| 2025 | "AlphAI": Teaching AI Algorithms to K12 by Training Learning Robots and Visualizing How It Works. Marie Absalon, Thomas Deneux |
| 2025 | "From Unseen Needs to Classroom Solutions": Exploring AI Literacy Challenges & Opportunities with Project-Based Learning Toolkit in K-12 Education. Hanqi Li, Ruiwei Xiao, Hsuan Nieu, Ying-Jui Tseng, Guan-Ze Liao |
| 2025 | (1+1) Genetic Programming with Functionally Complete Instruction Sets Can Evolve Boolean Conjunctions and Disjunctions with Arbitrarily Small Error. Benjamin Doerr, Andrei Lissovoi, Pietro S. Oliveto |
| 2025 | (Almost Full) EFX for Three (and More) Types of Agents. Pratik Ghosal, Vishwa Prakash HV, Prajakta Nimbhorkar, Nithin Varma |
| 2025 | 2-in-1 Phishing Detection via Large LM Distillation and Small LM Perturbation (Student Abstract). Calvin Greenewald, Bradley Ashmore, Chien-Sing Poon, Lingwei Chen |
| 2025 | 3CAD: A Large-Scale Real-World 3C Product Dataset for Unsupervised Anomaly Detection. Enquan Yang, Peng Xing, Hanyang Sun, Wenbo Guo, Yuanwei Ma, Zechao Li, Dan Zeng |
| 2025 | 3D Annotation-Free Learning by Distilling 2D Open-Vocabulary Segmentation Models for Autonomous Driving. Boyi Sun, Yuhang Liu, Xingxia Wang, Bin Tian, Long Chen, Fei-Yue Wang |
| 2025 | 3D Denoisers Are Good 2D Teachers: Molecular Pretraining via Denoising and Cross-Modal Distillation. Sungjun Cho, Dae-Woong Jeong, Sung Moon Ko, Jinwoo Kim, Sehui Han, Seunghoon Hong, Honglak Lee, Moontae Lee |
| 2025 | 3D Measurement of Complex Textured Objects Based on Bidirectional Fringe Projection. Yuchong Chen, Jian Yu, Shaoyan Gai, Zeyu Cai, Feipeng Da |
| 2025 | 3D-RPE: Enhancing Long-Context Modeling Through 3D Rotary Position Encoding. Xindian Ma, Wenyuan Liu, Peng Zhang, Nan Xu |
| 2025 | 3D-aware Select, Expand, and Squeeze Token for Aerial Action Recognition. Luying Peng, Xiangbo Shu, Yazhou Yao, Guo-Sen Xie |
| 2025 | 3DHumanEdit: Multi-modal Body Part-aware Conditioning Information Integration for 3D Human Manipulation. FeiFan Xu, Tianyi Chen, Fan Yang, Yunfei Zhang, Si Wu |
| 2025 | 3DMambaIPF: A State Space Model for Iterative Point Cloud Filtering via Differentiable Rendering. Qingyuan Zhou, Weidong Yang, Ben Fei, Jingyi Xu, Rui Zhang, Keyi Liu, Yeqi Luo, Ying He |
| 2025 | 3DPGS: 3D Probabilistic Graph Search for Archaeological Piece Grouping. Junfeng Cheng, Yingkai Yang, Tania Stathaki |
| 2025 | 3D²-Actor: Learning Pose-Conditioned 3D-Aware Denoiser for Realistic Gaussian Avatar Modeling. Zichen Tang, Hongyu Yang, Hanchen Zhang, Jiaxin Chen, Di Huang |
| 2025 | 3M-Game: Multi-Modal Multi-Task Multi-Teacher Learning for Game Event Detection (Student Abstract). Thye Shan Ng, Feiqi Cao, Soyeon Caren Han |
| 2025 | 3SAT: A Simple Self-Supervised Adversarial Training Framework. Jiang Fang, Haonan He, Jiyan Sun, Jiadong Fu, Zhaorui Guo, Yinlong Liu, Wei Ma |
| 2025 | 4D Diffusion for Dynamic Protein Structure Prediction with Reference and Motion Guidance. Kaihui Cheng, Ce Liu, Qingkun Su, Jun Wang, Liwei Zhang, Yining Tang, Yao Yao, Siyu Zhu, Yuan Qi |
| 2025 | A (1+?)-Approximation for Ultrametric Embedding in Subquadratic Time. Gabriel Bathie, Guillaume Lagarde |
| 2025 | A Black-Box Evaluation Framework for Semantic Robustness in Bird's Eye View Detection. Fu Wang, Yanghao Zhang, Xiangyu Yin, Guangliang Cheng, Zeyu Fu, Xiaowei Huang, Wenjie Ruan |
| 2025 | A Compact Implicit Neural Representation for Efficient Storage of Massive 4D Functional Magnetic Resonance Imaging. Ruoran Li, Runzhao Yang, Wenxin Xiang, Yuxiao Cheng, Tingxiong Xiao, Lu Yang, Jinli Suo |
| 2025 | A Compact Model for Mathematics Problem Representations Distilled from BERT. Hao Ming, Xinguo Yu, Xiaotian Cheng, Zhenquan Shen, Xiaopan Lyu |
| 2025 | A Complete Algorithm for Optimization Modulo Nonlinear Real Arithmetic. Fuqi Jia, Yuhang Dong, Rui Han, Pei Huang, Minghao Liu, Feifei Ma, Jian Zhang |
| 2025 | A Comprehensive Evaluation on Event Reasoning of Large Language Models. Zhengwei Tao, Zhi Jin, Yifan Zhang, Xiancai Chen, Haiyan Zhao, Jia Li, Bin Liang, Chongyang Tao, Qun Liu, Kam-Fai Wong |
| 2025 | A Comprehensive Overhaul of Multimodal Assistant with Small Language Models. Minjie Zhu, Yichen Zhu, Ning Liu, Xin Liu, Zhiyuan Xu, Chaomin Shen, Yaxin Peng |
| 2025 | A Computationally Grounded Framework for Cognitive Attitudes. Tiago de Lima, Emiliano Lorini, Elise Perrotin, François Schwarzentruber |
| 2025 | A Continuous-time Tractable Model for Present-biased Agents. Yasunori Akagi, Hideaki Kim, Takeshi Kurashima |
| 2025 | A Deep Learning Method for Document Shadow Removal with Sobel Prior under Mask Supervision. Jiarui Li |
| 2025 | A Deep Probabilistic Framework for Continuous Time Dynamic Graph Generation. Ryien Hosseini, Filippo Simini, Venkatram Vishwanath, Henry Hoffmann |
| 2025 | A Denoising Pre-training Framework for Accelerating Novel Material Discovery. Shuaike Shen, Ke Liu, Muzhi Zhu, Hao Chen |
| 2025 | A Deployed Online Reinforcement Learning Algorithm in an Oral Health Clinical Trial. Anna L. Trella, Kelly W. Zhang, Hinal Jajal, Inbal Nahum-Shani, Vivek Shetty, Finale Doshi-Velez, Susan A. Murphy |
| 2025 | A Diffusion-Based Framework for Occluded Object Movement. Zheng-Peng Duan, Jiawei Zhang, Siyu Liu, Zheng Lin, Chun-Le Guo, Dongqing Zou, Jimmy S. J. Ren, Chongyi Li |
| 2025 | A Domain-Independent Agent Architecture for Adaptive Operation in Evolving Open Worlds. Shiwali Mohan, Wiktor Piotrowski, Roni Stern, Sachin Grover, Sookyung Kim, Jacob Le, Johan de Kleer, Yoni Sher |
| 2025 | A Gaussian Filter-Based 3D Registration Method for Series Section Electron Microscopy. Zhenbang Zhang, Hongjia Li, Zhiqiang Xu, Wenjia Meng, Renmin Han |
| 2025 | A Generalizable Anomaly Detection Method in Dynamic Graphs. Xiao Yang, Xuejiao Zhao, Zhiqi Shen |
| 2025 | A Generative Approach at the Instance-Level for Image Segmentation Under Limited Training Data Conditions (Student Abstract). Thanh-Danh Nguyen, Vinh-Tiep Nguyen, Tam V. Nguyen |
| 2025 | A High-Efficiency Federated Learning Method Using Complementary Pruning for D2D Communication (Student Abstract). Xiaoqing Xu, Jiaming Pei, Lukun Wang |
| 2025 | A Hybrid Approach for Visual Recognition of Object States. Filippos Gouidis |
| 2025 | A Hybrid Framework for Airfoil Optimization: Combining PINNs and Genetic Algorithm (Student Abstract). Shubhanshu Rao, Gaurav Kumar, Martin Agelin-Chaab |
| 2025 | A Knowledge Distillation-Based Approach to Enhance Transparency of Classifier Models. Yuchen Jiang, Xinyuan Zhao, Yihang Wu, Ahmad Chaddad |
| 2025 | A Label-free Heterophily-guided Approach for Unsupervised Graph Fraud Detection. Junjun Pan, Yixin Liu, Xin Zheng, Yizhen Zheng, Alan Wee-Chung Liew, Fuyi Li, Shirui Pan |
| 2025 | A Layer Selection Approach to Test Time Adaptation. Sabyasachi Sahoo, Mostafa ElAraby, Jonas Ngnawé, Yann Batiste Pequignot, Frédéric Precioso, Christian Gagné |
| 2025 | A Lightweight Sparse Interaction Network for Time Series Forecasting. Xu Zhang, Qitong Wang, Peng Wang, Wei Wang |
| 2025 | A Logical Analysis of Hanabi. Elise Perrotin |
| 2025 | A Lottery Ticket Hypothesis Approach with Sparse Fine-tuning and MAE for Image Forgery Detection and Localization. Jiaying Zhu, Dong Li, Xueyang Fu, Gege Shi, Jie Xiao, Aiping Liu, Zheng-Jun Zha |
| 2025 | A Many-Objective Problem Where Crossover Is Provably Indispensable. Andre Opris |
| 2025 | A Matching-Based Algorithm for the Traveling Tournament Problem. Jingyang Zhao, Mingyu Xiao |
| 2025 | A Method for Enhancing Generalization of Adam by Multiple Integrations. Long Jin, Han Nong, Liangming Chen, Zhenming Su |
| 2025 | A Modal Logic for Joint Abilities of Structured Strategies with Bounded Complexity. Ruiqi Jin, Yongmei Liu, Liping Xiong |
| 2025 | A Modal Logic of Optimality (Student Abstract). James T. Oswald, Brandon Rozek, Thomas Macaulay Ferguson, Selmer Bringsjord |
| 2025 | A Multi-Focus-Driven Multi-Branch Network for Robust Multimodal Sentiment Analysis. Chuanqi Tao, Jiaming Li, Tianzi Zang, Peng Gao |
| 2025 | A Multi-Style Chinese Characters Writing Intelligent Tool Based on Small-scale Training Data. Zhen Zeng, Jie Wang, Xi Lyu |
| 2025 | A Multiagent Path Search Algorithm for Large-Scale Coalition Structure Generation. Redha Taguelmimt, Samir Aknine, Djamila Boukredera, Narayan Changder, Tuomas Sandholm |
| 2025 | A New Adversarial Perspective for LiDAR-based 3D Object Detection. Shijun Zheng, Weiquan Liu, Yu Guo, Yu Zang, Siqi Shen, Cheng Wang |
| 2025 | A New Federated Learning Framework Against Gradient Inversion Attacks. Pengxin Guo, Shuang Zeng, Wenhao Chen, Xiaodan Zhang, Weihong Ren, Yuyin Zhou, Liangqiong Qu |
| 2025 | A New Formula for Sticker Retrieval: Reply with Stickers in Multi-Modal and Multi-Session Conversation. Bingbing Wang, Yiming Du, Bin Liang, Zhixin Bai, Min Yang, Baojun Wang, Kam-Fai Wong, Ruifeng Xu |
| 2025 | A No Free Lunch Theorem for Human-AI Collaboration. Kenny Peng, Nikhil Garg, Jon M. Kleinberg |
| 2025 | A Novel Diffusion Model for Pairwise Geoscience Data Generation with Unbalanced Training Dataset. Junhuan Yang, Yuzhou Zhang, Yi Sheng, Youzuo Lin, Lei Yang |
| 2025 | A Pioneering Neural Network Method for Efficient and Robust Fuel Sloshing Simulation in Aircraft. Yu Chen, Shuai Zheng, Nianyi Wang, Menglong Jin, Yan Chang |
| 2025 | A Plug-and-Play Bregman ADMM Module for Inferring Event Branches in Temporal Point Processes. Qingmei Wang, Yuxin Wu, Yujie Long, Jing Huang, Fengyuan Ran, Bing Su, Hongteng Xu |
| 2025 | A Practical Approach to Causal Inference over Time. Martina Cinquini, Isacco Beretta, Salvatore Ruggieri, Isabel Valera |
| 2025 | A Privacy-Preserving Framework for Generative Model-driven Synthetic Datasets. Debalina Padariya |
| 2025 | A Renormalization Group Framework for Scale-Invariant Feature Learning in Deep Neural Networks (Student Abstract). Sarah Liaw |
| 2025 | A Robust Prototype-Based Network with Interpretable RBF Classifier Foundations. Sascha Saralajew, Ashish Rana, Thomas Villmann, Ammar Shaker |
| 2025 | A Sample-Level Evaluation and Generative Framework for Model Inversion Attacks. Haoyang Li, Li Bai, Qingqing Ye, Haibo Hu, Yaxin Xiao, Huadi Zheng, Jianliang Xu |
| 2025 | A Scalable and Effective Alternative to Graph Transformers. Kaan Sancak, Zhigang Hua, Jin Fang, Yan Xie, Andrey Malevich, Bo Long, Muhammed Fatih Balin, Ümit V. Çatalyürek |
| 2025 | A Similarity Paradigm Through Textual Regularization Without Forgetting. Fangming Cui, Jan Fong, Rongfei Zeng, Xinmei Tian, Jun Yu |
| 2025 | A Simple Graph Contrastive Learning Framework for Short Text Classification. Yonghao Liu, Fausto Giunchiglia, Lan Huang, Ximing Li, Xiaoyue Feng, Renchu Guan |
| 2025 | A Simple and Comprehensive Benchmark for Single-Cell Transcriptomics. Jiaxin Qi, Yan Cui, Kailei Guo, Xiaomin Zhang, Jianqiang Huang, Gaogang Xie |
| 2025 | A Spatio-temporal Cluster-aware Supervised Learning Framework for Predicting County-level Drug Overdose Deaths. Zixuan Feng, Qing Ye, Weijun Xie, Qiushi Chen |
| 2025 | A Stochastic Approach to Bi-Level Optimization for Hyperparameter Optimization and Meta Learning. Minyoung Kim, Timothy M. Hospedales |
| 2025 | A Syntactic Approach to Computing Complete and Sound Abstraction in the Situation Calculus. Liangda Fang, Xiaoman Wang, Zhang Chen, Kailun Luo, Zhenhe Cui, Quanlong Guan |
| 2025 | A Systematic Exploration of Knowledge Graph Alignment with Large Language Models in Retrieval Augmented Generation. Shiyu Tian, Shuyue Xing, Xingrui Li, Yangyang Luo, Caixia Yuan, Wei Chen, Huixing Jiang, Xiaojie Wang |
| 2025 | A Theoretical Framework for an Efficient Normalizing Flow-Based Solution to the Electronic Schrödinger Equation. Daniel Freedman, Eyal Rozenberg, Alex M. Bronstein |
| 2025 | A Theory of Formalisms for Representing Knowledge. Heng Zhang, Guifei Jiang, Donghui Quan |
| 2025 | A Thorough Comparison Between Independent Cascade and Susceptible-Infected-Recovered Models. Panfeng Liu, Guoliang Qiu, Biaoshuai Tao, Kuan Yang |
| 2025 | A Training-free Synthetic Data Selection Method for Semantic Segmentation. Hao Tang, Siyue Yu, Jian Pang, Bingfeng Zhang |
| 2025 | A Trusted Lesion-assessment Network for Interpretable Diagnosis of Coronary Artery Disease in Coronary CT Angiography. Xinghua Ma, Xinyan Fang, Mingye Zou, Gongning Luo, Wei Wang, Kuanquan Wang, Zhaowen Qiu, Xin Gao, Shuo Li |
| 2025 | A Unified Degradation-Robust Approach to SSL and UDA for 3D Medical Images. Suruchi Kumari, Pravendra Singh |
| 2025 | A Unified Framework for Human-Allied Learning of Probabilistic Circuits. Athresh Karanam, Saurabh Mathur, Sahil Sidheekh, Sriraam Natarajan |
| 2025 | A Unified Loss for Handling Inter-Class and Intra-Class Imbalance in Medical Image Segmentation. Feilong Xu, Feiyang Yang, Xiongfei Li, Xiaoli Zhang |
| 2025 | A Unified Model of Direct and Indirect Reciprocity in Multichannel Games. Juan Shi, Zhaoheng Cao, Jinzhuo Liu, Chen Chu, Zhen Wang |
| 2025 | A Unifying Information-theoretic Perspective on Evaluating Generative Models. Alexis Fox, Samarth Swarup, Abhijin Adiga |
| 2025 | A Variable Occurrence-Centric Framework for Inconsistency Handling. Yakoub Salhi |
| 2025 | A Versatile Low-Cost Kit for Teaching Novice Learners AI Using Robotics Components and a No-Code Development Playground. Anssi Lin, Anssi Salonen, Nicolas Pope, Henriikka Vartiainen, Matti Tedre |
| 2025 | A Video-grounded Dialogue Dataset and Metric for Event-driven Activities. Wiradee Imrattanatrai, Masaki Asada, Kimihiro Hasegawa, Zhi-Qi Cheng, Ken Fukuda, Teruko Mitamura |
| 2025 | A Vision for Reinventing Credible Elections with Artificial Intelligence. Biplav Srivastava |
| 2025 | A Wander Through the Multimodal Landscape: Efficient Transfer Learning via Low-rank Sequence Multimodal Adapter. Zirun Guo, Xize Cheng, Yangyang Wu, Tao Jin |
| 2025 | A Wiener Process Perspective on Local Intrinsic Dimension Estimation Methods. Piotr Tempczyk, Lukasz Garncarek, Dominik Filipiak, Adam Kurpisz |
| 2025 | A-VL: Adaptive Attention for Large Vision-Language Models. Junyang Zhang, Mu Yuan, Ruiguang Zhong, Puhan Luo, Huiyou Zhan, Ningkang Zhang, Chengchen Hu, Xiang-Yang Li |
| 2025 | AAKR: Adversarial Attack-based Knowledge Retention for Continual Semantic Segmentation. Zhidong Yu, Xiaoman Liu, Jiajun Hu, Zhenbo Shi, Wei Yang |
| 2025 | ABC3: Active Bayesian Causal Inference with Cohn Criteria in Randomized Experiments. Taehun Cha, Donghun Lee |
| 2025 | ABQ-LLM: Arbitrary-Bit Quantized Inference Acceleration for Large Language Models. Chao Zeng, Songwei Liu, Yusheng Xie, Hong Liu, Xiaojian Wang, Miao Wei, Shu Yang, Fangmin Chen, Xing Mei |
| 2025 | ACCon: Angle-Compensated Contrastive Regularizer for Deep Regression. Botao Zhao, Xiaoyang Qu, Zuheng Kang, Junqing Peng, Jing Xiao, Jianzong Wang |
| 2025 | ACPBench: Reasoning About Action, Change, and Planning. Harsha Kokel, Michael Katz, Kavitha Srinivas, Shirin Sohrabi |
| 2025 | AD4CD: Causal-Guided Anomaly Detection for Enhancing Cognitive Diagnosis. Haiping Ma, Yue Yao, Changqian Wang, Siyu Song, Yong Yang |
| 2025 | ADBA: Approximation Decision Boundary Approach for Black-Box Adversarial Attacks. Feiyang Wang, Xingquan Zuo, Hai Huang, Gang Chen |
| 2025 | ADELA: Accelerating Evolutionary Design of Machine Learning Pipelines with the Accompanying Surrogate Model. Yang Gu, Jian Cao, Hengyu You, Nengjun Zhu, Shiyou Qian |
| 2025 | AE-NeRF: Augmenting Event-Based Neural Radiance Fields for Non-ideal Conditions and Larger Scenes. Chaoran Feng, Wangbo Yu, Xinhua Cheng, Zhenyu Tang, Junwu Zhang, Li Yuan, Yonghong Tian |
| 2025 | AFFAKT: A Hierarchical Optimal Transport Based Method for Affective Facial Knowledge Transfer in Video Deception Detection. Zihan Ji, Xuetao Tian, Ye Liu |
| 2025 | AFiRe: Anatomy-Driven Self-Supervised Learning for Fine-Grained Representation in Radiographic Images. Yihang Liu, Lianghua He, Ying Wen, Longzhen Yang, Hongzhou Chen |
| 2025 | AGFSync: Leveraging AI-Generated Feedback for Preference Optimization in Text-to-Image Generation. Jingkun An, Yinghao Zhu, Zongjian Li, Enshen Zhou, Haoran Feng, Xijie Huang, Bohua Chen, Yemin Shi, Chengwei Pan |
| 2025 | AGLLDiff: Guiding Diffusion Models Towards Unsupervised Training-free Real-world Low-light Image Enhancement. Yunlong Lin, Tian Ye, Sixiang Chen, Zhenqi Fu, Yingying Wang, Wenhao Chai, Zhaohu Xing, Wenxue Li, Lei Zhu, Xinghao Ding |
| 2025 | AGMixup: Adaptive Graph Mixup for Semi-supervised Node Classification. Weigang Lu, Ziyu Guan, Wei Zhao, Yaming Yang, Yibing Zhan, Yiheng Lu, Dapeng Tao |
| 2025 | AI Chef Trainer: Introducing Students to the Importance of Data in Machine Learning. Saniya Vahedian Movahed, Fred Martin |
| 2025 | AI Governance and Lessons Learned as an AI Policy Advisor in the United States Senate. Serena Booth |
| 2025 | AI Toolkit: Libraries and Essays for Exploring the Technology and Ethics Behind AI. Levin Ho, Morgan McErlean, Zehua You, Douglas S. Blank, Lisa Meeden |
| 2025 | AI-Driven Multicultural Identity Preservation. Iteoluwa Ibitoye |
| 2025 | AI-Driven Personalized Fall Prevention for Older Adults. Katherine Xu |
| 2025 | AI-Driven Virtual Teacher for Enhanced Educational Efficiency: Leveraging Large Pretrain Models for Autonomous Error Analysis and Correction. Tianlong Xu, Yifan Zhang, Zhendong Chu, Shen Wang, Qingsong Wen |
| 2025 | AI-Powered Algorithm-Centric Quantum Processor Topology Design. Tian Li, Xiao-Yue Xu, Chen Ding, Tian-Ci Tian, Wei-You Liao, Shuo Zhang, He-Liang Huang |
| 2025 | AI-generated Image Quality Assessment in Visual Communication. Yu Tian, Yixuan Li, Baoliang Chen, Hanwei Zhu, Shiqi Wang, Sam Kwong |
| 2025 | AIA: Autoregression-Based Injection Attacks Against Text2SQL Models. Deyin Li, Xiang Ling, Changjiang Li, Xiang Chen, Chunming Wu |
| 2025 | AIF-SFDA: Autonomous Information Filter Driven Source-Free Domain Adaptation for Medical Image Segmentation. Haojin Li, Heng Li, Jianyu Chen, Rihan Zhong, Ke Niu, Huazhu Fu, Jiang Liu |
| 2025 | AIM: Additional Image Guided Generation of Transferable Adversarial Attacks. Teng Li, Xingjun Ma, Yu-Gang Jiang |
| 2025 | AIM: Let Any Multimodal Large Language Models Embrace Efficient In-Context Learning. Jun Gao, Qian Qiao, Tianxiang Wu, Zili Wang, Ziqiang Cao, Wenjie Li |
| 2025 | AIQViT: Architecture-Informed Post-Training Quantization for Vision Transformers. Runqing Jiang, Ye Zhang, Longguang Wang, Pengpeng Yu, Yulan Guo |
| 2025 | AIR: Unifying Individual and Collective Exploration in Cooperative Multi-Agent Reinforcement Learning. Guangchong Zhou, Zeren Zhang, Guoliang Fan |
| 2025 | ALADE-SNN: Adaptive Logit Alignment in Dynamically Expandable Spiking Neural Networks for Class Incremental Learning. Wenyao Ni, Jiangrong Shen, Qi Xu, Huajin Tang |
| 2025 | ALLVB: All-in-One Long Video Understanding Benchmark. Xichen Tan, Yuanjing Luo, Yunfan Ye, Fang Liu, Zhiping Cai |
| 2025 | ALRMR-GEC: Adjusting Learning Rate Based on Memory Rate to Optimize the Edit Scorer for Grammatical Error Correction. Zhixiao Wu, Yao Lu, Jie Wen, Guangming Lu |
| 2025 | ALTBI: Constructing Improved Outlier Detection Models via Optimization of Inlier-Memorization Effect. Seoyoung Cho, Jaesung Hwang, Kwan-Young Bak, Dongha Kim |
| 2025 | APAR: Modeling Irregular Target Functions in Tabular Regression via Arithmetic-Aware Pre-Training and Adaptive-Regularized Fine-Tuning. Hong-Wei Wu, Wei-Yao Wang, Kuang-Da Wang, Wen-Chih Peng |
| 2025 | APIRL: Deep Reinforcement Learning for REST API Fuzzing. Myles Foley, Sergio Maffeis |
| 2025 | APKGC: Noise-enhanced Multi-Modal Knowledge Graph Completion with Attention Penalty. Yue Jian, Xiangyu Luo, Zhifei Li, Miao Zhang, Yan Zhang, Kui Xiao, Xiaoju Hou |
| 2025 | APR-RD: Complemental Two Steps for Self-Supervised Real Image Denoising. Hyunjun Kim, Nam Ik Cho |
| 2025 | AQUAFace: Age-Invariant Quality Adaptive Face Recognition for Unconstrained Selfie vs ID Verification. Shivang Agarwal, Jyoti Chaudhary, Sadiq Siraj Ebrahim, Mayank Vatsa, Richa Singh, Shyam Prasad Adhikari, Sangeeth Reddy Battu |
| 2025 | ARNet: Self-Supervised FG-SBIR with Unified Sample Feature Alignment and Multi-Scale Token Recycling. Jianan Jiang, Hao Tang, Zhilin Jiang, Weiren Yu, Di Wu |
| 2025 | ARTICLE: Annotator Reliability Through In-Context Learning (Student Abstract). Sujan Dutta, Deepak Pandita, Tharindu Cyril Weerasooriya, Marcos Zampieri, Christopher M. Homan, Ashiqur R. KhudaBukhsh |
| 2025 | ARTICLE: Annotator Reliability Through In-Context Learning. Sujan Dutta, Deepak Pandita, Tharindu Cyril Weerasooriya, Marcos Zampieri, Christopher M. Homan, Ashiqur R. KhudaBukhsh |
| 2025 | AS-Det: Active Sampling for Adaptive 3D Object Detection in Point Clouds. Ziheng Ding, Xiaze Zhang, Qi Jing, Ying Cheng, Rui Feng |
| 2025 | ASER: Activation Smoothing and Error Reconstruction for Large Language Model Quantization. Weibo Zhao, Yubin Shi, Xinyu Lyu, Wanchen Sui, Shen Li, Yong Li |
| 2025 | ASP-Driven Emergency Planning for Norm Violations in Reinforcement Learning. Sebastian P. Adam, Thomas Eiter |
| 2025 | AUTE: Peer-Alignment and Self-Unlearning Boost Adversarial Robustness for Training Ensemble Models. Lifeng Huang, Tian Su, Chengying Gao, Ning Liu, Qiong Huang |
| 2025 | AWRaCLe: All-Weather Image Restoration Using Visual In-Context Learning. Sudarshan Rajagopalan, Vishal M. Patel |
| 2025 | Accelerated Diffusion via High-Low Frequency Decomposition for Pan-Sharpening. Ge Meng, Jingjia Huang, Jingyan Tu, Yingying Wang, Yunlong Lin, Xiaotong Tu, Yue Huang, Xinghao Ding |
| 2025 | Accelerated Methods with Compressed Communications for Distributed Optimization Problems Under Data Similarity. Dmitry Bylinkin, Aleksandr Beznosikov |
| 2025 | Accessible Hardware Implementation for Multi-Agent Collective Construction. Martin Rames, Pavel Surynek |
| 2025 | Accessible, At-Home Detection of Parkinson's Disease via Multi-Task Video Analysis. Md. Saiful Islam, T. M. Tariq Adnan, Jan Freyberg, Sangwu Lee, Abdelrahman Abdelkader, Meghan Pawlik, Cathe Schwartz, Karen Jaffe, Ruth B. Schneider, Earl Ray Dorsey, Ehsan Hoque |
| 2025 | Accounting for Spatial Variability with the Histogram of Oriented Gradients Based Masking Improves Performance of Masked Autoencoder over Hyperspectral Satellite Imagery (Student Abstract). Tanjim Bin Faruk, Abdul Matin, Shrideep Pallickara, Sangmi Lee Pallickara |
| 2025 | Accurate Estimation of Feature Importance Faithfulness for Tree Models. Mateusz Gajewski, Adam Karczmarz, Mateusz Rapicki, Piotr Sankowski |
| 2025 | Accurate Link Prediction for Edge-Incomplete Graphs via PU Learning. Junghun Kim, Ka Hyun Park, Hoyoung Yoon, U Kang |
| 2025 | Accurate Nucleic Acid-Binding Residue Identification Based Domain-Adaptive Protein Language Model and Explainable Geometric Deep Learning. Wenwu Zeng, Liangrui Pan, Boya Ji, Liwen Xu, Shaoliang Peng |
| 2025 | Accurate and Regret-Aware Numerical Problem Solver for Tabular Question Answering. Yuxiang Wang, Jianzhong Qi, Junhao Gan |
| 2025 | Achieving Balanced Representation in School Choice with Diversity Goals. Zhaohong Sun, Makoto Yokoo |
| 2025 | Achieving Ensemble-Like Performance in a Single Model: A Feature Diversification Framework for Image-Text Matching. Zhao Zhou, Yiqun Wang, Weizhong Zhang, Yingbin Zheng, Xiangcheng Du, Cheng Jin |
| 2025 | Achieving Lightweight Super-Resolution for Real-Time Computer Graphics. Yu Wen, Chen Zhang, Chenhao Xie, Xin Fu |
| 2025 | Achieving Maximin Share and EFX/EF1 Guarantees Simultaneously. Hannaneh Akrami, Nidhi Rathi |
| 2025 | Achieving Speed-Accuracy Balance in Vision-based 3D Occupancy Prediction via Geometric-Semantic Disentanglement. Yulin He, Wei Chen, Siqi Wang, Tianci Xun, Yusong Tan |
| 2025 | Acoustic-to-Hyper-Spectral: Hyper-Spectral Image Construction from Frequency Spectrums Through Simulated Annealing (Student Abstract). Ruth-Emely Pierau, Alaster Meehan, Hamid Rezatofighi, Peter J. Stuckey |
| 2025 | Acting Beyond Learning: Imagination-Assisted Decision-Making in the Visual-based Multi-Agent Cooperative Scenarios. Huanhuan Yang, Dianxi Shi, Songchang Jin, Guojun Xie, Yang Chen, Chunping Qiu, Shaowu Yang |
| 2025 | Action-Agnostic Point-Level Supervision for Temporal Action Detection. Shuhei M. Yoshida, Takashi Shibata, Makoto Terao, Takayuki Okatani, Masashi Sugiyama |
| 2025 | Active Fourier Auditor for Estimating Distributional Properties of ML Models. Ayoub Ajarra, Bishwamittra Ghosh, Debabrota Basu |
| 2025 | Active Geospatial Search for Efficient Tenant Eviction Outreach. Anindya Sarkar, Alex DiChristofano, Sanmay Das, Patrick J. Fowler, Nathan Jacobs, Yevgeniy Vorobeychik |
| 2025 | Active Large Language Model-Based Knowledge Distillation for Session-Based Recommendation. Yingpeng Du, Zhu Sun, Ziyan Wang, Haoyan Chua, Jie Zhang, Yew-Soon Ong |
| 2025 | Active Reinforcement Learning Strategies for Offline Policy Improvement. Ambedkar Dukkipati, Ranga Shaarad Ayyagari, Bodhisattwa Dasgupta, Parag Dutta, Prabhas Reddy Onteru |
| 2025 | Active Symbolic Discovery of Ordinary Differential Equations via Phase Portrait Sketching. Nan Jiang, Md. Nasim, Yexiang Xue |
| 2025 | AdaCo: Overcoming Visual Foundation Model Noise in 3D Semantic Segmentation via Adaptive Label Correction. Pufan Zou, Shijia Zhao, Weijie Huang, Qiming Xia, Chenglu Wen, Wei Li, Cheng Wang |
| 2025 | AdaDPCC: Adaptive Rate Control and Rate-Distortion-Complexity Optimization for Dynamic Point Cloud Compression. Chenhao Zhang, Wei Gao |
| 2025 | AdaDiff: Adaptive Step Selection for Fast Diffusion Models. Hui Zhang, Zuxuan Wu, Zhen Xing, Jie Shao, Yu-Gang Jiang |
| 2025 | AdaGK-SGD: Adaptive Global Knowledge Guided Distributed Stochastic Gradient Descent. Hangyu Ye, Weiying Xie, Yunsong Li, Leyuan Fang |
| 2025 | AdaO2B: Adaptive Online to Batch Conversion for Out-of-Distribution Generalization. Xiao Zhang, Sunhao Dai, Jun Xu, Yong Liu, Zhenhua Dong |
| 2025 | AdaSkip: Adaptive Sublayer Skipping for Accelerating Long-Context LLM Inference. Zhuomin He, Yizhen Yao, Pengfei Zuo, Bin Gao, Qinya Li, Zhenzhe Zheng, Fan Wu |
| 2025 | Adapting to Non-Stationary Environments: Multi-Armed Bandit Enhanced Retrieval-Augmented Generation on Knowledge Graphs. Xiaqiang Tang, Jian Li, Nan Du, Sihong Xie |
| 2025 | Adaptive Agents for Mixed-Initiative Human-AI Collaborations. Manisha Natarajan |
| 2025 | Adaptive Calibration: A Unified Conversion Framework of Spiking Neural Networks. Ziqing Wang, Yuetong Fang, Jiahang Cao, Hongwei Ren, Renjing Xu |
| 2025 | Adaptive Computation Modules: Granular Conditional Computation for Efficient Inference. Bartosz Wójcik, Alessio Devoto, Karol Pustelnik, Pasquale Minervini, Simone Scardapane |
| 2025 | Adaptive Dataset Quantization. Muquan Li, Dongyang Zhang, Qiang Dong, Xiurui Xie, Ke Qin |
| 2025 | Adaptive Decision Boundary for Few-Shot Class-Incremental Learning. Linhao Li, Yongzhang Tan, Siyuan Yang, Hao Cheng, Yongfeng Dong, Liang Yang |
| 2025 | Adaptive Draft-Verification for Efficient Large Language Model Decoding. Xukun Liu, Bowen Lei, Ruqi Zhang, Dongkuan Xu |
| 2025 | Adaptive Dual Guidance Knowledge Distillation. Tong Li, Long Liu, Kang Liu, Xin Wang, Bo Zhou, Hongguang Yang, Kai Lu |
| 2025 | Adaptive Dual-domain Learning for Underwater Image Enhancement. Lintao Peng, Liheng Bian |
| 2025 | Adaptive Experimental Design to Accelerate Scientific Discovery and Engineering Design. Aryan Deshwal |
| 2025 | Adaptive Few-shot Prompting for Machine Translation with Pre-trained Language Models. Lei Tang, Jinghui Qin, Wenxuan Ye, Hao Tan, Zhijing Yang |
| 2025 | Adaptive Guidance: Training-free Acceleration of Conditional Diffusion Models. Angela Castillo, Jonas Kohler, Juan C. Pérez, Juan Pablo Pérez, Albert Pumarola, Bernard Ghanem, Pablo Arbeláez, Ali K. Thabet |
| 2025 | Adaptive Manipulation for Coalitions in Knockout Tournaments. Juhi Chaudhary, Hendrik Molter, Meirav Zehavi |
| 2025 | Adaptive Market Making with Inventory Constraints via Online Learning. Shan Xue, Ye Du, Liang Xu |
| 2025 | Adaptive Merchant-Centric Risk Control via Unbiased Decision-Making and Dynamic Optimization in E-Commerce. Xu Liu, Yiqiang Lu, Jian Liu, Tianyi Zhang, Weiqiang Wang, Qian Liu, Shuai Li |
| 2025 | Adaptive Multi-Faceted Service Capabilities Co-Prediction for Nationwide Terminal Stations in Logistics. Shuxin Zhong, Kimberly Liu, Wenjun Lyu, Haotian Wang, Guang Wang, Yunhuai Liu, Tian He, Yu Yang, Desheng Zhang |
| 2025 | Adaptive Multi-Scale Decomposition Framework for Time Series Forecasting. Yifan Hu, Peiyuan Liu, Peng Zhu, Dawei Cheng, Tao Dai |
| 2025 | Adaptive Multimodal Fusion: Dynamic Attention Allocation for Intent Recognition. Bo Hu, Kai Zhang, Yanghai Zhang, Yuyang Ye |
| 2025 | Adaptive Prompt-Based Semantic Embedding with Inspire Potential of Implicit Knowledge for Cross-Modal Retrieval. Xin Huang, Shilong Wang, Tong Jia, Zhihang Gou, Jingjing Li |
| 2025 | Adaptive Prompting for Continual Relation Extraction: A Within-Task Variance Perspective. Minh Le, Tien Ngoc Luu, An Nguyen The, Thanh-Thien Le, Trang Nguyen, Tung Thanh Nguyen, Linh Ngo Van, Thien Huu Nguyen |
| 2025 | Adaptive Prototype Replay for Class Incremental Semantic Segmentation. Guilin Zhu, Dongyue Wu, Changxin Gao, Runmin Wang, Weidong Yang, Nong Sang |
| 2025 | Adaptive Sampling to Reduce Epistemic Uncertainty Using Prediction Interval-Generation Neural Networks. Giorgio Morales, John W. Sheppard |
| 2025 | Adaptive Siamese Masked Autoencoder with Global Optimization for Unsupervised Point Cloud Shape Correspondence. Jiacheng Deng, Jiahao Lu |
| 2025 | Adaptive Wavelet-Positional Encoding for High-Frequency Information Learning in Implicit Neural Representation. Hongxu Zhao, Zelin Gao, Yue Wang, Rong Xiong, Yu Zhang |
| 2025 | Adaptive-Grained Label Distribution Learning. Yunan Lu, Weiwei Li, Dun Liu, Huaxiong Li, Xiuyi Jia |
| 2025 | Addressing Cold-Start Problem in Click-Through Rate Prediction via Supervised Diffusion Modeling. Wenqiao Zhu, Lulu Wang, Jun Wu |
| 2025 | Addressing Multi-Label Learning with Partial Labels: From Sample Selection to Label Selection. Gengyu Lyu, Bohang Sun, Xiang Deng, Songhe Feng |
| 2025 | AdvDisplay: Adversarial Display Assembled by Thermoelectric Cooler for Fooling Thermal Infrared Detectors. Hao Li, Fanggao Wan, Yue Su, Yue Wu, Mingyang Zhang, Maoguo Gong |
| 2025 | Advancements in AI for Reasoning with Complex Data. Vivek Gupta |
| 2025 | Advancing Audio-Based Text Generation with Imbalance Preference Optimization. Zhenghao Zhou, Yongjie Liu, Chen Cao |
| 2025 | Advancing Comprehensive Aesthetic Insight with Multi-Scale Text-Guided Self-Supervised Learning. Yuti Liu, Shice Liu, Junyuan Gao, Peng-Tao Jiang, Hao Zhang, Jinwei Chen, Bo Li |
| 2025 | Advancing Feature Extraction in Healthcare through the Integration of Knowledge Graphs and Large Language Models. Fahmida Liza Piya, Rahmatollah Beheshti |
| 2025 | Advancing Intelligent Software Development and Trustworthy Models Through the Synergy of Software Engineering and LLMs. Guanqun Yang |
| 2025 | Advancing Loss Functions in Recommender Systems: A Comparative Study with a Rényi Divergence-Based Solution. Shengjia Zhang, Jiawei Chen, Changdong Li, Sheng Zhou, Qihao Shi, Yan Feng, Chun Chen, Can Wang |
| 2025 | Advancing Medical Multimodal Learning and Data Generation with Diffusion Model and LLM. Yuan Zhong |
| 2025 | Advancing Research on Equitable AI Education Through a Focus on Implementation: Insights from a Middle School Computer Vision Module Beta-Test. Christina A. Bosch, Mary Cate Gustafson-Quiett, Samar Abu Hegly, Sarah Wharton, John Masla, Lydia Guterman, Calvin Macatantan, Eric Klopfer, Hal Abelson, Cynthia Breazeal |
| 2025 | Advancing Retrosynthesis with Retrieval-Augmented Graph Generation. Anjie Qiao, Zhen Wang, Jiahua Rao, Yuedong Yang, Zhewei Wei |
| 2025 | Advancing Spiking Neural Networks Towards Multiscale Spatiotemporal Interaction Learning. Yimeng Shan, Malu Zhang, Ruijie Zhu, Xuerui Qiu, Jason K. Eshraghian, Haicheng Qu |
| 2025 | Adversarial Attacks on Event-Based Pedestrian Detectors: A Physical Approach. Guixu Lin, Muyao Niu, Qingtian Zhu, Zhengwei Yin, Zhuoxiao Li, Shengfeng He, Yinqiang Zheng |
| 2025 | Adversarial Contrastive Graph Augmentation with Counterfactual Regularization. Tao Long, Lei Zhang, Liang Zhang, Laizhong Cui |
| 2025 | Adversarial Contrastive Graph Masked AutoEncoder Against Graph Structure and Feature Dual Attacks. Weixuan Shen, Xiaobo Shen, Shirui Pan |
| 2025 | Adversarial Learning Under Hybrid Perturbations for Robust Acute Lymphoblastic Leukemia Classification. Jie Chen, Xinyuan Liu, Xintong Liu, Jianqiang Li |
| 2025 | Adversarial-Inspired Backdoor Defense via Bridging Backdoor and Adversarial Attacks. Jia-Li Yin, Weijian Wang, Lyhwa, Wei Lin, Ximeng Liu |
| 2025 | Adversity-aware Few-shot Named Entity Recognition via Augmentation Learning. Li Huang, Haowen Liu, Qiang Gao, Jiajing Yu, Guisong Liu, Xueqin Chen |
| 2025 | AeroGTO: An Efficient Graph-Transformer Operator for Learning Large-Scale Aerodynamics of 3D Vehicle Geometries. Pengwei Liu, Pengkai Wang, Xingyu Ren, Hangjie Yuan, Zhongkai Hao, Chao Xu, Shengze Cai, Dong Ni |
| 2025 | Aerodynamic Coefficients Prediction via Cross-Attention Fusion and Physical-Informed Training. Yueqing Wang, Peng Zhang, Yushuang Liu, Jianing Zhao, Jie Lin, Yi Chen |
| 2025 | Affirm: Interactive Mamba with Adaptive Fourier Filters for Long-term Time Series Forecasting. Yuhan Wu, Xiyu Meng, Huajin Hu, Junru Zhang, Yabo Dong, Dongming Lu |
| 2025 | Affordances-Oriented Planning Using Foundation Models for Continuous Vision-Language Navigation. Jiaqi Chen, Bingqian Lin, Xinmin Liu, Lin Ma, Xiaodan Liang, Kwan-Yee K. Wong |
| 2025 | Against All Odds: Overcoming Typology, Script, and Language Confusion in Multilingual Embedding Inversion Attacks. Yiyi Chen, Russa Biswas, Heather C. Lent, Johannes Bjerva |
| 2025 | Agent Trajectory Explorer: Visualizing and Providing Feedback on Agent Trajectories. Michael Desmond, Ja Young Lee, Ibrahim Ibrahim, James M. Johnson, Avirup Sil, Justin MacNair, Ruchir Puri |
| 2025 | Agent-Aware Training for Agent-Agnostic Action Advising in Deep Reinforcement Learning. Yaoquan Wei, Shunyu Liu, Jie Song, Tongya Zheng, Kaixuan Chen, Mingli Song |
| 2025 | Agent4Edu: Generating Learner Response Data by Generative Agents for Intelligent Education Systems. Weibo Gao, Qi Liu, Linan Yue, Fangzhou Yao, Rui Lv, Zheng Zhang, Hao Wang, Zhenya Huang |
| 2025 | AgentMixer: Multi-Agent Correlated Policy Factorization. Zhiyuan Li, Wenshuai Zhao, Lijun Wu, Joni Pajarinen |
| 2025 | Agentic AI for Digital Twin. Alexander Timms, Abigail Langbridge, Antonis Antonopoulos, Antonis Mygiakis, Eleni Voulgari, Fearghal O'Donncha |
| 2025 | AirRadar: Inferring Nationwide Air Quality in China with Deep Neural Networks. Qiongyan Wang, Yutong Xia, Siru Zhong, Weichuang Li, Yuankai Wu, Shifen Cheng, Junbo Zhang, Yu Zheng, Yuxuan Liang |
| 2025 | Algorithm Selection for Word-Level Hardware Model Checking (Student Abstract). Zhengyang Lu, Po-Chun Chien, Nian-Ze Lee, Vijay Ganesh |
| 2025 | Align-Pro: A Principled Approach to Prompt Optimization for LLM Alignment. Prashant Trivedi, Souradip Chakraborty, Avinash Reddy, Vaneet Aggarwal, Amrit Singh Bedi, George K. Atia |
| 2025 | Aligning Composed Query with Image via Discriminative Perception from Negative Correspondences. Yifan Wang, Wuliang Huang, Chun Yuan |
| 2025 | Aligning Instance Brownian Bridge with Texts for Open-Vocabulary Video Instance Segmentation. Zesen Cheng, Kehan Li, Hao Li, Peng Jin, Xiawu Zheng, Chang Liu, Jie Chen |
| 2025 | Aligning Language Models Using Follow-up Likelihood as Reward Signal. Chen Zhang, Dading Chong, Feng Jiang, Chengguang Tang, Anningzhe Gao, Guohua Tang, Haizhou Li |
| 2025 | Aligning Large Language Models for Faithful Integrity Against Opposing Argument. Yong Zhao, Yang Deng, See-Kiong Ng, Tat-Seng Chua |
| 2025 | Aligning Time-series by Local Trends: Applications in Public Health. Ajitesh Srivastava |
| 2025 | Aligning and Prompting Anything for Zero-Shot Generalized Anomaly Detection. Jitao Ma, Weiying Xie, Hangyu Ye, Daixun Li, Leyuan Fang |
| 2025 | Alignment of CNN and Human Judgments of Geometric and Topological Concepts. Neha Upadhyay, Vijay Marupudi, Kamala Varma, Sashank Varma |
| 2025 | Alignment-Free RGB-T Salient Object Detection: A Large-Scale Dataset and Progressive Correlation Network. Kunpeng Wang, Keke Chen, Chenglong Li, Zhengzheng Tu, Bin Luo |
| 2025 | All You Need Is S P A C E: When Jailbreaking Meets Bias Audit and Reveals What Lies Beneath the Guardrails (Student Abstract). Arka Dutta, Aman Priyanshu, Ashiqur R. KhudaBukhsh |
| 2025 | All You Need in Knowledge Distillation Is a Tailored Coordinate System. Junjie Zhou, Ke Zhu, Jianxin Wu |
| 2025 | All-in-One: Transferring Vision Foundation Models into Stereo Matching. Jingyi Zhou, Haoyu Zhang, Jiakang Yuan, Peng Ye, Tao Chen, Hao Jiang, Meiya Chen, Yangyang Zhang |
| 2025 | Alleviate and Mining: Rethinking Unsupervised Domain Adaptation for Mitochondria Segmentation from Pseudo-Label Perspective. Yujia Chen, Rui Sun, Wangkai Li, Huayu Mai, Naisong Luo, Yuwen Pan, Tianzhu Zhang |
| 2025 | Alleviating Dual Biases in Recommendation (Student Abstract). Sijin Lu, Fangyuan Luo, Jun Wu |
| 2025 | Alleviating Performance Disparity in Adversarial Spatiotemporal Graph Learning Under Zero-Inflated Distribution. Songran Bai, Yuheng Ji, Yue Liu, Xingwei Zhang, Xiaolong Zheng, Daniel Dajun Zeng |
| 2025 | Alleviating Shifted Distribution in Human Preference Alignment through Meta-Learning. Shihan Dou, Yan Liu, Enyu Zhou, Songyang Gao, Tianlong Li, Limao Xiong, Xin Zhao, Haoxiang Jia, Junjie Ye, Rui Zheng, Tao Gui, Qi Zhang, Xuanjing Huang |
| 2025 | AlphaForge: A Framework to Mine and Dynamically Combine Formulaic Alpha Factors. Hao Shi, Weili Song, Xinting Zhang, Jiahe Shi, Cuicui Luo, Xiang Ao, Hamid Arian, Luis Angel Seco |
| 2025 | Ambiguity-Restrained Text-Video Representation Learning for Partially Relevant Video Retrieval. Cheol-Ho Cho, WonJun Moon, Woojin Jun, Minseok Jung, Jae-Pil Heo |
| 2025 | Ambiguous Instance-Aware Contrastive Network with Multi-Level Matching for Multi-View Document Clustering. Zhenqiu Shu, Teng Sun, Yunwei Luo, Zhengtao Yu |
| 2025 | Amplifier: Bringing Attention to Neglected Low-Energy Components in Time Series Forecasting. Jingru Fei, Kun Yi, Wei Fan, Qi Zhang, Zhendong Niu |
| 2025 | An Algebraic Notion of Conditional Independence, and Its Application to Knowledge Representation. Jesse Heyninck |
| 2025 | An Alternative Theory of Stable Revision for Nondeterministic Approximation Fixpoint Theory and the Relationships. Spencer Killen, Jia-Huai You, Jesse Heyninck |
| 2025 | An And-Sum Circuit with Signed Edges That Is More Succinct than SDD. Ryoma Onaka, Kengo Nakamura, Masaaki Nishino, Norihito Yasuda |
| 2025 | An Application-Agnostic Automatic Target Recognition System Using Vision Language Models. Anthony Palladino, Dana Gajewski, Abigail Aronica, Patryk Deptula, Alexander Hamme, Seiyoung C. Lee, Jeff Muri, Todd Nelling, Michael A. Riley, Brian Wong, Margaret Duff |
| 2025 | An Automated Explainable Educational Assessment System Built on LLMs. Jiazheng Li, Artem Bobrov, David West, Cesare Aloisi, Yulan He |
| 2025 | An Automatic Sound and Complete Abstraction Method for Generalized Planning with Baggable Types. Hao Dong, Zheyuan Shi, Hemeng Zeng, Yongmei Liu |
| 2025 | An Efficient Framework for Enhancing Discriminative Models via Diffusion Techniques. Chunxiao Li, Xiaoxiao Wang, Boming Miao, Chuanlong Xie, Zizhe Wang, Yao Zhu |
| 2025 | An Efficient and Accurate Dynamic Sparse Training Framework Based on Parameter-Freezing. Lei Li, Haochen Yang, Jiacheng Guo, Hongkai Yu, Minghai Qin, Tianyun Zhang |
| 2025 | An Elite-guided Weighted Simulated Annealing Algorithm for the Clique Partitioning Problem. Baiyu Chen, Junwen Ding, Canhui Luo, Qingyun Zhang, Zhouxing Su, Zhipeng Lü |
| 2025 | An Enhanced Levenberg-Marquardt Method via Gram Reduction. Chengchang Liu, Luo Luo, John C. S. Lui |
| 2025 | An Evaluation Framework for Product Images Background Inpainting Based on Human Feedback and Product Consistency. Yuqi Liang, Jun Luo, Xiaoxi Guo, Jianqi Bi |
| 2025 | An Evaluation of Approaches to Train Embeddings for Logical Inference (Student Abstract). Yasir White, Jevon Lipsey, Jeff Heflin |
| 2025 | An Evolutionary Perspective on AI Alignment (Student Abstract). Ida Mattsson |
| 2025 | An Exemplar-based Framework for Chinese Text Recognition. Zhao Zhou, Xiangcheng Du, Yingbin Zheng, Xingjiao Wu, Cheng Jin |
| 2025 | An Expert System for Danish Traffic Law Cases (Student Abstract). Jonas Vistrup |
| 2025 | An Extension-Based Argument-Ranking Semantics: Social Rankings in Abstract Argumentation. Lars Bengel, Giovanni Buraglio, Jan Maly, Kenneth Skiba |
| 2025 | An Information-theoretic Multi-task Representation Learning Framework for Natural Language Understanding. Dou Hu, Lingwei Wei, Wei Zhou, Songlin Hu |
| 2025 | An Item Is Worth a Prompt: Versatile Image Editing with Disentangled Control. Aosong Feng, Weikang Qiu, Jinbin Bai, Zhen Dong, Kaicheng Zhou, Xiao Zhang, Rex Ying, Leandros Tassiulas |
| 2025 | An LLM-Empowered Adaptive Evolutionary Algorithm for Multi-Component Deep Learning Systems. Haoxiang Tian, Xingshuo Han, Guoquan Wu, An Guo, Yuan Zhou, Jie Zhang, Shuo Li, Jun Wei, Tianwei Zhang |
| 2025 | An LLM-Guided Tutoring System for Social Skills Training. Michael Guevarra, Indronil Bhattacharjee, Srijita Das, Christabel Wayllace, Carrie Demmans Epp, Matthew E. Taylor, Alan Tay |
| 2025 | An Open-Ended Learning Framework for Opponent Modeling. Yuheng Jing, Kai Li, Bingyun Liu, Haobo Fu, Qiang Fu, Junliang Xing, Jian Cheng |
| 2025 | An Optimal Transport-based Latent Mixer for Robust Multi-modal Learning. Fengjiao Gong, Angxiao Yue, Hongteng Xu |
| 2025 | An XAI Social Media Platform for Teaching K-12 Students AI-Driven Profiling, Clustering, and Engagement-Based Recommending. Nicolas Pope, Juho Kahila, Henriikka Vartiainen, Mohammed Saqr, Sonsoles López-Pernas, Teemu Roos, Jari Laru, Matti Tedre |
| 2025 | AnalogCoder: Analog Circuit Design via Training-Free Code Generation. Yao Lai, Sungyoung Lee, Guojin Chen, Souradip Poddar, Mengkang Hu, David Z. Pan, Ping Luo |
| 2025 | Analytical-Chemistry-Informed Transformer for Infrared Spectra Modeling. Shiluo Huang, Yining Jin, Wei Jin, Ying Mu |
| 2025 | Anatomical Knowledge Mining and Matching for Semi-supervised Medical Multi-structure Detection. Bin Pu, Liwen Wang, Jiewen Yang, Xingbo Dong, Benteng Ma, Zhuangzhuang Chen, Lei Zhao, Shengli Li, Kenli Li |
| 2025 | Anchor Learning with Potential Cluster Constraints for Multi-view Clustering. Yawei Chen, Huibing Wang, Jinjia Peng, Yang Wang |
| 2025 | Anchor Search: A Unified Framework for Suboptimal Bidirectional Search. Sepehr Lavasani, Lior Siag, Shahaf S. Shperberg, Ariel Felner, Nathan R. Sturtevant |
| 2025 | AnchorInv: Few-Shot Class-Incremental Learning of Physiological Signals via Feature Space-Guided Inversion. Chenqi Li, Boyan Gao, Gabriel Davis Jones, Timothy Denison, Tingting Zhu |
| 2025 | Answering Conjunctive Queries with Safe Negation and Inequalities over RDFS Knowledge Bases. Gianluca Cima, Marco Console, Roberto Maria Delfino, Maurizio Lenzerini, Antonella Poggi |
| 2025 | Anti-Diffusion: Preventing Abuse of Modifications of Diffusion-Based Models. Zheng Li, Liangbin Xie, Jiantao Zhou, Xintao Wang, Haiwei Wu, Jinyu Tian |
| 2025 | AnyTalk: Multi-modal Driven Multi-domain Talking Head Generation. Yu Wang, Yunfei Liu, Fa-Ting Hong, Meng Cao, Lijian Lin, Yu Li |
| 2025 | Anytime Multi-Agent Path Finding with an Adaptive Delay-Based Heuristic. Thomy Phan, Benran Zhang, Shao-Hung Chan, Sven Koenig |
| 2025 | Anywhere: A Multi-Agent Framework for User-Guided, Reliable, and Diverse Foreground-Conditioned Image Generation. Tianyidan Xie, Rui Ma, Qian Wang, Xiaoqian Ye, Feixuan Liu, Ying Tai, Zhenyu Zhang, Lanjun Wang, Zili Yi |
| 2025 | AoI-MDP: An AoI Optimized Markov Decision Process Dedicated in the Underwater Task (Student Abstract). Yimian Ding, Jingzehua Xu, Yiyuan Yang, Guanwen Xie, Xinqi Wang, Shuai Zhang |
| 2025 | AoP-SAM: Automation of Prompts for Efficient Segmentation. Yi Chen, Muyoung Son, Chuanbo Hua, Joo-Young Kim |
| 2025 | Apollo-Forecast: Overcoming Aliasing and Inference Speed Challenges in Language Models for Time Series Forecasting. Tianyi Yin, Jingwei Wang, Yunlong Ma, Han Wang, Chenze Wang, Yukai Zhao, Min Liu, Weiming Shen |
| 2025 | Approximate Bilevel Difference Convex Programming for Bayesian Risk Markov Decision Processes. Yifan Lin, Enlu Zhou |
| 2025 | Approximate State Abstraction for Markov Games. Hiroki Ishibashi, Kenshi Abe, Atsushi Iwasaki |
| 2025 | Approximated Variational Bayesian Inverse Reinforcement Learning for Large Language Model Alignment. Yuang Cai, Yuyu Yuan, Jinsheng Shi, Qinhong Lin |
| 2025 | Approximating Metric Magnitude of Point Sets. Rayna Andreeva, James Ward, Primoz Skraba, Jie Gao, Rik Sarkar |
| 2025 | Approximating Optimal Labelings for Temporal Connectivity. Daniele Carnevale, Gianlorenzo D'Angelo, Martin Olsen |
| 2025 | Arbitrary Reading Order Scene Text Spotter with Local Semantics Guidance. Jiahao Lyu, Wei Wang, Dongbao Yang, Jinwen Zhong, Yu Zhou |
| 2025 | Architecture-Aware Learning Curve Extrapolation via Graph Ordinary Differential Equation. Yanna Ding, Zijie Huang, Xiao Shou, Yihang Guo, Yizhou Sun, Jianxi Gao |
| 2025 | Are Expressive Models Truly Necessary for Offline RL? Guan Wang, Haoyi Niu, Jianxiong Li, Li Jiang, Jianming Hu, Xianyuan Zhan |
| 2025 | Are Key-Phrases All That Reviewers Care About? A Comprehensive Benchmarking of Reviewer Matchmaking Systems. Sourish Dasgupta, Harsh Sharma, Devansh Patel, Prarthee Desai, Anil K. Roy |
| 2025 | Argumentative Large Language Models for Explainable and Contestable Claim Verification. Gabriel Freedman, Adam Dejl, Deniz Gorur, Xiang Yin, Antonio Rago, Francesca Toni |
| 2025 | Artificial Intelligence for Future Presidents: Teaching AI Literacy to Everyone. Kate Candon, Nicholas C. Georgiou, Rebecca Ramnauth, Jessie Cheung, E. Chandra Fincke, Brian Scassellati |
| 2025 | As Pseudo-Label Free as Possible: Leveraging Adaptive Feature Generation for Sparsely Annotated Object Detection. Shuilian Yao, Yu Liu, Qi Jia, Sihong Chen, Wei Zhuo |
| 2025 | Aspect Enhancement and Text Simplification in Multimodal Aspect-Based Sentiment Analysis for Multi-Aspect and Multi-Sentiment Scenarios. Linlin Zhu, Heli Sun, Qunshu Gao, Yuze Liu, Liang He |
| 2025 | Assessing Modality Bias in Video Question Answering Benchmarks with Multimodal Large Language Models. Jean Park, Kuk Jin Jang, Basam Alasaly, Sriharsha Mopidevi, Andrew Zolensky, Eric Eaton, Insup Lee, Kevin B. Johnson |
| 2025 | Assessing Pre-Trained Models for Transfer Learning Through Distribution of Spectral Components. Tengxue Zhang, Yang Shu, Xinyang Chen, Yifei Long, Chenjuan Guo, Bin Yang |
| 2025 | Assessing Vulnerabilities in State-of-the-Art Large Language Models Through Hex Injection (Student Abstract). Da Cheng Gu, Wei Liu |
| 2025 | Assessing the Creativity of LLMs in Proposing Novel Solutions to Mathematical Problems. Junyi Ye, Jingyi Gu, Xinyun Zhao, Wenpeng Yin, Grace Guiling Wang |
| 2025 | Assessing the Impact of Population Data Domain Differences on Transfer Learning in P300-based Brain-Computer Interfaces (Student Abstract). Rally Lin, Christina Mo, Reyan Shariff, Darrick Zhang, Abdullah Alumar, Kaleb Kassaw, Leslie M. Collins, Boyla O. Mainsah |
| 2025 | Association Pattern-enhanced Molecular Representation Learning. Lingxiang Jia, Yuchen Ying, Tian Qiu, Shaolun Yao, Liang Xue, Jie Lei, Jie Song, Mingli Song, Zunlei Feng |
| 2025 | Asymmetric Cross-Modal Hashing Based on Formal Concept Analysis. Yinan Li, Jun Long, Zhan Yang |
| 2025 | Asymmetric Hierarchical Difference-aware Interaction Network for Event-guided Motion Deblurring. Wen Yang, Jinjian Wu, Leida Li, Weisheng Dong, Guangming Shi |
| 2025 | Asymmetric Learning for Spectral Graph Neural Networks. Fangbing Liu, Qing Wang |
| 2025 | Asymmetric Reinforcing Against Multi-Modal Representation Bias. Xiyuan Gao, Bing Cao, Pengfei Zhu, Nannan Wang, Qinghua Hu |
| 2025 | Asymmetric Visual Semantic Embedding Framework for Efficient Vision-Language Alignment. Yang Liu, Mengyuan Liu, Shudong Huang, Jiancheng Lv |
| 2025 | Asymptotic Extinction in Large Coordination Games. Desmond Chan, Bart de Keijzer, Tobias Galla, Stefanos Leonardos, Carmine Ventre |
| 2025 | Asymptotic Unbiased Sample Sampling to Speed Up Sharpness-Aware Minimization. Jiaxin Deng, Junbiao Pang, Baochang Zhang, Guodong Guo |
| 2025 | AsyncDSB: Schedule-Asynchronous Diffusion Schrödinger Bridge for Image Inpainting. Zihao Han, Baoquan Zhang, Lisai Zhang, Shanshan Feng, Kenghong Lin, Guotao Liang, Yunming Ye, Joeq, Kola Ye |
| 2025 | Asynchronous Distributed Gaussian Process Regression. Zewen Yang, Xiaobing Dai, Sandra Hirche |
| 2025 | Asynchronous Federated Clustering with Unknown Number of Clusters. Yunfan Zhang, Yiqun Zhang, Yang Lu, Mengke Li, Xi Chen, Yiu-ming Cheung |
| 2025 | AtomNet: Designing Tiny Models from Operators Under Extreme MCU Constraints. Zhiwei Dong, Mingzhu Shen, Shihao Bai, Xiuying Wei, Jinyang Guo, Ruihao Gong, Song-Lu Chen, Xianglong Liu, Xu-Cheng Yin |
| 2025 | Attack on Prompt: Backdoor Attack in Prompt-Based Continual Learning. Trang Nguyen, Anh Tran, Nhat Ho |
| 2025 | Attack-in-the-Chain: Bootstrapping Large Language Models for Attacks Against Black-Box Neural Ranking Models. Yu-An Liu, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Yixing Fan, Xueqi Cheng |
| 2025 | Attack-inspired Calibration Loss for Calibrating Crack Recognition. Zhuangzhuang Chen, Qiangyu Chen, Jiahao Zhang, Zhiliang Lin, Xingyu Feng, Jie Chen, Jianqiang Li |
| 2025 | AttackBench: Evaluating Gradient-based Attacks for Adversarial Examples. Antonio Emanuele Cinà, Jérôme Rony, Maura Pintor, Luca Demetrio, Ambra Demontis, Battista Biggio, Ismail Ben Ayed, Fabio Roli |
| 2025 | Attend and Enrich: Enhanced Visual Prompt for Zero-Shot Learning. Man Liu, Huihui Bai, Feng Li, Chunjie Zhang, Yunchao Wei, Tat-Seng Chua, Yao Zhao |
| 2025 | Attention Bootstrapping for Multi-Modal Test-Time Adaptation. Yusheng Zhao, Junyu Luo, Xiao Luo, Jinsheng Huang, Jingyang Yuan, Zhiping Xiao, Ming Zhang |
| 2025 | Attention-Driven GUI Grounding: Leveraging Pretrained Multimodal Large Language Models Without Fine-Tuning. Hai-Ming Xu, Qi Chen, Lei Wang, Lingqiao Liu |
| 2025 | Attention-Imperceptible Backdoor Attacks on Vision Transformers. Zhishen Wang, Rui Wang, Lihua Jing |
| 2025 | Attentive Eraser: Unleashing Diffusion Model's Object Removal Potential via Self-Attention Redirection Guidance. Wenhao Sun, Xue-Mei Dong, Benlei Cui, Jingqun Tang |
| 2025 | Attribute Inference Attacks for Federated Regression Tasks. Francesco Diana, Othmane Marfoq, Chuan Xu, Giovanni Neglia, Frédéric Giroire, Eoin Thomas |
| 2025 | Attribution Analysis Meets Model Editing: Advancing Knowledge Correction in Vision Language Models with VisEdit. Qizhou Chen, Taolin Zhang, Chengyu Wang, Xiaofeng He, Dakan Wang, Tingting Liu |
| 2025 | Attributive Reasoning for Hallucination Diagnosis of Large Language Models. Yuyan Chen, Zehao Li, Shuangjie You, Zhengyu Chen, Jingwen Chang, Yi Zhang, Weinan Dai, Qingpei Guo, Yanghua Xiao |
| 2025 | Audience Engagement with Political Messaging on YouTube Shorts (Student Abstract). Omkar Narkar, Aman Vohra, Ashiqur R. KhudaBukhsh |
| 2025 | Audio Entailment: Assessing Deductive Reasoning for Audio Understanding. Soham Deshmukh, Shuo Han, Hazim T. Bukhari, Benjamin Elizalde, Hannes Gamper, Rita Singh, Bhiksha Raj |
| 2025 | Audio-Visual Adaptive Fusion Network for Question Answering Based on Contrastive Learning. Xujian Zhao, Yixin Wang, Peiquan Jin |
| 2025 | AudioGenX: Explainability on Text-to-Audio Generative Models. Hyunju Kang, Geonhee Han, Yoonjae Jeong, Hogun Park |
| 2025 | Auditing and Enforcing Conditional Fairness via Optimal Transport. Mohsen Ghassemi, Alan Mishler, Niccolò Dalmasso, Luhao Zhang, Vamsi K. Potluru, Tucker Balch, Manuela Veloso |
| 2025 | AugRefer: Advancing 3D Visual Grounding via Cross-Modal Augmentation and Spatial Relation-based Referring. Xinyi Wang, Na Zhao, Zhiyuan Han, Dan Guo, Xun Yang |
| 2025 | Augmented Lagrangian Risk-constrained Reinforcement Learning for Portfolio Optimization (Student Abstract). Bayaraa Enkhsaikhan, Ohyun Jo |
| 2025 | Augmenting Math Word Problems via Iterative Question Composing. Haoxiong Liu, Yifan Zhang, Yifan Luo, Andrew C. Yao |
| 2025 | Augmenting Online Algorithms for Knapsack Problem with Total Weight Information. Binghan Wu, Wei Bao, Bing Bing Zhou |
| 2025 | Augmenting Sequential Recommendation with Balanced Relevance and Diversity. Yizhou Dang, Jiahui Zhang, Yuting Liu, Enneng Yang, Yuliang Liang, Guibing Guo, Jianzhe Zhao, Xingwei Wang |
| 2025 | Auto Encoding Neural Process for Multi-interest Recommendation. Yiheng Jiang, Yuanbo Xu, Yongjian Yang, Funing Yang, Pengyang Wang, Chaozhuo Li |
| 2025 | Auto-Regressive Diffusion for Generating 3D Human-Object Interactions. Zichen Geng, Zeeshan Hayder, Wei Liu, Ajmal Saeed Mian |
| 2025 | Auto-Regressive Moving Diffusion Models for Time Series Forecasting. Jiaxin Gao, Qinglong Cao, Yuntian Chen |
| 2025 | AutoFEA: Enhancing AI Copilot by Integrating Finite Element Analysis Using Large Language Models with Graph Neural Networks. Shifu Hou, Rick Johnson, Ramandeep Makhija, Lingwei Chen, Yanfang Ye |
| 2025 | AutoMMLab: Automatically Generating Deployable Models from Language Instructions for Computer Vision Tasks. Zekang Yang, Wang Zeng, Sheng Jin, Chen Qian, Ping Luo, Wentao Liu |
| 2025 | AutoMV: An Autonomous Agent Framework for Real Estate Marketing Video Generation. Kuizong Wu, Shaozu Yuan, Chang Shen, Long Xu, Meng Chen |
| 2025 | AutoSGNN: Automatic Propagation Mechanism Discovery for Spectral Graph Neural Networks. Shibing Mo, Kai Wu, Qixuan Gao, Xiangyi Teng, Jing Liu |
| 2025 | AutoSciLab: A Self-Driving Laboratory for Interpretable Scientific Discovery. Saaketh Desai, Sadhvikas Addamane, Jeffrey Y. Tsao, Igal Brener, Laura P. Swiler, Rémi Dingreville, Prasad P. Iyer |
| 2025 | Automated Assessment of Student Self-Explanation in Code Comprehension Using Pre-Trained Language Models. Jeevan Chapagain, Vasile Rus |
| 2025 | Automated Creation of Reusable and Diverse Toolsets for Enhancing LLM Reasoning. Zhiyuan Ma, Zhenya Huang, Jiayu Liu, Minmao Wang, Hongke Zhao, Xin Li |
| 2025 | Automated, Interpretable, and Scalable Scientific Machine Learning. Wuyang Chen |
| 2025 | Automatic Selection of Macro-Events for Heuristic-Search Temporal Planning. Alessandro La Farciola, Alessandro Valentini, Andrea Micheli |
| 2025 | Automatic Summarization of Long Documents (Student Abstract). Naman Chhibbar, Jugal Kalita |
| 2025 | Automatically Generating Numerous Context-Driven SFT Data for LLMs Across Diverse Granularity. Shanghaoran Quan |
| 2025 | Automating Thought of Search: A Journey Towards Soundness and Completeness (Student Abstract). Daniel Cao, Michael Katz, Harsha Kokel, Kavitha Srinivas, Shirin Sohrabi |
| 2025 | Automating the Expansion of Instrument Typicals in Piping and Instrumentation Diagrams (P&IDs). Vasil Shteriyanov, Rimma Dzhusupova, Jan Bosch, Helena Holmström Olsson |
| 2025 | Autonomous Goal Detection and Cessation in Reinforcement Learning: A Case Study on Source Term Estimation. Yiwei Shi, Muning Wen, Qi Zhang, Weinan Zhang, Cunjia Liu, Weiru Liu |
| 2025 | Autonomous LLM-Enhanced Adversarial Attack for Text-to-Motion. Honglei Miao, Fan Ma, Ruijie Quan, Kun Zhan, Yi Yang |
| 2025 | Autonomous Option Invention for Continual Hierarchical Reinforcement Learning and Planning. Rashmeet Kaur Nayyar, Siddharth Srivastava |
| 2025 | Autoregressive Sequence Modeling for 3D Medical Image Representation. Siwen Wang, Churan Wang, Fei Gao, Lixian Su, Fandong Zhang, Yizhou Wang, Yizhou Yu |
| 2025 | Axioms for AI Alignment from Human Feedback. Evi Micha |
| 2025 | A²RNet: Adversarial Attack Resilient Network for Robust Infrared and Visible Image Fusion. Jiawei Li, Hongwei Yu, Jiansheng Chen, Xinlong Ding, Jinlong Wang, Jinyuan Liu, Bochao Zou, Huimin Ma |
| 2025 | B2Opt: Learning to Optimize Black-box Optimization with Little Budget. Xiaobin Li, Kai Wu, Xiaoyu Zhang, Handing Wang |
| 2025 | BEE: Metric-Adapted Explanations via Baseline Exploration-Exploitation. Oren Barkan, Yehonatan Elisha, Jonathan Weill, Noam Koenigstein |
| 2025 | BERT-Based Code Learning for Exception Localization and Type Prediction. Chongyu Zhang, Qiping Tao, Liangyu Chen, Min Zhang |
| 2025 | BEV-TSR: Text-Scene Retrieval in BEV Space for Autonomous Driving. Tao Tang, Dafeng Wei, Zhengyu Jia, Tian Gao, Changwei Cai, Chengkai Hou, Peng Jia, Kun Zhan, Haiyang Sun, Jingchen Fan, Yixing Zhao, Xiaodan Liang, Xianpeng Lang, Yang Wang |
| 2025 | BEVSync: Asynchronous Data Alignment for Camera-based Vehicle-Infrastructure Cooperative Perception Under Uncertain Delays. Wentao Wang, Jiaqian Wang, Yuxin Deng, Guang Tan |
| 2025 | BGDB: Bernoulli-Gaussian Decision Block with Improved Denoising Diffusion Probabilistic Models. Chengkun Sun, Jinqian Pan, Russell Stevens Terry, Jiang Bian, Jie Xu |
| 2025 | BGHR: Bridging the Gap Between HBox-Supervised and RBox-Supervised Oriented Object Detection via Adaptive Fine-Grained Sample Mining. Chenlin Fu, Yingying Zhu |
| 2025 | BIG-FUSION: Brain-Inspired Global-Local Context Fusion Framework for Multimodal Emotion Recognition in Conversations. Yusong Wang, Xuanye Fang, Huifeng Yin, Dongyuan Li, Guoqi Li, Qi Xu, Yi Xu, Shuai Zhong, Mingkun Xu |
| 2025 | BLADE: Enhancing Black-Box Large Language Models with Small Domain-Specific Models. Haitao Li, Qingyao Ai, Jia Chen, Qian Dong, Zhijing Wu, Yiqun Liu |
| 2025 | BLS-GAN: A Deep Layer Separation Framework for Eliminating Bone Overlap in Conventional Radiographs. Haolin Wang, Yafei Ou, Prasoon Ambalathankandy, Gen Ota, Pengyu Dai, Masayuki Ikebe, Kenji Suzuki, Tamotsu Kamishima |
| 2025 | BOIDS: High-Dimensional Bayesian Optimization via Incumbent-Guided Direction Lines and Subspace Embeddings. Lam Ngo, Huong Ha, Jeffrey Chan, Hongyu Zhang |
| 2025 | BSAFusion: A Bidirectional Stepwise Feature Alignment Network for Unaligned Medical Image Fusion. Huafeng Li, Dayong Su, Qing Cai, Yafei Zhang |
| 2025 | BSDB-Net: Band-Split Dual-Branch Network with Selective State Spaces Mechanism for Monaural Speech Enhancement. Cunhang Fan, Enrui Liu, Andong Li, Jianhua Tao, Jian Zhou, Jiahao Li, Chengshi Zheng, Zhao Lv |
| 2025 | BUFF: Bayesian Uncertainty Guided Diffusion Probabilistic Model for Single Image Super-Resolution. Zihao He, Shengchuan Zhang, Runze Hu, Yunhang Shen, Yan Zhang |
| 2025 | Back to the Future of Integrated Robot Systems. Mohan Sridharan |
| 2025 | Backdoor Attack on Propagation-based Rumor Detectors. Di Jin, Yujun Zhang, Bingdao Feng, Xiaobao Wang, Dongxiao He, Zhen Wang |
| 2025 | Backdoor Attacks Against No-Reference Image Quality Assessment Models via a Scalable Trigger. Yi Yu, Song Xia, Xun Lin, Wenhan Yang, Shijian Lu, Yap-Peng Tan, Alex C. Kot |
| 2025 | Backdoor Token Unlearning: Exposing and Defending Backdoors in Pretrained Language Models. Peihai Jiang, Xixiang Lyu, Yige Li, Jing Ma |
| 2025 | Bad AI, Good AI: Rethinking the Agency of Our Artificial Teammates. Reuth Mirsky |
| 2025 | Bagging-Expert Network for Multi-Task Learning: A Depolarization Solution in Multi-Gate Mixture-of-Experts. Gong-Duo Zhang, Ruiqing Chen, Qian Zhao, Zhengwei Wu, Fengyu Han, Huan-Yi Su, Ziqi Liu, Lihong Gu, Lin Zhou |
| 2025 | Balanced Adaptive Subspace Collaboration for Mixed Pareto-Lexicographic Multi-Objective Problems with Priority Levels. Wenjing Hong |
| 2025 | Balanced and Fair Partitioning of Friends. Argyrios Deligkas, Eduard Eiben, Stavros D. Ioannidis, Dusan Knop, Simon Schierreich |
| 2025 | Balancing Privacy and Performance: A Many-in-One Approach for Image Anonymization. Xuemei Jia, Jiawei Du, Hui Wei, Ruinian Xue, Zheng Wang, Hongyuan Zhu, Jun Chen |
| 2025 | Batch Ensemble for Variance Dependent Regret in Stochastic Bandits. Asaf B. Cassel, Orin Levy, Yishay Mansour |
| 2025 | Batch Selection for Multi-Label Classification Guided by Uncertainty and Dynamic Label Correlations. Ao Zhou, Bin Liu, Jin Wang, Grigorios Tsoumakas |
| 2025 | Battling the Non-stationarity in Time Series Forecasting via Test-time Adaptation. HyunGi Kim, Siwon Kim, Jisoo Mok, Sungroh Yoon |
| 2025 | BayesCNS: A Unified Bayesian Approach to Address Cold Start and Non-Stationarity in Search Systems at Scale. Randy Ardywibowo, Rakesh Sunki, Shin Tsz Lucy Kuo, Sankalp Nayak |
| 2025 | Bayesian Low-Rank Learning (Bella): A Practical Approach to Bayesian Neural Networks. Bao Gia Doan, Afshar Shamsi, Xiao-Yu Guo, Arash Mohammadi, Hamid Alinejad-Rokny, Dino Sejdinovic, Damien Teney, Damith C. Ranasinghe, Ehsan Abbasnejad |
| 2025 | Bayesian Optimization for Unknown Cost-Varying Variable Subsets with No-Regret Costs. Vu Viet Hoang, Quoc Anh Hoang Nguyen, Hung Tran The |
| 2025 | Bayesian Persuasion with Externalities: Exploiting Agent Types. Jonathan Shaki, Jiarui Gan, Sarit Kraus |
| 2025 | BeFA: A General Behavior-driven Feature Adapter for Multimedia Recommendation. Qile Fan, Penghang Yu, Zhiyi Tan, Bing-Kun Bao, Guanming Lu |
| 2025 | BearLLM: A Prior Knowledge-Enhanced Bearing Health Management Framework with Unified Vibration Signal Representation. Haotian Peng, Jiawei Liu, Jinsong Du, Jie Gao, Wei Wang |
| 2025 | Behavior Importance-Aware Graph Neural Architecture Search for Cross-Domain Recommendation. Chendi Ge, Xin Wang, Ziwei Zhang, Yijian Qin, Hong Chen, Haiyang Wu, Yang Zhang, Yuekui Yang, Wenwu Zhu |
| 2025 | Behaviour Preference Regression for Offline Reinforcement Learning. Padmanaba Srinivasan, William Knottenbelt |
| 2025 | Benchmarking and Understanding Compositional Relational Reasoning of LLMs. Ruikang Ni, Da Xiao, Qingye Meng, Xiangyu Li, Shihui Zheng, Hongliang Liang |
| 2025 | Better Understandings and Configurations in MaxSAT Stochastic Local Search Solvers via Anytime Performance Analysis. Furong Ye, Chuan Luo, Shaowei Cai |
| 2025 | Beyond Accuracy: On the Effects of Fine-Tuning Towards Vision-Language Model's Prediction Rationality. Qitong Wang, Tang Li, Kien X. Nguyen, Xi Peng |
| 2025 | Beyond Federated Prototype Learning: Learnable Semantic Anchors with Hyperspherical Contrast for Domain-Skewed Data. Lele Fu, Sheng Huang, Yanyi Lai, Tianchi Liao, Chuanfu Zhang, Chuan Chen |
| 2025 | Beyond Graph Convolution: Multimodal Recommendation with Topology-aware MLPs. Junjie Huang, Jiarui Qin, Yong Yu, Weinan Zhang |
| 2025 | Beyond Homophily: Graph Contrastive Learning with Macro-Micro Message Passing. Yiyuan Chen, Donghai Guan, Weiwei Yuan, Tianzi Zang |
| 2025 | Beyond Human Data: Aligning Multimodal Large Language Models by Iterative Self-Evolution. Wentao Tan, Qiong Cao, Yibing Zhan, Chao Xue, Changxing Ding |
| 2025 | Beyond IID: Optimizing Instruction Finetuning from the Perspective of Instruction Interaction and Dependency. Hanyu Zhao, Li Du, Yiming Ju, Chengwei Wu, Tengfei Pan |
| 2025 | Beyond Mandatory Federations: Balancing Egoism, Utilitarianism and Egalitarianism in Mixed-Motive Games. Shaokang Dong, Chao Li, Shangdong Yang, Hongye Cao, Wanqi Yang, Yang Gao |
| 2025 | Beyond Monotonicity: On the Convergence of Learning Algorithms in Standard Auction Games. Martin Bichler, Stephan B. Lunowa, Matthias Oberlechner, Fabian R. Pieroth, Barbara I. Wohlmuth |
| 2025 | Beyond Pixel and Object: Part Feature as Reference for Few-Shot Video Object Segmentation. Naisong Luo, Guoxin Xiong, Tianzhu Zhang |
| 2025 | Beyond Prompt Engineering: A Reinforced Token-Level Input Refinement for Large Language Models. Guang Huang, Yanan Xiao, Lu Jiang, Minghao Yin, Pengyang Wang |
| 2025 | Beyond Single Emotion: Multi-label Approach to Conversational Emotion Recognition. Yujin Kang, Yoon-Sik Cho |
| 2025 | Beyond Skip Connection: Pooling and Unpooling Design for Elimination Singularities. Chengkun Sun, Jinqian Pan, Zhuoli Jin, Russell Stevens Terry, Jiang Bian, Jie Xu |
| 2025 | Beyond Spatial Domain: Cross-domain Promoted Fourier Convolution Helps Single Image Dehazing. Xiaozhe Zhang, Haidong Ding, Fengying Xie, Linpeng Pan, Yue Zi, Ke Wang, Haopeng Zhang |
| 2025 | Beyond Text: Fine-Grained Multi-Modal Fact Verification with Hypergraph Transformers. Hui Pang, Chaozhuo Li, Litian Zhang, Senzhang Wang, Xi Zhang |
| 2025 | Beyond Virtual Points: Depth-Enhanced LiDAR-only 3D Object Detection with Semi-Supervised Learning (Student Abstract). Jisu Kang, Wooseok Shin, Jin Sob Kim, Hyun Joon Park, Yujin Ham, Sung Won Han |
| 2025 | BeyondGender: A Multifaceted Bilingual Dataset for Practical Sexism Detection. Xuan Luo, Li Yang, Han Zhang, Geng Tu, Qianlong Wang, Keyang Ding, Chuang Fan, Jing Li, Ruifeng Xu |
| 2025 | Bi-Directional Multi-Scale Graph Dataset Condensation via Information Bottleneck. Xingcheng Fu, Yisen Gao, Beining Yang, Yuxuan Wu, Haodong Qian, Qingyun Sun, Xianxian Li |
| 2025 | Bi-Level Optimization for Semi-Supervised Learning with Pseudo-Labeling. Marzi Heidari, Yuhong Guo |
| 2025 | Bi-level Contrastive Learning for Knowledge-Enhanced Molecule Representations. Pengcheng Jiang, Cao Xiao, Tianfan Fu, Parminder Bhatia, Taha A. Kass-Hout, Jimeng Sun, Jiawei Han |
| 2025 | BiDeV: Bilateral Defusing Verification for Complex Claim Fact-Checking. Yuxuan Liu, Hongda Sun, Wenya Guo, Xinyan Xiao, Cunli Mao, Zhengtao Yu, Rui Yan |
| 2025 | BiMAC: Bidirectional Multimodal Alignment in Contrastive Learning. Masoumeh Zareapoor, Pourya Shamsolmoali, Yue Lu |
| 2025 | Bias Unveiled: Investigating Social Bias in LLM-Generated Code. Lin Ling, Fazle Rabbi, Song Wang, Jinqiu Yang |
| 2025 | Biased Incomplete Multi-View Learning. Haishun Chen, Cai Xu, Ziyu Guan, Wei Zhao, Jinlong Liu |
| 2025 | Bidirectional Human-AI Learning in Real-Time Disoriented Balancing. Sheikh Mannan, Nikhil Krishnaswamy |
| 2025 | Bidirectional Logits Tree: Pursuing Granularity Reconcilement in Fine-Grained Classification. Zhiguang Lu, Qianqian Xu, Shilong Bao, Zhiyong Yang, Qingming Huang |
| 2025 | BigMac: A Communication-Efficient Mixture-of-Experts Model Structure for Fast Training and Inference. Zewen Jin, Shengnan Wang, Jiaan Zhu, Hongrui Zhan, Youhui Bai, Lin Zhang, Zhenyu Ming, Cheng Li |
| 2025 | BindGPT: A Scalable Framework for 3D Molecular Design via Language Modeling and Reinforcement Learning. Artem Zholus, Maksim Kuznetsov, Roman Schutski, Rim Shayakhmetov, Daniil Polykovskiy, Sarath Chandar, Alex Zhavoronkov |
| 2025 | Bites of Tomorrow: Personalized Recommendations for a Healthier and Greener Plate. Jiazheng Jing, Yinan Zhang, Chunyan Miao |
| 2025 | Black-Box Optimization with Implicit Constraints for Public Policy. Wenqian Xing, Jungho Lee, Chong Liu, Shixiang Zhu |
| 2025 | Black-Box Test-Time Prompt Tuning for Vision-Language Models. Fan'an Meng, Chaoran Cui, Hongjun Dai, Shuai Gong |
| 2025 | Blend the Separated: Mixture of Synergistic Experts for Data-Scarcity Drug-Target Interaction Prediction. Xinlong Zhai, Chunchen Wang, Ruijia Wang, Jiazheng Kang, Shujie Li, Boyu Chen, Tengfei Ma, Zikai Zhou, Cheng Yang, Chuan Shi |
| 2025 | Block-Based Multi-Scale Image Rescaling. Jian Li, Siwang Zhou |
| 2025 | BloomScene: Lightweight Structured 3D Gaussian Splatting for Crossmodal Scene Generation. Xiaolu Hou, Mingcheng Li, Dingkang Yang, Jiawei Chen, Ziyun Qian, Xiao Zhao, Yue Jiang, Jinjie Wei, Qingyao Xu, Lihua Zhang |
| 2025 | BoolXAI: Explainable AI Using Expressive Boolean Formulas. Serdar Kadioglu, Elton Yechao Zhu, Gili Rosenberg, John Kyle Brubaker, Martin J. A. Schuetz, Grant Salton, Zhihuai Zhu, Helmut G. Katzgraber |
| 2025 | Boosting Causal Structure Learning: An Asymmetric Exponential Modulation Gaussian-Based Adaptive Sample Reweighting Framework. Wei Xiao, Hongbin Wang, Ming He, Nianbin Wang |
| 2025 | Boosting Consistency in Story Visualization with Rich-Contextual Conditional Diffusion Models. Fei Shen, Hu Ye, Sibo Liu, Jun Zhang, Cong Wang, Xiao Han, Yang Wei |
| 2025 | Boosting Fine-Grained Visual Anomaly Detection with Coarse-Knowledge-Aware Adversarial Learning. Qingqing Fang, Qinliang Su, Wenxi Lv, Wenchao Xu, Jianxing Yu |
| 2025 | Boosting Image De-Raining via Central-Surrounding Synergistic Convolution. Long Peng, Yang Wang, Xin Di, Peizhe Xia, Xueyang Fu, Yang Cao, Zheng-Jun Zha |
| 2025 | Boosting Multimodal Large Language Models with Visual Tokens Withdrawal for Rapid Inference. Zhihang Lin, Mingbao Lin, Luxi Lin, Rongrong Ji |
| 2025 | Boosting Segment Anything Model Towards Open-Vocabulary Learning. Xumeng Han, Longhui Wei, Xuehui Yu, Zhiyang Dou, Xin He, Kuiran Wang, Yingfei Sun, Zhenjun Han, Qi Tian |
| 2025 | Boosting Short Text Classification with Multi-Source Information Exploration and Dual-Level Contrastive Learning. Yonghao Liu, Mengyu Li, Wei Pang, Fausto Giunchiglia, Lan Huang, Xiaoyue Feng, Renchu Guan |
| 2025 | Boosting Test Performance with Importance Sampling-a Subpopulation Perspective. Hongyu Shen, Zhizhen Zhao |
| 2025 | Boosting ViT-based MRI Reconstruction from the Perspectives of Frequency Modulation, Spatial Purification, and Scale Diversification. Yucong Meng, Zhiwei Yang, Yonghong Shi, Zhijian Song |
| 2025 | Boosting Vision State Space Model with Fractal Scanning. Haoke Xiao, Lv Tang, Peng-Tao Jiang, Hao Zhang, Jinwei Chen, Bo Li |
| 2025 | Bootstraping Clustering of Gaussians for View-consistent 3D Scene Understanding. Wenbo Zhang, Lu Zhang, Ping Hu, Liqian Ma, Yunzhi Zhuge, Huchuan Lu |
| 2025 | Bootstrapped Reward Shaping. Jacob Adamczyk, Volodymyr Makarenko, Stas Tiomkin, Rahul V. Kulkarni |
| 2025 | Bootstrapping Heterogeneous Graph Representation Learning via Large Language Models: A Generalized Approach. Hang Gao, Chenhao Zhang, Fengge Wu, Changwen Zheng, Junsuo Zhao, Huaping Liu |
| 2025 | BotSim: LLM-Powered Malicious Social Botnet Simulation. Boyu Qiao, Kun Li, Wei Zhou, Shilong Li, Qianqian Lu, Songlin Hu |
| 2025 | Both Supply and Precision: Sample Debias and Ranking Consistency Joint Learning for Large Scale Pre-Ranking System. Feng Gao, Xin Zhou, Yinning Shao, Yue Wu, Jiahua Gao, Yujian Ren, Fengyang Qi, Ruochen Deng, Jie Liu |
| 2025 | Boundary Decomposition for Finding Nadir Objective Vector in Multi-Objective Discrete Optimization. Ruihao Zheng, Zhenkun Wang |
| 2025 | Boundary-Aware Temporal Dynamic Pseudo-Supervision Pairs Generation for Zero-Shot Natural Language Video Localization. Xiongwen Deng, Haoyu Tang, Han Jiang, Qinghai Zheng, Jihua Zhu |
| 2025 | Bounded Rationality Equilibrium Learning in Mean Field Games. Yannick Eich, Christian Fabian, Kai Cui, Heinz Koeppl |
| 2025 | Braess's Paradox of Generative AI. Boaz Taitler, Omer Ben-Porat |
| 2025 | BrainGuard: Privacy-Preserving Multisubject Image Reconstructions from Brain Activities. Zhibo Tian, Ruijie Quan, Fan Ma, Kun Zhan, Yi Yang |
| 2025 | BrainMAP: Learning Multiple Activation Pathways in Brain Networks. Song Wang, Zhenyu Lei, Zhen Tan, Jiaqi Ding, Xinyu Zhao, Yushun Dong, Guorong Wu, Tianlong Chen, Chen Chen, Aiying Zhang, Jundong Li |
| 2025 | Breaking Barriers in Physical-World Adversarial Examples: Improving Robustness and Transferability via Robust Feature. Yichen Wang, Yuxuan Chou, Ziqi Zhou, Hangtao Zhang, Wei Wan, Shengshan Hu, Minghui Li |
| 2025 | Breaking Barriers: A Paradigm Shift in Technology Accessibility for Individuals with Physical Disabilities. Kshitij Mishra, Manisha Burja, Asif Ekbal |
| 2025 | Breaking Data Silos in Parkinson's Disease Diagnosis: An Adaptive Federated Learning Approach for Privacy-Preserving Facial Expression Analysis. Meng Pang, Houwei Xu, Zheng Huang, Yintao Zhou, Wei Huang, Binghui Wang |
| 2025 | Breaking Information Isolation: Accelerating MRI via Inter-sequence Mapping and Progressive Masking. Jianwei Zheng, Xiaomin Yao, Guojiang Shen, Wei Li, Jiawei Jiang |
| 2025 | Breaking Symmetries in Quantified Graph Search: A Comparative Study. Mikolás Janota, Markus Kirchweger, Tomás Peitl, Stefan Szeider |
| 2025 | Breaking the Resource Monopoly from Industries: Sustainable and Reliable LLM Serving by Recycling Outdated and Resource-Constrained GPUs. Tianlong Chen |
| 2025 | Bridge 2D-3D: Uncertainty-aware Hierarchical Registration Network with Domain Alignment. Zhixin Cheng, Jiacheng Deng, Xinjun Li, Baoqun Yin, Tianzhu Zhang |
| 2025 | Bridge Diffusion Model: Bridge Chinese Text-to-Image Diffusion Model with English Communities. Shanyuan Liu, Bo Cheng, Yuhang Ma, Liebucha Wu, Ao Ma, Xiaoyu Wu, Dawei Leng, Yuhui Yin |
| 2025 | Bridge Then Begin Anew: Generating Target-Relevant Intermediate Model for Source-Free Visual Emotion Adaptation. Jiankun Zhu, Sicheng Zhao, Jing Jiang, Wenbo Tang, Zhaopan Xu, Tingting Han, Pengfei Xu, Hongxun Yao |
| 2025 | Bridging Knowledge Gap Between Image Inpainting and Large-Area Visible Watermark Removal. Yicheng Leng, Chaowei Fang, Junye Chen, Yixiang Fang, Sheng Li, Guanbin Li |
| 2025 | Bridging Molecular Graphs and Large Language Models. Runze Wang, Mingqi Yang, Yanming Shen |
| 2025 | Bridging Sequence-Structure Alignment in RNA Foundation Models. Heng Yang, Renzhi Chen, Ke Li |
| 2025 | Bridging Traffic State and Trajectory for Dynamic Road Network and Trajectory Representation Learning. Chengkai Han, Jingyuan Wang, Yongyao Wang, Xie Yu, Hao Lin, Chao Li, Junjie Wu |
| 2025 | Bridging Training and Execution via Dynamic Directed Graph-Based Communication in Cooperative Multi-Agent Systems. Zhuohui Zhang, Bin He, Bin Cheng, Gang Li |
| 2025 | Bridging the AI Gap: Evaluating the Impact of an AI Education Program for Caregivers on Parental Leave. Kristina L. Kupferschmidt, Flora Wan, Juan Carrasquilla Alvarez, Dora Gaviria Castaño, Graham W. Taylor, Sedef Akinli Koçak |
| 2025 | Bridging the Gap Between Hyperdimensional Computing and Kernel Methods via the Nyström Method. Quanling Zhao, Anthony Hitchcock Thomas, Ari Brin, Xiaofan Yu, Tajana Rosing |
| 2025 | Bridging the Gap for Test-Time Multimodal Sentiment Analysis. Zirun Guo, Tao Jin, Wenlong Xu, Wang Lin, Yangyang Wu |
| 2025 | Bridging the Gap: Enhancing LLM Performance for Low-Resource African Languages with New Benchmarks, Fine-Tuning, and Cultural Adjustments. Tuka Alhanai, Adam Kasumovic, Mohammad M. Ghassemi, Aven Zitzelberger, Jessica M. Lundin, Guillaume Chabot-Couture |
| 2025 | Bridging the Knowledge Gap: Understanding User Expectations for Trustworthy LLM Standards. Michaela Benk, Léane Wettstein, Nadine Schlicker, Florian von Wangenheim, Nicolas Scharowski |
| 2025 | Bridging the Semantic Granularity Gap Between Text and Frame Representations for Partially Relevant Video Retrieval. Woojin Jun, WonJun Moon, Cheol-Ho Cho, Minseok Jung, Jae-Pil Heo |
| 2025 | Bridging the User-side Knowledge Gap in Knowledge-aware Recommendations with Large Language Models. Zheng Hu, Zhe Li, Ziyun Jiao, Satoshi Nakagawa, Jiawen Deng, Shimin Cai, Tao Zhou, Fuji Ren |
| 2025 | Bright-NeRF: Brightening Neural Radiance Field with Color Restoration from Low-Light RAW Images. Min Wang, Xin Huang, Guoqing Zhou, Qifeng Guo, Qing Wang |
| 2025 | Building a Multi-modal Spatiotemporal Expert for Zero-shot Action Recognition with CLIP. Yating Yu, Congqi Cao, Yueran Zhang, Qinyi Lv, Lingtong Min, Yanning Zhang |
| 2025 | C2F-TP: A Coarse-to-Fine Denoising Framework for Uncertainty-Aware Trajectory Prediction. Zichen Wang, Hao Miao, Senzhang Wang, Renzhi Wang, Jianxin Wang, Jian Zhang |
| 2025 | C2P-CLIP: Injecting Category Common Prompt in CLIP to Enhance Generalization in Deepfake Detection. Chuangchuang Tan, Renshuai Tao, Huan Liu, Guanghua Gu, Baoyuan Wu, Yao Zhao, Yunchao Wei |
| 2025 | C2PD: Continuity-Constrained Pixelwise Deformation for Guided Depth Super-Resolution. Jiahui Kang, Qing Cai, Runqing Tan, Yimei Liu, Zhi Liu |
| 2025 | C3oT: Generating Shorter Chain-of-Thought Without Compromising Effectiveness. Yu Kang, Xianghui Sun, Liangyu Chen, Wei Zou |
| 2025 | CA-Edit: Causality-Aware Condition Adapter for High-Fidelity Local Facial Attribute Editing. Xiaole Xian, Xilin He, Zenghao Niu, Junliang Zhang, Weicheng Xie, Siyang Song, Zitong Yu, Linlin Shen |
| 2025 | CA-MLIF: Cross-Attention and Multimodal Low-Rank Interaction Fusion Framework for Tumor Prognostic Prediction. Yajun An, JiaLe Chen, Huan Lin, Zhenbing Liu, Siyang Feng, Hualong Zhang, Rushi Lan, Zaiyi Liu, Xipeng Pan |
| 2025 | CAD-GPT: Synthesising CAD Construction Sequence with Spatial Reasoning-Enhanced Multimodal LLMs. Siyu Wang, Cailian Chen, Xinyi Le, Qimin Xu, Lei Xu, Yanzhou Zhang, Jie Yang |
| 2025 | CAGE: Unsupervised Visual Composition and Animation for Controllable Video Generation. Aram Davtyan, Sepehr Sameni, Björn Ommer, Paolo Favaro |
| 2025 | CAKE: Category Aware Knowledge Extraction for Open-Vocabulary Object Detection. Shiyuan Ma, Donglin Qian, Kai Ye, Shengchuan Zhang |
| 2025 | CALF: Aligning LLMs for Time Series Forecasting via Cross-modal Fine-Tuning. Peiyuan Liu, Hang Guo, Tao Dai, Naiqi Li, Jigang Bao, Xudong Ren, Yong Jiang, Shu-Tao Xia |
| 2025 | CALLIC: Content Adaptive Learning for Lossless Image Compression. Daxin Li, Yuanchao Bai, Kai Wang, Junjun Jiang, Xianming Liu, Wen Gao |
| 2025 | CALM: Curiosity-Driven Auditing for Large Language Models. Xiang Zheng, Longxiang Wang, Yi Liu, Xingjun Ma, Chao Shen, Cong Wang |
| 2025 | CAMH: Advancing Model Hijacking Attack in Machine Learning. Xing He, Jiahao Chen, Yuwen Pu, Qingming Li, Chunyi Zhou, Yingcai Wu, Jinbao Li, Shouling Ji |
| 2025 | CAMSIC: Content-aware Masked Image Modeling Transformer for Stereo Image Compression. Xinjie Zhang, Shenyuan Gao, Zhening Liu, Jiawei Shao, Xingtong Ge, Dailan He, Tongda Xu, Yan Wang, Jun Zhang |
| 2025 | CAPrompt: Cyclic Prompt Aggregation for Pre-Trained Model Based Class Incremental Learning. Qiwei Li, Jiahuan Zhou |
| 2025 | CASUAL: Conditional Support Alignment for Domain Adaptation with Label Shift. Anh T. Nguyen, Lam Tran, Anh Tong, Tuan-Duy H. Nguyen, Toan Tran |
| 2025 | CDE-Learning: Camera Deviation Elimination Learning for Unsupervised Person Re-identification. Jinjia Peng, Songyu Zhang, Huibing Wang |
| 2025 | CDTR: Semantic Alignment for Video Moment Retrieval Using Concept Decomposition Transformer. Ran Ran, Jiwei Wei, Xiangyi Cai, Xiang Guan, Jie Zou, Yang Yang, Heng Tao Shen |
| 2025 | CDW-CoT: Clustered Distance-Weighted Chain-of-Thoughts Reasoning. Yuanheng Fang, Guoqing Chao, Wenqiang Lei, Shaobo Li, Dianhui Chu |
| 2025 | CFDM: Contrastive Fusion and Disambiguation for Multi-View Partial-Label Learning. Qiuru Hai, Yongjian Deng, Yuena Lin, Zheng Li, Zhen Yang, Gengyu Lyu |
| 2025 | CG-TGAN: Conditional Generative Adversarial Networks with Graph Neural Networks for Tabular Data Synthesizing. Seungcheol Lee, Moohong Min |
| 2025 | CITI: Enhancing Tool Utilizing Ability in Large Language Models Without Sacrificing General Performance. Yupu Hao, Pengfei Cao, Zhuoran Jin, Huanxuan Liao, Yubo Chen, Kang Liu, Jun Zhao |
| 2025 | CL-Attack: Textual Backdoor Attacks via Cross-Lingual Triggers. Jingyi Zheng, Tianyi Hu, Tianshuo Cong, Xinlei He |
| 2025 | CLEP: A Novel Contrastive Learning Method for Evolutionary Reentrancy Vulnerability Detection. Jie Chen, Liangmin Wang, Huijuan Zhu, Victor S. Sheng |
| 2025 | CLIMB-ReID: A Hybrid CLIP-Mamba Framework for Person Re-Identification. Chenyang Yu, Xuehu Liu, Jiawen Zhu, Yuhao Wang, Pingping Zhang, Huchuan Lu |
| 2025 | CLIP-CID: Efficient CLIP Distillation via Cluster-Instance Discrimination. Kaicheng Yang, Tiancheng Gu, Xiang An, Haiqiang Jiang, Xiangzi Dai, Ziyong Feng, Tom Weidong Cai, Jiankang Deng |
| 2025 | CLIP-MSM: A Multi-Semantic Mapping Brain Representation for Human High-Level Visual Cortex. Guoyuan Yang, Mufan Xue, Ziming Mao, Haofang Zheng, Jia Xu, Dabin Sheng, Ruotian Sun, Ruoqi Yang, Xuesong Li |
| 2025 | CLIP-PCQA: Exploring Subjective-Aligned Vision-Language Modeling for Point Cloud Quality Assessment. Yating Liu, Yujie Zhang, Ziyu Shan, Yiling Xu |
| 2025 | CLIP-RestoreX: Restore Image Structure and Perception in Exposure Correction. Xiang Huang, Qing Zhang, Jian-Fang Hu, Wei-Shi Zheng |
| 2025 | CLIP-driven View-aware Prompt Learning for Unsupervised Vehicle Re-identification. Jiyang Xu, Qi Wang, Xin Xiong, Di Gai, Ruihua Zhou, Dong Wang |
| 2025 | CLNX: Bridging Code and Natural Language for C/C++ Vulnerability-Contributing Commits Identification. Zeqing Qin, Yiwei Wu, Lansheng Han |
| 2025 | CMT: A Memory Compression Method for Continual Knowledge Learning of Large Language Models. Dongfang Li, Zetian Sun, Xinshuo Hu, Baotian Hu, Min Zhang |
| 2025 | CNC: Cross-modal Normality Constraint for Unsupervised Multi-class Anomaly Detection. Xiaolei Wang, Xiaoyang Wang, Huihui Bai, Eng Gee Lim, Jimin Xiao |
| 2025 | CODE: Confident Ordinary Differential Editing. Bastien Van Delft, Tommaso Martorella, Alexandre Alahi |
| 2025 | COLUMBUS: Evaluating COgnitive Lateral Understanding Through Multiple-Choice reBUSes. Koen Kraaijveld, Yifan Jiang, Kaixin Ma, Filip Ilievski |
| 2025 | COMM: Concentrated Margin Maximization for Robust Document-Level Relation Extraction. Zhichao Duan, Tengyu Pan, Zhenyu Li, Xiuxing Li, Jianyong Wang |
| 2025 | COMMIT: Certifying Robustness of Multi-Sensor Fusion Systems Against Semantic Attacks. Zijian Huang, Wenda Chu, Linyi Li, Chejian Xu, Bo Li |
| 2025 | COSEE: Consistency-Oriented Signal-Based Early Exiting via Calibrated Sample Weighting Mechanism. Jianing He, Qi Zhang, Hongyun Zhang, Xuanjing Huang, Usman Naseem, Duoqian Miao |
| 2025 | CP-DETR: Concept Prompt Guide DETR Toward Stronger Universal Object Detection. Qibo Chen, Weizhong Jin, Jianyue Ge, Mengdi Liu, Yuchao Yan, Jian Jiang, Li Yu, Xuanjiang Guo, Shuchang Li, Jianzhong Chen |
| 2025 | CP-Guard: Malicious Agent Detection and Defense in Collaborative Bird's Eye View Perception. Senkang Hu, Yihang Tao, Guowen Xu, Yiqin Deng, Xianhao Chen, Yuguang Fang, Sam Kwong |
| 2025 | CREST: An Efficient Conjointly-trained Spike-driven Framework for Event-based Object Detection Exploiting Spatiotemporal Dynamics. Ruixin Mao, Aoyu Shen, Lin Tang, Jun Zhou |
| 2025 | CROSSNEWS: A Cross-Genre Authorship Verification and Attribution Benchmark. Marcus Ma, Duong Minh Le, Junmo Kang, Yao Dou, John Cadigan, Dayne Freitag, Alan Ritter, Wei Xu |
| 2025 | CSL-L2M: Controllable Song-Level Lyric-to-Melody Generation Based on Conditional Transformer with Fine-Grained Lyric and Musical Controls. Li Chai, Donglin Wang |
| 2025 | CSR: Achieving 1 Bit Key-Value Cache via Sparse Representation. Hongxuan Zhang, Yao Zhao, Jiaqi Zheng, Chenyi Zhuang, Jinjie Gu, Guihai Chen |
| 2025 | CSSinger: End-to-End Chunkwise Streaming Singing Voice Synthesis System Based on Conditional Variational Autoencoder. Jianwei Cui, Yu Gu, Shihao Chen, Jie Zhang, Liping Chen, Lirong Dai |
| 2025 | CSformer: Combining Channel Independence and Mixing for Robust Multivariate Time Series Forecasting. Haoxin Wang, Yipeng Mo, Kunlan Xiang, Nan Yin, Honghe Dai, Bixiong Li, Songhai Fan, Site Mo |
| 2025 | CTD4 - a Deep Continuous Distributional Actor-Critic Agent with a Kalman Fusion of Multiple Critics. David Valencia, Henry Williams, Yuning Xing, Trevor Gee, Bruce A. MacDonald, Minas Liarokapis |
| 2025 | CUGF: A Reliable and Fair Recommendation Framework. Nitin Bisht, Xiuwen Gong, Guandong Xu |
| 2025 | CUPCase: Clinically Uncommon Patient Cases and Diagnoses Dataset. Oriel Perets, Ofir Ben Shoham, Nir Grinberg, Nadav Rappoport |
| 2025 | CUQDS: Conformal Uncertainty Quantification Under Distribution Shift for Trajectory Prediction. Huiqun Huang, Sihong He, Fei Miao |
| 2025 | CVE-LLM: Ontology-Assisted Automatic Vulnerability Evaluation Using Large Language Models. Rikhiya Ghosh, Hans-Martin von Stockhausen, Martin Schmitt, Vasile George Marica, Sanjeev Kumar Karn, Oladimeji Farri |
| 2025 | CVLUE: A New Benchmark Dataset for Chinese Vision-Language Understanding Evaluation. Yuxuan Wang, Yijun Liu, Fei Yu, Chen Huang, Kexin Li, Zhiguo Wan, Wanxiang Che, Hongyang Chen |
| 2025 | CaRDiff: Video Salient Object Ranking Chain of Thought Reasoning for Saliency Prediction with Diffusion. Yunlong Tang, Gen Zhan, Li Yang, Yiting Liao, Chenliang Xu |
| 2025 | Calibrated Disambiguation for Partial Multi-label Learning. Zhuoming Li, Yuheng Jia, Mi Yu, Zicong Miao |
| 2025 | Calibrating Large Language Models with Sample Consistency. Qing Lyu, Kumar Shridhar, Chaitanya Malaviya, Li Zhang, Yanai Elazar, Niket Tandon, Marianna Apidianaki, Mrinmaya Sachan, Chris Callison-Burch |
| 2025 | Can Generative Models Improve Self-Supervised Representation Learning? Sana Ayromlou, Vahid Reza Khazaie, Fereshteh Forghani, Arash Afkanpour |
| 2025 | Can Go AIs Be Adversarially Robust? Tom Tseng, Euan McLean, Kellin Pelrine, Tony Tong Wang, Adam Gleave |
| 2025 | Can LLMs Obfuscate Code? A Systematic Analysis of Large Language Models into Assembly Code Obfuscation. Seyedreza Mohseni, Seyedali Mohammadi, Deepa Tilwani, Yash Saxena, Gerald Ketu Ndawula, Sriram Vema, Edward Raff, Manas Gaur |
| 2025 | Can LLMs Reliably Simulate Human Learner Actions? A Simulation Authoring Framework for Open-Ended Learning Environments. Amogh Mannekote, Adam Davies, Jina Kang, Kristy Elizabeth Boyer |
| 2025 | Can LVLMs Obtain a Driver's License? A Benchmark Towards Reliable AGI for Autonomous Driving. Yuhang Lu, Yichen Yao, Jiadong Tu, Jiangnan Shao, Yuexin Ma, Xinge Zhu |
| 2025 | Can Large Language Models Derive High-Level Cognition from Low-Level and Fragmented Foundational Information? Yang Liu, Xiaoping Wang, Kai Lu |
| 2025 | Can Private Machine Learning Be Fair? Joseph Rance, Filip Svoboda |
| 2025 | Can Students Beyond the Teacher? Distilling Knowledge from Teacher's Bias. Jianhua Zhang, Yi Gao, Ruyu Liu, Xu Cheng, Houxiang Zhang, Shengyong Chen |
| 2025 | Can Watermarking Large Language Models Prevent Copyrighted Text Generation and Hide Training Data? Michael-Andrei Panaitescu-Liess, Zora Che, Bang An, Yuancheng Xu, Pankayaraj Pathmanathan, Souradip Chakraborty, Sicheng Zhu, Tom Goldstein, Furong Huang |
| 2025 | Can We Get Rid of Handcrafted Feature Extractors? SparseViT: Nonsemantics-Centered, Parameter-Efficient Image Manipulation Localization Through Spare-Coding Transformer. Lei Su, Xiaochen Ma, Xuekang Zhu, Chaoqun Niu, Zeyu Lei, Ji-Zhe Zhou |
| 2025 | Capability Instruction Tuning. Yi-Kai Zhang, De-Chuan Zhan, Han-Jia Ye |
| 2025 | Capture Global Feature Statistics for One-Shot Federated Learning. Zenghao Guan, Yucan Zhou, Xiaoyan Gu |
| 2025 | Capturing the Unseen: Vision-Free Facial Motion Capture Using Inertial Measurement Units. Youjia Wang, Yiwen Wu, Hengan Zhou, Hongyang Lin, Xingyue Peng, Jingyan Zhang, Yingsheng Zhu, Yingwenqi Jiang, Yatu Zhang, Lan Xu, Jingya Wang, Jingyi Yu |
| 2025 | CareBot: A Pioneering Full-Process Open-Source Medical Language Model. Lulu Zhao, Weihao Zeng, Xiaofeng Shi, Hua Zhou |
| 2025 | CasFT: Future Trend Modeling for Information Popularity Prediction with Dynamic Cues-Driven Diffusion Models. Xin Jing, Yichen Jing, Yuhuan Lu, Bangchao Deng, Xueqin Chen, Dingqi Yang |
| 2025 | Cascaded Diffusion Models for Virtual Try-On: Improving Control and Resolution. Guangyuan Li, Yongkang Wang, Junsheng Luan, Lei Zhao, Wei Xing, Huaizhong Lin, Binkai Ou |
| 2025 | Category Prompt Mamba Network for Nuclei Segmentation and Classification. Ye Zhang, Zijie Fang, Yifeng Wang, Lingbo Zhang, Xianchao Guan, Yongbing Zhang |
| 2025 | Cauchy Diffusion: A Heavy-tailed Denoising Diffusion Probabilistic Model for Speech Synthesis. Qi Lian, Yu Qi, Yueming Wang |
| 2025 | Causal Discovery by Interventions via Integer Programming. Abdelmonem Elrefaey, Rong Pan |
| 2025 | Causal Explanation of Quality of Parent-Child Interactions with Multimodal Behavioral Features (Student Abstract). Katherine Guerrerio, Lujie Karen Chen, Lisa Berlin, Brenda Jones Harden |
| 2025 | Causal Inference over Visual-Semantic-Aligned Graph for Image Classification. Lei Meng, Xiangxian Li, Xiaoshuo Yan, Haokai Ma, Zhuang Qi, Wei Wu, Xiangxu Meng |
| 2025 | Causal Prompting: Debiasing Large Language Model Prompting Based on Front-Door Adjustment. Congzhi Zhang, Linhai Zhang, Jialong Wu, Yulan He, Deyu Zhou |
| 2025 | Causal-Inspired Multitask Learning for Video-Based Human Pose Estimation. Haipeng Chen, Sifan Wu, Zhigang Wang, Yifang Yin, Yingying Jiao, Yingda Lyu, Zhenguang Liu |
| 2025 | Causally Consistent Normalizing Flow. Qingyang Zhou, Kangjie Lu, Meng Xu |
| 2025 | Certification of Speaker Recognition Models to Additive Perturbations. Dmitrii Korzh, Elvir Karimov, Mikhail Pautov, Oleg Y. Rogov, Ivan V. Oseledets |
| 2025 | Certified Causal Defense with Generalizable Robustness. Yiran Qiao, Yu Yin, Chen Chen, Jing Ma |
| 2025 | Certified Trustworthiness in the Era of Large Language Models. Linyi Li |
| 2025 | Certifying Bounds Propagation for Integer Multiplication Constraints. Matthew J. McIlree, Ciaran McCreesh |
| 2025 | Chain-of-Instructions: Compositional Instruction Tuning on Large Language Models. Shirley Anugrah Hayati, Taehee Jung, Tristan Bodding-Long, Sudipta Kar, Abhinav Sethy, Joo-Kyung Kim, Dongyeop Kang |
| 2025 | ChangeDiff: A Multi-Temporal Change Detection Data Generator with Flexible Text Prompts via Diffusion Model. Qi Zang, Jiayi Yang, Shuang Wang, Dong Zhao, Wenjun Yi, Zhun Zhong |
| 2025 | Channel Merging: Preserving Specialization for Merged Experts. Mingyang Zhang, Jing Liu, Ganggui Ding, Linlin Ou, Xinyi Yu, Bohan Zhuang |
| 2025 | CharacterBench: Benchmarking Character Customization of Large Language Models. Jinfeng Zhou, Yongkang Huang, Bosi Wen, Guanqun Bi, Yuxuan Chen, Pei Ke, Zhuang Chen, Xiyao Xiao, Libiao Peng, Kuntian Tang, Rongsheng Zhang, Le Zhang, Tangjie Lv, Zhipeng Hu, Hongning Wang, Minlie Huang |
| 2025 | Characterising Simulation-Based Program Equilibria. Emery Cooper, Caspar Oesterheld, Vincent Conitzer |
| 2025 | ChatBug: A Common Vulnerability of Aligned LLMs Induced by Chat Templates. Fengqing Jiang, Zhangchen Xu, Luyao Niu, Bill Yuchen Lin, Radha Poovendran |
| 2025 | ChatTime: A Unified Multimodal Time Series Foundation Model Bridging Numerical and Textual Data. Chengsen Wang, Qi Qi, Jingyu Wang, Haifeng Sun, Zirui Zhuang, Jinming Wu, Lei Zhang, Jianxin Liao |
| 2025 | ChatterBox: Multimodal Referring and Grounding with Chain-of-Questions. Yunjie Tian, TianRen Ma, Lingxi Xie, Qixiang Ye |
| 2025 | Checking Consistency of CP-Theory Preferences in Polynomial Time. Erik Rauer, Samik Basu, Vasant G. Honavar |
| 2025 | ChemVLM: Exploring the Power of Multimodal Large Language Models in Chemistry Area. Junxian Li, Di Zhang, Xunzhi Wang, Zeying Hao, Jingdi Lei, Qian Tan, Cai Zhou, Wei Liu, Yaotian Yang, Xinrui Xiong, Weiyun Wang, Zhe Chen, Wenhai Wang, Wei Li, Mao Su, Shufei Zhang, Wanli Ouyang, Yuqiang Li, Dongzhan Zhou |
| 2025 | Cherry-Picking in Time Series Forecasting: How to Select Datasets to Make Your Model Shine. Luis Roque, Vítor Cerqueira, Carlos Soares, Luís Torgo |
| 2025 | CiTrus: Squeezing Extra Performance out of Low-data Bio-signal Transfer Learning. Eloy Geenjaar, Lie Lu |
| 2025 | Cirbo: A New Tool for Boolean Circuit Analysis and Synthesis. Daniil Averkov, Tatiana Belova, Gregory Emdin, Mikhail Goncharov, Viktoriia Krivogornitsyna, Alexander S. Kulikov, Fedor Kurmazov, Daniil Levtsov, Georgie Levtsov, Vsevolod Vaskin, Aleksey Vorobiev |
| 2025 | Citations and Trust in LLM Generated Responses. Yifan Ding, Matthew Facciani, Ellen Joyce, Amrit Poudel, Sanmitra Bhattacharya, Balaji Veeramani, Sal Aguiñaga, Tim Weninger |
| 2025 | Class Semantic Attribute Perception Guided Zero-Shot Learning. Qin Yue, Junbiao Cui, Jianqing Liang, Liang Bai |
| 2025 | Class and Attribute-Aware Logit Adjustment for Generalized Long-Tail Learning. Xiaoling Zhou, Ou Wu, Nan Yang |
| 2025 | Clean-Label Graph Backdoor Attack in the Node Classification Task. Hui Xia, Xiangwei Zhao, Rui Zhang, Shuo Xu, Luming Wang |
| 2025 | Click2Mask: Local Editing with Dynamic Mask Generation. Omer Regev, Omri Avrahami, Dani Lischinski |
| 2025 | ClinicalRAG: Automating Pharmaceutical Label Quality Control with Hierarchical RAG and Large Language Models. Qiaohui Zhou, Zhongliang Zhou, Michael Johnson, Michelle Ngo, Federico Ferrari, Junshui Ma |
| 2025 | Cluster Based Heterogeneous Federated Foundation Model Adaptation and Fine-Tuning. Xianda Wang, Yaqi Qiao, Duo Wu, Chenrui Wu, Fangxin Wang |
| 2025 | Cluster-guided Contrastive Class-imbalanced Graph Classification. Wei Ju, Zhengyang Mao, Siyu Yi, Yifang Qin, Yiyang Gu, Zhiping Xiao, Jianhao Shen, Ziyue Qiao, Ming Zhang |
| 2025 | Clustering by Mining Density Distributions and Splitting Manifold Structure. Zhichang Xu, Zhiguo Long, Hua Meng |
| 2025 | Co-Dream: Collaborative Dream Synthesis over Decentralized Models. Abhishek Singh, Gauri Gupta, Yichuan Shi, Alex Dang, Ritvik Kapila, Sheshank Shankar, Mohammed Ehab, Ramesh Raskar |
| 2025 | Co-Progression Knowledge Distillation with Knowledge Prototype for Industrial Anomaly Detection. Bokang Yang, Zhe Zhang, Jie Ma |
| 2025 | CoCoCo: Improving Text-Guided Video Inpainting for Better Consistency, Controllability and Compatibility. Bojia Zi, Shihao Zhao, Xianbiao Qi, Jianan Wang, Yukai Shi, Qianyu Chen, Bin Liang, Rong Xiao, Kam-Fai Wong, Lei Zhang |
| 2025 | CoDTS: Enhancing Sparsely Supervised Collaborative Perception with a Dual Teacher-Student Framework. Yushan Han, Hui Zhang, Honglei Zhang, Jing Wang, Yidong Li |
| 2025 | CoDe: Communication Delay-Tolerant Multi-Agent Collaboration via Dual Alignment of Intent and Timeliness. Shoucheng Song, Youfang Lin, Sheng Han, Chang Yao, Hao Wu, Shuo Wang, Kai Lv |
| 2025 | CoDeR: Counterfactual Demand Reasoning for Sequential Recommendation. Shuai Tang, Sitao Lin, Jianghong Ma, Xiaofeng Zhang |
| 2025 | CoMT: A Novel Benchmark for Chain of Multi-modal Thought on Large Vision-Language Models. Zihui Cheng, Qiguang Chen, Jin Zhang, Hao Fei, Xiaocheng Feng, Wanxiang Che, Min Li, Libo Qin |
| 2025 | CoPEFT: Fast Adaptation Framework for Multi-Agent Collaborative Perception with Parameter-Efficient Fine-Tuning. Quanmin Wei, Penglin Dai, Wei Li, Bingyi Liu, Xiao Wu |
| 2025 | CoPRA: Bridging Cross-domain Pretrained Sequence Models with Complex Structures for Protein-RNA Binding Affinity Prediction. Rong Han, Xiaohong Liu, Tong Pan, Jing Xu, Xiaoyu Wang, Wuyang Lan, Zhenyu Li, Zixuan Wang, Jiangning Song, Guangyu Wang, Ting Chen |
| 2025 | CoRA: Collaborative Information Perception by Large Language Model's Weights for Recommendation. Yuting Liu, Jinghao Zhang, Yizhou Dang, Yuliang Liang, Qiang Liu, Guibing Guo, Jianzhe Zhao, Xingwei Wang |
| 2025 | CoRe: Context-Regularized Text Embedding Learning for Text-to-Image Personalization. Feize Wu, Yun Pang, Junyi Zhang, Lianyu Pang, Jian Yin, Baoquan Zhao, Qing Li, Xudong Mao |
| 2025 | CoSDA: Enhancing the Robustness of Inversion-based Generative Image Watermarking Framework. Han Fang, Kejiang Chen, Zijin Yang, Bosen Cui, Weiming Zhang, Ee-Chien Chang |
| 2025 | CoT4Rec: Revealing User Preferences Through Chain of Thought for Recommender Systems. Weiqi Yue, Yuyu Yin, Xin Zhang, Binbin Shi, Tingting Liang, Jian Wan |
| 2025 | Cobra: Extending Mamba to Multi-Modal Large Language Model for Efficient Inference. Han Zhao, Min Zhang, Wei Zhao, Pengxiang Ding, Siteng Huang, Donglin Wang |
| 2025 | Code-switching Mediated Sentence-level Semantic Learning. Shuai Zhang, Jiangyan Yi, Zhengqi Wen, Jianhua Tao, Feihu Che, Jinyang Wu, Ruibo Fu |
| 2025 | CodeHalu: Investigating Code Hallucinations in LLMs via Execution-based Verification. Yuchen Tian, Weixiang Yan, Qian Yang, Xuandong Zhao, Qian Chen, Wen Wang, Ziyang Luo, Lei Ma, Dawn Song |
| 2025 | Codec Does Matter: Exploring the Semantic Shortcoming of Codec for Audio Language Model. Zhen Ye, Peiwen Sun, Jiahe Lei, Hongzhan Lin, Xu Tan, Zheqi Dai, Qiuqiang Kong, Jianyi Chen, Jiahao Pan, Qifeng Liu, Yike Guo, Wei Xue |
| 2025 | CodecNeRF: Toward Fast Encoding and Decoding, Compact, and High-quality Novel-view Synthesis. Gyeongjin Kang, Younggeun Lee, Seungjun Oh, Eunbyung Park |
| 2025 | CoffeeBoost: Gradient Boosting Native Conformal Inference for Bayesian Optimization. Yuanhao Lai, Pengfei Zheng, Chenpeng Ji, Cheng Qiu, Tingkai Wang, Songhan Zhang, Zhengang Wang, Yunfei Du |
| 2025 | CogSQL: A Cognitive Framework for Enhancing Large Language Models in Text-to-SQL Translation. Hongwei Yuan, Xiu Tang, Ke Chen, Lidan Shou, Gang Chen, Huan Li |
| 2025 | CognTKE: A Cognitive Temporal Knowledge Extrapolation Framework. Wei Chen, Yuting Wu, Shuhan Wu, Zhiyu Zhang, Mengqi Liao, Youfang Lin, Huaiyu Wan |
| 2025 | CognitionCapturer: Decoding Visual Stimuli from Human EEG Signal with Multimodal Information. Kaifan Zhang, Lihuo He, Xin Jiang, Wen Lu, Di Wang, Xinbo Gao |
| 2025 | Cognitive Bias and Reassignment: Who Can Contribute High Quality LLM Data. Yunfan Gao, Yun Xiong, Zhongyuan Hu, Yiming Zhang, Meng Wang, Haofen Wang |
| 2025 | Cognitive Fluctuations Enhanced Attention Network for Knowledge Tracing. Mingliang Hou, Xueyi Li, Teng Guo, Zitao Liu, Mi Tian, Renqiang Luo, Weiqi Luo |
| 2025 | CohEx: A Generalized Framework for Cohort Explanation. Fanyu Meng, Xin Liu, Zhaodan Kong, Xin Chen |
| 2025 | Coherency Improved Explainable Recommendation via Large Language Model. Shijie Liu, Ruixin Ding, Weihai Lu, Jun Wang, Mo Yu, Xiaoming Shi, Wei Zhang |
| 2025 | Collaborative Evolution: Multi-Round Learning Between Large and Small Language Models for Emergent Fake News Detection. Ziyi Zhou, Xiaoming Zhang, Shenghan Tan, Litian Zhang, Chaozhuo Li |
| 2025 | Collaborative Learning for 3D Hand-Object Reconstruction and Compositional Action Recognition from Egocentric RGB Videos Using Superquadrics. Tze Ho Elden Tse, Runyang Feng, Linfang Zheng, Jiho Park, Yixing Gao, Jihie Kim, Ales Leonardis, Hyung Jin Chang |
| 2025 | Collaborative Semantic Consistency Alignment for Blended-Target Domain Adaptation. Yuwu Lu, Xue Hu, Waikeung Wong, Haoyu Huang |
| 2025 | Collaborative Similarity Fusion and Consistency Recovery for Incomplete Multi-view Clustering. Bingbing Jiang, Chenglong Zhang, Xinyan Liang, Peng Zhou, Jie Yang, Xingyu Wu, Junyi Guan, Weiping Ding, Weiguo Sheng |
| 2025 | CollageNoter: Real-Time and Adaptive Collage Layout Design for Screenshot-Based E-Note-Taking. Qiuyun Zhang, Bin Guo, Lina Yao, Xiaotian Qiao, Ying Zhang, Zhiwen Yu |
| 2025 | Color Transfer with Modulated Flows. Maria A. Larchenko, Alexander Lobashev, Dmitry Guskov, Vladimir Vladimirovich Palyulin |
| 2025 | Column-Oriented Datalog on the GPU. Yihao Sun, Sidharth Kumar, Thomas Gilray, Kristopher K. Micinski |
| 2025 | Combating Multimodal LLM Hallucination via Bottom-Up Holistic Reasoning. Shengqiong Wu, Hao Fei, Liangming Pan, William Yang Wang, Shuicheng Yan, Tat-Seng Chua |
| 2025 | Combating Phone Scams with LLM-based Detection: Where Do We Stand? (Student Abstract). Zitong Shen, Kangzhong Wang, Youqian Zhang, Grace Ngai, Eugene Yujun Fu |
| 2025 | Combating Semantic Contamination in Learning with Label Noise. Wenxiao Fan, Kan Li |
| 2025 | Combining Priors with Experience: Confidence Calibration Based on Binomial Process Modeling. Jinzong Dong, Zhaohui Jiang, Dong Pan, Haoyang Yu |
| 2025 | Commitment to Sparse Strategies in Two-Player Games. Salam Afiouni, Jakub Cerný, Chun Kai Ling, Christian Kroer |
| 2025 | Common Sense Bias Modeling for Classification Tasks. Miao Zhang, Zee Fryer, Ben Colman, Ali Shahriyari, Gaurav Bharaj |
| 2025 | Communication Accommodation Between Large Language Models and Users Across Cultures (Student Abstract). Rong-Ching Chang, Hao-Chuan Wang |
| 2025 | Community-Aware Variational Autoencoder for Continuous Dynamic Networks. Junwei Cheng, Chaobo He, Pengxing Feng, Weixiong Liu, Kunlin Han, Yong Tang |
| 2025 | Community-Centric Graph Unlearning. Yi Li, Shichao Zhang, Guixian Zhang, Debo Cheng |
| 2025 | Comparative Analysis of Demonstration Selection Algorithms for In-Context Learning in Large Language Models (Student Abstract). Dong Shu, Mengnan Du |
| 2025 | Comparing Artificial Intelligence Curricula in Canadian and US Universities. Rose Niousha, Lexie Jingruo Guo, Rick Kaifeng Li, Narges Norouzi, Lisa Zhang |
| 2025 | Complete Symmetry Breaking for Finite Models. Marek Danco, Mikolás Janota, Michael Codish, João Jorge Araújo |
| 2025 | Complex-Cycle-Consistent Diffusion Model for Monaural Speech Enhancement. Yi Li, Yang Sun, Plamen P. Angelov |
| 2025 | Component-Level Segmentation for Oracle Bone Inscription Decipherment. Zhikai Hu, Yiu-ming Cheung, Yonggang Zhang, Peiying Zhang, Puiling Tang |
| 2025 | Compose with Me: Collaborative Music Inpainter for Symbolic Music Infilling. Zhejing Hu, Yan Liu, Gong Chen, Bruce X. B. Yu |
| 2025 | ComprehendEdit: A Comprehensive Dataset and Evaluation Framework for Multimodal Knowledge Editing. Yaohui Ma, Xiaopeng Hong, Shizhou Zhang, Huiyun Li, Zhilin Zhu, Wei Luo, Zhiheng Ma |
| 2025 | Comprehensive Multi-Modal Prototypes Are Simple and Effective Classifiers for Vast-Vocabulary Object Detection. Yitong Chen, Wenhao Yao, Lingchen Meng, Sihong Wu, Zuxuan Wu, Yu-Gang Jiang |
| 2025 | Compress to One Point: Neural Collapse for Pre-Trained Model-Based Class-Incremental Learning. Kun Wei, Zhe Xu, Cheng Deng |
| 2025 | Compressing Streamable Free-Viewpoint Videos to 0.1 MB per Frame. Luyang Tang, Jiayu Yang, Rui Peng, Yongqi Zhai, Shihe Shen, Ronggang Wang |
| 2025 | Compression-Aware Computing for Scalable and Sustainable AI. Zhaozhuo Xu |
| 2025 | Computational Thinking with Computer Vision: Developing AI Competency in an Introductory Computer Science Course. Tahiya Chowdhury |
| 2025 | Computationally Hard Problems Are Hard for QBF Proof Systems Too. Agnes Schleitzer, Olaf Beyersdorff |
| 2025 | Computing Game Symmetries and Equilibria That Respect Them. Emanuel Tewolde, Brian Hu Zhang, Caspar Oesterheld, Tuomas Sandholm, Vincent Conitzer |
| 2025 | Computing Perfect Bayesian Equilibria in Sequential Auctions with Verification. Vinzenz Thoma, Vitor Bosshard, Sven Seuken |
| 2025 | ConDSeg: A General Medical Image Segmentation Framework via Contrast-Driven Feature Enhancement. Mengqi Lei, Haochen Wu, Xinhua Lv, Xin Wang |
| 2025 | ConDo: Continual Domain Expansion for Absolute Pose Regression. Zijun Li, Zhipeng Cai, Bochun Yang, Xuelun Shen, Siqi Shen, Xiaoliang Fan, Michael Paulitsch, Cheng Wang |
| 2025 | ConFREE: Conflict-free Client Update Aggregation for Personalized Federated Learning. Hao Zheng, Zhigang Hu, Liu Yang, Meiguang Zheng, Aikun Xu, Boyu Wang |
| 2025 | ConSense: Continually Sensing Human Activity with WiFi via Growing and Picking. Rong Li, Tao Deng, Siwei Feng, Mingjie Sun, Juncheng Jia |
| 2025 | ConVis: Contrastive Decoding with Hallucination Visualization for Mitigating Hallucinations in Multimodal Large Language Models. Yeji Park, Deokyeong Lee, Junsuk Choe, Buru Chang |
| 2025 | Concept Conductor: Orchestrating Multiple Personalized Concepts in Text-to-Image Synthesis. Zebin Yao, Fangxiang Feng, Ruifan Li, Xiaojie Wang |
| 2025 | Concept Matching with Agent for Out-of-Distribution Detection. Yuxiao Lee, Xiaofeng Cao, Jingcai Guo, Wei Ye, Qing Guo, Yi Chang |
| 2025 | ConceptSearch: Towards Efficient Program Search Using LLMs for Abstraction and Reasoning Corpus (ARC) (Student Abstract). Kartik Singhal, Gautam Shroff |
| 2025 | ConceptSearch: Towards Efficient Program Search Using LLMs for Abstraction and Reasoning Corpus (ARC). Kartik Singhal, Gautam Shroff |
| 2025 | Concurrent Planning and Execution in Lifelong Multi-Agent Path Finding with Delay Probabilities. Yue Zhang, Zhe Chen, Daniel Harabor, Pierre Le Bodic, Peter J. Stuckey |
| 2025 | Conditional Diffusion Models Based Conditional Independence Testing. Yanfeng Yang, Shuai Li, Yingjie Zhang, Zhuoran Sun, Hai Shu, Ziqi Chen, Renming Zhang |
| 2025 | Conditional Feature Importance with Generative Modeling Using Adversarial Random Forests. Kristin Blesch, Niklas Koenen, Jan Kapar, Pegah Golchian, Lukas Burk, Markus Loecher, Marvin N. Wright |
| 2025 | Conditional Latent Coding with Learnable Synthesized Reference for Deep Image Compression. Siqi Wu, Yinda Chen, Dong Liu, Zhihai He |
| 2025 | Confidence Estimation for Error Detection in Text-to-SQL Systems. Oleg Somov, Elena Tutubalina |
| 2025 | ConfigX: Modular Configuration for Evolutionary Algorithms via Multitask Reinforcement Learning. Hongshu Guo, Zeyuan Ma, Jiacheng Chen, Yining Ma, Zhiguang Cao, Xinglin Zhang, Yue-Jiao Gong |
| 2025 | Configuring Data Augmentations to Reduce Variance Shift in Positional Embedding of Vision Transformers. Bum Jun Kim, Sang Woo Kim |
| 2025 | Conformal Inference of Individual Treatment Effects Using Conditional Density Estimates. Baozhen Wang, Xingye Qiao |
| 2025 | Conformal Prediction for Partial Label Learning. Xiuwen Gong, Nitin Bisht, Guandong Xu |
| 2025 | Conformal Thresholded Intervals for Efficient Regression. Rui Luo, Zhixin Zhou |
| 2025 | Conformalized Interval Arithmetic with Symmetric Calibration. Rui Luo, Zhixin Zhou |
| 2025 | Confounding-Robust Deferral Policy Learning. Ruijiang Gao, Mingzhang Yin |
| 2025 | Consistency of Compositional Generalization Across Multiple Levels. Chuanhao Li, Zhen Li, Chenchen Jing, Xiaomeng Fan, Wenbo Ye, Yuwei Wu, Yunde Jia |
| 2025 | Consistent Query Answering over Existential Rules with Open and Closed Predicates. Lorenzo Marconi, Riccardo Rosati |
| 2025 | Constant-Factor Distortion Mechanisms for k-Committee Election. Haripriya Pulyassary, Chaitanya Swamy |
| 2025 | Constrained Fair and Efficient Allocations. Benjamin Cookson, Soroush Ebadian, Nisarg Shah |
| 2025 | Constrained Generative Modeling with Manually Bridged Diffusion Models. Saeid Naderiparizi, Xiaoxuan Liang, Berend Zwartsenberg, Frank Wood |
| 2025 | Constrained Offline Black-Box Optimization via Risk Evaluation and Management. Yiyi Zhu, Huakang Lu, Yupeng Wu, Shuo Liu, Jing-Wen Yang, Hong Qian |
| 2025 | Constraint Optimisation Approaches for Designing Group-Living Captive Breeding Programmes. Matthew Forshaw, Rachel Gray, Bridgett vonHoldt, Alexander Ochoa, Joshua M. Miller, Kristin E. Brzeski, Adalgisa Caccone, Evelyn L. Jensen |
| 2025 | Constraint-Adaptive Policy Switching for Offline Safe Reinforcement Learning. Yassine Chemingui, Aryan Deshwal, Honghao Wei, Alan Fern, Jana Doppa |
| 2025 | Constraint-aware Pareto Optimization for Tree-Structured Networks: Addressing Decarbonization Targets with Hydropower Expansion. Marc Grimson, Zhongdi Qu, Yue Mao, Aaron M. Ferber, Felipe Siqueira Pacheco, Sebastian Heilpern, Hector Angarita, Alexander Flecker, Carla P. Gomes |
| 2025 | Constructing Fair Latent Space for Intersection of Fairness and Explainability. Hyungjun Joo, Hyeonggeun Han, Sehwan Kim, Sangwoo Hong, Jungwoo Lee |
| 2025 | Content-aware Balanced Spectrum Encoding in Masked Modeling for Time Series Classification. Yudong Han, Haocong Wang, Yupeng Hu, Yongshun Gong, Xuemeng Song, Weili Guan |
| 2025 | Content-free Logical Modification of Large Language Model by Disentangling and Modifying Logic Representation. Xin Wu, Yuqi Bu, Yifei Chen, Yi Cai |
| 2025 | Context in Public Health for Underserved Communities: A Bayesian Approach to Online Restless Bandits. Biyonka Liang, Lily Xu, Aparna Taneja, Milind Tambe, Lucas Janson |
| 2025 | Context-aware Graph Neural Network for Graph-based Fraud Detection with Extremely Limited Labels. Pengbo Li, Hang Yu, Xiangfeng Luo |
| 2025 | Context-aware Inductive Knowledge Graph Completion with Latent Type Constraints and Subgraph Reasoning. Muzhi Li, Cehao Yang, Chengjin Xu, Zixing Song, Xuhui Jiang, Jian Guo, Ho-fung Leung, Irwin King |
| 2025 | ContextHOI: Spatial Context Learning for Human-Object Interaction Detection. Mingda Jia, Liming Zhao, Ge Li, Yun Zheng |
| 2025 | Contextual Stochastic Optimization for School Desegregation Policymaking. Hongzhao Guan, Nabeel Gillani, Tyler Simko, Jasmine Mangat, Pascal Van Hentenryck |
| 2025 | Contextual Structure Knowledge Transfer for Graph Neural Networks. Zhiyuan Yu, Wenzhong Li, Zhangyue Yin, Xiaobin Hong, Shijian Xiao, Sanglu Lu |
| 2025 | ContextualStory: Consistent Visual Storytelling with Spatially-Enhanced and Storyline Context. Sixiao Zheng, Yanwei Fu |
| 2025 | Continual Learning Using a Kernel-Based Method Over Foundation Models. Saleh Momeni, Sahisnu Mazumder, Bing Liu |
| 2025 | Continual Unsupervised Generative Modelling via Online Optimal Transport. Fei Ye, Adrian G. Bors, Kun Zhang |
| 2025 | Contract-based Design and Verification of Multi-Agent Systems with Quantitative Temporal Requirements. Rafael Dewes, Rayna Dimitrova |
| 2025 | Contradicted in Reliable, Replicated in Unreliable: Dual-Source Reference for Fake News Early Detection. Yifan Feng, Weimin Li, Yue Wang, Jingchao Wang, Fangfang Liu, Zhongming Han |
| 2025 | Contrasting Adversarial Perturbations: The Space of Harmless Perturbations. Lu Chen, Shaofeng Li, Benhao Huang, Fan Yang, Zheng Li, Jie Li, Yuan Luo |
| 2025 | Contrastive Auxiliary Learning with Structure Transformation for Heterogeneous Graphs. Wei Du, Hongmin Sun, Hang Gao, Gaoyang Li, Ying Li |
| 2025 | Contrastive Functional Principal Component Analysis. Eric Zhang, Didong Li |
| 2025 | Contrastive Multi-view Subspace Clustering via Tensor Transformers Autoencoder. Qianqian Wang, Zihao Zhang, Wei Feng, Zhiqiang Tao, Quanxue Gao |
| 2025 | Contrastive Representation for Interactive Recommendation. Jingyu Li, Zhiyong Feng, Dongxiao He, Hongqi Chen, Qinghang Gao, Guoli Wu |
| 2025 | Controllable 3D Dance Generation Using Diffusion-Based Transformer U-Net. Puyuan Guo, Tuo Hao, Wenxin Fu, Yingming Gao, Ya Li |
| 2025 | Controllable Distortion-Perception Tradeoff Through Latent Diffusion for Neural Image Compression. Chuqin Zhou, Guo Lu, Jiangchuan Li, Xiangyu Chen, Zhengxue Cheng, Li Song, Wenjun Zhang |
| 2025 | Controllable Protein Sequence Generation with LLM Preference Optimization. Xiangyu Liu, Yi Liu, Silei Chen, Wei Hu |
| 2025 | Controlling Equational Reasoning in Large Language Models with Prompt Interventions. Jordan Meadows, Marco Valentino, André Freitas |
| 2025 | Controlling Large Language Models Through Concept Activation Vectors. Hanyu Zhang, Xiting Wang, Chengao Li, Xiang Ao, Qing He |
| 2025 | Convergence Analysis of Federated Learning Methods Using Backward Error Analysis. Jinwoo Lim, Suhyun Kim, Soo-Mook Moon |
| 2025 | Convergence Rate in a Nonlinear Two-Time-Scale Stochastic Approximation with State (Time)-Dependence. Zixi Chen, Yumin Xu, Ruixun Zhang |
| 2025 | Cooperative Policy Agreement: Learning Diverse Policy for Offline MARL. Yihe Zhou, Yuxuan Zheng, Yue Hu, Kaixuan Chen, Tongya Zheng, Jie Song, Mingli Song, Shunyu Liu |
| 2025 | Core Knowledge Learning Framework for Graph. Bowen Zhang, Zhichao Huang, Guangning Xu, Xiaomao Fan, Mingyan Xiao, Genan Dai, Hu Huang |
| 2025 | Core-to-Global Reasoning for Compositional Visual Question Answering. Hao Zhou, Tingjin Luo, Zhangqi Jiang |
| 2025 | Correcting Large Language Model Behavior via Influence Function. Han Zhang, Zhuo Zhang, Yi Zhang, Yuanzhao Zhai, Hanyang Peng, Yu Lei, Yue Yu, Hui Wang, Bin Liang, Lin Gui, Ruifeng Xu |
| 2025 | Correlation-Attention Masked Temporal Transformer for User Identity Linkage Using Heterogeneous Mobility Data. Ziang Yan, Xingyu Zhao, Hanqing Ma, Wei Chen, Jianpeng Qi, Yanwei Yu, Junyu Dong |
| 2025 | Cost-Aware Near-Optimal Policy Learning. Joy He-Yueya, Jonathan Lee, Matthew Jörke, Emma Brunskill |
| 2025 | Counterexample Guided Program Repair Using Zero-Shot Learning and MaxSAT-based Fault Localization. Pedro Orvalho, Mikolás Janota, Vasco M. Manquinho |
| 2025 | Counterfactual Debiasing for Physical Audiovisual Commonsense Reasoning. Daoming Zong, Chaoyue Ding, Kaitao Chen, Yinsheng Li, Shuaiyu Wang |
| 2025 | Counterfactual Explanations of Time Varying Rankings (Student Abstract). Ryusei Ohtani, Yuko Sakurai, Satoshi Oyama |
| 2025 | Counterfactual Identification Under Monotonicity Constraints. Aurghya Maiti, Drago Plecko, Elias Bareinboim |
| 2025 | Counterfactual Online Learning for Open-Loop Monte-Carlo Planning. Thomy Phan, Shao-Hung Chan, Sven Koenig |
| 2025 | Counterfactual Task-augmented Meta-learning for Cold-start Sequential Recommendation. Zhiqiang Wang, Jiayi Pan, Xingwang Zhao, Jianqing Liang, Chenjiao Feng, Kaixuan Yao |
| 2025 | Counting and Reasoning with Plans. David Speck, Markus Hecher, Daniel Gnad, Johannes Klaus Fichte, Augusto B. Corrêa |
| 2025 | Coupling-based Convergence Diagnostic and Stepsize Scheme for Stochastic Gradient Descent. Xiang Li, Qiaomin Xie |
| 2025 | CrAM: Credibility-Aware Attention Modification in LLMs for Combating Misinformation in RAG. Boyi Deng, Wenjie Wang, Fengbin Zhu, Qifan Wang, Fuli Feng |
| 2025 | Cradle-VAE: Enhancing Single-Cell Gene Perturbation Modeling with Counterfactual Reasoning-based Artifact Disentanglement. Seungheun Baek, Soyon Park, Yan Ting Chok, Junhyun Lee, Jueon Park, Mogan Gim, Jaewoo Kang |
| 2025 | CraftFactory: A Conditioned Control Policy Benchmark for Compositional Generalization. Jinbing Hou, Youpeng Zhao, Jian Zhao |
| 2025 | Creating Coherence in Federated Non-Negative Matrix Factorization. Sebastian Dalleiger, Aristides Gionis |
| 2025 | CriSPO: Multi-Aspect Critique-Suggestion-guided Automatic Prompt Optimization for Text Generation. Han He, Qianchu Liu, Lei Xu, Chaitanya Shivade, Yi Zhang, Sundararajan Srinivasan, Katrin Kirchhoff |
| 2025 | Critical Forgetting-Based Multi-Scale Disentanglement for Deepfake Detection. Kai Li, Wenqi Ren, Jianshu Li, Wei Wang, Xiaochun Cao |
| 2025 | Cross-Domain Trajectory Association Based on Hierarchical Spatiotemporal Enhanced Attention Hypergraph. Chenlong Wu, Ze Wang, Keqing Cen, Yude Bai, Jin Hao |
| 2025 | Cross-Lingual Text-Rich Visual Comprehension: An Information Theory Perspective. Xinmiao Yu, Xiaocheng Feng, Yun Li, Minghui Liao, Ya-Qi Yu, Xiachong Feng, Weihong Zhong, Ruihan Chen, Mengkang Hu, Jihao Wu, Duyu Tang, Dandan Tu, Bing Qin |
| 2025 | Cross-Modal Few-Shot Learning with Second-Order Neural Ordinary Differential Equations. Yi Zhang, Chun-Wun Cheng, Junyi He, Zhihai He, Carola-Bibiane Schönlieb, Yuyan Chen, Angelica I. Avilés-Rivero |
| 2025 | Cross-Modal Stealth: A Coarse-to-Fine Attack Framework for RGB-T Tracker. Xinyu Xiang, Qinglong Yan, Hao Zhang, Jianfeng Ding, Han Xu, Zhongyuan Wang, Jiayi Ma |
| 2025 | Cross-PCR: A Robust Cross-Source Point Cloud Registration Framework. Guiyu Zhao, Zhentao Guo, Zewen Du, Hongbin Ma |
| 2025 | Cross-Silo Feature Space Alignment for Federated Learning on Clients with Imbalanced Data. Zhuang Qi, Lei Meng, Zhaochuan Li, Han Hu, Xiangxu Meng |
| 2025 | Cross-Spectral Gaussian Splatting with Spatial Occupancy Consistency. Haipeng Guo, Huanyu Liu, Jiazheng Wen, Junbao Li |
| 2025 | Cross-Validated Off-Policy Evaluation. Matej Cief, Branislav Kveton, Michal Kompan |
| 2025 | Cross-View Graph Consistency Learning for Invariant Graph Representations. Jie Chen, Hua Mao, Wai Lok Woo, Chuanbin Liu, Xi Peng |
| 2025 | Cross-View Referring Multi-Object Tracking. Sijia Chen, En Yu, Wenbing Tao |
| 2025 | Cross-modal Multi-task Learning for Multimedia Event Extraction. Jianwei Cao, Yanli Hu, Zhen Tan, Xiang Zhao |
| 2025 | Cross-modulated Attention Transformer for RGBT Tracking. Yun Xiao, Jiacong Zhao, Andong Lu, Chenglong Li, Bing Yin, Yin Lin, Cong Liu |
| 2025 | Crossfire: An Elastic Defense Framework for Graph Neural Networks Under Bit Flip Attacks. Lorenz Kummer, Samir Moustafa, Wilfried N. Gansterer, Nils Morten Kriege |
| 2025 | CryoDomain: Sequence-free Protein Domain Identification from Low-resolution Cryo-EM Density Maps. Muzhi Dai, Zhuoer Dong, Weining Fu, Kui Xu, Qiangfeng Cliff Zhang |
| 2025 | CtrlAvatar: Controllable Avatars Generation via Disentangled Invertible Networks. Wenfeng Song, Yang Ding, Fei Hou, Shuai Li, Aimin Hao, Xia Hou |
| 2025 | Cultivating Archipelago of Forests: Evolving Robust Decision Trees Through Island Coevolution. Adam Zychowski, Andrew Perrault, Jacek Mandziuk |
| 2025 | Curriculum Conditioned Diffusion for Multimodal Recommendation. Yimeng Yang, Haokai Ma, Lei Meng, Shuo Xu, Ruobing Xie, Xiangxu Meng |
| 2025 | CustomContrast: A Multilevel Contrastive Perspective for Subject-Driven Text-to-Image Customization. Nan Chen, Mengqi Huang, Zhuowei Chen, Yang Zheng, Lei Zhang, Zhendong Mao |
| 2025 | CustomCrafter: Customized Video Generation with Preserving Motion and Concept Composition Abilities. Tao Wu, Yong Zhang, Xintao Wang, Xianpan Zhou, Guangcong Zheng, Zhongang Qi, Ying Shan, Xi Li |
| 2025 | CustomTTT: Motion and Appearance Customized Video Generation via Test-Time Training. Xiuli Bi, Jian Lu, Bo Liu, Xiaodong Cun, Yong Zhang, Weisheng Li, Bin Xiao |
| 2025 | CyberPal.AI: Empowering LLMs with Expert-Driven Cybersecurity Instructions. Matan Levi, Yair Allouche, Daniel Ohayon, Anton Puzanov |
| 2025 | Cycle3D: High-quality and Consistent Image-to-3D Generation via Generation-Reconstruction Cycle. Zhenyu Tang, Junwu Zhang, Xinhua Cheng, Wangbo Yu, Chaoran Feng, Yatian Pang, Bin Lin, Li Yuan |
| 2025 | D Qian Zeng, Jie Song, Han Zheng, Hao Jiang, Mingli Song |
| 2025 | D&M: Enriching E-commerce Videos with Sound Effects by Key Moment Detection and SFX Matching. Jingyu Liu, Minquan Wang, Ye Ma, Bo Wang, Aozhu Chen, Quan Chen, Peng Jiang, Xirong Li |
| 2025 | DABL: Detecting Semantic Anomalies in Business Processes Using Large Language Models. Wei Guan, Jian Cao, Jianqi Gao, Haiyan Zhao, Shiyou Qian |
| 2025 | DAMMFND: Domain-Aware Multimodal Multi-view Fake News Detection. Weihai Lu, Yu Tong, Zhiqiu Ye |
| 2025 | DAMPER: A Dual-Stage Medical Report Generation Framework with Coarse-Grained MeSH Alignment and Fine-Grained Hypergraph Matching. Xiaofei Huang, Wenting Chen, Jie Liu, Qisheng Lu, Xiaoling Luo, Linlin Shen |
| 2025 | DAPoinTr: Domain Adaptive Point Transformer for Point Cloud Completion. Yinghui Li, Qianyu Zhou, Jingyu Gong, Ye Zhu, Richard Dazeley, Xinkui Zhao, Xuequan Lu |
| 2025 | DARR: A Dual-Branch Arithmetic Regression Reasoning Framework for Solving Machine Number Reasoning. Chengtai Li, Yee Yang Tan, Yuting He, Jianfeng Ren, Ruibin Bai, Yitian Zhao, Heng Yu, Xudong Jiang |
| 2025 | DASK: Distribution Rehearsing via Adaptive Style Kernel Learning for Exemplar-Free Lifelong Person Re-Identification. Kunlun Xu, Chenghao Jiang, Peixi Xiong, Yuxin Peng, Jiahuan Zhou |
| 2025 | DC-PCN: Point Cloud Completion Network with Dual-Codebook Guided Quantization. Qiuxia Wu, Haiyang Huang, Kunming Su, Zhiyong Wang, Kun Hu |
| 2025 | DCA: Dividing and Conquering Amnesia in Incremental Object Detection. Aoting Zhang, Dongbao Yang, Chang Liu, Xiaopeng Hong, Miao Shang, Yu Zhou |
| 2025 | DCC: Differentiable Cardinality Constraints for Partial Index Tracking. Wooyeon Jo, Hyunsouk Cho |
| 2025 | DCHM: Dynamic Collaboration of Heterogeneous Models Through Isomerism Learning in a Blockchain-Powered Federated Learning Framework. Zhihao Hao, Bob Zhang, Haisheng Li |
| 2025 | DCILP: A Distributed Approach for Large-Scale Causal Structure Learning. Shuyu Dong, Michèle Sebag, Kento Uemura, Akito Fujii, Shuang Chang, Yusuke Koyanagi, Koji Maruhashi |
| 2025 | DCSF-KD: Dynamic Channel-wise Spatial Feature Knowledge Distillation for Object Detection. Tao Dai, Yang Lin, Hang Guo, Jinbao Wang, Zexuan Zhu |
| 2025 | DCTMamba: Advancing JPEG Image Restoration Through Long-Sequence Modeling and Adaptive Frequency Strategy. Xi Wang, Xueyang Fu, Liang Li, Zheng-Jun Zha |
| 2025 | DDJND: Dual Domain Just Noticeable Difference in Multi-Source Content Images with Structural Discrepancy. Miaohui Wang, ZhenMing Li, Wuyuan Xie |
| 2025 | DECIDER: Difference-aware Contrastive Diffusion Model with Adversarial Perturbations for Image Change Captioning. Guojin Zhong, Jinhong Hu, Jiajun Chen, Jin Yuan, Wenbo Pan |
| 2025 | DECT: Harnessing LLM-assisted Fine-Grained Linguistic Knowledge and Label-Switched and Label-Preserved Data Generation for Diagnosis of Alzheimer's Disease. Tingyu Mo, Jacqueline C. K. Lam, Victor O. K. Li, Lawrence Y. L. Cheung |
| 2025 | DEEPTalk: Dynamic Emotion Embedding for Probabilistic Speech-Driven 3D Face Animation. Jisoo Kim, Jungbin Cho, Joonho Park, Soonmin Hwang, Da Eun Kim, Geon Kim, Youngjae Yu |
| 2025 | DELTA: Pre-Train a Discriminative Encoder for Legal Case Retrieval via Structural Word Alignment. Haitao Li, Qingyao Ai, Xinyan Han, Jia Chen, Qian Dong, Yiqun Liu |
| 2025 | DEQA: Descriptions Enhanced Question-Answering Framework for Multimodal Aspect-Based Sentiment Analysis. Zhixin Han, Mengting Hu, Yinhao Bai, Xunzhi Wang, Bitong Luo |
| 2025 | DF-MIA: A Distribution-Free Membership Inference Attack on Fine-Tuned Large Language Models. Zhiheng Huang, Yannan Liu, Daojing He, Yu Li |
| 2025 | DFDNet: Disentangling and Filtering Dynamics for Enhanced Video Prediction. Lianqiang Gan, Junyu Lai, Jingze Ju, Lianli Gao, Yi Bin |
| 2025 | DFF: Decision-Focused Fine-Tuning for Smarter Predict-Then-Optimize with Limited Data. Jiaqi Yang, Enming Liang, Zicheng Su, Zhichao Zou, Peng Zhen, Jiecheng Guo, Wanjing Ma, Kun An |
| 2025 | DG-Mamba: Robust and Efficient Dynamic Graph Structure Learning with Selective State Space Models. Haonan Yuan, Qingyun Sun, Zhaonan Wang, Xingcheng Fu, Cheng Ji, Yongjian Wang, Bo Jin, Jianxin Li |
| 2025 | DGFamba: Learning Flow Factorized State Space for Visual Domain Generalization. Qi Bi, Jingjun Yi, Hao Zheng, Haolan Zhan, Wei Ji, Yawen Huang, Yuexiang Li |
| 2025 | DHAKR: Learning Deep Hierarchical Attention-Based Kernelized Representations for Graph Classification. Feifei Qian, Lu Bai, Lixin Cui, Ming Li, Ziyu Lyu, Hangyuan Du, Edwin R. Hancock |
| 2025 | DHMoE: Diffusion Generated Hierarchical Multi-Granular Expertise for Stock Prediction. Weijun Chen, Yanze Wang |
| 2025 | DIDiffGes: Decoupled Semi-Implicit Diffusion Models for Real-time Gesture Generation from Speech. Yongkang Cheng, Shaoli Huang, Xuelin Chen, Jifeng Ning, Mingming Gong |
| 2025 | DLF: Disentangled-Language-Focused Multimodal Sentiment Analysis. Pan Wang, Qiang Zhou, Yawen Wu, Tianlong Chen, Jingtong Hu |
| 2025 | DM-Adapter: Domain-Aware Mixture-of-Adapters for Text-Based Person Retrieval. Yating Liu, Zimo Liu, Xiangyuan Lan, Wenming Yang, Yaowei Li, Qingmin Liao |
| 2025 | DME-Driver: Integrating Human Decision Logic and 3D Scene Perception in Autonomous Driving. Wencheng Han, Dongqian Guo, Cheng-Zhong Xu, Jianbing Shen |
| 2025 | DMF-Net: Image-Guided Point Cloud Completion with Dual-Channel Modality Fusion and Shape-Aware Upsampling Transformer. Aihua Mao, Yuxuan Tang, Jiangtao Huang, Ying He |
| 2025 | DMT-RoleBench: A Dynamic Multi-Turn Dialogue Based Benchmark for Role-Playing Evaluation of Large Language Model and Agent. Dingbo Yuan, Yipeng Chen, Guodong Liu, Chenchen Li, Chengfu Tang, Dongxu Zhang, Zhenkui Wang, Xudong Wang, Song Liu |
| 2025 | DOGE: LLMs-Enhanced Hyper-Knowledge Graph Recommender for Multimodal Recommendation. Fanshen Meng, Zhenhua Meng, Ru Jin, Rongheng Lin, Budan Wu |
| 2025 | DOGR: Leveraging Document-Oriented Contrastive Learning in Generative Retrieval. Penghao Lu, Xin Dong, Yuansheng Zhou, Lei Cheng, Chuan Yuan, Linjian Mo |
| 2025 | DOMAINEVAL: An Auto-Constructed Benchmark for Multi-Domain Code Generation. Qiming Zhu, Jialun Cao, Yaojie Lu, Hongyu Lin, Xianpei Han, Le Sun, Shing-Chi Cheung |
| 2025 | DOMBA: Double Model Balancing for Access-Controlled Language Models via Minimum-Bounded Aggregation. Tom Segal, Asaf Shabtai, Yuval Elovici |
| 2025 | DP-MemArc: Differential Privacy Transfer Learning for Memory Efficient Language Models. Yanming Liu, Xinyue Peng, Yuwei Zhang, Xiaolan Ke, Songhang Deng, Jiannan Cao, Chen Ma, Mengchen Fu, Xuhong Zhang, Sheng Cheng, Xun Wang, Jianwei Yin, Tianyu Du |
| 2025 | DPCL-Diff：Temporal Knowledge Graph Reasoning Based on Graph Node Diffusion Model with Dual-Domain Periodic Contrastive Learning. Yukun Cao, Lisheng Wang, Luobin Huang |
| 2025 | DPLUT: Unsupervised Low-light Image Enhancement with Lookup Tables and Diffusion Priors. Yunlong Lin, Zhenqi Fu, Kairun Wen, Tian Ye, Sixiang Chen, Ge Meng, Yingying Wang, Chui Kong, Yue Huang, Xiaotong Tu, Xinghao Ding |
| 2025 | DR-Encoder: Encode Low-rank Gradients with Random Prior for Large Language Models Differentially Privately. Huiwen Wu, Deyi Zhang, Xiaohan Li, Xiaogang Xu, Jiafei Wu, Zhe Liu |
| 2025 | DR-VAE: Debiased and Representation-enhanced Variational Autoencoder for Collaborative Recommendation. Fan Wang, Chaochao Chen, Weiming Liu, Minye Lei, Jintao Chen, Yuwen Liu, Xiaolin Zheng, Jianwei Yin |
| 2025 | DREAM: Decoupled Discriminative Learning with Bigraph-aware Alignment for Semi-supervised 2D-3D Cross-modal Retrieval. Fan Zhang, Changhu Wang, Zebang Cheng, Xiaojiang Peng, Dongjie Wang, Yijia Xiao, Chong Chen, Xian-Sheng Hua, Xiao Luo |
| 2025 | DSGram: Dynamic Weighting Sub-Metrics for Grammatical Error Correction in the Era of Large Language Models. Jinxiang Xie, Yilin Li, Xunjian Yin, Xiaojun Wan |
| 2025 | DSRC: Learning Density-Insensitive and Semantic-Aware Collaborative Representation Against Corruptions. Jingyu Zhang, Yilei Wang, Lang Qian, Peng Sun, Zengwen Li, Sudong Jiang, Maolin Liu, Liang Song |
| 2025 | DUO: Diverse, Uncertain, On-Policy Query Generation and Selection for Reinforcement Learning from Human Feedback. Xuening Feng, Zhaohui Jiang, Timo Kaufmann, Puchen Xu, Eyke Hüllermeier, Paul Weng, Yifei Zhu |
| 2025 | DUSTED: Dual-Attention Enhanced Spatial Transcriptomics Denoiser. Jun Zhu, Yifu Li, Zhenchao Tang, Cheng Chang |
| 2025 | DVP-MVS: Synergize Depth-Edge and Visibility Prior for Multi-View Stereo. Zhenlong Yuan, Jinguo Luo, Fei Shen, Zhaoxin Li, Cong Liu, Tianlu Mao, Zhaoqi Wang |
| 2025 | DZAD: Diffusion-based Zero-shot Anomaly Detection. Tianrui Zhang, Liang Gao, Xinyu Li, Yiping Gao |
| 2025 | DanceFix: An Exploration in Group Dance Neatness Assessment Through Fixing Abnormal Challenges of Human Pose. Huangbiao Xu, Xiao Ke, Huanqi Wu, Rui Xu, Yuezhou Li, Peirong Xu, Wenzhong Guo |
| 2025 | Data Attribution: A Data-Centric Approach for Trustworthy AI Development. Jiaqi Ma |
| 2025 | Data Augmentation Approaches for Satellite Imagery. Laurel M. Hopkins, Weng-Keen Wong, Hannah Kerner, Fuxin Li, Rebecca A. Hutchinson |
| 2025 | Data Augmentation for Instruction Following Policies via Trajectory Segmentation. Niklas Höpner, Ilaria Tiddi, Herke van Hoof |
| 2025 | Data Monitoring for Large Scale Public Health Data. Ananya Joshi |
| 2025 | Data Wrangling Task Automation Using Code-Generating Language Models. Ashlesha Akella, Krishnasuri Narayanam |
| 2025 | Data with High and Consistent Preference Difference Are Better for Reward Model. Qi Lin, Hengtong Lu, Caixia Yuan, Xiaojie Wang, Huixing Jiang, Wei Chen |
| 2025 | Data-Free Black-Box Federated Learning via Zeroth-Order Gradient Estimation. Xinge Ma, Jin Wang, Xuejie Zhang |
| 2025 | Data-Free Universal Attack by Exploiting the Intrinsic Vulnerability of Deep Models. YangTian Yan, Jinyu Tian |
| 2025 | Data-driven Precipitation Nowcasting Using Satellite Imagery. Young-Jae Park, Doyi Kim, Minseok Seo, Hae-Gon Jeon, Yeji Choi |
| 2025 | De Novo Molecular and Crystal Design with Latent Space Bayesian Optimization. Onur Boyar |
| 2025 | De-singularity Subgradient for the q-th-Powered lₚ-Norm Weber Location Problem. Zhao-Rong Lai, Xiaotian Wu, Liangda Fang, Ziliang Chen, Cheng Li |
| 2025 | DeCorrNet: Enhancing Neural Decoding Performance by Eliminating Correlations in Noise. Xianhan Tan, Yu Qi, Yueming Wang |
| 2025 | DeMo: Decoupled Feature-Based Mixture of Experts for Multi-Modal Object Re-Identification. Yuhao Wang, Yang Liu, Aihua Zheng, Pingping Zhang |
| 2025 | DeMo: Deep Motion Field Consensus with Learnable Kernels for Two-view Correspondence Learning. Yifan Lu, Jiajun Le, Zizhuo Li, Yixuan Yuan, Jiayi Ma |
| 2025 | DeNC: Unleash Neural Codecs in Video Streaming with Diffusion Enhancement. Qihua Zhou, Ruibin Li, Jingcai Guo, Yaodong Huang, Zhenda Xu, Laizhong Cui, Song Guo |
| 2025 | DeRainGS: Gaussian Splatting for Enhanced Scene Reconstruction in Rainy Environments. Shuhong Liu, Xiang Chen, Hongming Chen, Quanfeng Xu, Mingrui Li |
| 2025 | DearLLM: Enhancing Personalized Healthcare via Large Language Models-Deduced Feature Correlations. Yongxin Xu, Xinke Jiang, Xu Chu, Rihong Qiu, Yujie Feng, Hongxin Ding, Junfeng Zhao, Yasha Wang, Bing Xie |
| 2025 | Debate Helps Weak-to-Strong Generalization. Hao Lang, Fei Huang, Yongbin Li |
| 2025 | Debate on Graph: A Flexible and Reliable Reasoning Framework for Large Language Models. Jie Ma, Zhitao Gao, Qi Chai, Wangchun Sun, Pinghui Wang, Hongbin Pei, Jing Tao, Lingyun Song, Jun Liu, Chen Zhang, Lizhen Cui |
| 2025 | Debiased Active Learning with Variational Gradient Rectifier. Weiguo Chen, Changjian Wang, Shijun Li, Kele Xu, Yanru Bai, Wei Chen, Shanshan Li |
| 2025 | Debiased All-in-one Image Restoration with Task Uncertainty Regularization. Gang Wu, Junjun Jiang, Yijun Wang, Kui Jiang, Xianming Liu |
| 2025 | Debiased Distillation for Consistency Regularization. Lu Wang, Liuchi Xu, Xiong Yang, Zhenhua Huang, Jun Cheng |
| 2025 | Debiased Multimodal Understanding for Human Language Sequences. Zhi Xu, Dingkang Yang, Mingcheng Li, Yuzheng Wang, Zhaoyu Chen, Jiawei Chen, Jinjie Wei, Lihua Zhang |
| 2025 | Decentralized Convergence to Equilibrium Prices in Trading Networks. Edwin Lock, Benjamin Patrick Evans, Eleonora Kreacic, Sujay Bhatt, Alec Koppel, Sumitra Ganesh, Paul W. Goldberg |
| 2025 | Decentralized Federated Learning with Model Caching on Mobile Agents. Xiaoyu Wang, Guojun Xiong, Houwei Cao, Jian Li, Yong Liu |
| 2025 | Decentralized Projected Riemannian Stochastic Recursive Momentum Method for Nonconvex Optimization. Kangkang Deng, Jiang Hu |
| 2025 | Decentralized and Uncoordinated Learning of Stable Matchings: A Game-Theoretic Approach. S. Rasoul Etesami, R. Srikant |
| 2025 | Decomposed Quadratization: Efficient QUBO Formulation for Learning Bayesian Network. Yuta Shikuri |
| 2025 | Decomposed Spatio-Temporal Mamba for Long-Term Traffic Prediction. Sicheng He, Junzhong Ji, Minglong Lei |
| 2025 | Decomposing and Fusing Intra- and Inter-Sensor Spatio-Temporal Signal for Multi-Sensor Wearable Human Activity Recognition. Haoyu Xie, Haoxuan Li, Chunyuan Zheng, Haonan Yuan, Guorui Liao, Jun Liao, Li Liu |
| 2025 | Deconfound Semantic Shift and Incompleteness in Incremental Few-shot Semantic Segmentation. Yirui Wu, Yuhang Xia, Hao Li, Lixin Yuan, Junyang Chen, Jun Liu, Tong Lu, Shaohua Wan |
| 2025 | Decoupled Policy Actor-Critic: Bridging Pessimism and Risk Awareness in Reinforcement Learning. Michal Nauman, Marek Cygan |
| 2025 | Decoupled Spatio-Temporal Consistency Learning for Self-Supervised Tracking. Yaozong Zheng, Bineng Zhong, Qihua Liang, Ning Li, Shuxiang Song |
| 2025 | Decoupling Appearance Variations with 3D Consistent Features in Gaussian Splatting. Jiaqi Lin, Zhihao Li, Binxiao Huang, Xiao Tang, Jianzhuang Liu, Shiyong Liu, Xiaofei Wu, Fenglong Song, Wenming Yang |
| 2025 | Decoupling Metacognition from Cognition: A Framework for Quantifying Metacognitive Ability in LLMs. Guoqing Wang, Wen Wu, Guangze Ye, Zhenxiao Cheng, Xi Chen, Hong Zheng |
| 2025 | Decoupling Scattering: Pseudo-Label Guided NeRF for Scenes with Scattering Media. Mingyang Zhang, Junkang Zhang, Faming Fang, Guixu Zhang |
| 2025 | Deep Disentangled Metric Learning. Jinhee Park, Jisoo Park, Dagyeong Na, Junseok Kwon |
| 2025 | Deep Evidential Hashing for Trustworthy Cross-Modal Retrieval. Yuan Li, Liangli Zhen, Yuan Sun, Dezhong Peng, Xi Peng, Peng Hu |
| 2025 | Deep Generative Model for Mechanical System Configuration Design. Yasaman Etesam, Hyunmin Cheong, Mohammadmehdi Ataei, Pradeep Kumar Jayaraman |
| 2025 | Deep Graph Online Hashing for Multi-Label Image Retrieval. Yuan Cao, Xiangru Chen, Zifan Liu, Wenzhe Jia, Fanlei Meng, Jie Gui |
| 2025 | Deep Hierarchies and Invariant Disease-Indicative Feature Learning for Computer Aided Diagnosis of Multiple Fundus Diseases. Yuxin Lin, Wei Wang, Xiaoling Luo, Zhihao Wu, Chengliang Liu, Jie Wen, Yong Xu |
| 2025 | Deep Hypergraph Neural Networks with Tight Framelets. Ming Li, Yujie Fang, Yi Wang, Han Feng, Yongchun Gu, Lu Bai, Pietro Liò |
| 2025 | Deep Implicit Imitation Reinforcement Learning in Heterogeneous Action Settings. Iason Chrysomallis, Georgios Chalkiadakis, Ioannis Papamichail, Markos Papageorgiou |
| 2025 | Deep Multi-modal Graph Clustering via Graph Transformer Network. Qianqian Wang, Haiming Xu, Zihao Zhang, Wei Feng, Quanxue Gao |
| 2025 | Deep Non-Rigid Structure-from-Motion Revisited: Canonicalization and Sequence Modeling. Hui Deng, Jiawei Shi, Zhen Qin, Yiran Zhong, Yuchao Dai |
| 2025 | Deep Rank-One Tensor Functional Factorization for Multi-Dimensional Data Recovery. Yanyi Li, Xi Zhang, Yisi Luo, Deyu Meng |
| 2025 | Deep Reinforcement Learning for Robotics: A Survey of Real-World Successes. Chen Tang, Ben Abbatematteo, Jiaheng Hu, Rohan Chandra, Roberto Martín-Martín, Peter Stone |
| 2025 | Deep Reinforcement Learning with Time-Scale Invariant Memory. Md Rysul Kabir, James Mochizuki-Freeman, Zoran Tiganj |
| 2025 | Deep Representation Learning for Forecasting Recursive and Multi-Relational Events in Temporal Networks. Tony Gracious, Ambedkar Dukkipati |
| 2025 | Deep Submodular Optimization and LLM for Multimodal Content Extraction and Automatic Poster Generation from Long Document. Vijay Jaisankar, Sambaran Bandyopadhyay, Kalp Vyas, Varre Suman Chaitanya, Shwetha Somasundaram |
| 2025 | Deep-Union Completion. Siddharth Baskar, Karan Vikyath Veeranna Rupashree, Daniel L. Pimentel-Alarcón |
| 2025 | DeepSN: A Sheaf Neural Framework for Influence Maximization. Asela Hevapathige, Qing Wang, Ahad N. Zehmakan |
| 2025 | Defeasible Visual Entailment: Benchmark, Evaluator, and Reward-Driven Optimization. Yue Zhang, Liqiang Jing, Vibhav Gogate |
| 2025 | Defending Against Sophisticated Poisoning Attacks with RL-based Aggregation in Federated Learning. Yujing Wang, Hainan Zhang, Sijia Wen, Wangjie Qiu, Binghui Guo |
| 2025 | Defense Against Model Stealing Based on Account-Aware Distribution Discrepancy. Jian-Ping Mei, Weibin Zhang, Jie Chen, Xuyun Zhang, Tiantian Zhu |
| 2025 | Dehaze-RetinexGAN: Real-World Image Dehazing via Retinex-based Generative Adversarial Network. Xinran Wang, Guang Yang, Tian Ye, Yun Liu |
| 2025 | Delay as Payoff in MAB. Ofir Schlisselberg, Ido Cohen, Tal Lancewicki, Yishay Mansour |
| 2025 | Denoising Diffusion Variational Inference: Diffusion Models as Expressive Variational Posteriors. Wasu Top Piriyakulkij, Yingheng Wang, Volodymyr Kuleshov |
| 2025 | Dense Audio-Visual Event Localization Under Cross-Modal Consistency and Multi-Temporal Granularity Collaboration. Ziheng Zhou, Jinxing Zhou, Wei Qian, Shengeng Tang, Xiaojun Chang, Dan Guo |
| 2025 | Densely Connected Parameter-Efficient Tuning for Referring Image Segmentation. Jiaqi Huang, Zunnan Xu, Ting Liu, Yong Liu, Haonan Han, Kehong Yuan, Xiu Li |
| 2025 | Densest k-Subgraph Mining via a Provably Tight Relaxation. Qiheng Lu, Nicholas D. Sidiropoulos, Aritra Konar |
| 2025 | DepMGNN: Matrixial Graph Neural Network for Video-based Automatic Depression Assessment. Zijian Wu, Leijing Zhou, Shuanglin Li, Changzeng Fu, Jun Lu, Jing Han, Yi Zhang, Zhuang Zhao, Siyang Song |
| 2025 | Depth-Centric Dehazing and Depth-Estimation from Real-World Hazy Driving Video. Junkai Fan, Kun Wang, Zhiqiang Yan, Xiang Chen, Shangbing Gao, Jun Li, Jian Yang |
| 2025 | DepthFM: Fast Generative Monocular Depth Estimation with Flow Matching. Ming Gui, Johannes Schusterbauer, Ulrich Prestel, Pingchuan Ma, Dmytro Kotovenko, Olga Grebenkova, Stefan Andreas Baumann, Vincent Tao Hu, Björn Ommer |
| 2025 | Descriptive and Discriminative Document Identifiers for Generative Retrieval. Jiehan Cheng, Zhicheng Dou, Yutao Zhu, Xiaoxi Li |
| 2025 | Design Principle Transfer in Neural Architecture Search via Large Language Models. Xun Zhou, Xingyu Wu, Liang Feng, Zhichao Lu, Kay Chen Tan |
| 2025 | Design and Evaluation of a Generative Artificial Intelligence-Based Tool for Students with Learning Disabilities in Kenya. G. Mercy Wairimu |
| 2025 | DesignEdit: Unify Spatial-Aware Image Editing via Training-free Inpainting with a Multi-Layered Latent Diffusion Framework. Yueru Jia, Aosong Cheng, Yuhui Yuan, Chuke Wang, Ji Li, Huizhu Jia, Shanghang Zhang |
| 2025 | Designing Ambiguity Sets for Distributionally Robust Optimization Using Structural Causal Optimal Transport. Ahmad-Reza Ehyaei, Golnoosh Farnadi, Samira Samadi |
| 2025 | Designing Characters with AI: An Art & AI Learning Activity. Safinah Arshad Ali, Sara Jakubowicz, Ayat Abodayeh, Amaan Zubairi, Dalal Aldossary, Cynthia Breazeal |
| 2025 | Designing Specialized Two-Dimensional Graph Spectral Filters for Spatial-Temporal Graph Modeling. Yuxin Chen, Fangru Lin, Jingyi Huo, Hui Yan |
| 2025 | Destroy and Repair Using Hyper-Graphs for Routing. Ke Li, Fei Liu, Zhenkun Wang, Qingfu Zhang |
| 2025 | DetRF: Detachable Novel Views Synthesis of Dynamic Scenes Using Backdrop-Driven Neural Radiance Fields. Boyu Zhang, Zheng Zhu, Wenbo Xu |
| 2025 | Detail Matters: Mamba-Inspired Joint Unfolding Network for Snapshot Spectral Compressive Imaging. Mengjie Qin, Yuchao Feng, Zongliang Wu, Yulun Zhang, Xin Yuan |
| 2025 | Details Enhancement in Unsigned Distance Field Learning for High-fidelity 3D Surface Reconstruction. Cheng Xu, Fei Hou, Wencheng Wang, Hong Qin, Zhebin Zhang, Ying He |
| 2025 | Detecting Music Performance Errors with Transformers. Benjamin Shiue-Hal Chou, Purvish Jajal, Nicholas John Eliopoulos, Tim Nadolsky, Cheng-Yun Yang, Nikita Ravi, James C. Davis, Kristen Yeon-Ji Yun, Yung-Hsiang Lu |
| 2025 | Detecting and Corrupting Convolution-based Unlearnable Examples. Minghui Li, Xianlong Wang, Zhifei Yu, Shengshan Hu, Ziqi Zhou, Longling Zhang, Leo Yu Zhang |
| 2025 | Detecting and Mitigating Hallucination in Large Vision Language Models via Fine-Grained AI Feedback. Wenyi Xiao, Ziwei Huang, Leilei Gan, Wanggui He, Haoyuan Li, Zhelun Yu, Fangxun Shu, Hao Jiang, Linchao Zhu |
| 2025 | Deterministic Policy Gradient Primal-Dual Methods for Continuous-Space Constrained MDPs. Sergio Rozada, Dongsheng Ding, Antonio G. Marques, Alejandro Ribeiro |
| 2025 | Developing Chatbots for Sustainability: Experiential Learning in an Undergraduate Business Course. Dailin Zheng, Yu Chen, Yee Kit Chan, Erica Lai, Leslie J. Albert |
| 2025 | Developing Generative Recommender Systems for Government Subsidy Pro-Grams with a New RQ-VAE Model: Wello & the Korean Government Case. Ji Won Kim, Jae Hong Park, Yuri Anna Kim, Sang Jun Lee |
| 2025 | Developing LLM-Powered Trustworthy Agents for Personalized Learning Support. Benyamin T. Tabarsi |
| 2025 | Developing Multimodal Healthcare Foundation Model: From Data-driven to Knowledge-enhanced. Xiaochen Wang |
| 2025 | Developing a Postgraduate Program for AI in Medicine with Kern's Six-Step Curriculum Development Approach in Singapore. Chang Cai, Michelle Jong, Yih Yng Ng, Jo-Anne Elizabeth Manski-Nankervis, Kum Ying Tham, Preman Rajalingam, Boon Keong Ang, Jennifer Anne Cleland, Joseph Sung, Xiuyi Fan |
| 2025 | Deviate or Not: Learning Coalition Structures with Multiple-bit Observations in Games. Yixuan Even Xu, Zhe Feng, Fei Fang |
| 2025 | DiCA: Disambiguated Contrastive Alignment for Cross-Modal Retrieval with Partial Labels. Chao Su, Huiming Zheng, Dezhong Peng, Xu Wang |
| 2025 | DiMSOD: A Diffusion-Based Framework for Multi-Modal Salient Object Detection. Shuo Zhang, Jiaming Huang, Wenbing Tang, Yan Wu, Terrence Hu, Xiaogang Xu, Jing Liu |
| 2025 | DiT4Edit: Diffusion Transformer for Image Editing. Kunyu Feng, Yue Ma, Bingyuan Wang, Chenyang Qi, Haozhe Chen, Qifeng Chen, Zeyu Wang |
| 2025 | DialogDraw: Image Generation and Editing System Based on Multi-Turn Dialogue. Shichao Ma, Xinfeng Zhang, Zeng Zhao, Bai Liu, Changjie Fan, Zhipeng Hu |
| 2025 | Diff-Shadow: Global-guided Diffusion Model for Shadow Removal. Jinting Luo, Ru Li, Chengzhi Jiang, Xiaoming Zhang, Mingyan Han, Ting Jiang, Haoqiang Fan, Shuaicheng Liu |
| 2025 | DiffCLIP: Few-shot Language-driven Multimodal Classifier. Jiaqing Zhang, Mingxiang Cao, Xue Yang, Kai Jiang, Yunsong Li |
| 2025 | DiffCalib: Reformulating Monocular Camera Calibration as Diffusion-Based Dense Incident Map Generation. Xiankang He, Guangkai Xu, Bo Zhang, Hao Chen, Ying Cui, Dongyan Guo |
| 2025 | DiffCorr: Conditional Diffusion Model with Reliable Pseudo-Label Guidance for Unsupervised Point Cloud Shape Correspondence. Jiacheng Deng, Jiahao Lu, Zhixin Cheng, Wenfei Yang |
| 2025 | DiffDVC: Accurate Event Detection for Dense Video Captioning via Diffusion Models. Wei Chen, Jianwei Niu, Xuefeng Liu, Zhendong Wang, Shaojie Tang, Guogang Zhu |
| 2025 | DiffExp: Efficient Exploration in Reward Fine-tuning for Text-to-Image Diffusion Models. Daewon Chae, June Suk Choi, Jinkyu Kim, Kimin Lee |
| 2025 | DiffGrasp: Whole-Body Grasping Synthesis Guided by Object Motion Using a Diffusion Model. Yonghao Zhang, Qiang He, Yanguang Wan, Yinda Zhang, Xiaoming Deng, Cuixia Ma, Hongan Wang |
| 2025 | DiffIM: Differentiable Influence Minimization with Surrogate Modeling and Continuous Relaxation. Junghun Lee, Hyunju Kim, Fanchen Bu, Jihoon Ko, Kijung Shin |
| 2025 | DiffRetouch: Using Diffusion to Retouch on the Shoulder of Experts. Zheng-Peng Duan, Jiawei Zhang, Zheng Lin, Xin Jin, Xundong Wang, Dongqing Zou, Chun-Le Guo, Chongyi Li |
| 2025 | DiffScene: Diffusion-Based Safety-Critical Scenario Generation for Autonomous Vehicles. Chejian Xu, Aleksandr Petiushko, Ding Zhao, Bo Li |
| 2025 | Differentiable Adversarial Attacks for Marked Temporal Point Processes. Pritish Chakraborty, Vinayak Gupta, Rahul R, Srikanta J. Bedathur, Abir De |
| 2025 | Differentiable Information Enhanced Model-Based Reinforcement Learning. Xiaoyuan Zhang, Xinyan Cai, Bo Liu, Weidong Huang, Song-Chun Zhu, Siyuan Qi, Yaodong Yang |
| 2025 | Differential Alignment for Domain Adaptive Object Detection. Xinyu He, Xinhui Li, Xiaojie Guo |
| 2025 | Differential Private Stochastic Optimization with Heavy-tailed Data: Towards Optimal Rates. Puning Zhao, Jiafei Wu, Zhe Liu, Chong Wang, Rongfei Fan, Qingming Li |
| 2025 | Differentially Private Prototypes for Imbalanced Transfer Learning. Dariush Wahdany, Matthew Jagielski, Adam Dziedzic, Franziska Boenisch |
| 2025 | Difficulty-aware Balancing Margin Loss for Long-tailed Recognition. Minseok Son, Inyong Koo, Jinyoung Park, Changick Kim |
| 2025 | DiffuseHigh: Training-Free Progressive High-Resolution Image Synthesis Through Structure Guidance. Younghyun Kim, Geunmin Hwang, Junyu Zhang, Eunbyung Park |
| 2025 | Diffusion Model Patching via Mixture-of-Prompts. Seokil Ham, Sangmin Woo, Jin-Young Kim, Hyojun Go, Byeongjun Park, Changick Kim |
| 2025 | Diffusion Models for Attribution. Xiongren Chen, Jiuyong Li, Jixue Liu, Lin Liu, Stefan Peters, Thuc Duy Le, Wentao Gao, Xiaojing Du, Anthony Walsh |
| 2025 | Diffusion Models for Robotics. Jessica E. Liang |
| 2025 | Diffusion Prior Interpolation for Flexibility Real-World Face Super-Resolution. Jiarui Yang, Tao Dai, Yufei Zhu, Naiqi Li, Jinmin Li, Shu-Tao Xia |
| 2025 | Diffusion-Based Active Learning for Distributed Client Manifolds. Kwang In Kim |
| 2025 | Diffusion-based Semantic Outlier Generation via Nuisance Awareness for Out-of-Distribution Detection. Suhee Yoon, Sanghyu Yoon, Ye Seul Sim, Sungik Choi, Kyungeun Lee, Hye-Seung Cho, Hankook Lee, Woohyung Lim |
| 2025 | Diffusion-based Synthetic Data Generation for Visible-Infrared Person Re-Identification. Wenbo Dai, Lijing Lu, Zhihang Li |
| 2025 | DiffusionREC: Diffusion Model with Adaptive Condition for Referring Expression Comprehension. Jingcheng Ke, Waikeung Wong, Jia Wang, Mu Li, Lunke Fei, Jie Wen |
| 2025 | Digging into Intrinsic Contextual Information for High-fidelity 3D Point Cloud Completion. Jisheng Chu, Wenrui Li, Xingtao Wang, Kanglin Ning, Yidan Lu, Xiaopeng Fan |
| 2025 | DigitalLLaVA: Incorporating Digital Cognition Capability for Physical World Comprehension in Multimodal LLMs. Shiyu Li, Pengxu Wei, Pengchong Qiao, Chang Liu, Jie Chen |
| 2025 | Dimension Reduction for Symbolic Regression. Paul Kahlmeyer, Markus Fischer, Joachim Giesen |
| 2025 | Dimension Reduction with Locally Adjusted Graphs. Yingfan Wang, Yiyang Sun, Haiyang Huang, Cynthia Rudin |
| 2025 | Direct Routing Gradient (DRGrad): A Personalized Information Surgery for Multi-Task Learning (MTL) Recommendations. Yuguang Liu, Yiyun Miao, Luyao Xia |
| 2025 | DisCo-DSO: Coupling Discrete and Continuous Optimization for Efficient Generative Design in Hybrid Spaces. Jacob F. Pettit, Chak Shing Lee, Jiachen Yang, Alex Ho, Daniel M. Faissol, Brenden K. Petersen, Mikel Landajuela |
| 2025 | DisCo: Graph-Based Disentangled Contrastive Learning for Cold-Start Cross-Domain Recommendation. Hourun Li, Yifan Wang, Zhiping Xiao, Jia Yang, Changling Zhou, Ming Zhang, Wei Ju |
| 2025 | Discovering Conceptual Knowledge with Analytic Ontology Templates for Articulated Objects. Jianhua Sun, Yuxuan Li, Longfei Xu, Jiude Wei, Liang Chai, Cewu Lu |
| 2025 | Discovering Options That Minimize Average Planning Time. Alexander Ivanov, Akhil Bagaria, George Konidaris |
| 2025 | Discovering Symmetries of ODEs by Symbolic Regression. Paul Kahlmeyer, Niklas Merk, Joachim Giesen |
| 2025 | Discrete Curvature Graph Information Bottleneck. Xingcheng Fu, Jian Wang, Yisen Gao, Qingyun Sun, Haonan Yuan, Jianxin Li, Xianxian Li |
| 2025 | Discrete Prior-Based Temporal-Coherent Content Prediction for Blind Face Video Restoration. Lianxin Xie, Bingbing Zheng, Wen Xue, Yunfei Zhang, Le Jiang, Ruotao Xu, Si Wu, Hau-San Wong |
| 2025 | Disentangle Nighttime Lens Flares: Self-supervised Generation-based Lens Flare Removal. Yuwen He, Wei Wang, Wanyu Wu, Kui Jiang |
| 2025 | Disentangled Contrastive Bundle Recommendation with Conditional Diffusion. Jiuqiang Li |
| 2025 | Disentangled Modeling of Preferences and Social Influence for Group Recommendation. Guangze Ye, Wen Wu, Guoqing Wang, Xi Chen, Hong Zheng, Liang He |
| 2025 | Disentangled Motion Modeling for Video Frame Interpolation. Jaihyun Lew, Jooyoung Choi, Chaehun Shin, Dahuin Jung, Sungroh Yoon |
| 2025 | Disentangled Table-Graph Representation for Interpretable Transmission Line Fault Location. Na Yu, Yutong Deng, Shunyu Liu, Kaixuan Chen, Tongya Zheng, Mingli Song |
| 2025 | Disentangling Long-Short Term State Under Unknown Interventions for Online Time Series Forecasting. Ruichu Cai, Haiqin Huang, Zhifan Jiang, Zijian Li, Changze Zhou, Yuequn Liu, Yuming Liu, Zhifeng Hao |
| 2025 | Disentangling Tabular Data Towards Better One-Class Anomaly Detection. Jianan Ye, Zhaorui Tan, Yijie Hu, Xi Yang, Guangliang Cheng, Kaizhu Huang |
| 2025 | Disentangling, Amplifying, and Debiasing: Learning Disentangled Representations for Fair Graph Neural Networks. Yeon-Chang Lee, Hojung Shin, Sang-Wook Kim |
| 2025 | Distances Between Top-Truncated Elections of Different Sizes. Piotr Faliszewski, Jitka Mertlová, Pierre Nunn, Stanislaw Szufa, Tomasz Was |
| 2025 | Distilling Knowledge from Heterogeneous Architectures for Semantic Segmentation. Yanglin Huang, Kai Hu, Yuan Zhang, Zhineng Chen, Xieping Gao |
| 2025 | Distilling Structured Rationale from Large Language Models to Small Language Models for Abstractive Summarization. Linyong Wang, Lianwei Wu, Shaoqi Song, Yaxiong Wang, Cuiyun Gao, Kang Wang |
| 2025 | Distribution-Consistency-Guided Multi-modal Hashing. Jin-Yu Liu, Xian-Ling Mao, Tian-Yi Che, Rong-Cheng Tu |
| 2025 | Distribution-Driven Dense Retrieval: Modeling Many-to-One Query-Document Relationship. Junfeng Kang, Rui Li, Qi Liu, Zhenya Huang, Zheng Zhang, Yanjiang Chen, Linbo Zhu, Yu Su |
| 2025 | Distribution-Free Uncertainty Quantification in Mechanical Ventilation Treatment: A Conformal Deep Q-Learning Framework. Niloufar Eghbali, Tuka Alhanai, Mohammad M. Ghassemi |
| 2025 | Distribution-Level Feature Distancing for Machine Unlearning: Towards a Better Trade-off Between Model Utility and Forgetting. Dasol Choi, Dongbin Na |
| 2025 | Distributionally Robust Policy Evaluation and Learning for Continuous Treatment with Observational Data. Cheuk Hang Leung, Yiyan Huang, Yijun Li, Qi Wu |
| 2025 | Dis²Booth: Learning Image Distribution with Disentangled Features for Text-to-Image Diffusion Models. Guanqi Ding, Chengyu Yang, Shuhui Wang, Xincheng Li, Jinzhe Zhang, Xin Jin, Qingming Huang |
| 2025 | DivGCL: A Graph Contrastive Learning Model for Diverse Recommendation. Wenwen Gong, Yangliao Geng, Dan Zhang, Yifan Zhu, Xiaolong Xu, Haolong Xiang, Amin Beheshti, Xuyun Zhang, Lianyong Qi |
| 2025 | DivShift: Exploring Domain-Specific Distribution Shifts in Large-Scale, Volunteer-Collected Biodiversity Datasets. Elena Sierra, Lauren E. Gillespie, Salim Soltani, Moisés Expósito-Alonso, Teja Kattenborn |
| 2025 | Dive into Aerial Remote Sensing Underwater Depth Estimation with Hyperspectral Imagery. Jiahao Qi, Xingyue Liu, Chen Chen, Dehui Zhu, Kangcheng Bin, Ping Zhong |
| 2025 | DiveR-CT: Diversity-enhanced Red Teaming Large Language Model Assistants with Relaxing Constraints. Andrew Zhao, Quentin Xu, Matthieu Lin, Shenzhi Wang, Yong-Jin Liu, Zilong Zheng, Gao Huang |
| 2025 | DiverSAT: A Novel and Effective Local Search Algorithm for Diverse SAT Problem. Jiaxin Liang, Junping Zhou, Minghao Yin |
| 2025 | Diverse Rare Sample Generation with Pretrained GANs. SuBeen Lee, Jiyeon Han, Soyeon Kim, Jaesik Choi |
| 2025 | Diversifying Query: Region-Guided Transformer for Temporal Sentence Grounding. Xiaolong Sun, Liushuai Shi, Le Wang, Sanping Zhou, Kun Xia, Yabing Wang, Gang Hua |
| 2025 | Divide, Conquer and Combine: A Training-Free Framework for High-Resolution Image Perception in Multimodal Large Language Models. Wenbin Wang, Liang Ding, Minyan Zeng, Xiabin Zhou, Li Shen, Yong Luo, Wei Yu, Dacheng Tao |
| 2025 | Divide-Solve-Combine: An Interpretable and Accurate Prompting Framework for Zero-shot Multi-Intent Detection. Libo Qin, Qiguang Chen, Jingxuan Zhou, Jin Wang, Hao Fei, Wanxiang Che, Min Li |
| 2025 | Divide-and-Conquer: Tree-structured Strategy with Answer Distribution Estimator for Goal-Oriented Visual Dialogue. Shuo Cai, Xinzhe Han, Shuhui Wang |
| 2025 | Do Not DeepFake Me: Privacy-Preserving Neural 3D Head Reconstruction Without Sensitive Images. Jiayi Kong, Xurui Song, Shuo Huai, Baixin Xu, Jun Luo, Ying He |
| 2025 | Do Transformer Interpretability Methods Transfer to RNNs? Gonçalo Paulo, Thomas Marshall, Nora Belrose |
| 2025 | DoGA: Enhancing Grounded Object Detection via Grouped Pre-Training with Attributes. Yang Liu, Feng Hou, Yunjie Peng, Gangjian Zhang, Yao Zhang, Dong Xie, Peng Wang, Yang Zhang, Jiang Tian, Zhongchao Shi, Jianping Fan, Zhiqiang He |
| 2025 | DocKylin: A Large Multimodal Model for Visual Document Understanding with Efficient Visual Slimming. Jiaxin Zhang, Wentao Yang, Songxuan Lai, Zecheng Xie, Lianwen Jin |
| 2025 | DocMamba: Efficient Document Pre-training with State Space Model. Pengfei Hu, Zhenrong Zhang, Jiefeng Ma, Shuhang Liu, Jun Du, Jianshu Zhang |
| 2025 | Does GCL Need a Large Number of Negative Samples? Enhancing Graph Contrastive Learning with Effective and Efficient Negative Sampling. Yongqi Huang, Jitao Zhao, Dongxiao He, Di Jin, Yuxiao Huang, Zhen Wang |
| 2025 | Does GPT Really Get It? A Hierarchical Scale to Quantify Human and AI's Understanding of Algorithms. Mirabel Reid, Santosh S. Vempala |
| 2025 | Does Knowing More Make You Easier to Trick? Adversarial Robustness of Multi-Target Regression. Soyon Choi |
| 2025 | Does VLM Classification Benefit from LLM Description Semantics? Pingchuan Ma, Lennart Rietdorf, Dmytro Kotovenko, Vincent Tao Hu, Björn Ommer |
| 2025 | Does Your AI Agent Get You? A Personalizable Framework for Approximating Human Models from Argumentation-based Dialogue Traces. Yinxu Tang, Stylianos Loukas Vasileiou, William Yeoh |
| 2025 | DomCLP: Domain-wise Contrastive Learning with Prototype Mixup for Unsupervised Domain Generalization. Jin-Seop Lee, Noo-Ri Kim, Jee-Hyong Lee |
| 2025 | Domain Adaptive Unfolded Graph Neural Networks. Zepeng Zhang, Olga Fink |
| 2025 | Domain Generalized Medical Landmark Detection via Robust Boundary-Aware Pre-Training. Haifan Gong, Yu Lu, Xiang Wan, Haofeng Li |
| 2025 | Domain-Informed Label Fusion Surpasses LLMs in Free-Living Activity Classification (Student Abstract). Shovito Barua Soumma, Abdullah Mamun, Hassan Ghasemzadeh |
| 2025 | Domain-Level Disentanglement Framework Based on Information Enhancement for Cross-Domain Cold-Start Recommendation. Nian Rong, Fei Xiong, Shirui Pan, Guixun Luo, Jia Wu, Liang Wang |
| 2025 | Don't Think It Twice: Exploit Shift Invariance for Efficient Online Streaming Inference of CNNs. Christodoulos Kechris, Jonathan Dan, José Miranda, David Atienza |
| 2025 | Doubly Contrastive Learning for Source-Free Domain Adaptive Person Search. Yizhen Jia, Rong Quan, Yue Feng, Haiyan Chen, Jie Qin |
| 2025 | Doubly-Bounded Queue for Constrained Online Learning: Keeping Pace with Dynamics of Both Loss and Constraint. Juncheng Wang, Bingjie Yan, Yituo Liu |
| 2025 | Dr. Tongue: Sign-Oriented Multi-label Detection for Remote Tongue Diagnosis. Yiliang Chen, Steven SC Ho, Cheng Xu, Yao Jie Xie, Wing-Fai Yeung, Shengfeng He, Jing Qin |
| 2025 | Drawing Informative Gradients from Sources: A One-stage Transfer Learning Framework for Cross-city Spatiotemporal Forecasting. Yudong Zhang, Xu Wang, Xuan Yu, Zhaoyang Sun, Kai Wang, Yang Wang |
| 2025 | DreaMark: Rooting Watermark in Score Distillation Sampling Generated Neural Radiance Fields. Xingyu Zhu, Xiapu Luo, Xuetao Wei |
| 2025 | DreamAlign: Dynamic Text-to-3D Optimization with Human Preference Alignment. Gaofeng Liu, Zhiyuan Ma, Tao Fang |
| 2025 | DreamFit: Garment-Centric Human Generation via a Lightweight Anything-Dressing Encoder. Ente Lin, Xujie Zhang, Fuwei Zhao, Yuxuan Luo, Xin Dong, Long Zeng, Xiaodan Liang |
| 2025 | DreamPhysics: Learning Physics-Based 3D Dynamics with Video Diffusion Priors. Tianyu Huang, Haoze Zhang, Yihan Zeng, Zhilu Zhang, Hui Li, Wangmeng Zuo, Rynson W. H. Lau |
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| 2025 | DriveGazen: Event-Based Driving Status Recognition Using Conventional Camera. Xiaoyin Yang, Xin Yang |
| 2025 | Driving in the Occupancy World: Vision-Centric 4D Occupancy Forecasting and Planning via World Models for Autonomous Driving. Yu Yang, Jianbiao Mei, Yukai Ma, Siliang Du, Wenqing Chen, Yijie Qian, Yuxiang Feng, Yong Liu |
| 2025 | DrivingForward: Feed-forward 3D Gaussian Splatting for Driving Scene Reconstruction from Flexible Surround-view Input. Qijian Tian, Xin Tan, Yuan Xie, Lizhuang Ma |
| 2025 | Drop the Beat! Freestyler for Accompaniment Conditioned Rapping Voice Generation. Ziqian Ning, Shuai Wang, Yuepeng Jiang, Jixun Yao, Lei He, Shifeng Pan, Jie Ding, Lei Xie |
| 2025 | DroughtSet: Understanding Drought Through Spatial-Temporal Learning. Xuwei Tan, Qian Zhao, Yanlan Liu, Xueru Zhang |
| 2025 | DrugHash: Hashing Based Contrastive Learning for Virtual Screening. Jin Han, Yun Hong, Wu-Jun Li |
| 2025 | DuMo: Dual Encoder Modulation Network for Precise Concept Erasure. Feng Han, Kai Chen, Chao Gong, Zhipeng Wei, Jingjing Chen, Yu-Gang Jiang |
| 2025 | DuSSS: Dual Semantic Similarity-Supervised Vision-Language Model for Semi-Supervised Medical Image Segmentation. Qingtao Pan, Wenhao Qiao, Jingjiao Lou, Bing Ji, Shuo Li |
| 2025 | Dual Conditioned Motion Diffusion for Pose-Based Video Anomaly Detection. Hongsong Wang, Andi Xu, Pinle Ding, Jie Gui |
| 2025 | Dual Information Purification for Lightweight SAR Object Detection. Xi Yang, Jiachen Sun, Songsong Duan, De Cheng |
| 2025 | Dual Manifold Regularization Steered Robust Representation Learning for Point Cloud Analysis. Jian Bi, Qianliang Wu, Jianjun Qian, Lei Luo, Jian Yang |
| 2025 | Dual-Channel Interactive Graph Transformer for Traffic Classification with Message-Aware Flow Representation. Xing Qiu, Guang Cheng, Weizhou Zhu, Dandan Niu, Nan Fu |
| 2025 | Dual-Level Precision Edges Guided Multi-View Stereo with Accurate Planarization. Kehua Chen, Zhenlong Yuan, Tianlu Mao, Zhaoqi Wang |
| 2025 | Dual-View Interaction-Aware Lane Change Prediction for Autonomous Driving. Yuhuan Lu, Zhen Zhang, Rufan Bai, Han Liu, Wei Wang |
| 2025 | Dual-View Learning for Conversational Emotion Recognition Through Context and Emotion-Shift Modeling. Xupeng Zha, Huan Zhao, Guanghui Ye, Zixing Zhang |
| 2025 | Dual-branch Graph Feature Learning for NLOS Imaging. Xiongfei Su, Tianyi Zhu, Lina Liu, Zheng Chen, Yulun Zhang, Siyuan Li, Juntian Ye, Feihu Xu, Xin Yuan |
| 2025 | Dual-calibrated Co-training Framework for Personalized Federated Semi-Supervised Medical Image Segmentation. Delin Pan, Jiansong Fan, Jie Zhu, Llihua Li, Xiang Pan |
| 2025 | DualCP: Rehearsal-Free Domain-Incremental Learning via Dual-Level Concept Prototype. Qiang Wang, Yuhang He, Songlin Dong, Xiang Song, Jizhou Han, Haoyu Luo, Yihong Gong |
| 2025 | DualDynamics: Synergizing Implicit and Explicit Methods for Robust Irregular Time Series Analysis. YongKyung Oh, Dong-Young Lim, Sungil Kim |
| 2025 | DualGFL: Federated Learning with a Dual-Level Coalition-Auction Game. Xiaobing Chen, Xiangwei Zhou, Songyang Zhang, Mingxuan Sun |
| 2025 | DualNet: Robust Self-Supervised Stereo Matching with Pseudo-Label Supervision. Yun Wang, Jiahao Zheng, Chenghao Zhang, Zhanjie Zhang, Kunhong Li, Yongjian Zhang, Junjie Hu |
| 2025 | DualOpt: A Dual Divide-and-Optimize Algorithm for the Large-scale Traveling Salesman Problem. Shipei Zhou, Yuandong Ding, Chi Zhang, Zhiguang Cao, Yan Jin |
| 2025 | Dung's Argumentation Framework: Unveiling the Expressive Power with Inconsistent Databases. Yasir Mahmood, Markus Hecher, Axel-Cyrille Ngonga Ngomo |
| 2025 | Dust-Mamba: An Efficient Dust Storm Detection Network with Multiple Data Sources. Cong Bai, Zhonghao Lin, Jinglin Zhang, Shengyong Chen |
| 2025 | DutyTTE: Deciphering Uncertainty in Origin-Destination Travel Time Estimation. Xiaowei Mao, Yan Lin, Shengnan Guo, Yubin Chen, Xingyu Xian, Haomin Wen, Qisen Xu, Youfang Lin, Huaiyu Wan |
| 2025 | DynASyn: Multi-Subject Personalization Enabling Dynamic Action Synthesis. Yongjin Choi, Chanhun Park, Seung Jun Baek |
| 2025 | Dynamic Adapter with Semantics Disentangling for Cross-lingual Cross-modal Retrieval. Rui Cai, Zhiyu Dong, Jianfeng Dong, Xun Wang |
| 2025 | Dynamic Algorithm Termination for Branch-and-Bound-based Neural Network Verification. Konstantin Kaulen, Matthias König, Holger H. Hoos |
| 2025 | Dynamic Back-Substitution in Bound-Propagation-Based Neural Network Verification. Panagiotis Kouvaros, Benedikt Brückner, Patrick Henriksen, Alessio Lomuscio |
| 2025 | Dynamic Clustering Convolutional Neural Network. Tanzhe Li, Baochang Zhang, Jiayi Lyu, Xiawu Zheng, Guodong Guo, Taisong Jin |
| 2025 | Dynamic Contrastive Knowledge Distillation for Efficient Image Restoration. Yunshuai Zhou, Junbo Qiao, Jincheng Liao, Wei Li, Simiao Li, Jiao Xie, Yunhang Shen, Jie Hu, Shaohui Lin |
| 2025 | Dynamic Entity-Masked Graph Diffusion Model for Histopathology Image Representation Learning. Zhenfeng Zhuang, Min Cen, Yanfeng Li, Fangyu Zhou, Lequan Yu, Baptiste Magnier, Liansheng Wang |
| 2025 | Dynamic Expansion Diffusion Learning for Lifelong Generative Modelling. Fei Ye, Adrian G. Bors, Kun Zhang |
| 2025 | Dynamic Graph Learning with Static Relations for Credit Risk Assessment. Qi Yuan, Yang Liu, Yateng Tang, Xinhuan Chen, Xuehao Zheng, Qing He, Xiang Ao |
| 2025 | Dynamic Interactive Bimodal Hypergraph Networks for Emotion Recognition in Conversations. Xuping Chen, Wuzhen Shi |
| 2025 | Dynamic Multi-Interest Graph Neural Network for Session-Based Recommendation. Mingyang Lv, Xiangfeng Liu, Yuanbo Xu |
| 2025 | Dynamic Neighborhood Modeling via Node-Subgraph Contrastive Learning for Graph-Based Fraud Detection. Zhizhi Yu, Chundong Liang, Xinglong Chang, Dongxiao He, Di Jin, Jianguo Wei |
| 2025 | Dynamic Operator Optimization for Efficient Multi-Tenant LoRA Model Serving. Changhai Zhou, Yuhua Zhou, Shiyang Zhang, Yibin Wang, Zekai Liu |
| 2025 | Dynamic Spectral Graph Anomaly Detection. Jianbo Zheng, Chao Yang, Tairui Zhang, Longbing Cao, Bin Jiang, Xuhui Fan, Xiao-Ming Wu, Xianxun Zhu |
| 2025 | Dynamic Syntactic Feature Filtering and Injecting Networks for Cross-lingual Dependency Parsing. Jianjian Liu, Zhengtao Yu, Ying Li, Yuxin Huang, Shengxiang Gao |
| 2025 | Dynamic Target Distribution Estimation for Source-Free Open-Set Domain Adaptation. Zhiqi Yu, Zhichao Liao, Jingjing Li, Zhi Chen, Lei Zhu |
| 2025 | Dynamic Uncertainty Estimation for Offline Reinforcement Learning. Jiesheng Wang, Lin Li, Wei Wei, Yujia Zhang, Xin Yang |
| 2025 | Dynamic-Width Speculative Beam Decoding for LLM Inference. Zongyue Qin, Zifan He, Neha Prakriya, Jason Cong, Yizhou Sun |
| 2025 | Dynamics-Based Feature Augmentation of Graph Neural Networks for Variant Emergence Prediction. Majd Al Aawar, Srikar Mutnuri, Mansooreh Montazerin, Ajitesh Srivastava |
| 2025 | E4: Energy-Efficient DNN Inference for Edge Video Analytics via Early Exiting and DVFS. Ziyang Zhang, Yang Zhao, Ming-Ching Chang, Changyao Lin, Jie Liu |
| 2025 | EBBS: An Ensemble with Bi-Level Beam Search for Zero-Shot Machine Translation. Yuqiao Wen, Behzad Shayegh, Chenyang Huang, Yanshuai Cao, Lili Mou |
| 2025 | EBS-CFL: Efficient and Byzantine-robust Secure Clustered Federated Learning. Zhiqiang Li, Haiyong Bao, Menghong Guan, Hao Pan, Cheng Huang, Hong-Ning Dai |
| 2025 | ECLAIR: Enhanced Clarification for Interactive Responses in an Enterprise AI Assistant. John Murzaku, Zifan Liu, Vaishnavi Muppala, Md. Mehrab Tanjim, Xiang Chen, Yunyao Li |
| 2025 | ECLAIR: Enhanced Clarification for Interactive Responses. John Murzaku, Zifan Liu, Md. Mehrab Tanjim, Vaishnavi Muppala, Xiang Chen, Yunyao Li |
| 2025 | EDENet: Echo Direction Encoding Network for Place Recognition Based on Ground Penetrating Radar. Pengyu Zhang, Xieyuanli Chen, Yuwei Chen, Beizhen Bi, Zhuo Xu, Tian Jin, Xiaotao Huang, Liang Shen |
| 2025 | EDGE: Unknown-aware Multi-label Learning by Energy Distribution Gap Expansion. Yuchen Sun, Qianqian Xu, Zitai Wang, Zhiyong Yang, Junwei He |
| 2025 | EF2X Exists for Four Agents. Arash Ashuri, Vasilis Gkatzelis, Alkmini Sgouritsa |
| 2025 | EFSkip: A New Error Feedback with Linear Speedup for Compressed Federated Learning with Arbitrary Data Heterogeneity. Hongyan Bao, Pengwen Chen, Ying Sun, Zhize Li |
| 2025 | EGSRAL: An Enhanced 3D Gaussian Splatting Based Renderer with Automated Labeling for Large-Scale Driving Scene. Yixiong Huo, Guangfeng Jiang, Hongyang Wei, Ji Liu, Song Zhang, Han Liu, Xingliang Huang, Mingjie Lu, Jinzhang Peng, Dong Li, Lu Tian, Emad Barsoum |
| 2025 | ELDER: Enhancing Lifelong Model Editing with Mixture-of-LoRA. Jiaang Li, Quan Wang, Zhongnan Wang, Yongdong Zhang, Zhendong Mao |
| 2025 | ELLA-V: Stable Neural Codec Language Modeling with Alignment-Guided Sequence Reordering. Yakun Song, Zhuo Chen, Xiaofei Wang, Ziyang Ma, Xie Chen |
| 2025 | EMControl: Adding Conditional Control to Text-to-Image Diffusion Models via Expectation-Maximization. He Wang, Longquan Dai, Jinhui Tang |
| 2025 | EMHI: A Multimodal Egocentric Human Motion Dataset with HMD and Body-Worn IMUs. Zhen Fan, Peng Dai, Zhuo Su, Xu Gao, Zheng Lv, Jiarui Zhang, Tianyuan Du, Guidong Wang, Yang Zhang |
| 2025 | EMPLACE: Self-Supervised Urban Scene Change Detection. Tim Alpherts, Sennay Ghebreab, Nanne van Noord |
| 2025 | ENCODER: Entity Mining and Modification Relation Binding for Composed Image Retrieval. Zixu Li, Zhiwei Chen, Haokun Wen, Zhiheng Fu, Yupeng Hu, Weili Guan |
| 2025 | END^2: Robust Dual-Decoder Watermarking Framework Against Non-Differentiable Distortions. Nan Sun, Han Fang, Yuxing Lu, Chengxin Zhao, Hefei Ling |
| 2025 | EOV-Seg: Efficient Open-Vocabulary Panoptic Segmentation. Hongwei Niu, Jie Hu, Jianghang Lin, Guannan Jiang, Shengchuan Zhang |
| 2025 | EPERM: An Evidence Path Enhanced Reasoning Model for Knowledge Graph Question and Answering. Xiao Long, Liansheng Zhuang, Aodi Li, Minghong Yao, Shafei Wang |
| 2025 | EPT: Efficient Prompt Tuning by Multi-Space Projection and Prompt Fusion. Pengxiang Lan, Enneng Yang, Yuting Liu, Guibing Guo, Jianzhe Zhao, Xingwei Wang |
| 2025 | ERCI: An Explainable Experience Replay Approach with Causal Inference for Deep Reinforcement Learning. Jingwen Wang, Dehui Du, Lili Tian, Yikang Chen, Yida Li, Yiyang Li |
| 2025 | ERF: A Benchmark Dataset for Robust Semantic Segmentation Under Extreme Rainfall Conditions. Xin Yang, Xin Zhang, Xinchao Wang |
| 2025 | ERFSL: An Efficient Reward Function Searcher via Large Language Models for Custom-Environment Multi-Objective Reinforcement Learning (Student Abstract). Guanwen Xie, Jingzehua Xu, Yiyuan Yang, Yimian Ding, Shuai Zhang |
| 2025 | ERL-MPP: Evolutionary Reinforcement Learning with Multi-head Puzzle Perception for Solving Large-scale Jigsaw Puzzles of Eroded Gaps. Xingke Song, Xiaoying Yang, Chenglin Yao, Jianfeng Ren, Ruibin Bai, Xin Chen, Xudong Jiang |
| 2025 | ESEG: Event-Based Segmentation Boosted by Explicit Edge-Semantic Guidance. Yucheng Zhao, Gengyu Lyu, Ke Li, Zihao Wang, Hao Chen, Zhen Yang, Yongjian Deng |
| 2025 | ESPRESSO: An Effective Approach to Passage Retrieval for High-Quality Conversational Recommender Systems. Taeho Kim, Hyeongjun Jang, Juwon Yu, Taeuk Kim, Hyunyoung Lee, Ji-Hui Im, Sang-Wook Kim |
| 2025 | EWMoE: An Effective Model for Global Weather Forecasting with Mixture-of-Experts. Lihao Gan, Xin Man, Chenghong Zhang, Jie Shao |
| 2025 | EXCGEC: A Benchmark for Edit-Wise Explainable Chinese Grammatical Error Correction. Jingheng Ye, Shang Qin, Yinghui Li, Xuxin Cheng, Libo Qin, Hai-Tao Zheng, Ying Shen, Peng Xing, Zishan Xu, Guo Cheng, Wenhao Jiang |
| 2025 | Each Fake News Is Fake in Its Own Way: An Attribution Multi-Granularity Benchmark for Multimodal Fake News Detection. Hao Guo, Zihan Ma, Zhi Zeng, Minnan Luo, Weixin Zeng, Jiuyang Tang, Xiang Zhao |
| 2025 | Early Concept Drift Detection via Prediction Uncertainty. Pengqian Lu, Jie Lu, Anjin Liu, Guangquan Zhang |
| 2025 | EchoDiffusion: Waveform Conditioned Diffusion Models for Echo-Based Depth Estimation. Wenjie Zhang, Jun Yin, Long Ma, Peng Yu, Xiaoheng Jiang, Zhen Tian, Mingliang Xu |
| 2025 | EchoMimic: Lifelike Audio-Driven Portrait Animations through Editable Landmark Conditions. Zhiyuan Chen, Jiajiong Cao, Zhiquan Chen, Yuming Li, Chenguang Ma |
| 2025 | Eco Search: A No-delay Best-First Search Algorithm for Program Synthesis. Théo Matricon, Nathanaël Fijalkow, Guillaume Lagarde |
| 2025 | Edge Contrastive Learning: An Augmentation-Free Graph Contrastive Learning Model. Yujun Li, Hongyuan Zhang, Yuan Yuan |
| 2025 | EditBoard: Towards a Comprehensive Evaluation Benchmark for Text-Based Video Editing Models. Yupeng Chen, Penglin Chen, Xiaoyu Zhang, Yixian Huang, Qian Xie |
| 2025 | Editing Memories Through Few Targeted Neurons. Wei Zhou, Wei Wei, Guibang Cao, Fei Wang |
| 2025 | Effective Diffusion Transformer Architecture for Image Super-Resolution. Kun Cheng, Lei Yu, Zhijun Tu, Xiao He, Liyu Chen, Yong Guo, Mingrui Zhu, Nannan Wang, Xinbo Gao, Jie Hu |
| 2025 | Effective and Efficient Representation Learning for Flight Trajectories. Shuo Liu, Wenbin Li, Di Yao, Jingping Bi |
| 2025 | Effects of Momentum in Implicit Bias of Gradient Flow for Diagonal Linear Networks. Bochen Lyu, He Wang, Zheng Wang, Zhanxing Zhu |
| 2025 | Efficient 3D Recognition with Event-driven Spike Sparse Convolution. Xuerui Qiu, Man Yao, Jieyuan Zhang, Yuhong Chou, Ning Qiao, Shibo Zhou, Bo Xu, Guoqi Li |
| 2025 | Efficient Anomaly Detection of Irregular Sequences in Ct-Echo Model Space. Ao Chen, Xiren Zhou, Huanhuan Chen |
| 2025 | Efficient Attention-Sharing Information Distillation Transformer for Lightweight Single Image Super-Resolution. Karam Park, Jae Woong Soh, Nam Ik Cho |
| 2025 | Efficient Communication in Multi-Agent Reinforcement Learning with Implicit Consensus Generation. Dapeng Li, Na Lou, Zhiwei Xu, Bin Zhang, Guoliang Fan |
| 2025 | Efficient Connectivity-Preserving Instance Segmentation with Supervoxel-Based Loss Function. Anna Grim, Jayaram Chandrashekar, Uygar Sümbül |
| 2025 | Efficient Deformable Convolutional Prompt for Continual Test-Time Adaptation in Medical Image Segmentation. Shiyu Liu, Daoqiang Zhang, Xiaoke Hao |
| 2025 | Efficient Event-Based Semantic Segmentation via Exploiting Frame-Event Fusion: A Hybrid Neural Network Approach. Hebei Li, Yansong Peng, Jiahui Yuan, Peixi Wu, Jin Wang, Yueyi Zhang, Xiaoyan Sun |
| 2025 | Efficient Fault-Tolerant Search by Fast Indexing of Subnetworks. Davide Bilò, Keerti Choudhary, Sarel Cohen, Tobias Friedrich, Martin Schirneck |
| 2025 | Efficient Federated Learning via Clients-to-Server Knowledge Distillation (Student Abstract). Huifang Sun, Jiaming Pei, Lukun Wang |
| 2025 | Efficient Few-Shot Neural Architecture Search by Counting the Number of Nonlinear Functions. Youngmin Oh, Hyunju Lee, Bumsub Ham |
| 2025 | Efficient Gaussian Splatting for Monocular Dynamic Scene Rendering via Sparse Time-Variant Attribute Modeling. Hanyang Kong, Xingyi Yang, Xinchao Wang |
| 2025 | Efficient Graph Bandit Learning with Side-Observations and Switching Constraints. Xueping Gong, Jiheng Zhang |
| 2025 | Efficient Image Similarity Search with Quadtrees (Student Abstract). Yifan Zhang, Jeff Heflin |
| 2025 | Efficient Image-to-Image Diffusion Classifier for Adversarial Robustness. Hefei Mei, Minjing Dong, Chang Xu |
| 2025 | Efficient Indoor Depth Completion Network Using Mask-adaptive Gated Convolution. Tingxuan Huang, Jiacheng Miao, Shizhuo Deng, Tong Jia, Dongyue Chen |
| 2025 | Efficient Language-instructed Skill Acquisition via Reward-Policy Co-Evolution. Changxin Huang, Yanbin Chang, Junfan Lin, Junyang Liang, Runhao Zeng, Jianqiang Li |
| 2025 | Efficient Multi-Policy Evaluation for Reinforcement Learning. Shuze Daniel Liu, Claire Chen, Shangtong Zhang |
| 2025 | Efficient Neural Network Encoding for 3D Color Lookup Tables. Vahid Zehtab, David B. Lindell, Marcus A. Brubaker, Michael S. Brown |
| 2025 | Efficient Online Training for Zero-Shot Time-Lapse Microscopy Denoising and Super-Resolution. Ruian He, Ri Cheng, Xinkai Lyu, Weimin Tan, Bo Yan |
| 2025 | Efficient Rectification of Neuro-Symbolic Reasoning Inconsistencies by Abductive Reflection. Wen-Chao Hu, Wang-Zhou Dai, Yuan Jiang, Zhi-Hua Zhou |
| 2025 | Efficient Reinforcement Learning Through Adaptively Pretrained Visual Encoder. Yuhan Zhang, Guoqing Ma, Guangfu Hao, Liangxuan Guo, Yang Chen, Shan Yu |
| 2025 | Efficient Reinforcement Learning in Probabilistic Reward Machines. Xiaofeng Lin, Xuezhou Zhang |
| 2025 | Efficient Robot Learning via Interaction with Humans. Erdem Biyik |
| 2025 | Efficient Robustness Evaluation via Constraint Relaxation. Chao Pan, Yu Wu, Ke Tang, Qing Li, Xin Yao |
| 2025 | Efficient Self-Supervised Video Hashing with Selective State Spaces. Jinpeng Wang, Niu Lian, Jun Li, Yuting Wang, Yan Feng, Bin Chen, Yongbing Zhang, Shu-Tao Xia |
| 2025 | Efficient Traffic Prediction Through Spatio-Temporal Distillation. Qianru Zhang, Xinyi Gao, Haixin Wang, Siu Ming Yiu, Hongzhi Yin |
| 2025 | Efficient Training of Neural Fractional-Order Differential Equation via Adjoint Backpropagation. Qiyu Kang, Xuhao Li, Kai Zhao, Wenjun Cui, Yanan Zhao, Weihua Deng, Wee Peng Tay |
| 2025 | Efficient Unlearning for Spatio-temporal Graph (Student Abstract). Qiming Guo, Chen Pan, Hua Zhang, Wenlu Wang |
| 2025 | Efficient and Robust Reinforcement Learning from Human Feedback. Huazheng Wang |
| 2025 | EfficientVMamba: Atrous Selective Scan for Light Weight Visual Mamba. Xiaohuan Pei, Tao Huang, Chang Xu |
| 2025 | Efficiently Enhancing Long-term Series Forecasting via Ultra-long Lookback Windows. Suxin Tong, Jingling Yuan |
| 2025 | EigenSR: Eigenimage-Bridged Pre-Trained RGB Learners for Single Hyperspectral Image Super-Resolution. Xi Su, Xiangfei Shen, Mingyang Wan, Jing Nie, Lihui Chen, Haijun Liu, Xichuan Zhou |
| 2025 | Elevating Flow-Guided Video Inpainting with Reference Generation. Suhwan Cho, Seoung Wug Oh, Sangyoun Lee, Joon-Young Lee |
| 2025 | Eliciting Causal Abilities in Large Language Models for Reasoning Tasks. Yajing Wang, Zongwei Luo, Jingzhe Wang, Zhanke Zhou, Yongqiang Chen, Bo Han |
| 2025 | Eliminating Majority Illusion Is Easy. Jack Dippel, Max Dupré la Tour, April Niu, Sanjukta Roy, Adrian Vetta |
| 2025 | Embedding Robust Watermarking into Pattern to Protect the Copyright of Ceramic Artifacts. Lei Tan, Yuliang Xue, Guobiao Li, Zhenxing Qian, Sheng Li, Chunlei Bao |
| 2025 | Embodied AI for Smart Robotic Cells in Manufacturing Applications. Satyandra K. Gupta |
| 2025 | Emergence-Inspired Multi-Granularity Causal Learning. Hanwen Luo, Guoxian Yu, Jun Wang, Yanyu Xu, Yongqing Zheng, Qingzhong Li |
| 2025 | EmoReg: Directional Latent Vector Modeling for Emotional Intensity Regularization in Diffusion-based Voice Conversion. Ashishkumar Prabhakar Gudmalwar, Ishan Darshan Biyani, Nirmesh J. Shah, Pankaj Wasnik, Rajiv Ratn Shah |
| 2025 | Empowering Educators in AI: Insights from Co-Designing an AI Microcredential with and for K-12 Educators. Nicole M. Hutchins, Shan Zhang, Joanne R. Barrett, Maya Israel |
| 2025 | Empowering LLMs with Pseudo-Untrimmed Videos for Audio-Visual Temporal Understanding. Yunlong Tang, Daiki Shimada, Jing Bi, Mingqian Feng, Hang Hua, Chenliang Xu |
| 2025 | Empowering Self-Learning of LLMs: Inner Knowledge Explicitation as a Catalyst. Shijue Huang, Wanjun Zhong, Deng Cai, Fanqi Wan, Chengyi Wang, Mingxuan Wang, Mu Qiao, Ruifeng Xu |
| 2025 | Enabling Region-Specific Control via Lassos in Point-Based Colorization. Sanghyeon Lee, Jooyeol Yun, Jaegul Choo |
| 2025 | Encoder of Thoughts: Enhancing Planning Ability in Language Agents Through Structural Embedding. Yuxiang Zhang, Jitao Sang |
| 2025 | End-to-End Autonomous Driving Through V2X Cooperation. Haibao Yu, Wenxian Yang, Jiaru Zhong, Zhenwei Yang, Siqi Fan, Ping Luo, Zaiqing Nie |
| 2025 | Energy vs. Noise: Towards Robust Temporal Action Localization in Open-World. Chenyu Mu, Jiahua Li, Kun Wei, Cheng Deng |
| 2025 | Energy-Guided Optimization for Personalized Image Editing with Pretrained Text-to-Image Diffusion Models. Rui Jiang, Xinghe Fu, Guangcong Zheng, Teng Li, Taiping Yao, Xi Li |
| 2025 | Enhance Modality Robustness in Text-Centric Multimodal Alignment with Adversarial Prompting. Yun-Da Tsai, Ting-Yu Yen, Keng-Te Liao, Shou-De Lin |
| 2025 | Enhance Vision-Language Alignment with Noise. Sida Huang, Hongyuan Zhang, Xuelong Li |
| 2025 | Enhanced Denesity Peak Clustering for High-Dimensional Data. Zhongli Wang, Jie Yang, Junyi Guan, Chenglong Zhang, Xinyan Liang, Bingbing Jiang, Weiguo Sheng |
| 2025 | Enhanced Importance Sampling Through Latent Space Exploration in Normalizing Flows. Liam Anthony Kruse, Alexandros E. Tzikas, Harrison Delecki, Mansur M. Arief, Mykel J. Kochenderfer |
| 2025 | Enhanced Sample Selection with Confidence Tracking: Identifying Correctly Labeled Yet Hard-to-Learn Samples in Noisy Data. Weiran Pan, Wei Wei, Feida Zhu, Yong Deng |
| 2025 | Enhancing Adversarial Transferability with Adversarial Weight Tuning. Jiahao Chen, Zhou Feng, Rui Zeng, Yuwen Pu, Chunyi Zhou, Yi Jiang, Yuyou Gan, Jinbao Li, Shouling Ji |
| 2025 | Enhancing Aging Biomarker Research through Large Language Models and Knowledge Graphs (Student Abstract). Srikar Reddy Gadusu, Yigit Küçük, Vania Santillana, Aaron King, Hande Küçük-McGinty |
| 2025 | Enhancing Audiovisual Speech Recognition Through Bifocal Preference Optimization. Yihan Wu, Yichen Lu, Yifan Peng, Xihua Wang, Ruihua Song, Shinji Watanabe |
| 2025 | Enhancing Chain of Thought Prompting in Large Language Models via Reasoning Patterns. Yufeng Zhang, Xuepeng Wang, Lingxiang Wu, Jinqiao Wang |
| 2025 | Enhancing Close-up Novel View Synthesis via Pseudo-labeling. Jiatong Xia, Libo Sun, Lingqiao Liu |
| 2025 | Enhancing Contrastive Learning Inspired by the Philosophy of "The Blind Men and the Elephant". Yudong Zhang, Ruobing Xie, Jiansheng Chen, Xingwu Sun, Zhanhui Kang, Yu Wang |
| 2025 | Enhancing Decision Making Through the Integration of Large Language Models and Operations Research Optimization. Segev Wasserkrug, Léonard Boussioux, Dick den Hertog, Farzaneh Mirzazadeh, S. Ilker Birbil, Jannis Kurtz, Donato Maragno |
| 2025 | Enhancing Decision-Making for LLM Agents via Step-Level Q-Value Models. Yuanzhao Zhai, Tingkai Yang, Kele Xu, Dawei Feng, Cheng Yang, Bo Ding, Huaimin Wang |
| 2025 | Enhancing Detection of Relationship Abuse in Text with Multi-task Learning (Student Abstract). Caroline Rinks |
| 2025 | Enhancing Diffusion Model with Auxiliary Information Mining-Exploration and Efficient Sampling Mechanism for Sequential Recommendation. Te Song, Lianyong Qi, Weiming Liu, Fan Wang, Xiaolong Xu, Xuyun Zhang, Amin Beheshti, Xiaokang Zhou, Wanchun Dou |
| 2025 | Enhancing Elusive Clues in Knowledge Learning by Contrasting Attention of Language Models. Jian Gao, Xiao Zhang, Miao Li, Ji Wu |
| 2025 | Enhancing Entertainment Translation for Indian Languages Using Adaptive Context, Style and LLMs. Pratik Rakesh Singh, Mohammadi Zaki, Pankaj Wasnik |
| 2025 | Enhancing Fine-Grained Vision-Language Pretraining with Negative Augmented Samples. Yeyuan Wang, Dehong Gao, Lei Yi, Linbo Jin, Jinxia Zhang, Libin Yang, Xiaoyan Cai |
| 2025 | Enhancing Generalizability in Molecular Conformation Generation with METRIZATION-Informed Geometric Diffusion Pretraining. Xiaozhuang Song, Yuzhao Tu, Hangting Ye, Wei Fan, Qingquan Zhang, Xiaoxue Wang, Tianshu Yu |
| 2025 | Enhancing Generalizability via Utilization of Unlabeled Data for Occupancy Perception. Ruihang Li, Tao Li, Shanding Ye, Kaikai Xiao, Huangnan Zheng, Zhe Yin, Zhijie Pan |
| 2025 | Enhancing Generalized Few-Shot Semantic Segmentation via Effective Knowledge Transfer. Xinyue Chen, Miaojing Shi, Zijian Zhou, Lianghua He, Sophia Tsoka |
| 2025 | Enhancing Healthcare Recommendations: A Privacy-Protective and Interpretable Cross-Domain Framework. Xun Liang, Zhiying Li, Hongxun Jiang |
| 2025 | Enhancing Identity-Deformation Disentanglement in StyleGAN for One-Shot Face Video Re-Enactment. Qing Chang, Yao-Xiang Ding, Kun Zhou |
| 2025 | Enhancing Implicit Neural Representations via Symmetric Power Transformation. Weixiang Zhang, Shuzhao Xie, Chengwei Ren, Shijia Ge, Mingzi Wang, Zhi Wang |
| 2025 | Enhancing LLMs via High-Knowledge Data Selection. Feiyu Duan, Xuemiao Zhang, Sirui Wang, Haoran Que, Yuqi Liu, Wenge Rong, Xunliang Cai |
| 2025 | Enhancing Large Language Model Performance with Gradient-Based Parameter Selection. Haoling Li, Xin Zhang, Xiao Liu, Yeyun Gong, Yifan Wang, Qi Chen, Peng Cheng |
| 2025 | Enhancing Long-and Short-Term Representations for Next POI Recommendations via Frequency and Hierarchical Contrastive Learning. Jiajie Chen, Yu Sang, Peng-Fei Zhang, Jiaan Wang, Jianfeng Qu, Zhixu Li |
| 2025 | Enhancing Low-Light Images: A Synthetic Data Perspective on Practical and Generalizable Solutions. Yu Long, Qinghua Lin, Zhihua Wang, Kai Zhang, Jianguo Zhang, Yuming Fang |
| 2025 | Enhancing Low-Rank Adaptation with Recoverability-Based Reinforcement Pruning for Object Counting. Haojie Guo, Junyu Gao, Yuan Yuan |
| 2025 | Enhancing Masked Time-Series Modeling via Dropping Patches. Tianyu Qiu, Yi Xie, Hao Niu, Yun Xiong, Xiaofeng Gao |
| 2025 | Enhancing Molecular Representation Learning Through the Combination of 3D and 2D Graph Machine Learning (Student Abstract). Ian Tong Pan, Joseph D. Romano |
| 2025 | Enhancing Multi-Hop Fact Verification with Structured Knowledge-Augmented Large Language Models. Han Cao, Lingwei Wei, Wei Zhou, Songlin Hu |
| 2025 | Enhancing Multi-Robot Semantic Navigation Through Multimodal Chain-of-Thought Score Collaboration. Zhixuan Shen, Haonan Luo, Kexun Chen, Fengmao Lv, Tianrui Li |
| 2025 | Enhancing Multi-View Classification Reliability with Adaptive Rejection. Wei Liu, Yufei Chen, Xiaodong Yue |
| 2025 | Enhancing Multimodal Affective Analysis with Learned Live Comment Features. Zhaoyuan Deng, Amith Ananthram, Kathleen McKeown |
| 2025 | Enhancing Multimodal Large Language Models Complex Reason via Similarity Computation. Xiaofeng Zhang, Fanshuo Zeng, Yihao Quan, Zheng Hui, Jiawei Yao |
| 2025 | Enhancing Multivariate Time-Series Domain Adaptation via Contrastive Frequency Graph Discovery and Language-Guided Adversary Alignment. Haoren Guo, Haiyue Zhu, Jiahui Wang, Prahlad Vadakkepat, Weng Khuen Ho, Tong Heng Lee |
| 2025 | Enhancing NLU in Large Language Models Using Adversarial Noisy Instruction Tuning. Shengyuan Bai, Qibin Li, Zhe Wang, Nai Zhou, Nianmin Yao |
| 2025 | Enhancing Noise-Robust Losses for Large-Scale Noisy Data Learning. Max Staats, Matthias Thamm, Bernd Rosenow |
| 2025 | Enhancing Non-English Capabilities of English-Centric Large Language Models Through Deep Supervision Fine-Tuning. Wenshuai Huo, Xiaocheng Feng, Yichong Huang, Chengpeng Fu, Baohang Li, Yangfan Ye, Zhirui Zhang, Dandan Tu, Duyu Tang, Yunfei Lu, Hui Wang, Bing Qin |
| 2025 | Enhancing Online Reinforcement Learning with Meta-Learned Objective from Offline Data. Shilong Deng, Zetao Zheng, Hongcai He, Paul Weng, Jie Shao |
| 2025 | Enhancing Portuguese Variety Identification with Cross-Domain Approaches. Hugo O. Sousa, Rúben Almeida, Purificação Silvano, Inês Cantante, Ricardo Campos, Alípio Mário Jorge |
| 2025 | Enhancing Predictive Healthcare Using AI-Driven Early Warning Systems. Hunnain Arsalan |
| 2025 | Enhancing Privacy in the Early Detection of Sexual Predators Through Federated Learning and Differential Privacy. Khaoula Chehbouni, Martine De Cock, Gilles Caporossi, Afaf Taïk, Reihaneh Rabbany, Golnoosh Farnadi |
| 2025 | Enhancing Question Generation through Diversity-Seeking Reinforcement Learning with Bilevel Policy Decomposition. Tianyu Ren, Hui Wang, Karen Rafferty |
| 2025 | Enhancing Relation Extraction via Supervised Rationale Verification and Feedback. Yongqi Li, Xin Miao, Shen Zhou, Mayi Xu, Yuyang Ren, Tieyun Qian |
| 2025 | Enhancing Robustness in Incremental Learning with Adversarial Training. Seungju Cho, Hongsin Lee, Changick Kim |
| 2025 | Enhancing SQL Query Generation with Neurosymbolic Reasoning. Henrijs Princis, Cristina David, Alan Mycroft |
| 2025 | Enhancing Sequential Recommendation with Global Diffusion. Mingxuan Luo, Yang Li, Chen Lin |
| 2025 | Enhancing Trustworthiness of Graph Neural Networks with Rank-Based Conformal Training. Ting Wang, Zhixin Zhou, Rui Luo |
| 2025 | Enhancing Uncertainty Modeling with Semantic Graph for Hallucination Detection. Kedi Chen, Qin Chen, Jie Zhou, Xinqi Tao, Bowen Ding, Jingwen Xie, Mingchen Xie, Peilong Li, Feng Zheng |
| 2025 | Enhancing Vision-Language Models with Morphological and Taxonomic Knowledge: Towards Coral Recognition for Ocean Health. Hongyong Han, Wei Wang, Gaowei Zhang, Mingjie Li, Yi Wang |
| 2025 | Enhancing the Adversarial Robustness via Manifold Projection. Zhiting Li, Shibai Yin, Tai-Xiang Jiang, Yexun Hu, Jia-Mian Wu, Guowei Yang, Guisong Liu |
| 2025 | Enriching Multimodal Sentiment Analysis Through Textual Emotional Descriptions of Visual-Audio Content. Sheng Wu, Dongxiao He, Xiaobao Wang, Longbiao Wang, Jianwu Dang |
| 2025 | Ensuring Class-Conditional Coverage for Pathological Workflows (Student Abstract). Siddharth Narendra, Shubham Ojha, Aditya Narendra, Abhay Kshirsagar, Abhisek Mallick |
| 2025 | Entire-Space Variational Information Exploitation for Post-Click Conversion Rate Prediction. Ke Fei, Xinyue Zhang, Jingjing Li |
| 2025 | Entity Only vs. Inline Approaches: Evaluating LLMs for Adverse Drug Event Detection in Clinical Text (Student Abstract). Howard Prioleau, Saurav K. Aryal |
| 2025 | Entropy Regularized Task Representation Learning for Offline Meta-Reinforcement Learning. Mohammadreza Nakhaeinezhadfard, Aidan Scannell, Joni Pajarinen |
| 2025 | Envisioning Class Entity Reasoning by Large Language Models for Few-shot Learning. Mushui Liu, Fangtai Wu, Bozheng Li, Ziqian Lu, Yunlong Yu, Xi Li |
| 2025 | Epistemic Bellman Operators. Pascal R. van der Vaart, Matthijs T. J. Spaan, Neil Yorke-Smith |
| 2025 | Epistemic EFX Allocations Exist for Monotone Valuations. Hannaneh Akrami, Nidhi Rathi |
| 2025 | Epsilon: Exploring Comprehensive Visual-Semantic Projection for Multi-Label Zero-Shot Learning. Ziming Liu, Jingcai Guo, Song Guo, Xiaocheng Lu |
| 2025 | Equal Merit Does Not Imply Equality: Discrimination at Equilibrium in a Hiring Market with Symmetric Agents. Serafina Kamp, Benjamin Fish |
| 2025 | Equilibria of the Colonel Blotto Games with Costs. Stanislaw Kazmierowski |
| 2025 | Equirectangular Point Reconstruction for Domain Adaptive Multimodal 3D Object Detection in Adverse Weather Conditions. Jae Hyun Yoon, Jong Won Jung, Seok Bong Yoo |
| 2025 | Erase Then Rectify: A Training-Free Parameter Editing Approach for Cost-Effective Graph Unlearning. Zhe-Rui Yang, Jindong Han, Chang-Dong Wang, Hao Liu |
| 2025 | Error Analysis Affected by Heavy-Tailed Gradients for Non-Convex Pairwise Stochastic Gradient Descent. Jun Chen, Hong Chen, Bin Gu, Guodong Liu, Yingjie Wang, Weifu Li |
| 2025 | Error Bounds for Gaussian Process Regression Under Bounded Support Noise with Applications to Safety Certification. Robert Reed, Luca Laurenti, Morteza Lahijanian |
| 2025 | Error Diversity Matters: An Error-Resistant Ensemble Method for Unsupervised Dependency Parsing. Behzad Shayegh, Hobie H.-B. Lee, Xiaodan Zhu, Jackie Chi Kit Cheung, Lili Mou |
| 2025 | EvHDR-GS: Event-guided HDR Video Reconstruction with 3D Gaussian Splatting. Zehao Chen, Zhan Lu, De Ma, Huajin Tang, Xudong Jiang, Qian Zheng, Gang Pan |
| 2025 | EvHDR-NeRF: Building High Dynamic Range Radiance Fields with Single Exposure Images and Events. Zehao Chen, Zhanfeng Liao, De Ma, Huajin Tang, Qian Zheng, Gang Pan |
| 2025 | EvSTVSR: Event Guided Space-Time Video Super-Resolution. Haojie Yan, Zhan Lu, Zehao Chen, De Ma, Huajin Tang, Qian Zheng, Gang Pan |
| 2025 | EvalAssist: LLM-as-a-Judge Simplified. Michael Desmond, Zahra Ashktorab, Werner Geyer, Elizabeth M. Daly, Martín Santillán Cooper, Qian Pan, Rahul Nair, Nico Wagner, Tejaswini Pedapati |
| 2025 | Evaluate with the Inverse: Efficient Approximation of Latent Explanation Quality Distribution. Carlos Eiras-Franco, Anna Hedström, Marina M.-C. Höhne |
| 2025 | Evaluating Image Hallucination in Text-to-Image Generation with Question-Answering. Youngsun Lim, Hojun Choi, Hyunjung Shim |
| 2025 | Evaluating Index-based Treatment Allocation in Underresourced Communities. Niclas Boehmer, Yash Nair, Sanket Shah, Lucas Janson, Aparna Taneja, Milind Tambe |
| 2025 | Evaluating LLM Reasoning in the Operations Research Domain with ORQA. Mahdi Mostajabdaveh, Timothy Tin Long Yu, Samarendra Chandan Bindu Dash, Rindra Ramamonjison, Jabo Serge Byusa, Giuseppe Carenini, Zirui Zhou, Yong Zhang |
| 2025 | Evaluating Mathematical Reasoning Beyond Accuracy. Shijie Xia, Xuefeng Li, Yixin Liu, Tongshuang Wu, Pengfei Liu |
| 2025 | Evaluating the Evaluator: Measuring LLMs' Adherence to Task Evaluation Instructions. Bhuvanashree Murugadoss, Christian Pölitz, Ian Drosos, Vu Le, Nick McKenna, Carina Suzana Negreanu, Chris Parnin, Advait Sarkar |
| 2025 | Evaluation and Incident Prevention in an Enterprise AI Assistant. Akash V. Maharaj, David Arbour, Daniel Lee, Uttaran Bhattacharya, Anup B. Rao, Austin Zane, Avi Feller, Kun Qian, Yunyao Li |
| 2025 | EvdCLIP: Improving Vision-Language Retrieval with Entity Visual Descriptions from Large Language Models. Guanghao Meng, Sunan He, Jinpeng Wang, Tao Dai, Letian Zhang, Jieming Zhu, Qing Li, Gang Wang, Rui Zhang, Yong Jiang |
| 2025 | Eve: Efficient Multimodal Vision Language Models with Elastic Visual Experts. Miao Rang, Zhenni Bi, Chuanjian Liu, Yehui Tang, Kai Han, Yunhe Wang |
| 2025 | Even-if Explanations: Formal Foundations, Priorities and Complexity. Gianvincenzo Alfano, Sergio Greco, Domenico Mandaglio, Francesco Parisi, Reza Shahbazian, Irina Trubitsyna |
| 2025 | Event-Enhanced Blurry Video Super-Resolution. Dachun Kai, Yueyi Zhang, Jin Wang, Zeyu Xiao, Zhiwei Xiong, Xiaoyan Sun |
| 2025 | Event2Tracking: Reconstructing Multi-Agent Soccer Trajectories Using Long-Term Multimodal Context. Harry Hughes, Michael Horton, Xinyu Wei, Harshala Gammulle, Clinton Fookes, Sridha Sridharan, Patrick Lucey |
| 2025 | EventMamba: Enhancing Spatio-Temporal Locality with State Space Models for Event-Based Video Reconstruction. Chengjie Ge, Xueyang Fu, Peng He, Kunyu Wang, Chengzhi Cao, Zheng-Jun Zha |
| 2025 | EventPillars: Pillar-based Efficient Representations for Event Data. Rui Fan, Weidong Hao, Juntao Guan, Lai Rui, Lin Gu, Tong Wu, Fanhong Zeng, Zhangming Zhu |
| 2025 | EventSum: A Large-Scale Event-Centric Summarization Dataset for Chinese Multi-News Documents. Mengna Zhu, Kaisheng Zeng, Mao Wang, Kaiming Xiao, Lei Hou, Hongbin Huang, Juanzi Li |
| 2025 | EventZoom: A Progressive Approach to Event-Based Data Augmentation for Enhanced Neuromorphic Vision. Yiting Dong, Xiang He, Guobin Shen, Dongcheng Zhao, Yang Li, Yi Zeng |
| 2025 | Every Bit Helps: Achieving the Optimal Distortion with a Few Queries. Soroush Ebadian, Nisarg Shah |
| 2025 | Every Component Counts: Rethinking the Measure of Success for Medical Semantic Segmentation in Multi-Instance Segmentation Tasks. Alexander Jaus, Constantin Marc Seibold, Simon Reiß, Zdravko Marinov, Keyi Li, Zeling Ye, Stefan Krieg, Jens Kleesiek, Rainer Stiefelhagen |
| 2025 | Every Opinion Matters: Evaluating and Building Models with Pluralistic Views. Xiang Li |
| 2025 | Everywhere Attack: Attacking Locally and Globally to Boost Targeted Transferability. Hui Zeng, Sanshuai Cui, Biwei Chen, Anjie Peng |
| 2025 | EvoChart: A Benchmark and a Self-Training Approach Towards Real-World Chart Understanding. Muye Huang, Han Lai, Xinyu Zhang, Wenjun Wu, Jie Ma, Lingling Zhang, Jun Liu |
| 2025 | Evolutionary Classifier Chain for Multi-Dimensional Classification. Yu-Yang Zhang, Bin-Bin Jia, Min-Ling Zhang |
| 2025 | Evolutionary Large Language Model for Automated Feature Transformation. Nanxu Gong, Chandan K. Reddy, Wangyang Ying, Haifeng Chen, Yanjie Fu |
| 2025 | Evolutionary Reinforcement Learning with Parameterized Action Primitives for Diverse Manipulation Tasks. Xianxu Qiu, Haiming Huang, Weiwei Chen, Qiuzhen Lin, Wei-Neng Chen, Fuchun Sun |
| 2025 | ExDDI: Explaining Drug-Drug Interaction Predictions with Natural Language. Zhaoyue Sun, Jiazheng Li, Gabriele Pergola, Yulan He |
| 2025 | ExPERT: Modeling Human Behavior Under External Stimuli Aware Personalized MTPP. Subhendu Khatuya, Ritvik Vij, Paramita Koley, Samik Datta, Niloy Ganguly |
| 2025 | Exact Algorithms and Lower Bounds for Forming Coalitions of Constrained Maximum Size. Foivos Fioravantes, Harmender Gahlawat, Nikolaos Melissinos |
| 2025 | Exact Algorithms for Multiagent Path Finding with Communication Constraints on Tree-Like Structures. Foivos Fioravantes, Dusan Knop, Jan Matyás Kristan, Nikolaos Melissinos, Michal Opler |
| 2025 | ExcluIR: Exclusionary Neural Information Retrieval. Wenhao Zhang, Mengqi Zhang, Shiguang Wu, Jiahuan Pei, Zhaochun Ren, Maarten de Rijke, Zhumin Chen, Pengjie Ren |
| 2025 | Excluding the Impossible for Open Vocabulary Semantic Segmentation. Shiyuan Zhao, Baodi Liu, Yu Bai, Weifeng Liu, Shuai Shao |
| 2025 | Expand Horizon: Graph Out-of-Distribution Generalization via Multi-Level Environment Inference. Jiaqiang Zhang, Songcan Chen |
| 2025 | Expand VSR Benchmark for VLLM to Expertize in Spatial Rules. Peijin Xie, Lin Sun, Bingquan Liu, Dexin Wang, Xiangzheng Zhang, Chengjie Sun, Jiajia Zhang |
| 2025 | Expanding the Scope of Negatives: Boosting Image-Text Matching with Negatives Distribution Guided Learning. Zhao Zhou, Weizhong Zhang, Xiangcheng Du, Yingbin Zheng, Cheng Jin |
| 2025 | Expected Hypervolume Improvement Is a Particular Hypervolume Improvement. Jingda Deng, Jianyong Sun, Qingfu Zhang, Hui Li |
| 2025 | Expensive Multi-Objective Bayesian Optimization Based on Diffusion Models. Bingdong Li, Zixiang Di, Yongfan Lu, Hong Qian, Feng Wang, Peng Yang, Ke Tang, Aimin Zhou |
| 2025 | Explainable Neural Networks with Guarantee: A Sparse Estimation Approach. Antoine Ledent, Peng Liu |
| 2025 | Explainable Robot Navigation. Amar Halilovic |
| 2025 | Explaining Decisions of Agents in Mixed-Motive Games. Maayan Orner, Oleg Maksimov, Akiva Kleinerman, Charles Ortiz, Sarit Kraus |
| 2025 | Explanation Bottleneck Models. Shin'ya Yamaguchi, Kosuke Nishida |
| 2025 | Explanations for Multi-Agent Reinforcement Learning. Kayla Boggess |
| 2025 | Explicit Relational Reasoning Network for Scene Text Detection. Yuchen Su, Zhineng Chen, Yongkun Du, Zhilong Ji, Kai Hu, Jinfeng Bai, Xieping Gao |
| 2025 | Explicit and Implicit Examinee-Question Relation Exploiting for Efficient Computerized Adaptive Testing. Changqian Wang, Shangshang Yang, Siyu Song, Ziwen Wang, Haiping Ma, Xingyi Zhang, Bo Jin |
| 2025 | Explicit and Implicit Graduated Optimization in Deep Neural Networks. Naoki Sato, Hideaki Iiduka |
| 2025 | Explicitly Guided Difficulty-Controllable Visual Question Generation. Jiayuan Xie, Mengqiu Cheng, Xinting Zhang, Yi Cai, Guimin Hu, Mengying Xie, Qing Li |
| 2025 | Exploit Gradient Skewness to Circumvent Byzantine Defenses for Federated Learning. Yuchen Liu, Chen Chen, Lingjuan Lyu, Yaochu Jin, Gang Chen |
| 2025 | Exploit Your Latents: Coarse-Grained Protein Backmapping with Latent Diffusion Models. Rongchao Zhang, Yu Huang, Yiwei Lou, Yi Xin, Haixu Chen, Yongzhi Cao, Hanpin Wang |
| 2025 | Exploiting Continuous Motion Clues for Vision-Based Occupancy Prediction. Haoran Xu, Peixi Peng, Xinyi Zhang, Guang Tan, Yaokun Li, Shuaixian Wang, Luntong Li |
| 2025 | Exploiting Diffusion Prior for Real-World Image Dehazing with Unpaired Training. Yunwei Lan, Zhigao Cui, Chang Liu, Jialun Peng, Nian Wang, Xin Luo, Dong Liu |
| 2025 | Exploiting Fine-Grained Skip Behaviors for Micro-Video Recommendation. Sanghyuck Lee, Sangkeun Park, Jaesung Lee |
| 2025 | Exploiting Multimodal Spatial-temporal Patterns for Video Object Tracking. Xiantao Hu, Ying Tai, Xu Zhao, Chen Zhao, Zhenyu Zhang, Jun Li, Bineng Zhong, Jian Yang |
| 2025 | Exploiting Symmetries in MUS Computation. Ignace Bleukx, Hélène Verhaeghe, Bart Bogaerts, Tias Guns |
| 2025 | Explore In-Context Segmentation via Latent Diffusion Models. Chaoyang Wang, Xiangtai Li, Henghui Ding, Lu Qi, Jiangning Zhang, Yunhai Tong, Chen Change Loy, Shuicheng Yan |
| 2025 | Explore What LLM Does Not Know in Complex Question Answering. Xin Lin, Zhenya Huang, Zhiqiang Zhang, Jun Zhou, Enhong Chen |
| 2025 | Exploring Activation Patterns of Parameters in Language Models. Yudong Wang, Damai Dai, Zhe Yang, Jingyuan Ma, Zhifang Sui |
| 2025 | Exploring Conversational Adaptability: Assessing the Proficiency of Large Language Models in Dynamic Alignment with Updated User Intent. Yu-Chuan Chen, Hen-Hsen Huang |
| 2025 | Exploring Enhanced Contextual Information for Video-Level Object Tracking. Ben Kang, Xin Chen, Simiao Lai, Yang Liu, Yi Liu, Dong Wang |
| 2025 | Exploring Intrinsic Alignments Within Text Corpus. Zi Liang, Pinghui Wang, Ruofei Zhang, Haibo Hu, Shuo Zhang, Qingqing Ye, Nuo Xu, Yaxin Xiao, Chen Zhang, Lizhen Cui |
| 2025 | Exploring Iterative Enhancement for Improving Learnersourced Multiple-Choice Question Explanations with Large Language Models. Qiming Bao, Juho Leinonen, Alex Yuxuan Peng, Wanjun Zhong, Gaël Gendron, Timothy Pistotti, Alice Huang, Paul Denny, Michael Witbrock, Jiamou Liu |
| 2025 | Exploring Model Editing for LLM-based Aspect-Based Sentiment Classification. Shichen Li, Zhongqing Wang, Zheyu Zhao, Yue Zhang, Peifeng Li |
| 2025 | Exploring More from Multiple Gait Modalities for Human Identification. Dongyang Jin, Chao Fan, Weihua Chen, Shiqi Yu |
| 2025 | Exploring Query Efficient Data Generation Towards Data-Free Model Stealing in Hard Label Setting. Gaozheng Pei, Shaojie Lyu, Ke Ma, Pinci Yang, Qianqian Xu, Yingfei Sun |
| 2025 | Exploring Rationale Learning for Continual Graph Learning. Lei Song, Jiaxing Li, Qinghua Si, Shihan Guan, Youyong Kong |
| 2025 | Exploring Salient Object Detection with Adder Neural Networks. Bo-Wen Yin, Zheng Lin |
| 2025 | Exploring Semantic Consistency and Style Diversity for Domain Generalized Semantic Segmentation. Hongwei Niu, Linhuang Xie, Jianghang Lin, Shengchuan Zhang |
| 2025 | Exploring Task-Level Optimal Prompts for Visual In-Context Learning. Yan Zhu, Huan Ma, Changqing Zhang |
| 2025 | Exploring Temporal Event Cues for Dense Video Captioning in Cyclic Co-Learning. Zhuyang Xie, Yan Yang, Yankai Yu, Jie Wang, Yongquan Jiang, Xiao Wu |
| 2025 | Exploring Topological Properties in Artificial Neural Networks. Sophia Pi |
| 2025 | Exploring Unbiased Deepfake Detection via Token-Level Shuffling and Mixing. Xinghe Fu, Zhiyuan Yan, Taiping Yao, Shen Chen, Xi Li |
| 2025 | Exploring Vacant Classes in Label-Skewed Federated Learning. Kuangpu Guo, Yuhe Ding, Jian Liang, Zilei Wang, Ran He, Tieniu Tan |
| 2025 | Exploring and Mitigating Implicit Bias in Large Language Models: A Cross-Domain Evaluation Framework. Precious Donkor |
| 2025 | Exploring the Better Multimodal Synergy Strategy for Vision-Language Models. Xiaotian Yin, Xin Liu, Si Chen, Yuan Wang, Yuwen Pan, Tianzhu Zhang |
| 2025 | Exploring the Efficacy of Multi-Agent Reinforcement Learning for Autonomous Cyber Defence: A CAGE Challenge 4 Perspective. Mitchell Kiely, Metin Ahiskali, Etienne Borde, Benjamin Bowman, David Bowman, Dirk Van Bruggen, KC Cowan, Prithviraj Dasgupta, Erich Devendorf, Ben Edwards, Alex Fitts, Sunny Fugate, Ryan Gabrys, Wayne Gould, H. Howie Huang, Jules Jacobs, Ryan Kerr, Isaiah J. King, Li Li, Luis Martinez, Christopher Moir, Craig Murphy, Olivia Naish, Claire Owens, Miranda Purchase, Ahmad Ridley, Adrian Taylor, Sara Farmer, William John Valentine, Yiyi Zhang |
| 2025 | Exploring the Impact of Age and Class Level on Emotional Perception: A Study of Nigerian Secondary School Girls Using the Reading the Mind in the Eyes Test (Student Abstract). Christianah Titilope Oyewale, Rafiat M. Bamimore Akodu, Faith Adeoluwa Adeyemi |
| 2025 | Exploring the Potential of Large Vision-Language Models for Unsupervised Text-Based Person Retrieval. Zongyi Li, Jianbo Li, Yuxuan Shi, Jiazhong Chen, Shijuan Huang, Linnan Tu, Fei Shen, Hefei Ling |
| 2025 | Exploring the Relationship Between Samples and Masks for Robust Defect Localization. Jiang Lin, Hui Xue, Fanxiu Sun, Yaping Yan |
| 2025 | Exponential-Family Harmoniums with Neural Sufficient Statistics. Azwar Abdulsalam, Joseph G. Makin |
| 2025 | Expressive Power of Temporal Message Passing. Przemyslaw Andrzej Walega, Michael Rawson |
| 2025 | Extended LSTMs for Knowledge Tracing: Peeking Inside the Black Box (Student Abstract). Deliang Wang, Yu Lu, Gaowei Chen |
| 2025 | External Reliable Information-enhanced Multimodal Contrastive Learning for Fake News Detection. Biwei Cao, Qihang Wu, Jiuxin Cao, Bo Liu, Jie Gui |
| 2025 | Extract Free Dense Misalignment from CLIP. JeongYeon Nam, Jinbae Im, Wonjae Kim, Taeho Kil |
| 2025 | Extracting Interpretable Task-Specific Circuits from Large Language Models for Faster Inference. Jorge García-Carrasco, Alejandro Maté, Juan Trujillo |
| 2025 | Extracting PAC Decision Trees from Black Box Binary Classifiers: The Gender Bias Study Case on BERT-based Language Models. Ana Ozaki, Roberto Confalonieri, Ricardo Guimarães, Anders Imenes |
| 2025 | EyEar: Learning Audio Synchronized Human Gaze Trajectory Based on Physics-Informed Dynamics. Xiaochuan Liu, Xin Cheng, Yuchong Sun, Xiaoxue Wu, Ruihua Song, Hao Sun, Denghao Zhang |
| 2025 | FAMNet: Frequency-aware Matching Network for Cross-domain Few-shot Medical Image Segmentation. Yuntian Bo, Yazhou Zhu, Lunbo Li, Haofeng Zhang |
| 2025 | FAP-CD: Fairness-Driven Age-Friendly Community Planning via Conditional Diffusion Generation. Jinlin Li, Xintong Li, Xiao Zhou |
| 2025 | FATE: Feature-Adapted Parameter Tuning for Vision-Language Models. Zhengqin Xu, Zelin Peng, Xiaokang Yang, Wei Shen |
| 2025 | FBRT-YOLO: Faster and Better for Real-Time Aerial Image Detection. Yao Xiao, Tingfa Xu, Yu Xin, Jianan Li |
| 2025 | FCOM: A Federated Collaborative Online Monitoring Framework via Representation Learning. Tanapol Kosolwattana, Huazheng Wang, Raed Al Kontar, Ying Lin |
| 2025 | FD2-Net: Frequency-Driven Feature Decomposition Network for Infrared-Visible Object Detection. Ke Li, Di Wang, Zhangyuan Hu, Shaofeng Li, Weiping Ni, Lin Zhao, Quan Wang |
| 2025 | FEAST-Mamba: FEAture and SpaTial Aware Mamba Network with Bidirectional Orthogonal Fusion for Cross-Modal Point Cloud Segmentation. Chade Li, Pengju Zhang, Bo Liu, Hao Wei, Yihong Wu |
| 2025 | FFCG: Effective and Fast Family Column Generation for Solving Large-Scale Linear Program. Yixiang Hu, Feng Wu, Shaoang Li, Yifang Zhao, Xiang-Yang Li |
| 2025 | FIDLAR: Forecast-Informed Deep Learning Architecture for Flood Mitigation. Jimeng Shi, Zeda Yin, Arturo S. Leon, Jayantha Obeysekera, Giri Narasimhan |
| 2025 | FIND: A Framework for Discovering Formulas in Data. Tingxiong Xiao, Yuxiao Cheng, Jinli Suo |
| 2025 | FIRM: Flexible Interactive Reflection ReMoval. Xiao Chen, Xudong Jiang, Yunkang Tao, Zhen Lei, Qing Li, Chenyang Lei, Zhaoxiang Zhang |
| 2025 | FLAME: Learning to Navigate with Multimodal LLM in Urban Environments. Yunzhe Xu, Yiyuan Pan, Zhe Liu, Hesheng Wang |
| 2025 | FLUE: Streamlined Uncertainty Estimation for Large Language Models. Shiqi Gao, Tianxiang Gong, Zijie Lin, Runhua Xu, Haoyi Zhou, Jianxin Li |
| 2025 | FMPM-DNet: Hyperspectral Pansharpening Dynamic Network Based on Feature Modulation and Probability Mask. Xiaozheng Wang, Yong Yang, Shuying Huang, Hangyuan Lu, Weiguo Wan, Aoqi Zhao |
| 2025 | FNIN: A Fourier Neural Operator-based Numerical Integration Network for Surface-from-gradients. Jiaqi Leng, Yakun Ju, Yuanxu Duan, Jiangnan Zhang, Qingxuan Lv, Zuxuan Wu, Hao Fan |
| 2025 | FOCUS: Towards Universal Foreground Segmentation. Zuyao You, Lingyu Kong, Lingchen Meng, Zuxuan Wu |
| 2025 | FROC: Building Fair ROC from a Trained Classifier. Avyukta Manjunatha Vummintala, Shantanu Das, Sujit Gujar |
| 2025 | FR²Seg: Continual Segmentation Across Multiple Sites via Fourier Style Replay and Adaptive Consistency Regularization. Cheng Xu, Weiwen Zhang, Hongrui Zhang, Xuemiao Xu, Huaidong Zhang, Jing Zou, Jing Qin |
| 2025 | FSL-Rectifier: Rectify Outliers in Few-Shot Learning via Test-Time Augmentation. Yunwei Bai, Ying Kiat Tan, Shiming Chen, Yao Shu, Tsuhan Chen |
| 2025 | FSTA-SNN: Frequency-Based Spatial-Temporal Attention Module for Spiking Neural Networks. Kairong Yu, Tianqing Zhang, Hongwei Wang, Qi Xu |
| 2025 | FaceA-Net: Facial Attribute-Driven ID Preserving Image Generation Network. Jiayu Wang, Yue Yu, Jingjing Chen, Qi Dai, Yu-Gang Jiang |
| 2025 | FaceMe: Robust Blind Face Restoration with Personal Identification. Siyu Liu, Zheng-Peng Duan, Jia Ouyang, Jiayi Fu, Hyunhee Park, Zikun Liu, Chun-Le Guo, Chongyi Li |
| 2025 | FaceSpeak: Expressive and High-Quality Speech Synthesis from Human Portraits of Different Styles. Tian-Hao Zhang, Jiawei Zhang, Jun Wang, Xinyuan Qian, Xu-Cheng Yin |
| 2025 | Facility Location Games with Optional Preferences: A Revisit. Xingchen Sha, Shuyu Bao, Hau Chan, Vincent Chau, Ken C. K. Fong, Minming Li |
| 2025 | Factor Augmented Tensor-on-Tensor Neural Networks. Guanhao Zhou, Yuefeng Han, Xiufan Yu |
| 2025 | FactorGCL: A Hypergraph-Based Factor Model with Temporal Residual Contrastive Learning for Stock Returns Prediction. Yitong Duan, Weiran Wang, Jian Li |
| 2025 | Fair Division via the Cake-Cutting Share. Yannan Bai, Kamesh Munagala, Yiheng Shen, Ian Zhang |
| 2025 | Fair Division with Market Values. Siddharth Barman, Soroush Ebadian, Mohamad Latifian, Nisarg Shah |
| 2025 | Fair Division with Social Impact. Michele Flammini, Gianluigi Greco, Giovanna Varricchio |
| 2025 | Fair Federated Survival Analysis. Md Mahmudur Rahman, Sanjay Purushotham |
| 2025 | Fair Graph U-Net: A Fair Graph Learning Framework Integrating Group and Individual Awareness. Zichong Wang, Zhibo Chu, Thang Viet Doan, Shaowei Wang, Yongkai Wu, Vasile Palade, Wenbin Zhang |
| 2025 | Fair Text-to-Image Diffusion via Fair Mapping. Jia Li, Lijie Hu, Jingfeng Zhang, Tianhang Zheng, Hua Zhang, Di Wang |
| 2025 | Fair Training with Zero Inputs. Wenjie Pan, Jianqing Zhu, Huanqiang Zeng |
| 2025 | Fair and Efficient Completion of Indivisible Goods. Vishwa Prakash HV, Ayumi Igarashi, Rohit Vaish |
| 2025 | FairGP: A Scalable and Fair Graph Transformer Using Graph Partitioning. Renqiang Luo, Huafei Huang, Ivan Lee, Chengpei Xu, Jianzhong Qi, Feng Xia |
| 2025 | FairTP: A Prolonged Fairness Framework for Traffic Prediction. Jiangnan Xia, Yu Yang, Jiaxing Shen, Senzhang Wang, Jiannong Cao |
| 2025 | Fairness Issues and Mitigations in (Differentially Private) Socio-Demographic Data Processes. Joonhyuk Ko, Juba Ziani, Saswat Das, Matt Williams, Ferdinando Fioretto |
| 2025 | Fairness Shields: Safeguarding against Biased Decision Makers. Filip Cano, Thomas A. Henzinger, Bettina Könighofer, Konstantin Kueffner, Kaushik Mallik |
| 2025 | Fairness-Accuracy Trade-Offs: A Causal Perspective. Drago Plecko, Elias Bareinboim |
| 2025 | Faithful and Accurate Self-Attention Attribution for Message Passing Neural Networks via the Computation Tree Viewpoint. Yong-Min Shin, Siqing Li, Xin Cao, Won-Yong Shin |
| 2025 | FakeDiffer: Distributional Disparity Learning on Differentiated Reconstruction for Face Forgery Detection. Bo Wang, Zhao Zhang, Suiyi Zhao, Xianming Ye, Haijun Zhang, Meng Wang |
| 2025 | Falcon Medical Visual Question Answering. Ameera Ali Bawazir, Hassan Alshanqiti, Kebin Wu, Fatima Albreiki |
| 2025 | Falcon: Faster and Parallel Inference of Large Language Models Through Enhanced Semi-Autoregressive Drafting and Custom-Designed Decoding Tree. Xiangxiang Gao, Weisheng Xie, Yiwei Xiang, Feng Ji |
| 2025 | FashionTailor: Controllable Clothing Editing for Human Images with Appearance Preserving. Jie Hou, Jianghong Ma, Xiangyu Mu, Haijun Zhang, Zhao Zhang |
| 2025 | Fast Computing of Dung Semantics in Acyclic Probabilistic Argumentation Frameworks. Stefano Bistarelli, Victor David, Pierre Monnin, Francesco Santini, Carlo Taticchi |
| 2025 | Fast Contiguous Somatic Hypermutations for Single-Objective Optimisation and Multi-Objective Optimisation Via Decomposition. Dogan Corus, Pietro S. Oliveto, Donya Yazdani |
| 2025 | Fast Incomplete Multi-view Clustering with Adaptive Similarity Completion and Reconstruction. Deng Xu, Chao Zhang, Cong Guo, Chunlin Chen, Huaxiong Li |
| 2025 | Fast Multi-Instance Partial-Label Learning. Yin-Fang Yang, Wei Tang, Min-Ling Zhang |
| 2025 | Fast Omni-Directional Image Super-Resolution: Adapting the Implicit Image Function with Pixel and Semantic-Wise Spherical Geometric Priors. Xuelin Shen, Yitong Wang, Silin Zheng, Kang Xiao, Wenhan Yang, Xu Wang |
| 2025 | Fast Think-on-Graph: Wider, Deeper and Faster Reasoning of Large Language Model on Knowledge Graph. Xujian Liang, Zhaoquan Gu |
| 2025 | Fast Track to Winning Tickets: Repowering One-Shot Pruning for Graph Neural Networks. Yanwei Yue, Guibin Zhang, Haoran Yang, Dawei Cheng |
| 2025 | Fast and Interpretable Mixed-Integer Linear Program Solving by Learning Model Reduction. Yixuan Li, Can Chen, Jiajun Li, Jiahui Duan, Xiongwei Han, Tao Zhong, Vincent Chau, Weiwei Wu, Wanyuan Wang |
| 2025 | Fast and Slow Gradient Approximation for Binary Neural Network Optimization. Xinquan Chen, Junqi Gao, Biqing Qi, Dong Li, Yiang Luo, Fangyuan Li, Pengfei Li |
| 2025 | FastLGS: Speeding Up Language Embedded Gaussians with Feature Grid Mapping. Yuzhou Ji, He Zhu, Junshu Tang, Wuyi Liu, Zhizhong Zhang, Xin Tan, Yuan Xie |
| 2025 | FastPERT: Towards Fast Microservice Application Latency Prediction via Structural Inductive Bias over PERT Networks. Da Sun Handason Tam, Huanle Xu, Yang Liu, Siyue Xie, Wing Cheong Lau |
| 2025 | Faster Double Adaptive Gradient Methods. Feihu Huang, Yuning Luo |
| 2025 | FatesGS: Fast and Accurate Sparse-View Surface Reconstruction Using Gaussian Splatting with Depth-Feature Consistency. Han Huang, Yulun Wu, Chao Deng, Ge Gao, Ming Gu, Yu-Shen Liu |
| 2025 | Feature Clipping for Uncertainty Calibration. Linwei Tao, Minjing Dong, Chang Xu |
| 2025 | Feature Denoising Diffusion Model for Blind Image Quality Assessment. Xudong Li, Yan Zhang, Yunhang Shen, Ke Li, Runze Hu, Xiawu Zheng, Sicheng Zhao |
| 2025 | Feature-Structure Adaptive Completion Graph Neural Network for Cold-start Recommendation. Songyuan Lei, Xinglong Chang, Zhizhi Yu, Dongxiao He, Cuiying Huo, Jianrong Wang, Di Jin |
| 2025 | Fed-DFA: Federated Distillation for Heterogeneous Model Fusion Through the Adversarial Lens. Zichen Wang, Feng Yan, Tianyi Wang, Cong Wang, Yuanchao Shu, Peng Cheng, Jiming Chen |
| 2025 | FedAA: A Reinforcement Learning Perspective on Adaptive Aggregation for Fair and Robust Federated Learning. Jialuo He, Wei Chen, Xiaojin Zhang |
| 2025 | FedCFA: Alleviating Simpson's Paradox in Model Aggregation with Counterfactual Federated Learning. Zhonghua Jiang, Jimin Xu, Shengyu Zhang, Tao Shen, Jiwei Li, Kun Kuang, Haibin Cai, Fei Wu |
| 2025 | FedCross: Intertemporal Federated Learning Under Evolutionary Games. Jianfeng Lu, Ying Zhang, Riheng Jia, Shuqin Cao, Jing Liu, Hao Fu |
| 2025 | FedFSL-CFRD: Personalized Federated Few-Shot Learning with Collaborative Feature Representation Disentanglement. Shanfeng Wang, Jianzhao Li, Zaitian Liu, Yourun Zhang, Maoguo Gong |
| 2025 | FedGOG: Federated Graph Out-of-Distribution Generalization with Diffusion Data Exploration and Latent Embedding Decorrelation. Pengyang Zhou, Chaochao Chen, Weiming Liu, Xinting Liao, Wenkai Shen, Jiahe Xu, Zhihui Fu, Jun Wang, Wu Wen, Xiaolin Zheng |
| 2025 | FedMSGL: A Self-Expressive Hypergraph Based Federated Multi-View Learning. Daoyuan Li, Zuyuan Yang, Shengli Xie |
| 2025 | FedPIA - Permuting and Integrating Adapters Leveraging Wasserstein Barycenters for Finetuning Foundation Models in Multi-Modal Federated Learning. Pramit Saha, Divyanshu Mishra, Felix Wagner, Konstantinos Kamnitsas, J. Alison Noble |
| 2025 | FedPop: Federated Population-based Hyperparameter Tuning. Haokun Chen, Denis Krompaß, Jindong Gu, Volker Tresp |
| 2025 | FedSA: A Unified Representation Learning via Semantic Anchors for Prototype-based Federated Learning. Yanbing Zhou, Xiangmou Qu, Chenlong You, Jiyang Zhou, Jingyue Tang, Xin Zheng, Chunmao Cai, Yingbo Wu |
| 2025 | FedSPU: Personalized Federated Learning for Resource-Constrained Devices with Stochastic Parameter Update. Ziru Niu, Hai Dong, A. K. Qin |
| 2025 | FedSum: Data-Efficient Federated Learning Under Data Scarcity Scenario for Text Summarization. Zhiyong Ma, Zhengping Li, Yuanjie Shi, Jian Chen |
| 2025 | FedVCK: Non-IID Robust and Communication-Efficient Federated Learning via Valuable Condensed Knowledge for Medical Image Analysis. Guochen Yan, Luyuan Xie, Xinyi Gao, Wentao Zhang, Qingni Shen, Yuejian Fang, Zhonghai Wu |
| 2025 | Federated Assemblies. Daniel Halpern, Ariel D. Procaccia, Ehud Shapiro, Nimrod Talmon |
| 2025 | Federated Binary Matrix Factorization Using Proximal Optimization. Sebastian Dalleiger, Jilles Vreeken, Michael Kamp |
| 2025 | Federated Causally Invariant Feature Learning. Xianjie Guo, Kui Yu, Lizhen Cui, Han Yu, Xiaoxiao Li |
| 2025 | Federated Foundation Models on Heterogeneous Time Series. Shengchao Chen, Guodong Long, Jing Jiang, Chengqi Zhang |
| 2025 | Federated Graph Anomaly Detection Through Contrastive Learning with Global Negative Pairs. Nannan Wu, Yazheng Zhao, Hongdou Dong, Keao Xi, Wei Yu, Wenjun Wang |
| 2025 | Federated Graph Condensation with Information Bottleneck Principles. Bo Yan, Sihao He, Cheng Yang, Shang Liu, Yang Cao, Chuan Shi |
| 2025 | Federated Graph-Level Clustering Network. Jingxin Liu, Jieren Cheng, Renda Han, Wenxuan Tu, Jiaxin Wang, Xin Peng |
| 2025 | Federated Learning with Heterogeneous LLMs: Integrating Small Student Client Models with a Large Hungry Model. Gautam Jajoo |
| 2025 | Federated Learning with Sample-level Client Drift Mitigation. Haoran Xu, Jiaze Li, Wanyi Wu, Hao Ren |
| 2025 | Federated Recommendation with Explicitly Encoding Item Bias. Zhihao Wang, He Bai, Wenke Huang, Duantengchuan Li, Jian Wang, Bing Li |
| 2025 | Federated Unlearning with Gradient Descent and Conflict Mitigation. Zibin Pan, Zhichao Wang, Chi Li, Kaiyan Zheng, Boqi Wang, Xiaoying Tang, Junhua Zhao |
| 2025 | Federated Unsupervised Domain Generalization Using Global and Local Alignment of Gradients. Farhad Pourpanah, Mahdiyar Molahasani, Milad Soltany, Michael A. Greenspan, Ali Etemad |
| 2025 | Federated Weakly Supervised Video Anomaly Detection with Multimodal Prompt. Benfeng Wang, Chao Huang, Jie Wen, Wei Wang, Yabo Liu, Yong Xu |
| 2025 | Federated t-SNE and UMAP for Distributed Data Visualization. Dong Qiao, Xinxian Ma, Jicong Fan |
| 2025 | Few-Shot Audio-Visual Class-Incremental Learning with Temporal Prompting and Regularization. Yawen Cui, Li Liu, Zitong Yu, Guanjie Huang, Xiaopeng Hong |
| 2025 | Few-Shot Domain Adaptation for Learned Image Compression. Tianyu Zhang, Haotian Zhang, Yuqi Li, Li Li, Dong Liu |
| 2025 | Few-Shot Fine-Grained Image Classification with Progressively Feature Refinement and Continuous Relationship Modeling. Zhen-Xiang Ma, Zhen-Duo Chen, Tai Zheng, Xin Luo, Zixia Jia, Xin-Shun Xu |
| 2025 | Few-Shot Incremental Learning via Foreground Aggregation and Knowledge Transfer for Audio-Visual Semantic Segmentation. Jingqiao Xiu, Mengze Li, Zongxin Yang, Wei Ji, Yifang Yin, Roger Zimmermann |
| 2025 | Few-Shot, No Problem: Descriptive Continual Relation Extraction. Nguyen Xuan Thanh, Anh Duc Le, Quyen Tran, Thanh-Thien Le, Linh Ngo Van, Thien Huu Nguyen |
| 2025 | Fields of The World: A Machine Learning Benchmark Dataset for Global Agricultural Field Boundary Segmentation. Hannah Kerner, Snehal Chaudhari, Aninda Ghosh, Caleb Robinson, Adeel Ahmad, Eddie Choi, Nathan Jacobs, Chris Holmes, Matthias Mohr, Rahul Dodhia, Juan M. Lavista Ferres, Jennifer Marcus |
| 2025 | FigStep: Jailbreaking Large Vision-Language Models via Typographic Visual Prompts. Yichen Gong, Delong Ran, Jinyuan Liu, Conglei Wang, Tianshuo Cong, Anyu Wang, Sisi Duan, Xiaoyun Wang |
| 2025 | Filling Memory Gaps: Enhancing Continual Semantic Parsing via SQL Syntax Variance-Guided LLMs Without Real Data Replay. Ruiheng Liu, Jinyu Zhang, Yanqi Song, Yu Zhang, Bailong Yang |
| 2025 | Filter or Compensate: Towards Invariant Representation from Distribution Shift for Anomaly Detection. Zining Chen, Xingshuang Luo, Weiqiu Wang, Zhicheng Zhao, Fei Su, Aidong Men |
| 2025 | FilterTS: Comprehensive Frequency Filtering for Multivariate Time Series Forecasting. Yulong Wang, Yushuo Liu, Xiaoyi Duan, Kai Wang |
| 2025 | Fine-Grained Graph Representation Learning for Heterogeneous Mobile Networks with Attentive Fusion and Contrastive Learning. Shengheng Liu, Tianqi Zhang, Ningning Fu, Yongming Huang |
| 2025 | Fine-Grained Perception in Panoramic Scenes: A Novel Task, Dataset, and Method for Object Importance Ranking. Jia Song, Chenglizhao Chen, Xu Yu, Shanchen Pang |
| 2025 | Fine-Tuning Language Models with Collaborative and Semantic Experts. Jiaxi Yang, Binyuan Hui, Min Yang, Jian Yang, Lei Zhang, Qiang Qu, Junyang Lin |
| 2025 | Fine-grained Adaptive Visual Prompt for Generative Medical Visual Question Answering. Ting Yu, Zixuan Tong, Jun Yu, Ke Zhang |
| 2025 | First Line of Defense: A Robust First Layer Mitigates Adversarial Attacks. Janani Suresh, Nancy Nayak, Sheetal Kalyani |
| 2025 | First-Order Automata. Luca Geatti, Alessandro Gianola, Nicola Gigante |
| 2025 | First-Order Federated Bilevel Learning. Yifan Yang, Peiyao Xiao, Shiqian Ma, Kaiyi Ji |
| 2025 | Fit and Prune: Fast and Training-free Visual Token Pruning for Multi-modal Large Language Models. Weihao Ye, Qiong Wu, Wenhao Lin, Yiyi Zhou |
| 2025 | Flash Diffusion: Accelerating Any Conditional Diffusion Model for Few Steps Image Generation. Clément Chadebec, Onur Tasar, Eyal Benaroche, Benjamin Aubin |
| 2025 | FlexDataset: Crafting Annotated Dataset Generation for Diverse Applications. Ellen Yi-Ge, Leo Shawn |
| 2025 | FlexPose: Pose Distribution Adaptation with Limited Guidance. Zixiao Wang, Junwu Weng, Mengyuan Liu, Bei Yu |
| 2025 | FlexiTex: Enhancing Texture Generation via Visual Guidance. Dadong Jiang, Xianghui Yang, Zibo Zhao, Sheng Zhang, Jiaao Yu, Zeqiang Lai, Shaoxiong Yang, Chunchao Guo, Xiaobo Zhou, Zhihui Ke |
| 2025 | Flexible Sharpness-Aware Personalized Federated Learning. Xinda Xing, Qiugang Zhan, Xiurui Xie, Yuning Yang, Qiang Wang, Guisong Liu |
| 2025 | FloNa: Floor Plan Guided Embodied Visual Navigation. Jiaxin Li, Weiqi Huang, Zan Wang, Wei Liang, Huijun Di, Feng Liu |
| 2025 | Flow Factorization for Efficient Generative Flow Networks. Jiashun Liu, Chunhui Li, Cheng-Hao Liu, Dianbo Liu, Qingpeng Cai, Ling Pan |
| 2025 | FlowMamba: Learning Point Cloud Scene Flow with Global Motion Propagation. Min Lin, Gangwei Xu, Yun Wang, Xianqi Wang, Xin Yang |
| 2025 | FlowPolicy: Enabling Fast and Robust 3D Flow-Based Policy via Consistency Flow Matching for Robot Manipulation. Qinglun Zhang, Zhen Liu, Haoqiang Fan, Guanghui Liu, Bing Zeng, Shuaicheng Liu |
| 2025 | FoMo: Multi-Modal, Multi-Scale and Multi-Task Remote Sensing Foundation Models for Forest Monitoring. Nikolaos-Ioannis Bountos, Arthur Ouaknine, Ioannis Papoutsis, David Rolnick |
| 2025 | Focus on Local: Finding Reliable Discriminative Regions for Visual Place Recognition. Changwei Wang, Shunpeng Chen, Yukun Song, Rongtao Xu, Zherui Zhang, Jiguang Zhang, Haoran Yang, Yu Zhang, Kexue Fu, Shide Du, Zhiwei Xu, Longxiang Gao, Li Guo, Shibiao Xu |
| 2025 | FoldToken: Learning Protein Language via Vector Quantization and Beyond. Zhangyang Gao, Cheng Tan, Jue Wang, Yufei Huang, Lirong Wu, Stan Z. Li |
| 2025 | Follow-Your-Click: Open-domain Regional Image Animation via Motion Prompts. Yue Ma, Yingqing He, Hongfa Wang, Andong Wang, Leqi Shen, Chenyang Qi, Jixuan Ying, Chengfei Cai, Zhifeng Li, Heung-Yeung Shum, Wei Liu, Qifeng Chen |
| 2025 | Forecasting Competitions with Correlated Events. Rafael M. Frongillo, Manuel E. Lladser, Anish Thilagar, Bo Waggoner |
| 2025 | Foreground-Covering Prototype Generation and Matching for SAM-Aided Few-Shot Segmentation. Suho Park, SuBeen Lee, Hyun Seok Seong, Jaejoon Yoo, Jae-Pil Heo |
| 2025 | Forget to Flourish: Leveraging Machine-Unlearning on Pretrained Language Models for Privacy Leakage. Md. Rafi Ur Rashid, Jing Liu, Toshiaki Koike-Akino, Ye Wang, Shagufta Mehnaz |
| 2025 | Formal Quality Measures for Predictors in Markov Decision Processes. Christel Baier, Sascha Klüppelholz, Jakob Piribauer, Robin Ziemek |
| 2025 | Formal Synthesis of Barrier Certificates Using Fourier Kolmogorov-Arnold Network. Xiongqi Zhang, Junwei Xu, Yang Wang, Dongming Xiang, Wang Lin, Zuohua Ding |
| 2025 | Formally Verified Approximate Policy Iteration. Maximilian Schäffeler, Mohammad Abdulaziz |
| 2025 | Forward KL Regularized Preference Optimization for Aligning Diffusion Policies. Zhao Shan, Chenyou Fan, Shuang Qiu, Jiyuan Shi, Chenjia Bai |
| 2025 | Fostering Epistemic Insights into AI Ethics through a Constructionist Pedagogy: An Interdisciplinary Approach to AI Literacy. Ziyan Lin, Yun Dai |
| 2025 | Foundation Model Driven Appearance Extraction for Robust Multiple Object Tracking. Teng Fu, Haiyang Yu, Ke Niu, Bin Li, Xiangyang Xue |
| 2025 | Foundations of Multi-Agent Learning in Dynamic Environments: Where Reinforcement Learning Meets Strategic Decision-Making. Kaiqing Zhang |
| 2025 | Fourier Guided Adaptive Adversarial Augmentation for Generalization in Visual Reinforcement Learning. Jeong Woon Lee, Hyoseok Hwang |
| 2025 | Frame Order Matters: A Temporal Sequence-Aware Model for Few-Shot Action Recognition. Bozheng Li, Mushui Liu, Gaoang Wang, Yunlong Yu |
| 2025 | Free Lunch in the Forest: Functionally-Identical Pruning of Boosted Tree Ensembles. Youssouf Emine, Alexandre Forel, Idriss Malek, Thibaut Vidal |
| 2025 | Free-Moving Object Reconstruction and Pose Estimation with Virtual Camera. Haixin Shi, Yinlin Hu, Daniel Koguciuk, Juan-Ting Lin, Mathieu Salzmann, David Ferstl |
| 2025 | FreeCap: Hybrid Calibration-Free Motion Capture in Open Environments. Aoru Xue, Yiming Ren, Zining Song, Mao Ye, Xinge Zhu, Yuexin Ma |
| 2025 | FreeGen: Bridging Visual-Linguistic Discrepancies Towards Diffusion-based Pixel-level Data Synthesis. Wenzhuang Wang, Mingcan Ma, Yong Chen, Changqun Xia, Zhenbao Liang, Jia Li |
| 2025 | FreeMask: Rethinking the Importance of Attention Masks for Zero-Shot Video Editing. Lingling Cai, Kang Zhao, Hangjie Yuan, Yingya Zhang, Shiwei Zhang, Kejie Huang |
| 2025 | FreeNet: Liberating Depth-Wise Separable Operations for Building Faster Mobile Vision Architectures. Hao Yu, Haoyu Chen, Wei Peng, Xu Cheng, Guoying Zhao |
| 2025 | FreqTS: Frequency-Aware Token Selection for Accelerating Diffusion Models. Xinye Yang, Yuxin Yang, Haoran Pang, Aaron Xuxiang Tian, Luking Li |
| 2025 | Frequency-Aware Density Control via Reparameterization for High-Quality Rendering of 3D Gaussian Splatting. Zhaojie Zeng, Yuesong Wang, Lili Ju, Tao Guan |
| 2025 | Frequency-Masked Embedding Inference: A Non-Contrastive Approach for Time Series Representation Learning. En Fu, Yanyan Hu |
| 2025 | Friends-MMC: A Dataset for Multi-modal Multi-party Conversation Understanding. Yueqian Wang, Xiaojun Meng, Yuxuan Wang, Jianxin Liang, Qun Liu, Dongyan Zhao |
| 2025 | FriendsQA: A New Large-Scale Deep Video Understanding Dataset with Fine-grained Topic Categorization for Story Videos. Zhengqian Wu, Ruizhe Li, Zijun Xu, Zhongyuan Wang, Chunxia Xiao, Chao Liang |
| 2025 | From 2D CAD Drawings to 3D Parametric Models: A Vision-Language Approach. Xilin Wang, Jia Zheng, Yuanchao Hu, Hao Zhu, Qian Yu, Zihan Zhou |
| 2025 | From Coarse to Fine: A Matching and Alignment Framework for Unsupervised Cross-View Geo-Localization. Xueyi Wang, Lele Zhang, Zheng Fan, Yang Liu, Chen Chen, Fang Deng |
| 2025 | From Complexity to Clarity: Transforming Chest X-ray Reports with Chained Prompting (Student Abstract). Sujoy Nath, Arkaprabha Basu, Kushal Bose, Swagatam Das |
| 2025 | From Crayons to Code: AI-Driven Insights into a Child's Mental Health Through Drawings. Moomal Farhad, Mohammad Mehedy Masud, Aisha Alnaqbi, Rawan Mubarak, Aaisha Aladawi, Sara Alnaqbi |
| 2025 | From Gambits to Assurances: Game-Theoretic Integration of Safety and Learning for Interactive Robotics. Haimin Hu |
| 2025 | From Large Language Models to Large Action Models: Reasoning and Planning with Physical World Knowledge. Manling Li |
| 2025 | From Logistic Regression to the Perceptron Algorithm: Exploring Gradient Descent with Large Step Sizes. Alexander Tyurin |
| 2025 | From PEFT to DEFT: Parameter Efficient Finetuning for Reducing Activation Density in Transformers. Bharat Runwal, Tejaswini Pedapati, Pin-Yu Chen |
| 2025 | From Pairwise to Ranking: Climbing the Ladder to Ideal Collaborative Filtering with Pseudo-Ranking. Yuhan Zhao, Rui Chen, Li Chen, Shuang Zhang, Qilong Han, Hongtao Song |
| 2025 | From Representation Space to Prognostic Insights: Whole Slide Image Generation with Hierarchical Diffusion Model for Survival Prediction. Zhihao Tang, Xi Zhang, Chaozhuo Li |
| 2025 | From Understanding Genetic Drift to a Smart-Restart Mechanism for Estimation-of-Distribution Algorithms (Journal Track). Weijie Zheng, Benjamin Doerr |
| 2025 | From Words to Worth: Newborn Article Impact Prediction with LLM. Penghai Zhao, Qinghua Xing, Kairan Dou, Jinyu Tian, Ying Tai, Jian Yang, Ming-Ming Cheng, Xiang Li |
| 2025 | From Your Block to Our Block: How to Find Shared Structure Between Stochastic Block Models over Multiple Graphs. Iiro Kumpulainen, Sebastian Dalleiger, Jilles Vreeken, Nikolaj Tatti |
| 2025 | Frozen Language Models Are Gradient Coherence Rectifiers in Vision Transformers. Lichen Bai, Zixuan Xiong, Hai Lin, Guangwei Xu, Xiangjin Xie, Ruijie Guo, Zhanhui Kang, Haitao Zheng, Hong-Gee Kim |
| 2025 | Fully Test-time Adaptation for Tabular Data. Zhi Zhou, Kun-Yang Yu, Lan-Zhe Guo, Yufeng Li |
| 2025 | Fully-Scalable Massively Parallel Algorithm for k-center with Outliers. Di Wu, Qilong Feng, Junyu Huang, Jinhui Xu, Ziyun Huang, Jianxin Wang |
| 2025 | FunEditor: Achieving Complex Image Edits via Function Aggregation with Diffusion Models. Mohammadreza Samadi, Fred X. Han, Mohammad Salameh, Hao Wu, Fengyu Sun, Chunhua Zhou, Di Niu |
| 2025 | Functional Connectomes of Neural Networks. Tananun Songdechakraiwut, Yutong Wu |
| 2025 | Fusing Pruned and Backdoored Models: Optimal Transport-based Data-free Backdoor Mitigation. Weilin Lin, Li Liu, Jianze Li, Hui Xiong |
| 2025 | Future Sight and Tough Fights: Revolutionizing Sequential Recommendation with FENRec. Yu-Hsuan Huang, Ling Lo, Hongxia Xie, Hong-Han Shuai, Wen-Huang Cheng |
| 2025 | Fuzzy Collaborative Reasoning. Huanhuan Yuan, Pengpeng Zhao, Jiaqing Fan, Junhua Fang, Guanfeng Liu, Victor S. Sheng |
| 2025 | G-VEval: A Versatile Metric for Evaluating Image and Video Captions Using GPT-4o. Tony Cheng Tong, Sirui He, Zhiwen Shao, Dit-Yan Yeung |
| 2025 | G2LDetect: A Global-to-Local Approach for Hallucination Detection. Xiaoxia Cheng, Zeqi Tan, Zhe Zheng, Weiming Lu |
| 2025 | GARLIC: GPT-Augmented Reinforcement Learning with Intelligent Control for Vehicle Dispatching. Xiao Han, Zijian Zhang, Xiangyu Zhao, Yuanshao Zhu, Guojiang Shen, Xiangjie Kong, Xuetao Wei, Liqiang Nie, Jieping Ye |
| 2025 | GAS: Generative Activation-Aided Asynchronous Split Federated Learning. Jiarong Yang, Yuan Liu |
| 2025 | GBRIP: Granular Ball Representation for Imbalanced Partial Label Learning. Jintao Huang, Yiu-ming Cheung, Chi-Man Vong, Wenbin Qian |
| 2025 | GCAD: Anomaly Detection in Multivariate Time Series from the Perspective of Granger Causality. Zehao Liu, Mengzhou Gao, Pengfei Jiao |
| 2025 | GCD-Sampling: A General Cross-scale Decoupled Sampling for Point Cloud. Tao Dai, Yanzi Wang, Jianyu Xiong, Yaohua Zha, Shu-Tao Xia, Zexuan Zhu |
| 2025 | GCD: Advancing Vision-Language Models for Incremental Object Detection via Global Alignment and Correspondence Distillation. Xu Wang, Zilei Wang, Zihan Lin |
| 2025 | GCF: Estimating Unobserved Demand Using Graph Causal Forecasting. Sayantan Basu, Mohit Kumar, Sivaramakrishnan Kaveri |
| 2025 | GDiffRetro: Retrosynthesis Prediction with Dual Graph Enhanced Molecular Representation and Diffusion Generation. Shengyin Sun, Wenhao Yu, Yuxiang Ren, Weitao Du, Liwei Liu, Xuecang Zhang, Ying Hu, Chen Ma |
| 2025 | GENTEEL-NEGOTIATOR: LLM-Enhanced Mixture-of-Expert-Based Reinforcement Learning Approach for Polite Negotiation Dialogue. Priyanshu Priya, Rishikant Chigrupaatii, Mauajama Firdaus, Asif Ekbal |
| 2025 | GEONet: Global Enhancement and Optimization Network for Lane Detection. Suyang Xi, Yunhao Liu, Hong Ding, Mingshuo Wang, Zhenghan Chen, Xiaoxuan Liang |
| 2025 | GFlow: Recovering 4D World from Monocular Video. Shizun Wang, Xingyi Yang, Qiuhong Shen, Zhenxiang Jiang, Xinchao Wang |
| 2025 | GGS: Generalizable Gaussian Splatting for Lane Switching in Autonomous Driving. Huasong Han, Kaixuan Zhou, Xiaoxiao Long, Yusen Wang, Chunxia Xiao |
| 2025 | GHOST: Gaussian Hypothesis Open-Set Technique. Ryan Rabinowitz, Steve Cruz, Manuel Günther, Terrance E. Boult |
| 2025 | GIM: A Million-scale Benchmark for Generative Image Manipulation Detection and Localization. Yirui Chen, Xudong Huang, Quan Zhang, Wei Li, Mingjian Zhu, Qiangyu Yan, Simiao Li, Hanting Chen, Hailin Hu, Jie Yang, Wei Liu, Jie Hu |
| 2025 | GIST: Gear Type Identification by Spatiotemporal Trajectory Transformation for Monitoring Fisheries. Amir Yaghoubi Shahir, Tilemachos Charalampous, Mahsa Keramati, Fatemeh Movafagh, Uwe Glässer, Hans Wehn |
| 2025 | GLAD: Improving Latent Graph Generative Modeling with Simple Quantization. Van Khoa Nguyen, Yoann Boget, Frantzeska Lavda, Alexandros Kalousis |
| 2025 | GLAM: Global-Local Variation Awareness in Mamba-based World Model. Qian He, Wenqi Liang, Chunhui Hao, Gan Sun, Jiandong Tian |
| 2025 | GLCF: A Global-Local Multimodal Coherence Analysis Framework for Talking Face Generation Detection. Xiaocan Chen, Qilin Yin, Jiarui Liu, Wei Lu, Xiangyang Luo, Jiantao Zhou |
| 2025 | GLEN: Generalized Focal Loss Ensemble of Low-Rank Networks for Calibrated Visual Question Answering. Mahsa Mozaffari, Hitesh Sapkota, Qi Yu |
| 2025 | GLIC: General Format Learned Image Compression. Mingsheng Zhou, Mingming Kong |
| 2025 | GMAP: Generalized Manipulation of Articulated Objects in Robotic Using Pre-trained Model. Hongliang Zeng, Ping Zhang, Fang Li, Qinpeng Yi, Tingyu Ye, Jiahua Wang |
| 2025 | GNN-Transformer Cooperative Architecture for Trustworthy Graph Contrastive Learning. Jianqing Liang, Xinkai Wei, Min Chen, Zhiqiang Wang, Jiye Liang |
| 2025 | GNN-Transformer Task Planning Enhanced with Semantic-Driven Data Augmentation. Soojin Jeong, Seongwan Byeon, Sangwoo Kim, Hyeokjun Kwon, Yoonseon Oh |
| 2025 | GNS: Solving Plane Geometry Problems by Neural-Symbolic Reasoning with Multi-Modal LLMs. Maizhen Ning, Zihao Zhou, Qiufeng Wang, Xiaowei Huang, Kaizhu Huang |
| 2025 | GODDS: The Global Online Deepfake Detection System. Marco Postiglione, Julian Baldwin, Natalia Denisenko, Luke Fosdick, Chongyang Gao, Isabel Gortner, Chiara Pulice, Sarit Kraus, V. S. Subrahmanian |
| 2025 | GPU-Accelerated Parallel Bilevel Optimization for Roubst 6G ISAC. Xingdi Chen, Kai Yang |
| 2025 | GRAIN: Multi-Granular and Implicit Information Aggregation Graph Neural Network for Heterophilous Graphs. Songwei Zhao, Yuan Jiang, Zijing Zhang, Yang Yu, Hechang Chen |
| 2025 | GRICP: Granular-Ball Iterative Closest Point with Multikernel Correntropy for Point Cloud Fine Registration. Yihao, Limei Hu, Feng Chen, Sen Zhao, Shukai Duan |
| 2025 | GRPose: Learning Graph Relations for Human Image Generation with Pose Priors. Xiangchen Yin, Donglin Di, Lei Fan, Hao Li, Wei Chen, Gouxiao Fei, Yang Song, Xiao Sun, Xun Yang |
| 2025 | GRSN: Gated Recurrent Spiking Neurons for POMDPs and MARL. Lang Qin, Ziming Wang, Runhao Jiang, Rui Yan, Huajin Tang |
| 2025 | GSDiff: Synthesizing Vector Floorplans via Geometry-enhanced Structural Graph Generation. Sizhe Hu, Wenming Wu, Yuntao Wang, Benzhu Xu, Liping Zheng |
| 2025 | GTDE: Grouped Training with Decentralized Execution for Multi-agent Actor-Critic. Mengxian Li, Qi Wang, Yongjun Xu |
| 2025 | GTG: Generalizable Trajectory Generation Model for Urban Mobility. Jingyuan Wang, Yujing Lin, Yudong Li |
| 2025 | GURecon: Learning Detailed 3D Geometric Uncertainties for Neural Surface Reconstruction. Zesong Yang, Ru Zhang, Jiale Shi, Zixiang Ai, Boming Zhao, Hujun Bao, Luwei Yang, Zhaopeng Cui |
| 2025 | GVMGen: A General Video-to-Music Generation Model with Hierarchical Attentions. Heda Zuo, Weitao You, Junxian Wu, Shihong Ren, Pei Chen, Mingxu Zhou, Yujia Lu, Lingyun Sun |
| 2025 | GaitCycFormer: Leveraging Gait Cycles and Transformers for Gait Emotion Recognition. Qingyang Zeng, Lin Shang |
| 2025 | Game4Loc: A UAV Geo-Localization Benchmark from Game Data. Yuxiang Ji, Boyong He, Zhuoyue Tan, Liaoni Wu |
| 2025 | GapMatch: Bridging Instance and Model Perturbations for Enhanced Semi-Supervised Medical Image Segmentation. Wei Huang, Lei Zhang, Zizhou Wang, Yan Wang |
| 2025 | GarFast: Realistic and Fast Garment Transfer with a Simplified Parser-Free Approach. Chenghu Du, Junyin Wang, Yi Rong, Feng Yu, Shengwu Xiong |
| 2025 | GaraMoSt: Parallel Multi-Granularity Motion and Structural Modeling for Efficient Multi-Frame Interpolation in DSA Images. Ziyang Xu, Huangxuan Zhao, Wenyu Liu, Xinggang Wang |
| 2025 | Gaussian Graphical Modelling Without Independence Assumptions for Uncentered Data. Bailey Andrew, David R. Westhead, Luisa Cutillo |
| 2025 | GaussianPainter: Painting Point Cloud into 3D Gaussians with Normal Guidance. Jingqiu Zhou, Lue Fan, Xuesong Chen, Linjiang Huang, Si Liu, Hongsheng Li |
| 2025 | GaussianSR: High Fidelity 2D Gaussian Splatting for Arbitrary-Scale Image Super-Resolution. Jintong Hu, Bin Xia, Bin Chen, Wenming Yang, Lei Zhang |
| 2025 | Gaze Label Alignment: Alleviating Domain Shift for Gaze Estimation. Guanzhong Zeng, Jingjing Wang, Zefu Xu, Pengwei Yin, Wenqi Ren, Di Xie, Jiang Zhu |
| 2025 | GeCC: Generalized Contrastive Clustering with Domain Shifts Modeling. Yujie Chen, Wenhui Wu, Le Ou-Yang, Ran Wang, Debby Dan Wang |
| 2025 | GenAL: Generative Agent for Adaptive Learning. Rui Lv, Qi Liu, Weibo Gao, Haotian Zhang, Junyu Lu, Linbo Zhu |
| 2025 | GenAuction: A Generative Auction for Online Advertising. Yuchao Ma, Ruohan Qian, Bingzhe Wang, Qi Qi, Wenqiang Liu, Qian Tang, Zhao Shen, Wei Zhong, Bo Shen, Yixin Su, Bin Zou, Wen Yi, Zhi Guo, Shuanglong Li, Lin Liu |
| 2025 | GenHMR: Generative Human Mesh Recovery. Muhammad Usama Saleem, Ekkasit Pinyoanuntapong, Pu Wang, Hongfei Xue, Srijan Das, Chen Chen |
| 2025 | GenPlan: Generative Sequence Models as Adaptive Planners. Akash Karthikeyan, Yash Vardhan Pant |
| 2025 | General Uncertainty Estimation with Delta Variances. Simon Schmitt, John Shawe-Taylor, Hado van Hasselt |
| 2025 | Generalizable Disaster Damage Assessment via Change Detection with Vision Foundation Model. Kyeongjin Ahn, Sungwon Han, Sungwon Park, Jihee Kim, Sangyoon Park, Meeyoung Cha |
| 2025 | Generalizable Sensor-Based Activity Recognition via Categorical Concept Invariant Learning. Di Xiong, Shuoyuan Wang, Lei Zhang, Wenbo Huang, Chaolei Han |
| 2025 | Generalization Analysis for Deep Contrastive Representation Learning. Nong Minh Hieu, Antoine Ledent, Yunwen Lei, Cheng Yeaw Ku |
| 2025 | Generalization of Graph Neural Networks Is Robust to Model Mismatch. Zhiyang Wang, Juan Cerviño, Alejandro Ribeiro |
| 2025 | Generalized Class Discovery in Instance Segmentation. Cuong Manh Hoang, Yeejin Lee, Byeongkeun Kang |
| 2025 | Generalized Convergence Analysis of Tsetlin Automaton Based Algorithms: A Probabilistic Approach to Concept Learning. Mohamed-Bachir Belaid, Jivitesh Sharma, Lei Jiao, Ole-Christoffer Granmo, Per-Arne Andersen, Anis Yazidi |
| 2025 | Generalized Debiased Semi-Supervised Hashing for Large-Scale Image Retrieval. Xingbo Liu, Xuening Zhang, Xiushan Nie, Yang Shi, Yilong Yin |
| 2025 | Generalized Dimension Reduction Using Semi-Relaxed Gromov-Wasserstein Distance. Ranthony A. Clark, Tom Needham, Thomas Weighill |
| 2025 | Generalized Implicit Neural Representations for Dynamic Molecular Surface Modeling. Fang Wu, Bozhen Hu, Stan Z. Li |
| 2025 | Generalized Zero-Shot Learning for Point Cloud Segmentation with Evidence-Based Dynamic Calibration. Hyeonseok Kim, Byeongkeun Kang, Yeejin Lee |
| 2025 | Generalizing Alignment Paradigm of Text-to-Image Generation with Preferences Through f-Divergence Minimization. Haoyuan Sun, Bo Xia, Yongzhe Chang, Xueqian Wang |
| 2025 | Generalizing Constraint Models in Constraint Acquisition. Dimos Tsouros, Senne Berden, Steven Prestwich, Tias Guns |
| 2025 | Generating Counterfactual Explanations Under Temporal Constraints. Andrei Buliga, Chiara Di Francescomarino, Chiara Ghidini, Marco Montali, Massimiliano Ronzani |
| 2025 | Generating Synthetic Data for Unsupervised Federated Learning of Cross-Modal Retrieval. Tianlong Zhang, Zhe Xue, Adnan Mahmood, Junping Du, Yuchen Dong, Shilong Ou, Lang Feng, Ming-Hsuan Yang, Yuankai Qi |
| 2025 | Generating Traffic Scenarios via In-Context Learning to Learn Better Motion Planner. Aizierjiang Aiersilan |
| 2025 | Generative Flow Networks for Lead Optimization in Drug Design (Student Abstract). Akshat Santhana Gopalan, Sowmya Ramaswamy Krishnan |
| 2025 | Generative Medical Segmentation. Jiayu Huo, Xi Ouyang, Sébastien Ourselin, Rachel Sparks |
| 2025 | Generative Planning with 3D-Vision Language Pre-training for End-to-End Autonomous Driving. Tengpeng Li, Hanli Wang, Xianfei Li, Wenlong Liao, Tao He, Pai Peng |
| 2025 | Generative Video Diffusion for Unseen Novel Semantic Video Moment Retrieval. Dezhao Luo, Shaogang Gong, Jiabo Huang, Hailin Jin, Yang Liu |
| 2025 | GenesisTex2: Stable, Consistent and High-Quality Text-to-Texture Generation. Jiawei Lu, Yingpeng Zhang, Zengjun Zhao, He Wang, Kun Zhou, Tianjia Shao |
| 2025 | Genomics Data Lossless Compression with (S, K)-Mer Encoding and Deep Neural Networks. Hui Sun, Liping Yi, Huidong Ma, Yongxia Sun, Yingfeng Zheng, Wenwen Cui, Meng Yan, Gang Wang, Xiaoguang Liu |
| 2025 | GeoAggregator: An Efficient Transformer Model for Geo-Spatial Tabular Data. Rui Deng, Ziqi Li, Mingshu Wang |
| 2025 | GeoBEV: Learning Geometric BEV Representation for Multi-view 3D Object Detection. Jinqing Zhang, Yanan Zhang, Yunlong Qi, Zehua Fu, Qingjie Liu, Yunhong Wang |
| 2025 | GeoMamba: Towards Multi-granular POI Recommendation with Geographical State Space Model. Yifang Qin, Jiaxuan Xie, Zhiping Xiao, Ming Zhang |
| 2025 | GeoPro-Net: Learning Interpretable Spatiotemporal Prediction Models Through Statistically-Guided Geo-Prototyping. Bang An, Xun Zhou, Zirui Zhou, Ronilo J. Ragodos, Zenglin Xu, Jun Luo |
| 2025 | Geodesic Flow Kernels for Semi-Supervised Learning on Mixed-Variable Tabular Dataset. Yoontae Hwang, Yongjae Lee |
| 2025 | Geolocation Representation from Large Language Models Are Generic Enhancers for Spatio-Temporal Learning. Junlin He, Tong Nie, Wei Ma |
| 2025 | Geometry-Aware 3D Salient Object Detection Network. Chen Wang, Liyuan Zhang, Le Hui, Qi Liu, Yuchao Dai |
| 2025 | Germane Conflicts: Desirable Properties for Localising Inconsistency. Glauber De Bona, Anthony Hunter |
| 2025 | Ghidorah: Towards Robust Multi-Scale Information Diffusion Prediction via Test-Time Training. Wenting Zhu, Chaozhuo Li, Litian Zhang, Senzhang Wang, Xi Zhang |
| 2025 | GigaGS: 3D Gaussian Based Planar Representation for Large-Scene Surface Reconstruction. Junyi Chen, Weicai Ye, Yifan Wang, Danpeng Chen, Di Huang, Wanli Ouyang, Guofeng Zhang, Yu Qiao, Tong He |
| 2025 | Giving Cars Eyes: Using Computer Vision to Prevent Road Traffic Accidents in Nigeria. Chidiogo Nwabuike |
| 2025 | Global Attribute-Association Pattern Aggregation for Graph Fraud Detection. Mingjiang Duan, Da He, Tongya Zheng, Lingxiang Jia, Mingli Song, Xinyu Wang, Zunlei Feng |
| 2025 | Global Graph Propagation with Hierarchical Information Transfer for Incomplete Contrastive Multi-view Clustering. Guoqing Chao, Kaixin Xu, Xijiong Xie, Yongyong Chen |
| 2025 | Global-Semantic Alignment Distillation for Partial Multi-view Classification. Xiaoli Wang, Anqi Huang, Yongli Wang, Guanzhou Ke, Xiaobin Hong, Jun Liu |
| 2025 | GlyphDraw2: Automatic Generation of Complex Glyph Posters with Diffusion Models and Large Language Models. Jian Ma, Yonglin Deng, Chen Chen, Nanyang Du, Haonan Lu, Zhenyu Yang |
| 2025 | GlyphSR: A Simple Glyph-Aware Framework for Scene Text Image Super-Resolution. Baole Wei, Yuxuan Zhou, Liangcai Gao, Zhi Tang |
| 2025 | GoBERT: Gene Ontology Graph Informed BERT for Universal Gene Function Prediction. Yuwei Miao, Yuzhi Guo, Hehuan Ma, Jingquan Yan, Feng Jiang, Rui Liao, Junzhou Huang |
| 2025 | GoHD: Gaze-oriented and Highly Disentangled Portrait Animation with Rhythmic Poses and Realistic Expressions. Ziqi Zhou, Weize Quan, Hailin Shi, Wei Li, Lili Wang, Dong-Ming Yan |
| 2025 | Goal-Driven Reasoning in DatalogMTL with Magic Sets. Shaoyu Wang, Kaiyue Zhao, Dongliang Wei, Przemyslaw Andrzej Walega, Dingmin Wang, Hongming Cai, Pan Hu |
| 2025 | GraSP: Simple Yet Effective Graph Similarity Predictions. Haoran Zheng, Jieming Shi, Renchi Yang |
| 2025 | GradQ-ViT: Robust and Efficient Gradient Quantization for Vision Transformers. Dahun Choi, Hyun Kim |
| 2025 | Gradient Alignment Improves Test-Time Adaptation for Medical Image Segmentation. Ziyang Chen, Yiwen Ye, Yongsheng Pan, Yong Xia |
| 2025 | Gradient Weight-normalized Low-rank Projection for Efficient LLM Training. Jia-Hong Huang, Yixian Shen, Hongyi Zhu, Stevan Rudinac, Evangelos Kanoulas |
| 2025 | Gradient-Based Nonlinear Rehearsal Learning with Multivariate Alterations. Tian Qin, Tian-Zuo Wang, Zhi-Hua Zhou |
| 2025 | Gradient-Based Sample Selection for Black-Box Universal Domain Adaptation. Qiuyan He, Minghua Deng |
| 2025 | Gradient-Guided Credit Assignment and Joint Optimization for Dependency-Aware Spatial Crowdsourcing. Yafei Li, Wei Chen, Jinxing Yan, Huiling Li, Lei Gao, Mingliang Xu |
| 2025 | Granularity-Adaptive Spatial Evidence Tokenization for Video Question Answering. Hao Jiang, Yang Jin, Zhicheng Sun, Kun Xu, Liwei Chen, Yang Song, Kun Gai, Yadong Mu |
| 2025 | Graph Agent Network: Empowering Nodes with Inference Capabilities for Adversarial Resilience. Ao Liu, Wenshan Li, Tao Li, Beibei Li, Guangquan Xu, Pan Zhou, Wengang Ma, Hanyuan Huang |
| 2025 | Graph Coarsening via Supervised Granular-Ball for Scalable Graph Neural Network Training. Shuyin Xia, Xinjun Ma, Zhiyuan Liu, Cheng Liu, Sen Zhao, Guoyin Wang |
| 2025 | Graph Consistency and Diversity Measurement for Federated Multi-View Clustering. Bohang Sun, Yongjian Deng, Yuena Lin, Qiuru Hai, Zhen Yang, Gengyu Lyu |
| 2025 | Graph Contrastive Learning with Joint Spectral Augmentation of Attribute and Topology. Liang Yang, Zhenna Li, Jiaming Zhuo, Jing Liu, Ziyi Ma, Chuan Wang, Zhen Wang, Xiaochun Cao |
| 2025 | Graph Mixture of Experts and Memory-augmented Routers for Multivariate Time Series Anomaly Detection. Xiaoyu Huang, Weidong Chen, Bo Hu, Zhendong Mao |
| 2025 | Graph Segmentation and Contrastive Enhanced Explainer for Graph Neural Networks. Zhiqiang Wang, Jiayu Guo, Jianqing Liang, Jiye Liang, Shiying Cheng, Jiarong Zhang |
| 2025 | Graph Structure Learning for Spatial-Temporal Imputation: Adapting to Node and Feature Scales. Xinyu Yang, Yu Sun, Xinyang Chen, Ying Zhang, Xiaojie Yuan |
| 2025 | Graph Structure Refinement with Energy-based Contrastive Learning. Xianlin Zeng, Yufeng Wang, Yuqi Sun, Guodong Guo, Wenrui Ding, Baochang Zhang |
| 2025 | Graph-Based Cross-Domain Knowledge Distillation for Cross-Dataset Text-to-Image Person Retrieval. Bingjun Luo, Jinpeng Wang, Zewen Wang, Junjie Zhu, Xibin Zhao |
| 2025 | GraphAvatar: Compact Head Avatars with GNN-Generated 3D Gaussians. Xiaobao Wei, Peng Chen, Ming Lu, Hui Chen, Feng Tian |
| 2025 | GraphMoRE: Mitigating Topological Heterogeneity via Mixture of Riemannian Experts. Zihao Guo, Qingyun Sun, Haonan Yuan, Xingcheng Fu, Min Zhou, Yisen Gao, Jianxin Li |
| 2025 | Graphic Design with Large Multimodal Model. Yutao Cheng, Zhao Zhang, Maoke Yang, Hui Nie, Chunyuan Li, Xinglong Wu, Jie Shao |
| 2025 | Grimm: A Plug-and-Play Perturbation Rectifier for Graph Neural Networks Defending Against Poisoning Attacks. Ao Liu, Wenshan Li, Beibei Li, Wengang Ma, Tao Li, Pan Zhou |
| 2025 | Grounded Multi-Hop VideoQA in Long-Form Egocentric Videos. Qirui Chen, Shangzhe Di, Weidi Xie |
| 2025 | Guaranteeing Out-Of-Distribution Detection in Deep RL via Transition Estimation. Mohit Prashant, Arvind Easwaran, Suman Das, Michael Yuhas |
| 2025 | GuideNER: Annotation Guidelines Are Better than Examples for In-Context Named Entity Recognition. Shizhou Huang, Bo Xu, Yang Yu, Changqun Li, Xin Alex Lin |
| 2025 | Guided Real Image Dehazing Using YCbCr Color Space. Wenxuan Fang, Junkai Fan, Yu Zheng, Jiangwei Weng, Ying Tai, Jun Li |
| 2025 | Guided and Variance-Corrected Fusion with One-shot Style Alignment for Large-Content Image Generation. Shoukun Sun, Min Xian, Tiankai Yao, Fei Xu, Luca Capriotti |
| 2025 | H-MBA: Hierarchical MamBa Adaptation for Multi-Modal Video Understanding in Autonomous Driving. Siran Chen, Yuxiao Luo, Yue Ma, Yu Qiao, Yali Wang |
| 2025 | HC-LLM: Historical-Constrained Large Language Models for Radiology Report Generation. Tengfei Liu, Jiapu Wang, Yongli Hu, Mingjie Li, Junfei Yi, Xiaojun Chang, Junbin Gao, Baocai Yin |
| 2025 | HDLayout: Hierarchical and Directional Layout Planning for Arbitrary Shaped Visual Text Generation. Tonghui Feng, Chunsheng Yan, Qianru Wang, Jiangtao Cui, Xiaotian Qiao |
| 2025 | HDT: Hierarchical Discrete Transformer for Multivariate Time Series Forecasting. Shibo Feng, Peilin Zhao, Liu Liu, Pengcheng Wu, Zhiqi Shen |
| 2025 | HEP-NAS: Towards Efficient Few-shot Neural Architecture Search via Hierarchical Edge Partitioning. Jianfeng Li, Jiawen Zhang, Feng Wang, Lianbo Ma |
| 2025 | HEROS-GAN: Honed-Energy Regularized and Optimal Supervised GAN for Enhancing Accuracy and Range of Low-Cost Accelerometers. Yifeng Wang, Yi Zhao |
| 2025 | HFF-Tracker: A Hierarchical Fine-grained Fusion Tracker for Referring Multi-Object Tracking. Zeyong Zhao, Yanchao Hao, Minghao Zhang, Qingbin Liu, Bo Li, Dianbo Sui, Shizhu He, Xi Chen |
| 2025 | HGSFusion: Radar-Camera Fusion with Hybrid Generation and Synchronization for 3D Object Detection. Zijian Gu, Jianwei Ma, Yan Huang, Honghao Wei, Zhanye Chen, Hui Zhang, Wei Hong |
| 2025 | HHAN: Comprehensive Infectious Disease Source Tracing via Heterogeneous Hypergraph Neural Network. Qiang He, Yunting Bao, Hui Fang, Yuting Lin, Hao Sun |
| 2025 | HI-DR: Exploiting Health Status-Aware Attention and an EHR Graph+ for Effective Medication Recommendation. Taeri Kim, Jiho Heo, Hyunjoon Kim, Sang-Wook Kim |
| 2025 | HLMEA: Unsupervised Entity Alignment Based on Hybrid Language Models. Xiongnan Jin, Zhilin Wang, Jinpeng Chen, Liu Yang, Byungkook Oh, Seung-won Hwang, Jianqiang Li |
| 2025 | HOGSA: Bimanual Hand-Object Interaction Understanding with 3D Gaussian Splatting Based Data Augmentation. Wentian Qu, Jiahe Li, Jian Cheng, Jian Shi, Chenyu Meng, Cuixia Ma, Hongan Wang, Xiaoming Deng, Yinda Zhang |
| 2025 | HOIMamba: Efficient Mamba-based Disentangled Progressive Learning for HOI Detection. Yongchao Xu, Jiawei Liu, Sen Tao, Qiang Zhang, Zheng-Jun Zha |
| 2025 | HS-FPN: High Frequency and Spatial Perception FPN for Tiny Object Detection. Zican Shi, Jing Hu, Jie Ren, Hengkang Ye, Xuyang Yuan, Yan Ouyang, Jia He, Bo Ji, Junyu Guo |
| 2025 | HSEvo: Elevating Automatic Heuristic Design with Diversity-Driven Harmony Search and Genetic Algorithm Using LLMs. Pham Vu Tuan Dat, Long Doan, Huynh Thi Thanh Binh |
| 2025 | HSOD-BIT-V2: A Challenging Benchmark for Hyperspectral Salient Object Detection. Yuhao Qiu, Shuyan Bai, Tingfa Xu, Peifu Liu, Haolin Qin, Jianan Li |
| 2025 | HSRDiff: A Hierarchical Self-Regulation Diffusion Model for Stochastic Semantic Segmentation. Han Yang, Chuanguang Yang, Zhulin An, Libo Huang, Yongjun Xu |
| 2025 | HUANG: A Robust Diffusion Model-based Targeted Adversarial Attack Against Deep Hashing Retrieval. Chihan Huang, Xiaobo Shen |
| 2025 | HVAdam: A Full-Dimension Adaptive Optimizer. Yiheng Zhang, Shaowu Wu, Yuanzhuo Xu, Jiajun Wu, Shang Xu, Steve Drew, Xiaoguang Niu |
| 2025 | HVDualformer: Histogram-Vision Dual Transformer for White Balance. Yan-Tsung Peng, Guan-Rong Chen |
| 2025 | HVIS: A Human-like Vision and Inference System for Human Motion Prediction. Kedi Lyu, Haipeng Chen, Zhenguang Liu, Yifang Yin, Yukang Lin, Yingying Jiao |
| 2025 | HYBOOD: A Hybrid Generative Model for Out-of-Distribution Detection with Corruption Estimation. Giwoong Lee, Jiseung Ahn, Jeongyeol Choe |
| 2025 | HYGENE: A Diffusion-Based Hypergraph Generation Method. Dorian Gailhard, Enzo Tartaglione, Lirida Naviner, Jhony H. Giraldo |
| 2025 | HaCore: Efficient Coreset Construction with Locality Sensitive Hashing for Vertical Federated Learning. Qinbo Zhang, Xiao Yan, Yukai Ding, Fangcheng Fu, Quanqing Xu, Ziyi Li, Chuang Hu, Jiawei Jiang |
| 2025 | Hand1000: Generating Realistic Hands from Text with Only 1, 000 Images. Haozhuo Zhang, Bin Zhu, Yu Cao, Yanbin Hao |
| 2025 | HandDiffuse: Generative Controllers for Two-Hand Interactions via Diffusion Models. Pei Lin |
| 2025 | Hansel: Output Length Controlling Framework for Large Language Models. Seoha Song, Junhyun Lee, Hyeonmok Ko |
| 2025 | Harmonious Music-driven Group Choreography with Trajectory-Controllable Diffusion. Yuqin Dai, Wanlu Zhu, Ronghui Li, Zeping Ren, Xiangzheng Zhou, Jixuan Ying, Jun Li, Jian Yang |
| 2025 | Harmonizing Visual and Textual Embeddings for Zero-Shot Text-to-Image Customization. Yeji Song, Jimyeong Kim, Wonhark Park, Wonsik Shin, Wonjong Rhee, Nojun Kwak |
| 2025 | Harnessing Event Sensory Data for Error Pattern Prediction in Vehicles: A Language Model Approach. Hugo Math, Rainer Lienhart, Robin Schön |
| 2025 | Harnessing Language Model for Cross-Heterogeneity Graph Knowledge Transfer. Jinyu Yang, Ruijia Wang, Cheng Yang, Bo Yan, Qimin Zhou, Yang Juan, Chuan Shi |
| 2025 | Harnessing Large Language Models for Knowledge Graph Question Answering via Adaptive Multi-Aspect Retrieval-Augmentation. Derong Xu, Xinhang Li, Ziheng Zhang, Zhenxi Lin, Zhihong Zhu, Zhi Zheng, Xian Wu, Xiangyu Zhao, Tong Xu, Enhong Chen |
| 2025 | Harnessing Multimodal Large Language Models for Multimodal Sequential Recommendation. Yuyang Ye, Zhi Zheng, Yishan Shen, Tianshu Wang, Hengruo Zhang, Peijun Zhu, Runlong Yu, Kai Zhang, Hui Xiong |
| 2025 | Harnessing Robust Statistics for Trustworthy AI. Xiaorui Liu |
| 2025 | Hateful Meme Detection through Context-Sensitive Prompting and Fine-Grained Labeling (Student Abstract). Rongxin Ouyang, Kokil Jaidka, Subhayan Mukerjee, Guangyu Cui |
| 2025 | HeGTa: Leveraging Heterogeneous Graph-enhanced Large Language Models for Few-shot Complex Table Understanding. Rihui Jin, Yu Li, Guilin Qi, Nan Hu, Yuan-Fang Li, Jiaoyan Chen, Jianan Wang, Yongrui Chen, Dehai Min, Sheng Bi |
| 2025 | HeMeNet: Heterogeneous Multichannel Equivariant Network for Protein Multi-task Learning. Rong Han, Wenbing Huang, Lingxiao Luo, Xinyan Han, Jiaming Shen, Zhiqiang Zhang, Jun Zhou, Ting Chen |
| 2025 | HePa: Heterogeneous Graph Prompting for All-Level Classification Tasks. Jia Jinghong, Lei Song, Jiaxing Li, Youyong Kong |
| 2025 | Hedging and Approximate Truthfulness in Traditional Forecasting Competitions. Mary Monroe, Anish Thilagar, Melody Hsu, Rafael M. Frongillo |
| 2025 | HeterGP: Bridging Heterogeneity in Graph Neural Networks with Multi-View Prompting. Fengyu Yan, Xiaobao Wang, Dongxiao He, Longbiao Wang, Jianwu Dang, Di Jin |
| 2025 | Heterogeneous Graph Neural Network on Semantic Tree. Mingyu Guan, Jack W. Stokes, Qinlong Luo, Fuchen Liu, Purvanshi Mehta, Elnaz Nouri, Taesoo Kim |
| 2025 | Heterogeneous Multi-Agent Bandits with Parsimonious Hints. Amirmahdi Mirfakhar, Xuchuang Wang, Jinhang Zuo, Yair Zick, Mohammad Hajiesmaili |
| 2025 | Heterogeneous Multi-Robot Graph Coverage with Proximity and Movement Constraints. Dolev Mutzari, Yonatan Aumann, Sarit Kraus |
| 2025 | Heterogeneous Prompt-Guided Entity Inferring and Distilling for Scene-Text Aware Cross-Modal Retrieval. Zhiqian Zhao, Liang Li, Jiehua Zhang, Yaoqi Sun, Xichun Sheng, Haibing Yin, Shaowei Jiang |
| 2025 | Heuristic-free Knowledge Distillation for Streaming ASR via Multi-modal Training. Ji Won Yoon |
| 2025 | HiCM²: Hierarchical Compact Memory Modeling for Dense Video Captioning. Minkuk Kim, Hyeon Bae Kim, Jinyoung Moon, Jinwoo Choi, Seong Tae Kim |
| 2025 | HiGDA: Hierarchical Graph of Nodes to Learn Local-to-Global Topology for Semi-Supervised Domain Adaptation. Ba Hung Ngo, Doanh C. Bui, Nhat-Tuong Do-Tran, Tae Jong Choi |
| 2025 | HiPoser: 3D Human Pose Estimation with Hierarchical Shared Learning at Parts-Level Using Inertial Measurement Units. Guorui Liao, Chunyuan Zheng, Li Cheng, Haoyu Xie, Shanshan Huang, Jun Liao, Haoxuan Li, Li Liu |
| 2025 | HiRED: Attention-Guided Token Dropping for Efficient Inference of High-Resolution Vision-Language Models. Kazi Hasan Ibn Arif, JinYi Yoon, Dimitrios S. Nikolopoulos, Hans Vandierendonck, Deepu John, Bo Ji |
| 2025 | Hide Exposures by Removing Mastermind's External Sources on Social Network (Student Abstract). Nilanjana Saha, Narayan Changder, Redha Taguelmimt, Samir Aknine, Animesh Dutta |
| 2025 | HieraFashDiff: Hierarchical Fashion Design with Multi-stage Diffusion Models. Zhifeng Xie, Hao Li, Huiming Ding, Mengtian Li, Xinhan Di, Ying Cao |
| 2025 | Hierarchical Alignment-enhanced Adaptive Grounding Network for Generalized Referring Expression Comprehension. Yaxian Wang, Henghui Ding, Shuting He, Xudong Jiang, Bifan Wei, Jun Liu |
| 2025 | Hierarchical Classification Auxiliary Network for Time Series Forecasting. Yanru Sun, Zongxia Xie, Dongyue Chen, Emadeldeen Eldele, Qinghua Hu |
| 2025 | Hierarchical Consensus Network for Multiview Feature Learning. Chengwei Xia, Chaoxi Niu, Kun Zhan |
| 2025 | Hierarchical Context Pruning: Optimizing Real-World Code Completion with Repository-Level Pretrained Code LLMs. Lei Zhang, Yunshui Li, Jiaming Li, Xiaobo Xia, Jiaxi Yang, Run Luo, Minzheng Wang, Longze Chen, Junhao Liu, Qiang Qu, Min Yang |
| 2025 | Hierarchical Cross-Modal Alignment for Open-Vocabulary 3D Object Detection. Youjun Zhao, Jiaying Lin, Rynson W. H. Lau |
| 2025 | Hierarchical Divide-and-Conquer for Fine-Grained Alignment in LLM-Based Medical Evaluation. Shunfan Zheng, Xiechi Zhang, Gerard de Melo, Xiaoling Wang, Linlin Wang |
| 2025 | Hierarchical Gradient-Based Genetic Sampling for Accurate Prediction of Biological Oscillations. Heng Rao, Yu Gu, Jason Zipeng Zhang, Ge Yu, Yang Cao, Minghan Chen |
| 2025 | Hierarchical Mixture of Experts: Generalizable Learning for High-Level Synthesis. Weikai Li, Ding Wang, Zijian Ding, Atefeh Sohrabizadeh, Zongyue Qin, Jason Cong, Yizhou Sun |
| 2025 | Hierarchical Multi-Agent Framework for Carbon-Efficient Liquid-Cooled Data Center Clusters. Soumyendu Sarkar, Avisek Naug, Antonio Guillen, Vineet Gundecha, Ricardo Luna Gutiérrez, Sahand Ghorbanpour, Sajad Mousavi, Ashwin Ramesh Babu, Desik Rengarajan, Cullen E. Bash |
| 2025 | Hierarchical Multi-Source Uncertainty Aggregation for Interactive Video Captioning. Ervine Zheng, Qi Yu |
| 2025 | Hierarchical Vector Quantization for Unsupervised Action Segmentation. Federico Spurio, Emad Bahrami, Gianpiero Francesca, Juergen Gall |
| 2025 | Hierarchically Controlled Deformable 3D Gaussians for Talking Head Synthesis. Zhenhua Wu, Linxuan Jiang, Xiang Li, Chaowei Fang, Yipeng Qin, Guanbin Li |
| 2025 | Hierarchically-Structured Open-Vocabulary Indoor Scene Synthesis with Pre-trained Large Language Model. Weilin Sun, Xinran Li, Manyi Li, Kai Xu, Xiangxu Meng, Lei Meng |
| 2025 | High School Course Scheduling: Student Preferences and Fairness Constraints (Student Abstract). Mitsuka Kiyohara |
| 2025 | High-Fidelity Polarimetric Implicit 3D Reconstruction with View-Dependent Physical Representation. Yu Qiu, Sijia Wen, Hainan Zhang, Zhiming Zheng |
| 2025 | High-Resolution Frame Interpolation with Patch-based Cascaded Diffusion. Junhwa Hur, Charles Herrmann, Saurabh Saxena, Janne Kontkanen, Wei-Sheng Lai, Yichang Shih, Michael Rubinstein, David J. Fleet, Deqing Sun |
| 2025 | Higher Order Structures for Graph Explanations. Akshit Sinha, Sreeram Vennam, Charu Sharma, Ponnurangam Kumaraguru |
| 2025 | Highly Efficient Rotation-Invariant Spectral Embedding for Scalable Incomplete Multi-View Clustering. Xinxin Wang, Yongshan Zhang, Yicong Zhou |
| 2025 | Highly Imperceptible Black-Box Graph Injection Attacks with Reinforcement Learning. Maochang Zhao, Jing Zhang |
| 2025 | Highly Parallelized Reinforcement Learning Training with Relaxed Assignment Dependencies. Zhouyu He, Peng Qiao, Rongchun Li, Yong Dou, Yusong Tan |
| 2025 | Holistic Correction with Object Prototype for Video Object Segmentation. Shengye Qiao, Changqun Xia, Yanjie Liang, Gongjin Lan, Jia Li |
| 2025 | Holistic Semantic Representation for Navigational Trajectory Generation. Ji Cao, Tongya Zheng, Qinghong Guo, Yu Wang, Junshu Dai, Shunyu Liu, Jie Yang, Jie Song, Mingli Song |
| 2025 | HomeDiffusion: Zero-Shot Object Customization with Multi-View Representation Learning for Indoor Scenes. Guoqiu Li, Jin Song, Yiyun Fei |
| 2025 | HomoMatcher: Achieving Dense Feature Matching with Semi-Dense Efficiency by Homography Estimation. Xiaolong Wang, Lei Yu, Yingying Zhang, Jiangwei Lao, Lixiang Ru, Liheng Zhong, Jingdong Chen, Yu Zhang, Ming Yang |
| 2025 | HoneypotNet: Backdoor Attacks Against Model Extraction. Yixu Wang, Tianle Gu, Yan Teng, Yingchun Wang, Xingjun Ma |
| 2025 | Hotspotter: A Generalizable Pipeline for Automated Detection of Subtle Volcanic Thermal Features in Satellite Images. Aditya Mohan, Andie Gomez-Patron, Matthew Pritchard, Hannah Kerner |
| 2025 | How Do Position Encodings Affect Length Generalization? Case Studies On In-Context Function Learning. Di-Nan Lin, Jui-Feng Yao, Kun-Da Wu, Hao Xu, Chen-Hsi Huang, Hung-Yu Kao |
| 2025 | How Does the Smoothness Approximation Method Facilitate Generalization for Federated Adversarial Learning? Wenjun Ding, Ying An, Lixing Chen, Shichao Kan, Fan Wu, Zhe Qu |
| 2025 | How Many Lines to Paint the City: Exact Edge-Cover in Temporal Graphs. Argyrios Deligkas, Michelle Döring, Eduard Eiben, Tiger-Lily Goldsmith, George Skretas, Georg Tennigkeit |
| 2025 | How Not to Stitch Representations to Measure Similarity: Task Loss Matching Versus Direct Matching. András Balogh, Márk Jelasity |
| 2025 | How Your Location Relates to Health: Variable Importance and Interpretable Machine Learning for Environmental and Sociodemographic Data. Ishaan Maitra, Raymond Lin, Eric Chen, Jon Donnelly, Sanja Scepanovic, Cynthia Rudin |
| 2025 | How to Re-enable PDE Loss for Physical Systems Modeling Under Partial Observation. Haodong Feng, Yue Wang, Dixia Fan |
| 2025 | Hubness Change Point Detection. Ikumi Suzuki, Kazuo Hara, Eiji Murakami |
| 2025 | Human Interpretable Virtual Metrology in the Semiconductor Manufacturing. Amina Mevic |
| 2025 | Human and AI Perceptual Differences in Image Classification Errors. Minghao Liu, Jiaheng Wei, Yang Liu, James Davis |
| 2025 | Human-Computer Interaction for AI Systems Design: Reflections on an Online Course on Human-AI Interaction for Professionals. Per Ola Kristensson, Emily Patterson |
| 2025 | Human-in-the-loop or AI-in-the-loop? Automate or Collaborate? Sriraam Natarajan, Saurabh Mathur, Sahil Sidheekh, Wolfgang Stammer, Kristian Kersting |
| 2025 | Hybrid Data-Free Knowledge Distillation. Jialiang Tang, Shuo Chen, Chen Gong |
| 2025 | Hybrid Decentralized Optimization: Leveraging Both First- and Zeroth-Order Optimizers for Faster Convergence. Shayan Talaei, Matin Ansaripour, Giorgi Nadiradze, Dan Alistarh |
| 2025 | Hybrid Phenology Modeling for Predicting Temperature Effects on Tree Dormancy. Ron van Bree, Diego Marcos, Ioannis N. Athanasiadis |
| 2025 | Hybrid Quantum-Classical Style Transfer (Student Abstract). Emily Jimin Roh, Joo Yong Shim, Soohyun Park, Joongheon Kim |
| 2025 | Hybrid Reasoning About Relative Position and Orientation of Objects and Navigating Agents Using Answer Set Programming. Yusuf Izmirlioglu |
| 2025 | Hybrid-Driving: An Autonomous Driving Decision Framework Integrating Large Language Models, Knowledge Graphs and Driving Rules. Jiabao Wang, Zepeng Wu, Qian Dong, Lingzhong Meng, Yunzhi Xue, Yukuan Yang |
| 2025 | HybridReg: Robust 3D Point Cloud Registration with Hybrid Motions. Keyu Du, Hao Xu, Haipeng Li, Hong Qu, Chi-Wing Fu, Shuaicheng Liu |
| 2025 | Hyper-Spectral Image Generation from Frequency Spectrums. Ruth-Emely Pierau |
| 2025 | HyperDefender: A Robust Framework for Hyperbolic GNNs. Nikita Malik, Rahul Gupta, Sandeep Kumar |
| 2025 | HyperMixer: Specializable Hypergraph Channel Mixing for Long-term Multivariate Time Series Forecasting. Changyuan Tian, Zhicong Lu, Zequn Zhang, Heming Yang, Wei Cao, Zhi Guo, Xian Sun, Li Jin |
| 2025 | Hyperbolic-Constraint Point Cloud Reconstruction from Single RGB-D Images. Wenrui Li, Zhe Yang, Wei Han, Hengyu Man, Xingtao Wang, Xiaopeng Fan |
| 2025 | Hypergraph Attacks via Injecting Homogeneous Nodes into Elite Hyperedges. Meixia He, Peican Zhu, Keke Tang, Yangming Guo |
| 2025 | Hypergraph Learning for Unsupervised Graph Alignment via Optimal Transport. Yuguang Yan, Canlin Yang, Yuanlin Chen, Ruichu Cai, Michael Ng |
| 2025 | Hypernetwork Approach to Bayesian MAML (Student Abstract). Piotr Borycki, Piotr Kubacki, Marcin Przewiezlikowski, Tomasz Kusmierczyk, Jacek Tabor, Przemyslaw Spurek |
| 2025 | Hyperparametric Robust and Dynamic Influence Maximization. Arkaprava Saha, Bogdan Cautis, Xiaokui Xiao, Laks V. S. Lakshmanan |
| 2025 | IAA: Inner-Adaptor Architecture Empowers Frozen Large Language Model with Multimodal Capabilities. Bin Wang, Chunyu Xie, Dawei Leng, Yuhui Yin |
| 2025 | IBAS: Imperceptible Backdoor Attacks in Split Learning with Limited Information. Peng Xi, Shaoliang Peng, Wenjuan Tang |
| 2025 | ICE-T: Interactions-aware Cross-column Contrastive Embedding for Heterogeneous Tabular Datasets. Tomás Tokár, Scott Sanner |
| 2025 | ICM-Assistant: Instruction-tuning Multimodal Large Language Models for Rule-based Explainable Image Content Moderation. Mengyang Wu, Yuzhi Zhao, Jialun Cao, Mingjie Xu, Zhongming Jiang, Xuehui Wang, Qinbin Li, Guangneng Hu, Shengchao Qin, Chi-Wing Fu |
| 2025 | ID-GMLM: Intelligent Decision-Making with Integrated Graph Models and Large Language Models. Zhenhua Meng, Fanshen Meng, Rongheng Lin, Budan Wu |
| 2025 | ID-Sculpt: ID-aware 3D Head Generation from Single In-the-wild Portrait Image. Jinkun Hao, Junshu Tang, Jiangning Zhang, Ran Yi, Yijia Hong, Moran Li, Weijian Cao, Yating Wang, Chengjie Wang, Lizhuang Ma |
| 2025 | IDseq: Decoupled and Sequentially Detecting and Grounding Multi-Modal Media Manipulation. Runxin Liu, Tian Xie, Jiaming Li, Lingyun Yu, Hongtao Xie |
| 2025 | IMAGDressing-v1: Customizable Virtual Dressing. Fei Shen, Xin Jiang, Xin He, Hu Ye, Cong Wang, Xiaoyu Du, Zechao Li, Jinhui Tang |
| 2025 | IMQC: A Large Language Model Platform for Medical Quality Control. Qi Ye, Guangya Yu, Jingping Liu, Erzhen Chen, Chenjie Dong, Xiaosheng Lin, Zelei Liu, Han Yu, Tong Ruan |
| 2025 | IOHunter: Graph Foundation Model to Uncover Online Information Operations. Marco Minici, Luca Luceri, Francesco Fabbri, Emilio Ferrara |
| 2025 | IOP: An Idempotent-Like Optimization Method on the Pareto Front of Hypernetwork. Hui Wang, Renyu Yang, Jie Sun, Hao Peng, Xudong Mou, Tianyu Wo, Xudong Liu |
| 2025 | IPDN: Image-enhanced Prompt Decoding Network for 3D Referring Expression Segmentation. Qi Chen, Changli Wu, Jiayi Ji, Yiwei Ma, Danni Yang, Xiaoshuai Sun |
| 2025 | IPVTON: Image-based 3D Virtual Try-on with Image Prompt Adapter. Xiaojing Zhong, Zhonghua Wu, Xiaofeng Yang, Guosheng Lin, Qingyao Wu |
| 2025 | IRMamba: Pixel Difference Mamba with Layer Restoration for Infrared Small Target Detection. Mingjin Zhang, Xiaolong Li, Fei Gao, Jie Guo |
| 2025 | ISPDiffuser: Learning RAW-to-sRGB Mappings with Texture-Aware Diffusion Models and Histogram-Guided Color Consistency. Yang Ren, Hai Jiang, Menglong Yang, Wei Li, Shuaicheng Liu |
| 2025 | ISR-DPO: Aligning Large Multimodal Models for Videos by Iterative Self-Retrospective DPO. Daechul Ahn, Yura Choi, San Kim, Youngjae Yu, Dongyeop Kang, Jonghyun Choi |
| 2025 | ITP: Instance-Aware Test Pruning for Out-of-Distribution Detection. Haonan Xu, Yang Yang |
| 2025 | IWRN: A Robust Blind Watermarking Method for Artwork Image Copyright Protection Against Noise Attack. Feifei Kou, Yuhan Yao, Siyuan Yao, Jiahao Wang, Lei Shi, Yawen Li, Xuejing Kang |
| 2025 | Identifying Macro Conditional Independencies and Macro Total Effects in Summary Causal Graphs with Latent Confounding. Simon Ferreira, Charles K. Assaad |
| 2025 | Identifying Predictions That Influence the Future: Detecting Performative Concept Drift in Data Streams. Brandon Gower-Winter, Georg Krempl, Sergey Dragomiretskiy, Tineke Jelsma, Arno Siebes |
| 2025 | Identifying Query-Relevant Neurons in Large Language Models for Long-Form Texts. Lihu Chen, Adam Dejl, Francesca Toni |
| 2025 | Identity-Text Video Corpus Grounding. Bin Huang, Xin Wang, Hong Chen, Houlun Chen, Yaofei Wu, Wenwu Zhu |
| 2025 | Image Conductor: Precision Control for Interactive Video Synthesis. Yaowei Li, Xintao Wang, Zhaoyang Zhang, Zhouxia Wang, Ziyang Yuan, Liangbin Xie, Ying Shan, Yuexian Zou |
| 2025 | Image Regeneration: Evaluating Text-to-Image Model via Generating Identical Image with Multimodal Large Language Models. Chutian Meng, Fan Ma, Jiaxu Miao, Chi Zhang, Yi Yang, Yueting Zhuang |
| 2025 | Image-to-video Adaptation with Outlier Modeling and Robust Self-learning. Junbao Zhuo, Shuhui Wang, Zhenghan Chen, Li Shen, Qingming Huang, Huimin Ma |
| 2025 | ImagePiece: Content-aware Re-tokenization for Efficient Image Recognition. Seungdong Yoa, Seungjun Lee, Hye-Seung Cho, Bumsoo Kim, Woohyung Lim |
| 2025 | Imagine: Image-Guided 3D Part Assembly with Structure Knowledge Graph. Weihao Wang, Yu Lan, Mingyu You, Bin He |
| 2025 | Imitate Before Detect: Aligning Machine Stylistic Preference for Machine-Revised Text Detection. Jiaqi Chen, Xiaoye Zhu, Tianyang Liu, Ying Chen, Xinhui Chen, Yiwen Yuan, Chak Tou Leong, Zuchao Li, Tang Long, Lei Zhang, Chenyu Yan, Guanghao Mei, Jie Zhang, Lefei Zhang |
| 2025 | Imitation Learning Backoff: Reinforcement Learning-based Channel Access for Guaranteeing Fairness (Student Abstract). Taegyeom Lee, Ohyun Jo |
| 2025 | Imperceptible 3D Point Cloud Attacks on Lattice-based Barycentric Coordinates. Keke Tang, Ziyong Du, Weilong Peng, Xiaofei Wang, Daizong Liu, Ligang Liu, Zhihong Tian |
| 2025 | Implicit Location-Caption Alignment via Complementary Masking for Weakly-Supervised Dense Video Captioning. Shiping Ge, Qiang Chen, Zhiwei Jiang, Yafeng Yin, Liu Qin, Ziyao Chen, Qing Gu |
| 2025 | Implicit Relative Labeling-Importance Aware Multi-Label Metric Learning. Junxiang Mao, Yong Rui, Min-Ling Zhang |
| 2025 | Implicit Word Reordering with Knowledge Distillation for Cross-Lingual Dependency Parsing. Zhuoran Li, Chunming Hu, Junfan Chen, Zhijun Chen, Richong Zhang |
| 2025 | Importance Weighting Can Help Large Language Models Self-Improve. Chunyang Jiang, Chi-Min Chan, Wei Xue, Qifeng Liu, Yike Guo |
| 2025 | Improved Approximation Algorithms for Clustered TSP and Subgroup Planning. Jingyang Zhao, Mingyu Xiao, Junqiang Peng, Ziliang Xiong |
| 2025 | Improved Bounds for Online Facility Location with Predictions. Dimitris Fotakis, Evangelia Gergatsouli, Themistoklis Gouleakis, Nikolas Patris, Thanos Tolias |
| 2025 | Improved Fixed-Parameter Bounds for Min-Sum-Radii and Diameters k-Clustering and Their Fair Variants. Sandip Banerjee, Yair Bartal, Lee-Ad Gottlieb, Alon Hovav |
| 2025 | Improved Maximin Share Approximations for Chores by Bin Packing. Jugal Garg, Xin Huang, Erel Segal-Halevi |
| 2025 | Improved Rates of Differentially Private Nonconvex-Strongly-Concave Minimax Optimization. Ruijia Zhang, Mingxi Lei, Meng Ding, Zihang Xiang, Jinhui Xu, Di Wang |
| 2025 | Improved Regret Bounds for Online Fair Division with Bandit Learning. Benjamin Schiffer, Shirley Zhang |
| 2025 | Improving Cancer Gene Prediction by Enhancing Common Information Between the PPI Network and Gene Functional Association. Chao Deng, Hongdong Li, Jianxin Wang |
| 2025 | Improving Community-Participated Patrol for Anti-Poaching. Yufei Wu, Yixuan Even Xu, Xuming Zhang, Duo Liu, Shibing Zhu, Fei Fang |
| 2025 | Improving Complex Reasoning over Knowledge Graph with Logic-Aware Curriculum Tuning. Tianle Xia, Liang Ding, Guojia Wan, Yibing Zhan, Bo Du, Dacheng Tao |
| 2025 | Improving Cooperation in Language Games with Bayesian Inference and the Cognitive Hierarchy. Joseph Bills, Christopher Archibald, Diego Blaylock |
| 2025 | Improving Deep Learning Speed and Performance Through Synaptic Neural Balance. Antonios Alexos, Ian Domingo, Pierre Baldi |
| 2025 | Improving Factuality in Large Language Models via Decoding-Time Hallucinatory and Truthful Comparators. Dingkang Yang, Dongling Xiao, Jinjie Wei, Mingcheng Li, Zhaoyu Chen, Ke Li, Lihua Zhang |
| 2025 | Improving Federated Domain Generalization Through Dynamical Weights Calculated from Data Influences on Global Model Update. Zikun Zhou, Wen Huang, Xingyi Wang, Zhishuo Zhang, Zhun Zhang, Jian Peng, Feihu Huang |
| 2025 | Improving Generalization for AI-Synthesized Voice Detection. Hainan Ren, Li Lin, Chun-Hao Liu, Xin Wang, Shu Hu |
| 2025 | Improving Generalization in Offline Reinforcement Learning via Latent Distribution Representation Learning. Da Wang, Lin Li, Wei Wei, Qixian Yu, Jianye Hao, Jiye Liang |
| 2025 | Improving Generalization of Deep Neural Networks by Optimum Shifting. Yuyan Zhou, Ye Li, Lei Feng, Sheng-Jun Huang |
| 2025 | Improving Generalization of Universal Adversarial Perturbation via Dynamic Maximin Optimization. Yechao Zhang, Yingzhe Xu, Junyu Shi, Leo Yu Zhang, Shengshan Hu, Minghui Li, Yanjun Zhang |
| 2025 | Improving Integrated Gradient-based Transferable Adversarial Examples by Refining the Integration Path. Yuchen Ren, Zhengyu Zhao, Chenhao Lin, Bo Yang, Lu Zhou, Zhe Liu, Chao Shen |
| 2025 | Improving Model Probability Calibration by Integration of Large Data Sources with Biased Labels. Renat Sergazinov, Richard Chen, Cheng Ji, Jing Wu, Daniel Cociorva, Hakan Brunzell |
| 2025 | Improving Multimodal Social Media Popularity Prediction via Selective Retrieval Knowledge Augmentation. Xovee Xu, Yifan Zhang, Fan Zhou, Jingkuan Song |
| 2025 | Improving Natural Language Understanding for LLMs via Large-Scale Instruction Synthesis. Lin Yuan, Jun Xu, Honghao Gui, Mengshu Sun, Zhiqiang Zhang, Lei Liang, Jun Zhou |
| 2025 | Improving Pareto Set Learning for Expensive Multi-objective Optimization via Stein Variational Hypernetworks. Minh-Duc Nguyen, Phuong Mai Dinh, Quang-Huy Nguyen, Long P. Hoang, Dung D. Le |
| 2025 | Improving Private Random Forest Prediction Using Matrix Representation. Arisa Tajima, Joie Wu, Amir Houmansadr |
| 2025 | Improving Retrieval Augmented Language Model with Self-Reasoning. Yuan Xia, Jingbo Zhou, Zhenhui Shi, Jun Chen, Haifeng Huang |
| 2025 | Improving Transformer Based Line Segment Detection with Matched Predicting and Re-ranking. Xin Tong, Shi Peng, Baojie Tian, Yufei Guo, Xuhui Huang, Zhe Ma |
| 2025 | Improving the Lower Bound in Branch-and-Bound Algorithms for MaxSAT. Shuolin Li, Chu-Min Li, Jordi Coll, Djamal Habet, Felip Manyà |
| 2025 | In Search of Trees: Decision-Tree Policy Synthesis for Black-Box Systems via Search. Emir Demirovic, Christian Schilling, Anna Lukina |
| 2025 | In-Context Policy Adaptation via Cross-Domain Skill Diffusion. Minjong Yoo, Woo Kyung Kim, Honguk Woo |
| 2025 | In-Dataset Trajectory Return Regularization for Offline Preference-based Reinforcement Learning. Songjun Tu, Jingbo Sun, Qichao Zhang, Yaocheng Zhang, Jia Liu, Ke Chen, Dongbin Zhao |
| 2025 | In-context Prompt-augmented Micro-video Popularity Prediction. Zhangtao Cheng, Jiao Li, Jian Lang, Ting Zhong, Fan Zhou |
| 2025 | In-depth Analysis of Low-rank Matrix Factorisation in a Federated Setting. Constantin Philippenko, Kevin Scaman, Laurent Massoulié |
| 2025 | In2NeCT: Inter-class and Intra-class Neural Collapse Tuning for Semantic Segmentation of Imbalanced Remote Sensing Images. Junao Shen, Qiyun Hu, Tian Feng, Xinyu Wang, Hui Cui, Sensen Wu, Wei Zhang |
| 2025 | Inapproximability of Optimal Multi-Agent Pathfinding Problems. Xing Tan, Alban Grastien |
| 2025 | Incentives for Early Arrival. Dengji Zhao |
| 2025 | Incident Diagnosing and Reporting System Based on Retrieval Augmented Large Language Model. Peng Yuan, Lu An Tang, Yanchi Liu, Yuji Kobayashi, Moto Sato, Haifeng Chen |
| 2025 | Incomplete Modality Disentangled Representation for Ophthalmic Disease Grading and Diagnosis. Chengzhi Liu, Zile Huang, Zhe Chen, Feilong Tang, Yu Tian, Zhongxing Xu, Zihong Luo, Yalin Zheng, Yanda Meng |
| 2025 | Incomplete Multi-View Multi-Label Classification via Diffusion-Guided Redundancy Removal. Shilong Ou, Zhe Xue, Lixiong Qin, Yawen Li, MeiYu Liang, Junjiang Wu, Xuyun Zhang, Amin Beheshti, Yuankai Qi |
| 2025 | Incomplete Multi-view Clustering via Diffusion Contrastive Generation. Yuanyang Zhang, Yijie Lin, Weiqing Yan, Li Yao, Xinhang Wan, Guangyuan Li, Chao Zhang, Guanzhou Ke, Jie Xu |
| 2025 | Incomplete and Unpaired Multi-View Graph Clustering with Cross-View Feature Fusion. Liang Zhao, Ziyue Wang, Xiao Wang, Zhikui Chen, Bo Xu |
| 2025 | Incongruent Multimodal Federated Learning for Medical Vision and Language-based Multi-label Disease Detection. Pramit Saha, Divyanshu Mishra, Felix Wagner, Konstantinos Kamnitsas, J. Alison Noble |
| 2025 | Increased Compute Efficiency and the Diffusion of AI Capabilities. Konstantin F. Pilz, Lennart Heim, Nicholas Brown |
| 2025 | Increasing Revenue in Efficient Combinatorial Auctions by Learning to Generate Artificial Competition. Maria-Florina Balcan, Siddharth Prasad, Tuomas Sandholm |
| 2025 | Incremental Nyström-based Multiple Kernel Clustering. Yu Feng, Weixuan Liang, Xinhang Wan, Jiyuan Liu, Suyuan Liu, Qian Qu, Renxiang Guan, Huiying Xu, Xinwang Liu |
| 2025 | Individually Stable Dynamics in Coalition Formation over Graphs. Angelo Fanelli, Laurent Gourvès, Ayumi Igarashi, Luca Moscardelli |
| 2025 | Inductive Learning of Logical Theories with LLMs: A Expressivity-graded Analysis. João Pedro Gandarela de Souza, Danilo S. Carvalho, André Freitas |
| 2025 | Infer Human's Intentions Before Following Natural Language Instructions. Yanming Wan, Yue Wu, Yiping Wang, Jiayuan Mao, Natasha Jaques |
| 2025 | Infer the Whole from a Glimpse of a Part: Keypoint-Based Knowledge Graph for Vehicle Re-Identification. Kai Lv, Yunlong Li, Zhuo Chen, Shuo Wang, Sheng Han, Youfang Lin |
| 2025 | Infinite-Canvas: Higher-Resolution Video Outpainting with Extensive Content Generation. Qihua Chen, Yue Ma, Hongfa Wang, Junkun Yuan, Wenzhe Zhao, Qi Tian, Hongmei Wang, Shaobo Min, Qifeng Chen, Wei Liu |
| 2025 | Influence-Based Fair Selection for Sample-Discriminative Backdoor Attack. Qi Wei, Shuo He, Jiahan Zhang, Lei Feng, Bo An |
| 2025 | Information-Theoretic Generative Clustering of Documents. Xin Du, Kumiko Tanaka-Ishii |
| 2025 | Inheriting Generalized Learngene for Efficient Knowledge Transfer across Multiple Tasks. Yuankun Zu, Shiyu Xia, Xu Yang, Qiufeng Wang, Han Zhang, Xin Geng |
| 2025 | IniRetinex: Rethinking Retinex-type Low-Light Image Enhancer via Initialization Perspective. Guodong Fan, Zishu Yao, Guang-Yong Chen, Jian-Nan Su, Min Gan |
| 2025 | InpDiffusion: Image Inpainting Localization via Conditional Diffusion Models. Kai Wang, Shaozhang Niu, Qixian Hao, Jiwei Zhang |
| 2025 | InstantPainting: Expanding GANs for Efficient Text-Conditioned Image Generation Platform. Bing-Kun Bao, Yefei Sheng, Jie Wang, Yaning Li, Sisi You |
| 2025 | InstantSticker: Realistic Decal Blending via Disentangled Object Reconstruction. Yi Zhang, Xiaoyang Huang, Yishun Dou, Yue Shi, Rui Shi, Ye Chen, Bingbing Ni, Wenjun Zhang |
| 2025 | Instruct Where the Model Fails: Generative Data Augmentation via Guided Self-contrastive Fine-tuning. Weijian Ma, Ruoxin Chen, Ke-Yue Zhang, Shuang Wu, Shouhong Ding |
| 2025 | InstructAvatar: Text-Guided Emotion and Motion Control for Avatar Generation. Yuchi Wang, Junliang Guo, Jianhong Bai, Runyi Yu, Tianyu He, Xu Tan, Xu Sun, Jiang Bian |
| 2025 | InstructOCR: Instruction Boosting Scene Text Spotting. Chen Duan, Qianyi Jiang, Pei Fu, Jiamin Chen, Shengxi Li, Zining Wang, Shan Guo, Junfeng Luo |
| 2025 | Instruction-Augmented Long-Horizon Planning: Embedding Grounding Mechanisms in Embodied Mobile Manipulation. Fangyuan Wang, Shipeng Lyu, Peng Zhou, Anqing Duan, Guodong Guo, David Navarro-Alarcon |
| 2025 | Instruction-guided Multi-Granularity Segmentation and Captioning with Large Multimodal Model. Xu Yuan, Li Zhou, Zenghui Sun, Zikun Zhou, Jinsong Lan |
| 2025 | Int*-Match: Balancing Intra-Class Compactness and Inter-Class Discrepancy for Semi-Supervised Speaker Recognition. Xingmei Wang, Jinghan Liu, Jiaxiang Meng, Boquan Li, Zijian Liu |
| 2025 | Int2Planner: An Intention-based Multi-modal Motion Planner for Integrated Prediction and Planning. Xiaolei Chen, Junchi Yan, Wenlong Liao, Tao He, Pai Peng |
| 2025 | InteDisUX: Intepretation-Guided Discriminative User-Centric Explanation for Time Series. Viet-Hung Tran, Zichi Zhang, Tuan Dung Pham, Ngoc Phu Doan, Anh-Tuan Hoang, Peixin Li, Hans Vandierendonck, Ira Assent, Son T. Mai |
| 2025 | Integrating Co-Training with Edge Discrimination to Enhance Graph Neural Networks Under Heterophily. Siqi Liu, Dongxiao He, Zhizhi Yu, Di Jin, Zhiyong Feng, Weixiong Zhang |
| 2025 | Integrating Inference and Experimental Design for Contextual Behavioral Model Learning. Gongtao Zhou, Haoran Yu |
| 2025 | Integrating Large Language Models and Möbius Group Transformations for Temporal Knowledge Graph Embedding on the Riemann Sphere. Sensen Zhang, Xun Liang, Simin Niu, Zhendong Niu, Bo Wu, Gengxin Hua, Long Wang, Zhenyu Guan, Hanyu Wang, Xuan Zhang, Zhiyu Li, Yuefeng Ma |
| 2025 | Integrating Low-Level Visual Cues for Enhanced Unsupervised Semantic Segmentation. Yuhao Qing, Dan Zeng, Shaorong Xie, Kaer Huang, Yueying Wang |
| 2025 | Integrating Multi-Source Data for Long Sequence Precipitation Forecasting. Demin Yu, Wenzhi Feng, Kenghong Lin, Xutao Li, Yunming Ye, Chuyao Luo, Wenchuan Du |
| 2025 | Integrating Personalized Spatio-Temporal Clustering for Next POI Recommendation. Chao Song, Zheng Ren, Li Lu |
| 2025 | Integrating Sequence and Image Modeling in Irregular Medical Time Series Through Self-Supervised Learning. Liuqing Chen, Shuhong Xiao, Shixian Ding, Shanhai Hu, Lingyun Sun |
| 2025 | Integrating Symbolic Reasoning into Neural Generative Models for Design Generation. Maxwell J. Jacobson, Yexiang Xue |
| 2025 | Intelligent Clinical Assistant for Personalized Responses and Clinical Summaries. Subash Neupane |
| 2025 | Intelligent OPC Engineer Assistant for Semiconductor Manufacturing. Guojin Chen, Haoyu Yang, Bei Yu, Haoxing Ren |
| 2025 | Intent Oriented Contrastive Learning for Sequential Recommendation. Wuhong Wang, Jianhui Ma, Yuren Zhang, Kai Zhang, Junzhe Jiang, Yihui Yang, Yacong Zhou, Zheng Zhang |
| 2025 | Interacted Object Grounding in Spatio-Temporal Human-Object Interactions. Xiaoyang Liu, Boran Wen, Xinpeng Liu, Zizheng Zhou, Hongwei Fan, Cewu Lu, Lizhuang Ma, Yulong Chen, Yong-Lu Li |
| 2025 | Internal Activation Revision: Safeguarding Vision Language Models Without Parameter Update. Qing Li, Jiahui Geng, Derui Zhu, Zongxiong Chen, Kun Song, Lei Ma, Fakhri Karray |
| 2025 | Interpretable Face Anti-Spoofing: Enhancing Generalization with Multimodal Large Language Models. Guosheng Zhang, Keyao Wang, Haixiao Yue, Ajian Liu, Gang Zhang, Kun Yao, Errui Ding, Jingdong Wang |
| 2025 | Interpretable Failure Detection with Human-Level Concepts. Kien X. Nguyen, Tang Li, Xi Peng |
| 2025 | Interpretable Solutions for Multi-Physics PDEs Using T-NNGP. Lulu Cao, Zexin Lin, Kay Chen Tan, Min Jiang |
| 2025 | Interweaving Memories of a Siamese Large Language Model. Xin Song, Zhikai Xue, Guoxiu He, Jiawei Liu, Wei Lu |
| 2025 | Intra and Inter Parser-Prompted Transformers for Effective Image Restoration. Cong Wang, Jinshan Pan, Liyan Wang, Wei Wang |
| 2025 | Intrinsic Image Decomposition for Robust Self-supervised Monocular Depth Estimation on Reflective Surfaces. Wonhyeok Choi, Kyumin Hwang, Minwoo Choi, Kiljoon Han, Wonjoon Choi, Mingyu Shin, Sunghoon Im |
| 2025 | InvSeg: Test-Time Prompt Inversion for Semantic Segmentation. Jiayi Lin, Jiabo Huang, Jian Hu, Shaogang Gong |
| 2025 | Inverse Reinforcement Learning by Estimating Expertise of Demonstrators. Mark Beliaev, Ramtin Pedarsani |
| 2025 | InverseCoder: Self-improving Instruction-Tuned Code LLMs with Inverse-Instruct. Yutong Wu, Di Huang, Wenxuan Shi, Wei Wang, Yewen Pu, Lingzhe Gao, Shihao Liu, Ziyuan Nan, Kaizhao Yuan, Rui Zhang, Xishan Zhang, Zidong Du, Qi Guo, Dawei Yin, Xing Hu, Yunji Chen |
| 2025 | Invertible Projection and Conditional Alignment for Multi-Source Blended-Target Domain Adaptation. Yuwu Lu, Haoyu Huang, Waikeung Wong, Xue Hu |
| 2025 | Investigating Relational State Abstraction in Collaborative MARL. Sharlin Utke, Jeremie Houssineau, Giovanni Montana |
| 2025 | Investigating and Mitigating Undesirable Biases in Large Language Models. Mahammed Kamruzzaman |
| 2025 | Investigating the Security Threat Arising from "Yes-No" Implicit Bias in Large Language Models. Yanrui Du, Sendong Zhao, Ming Ma, Yuhan Chen, Bing Qin |
| 2025 | Is LLMs Hallucination Usable? LLM-based Negative Reasoning for Fake News Detection. Chaowei Zhang, Zongling Feng, Zewei Zhang, Jipeng Qiang, Guandong Xu, Yun Li |
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| 2025 | Is Sarcasm Detection a Step-by-Step Reasoning Process in Large Language Models? Ben Yao, Yazhou Zhang, Qiuchi Li, Jing Qin |
| 2025 | Is There No Such Thing as a Bad Question? H4R: HalluciBot for Ratiocination, Rewriting, Ranking, and Routing. William Watson, Nicole Cho, Nishan Srishankar |
| 2025 | Is Your Autonomous Vehicle Safe? Understanding the Threat of Electromagnetic Signal Injection Attacks on Traffic Scene Perception. Wenhao Liao, Sineng Yan, Youqian Zhang, Xinwei Zhai, Yuanyuan Wang, Eugene Yujun Fu |
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| 2025 | IsUMap: Manifold Learning and Data Visualization Leveraging Vietoris-Rips Filtrations. Parvaneh Joharinad, Hannaneh Fahimi, Lukas Silvester Barth, Janis Keck, Jürgen Jost |
| 2025 | IteRPrimE: Zero-shot Referring Image Segmentation with Iterative Grad-CAM Refinement and Primary Word Emphasis. Yuji Wang, Jingchen Ni, Yong Liu, Chun Yuan, Yansong Tang |
| 2025 | Iterative Counterfactual Data Augmentation. Mitchell Plyler, Min Chi |
| 2025 | Iterative Self-Training with Class-Aware Text-to-Image Synthesis for Visual Task Learning. Xiang Zhang, Wanqing Zhao, Pengyang Li, Ying Liu, Hangzai Luo, Sheng Zhong, Jinye Peng, Jianping Fan |
| 2025 | Iterative Sparse Attention for Long-sequence Recommendation. Guanyu Lin, Jinwei Luo, Yinfeng Li, Chen Gao, Qun Luo, Depeng Jin |
| 2025 | J&H: Evaluating the Robustness of Large Language Models Under Knowledge-Injection Attacks in Legal Domain. Yiran Hu, Huanghai Liu, Qingjing Chen, Ning Zheng, Chong Wang, Yun Liu, Charles L. A. Clarke, Weixing Shen |
| 2025 | JAQ: Joint Efficient Architecture Design and Low-Bit Quantization with Hardware-Software Co-Exploration. Mingzi Wang, Yuan Meng, Chen Tang, Weixiang Zhang, Yijian Qin, Yang Yao, Yingxin Li, Tongtong Feng, Xin Wang, Xun Guan, Zhi Wang, Wenwu Zhu |
| 2025 | JEN-1 Composer: A Unified Framework for High-Fidelity Multi-Track Music Generation. Yao Yao, Peike Li, Boyu Chen, Alex Wang |
| 2025 | JEN-1 DreamStyler: Customized Musical Concept Learning via Pivotal Parameters Tuning. Boyu Chen, Peike Li, Yao Yao, Alex Wang |
| 2025 | JailPO: A Novel Black-Box Jailbreak Framework via Preference Optimization Against Aligned LLMs. Hongyi Li, Jiawei Ye, Jie Wu, Tianjie Yan, Chu Wang, Zhixin Li |
| 2025 | JoVALE: Detecting Human Actions in Video Using Audiovisual and Language Contexts. Taein Son, Soo Won Seo, Jisong Kim, Seok Hwan Lee, Jun Won Choi |
| 2025 | Joint Class-level and Instance-level Relationship Modeling for Novel Class Discovery. Jiaying Zhou, Qingchao Chen |
| 2025 | Joint Knowledge Editing for Information Enrichment and Probability Promotion. Wenhang Shi, Yiren Chen, Shuqing Bian, Xinyi Zhang, Zhe Zhao, Pengfei Hu, Wei Lu, Xiaoyong Du |
| 2025 | Joint Scoring Rules: Competition Between Agents Avoids Performative Prediction. Rubi Hudson |
| 2025 | Just What You Desire: Constrained Timeline Summarization with Self-Reflection for Enhanced Relevance. Muhammad Reza Qorib, Qisheng Hu, Hwee Tou Ng |
| 2025 | Just a Few Glances: Open-Set Visual Perception with Image Prompt Paradigm. Jinrong Zhang, Penghui Wang, Chunxiao Liu, Wei Liu, Dian Jin, Qiong Zhang, Erli Meng, Zhengnan Hu |
| 2025 | K-ON: Stacking Knowledge on the Head Layer of Large Language Model. Lingbing Guo, Yichi Zhang, Zhongpu Bo, Zhuo Chen, Mengshu Sun, Zhiqiang Zhang, Wen Zhang, Huajun Chen |
| 2025 | K-hop Hypergraph Neural Network: A Comprehensive Aggregation Approach. Linhuang Xie, Shihao Gao, Jie Liu, Ming Yin, Taisong Jin |
| 2025 | KAES: Multi-aspect Shared Knowledge Finding and Aligning for Cross-prompt Automated Scoring of Essay Traits. Xia Li, Wenjing Pan |
| 2025 | KALAHash: Knowledge-Anchored Low-Resource Adaptation for Deep Hashing. Shu Zhao, Tan Yu, Xiaoshuai Hao, Wenchao Ma, Vijaykrishnan Narayanan |
| 2025 | KD-MSLRT: Lightweight Sign Language Recognition Model Based on Mediapipe and 3D to 1D Knowledge Distillation. Yulong Li, Bolin Ren, Ke Hu, Changyuan Liu, Zhengyong Jiang, Kang Dang, Jionglong Su |
| 2025 | KDAT: Inherent Adversarial Robustness via Knowledge Distillation with Adversarial Tuning for Object Detection Models. Yarin Yerushalmi Levi, Edita Grolman, Idan Yankelev, Amit Giloni, Omer Hofman, Toshiya Shimizu, Asaf Shabtai, Yuval Elovici |
| 2025 | KGCRR: An Effective Metric-Driven Knowledge Graph Completion Framework by Designing a Novel Upper Bound Function with Adaptive Approximation to Reciprocal Rank. Kuan Xu, Kuo Yang, Jian Liu, Xiangkui Lu, Jun Wu, Xuezhong Zhou |
| 2025 | KITS: Inductive Spatio-Temporal Kriging with Increment Training Strategy. Qianxiong Xu, Cheng Long, Ziyue Li, Sijie Ruan, Rui Zhao, Zhishuai Li |
| 2025 | KOALA: Kernel Coupling and Element Imputation Induced Multi-View Clustering. Tingting Wu, Zhendong Li, Zhibin Gu, Jiazheng Yuan, Songhe Feng |
| 2025 | KPL: Training-Free Medical Knowledge Mining of Vision-Language Models. Jiaxiang Liu, Tianxiang Hu, Jiawei Du, Ruiyuan Zhang, Joey Tianyi Zhou, Zuozhu Liu |
| 2025 | Kernel Learning for Sample Constrained Black-Box Optimization. Rajalaxmi Rajagopalan, Yu-Lin Wei, Romit Roy Choudhury |
| 2025 | Kernel Representation Learning for Time Sequence: Algorithm, Theory, and Applications. Kunpeng Xu |
| 2025 | Kernel-Aware Graph Prompt Learning for Few-Shot Anomaly Detection. Fenfang Tao, Guo-Sen Xie, Fang Zhao, Xiangbo Shu |
| 2025 | KernelMatmul: Scaling Gaussian Processes to Large Time Series. Tilman Hoffbauer, Holger H. Hoos, Jakob Bossek |
| 2025 | Key-Point-Driven Data Synthesis with Its Enhancement on Mathematical Reasoning. Yiming Huang, Xiao Liu, Yeyun Gong, Zhibin Gou, Yelong Shen, Nan Duan, Weizhu Chen |
| 2025 | KeyGS: A Keyframe-Centric Gaussian Splatting Method for Monocular Image Sequences. Keng Wei Chang, Zi-Ming Wang, Shang-Hong Lai |
| 2025 | KeyPose: Category-Level 6D Object Pose Estimation with Self-Adaptive Keypoints. Sheng Yu, Di-Hua Zhai, Yuanqing Xia |
| 2025 | Knockoffs Inference for Partially Linear Models with Automatic Structure Discovery. Hao Wang, Biqin Song, Hao Deng, Hong Chen |
| 2025 | Know Where You Are From: Event-Based Segmentation via Spatio-Temporal Propagation. Ke Li, Gengyu Lyu, Hao Chen, Bochen Xie, Zhen Yang, Youfu Li, Yongjian Deng |
| 2025 | Know2Vec: A Black-Box Proxy for Neural Network Retrieval. Zhuoyi Shang, Yanwei Liu, Jinxia Liu, Xiaoyan Gu, Ying Ding, Xiangyang Ji |
| 2025 | KnowPO: Knowledge-Aware Preference Optimization for Controllable Knowledge Selection in Retrieval-Augmented Language Models. Ruizhe Zhang, Yongxin Xu, Yuzhen Xiao, Runchuan Zhu, Xinke Jiang, Xu Chu, Junfeng Zhao, Yasha Wang |
| 2025 | Knowledge Editing with Dynamic Knowledge Graphs for Multi-Hop Question Answering. Yifan Lu, Yigeng Zhou, Jing Li, Yequan Wang, Xuebo Liu, Daojing He, Fangming Liu, Min Zhang |
| 2025 | Knowledge Graph Completion with Relation-Aware Anchor Enhancement. Duanyang Yuan, Sihang Zhou, Xiaoshu Chen, Dong Wang, Ke Liang, Xinwang Liu, Jian Huang |
| 2025 | Knowledge Graph and Large Language Model for Metabolomics. Yuxing Lu |
| 2025 | Knowledge Is Power: Harnessing Large Language Models for Enhanced Cognitive Diagnosis. Zhiang Dong, Jingyuan Chen, Fei Wu |
| 2025 | Knowledge Tagging with Large Language Model Based Multi-Agent System. Hang Li, Tianlong Xu, Ethan Chang, Qingsong Wen |
| 2025 | Knowledge in Superposition: Unveiling the Failures of Lifelong Knowledge Editing for Large Language Models. Chenhui Hu, Pengfei Cao, Yubo Chen, Kang Liu, Jun Zhao |
| 2025 | Knowledge-Enhanced Hierarchical Heterogeneous Graph for Personality Identification with Limited Training Data. Yuxuan Song, Qiudan Li, Yilin Wu, David Jingjun Xu, Daniel Dajun Zeng |
| 2025 | Knowledge-Guided Domain Adaptation Model for Transferring Drug Response Prediction from Cell Lines to Patients. Xuan Liu, Menglu Li |
| 2025 | Knowledge-Infused Learning for Developing a Mental Health Diagnostic Copilot in Healthcare Systems. Gerald Ketu Ndawula |
| 2025 | Knowledge-driven Scientific Large Language Models. Qiang Zhang |
| 2025 | Kolmogorov-Arnold Networks Still Catastrophically Forget but Differently from MLP. Anton Lee, Heitor Murilo Gomes, Yaqian Zhang, W. Bastiaan Kleijn |
| 2025 | L-Man: A Large Multi-modal Model Unifying Human-centric Tasks. Jialong Zuo, Ying Nie, Tianyu Guo, Huaxin Zhang, Jiahao Hong, Nong Sang, Changxin Gao, Kai Han |
| 2025 | L3TC: Leveraging RWKV for Learned Lossless Low-Complexity Text Compression. Junxuan Zhang, Zhengxue Cheng, Yan Zhao, Shihao Wang, Dajiang Zhou, Guo Lu, Li Song |
| 2025 | L4DR: LiDAR-4DRadar Fusion for Weather-Robust 3D Object Detection. Xun Huang, Ziyu Xu, Hai Wu, Jinlong Wang, Qiming Xia, Yan Xia, Jonathan Li, Kyle Gao, Chenglu Wen, Cheng Wang |
| 2025 | LAGD: Local Topological-Alignment and Global Semantic-Deconstruction for Incremental 3D Semantic Segmentation. Yumin Zhang, Haoran Duan, Rui Sun, Yue Cheng, Tejal Shah, Rajiv Ranjan, Bo Wei |
| 2025 | LAMA-UT: Language Agnostic Multilingual ASR Through Orthography Unification and Language-Specific Transliteration. Sangmin Lee, Woo-Jin Chung, Hong-Goo Kang |
| 2025 | LATTE: Improving Latex Recognition for Tables and Formulae with Iterative Refinement. Nan Jiang, Shanchao Liang, Chengxiao Wang, Jiannan Wang, Lin Tan |
| 2025 | LAqua: Laplacian Pyramids for Aquatic Segmentation (Student Abstract). Laven Srivastava, Ishaan Gakhar |
| 2025 | LCGC: Learning from Consistency Gradient Conflicting for Class-Imbalanced Semi-Supervised Debiasing. Weiwei Xing, Yue Cheng, Hongzhu Yi, Xiaohui Gao, Xiang Wei, Xiaoyu Guo, Yumin Zhang, Xinyu Pang |
| 2025 | LDP: Generalizing to Multilingual Visual Information Extraction by Language Decoupled Pretraining. Huawen Shen, Gengluo Li, Jinwen Zhong, Yu Zhou |
| 2025 | LEARN: Knowledge Adaptation from Large Language Model to Recommendation for Practical Industrial Application. Jian Jia, Yipei Wang, Yan Li, Honggang Chen, Xuehan Bai, Zhaocheng Liu, Jian Liang, Quan Chen, Han Li, Peng Jiang, Kun Gai |
| 2025 | LEGEND: Leveraging Representation Engineering to Annotate Safety Margin for Preference Datasets. Duanyu Feng, Bowen Qin, Chen Huang, Youcheng Huang, Zheng Zhang, Wenqiang Lei |
| 2025 | LIBA: Language Instructed Multi-granularity Bridge Assistant for 3D Visual Grounding. Yuan Wang, Yali Li, Eastman Z. Y. Wu, Shengjin Wang |
| 2025 | LLM Agents Can Be Choice-Supportive Biased Evaluators: An Empirical Study. Nan Zhuang, Boyu Cao, Yi Yang, Jing Xu, Mingda Xu, Yuxiao Wang, Qi Liu |
| 2025 | LLM Attributor: Interactive Visual Attribution for LLM Generation. Seongmin Lee, Zijie J. Wang, Aishwarya Chakravarthy, Alec Helbling, Shengyun Peng, Mansi Phute, Duen Horng (Polo) Chau, Minsuk Kahng |
| 2025 | LLM Stinger: Jailbreaking LLMs Using RL Fine-Tuned LLMs (Student Abstract). Piyush Jha, Arnav Arora, Vijay Ganesh |
| 2025 | LLM+AL: Bridging Large Language Models and Action Languages for Complex Reasoning About Actions. Adam Ishay, Joohyung Lee |
| 2025 | LLM-DR: A Novel LLM-Aided Diffusion Model for Rule Generation on Temporal Knowledge Graphs. Kai Chen, Xin Song, Ye Wang, Liqun Gao, Aiping Li, Xiaojuan Zhao, Bin Zhou, Yalong Xie |
| 2025 | LLM-Powered User Simulator for Recommender System. Zijian Zhang, Shuchang Liu, Ziru Liu, Rui Zhong, Qingpeng Cai, Xiangyu Zhao, Chunxu Zhang, Qidong Liu, Peng Jiang |
| 2025 | LLM-RG4: Flexible and Factual Radiology Report Generation Across Diverse Input Contexts. Zhuhao Wang, Yihua Sun, Zihan Li, Xuan Yang, Fang Chen, Hongen Liao |
| 2025 | LLM-based Online Prediction of Time-varying Graph Signals (Student Abstract). Dayu Qin, Yi Yan, Ercan Engin Kuruoglu |
| 2025 | LLM4GEN: Leveraging Semantic Representation of LLMs for Text-to-Image Generation. Mushui Liu, Yuhang Ma, Zhen Yang, Jun Dan, Yunlong Yu, Zeng Zhao, Zhipeng Hu, Bai Liu, Changjie Fan |
| 2025 | LLM4RSR: Large Language Models as Data Correctors for Robust Sequential Recommendation. Yatong Sun, Xiaochun Yang, Zhu Sun, Yan Wang, Bin Wang, Xinghua Qu |
| 2025 | LLMEmb: Large Language Model Can Be a Good Embedding Generator for Sequential Recommendation. Qidong Liu, Xian Wu, Wanyu Wang, Yejing Wang, Yuanshao Zhu, Xiangyu Zhao, Feng Tian, Yefeng Zheng |
| 2025 | LLMs in the Classroom: Outcomes and Perceptions of Questions Written with the Aid of AI. Gavin Witsken, Igor Crk, Eren Gultepe |
| 2025 | LLaVA Needs More Knowledge: Retrieval Augmented Natural Language Generation with Knowledge Graph for Explaining Thoracic Pathologies. Ameer Hamza, Abdullah, Yong Hyun Ahn, Sungyoung Lee, Seong Tae Kim |
| 2025 | LNS2+RL: Combining Multi-agent Reinforcement Learning with Large Neighborhood Search in Multi-agent Path Finding. Yutong Wang, Tanishq Duhan, Jiaoyang Li, Guillaume Sartoretti |
| 2025 | LOHA: Direct Graph Spectral Contrastive Learning Between Low-Pass and High-Pass Views. Ziyun Zou, Yinghui Jiang, Lian Shen, Juan Liu, Xiangrong Liu |
| 2025 | LOMA: Language-assisted Semantic Occupancy Network via Triplane Mamba. Yubo Cui, Zhiheng Li, Jiaqiang Wang, Zheng Fang |
| 2025 | LPCG: A Self-conditional Architecture for Labeled Point Cloud Generation. Dongshuo Huang, Xiaoshui Huang, Chengdong Zhang, Yilei Shi |
| 2025 | LRM-LLaVA: Overcoming the Modality Gap of Multilingual Large Language-Vision Model for Low-Resource Languages. Junchen Li, Qing Yang, Bojian Jiang, Shaolin Zhu, Qingxuan Sun |
| 2025 | LS-TGNN: Long and Short-Term Temporal Graph Neural Network for Session-Based Recommendation. Zhonghong Ou, Xiao Zhang, Yifan Zhu, Shuai Lyu, Jiahao Liu, Tu Ao |
| 2025 | LTLf Synthesis Under Unreliable Input. Christian Hagemeier, Giuseppe De Giacomo, Moshe Y. Vardi |
| 2025 | LTLf Synthesis on First-Order Agent Programs in Nondeterministic Environments. Till Hofmann, Jens Claßen |
| 2025 | LVPTrack: High Performance Domain Adaptive UAV Tracking with Label Aligned Visual Prompt Tuning. Hongjing Wu, Siyuan Yao, Feng Huang, Shu Wang, Linchao Zhang, Zhuoran Zheng, Wenqi Ren |
| 2025 | Label Aggregation for Composite Crowd Tasks by Worker Ability Constraint Satisfaction. Jiyi Li |
| 2025 | Label Noise Correction via Fuzzy Learning Machine. Jiye Liang, Yixiao Li, Junbiao Cui |
| 2025 | Label-Efficient Data Augmentation with Video Diffusion Models for Guidewire Segmentation in Cardiac Fluoroscopy. Shaoyan Pan, Yikang Liu, Lin Zhao, Eric Z. Chen, Xiao Chen, Terrence Chen, Shanhui Sun |
| 2025 | Label-Free Backdoor Attacks in Vertical Federated Learning. Wei Shen, Wenke Huang, Guancheng Wan, Mang Ye |
| 2025 | Langevin Monte Carlo Beyond Lipschitz Gradient Continuity. Matej Benko, Iwona Chlebicka, Jørgen Endal, Blazej Miasojedow |
| 2025 | Langevin Multiplicative Weights Update with Applications in Polynomial Portfolio Management. Yi Feng, Xiao Wang, Tian Xie |
| 2025 | Language Model Can Listen While Speaking. Ziyang Ma, Yakun Song, Chenpeng Du, Jian Cong, Zhuo Chen, Yuping Wang, Yuxuan Wang, Xie Chen |
| 2025 | Language Model Meets Prototypes: Towards Interpretable Text Classification Models through Prototypical Networks. Ximing Wen |
| 2025 | Language Models of Code Are Few-Shot Planners and Reasoners for Multi-Document Summarization with Attribution. Abhilash Nandy, Sambaran Bandyopadhyay |
| 2025 | Language Pre-training Guided Masking Representation Learning for Time Series Classification. Liaoyuan Tang, Zheng Wang, Jie Wang, Guanxiong He, Zhezheng Hao, Rong Wang, Feiping Nie |
| 2025 | Language Prompt for Autonomous Driving. Dongming Wu, Wencheng Han, Yingfei Liu, Tiancai Wang, Cheng-Zhong Xu, Xiangyu Zhang, Jianbing Shen |
| 2025 | Language Ranker: A Metric for Quantifying LLM Performance Across High and Low-Resource Languages. Zihao Li, Yucheng Shi, Zirui Liu, Fan Yang, Ali Payani, Ninghao Liu, Mengnan Du |
| 2025 | Language-Models-as-a-Service: Overview of a New Paradigm and its Challenges. Emanuele La Malfa, Aleksandar Petrov, Simon Frieder, Christoph Weinhuber, Ryan Burnell, Raza Nazar, Anthony G. Cohn, Nigel Shadbolt, Michael J. Wooldridge |
| 2025 | Large Images Are Gaussians: High-Quality Large Image Representation with Levels of 2D Gaussian Splatting. Lingting Zhu, Guying Lin, Jinnan Chen, Xinjie Zhang, Zhenchao Jin, Zhao Wang, Lequan Yu |
| 2025 | Large Language Model Meets Graph Neural Network in Knowledge Distillation. Shengxiang Hu, Guobing Zou, Song Yang, Shiyi Lin, Yanglan Gan, Bofeng Zhang, Yixin Chen |
| 2025 | Large Language Models Are Read/Write Policy-Makers for Simultaneous Generation. Shoutao Guo, Shaolei Zhang, Zhengrui Ma, Yang Feng |
| 2025 | Large Language Models Enhanced Personalized Graph Neural Architecture Search in Federated Learning. Hui Fang, Yang Gao, Peng Zhang, Jiangchao Yao, Hongyang Chen, Haishuai Wang |
| 2025 | Large-Scale School Mapping Using Weakly Supervised Deep Learning for Universal School Connectivity. Isabelle Tingzon, Utku Can Ozturk, Iván Dotú |
| 2025 | Last-iterate Convergence in Regularized Graphon Mean Field Game. Jing Dong, Baoxiang Wang, Yaoliang Yu |
| 2025 | Latent Diffusion-Enhanced Virtual Try-On via Optimized Pseudo-Label Generation. Chenghu Du, Junyin Wang, Feng Yu, Shengwu Xiong |
| 2025 | Latent Reward: LLM-Empowered Credit Assignment in Episodic Reinforcement Learning. Yun Qu, Yuhang Jiang, Boyuan Wang, Yixiu Mao, Cheems Wang, Chang Liu, Xiangyang Ji |
| 2025 | LayerAct: Advanced Activation Mechanism for Robust Inference of CNNs. Kihyuk Yoon, Chiehyeon Lim |
| 2025 | Layered-Parameter Perturbation for Zeroth-Order Optimization of Optical Neural Networks. Hiroshi Sawada, Kazuo Aoyama, Masaya Notomi |
| 2025 | LazyDiT: Lazy Learning for the Acceleration of Diffusion Transformers. Xuan Shen, Zhao Song, Yufa Zhou, Bo Chen, Yanyu Li, Yifan Gong, Kai Zhang, Hao Tan, Jason Kuen, Henghui Ding, Zhihao Shu, Wei Niu, Pu Zhao, Yanzhi Wang, Jiuxiang Gu |
| 2025 | Learn How to Query from Unlabeled Data Streams in Federated Learning. Yuchang Sun, Xinran Li, Tao Lin, Jun Zhang |
| 2025 | Learn2Aggregate: Supervised Generation of Chvatal-Gomory Cuts Using Graph Neural Networks. Arnaud Deza, Elias B. Khalil, Zhenan Fan, Zirui Zhou, Yong Zhang |
| 2025 | Learnability of Parameter-Bounded Bayes Nets. Arnab Bhattacharyya, Davin Choo, Sutanu Gayen, Dimitrios Myrisiotis |
| 2025 | Learned Image Transmission with Hierarchical Variational Autoencoder. Guangyi Zhang, Hanlei Li, Yunlong Cai, Qiyu Hu, Guanding Yu, Runmin Zhang |
| 2025 | Learning 2D Invariant Affordance Knowledge for 3D Affordance Grounding. Xianqiang Gao, Pingrui Zhang, Delin Qu, Dong Wang, Zhigang Wang, Yan Ding, Bin Zhao |
| 2025 | Learning About Algorithm Auditing in Five Steps: Scaffolding How High School Youth Can Systematically and Critically Evaluate Machine Learning Applications. Luis Morales-Navarro, Yasmin B. Kafai, Lauren Vogelstein, Evelyn Yu, Danaë Metaxa |
| 2025 | Learning Causal Transition Matrix for Instance-dependent Label Noise. Jiahui Li, Tai-Wei Chang, Kun Kuang, Ximing Li, Long Chen, Jun Zhou |
| 2025 | Learning Complex Heterogeneous Multimodal Fake News via Social Latent Network Inference. Mingxin Li, Yuchen Zhang, Haowei Xu, Xianghua Li, Chao Gao, Zhen Wang |
| 2025 | Learning Complexity of Gradient Descent and Conjugate Gradient Algorithms. Xianqi Jiao, Jia Liu, Zhiping Chen |
| 2025 | Learning Concept Prerequisite Relation via Global Knowledge Relation Optimization. Miao Zhang, Jiawei Wang, Kui Xiao, Shihui Wang, Yan Zhang, Hao Chen, Zhifei Li |
| 2025 | Learning Cross-Domain Representations for Transferable Drug Perturbations on Single-Cell Transcriptional Responses. Hui Liu, Shikai Jin |
| 2025 | Learning Deep Dissipative Dynamics. Yuji Okamoto, Ryosuke Kojima |
| 2025 | Learning Disentangled Equivariant Representation for Explicitly Controllable 3D Molecule Generation. Haoran Liu, Youzhi Luo, Tianxiao Li, James Caverlee, Martin Renqiang Min |
| 2025 | Learning Dynamic Similarity by Bidirectional Hierarchical Sliding Semantic Probe for Efficient Text Video Retrieval. Yang Liu, Shudong Huang, Deng Xiong, Jiancheng Lv |
| 2025 | Learning Fine-Grained Alignment for Aerial Vision-Dialog Navigation. Yifei Su, Dong An, Kehan Chen, Weichen Yu, Baiyang Ning, Yonggen Ling, Yan Huang, Liang Wang |
| 2025 | Learning Fine-grained Domain Generalization via Hyperbolic State Space Hallucination. Qi Bi, Jingjun Yi, Haolan Zhan, Wei Ji, Gui-Song Xia |
| 2025 | Learning Generalized Residual Exchange-Correlation-Uncertain Functional for Density Functional Theory. Sizhuo Jin, Shuo Chen, Jianjun Qian, Ying Tai, Jun Li |
| 2025 | Learning Hierarchical Task Knowledge for Planning. Pat Langley |
| 2025 | Learning Joint Behaviors with Large Variations. Tianxu Li, Kun Zhu |
| 2025 | Learning Language Structures Through Grounding. Freda Shi |
| 2025 | Learning Local Neighborhoods of Non-Gaussian Graphical Models. Sarah Liaw, Rebecca E. Morrison, Youssef M. Marzouk, Ricardo Baptista |
| 2025 | Learning Logic Specifications for Policy Guidance in POMDPs: an Inductive Logic Programming Approach. Daniele Meli, Alberto Castellini, Alessandro Farinelli |
| 2025 | Learning More Expressive General Policies for Classical Planning Domains. Simon Ståhlberg, Blai Bonet, Hector Geffner |
| 2025 | Learning Multiple User Distributions for Recommendation via Guided Conditional Diffusion. Cheng Wu, Liang Su, Chaokun Wang, Shaoyun Shi, Ziqian Zhang, Ziyang Liu, Wang Peng, Wenjin Wu, Peng Jiang |
| 2025 | Learning Nash Equilibrium of Markov Potential Games with a Shared Constraint via Primal-Dual Optimization. Songtao Feng, Michael Dorothy, Jie Fu |
| 2025 | Learning Optimal Auctions with Correlated Value Distributions. Da Huo, Zhenzhe Zheng, Fan Wu |
| 2025 | Learning Personalized Decision Support Policies. Umang Bhatt, Valerie Chen, Katherine M. Collins, Parameswaran Kamalaruban, Emma Kallina, Adrian Weller, Ameet Talwalkar |
| 2025 | Learning Physics Informed Neural ODEs with Partial Measurements. Paul Ghanem, Ahmet Demirkaya, Tales Imbiriba, Alireza Ramezani, Zachary Danziger, Deniz Erdogmus |
| 2025 | Learning Production Functions for Supply Chains with Graph Neural Networks. Serina Chang, Zhiyin Lin, Benjamin Yan, Swapnil Bembde, Qi Xiu, Chi Heem Wong, Yu Qin, Frank Kloster, Xi Luo, Raj Palleti, Jure Leskovec |
| 2025 | Learning Regularization for Graph Inverse Problems. Moshe Eliasof, Md Shahriar Rahim Siddiqui, Carola-Bibiane Schönlieb, Eldad Haber |
| 2025 | Learning Robust and Privacy-Preserving Representations via Information Theory. Binghui Zhang, Sayedeh Leila Noorbakhsh, Yun Dong, Yuan Hong, Binghui Wang |
| 2025 | Learning Set Functions with Implicit Differentiation. Gözde Özcan, Chengzhi Shi, Stratis Ioannidis |
| 2025 | Learning Strategy Representation for Imitation Learning in Multi-Agent Games. Shiqi Lei, Kanghoon Lee, Linjing Li, Jinkyoo Park |
| 2025 | Learning Structural Causal Models from Ordering: Identifiable Flow Models. Minh Khoa Le, Kien Do, Truyen Tran |
| 2025 | Learning Structured World Models From and For Physical Interactions. Yunzhu Li |
| 2025 | Learning Theorem Rationale for Improving the Mathematical Reasoning Capability of Large Language Models. Yu Sheng, Linjing Li, Daniel Dajun Zeng |
| 2025 | Learning Together Securely: Prototype-Based Federated Multi-Modal Hashing for Safe and Efficient Multi-Modal Retrieval. Ruifan Zuo, Chaoqun Zheng, Lei Zhu, Wenpeng Lu, Yuanyuan Xiang, Zhao Li, Xiaofeng Qu |
| 2025 | Learning Valid Dual Bounds in Constraint Programming: Boosted Lagrangian Decomposition with Self-Supervised Learning. Swann Bessa, Darius Dabert, Max Bourgeat, Louis-Martin Rousseau, Quentin Cappart |
| 2025 | Learning Verified Safe Neural Network Controllers for Multi-Agent Path Finding. Mingyue Zhang, Nianyu Li, Yi Chen, Jialong Li, Xiaoyi Zhang, Hengjun Zhao, Jiamou Liu, Wu Chen |
| 2025 | Learning Visually Grounded Domain Ontologies via Embodied Conversation and Explanation. Jonghyuk Park, Alex Lascarides, Subramanian Ramamoorthy |
| 2025 | Learning from Mistakes: Self-correct Adversarial Training for Chinese Unnatural Text Correction. Xuan Feng, Tianlong Gu, Xiaoli Liu, Liang Chang |
| 2025 | Learning from Noisy Labels via Self-Taught On-the-Fly Meta Loss Rescaling. Michael Heck, Christian Geishauser, Nurul Lubis, Carel van Niekerk, Shutong Feng, Hsien-Chin Lin, Benjamin Matthias Ruppik, Renato Vukovic, Milica Gasic |
| 2025 | Learning from Summarized Data: Gaussian Process Regression with Sample Quasi-Likelihood. Yuta Shikuri |
| 2025 | Learning to Collaborate with Unknown Agents in the Absence of Reward. Zuyuan Zhang, Hanhan Zhou, Mahdi Imani, Taeyoung Lee, Tian Lan |
| 2025 | Learning to Generate Gradients for Test-Time Adaptation via Test-Time Training Layers. Qi Deng, Shuaicheng Niu, Ronghao Zhang, Yaofo Chen, Runhao Zeng, Jian Chen, Xiping Hu |
| 2025 | Learning to Manipulate Under Limited Information. Wesley H. Holliday, Alexander Kristoffersen, Eric Pacuit |
| 2025 | Learning to Prompt with Text Only Supervision for Vision-Language Models. Muhammad Uzair Khattak, Muhammad Ferjad Naeem, Muzammal Naseer, Luc Van Gool, Federico Tombari |
| 2025 | Learning to Rewind via Iterative Prediction of Past Weights for Practical Unlearning. Jinhyeok Jang, Jaehong Kim, Chan-Hyun Youn |
| 2025 | Learning to Think like a Neuron in Middle School. David S. Touretzky, Christina Gardner-McCune, William Hanna, Angela Chen, Neel Pawar |
| 2025 | Learning with Open-world Noisy Data via Class-independent Margin in Dual Representation Space. Linchao Pan, Can Gao, Jie Zhou, Jinbao Wang |
| 2025 | Learnware Specification via Label-Aware Neural Embedding. Wei Chen, Junxiang Mao, Min-Ling Zhang |
| 2025 | Less Is More: Adaptive Program Repair with Bug Localization and Preference Learning. Zhenlong Dai, Bingrui Chen, Zhuoluo Zhao, Xiu Tang, Sai Wu, Chang Yao, Zhipeng Gao, Jingyuan Chen |
| 2025 | Less Is More: Token Context-Aware Learning for Object Tracking. Chenlong Xu, Bineng Zhong, Qihua Liang, Yaozong Zheng, Guorong Li, Shuxiang Song |
| 2025 | Lessons for Editors of AI Incidents from the AI Incident Database. Kevin Paeth, Daniel Atherton, Nikiforos Pittaras, Heather Frase, Sean McGregor |
| 2025 | Leveraging Anatomical Consistency for Multi-Object Detection in Ultrasound Images via Source-free Unsupervised Domain Adaptation. Bin Pu, Xingguo Lv, Jiewen Yang, Xingbo Dong, Yiqun Lin, Shengli Li, Kenli Li, Xiaomeng Li |
| 2025 | Leveraging Asynchronous Spiking Neural Networks for Ultra Efficient Event-Based Visual Processing. DingYi Zeng, Yuchen Wang, Honglin Cao, Wanlong Liu, Yichen Xiao, Chengzhuo Lu, Wenyu Chen, Malu Zhang, Guoqing Wang, Yang Yang |
| 2025 | Leveraging Attention to Effectively Compress Prompts for Long-Context LLMs. Yunlong Zhao, Haoran Wu, Bo Xu |
| 2025 | Leveraging Computer Vision and Visual LLMs for Cost-Effective and Consistent Street Food Safety Assessment in Kolkata India. Alexey Chernikov, Klaus Ackermann, Caitlin Brown, Denni Tommasi |
| 2025 | Leveraging Consistent Spatio-Temporal Correspondence for Robust Visual Odometry. Zhaoxing Zhang, Junda Cheng, Gangwei Xu, Xiaoxiang Wang, Can Zhang, Xin Yang |
| 2025 | Leveraging Constraint Violation Signals for Action Constrained Reinforcement Learning. Janaka Chathuranga Brahmanage, Jiajing Ling, Akshat Kumar |
| 2025 | Leveraging First and Zeroth-Order Gradient to Address Imbalanced Black-Box Prompt Tuning via Minimax Optimization. Haozhen Zhang, Zhaogeng Liu, Bin Gu, Yi Chang |
| 2025 | Leveraging Group Classification with Descending Soft Labeling for Deep Imbalanced Regression. Ruizhi Pu, Gezheng Xu, Ruiyi Fang, Bingkun Bao, Charles Ling, Boyu Wang |
| 2025 | Leveraging Human Input to Enable Robust, Interactive, and Aligned AI Systems. Daniel S. Brown |
| 2025 | Leveraging Large Language Models for Node Generation in Few-Shot Learning on Text-Attributed Graphs. Jianxiang Yu, Yuxiang Ren, Chenghua Gong, Jiaqi Tan, Xiang Li, Xuecang Zhang |
| 2025 | Leveraging Large Language Models for Wind Energy Assessment. Janice Anta Zebaze, Azanzi Jiomekong, Innocent Souopgui, Germaine Djuidje Kenmoe |
| 2025 | Leveraging Large Vision-Language Model as User Intent-Aware Encoder for Composed Image Retrieval. Zelong Sun, Dong Jing, Guoxing Yang, Nanyi Fei, Zhiwu Lu |
| 2025 | Leveraging RGB-D Data with Cross-Modal Context Mining for Glass Surface Detection. Jiaying Lin, Yuen Hei Yeung, Shuquan Ye, Rynson W. H. Lau |
| 2025 | Leveraging Textual Memory and Key Frame Reasoning for Full Video Understanding Using Off-the-Shelf LLMs and VLMs (Student Abstract). Harsh Dubey, Chulwoo Pack |
| 2025 | Leveraging the Dual Capabilities of LLM: LLM-Enhanced Text Mapping Model for Personality Detection. Weihong Bi, Feifei Kou, Lei Shi, Yawen Li, Haisheng Li, Jinpeng Chen, Mingying Xu |
| 2025 | LiD-FL: Towards List-Decodable Federated Learning. Hong Liu, Liren Shan, Han Bao, Ronghui You, Yuhao Yi, Jiancheng Lv |
| 2025 | LiDAR-LLM: Exploring the Potential of Large Language Models for 3D LiDAR Understanding. Senqiao Yang, Jiaming Liu, Renrui Zhang, Mingjie Pan, Ziyu Guo, Xiaoqi Li, Zehui Chen, Peng Gao, Hongsheng Li, Yandong Guo, Shanghang Zhang |
| 2025 | LiON: Learning Point-Wise Abstaining Penalty for LiDAR Outlier DetectioN Using Diverse Synthetic Data. Shaocong Xu, Pengfei Li, Qianpu Sun, Xinyu Liu, Yang Li, Shihui Guo, Zhen Wang, Bo Jiang, Rui Wang, Kehua Sheng, Bo Zhang, Li Jiang, Hao Zhao, Yilun Chen |
| 2025 | Lifelong Scalable Generative System via Online Maximum Mean Discrepancy. Fei Ye, Adrian G. Bors |
| 2025 | Lifting Scheme-Based Implicit Disentanglement of Emotion-Related Facial Dynamics in the Wild. Xingjian Wang, Li Chai |
| 2025 | Light-T2M: A Lightweight and Fast Model for Text-to-motion Generation. Ling-An Zeng, Guohong Huang, Gaojie Wu, Wei-Shi Zheng |
| 2025 | LightPROF: A Lightweight Reasoning Framework for Large Language Model on Knowledge Graph. Tu Ao, Yanhua Yu, Yuling Wang, Yang Deng, Zirui Guo, Liang Pang, Pinghui Wang, Tat-Seng Chua, Xiao Zhang, Zhen Cai |
| 2025 | Lightweight Contrastive Distilled Hashing for Online Cross-modal Retrieval. Jiaxing Li, Lin Jiang, Zeqi Ma, Kaihang Jiang, Xiaozhao Fang, Jie Wen |
| 2025 | Lightweight Yet Fine-Grained: A Graph Capsule Convolutional Network with Subspace Alignment for Shared-Account Sequential Recommendation. Jinyu Zhang, Zhongying Zhao, Chao Li, Yanwei Yu |
| 2025 | Like an Ophthalmologist: Dynamic Selection Driven Multi-View Learning for Diabetic Retinopathy Grading. Xiaoling Luo, Qihao Xu, Huisi Wu, Chengliang Liu, Zhihui Lai, Linlin Shen |
| 2025 | Limitations in Employing Natural Language Supervision for Sensor-Based Human Activity Recognition - And Ways to Overcome Them. Harish Haresamudram, Apoorva Beedu, Mashfiqui Rabbi, Sankalita Saha, Irfan Essa, Thomas Ploetz |
| 2025 | Linear Decoding of Morphology Relations in Language Models (Student Abstract). Eric Xia, Jugal Kalita |
| 2025 | Linear Equations with Min and Max Operators: Computational Complexity. Krishnendu Chatterjee, Ruichen Luo, Raimundo Saona, Jakub Svoboda |
| 2025 | Linear Streaming Bandit: Regret Minimization and Fixed-Budget Epsilon-Best Arm Identification. Yuming Shao, Zhixuan Fang |
| 2025 | Linking Industry Sectors and Financial Statements: A Hybrid Approach for Company Classification. Guy Stephane Waffo Dzuyo, Gaël Guibon, Christophe Cerisara, Luis Belmar-Letelier |
| 2025 | List Update with Prediction. Yossi Azar, Shahar Lewkowicz, Varun Suriyanarayana |
| 2025 | LiteSearch: Efficient Tree Search with Dynamic Exploration Budget for Math Reasoning. Ante Wang, Linfeng Song, Ye Tian, Baolin Peng, Dian Yu, Haitao Mi, Jinsong Su, Dong Yu |
| 2025 | Little Is Enough: Boosting Privacy by Sharing Only Hard Labels in Federated Semi-Supervised Learning. Amr Abourayya, Jens Kleesiek, Kanishka Rao, Erman Ayday, Bharat Rao, Geoffrey I. Webb, Michael Kamp |
| 2025 | LoGoFair: Post-Processing for Local and Global Fairness in Federated Learning. Li Zhang, Chaochao Chen, Zhongxuan Han, Qiyong Zhong, Xiaolin Zheng |
| 2025 | LoRA Unlearns More and Retains More (Student Abstract). Atharv Mittal |
| 2025 | LoRID: Low-Rank Iterative Diffusion for Adversarial Purification. Geigh Zollicoffer, Minh N. Vu, Ben Nebgen, Juan Castorena, Boian S. Alexandrov, Manish Bhattarai |
| 2025 | Local Causal Discovery Without Causal Sufficiency. Zhaolong Ling, Jiale Yu, Yiwen Zhang, Debo Cheng, Peng Zhou, Xingyu Wu, Bingbing Jiang, Kui Yu |
| 2025 | Local Causal Discovery for Structural Evidence of Direct Discrimination. Jacqueline R. M. A. Maasch, Kyra Gan, Violet Chen, Agni Orfanoudaki, Nil-Jana Akpinar, Fei Wang |
| 2025 | Local Conditional Controlling for Text-to-Image Diffusion Models. Yibo Zhao, Liang Peng, Yang Yang, Zekai Luo, Hengjia Li, Yao Chen, Zheng Yang, Xiaofei He, Wei Zhao, Qinglin Lu, Wei Liu, Boxi Wu |
| 2025 | Locally Convex Global Loss Network for Decision-Focused Learning. Haeun Jeon, Hyunglip Bae, Minsu Park, Chanyeong Kim, Woo Chang Kim |
| 2025 | Locate Anything on Earth: Advancing Open-Vocabulary Object Detection for Remote Sensing Community. Jiancheng Pan, Yanxing Liu, Yuqian Fu, Muyuan Ma, Jiahao Li, Danda Pani Paudel, Luc Van Gool, Xiaomeng Huang |
| 2025 | Logarithmic Regret for Linear Markov Decision Processes with Adversarial Corruptions. Canzhe Zhao, Xiangcheng Zhang, Baoxiang Wang, Shuai Li |
| 2025 | Logic Induced High-Order Reasoning Network for Event-Event Relation Extraction. Peixin Huang, Xiang Zhao, Minghao Hu, Zhen Tan, Weidong Xiao |
| 2025 | Logic-Q: Improving Deep Reinforcement Learning-based Quantitative Trading via Program Sketch-based Tuning. Zhiming Li, Junzhe Jiang, Yushi Cao, Aixin Cui, Bozhi Wu, Bo Li, Yang Liu, Danny Dongning Sun |
| 2025 | LogicAD: Explainable Anomaly Detection via VLM-based Text Feature Extraction. Er Jin, Qihui Feng, Yongli Mou, Gerhard Lakemeyer, Stefan Decker, Oliver Simons, Johannes Stegmaier |
| 2025 | Long-Tailed Out-of-Distribution Detection: Prioritizing Attention to Tail. Yina He, Lei Peng, Yongcun Zhang, Juanjuan Weng, Shaozi Li, Zhiming Luo |
| 2025 | Long-Term EEG Partitioning for Seizure Onset Detection. Zheng Chen, Yasuko Matsubara, Yasushi Sakurai, Jimeng Sun |
| 2025 | Look Around Before Locating: Considering Content and Structure Information for Visual Grounding. Shiyi Zheng, Peizhi Zhao, Zhilong Zheng, Peihang He, Haonan Cheng, Yi Cai, Qingbao Huang |
| 2025 | Look Back for More: Harnessing Historical Sequential Updates for Personalized Federated Adapter Tuning. Danni Peng, Yuan Wang, Huazhu Fu, Jinpeng Jiang, Yong Liu, Rick Siow Mong Goh, Qingsong Wei |
| 2025 | Look Before You Leap: Enhance Attention and Vigilance Regarding Harmful Content with GuidelineLLM. Shaoqing Zhang, Zhuosheng Zhang, Kehai Chen, Rongxiang Weng, Muyun Yang, Tiejun Zhao, Min Zhang |
| 2025 | Look Inside for More: Internal Spatial Modality Perception for 3D Anomaly Detection. Hanzhe Liang, Guoyang Xie, Chengbin Hou, Bingshu Wang, Can Gao, Jinbao Wang |
| 2025 | Loosely Synchronized Rule-Based Planning for Multi-Agent Path Finding with Asynchronous Actions. Shuai Zhou, Shizhe Zhao, Zhongqiang Ren |
| 2025 | Low-Light Image Enhancement via Generative Perceptual Priors. Han Zhou, Wei Dong, Xiaohong Liu, Yulun Zhang, Guangtao Zhai, Jun Chen |
| 2025 | M2Flow: A Motion Information Fusion Framework for Enhanced Unsupervised Optical Flow Estimation in Autonomous Driving. Xunpei Sun, Gang Chen, Zuoxun Hou |
| 2025 | M2OST: Many-to-one Regression for Predicting Spatial Transcriptomics from Digital Pathology Images. Hongyi Wang, Xiuju Du, Jing Liu, Shuyi Ouyang, Yen-Wei Chen, Lanfen Lin |
| 2025 | M3Net: Efficient Time-Frequency Integration Network with Mirror Attention for Audio Classification on Edge. Xuanming Jiang, Baoyi An, Guoshuai Zhao, Xueming Qian |
| 2025 | M3Net: Multimodal Multi-task Learning for 3D Detection, Segmentation, and Occupancy Prediction in Autonomous Driving. Xuesong Chen, Shaoshuai Shi, Tao Ma, Jingqiu Zhou, Simon See, Ka Chun Cheung, Hongsheng Li |
| 2025 | MABR: Multilayer Adversarial Bias Removal Without Prior Bias Knowledge. Maxwell J. Yin, Boyu Wang, Charles Ling |
| 2025 | MAFT: Multimodal Automated Fact-Checking via Textualization. Kazuya Kakizaki, Yuto Matsunaga, Ryo Furukawa |
| 2025 | MAGIC: Generating Self-Correction Guideline for In-Context Text-to-SQL. Arian Askari, Christian Pölitz, Xinye Tang |
| 2025 | MAMS: Model-Agnostic Module Selection Framework for Video Captioning. Sangho Lee, Il Yong Chun, Hogun Park |
| 2025 | MAPF-GPT: Imitation Learning for Multi-Agent Pathfinding at Scale. Anton Andreychuk, Konstantin S. Yakovlev, Aleksandr Panov, Alexey Skrynnik |
| 2025 | MAPLE: A Framework for Active Preference Learning Guided by Large Language Models. Saaduddin Mahmud, Mason Nakamura, Shlomo Zilberstein |
| 2025 | MARS: Mixture of Auto-Regressive Models for Fine-grained Text-to-image Synthesis. Wanggui He, Siming Fu, Mushui Liu, Xierui Wang, Wenyi Xiao, Fangxun Shu, Yi Wang, Lei Zhang, Zhelun Yu, Haoyuan Li, Ziwei Huang, Leilei Gan, Hao Jiang |
| 2025 | MASS: Overcoming Language Bias in Image-Text Matching. Jiwan Chung, Seungwon Lim, Sangkyu Lee, Youngjae Yu |
| 2025 | MATWA: A Web Toolkit for Matching Under Preferences. Frederik Glitzner, David F. Manlove |
| 2025 | MCAT: Visual Query-Based Localization of Standard Anatomical Clips in Fetal Ultrasound Videos Using Multi-Tier Class-Aware Token Transformer. Divyanshu Mishra, Pramit Saha, He Zhao, Netzahualcoyotl Hernandez-Cruz, Olga Patey, Aris T. Papageorghiou, J. Alison Noble |
| 2025 | MCGAN: Enhancing GAN Training with Regression-Based Generator Loss. Baoren Xiao, Hao Ni, Weixin Yang |
| 2025 | MDD-5k: A New Diagnostic Conversation Dataset for Mental Disorders Synthesized via Neuro-Symbolic LLM Agents. Congchi Yin, Feng Li, Shu Zhang, Zike Wang, Jun Shao, Piji Li, Jianhua Chen, Xun Jiang |
| 2025 | MDFG: Multi-Dimensional Fine-Grained Modeling for Fatigue Detection. Mei Wang, Xiaojie Zhu, Ruimin Hu, Dongliang Zhu, Liang Liao, Mang Ye |
| 2025 | ME: Modelling Ethical Values for Value Alignment. Eryn Rigley, Adriane Chapman, Christine Evers, William McNeill |
| 2025 | MEATRD: Multimodal Anomalous Tissue Region Detection Enhanced with Spatial Transcriptomics. Kaichen Xu, Qilong Wu, Yan Lu, Yinan Zheng, Wenlin Li, Xingjie Tang, Jun Wang, Xiaobo Sun |
| 2025 | MEDSAGE: Enhancing Robustness of Medical Dialogue Summarization to ASR Errors with LLM-generated Synthetic Dialogues. Kuluhan Binici, Abhinav Ramesh Kashyap, Viktor Schlegel, Andy T. Liu, Vijay Prakash Dwivedi, Thanh-Tung Nguyen, Xiaoxue Gao, Nancy F. Chen, Stefan Winkler |
| 2025 | MENTOR: Multi-level Self-supervised Learning for Multimodal Recommendation. Jinfeng Xu, Zheyu Chen, Shuo Yang, Jinze Li, Hewei Wang, Edith C. H. Ngai |
| 2025 | MEPNet: Medical Entity-Balanced Prompting Network for Brain CT Report Generation. Xiaodan Zhang, Yanzhao Shi, Junzhong Ji, Chengxin Zheng, Liangqiong Qu |
| 2025 | MFL-Owner: Ownership Protection for Multi-modal Federated Learning via Orthogonal Transform Watermark. Keke Gai, Dongjue Wang, Jing Yu, Mohan Wang, Liehuang Zhu, Qi Wu |
| 2025 | MGDA: Model-based Goal Data Augmentation for Offline Goal-conditioned Weighted Supervised Learning. Xing Lei, Xuetao Zhang, Donglin Wang |
| 2025 | MHBench: Demystifying Motion Hallucination in VideoLLMs. Ming Kong, Xianzhou Zeng, Luyuan Chen, Yadong Li, Bo Yan, Qiang Zhu |
| 2025 | MI-CAPTCHA: Enhance the Security of CAPTCHA Using Mooney Images. Jingmeng Li, Lukang Fu, Surun Yang, Hui Wei |
| 2025 | MIA-Tuner: Adapting Large Language Models as Pre-training Text Detector. Wenjie Fu, Huandong Wang, Chen Gao, Guanghua Liu, Yong Li, Tao Jiang |
| 2025 | MIDI-GPT: A Controllable Generative Model for Computer-Assisted Multitrack Music Composition. Philippe Pasquier, Jeff Ens, Nathan Fradet, Paul Triana, Davide Rizzotti, Jean-Baptiste Rolland, Maryam Safi |
| 2025 | MIETT: Multi-Instance Encrypted Traffic Transformer for Encrypted Traffic Classification. Xu-Yang Chen, Lu Han, De-Chuan Zhan, Han-Jia Ye |
| 2025 | MIMTrack: In-Context Tracking via Masked Image Modeling. Xingmei Wang, Guohao Nie, Jiaxiang Meng, Zining Yan |
| 2025 | ML-GOOD: Towards Multi-Label Graph Out-Of-Distribution Detection. Tingyi Cai, Yunliang Jiang, Ming Li, Changqin Huang, Yi Wang, Qionghao Huang |
| 2025 | MLAAN: Scaling Supervised Local Learning with Multilaminar Leap Augmented Auxiliary Network. Yuming Zhang, Shouxin Zhang, Peizhe Wang, Feiyu Zhu, Dongzhi Guan, Junhao Su, Jiabin Liu, Changpeng Cai |
| 2025 | MLC-NC: Long-Tailed Multi-Label Image Classification Through the Lens of Neural Collapse. Zijian Tao, Shao-Yuan Li, Wenhai Wan, Jinpeng Zheng, Jia-Yao Chen, Yuchen Li, Sheng-Jun Huang, Songcan Chen |
| 2025 | MM-CamObj: A Comprehensive Multimodal Dataset for Camouflaged Object Scenarios. Jiacheng Ruan, Wenzhen Yuan, Zehao Lin, Ning Liao, Zhiyu Li, Feiyu Xiong, Ting Liu, Yuzhuo Fu |
| 2025 | MM-Mixing: Multi-Modal Mixing Alignment for 3D Understanding. Jiaze Wang, Yi Wang, Ziyu Guo, Renrui Zhang, Donghao Zhou, Guangyong Chen, Anfeng Liu, Pheng-Ann Heng |
| 2025 | MM-Tracker: Motion Mamba for UAV-platform Multiple Object Tracking. Mufeng Yao, Jinlong Peng, Qingdong He, Bo Peng, Hao Chen, Mingmin Chi, Chao Liu, Jón Atli Benediktsson |
| 2025 | MMGDreamer: Mixed-Modality Graph for Geometry-Controllable 3D Indoor Scene Generation. Zhifei Yang, Keyang Lu, Chao Zhang, Jiaxing Qi, Hanqi Jiang, Ruifei Ma, Shenglin Yin, Yifan Xu, Mingzhe Xing, Zhen Xiao, Jieyi Long, Xiangde Liu, Guangyao Zhai |
| 2025 | MMJ-Bench: A Comprehensive Study on Jailbreak Attacks and Defenses for Vision Language Models. Fenghua Weng, Yue Xu, Chengyan Fu, Wenjie Wang |
| 2025 | MMPF: Multi-Modal Perception Framework for Abnormal Medical Condition Detection. Chuyi Zhong, Dingkang Yang, Peng Zhai, Lihua Zhang |
| 2025 | MOCID: Motion Context and Displacement Information Learning for Moving Infrared Small Target Detection. Mingjin Zhang, Yuanjun Ouyang, Fei Gao, Jie Guo, Qiming Zhang, Jing Zhang |
| 2025 | MOL-Mamba: Enhancing Molecular Representation with Structural & Electronic Insights. Jingjing Hu, Dan Guo, Zhan Si, Deguang Liu, Yunfeng Diao, Jing Zhang, Jinxing Zhou, Meng Wang |
| 2025 | MORE: Molecule Pretraining with Multi-Level Pretext Task. Yeongyeong Son, Dasom Noh, Gyoungyoung Heo, Gyoung Jin Park, Sunyoung Kwon |
| 2025 | MOS: Model Surgery for Pre-Trained Model-Based Class-Incremental Learning. Hai-Long Sun, Da-Wei Zhou, Hanbin Zhao, Le Gan, De-Chuan Zhan, Han-Jia Ye |
| 2025 | MP: Endowing Large Language Models with Lateral Thinking. Tian Bai, Yongwang Cao, Yan Ge, Haitao Yu |
| 2025 | MPQ-DM: Mixed Precision Quantization for Extremely Low Bit Diffusion Models. Weilun Feng, Haotong Qin, Chuanguang Yang, Zhulin An, Libo Huang, Boyu Diao, Fei Wang, Renshuai Tao, Yongjun Xu, Michele Magno |
| 2025 | MPTSNet: Integrating Multiscale Periodic Local Patterns and Global Dependencies for Multivariate Time Series Classification. Yang Mu, Muhammad Shahzad, Xiao Xiang Zhu |
| 2025 | MRBTP: Efficient Multi-Robot Behavior Tree Planning and Collaboration. Yishuai Cai, Xinglin Chen, Zhongxuan Cai, Yunxin Mao, Minglong Li, Wenjing Yang, Ji Wang |
| 2025 | MRR-FV: Unlocking Complex Fact Verification with Multi-Hop Retrieval and Reasoning. Liwen Zheng, Chaozhuo Li, Litian Zhang, Haoran Jia, Senzhang Wang, Zheng Liu, Xi Zhang |
| 2025 | MSAmba: Exploring Multimodal Sentiment Analysis with State Space Models. Xilin He, Haijian Liang, Boyi Peng, Weicheng Xie, Muhammad Haris Khan, Siyang Song, Zitong Yu |
| 2025 | MSE-Adapter: A Lightweight Plugin Endowing LLMs with the Capability to Perform Multimodal Sentiment Analysis and Emotion Recognition. Yang Yang, Xunde Dong, Yupeng Qiang |
| 2025 | MSP-MVS: Multi-Granularity Segmentation Prior Guided Multi-View Stereo. Zhenlong Yuan, Cong Liu, Fei Shen, Zhaoxin Li, Jinguo Luo, Tianlu Mao, Zhaoqi Wang |
| 2025 | MSR: A Multifaceted Self-Retrieval Framework for Microscopic Cascade Prediction. Dongsheng Hong, Chao Chen, Xujia Li, Shuhui Wang, Wen Lin, Xiangwen Liao |
| 2025 | MSSDA: Multi-Sub-Source Domain Adaptation for Diabetic Foot Neuropathy Recognition. Yan Zhong, Zhixin Yan, Yi Xie, Shibin Wu, Huaidong Zhang, Lin Shu, Peiru Zhou |
| 2025 | MSV-PCT: Multi-Sparse-View Enhanced Transformer Framework for Salient Object Detection in Point Clouds. Zihao Wang, Yiming Huang, Gengyu Lyu, Yucheng Zhao, Ziyu Zhou, Bochen Xie, Zhen Yang, Yongjian Deng |
| 2025 | MTGA: Multi-View Temporal Granularity Aligned Aggregation for Event-Based Lip-Reading. Wenhao Zhang, Jun Wang, Yong Luo, Lei Yu, Wei Yu, Zheng He, Jialie Shen |
| 2025 | MTL-LoRA: Low-Rank Adaptation for Multi-Task Learning. Yaming Yang, Dilxat Muhtar, Yelong Shen, Yuefeng Zhan, Jianfeng Liu, Yujing Wang, Hao Sun, Weiwei Deng, Feng Sun, Qi Zhang, Weizhu Chen, Yunhai Tong |
| 2025 | MTVHunter: Smart Contracts Vulnerability Detection Based on Multi-Teacher Knowledge Translation. Guokai Sun, Yuan Zhuang, Shuo Zhang, Xiaoyu Feng, Zhenguang Liu, Liguo Zhang |
| 2025 | MUC: Mixture of Uncalibrated Cameras for Robust 3D Human Body Reconstruction. Yitao Zhu, Sheng Wang, Mengjie Xu, Zixu Zhuang, Zhixin Wang, Kaidong Wang, Han Zhang, Qian Wang |
| 2025 | MUCD: Unsupervised Point Cloud Change Detection via Masked Consistency. Yue Wu, Zhipeng Wang, Yongzhe Yuan, Maoguo Gong, Hao Li, Mingyang Zhang, Wenping Ma, Qiguang Miao |
| 2025 | MUN: Image Forgery Localization Based on M³ Encoder and UN Decoder. Yaqi Liu, Shuhuan Chen, Haichao Shi, Xiao-Yu Zhang, Song Xiao, Qiang Cai |
| 2025 | MUSE: Mamba Is Efficient Multi-scale Learner for Text-video Retrieval. Haoran Tang, Meng Cao, Jinfa Huang, Ruyang Liu, Peng Jin, Ge Li, Xiaodan Liang |
| 2025 | MV-VTON: Multi-View Virtual Try-On with Diffusion Models. Haoyu Wang, Zhilu Zhang, Donglin Di, Shiliang Zhang, Wangmeng Zuo |
| 2025 | MVREC: A General Few-shot Defect Classification Model Using Multi-View Region-Context. Shuai Lyu, Rongchen Zhang, Zeqi Ma, Fangjian Liao, Dongmei Mo, Waikeung Wong |
| 2025 | MVReward: Better Aligning and Evaluating Multi-View Diffusion Models with Human Preferences. Weitao Wang, Haoran Xu, Yuxiao Yang, Zhifang Liu, Jun Meng, Haoqian Wang |
| 2025 | MYOPIA: Protecting Face Privacy from Malicious Personalized Text-to-Image Synthesis via Unlearnable Examples. Zhihao Wu, Yushi Cheng, Tianyang Sun, Xiaoyu Ji, Wenyuan Xu |
| 2025 | M^3EL: A Multi-task Multi-topic Dataset for Multi-modal Entity Linking. Fang Wang, Shenglin Yin, Xiaoying Bai, Minghao Hu, Tianwei Yan, Yi Liang |
| 2025 | MaFeRw: Query Rewriting with Multi-Aspect Feedbacks for Retrieval-Augmented Large Language Models. Yujing Wang, Hainan Zhang, Liang Pang, Binghui Guo, Hongwei Zheng, Zhiming Zheng |
| 2025 | MagicMan: Generative Novel View Synthesis of Humans with 3D-Aware Diffusion and Iterative Refinement. Xu He, Zhiyong Wu, Xiaoyu Li, Di Kang, Chaopeng Zhang, Jiangnan Ye, Liyang Chen, Xiangjun Gao, Han Zhang, Haolin Zhuang |
| 2025 | MagicNaming: Consistent Identity Generation by Finding a "Name Space" in T2I Diffusion Models. Jing Zhao, Heliang Zheng, Chaoyue Wang, Long Lan, Wanrong Huang, Yuhua Tang |
| 2025 | MaintaAvatar: A Maintainable Avatar Based on Neural Radiance Fields by Continual Learning. Shengbo Gu, Yu-Kun Qiu, Yu-Ming Tang, Ancong Wu, Weishi Zheng |
| 2025 | Maintaining Fairness in Logit-based Knowledge Distillation for Class-Incremental Learning. Zijian Gao, Shanhao Han, Xingxing Zhang, Kele Xu, Dulan Zhou, Xinjun Mao, Yong Dou, Huaimin Wang |
| 2025 | Make Domain Shift a Catastrophic Forgetting Alleviator in Class-Incremental Learning. Wei Chen, Yi Zhou |
| 2025 | Making Large Vision Language Models to Be Good Few-Shot Learners. Fan Liu, Wenwen Cai, Jian Huo, Chuanyi Zhang, Delong Chen, Jun Zhou |
| 2025 | Making Transparency Advocates: An Educational Approach Towards Better Algorithmic Transparency in Practice. Andrew Bell, Julia Stoyanovich |
| 2025 | MalCL: Leveraging GAN-Based Generative Replay to Combat Catastrophic Forgetting in Malware Classification. Jimin Park, AHyun Ji, Minji Park, Mohammad Saidur Rahman, Se Eun Oh |
| 2025 | MalDetectFormer: Leveraging Sparse SpatioTemporal Information for Effective Malicious Traffic Detection. Shuai Zhang, Yu Fan, Haoyi Zhou, Bo Li |
| 2025 | Mamba YOLO: A Simple Baseline for Object Detection with State Space Model. Zeyu Wang, Chen Li, Huiying Xu, Xinzhong Zhu, Hongbo Li |
| 2025 | Mamba-CAD: State Space Model for 3D Computer-Aided Design Generative Modeling. Xueyang Li, Yunzhong Lou, Yu Song, Xiangdong Zhou |
| 2025 | MambaLCT: Boosting Tracking via Long-term Context State Space Model. Xiaohai Li, Bineng Zhong, Qihua Liang, Guorong Li, Zhiyi Mo, Shuxiang Song |
| 2025 | MambaPro: Multi-Modal Object Re-identification with Mamba Aggregation and Synergistic Prompt. Yuhao Wang, Xuehu Liu, Tianyu Yan, Yang Liu, Aihua Zheng, Pingping Zhang, Huchuan Lu |
| 2025 | Manhattan Self-Attention Diffusion Residual Networks with Dynamic Bias Rectification for BCI-based Few-Shot Learning. Hao Wang, Li Xu, Yuntao Yu, Weiyue Ding, Yiming Xu |
| 2025 | Manta: Enhancing Mamba for Few-Shot Action Recognition of Long Sub-Sequence. Wenbo Huang, Jinghui Zhang, Guang Li, Lei Zhang, Shuoyuan Wang, Fang Dong, Jiahui Jin, Takahiro Ogawa, Miki Haseyama |
| 2025 | MapExpert: Online HD Map Construction with Simple and Efficient Sparse Map Element Expert. Dapeng Zhang, Dayu Chen, Peng Zhi, Yinda Chen, Zhenlong Yuan, Chenyang Li, Sunjing, Rui Zhou, Qingguo Zhou |
| 2025 | Mapping from Meaning: Addressing the Miscalibration of Prompt-Sensitive Language Models. Kyle Cox, Jiawei Xu, Yikun Han, Rong Xu, Tianhao Li, Chi-Yang Hsu, Tianlong Chen, Walter Gerych, Ying Ding |
| 2025 | Marginal Benefit Driven RL Teacher for Unsupervised Environment Design. Dexun Li, Wenjun Li, Pradeep Varakantham |
| 2025 | Markov Balance Satisfaction Improves Performance in Strictly Batch Offline Imitation Learning. Rishabh Agrawal, Nathan Dahlin, Rahul Jain, Ashutosh Nayyar |
| 2025 | MarkovType: A Markov Decision Process Strategy for Non-Invasive Brain-Computer Interfaces Typing Systems. Elifnur Sunger, Yunus Bicer, Deniz Erdogmus, Tales Imbiriba |
| 2025 | MaskPrompt: Open-Vocabulary Affordance Segmentation with Object Shape Mask Prompts. Dongpan Chen, Dehui Kong, Jinghua Li, Baocai Yin |
| 2025 | MaskViM: Domain Generalized Semantic Segmentation with State Space Models. Jiahao Li, Yang Lu, Yuan Xie, Yanyun Qu |
| 2025 | Masked Language Modeling Becomes Conditional Density Estimation for Tabular Data Synthesis. Seunghwan An, Gyeongdong Woo, Jaesung Lim, Chang-Hyun Kim, Sungchul Hong, Jong-June Jeon |
| 2025 | Massively Parallel Continuous Local Search for Hybrid SAT Solving on GPUs. Yunuo Cen, Zhiwei Zhang, Xuanyao Fong |
| 2025 | Matching While Perceiving: Enhance Image Feature Matching with Applicable Semantic Amalgamation. Shihua Zhang, Zhenjie Zhu, Zizhuo Li, Tao Lu, Jiayi Ma |
| 2025 | Math-PUMA: Progressive Upward Multimodal Alignment to Enhance Mathematical Reasoning. Wenwen Zhuang, Xin Huang, Xiantao Zhang, Jin Zeng |
| 2025 | MathMistake Checker: A Comprehensive Demonstration for Step-by-Step Math Problem Mistake Finding by Prompt-Guided LLMs. Tianyang Zhang, Zhuoxuan Jiang, Haotian Zhang, Lin Lin, Shaohua Zhang |
| 2025 | MathSpeech: Leveraging Small LMs for Accurate Conversion in Mathematical Speech-to-Formula. Sieun Hyeon, Kyudan Jung, Jaehee Won, Nam-Joon Kim, Hyun Gon Ryu, Hyuk-Jae Lee, Jaeyoung Do |
| 2025 | Max-Mahalanobis Anchors Guidance for Multi-View Clustering. Pei Zhang, Yuangang Pan, Siwei Wang, Shengju Yu, Huiying Xu, En Zhu, Xinwang Liu, Ivor W. Tsang |
| 2025 | Maximizing Signal in Human-Model Preference Alignment. Kelsey Kraus, Margaret Kroll |
| 2025 | Maximizing the Position Embedding for Vision Transformers with Global Average Pooling. Wonjun Lee, Bumsub Ham, Suhyun Kim |
| 2025 | McHirc: A Multimodal Benchmark for Chinese Idiom Reading Comprehension. Tongguan Wang, Mingmin Wu, Guixin Su, Dongyu Su, Yuxue Hu, Zhongqiang Huang, Ying Sha |
| 2025 | MeRino: Entropy-Driven Design for Generative Language Models on IoT Devices. Youpeng Zhao, Ming Lin, Huadong Tang, Qiang Wu, Jun Wang |
| 2025 | Measuring Cross-Modal Interactions in Multimodal Models. Laura Wenderoth, Konstantin Hemker, Nikola Simidjievski, Mateja Jamnik |
| 2025 | Measuring Error Alignment for Decision-Making Systems. Binxia Xu, Antonis Bikakis, Daniel F. O. Onah, Andreas Vlachidis, Luke Dickens |
| 2025 | Measuring Fine-Grained Urban Air Temperature with Satellite Imagery. Minhyuk Song, Sungwon Han, Seungeon Lee, DongHyun Ahn, Jihee Kim, Meeyoung Cha |
| 2025 | Measuring Human and AI Values Based on Generative Psychometrics with Large Language Models. Haoran Ye, Yuhang Xie, Yuanyi Ren, Hanjun Fang, Xin Zhang, Guojie Song |
| 2025 | Mechanism Design for Connecting Regions Under Disruptions. Hau Chan, Jianan Lin, Zining Qin, Chenhao Wang |
| 2025 | Mediation Analysis for Probabilities of Causation. Yuta Kawakami, Jin Tian |
| 2025 | Medical MLLM Is Vulnerable: Cross-Modality Jailbreak and Mismatched Attacks on Medical Multimodal Large Language Models. Xijie Huang, Xinyuan Wang, Hantao Zhang, Yinghao Zhu, Jiawen Xi, Jingkun An, Hao Wang, Hao Liang, Chengwei Pan |
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| 2025 | Medical Multimodal Model Stealing Attacks via Adversarial Domain Alignment. Yaling Shen, Zhixiong Zhuang, Kun Yuan, Maria-Irina Nicolae, Nassir Navab, Nicolas Padoy, Mario Fritz |
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| 2025 | Memory-Reduced Meta-Learning with Guaranteed Convergence. Honglin Yang, Ji Ma, Xiao Yu |
| 2025 | Mental-Perceiver: Audio-Textual Multi-Modal Learning for Estimating Mental Disorders. Jinghui Qin, Changsong Liu, Tianchi Tang, Dahuang Liu, Minghao Wang, Qianying Huang, Rumin Zhang |
| 2025 | MergeNet: Knowledge Migration Across Heterogeneous Models, Tasks, and Modalities. Kunxi Li, Tianyu Zhan, Kairui Fu, Shengyu Zhang, Kun Kuang, Jiwei Li, Zhou Zhao, Fan Wu, Fei Wu |
| 2025 | Merging Mechanisms for Ads and Organic Items in E-commerce Platforms. Nan An, Weian Li, Qi Qi, Liang Zhang |
| 2025 | MerryQuery: A Trustworthy LLM-Powered Tool Providing Personalized Support for Educators and Students. Benyamin T. Tabarsi, Aditya Basarkar, Xukun Liu, Dongkuan Xu, Tiffany Barnes |
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| 2025 | MetaSymNet: A Tree-like Symbol Network with Adaptive Architecture and Activation Functions. Yanjie Li, Weijun Li, Lina Yu, Min Wu, Jingyi Liu, Shu Wei, Yusong Deng, Meilan Hao |
| 2025 | Metric Distortion of Line-up Elections: The Right Person for the Right Job. Christopher Jerrett, Yue Han, Elliot Anshelevich |
| 2025 | Metric-Agnostic Continual Learning for Sustainable Group Fairness. Heng Lian, Chen Zhao, Zhong Chen, Xingquan Zhu, My T. Thai, Yi He |
| 2025 | Micro-macro Wavelet-based Gaussian Splatting for 3D Reconstruction from Unconstrained Images. Yihui Li, Chengxin Lv, Hongyu Yang, Di Huang |
| 2025 | MicroFiberDetect: An Application for the Detection of Microfibres in Wastewater Sludge Based on CNNs. Félix Martí Pérez, Ana Domínguez-Rodríguez, Cèsar Ferri, Carlos Monserrat |
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| 2025 | Mind Individual Information! Principal Graph Learning for Multimedia Recommendation. Penghang Yu, Zhiyi Tan, Guanming Lu, Bing-Kun Bao |
| 2025 | Mind the Uncertainty in Human Disagreement: Evaluating Discrepancies Between Model Predictions and Human Responses in VQA. Jian Lan, Diego Frassinelli, Barbara Plank |
| 2025 | MindPainter: Efficient Brain-Conditioned Painting of Natural Images via Cross-Modal Self-Supervised Learning. Muzhou Yu, Shuyun Lin, Hongwei Yan, Kaisheng Ma |
| 2025 | MindTuner: Cross-Subject Visual Decoding with Visual Fingerprint and Semantic Correction. Zixuan Gong, Qi Zhang, Guangyin Bao, Lei Zhu, Rongtao Xu, Ke Liu, Liang Hu, Duoqian Miao |
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| 2025 | Mining In-distribution Attributes in Outliers for Out-of-distribution Detection. Yutian Lei, Luping Ji, Pei Liu |
| 2025 | Mitigating Bias in Machine Learning: A Comprehensive Review and Novel Approaches. Mahdi Khalili |
| 2025 | Mitigating Feature Gap for Adversarial Robustness by Feature Disentanglement. Nuoyan Zhou, Dawei Zhou, Decheng Liu, Nannan Wang, Xinbo Gao |
| 2025 | Mitigating Hallucinations in Large Vision-Language Models by Adaptively Constraining Information Flow. Jiaqi Bai, Hongcheng Guo, Zhongyuan Peng, Jian Yang, Zhoujun Li, Mohan Li, Zhihong Tian |
| 2025 | Mitigating Pervasive Modality Absence Through Multimodal Generalization and Refinement. Wuliang Huang, Yiqiang Chen, Xinlong Jiang, Chenlong Gao, Teng Zhang, Qian Chen, Yifan Wang |
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| 2025 | Mixed-Curvature Multi-Modal Knowledge Graph Completion. Yuxiao Gao, Fuwei Zhang, Zhao Zhang, Xiaoshuang Min, Fuzhen Zhuang |
| 2025 | Mixture of Experts Based Multi-Task Supervise Learning from Crowds. Tao Han, Huaixuan Shi, Xinyi Ding, Xiao Ma, Huamao Gu, Yili Fang |
| 2025 | Mixture of Experts as Representation Learner for Deep Multi-View Clustering. Yunhe Zhang, Jinyu Cai, Zhihao Wu, Pengyang Wang, See-Kiong Ng |
| 2025 | Mixture of Knowledge Minigraph Agents for Literature Review Generation. Zhi Zhang, Yan Liu, Sheng-hua Zhong, Gong Chen, Yu Yang, Jiannong Cao |
| 2025 | Mixture of Online and Offline Experts for Non-Stationary Time Series. Zhilin Zhao, Longbing Cao, Yuan-Yu Wan |
| 2025 | Mixture-of-Attack-Experts with Class Regularization for Unified Physical-Digital Face Attack Detection. Shunxin Chen, Ajian Liu, Junze Zheng, Jun Wan, Kailai Peng, Sergio Escalera, Zhen Lei |
| 2025 | Mjölnir: Breaking the Shield of Perturbation-Protected Gradients via Adaptive Diffusion. Xuan Liu, Siqi Cai, Qihua Zhou, Song Guo, Ruibin Li, Kaiwei Lin |
| 2025 | MoDiTalker: Motion-Disentangled Diffusion Model for High-Fidelity Talking Head Generation. Seyeon Kim, Siyoon Jin, Jihye Park, Kihong Kim, Jiyoung Kim, Jisu Nam, Seungryong Kim |
| 2025 | MoE-LPR: Multilingual Extension of Large Language Models Through Mixture-of-Experts with Language Priors Routing. Hao Zhou, Zhijun Wang, Shujian Huang, Xin Huang, Xue Han, Junlan Feng, Chao Deng, Weihua Luo, Jiajun Chen |
| 2025 | MoLE: Decoding by Mixture of Layer Experts Alleviates Hallucination in Large Vision-Language Models. Tian Liang, Yuetian Du, Jing Huang, Ming Kong, Luyuan Chen, Yadong Li, Siye Chen, Qiang Zhu |
| 2025 | MoRe: Class Patch Attention Needs Regularization for Weakly Supervised Semantic Segmentation. Zhiwei Yang, Yucong Meng, Kexue Fu, Shuo Wang, Zhijian Song |
| 2025 | Mobility Data Representations for Spatiotemporal Tasks. Cristiano Landi |
| 2025 | Modality-Aware Shot Relating and Comparing for Video Scene Detection. Jiawei Tan, Hongxing Wang, Kang Dang, Jiaxin Li, Zhilong Ou |
| 2025 | Modality-Independent Graph Neural Networks with Global Transformers for Multimodal Recommendation. Jun Hu, Bryan Hooi, Bingsheng He, Yinwei Wei |
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| 2025 | ModelDiff: Symbolic Dynamic Programming for Model-Aware Policy Transfer in Deep Q-Learning. Xiaotian Liu, Jihwan Jeong, Ayal Taitler, Michael Gimelfarb, Scott Sanner |
| 2025 | Modeling All Response Surfaces in One for Conditional Search Spaces. Jiaxing Li, Wei Liu, Chao Xue, Yibing Zhan, Xiaoxing Wang, Weifeng Liu, Dacheng Tao |
| 2025 | Modeling Inter-Intra Heterogeneity for Graph Federated Learning. Wentao Yu, Shuo Chen, Yongxin Tong, Tianlong Gu, Chen Gong |
| 2025 | Modeling Latent Non-Linear Dynamical System over Time Series. Ren Fujiwara, Yasuko Matsubara, Yasushi Sakurai |
| 2025 | Modular-Cam: Modular Dynamic Camera-view Video Generation with LLM. Zirui Pan, Xin Wang, Yipeng Zhang, Hong Chen, Kwan Man Cheng, Yaofei Wu, Wenwu Zhu |
| 2025 | Momentum Pseudo-Labeling for Weakly Supervised Phrase Grounding. Dongdong Kuang, Richong Zhang, Zhijie Nie, Junfan Chen, Jaein Kim |
| 2025 | Monitoring Primitive Interactions During the Training of DNNs. Jie Ren, Xinhao Zheng, Jiyu Liu, Andrew Lizarraga, Ying Nian Wu, Liang Lin, Quanshi Zhang |
| 2025 | MonoBox: Tightness-Free Box-Supervised Polyp Segmentation Using Monotonicity Constraint. Qiang Hu, Zhenyu Yi, Ying Zhou, Fan Huang, Mei Liu, Qiang Li, Zhiwei Wang |
| 2025 | Moonshine: Distilling Game Content Generators into Steerable Generative Models. Yuhe Nie, Michael Middleton, Tim Merino, Nidhushan Kanagaraja, Ashutosh Kumar, Zhan Zhuang, Julian Togelius |
| 2025 | More Text, Less Point: Towards 3D Data-Efficient Point-Language Understanding. Yuan Tang, Xu Han, Xianzhi Li, Qiao Yu, Jinfeng Xu, Yixue Hao, Long Hu, Min Chen |
| 2025 | Motif Guided Graph Transformers with Combinatorial Skeleton Prototype Learning for Skeleton-Based Person Re-Identification. Haocong Rao, Chunyan Miao |
| 2025 | Motif-Oriented Representation Learning with Topology Refinement for Drug-Drug Interaction Prediction. Ran Zhang, Xuezhi Wang, Guannan Liu, Pengyang Wang, Yuanchun Zhou, Pengfei Wang |
| 2025 | Motif-aware Graph Neural Networks for Networked Time Series Imputation. Nourhan Ahmed, Vijaya Krishna Yalavarthi, Lars Schmidt-Thieme |
| 2025 | MotifGPL: Motif-Enhanced Graph Prototype Learning for Deciphering Urban Social Segregation. Tengfei He, Xiao Zhou |
| 2025 | Motion Artifact Removal in Pixel-Frequency Domain via Alternate Masks and Diffusion Model. Jiahua Xu, Dawei Zhou, Lei Hu, Jianfeng Guo, Feng Yang, Zaiyi Liu, Nannan Wang, Xinbo Gao |
| 2025 | Motion Decoupled 3D Gaussian Splatting for Dynamic Object Representation. Xiao Hu, Libo Long, Jochen Lang |
| 2025 | Motion Prior Knowledge Learning with Homogeneous Language Descriptions for Moving Infrared Small Target Detection. Shengjia Chen, Luping Ji, Weiwei Duan, Shuang Peng, Mao Ye |
| 2025 | Motion-Zero: A Zero-Shot Trajectory Control Framework of Moving Object for Diffusion-Based Video Generation. Changgu Chen, Junwei Shu, Gaoqi He, Changbo Wang, Yang Li |
| 2025 | Motion-adaptive Transformer for Event-based Image Deblurring. Senyan Xu, Zhijing Sun, Mingchen Zhong, Chengzhi Cao, Yidi Liu, Xueyang Fu, Yan Chen |
| 2025 | Motion-aware Contrastive Learning for Temporal Panoptic Scene Graph Generation. Thong Thanh Nguyen, Xiaobao Wu, Yi Bin, Cong-Duy T. Nguyen, See-Kiong Ng, Anh Tuan Luu |
| 2025 | MotionCraft: Crafting Whole-Body Motion with Plug-and-Play Multimodal Controls. Yuxuan Bian, Ailing Zeng, Xuan Ju, Xian Liu, Zhaoyang Zhang, Wei Liu, Qiang Xu |
| 2025 | Move and Act: Enhanced Object Manipulation and Background Integrity for Image Editing. Pengfei Jiang, Mingbao Lin, Fei Chao |
| 2025 | MuMA-ToM: Multi-modal Multi-Agent Theory of Mind. Haojun Shi, Suyu Ye, Xinyu Fang, Chuanyang Jin, Leyla Isik, Yen-Ling Kuo, Tianmin Shu |
| 2025 | Multi Agent Reinforcement Learning for Sequential Satellite Assignment Problems. Joshua Holder, Natasha Jaques, Mehran Mesbahi |
| 2025 | Multi-Agent Motion Planning for Differential Drive Robots Through Stationary State Search. Jingtian Yan, Jiaoyang Li |
| 2025 | Multi-Agent Security Tax: Trading Off Security and Collaboration Capabilities in Multi-Agent Systems. Pierre Peigné, Mikolaj Kniejski, Filip Sondej, Matthieu David, Jason Hoelscher-Obermaier, Christian Schröder de Witt, Esben Kran |
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| 2025 | Multi-Attribute Multi-Grained Adaptation of Pre-Trained Language Models for Text Understanding from Bayesian Perspective. You Zhang, Jin Wang, Liang-Chih Yu, Dan Xu, Xuejie Zhang |
| 2025 | Multi-Branch Self-Drafting for LLM Inference Acceleration. Zipeng Gao, Qingrong Xia, Tong Xu, Xinyu Duan, Zhi Zheng, Zhefeng Wang, Enhong Chen |
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| 2025 | Multi-Grained Query-Guided Set Prediction Network for Grounded Multimodal Named Entity Recognition. Jielong Tang, Zhenxing Wang, Ziyang Gong, Jianxing Yu, Xiangwei Zhu, Jian Yin |
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| 2025 | Multi-Objective Molecular Design Through Learning Latent Pareto Set. Yiping Liu, Jiahao Yang, Xuanbai Ren, Xinyi Zhang, Yuansheng Liu, Bosheng Song, Xiangxiang Zeng, Hisao Ishibuchi |
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| 2025 | Multi-View Empowered Structural Graph Wordification for Language Models. Zipeng Liu, Likang Wu, Ming He, Zhong Guan, Hongke Zhao, Nan Feng |
| 2025 | Multi-View Incremental Learning with Structured Hebbian Plasticity for Enhanced Fusion Efficiency. Yuhong Chen, Ailin Song, Huifeng Yin, Shuai Zhong, Fuhai Chen, Qi Xu, Shiping Wang, Mingkun Xu |
| 2025 | Multi-View Multi-Label Classification via View-Label Matching Selection. Hao Wei, Yongjian Deng, Qiuru Hai, Yuena Lin, Zhen Yang, Gengyu Lyu |
| 2025 | Multi-View Pedestrian Occupancy Prediction with a Novel Synthetic Dataset. Sithu Aung, Min-Cheol Sagong, Junghyun Cho |
| 2025 | Multi-View Unsupervised Column Subset Selection via Combinatorial Search (Student Abstract). Guihong Wan, Ninghui Hao, Crystal Maung, Haim Schweitzer, Chen Zhao, Kun-Hsing Yu, Yevgeniy R. Semenov |
| 2025 | Multi-aspect Self-guided Deep Information Bottleneck for Multi-modal Clustering. Shizhe Hu, Jiahao Fan, Guoliang Zou, Yangdong Ye |
| 2025 | Multi-axis Prompt and Multi-dimension Fusion Network for All-in-one Weather-degraded Image Restoration. Yuanbo Wen, Tao Gao, Jing Zhang, Ziqi Li, Ting Chen |
| 2025 | Multi-clue Consistency Learning to Bridge Gaps Between General and Oriented Object in Semi-supervised Detection. Chenxu Wang, Chunyan Xu, Xiang Li, Yuxuan Li, Xu Guo, Ziqi Gu, Zhen Cui |
| 2025 | Multi-concept Model Immunization through Differentiable Model Merging. Amber Yijia Zheng, Raymond A. Yeh |
| 2025 | Multi-fingered Hand Grasps with Visuo-Tactile Fusion via Multi-Agent Deep Reinforcement Learning. Peida Jia, Xuanheng Li, Tianqiang Zhu, Rina Wu, Xiangbo Lin, Yi Sun |
| 2025 | Multi-label Self Knowledge Distillation. Xucong Wang, Pengkun Wang, Shurui Zhang, Miao Fang, Yang Wang |
| 2025 | Multi-modal Deepfake Detection via Multi-task Audio-Visual Prompt Learning. Hui Miao, Yuanfang Guo, Zeming Liu, Yunhong Wang |
| 2025 | Multi-modal and Multi-scale Spatial Environment Understanding for Immersive Visual Text-to-Speech. Rui Liu, Shuwei He, Yifan Hu, Haizhou Li |
| 2025 | Multi-scale Activation, Selection, and Aggregation: Exploring Diverse Cues for Fine-Grained Bird Recognition. Zhicheng Zhang, Hao Tang, Jinhui Tang |
| 2025 | Multi-task Visual Grounding with Coarse-to-Fine Consistency Constraints. Ming Dai, Jian Li, Jiedong Zhuang, Xian Zhang, Wankou Yang |
| 2025 | Multi-to-Single: Reducing Multimodal Dependency in Emotion Recognition Through Contrastive Learning. Yan-Kai Liu, Jinyu Cai, Bao-Liang Lu, Wei-Long Zheng |
| 2025 | Multi-type MOOCs Recommendation: Leveraging Deep Multi-Relational Representation and Hierarchical Reasoning. Ye Zhang, Yanqi Gao, Dongjie Wang, Yupeng Zhou, Jinlong He, Zhaoyang Sun, Minghao Yin |
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| 2025 | Multi-view Evidential Learning-based Medical Image Segmentation. Chao Huang, Yushu Shi, Waikeung Wong, Chengliang Liu, Wei Wang, Zhihua Wang, Jie Wen |
| 2025 | Multi-view Granular-ball Contrastive Clustering. Peng Su, Shudong Huang, Weihong Ma, Deng Xiong, Jiancheng Lv |
| 2025 | MultiBooth: Towards Generating All Your Concepts in an Image from Text. Chenyang Zhu, Kai Li, Yue Ma, Chunming He, Xiu Li |
| 2025 | MultiSFL: Towards Accurate Split Federated Learning via Multi-Model Aggregation and Knowledge Replay. Zeke Xia, Ming Hu, Dengke Yan, Ruixuan Liu, Anran Li, Xiaofei Xie, Mingsong Chen |
| 2025 | Multifaceted User Modeling in Recommendation: A Federated Foundation Models Approach. Chunxu Zhang, Guodong Long, Hongkuan Guo, Zhaojie Liu, Guorui Zhou, Zijian Zhang, Yang Liu, Bo Yang |
| 2025 | Multilingual LLMs Inherently Reward In-Language Time-Sensitive Semantic Alignment for Low-Resource Languages. Ashutosh Bajpai, Tanmoy Chakraborty |
| 2025 | Multilingual Mathematical Reasoning: Advancing Open-Source LLMs in Hindi and English. Avinash Anand, Kritarth Prasad, Chhavi Kirtani, Ashwin R. Nair, Manvendra Kumar Nema, Raj Jaiswal, Rajiv Ratn Shah |
| 2025 | Multimodal Class-aware Semantic Enhancement Network for Audio-Visual Video Parsing. Pengcheng Zhao, Jinxing Zhou, Yang Zhao, Dan Guo, Yanxiang Chen |
| 2025 | Multimodal Commonsense Knowledge Distillation for Visual Question Answering (Student Abstract). Shuo Yang, Siwen Luo, Soyeon Caren Han |
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| 2025 | Multimodal Fusion Using Multi-View Domains for Data Heterogeneity in Federated Learning. Min Gao, Haifeng Zheng, Xinxin Feng, Ran Tao |
| 2025 | Multimodal Hypothetical Summary for Retrieval-based Multi-image Question Answering. Peize Li, Qingyi Si, Peng Fu, Zheng Lin, Yan Wang |
| 2025 | Multimodal Promptable Token Merging for Diffusion Models. Cheng-Yao Hong, Tyng-Luh Liu |
| 2025 | Multimodal Variational Autoencoder: A Barycentric View. Peijie Qiu, Wenhui Zhu, Sayantan Kumar, Xiwen Chen, Jin Yang, Xiaotong Sun, Abolfazl Razi, Yalin Wang, Aristeidis Sotiras |
| 2025 | Multiple Feature Refining Network for Visual Emotion Distribution Learning. Qinfu Xu, Shaozu Yuan, Yiwei Wei, Jie Wu, Leiquan Wang, Chunlei Wu |
| 2025 | Multiple Mean-Payoff Optimization Under Local Stability Constraints. David Klaska, Antonín Kucera, Vojtech Kur, Vít Musil, Vojtech Rehák |
| 2025 | Multiple Purchase Chains with Negative Transfer Elimination for Multi-Behavior Recommendation. Shuwei Gong, Yuting Liu, Yizhou Dang, Guibing Guo, Jianzhe Zhao, Xingwei Wang |
| 2025 | Multiple Trade-offs: An Improved Approach for Lexicographic Linear Bandits. Bo Xue, Xi Lin, Xiaoyuan Zhang, Qingfu Zhang |
| 2025 | Multiplex Graph Representation Learning with Homophily and Consistency. Yudi Huang, Ci Nie, Hongqing He, Yujie Mo, Yonghua Zhu, Guoqiu Wen, Xiaofeng Zhu |
| 2025 | Multisensory Machine Intelligence. Ruohan Gao |
| 2025 | Multispectral Pedestrian Detection with Sparsely Annotated Label. Chan Lee, Seungho Shin, Gyeong-Moon Park, Jung Uk Kim |
| 2025 | Muses: 3D-Controllable Image Generation via Multi-Modal Agent Collaboration. Yanbo Ding, Shaobin Zhuang, Kunchang Li, Zhengrong Yue, Yu Qiao, Yali Wang |
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| 2025 | NAAM: Node-Aware Attention Mechanism for Distilling GNNs-to-MLP (Student Abstract). Itsuki Nakayama, Makoto Onizuka |
| 2025 | NBA3D: Neighbor-Based Confidence Adjustment for 3D Rare Object Detection Using LiDAR. Jooyoung Lee, Jaeyoon Lee, Jongwon Choi |
| 2025 | NEST: A Neuromodulated Small-world Hypergraph Trajectory Prediction Model for Autonomous Driving. Chengyue Wang, Haicheng Liao, Bonan Wang, Yanchen Guan, Bin Rao, Ziyuan Pu, Zhiyong Cui, Cheng-Zhong Xu, Zhenning Li |
| 2025 | NLGT: Neighborhood-based and Label-enhanced Graph Transformer Framework for Node Classification. Xiaolong Xu, Yibo Zhou, Haolong Xiang, Xiaoyong Li, Xuyun Zhang, Lianyong Qi, Wanchun Dou |
| 2025 | NLSR: Neuron-Level Safety Realignment of Large Language Models Against Harmful Fine-Tuning. Xin Yi, Shunfan Zheng, Linlin Wang, Gerard de Melo, Xiaoling Wang, Liang He |
| 2025 | NOMATTERXAI: Generating "No Matter What" Alterfactual Examples for Explaining Black-Box Text Classification Models. Tuc Van Nguyen, James Michels, Hua Shen, Thai Le |
| 2025 | NaFV-Net: An Adversarial Four-view Network for Mammogram Classification. Feng Lu, Yuxiang Hou, Wei Li, Xiangying Yang, Haibo Zheng, Wenxi Luo, Leqing Chen, Yuyang Cao, Xiaofei Liao, Yu Zhang, Fan Yang, Albert Y. Zomaya, Hai Jin |
| 2025 | Natural Language Generation with Expert Standards. Joseph Marvin Imperial |
| 2025 | NaviFormer: A Spatio-Temporal Context-Aware Transformer for Object Navigation. Wei Xie, Haobo Jiang, Yun Zhu, Jianjun Qian, Jin Xie |
| 2025 | Navigating Label Ambiguity for Facial Expression Recognition in the Wild. JunGyu Lee, Yeji Choi, Haksub Kim, Ig-Jae Kim, Gi Pyo Nam |
| 2025 | Navigating Towards Fairness with Data Selection. Yixuan Zhang, Zhidong Li, Yang Wang, Fang Chen, Xuhui Fan, Feng Zhou |
| 2025 | NeSyCoCo: A Neuro-Symbolic Concept Composer for Compositional Generalization. Danial Kamali, Elham J. Barezi, Parisa Kordjamshidi |
| 2025 | Nearly Tight Bounds for Exploration in Streaming Multi-Armed Bandits with Known Optimality Gap. Nikolai Karpov, Chen Wang |
| 2025 | Nearly Tight Bounds on Approximate Equilibria in Spatial Competition on the Line. Umang Bhaskar, Soumyajit Pyne |
| 2025 | Neighbor Does Matter: Density-Aware Contrastive Learning for Medical Semi-supervised Segmentation. Feilong Tang, Zhongxing Xu, Ming Hu, Wenxue Li, Peng Xia, Yiheng Zhong, Hanjun Wu, Jionglong Su, Zongyuan Ge |
| 2025 | Neighborhood-Aware Negative Sampling for Student Knowledge and Behavior Modeling. Siqian Zhao, Sherry Sahebi |
| 2025 | Network Inversion of Convolutional Neural Nets (Student Abstract). Pirzada Suhail, Amit Sethi |
| 2025 | Neural Assembler: Learning to Generate Fine-Grained Robotic Assembly Instructions from Multi-View Images. Hongyu Yan, Yadong Mu |
| 2025 | Neural Block Compression: Variable Bitrates Feature Blocks for Texture Representation. Rui Shi, Yishun Dou, Zhong Zheng, Xiangzhong Fang, Wenjun Zhang, Bingbing Ni |
| 2025 | Neural Collapse Inspired Knowledge Distillation. Shuoxi Zhang, Zijian Song, Kun He |
| 2025 | Neural Combinatorial Clustered Bandits for Recommendation Systems. Baran Atalar, Carlee Joe-Wong |
| 2025 | Neural Combinatorial Optimization for Stochastic Flexible Job Shop Scheduling Problems. Igor G. Smit, Yaoxin Wu, Pavel Troubil, Yingqian Zhang, Wim P. M. Nuijten |
| 2025 | Neural Conformal Control for Time Series Forecasting. Ruipu Li, Alexander Rodríguez |
| 2025 | Neural Conjugate Flows: A Physics-Informed Architecture with Flow Structure. Arthur Bizzi, Lucas Nissenbaum, João M. Pereira |
| 2025 | Neural Continuous-Time Supermartingale Certificates. Grigory Neustroev, Mirco Giacobbe, Anna Lukina |
| 2025 | Neural Control and Certificate Repair via Runtime Monitoring. Emily Yu, Dorde Zikelic, Thomas A. Henzinger |
| 2025 | Neural Networks Perform Sufficient Dimension Reduction. Shuntuo Xu, Zhou Yu |
| 2025 | Neural Reasoning Networks: Efficient Interpretable Neural Networks with Automatic Textual Explanations. Stephen Carrow, Kyle Erwin, Olga Vilenskaia, Parikshit Ram, Tim Klinger, Naweed Khan, Ndivhuwo Makondo, Alexander G. Gray |
| 2025 | Neural Reasoning for Sure Through Constructing Explainable Models. Tiansi Dong, Mateja Jamnik, Pietro Liò |
| 2025 | Neural Temporal Point Processes for Forecasting Directional Relations in Evolving Hypergraphs. Tony Gracious, Arman Gupta, Ambedkar Dukkipati |
| 2025 | Neural Variable-Order Fractional Differential Equation Networks. Wenjun Cui, Qiyu Kang, Xuhao Li, Kai Zhao, Wee Peng Tay, Weihua Deng, Yidong Li |
| 2025 | Neural-Symbolic Collaborative Distillation: Advancing Small Language Models for Complex Reasoning Tasks. Huanxuan Liao, Shizhu He, Yao Xu, Yuanzhe Zhang, Kang Liu, Jun Zhao |
| 2025 | NeuralFlix: A Simple While Effective Framework for Semantic Decoding of Videos from Non-invasive Brain Recordings. Jingyuan Sun, Mingxiao Li, Marie-Francine Moens |
| 2025 | Neuro-Guided Graph Search for Symbolic Regression (Student Abstract). Piotr Wyrwinski, Krzysztof Krawiec |
| 2025 | Neuron Explanations for Conformal Prediction (Student Abstract). Divya Lidder, Kathryn Morse, Bridget Sullivan, Wei Qian, Chenglin Miao, Mengdi Huai |
| 2025 | Neurons to Words: A Novel Method for Automated Neural Network Interpretability and Alignment. Lukas-Santo Puglisi, Fabio Valdés, Jakob Johannes Metzger |
| 2025 | Neurosymbolic Reinforcement Learning: Playing MiniHack with Probabilistic Logic Shields. David Debot, Gabriele Venturato, Giuseppe Marra, Luc De Raedt |
| 2025 | New Compilation Languages Based on Restricted Weak Decomposability. Petr Illner |
| 2025 | NightHaze: Nighttime Image Dehazing via Self-Prior Learning. Beibei Lin, Yeying Jin, Wending Yan, Wei Ye, Yuan Yuan, Robby T. Tan |
| 2025 | NightReID: A Large-Scale Nighttime Person Re-Identification Benchmark. Yuxuan Zhao, Weijian Ruan, He Li, Mang Ye |
| 2025 | No More Tuning: Prioritized Multi-Task Learning with Lagrangian Differential Multiplier Methods. Zhengxing Cheng, Yuheng Huang, Zhixuan Zhang, Dan Ou, Qingwen Liu |
| 2025 | Noise-Injected Spiking Graph Convolution for Energy-Efficient 3D Point Cloud Denoising. Zikuan Li, Qiaoyun Wu, Jialin Zhang, Kaijun Zhang, Jun Wang |
| 2025 | Noise-Resilient Symbolic Regression with Dynamic Gating Reinforcement Learning. Chenglu Sun, Shuo Shen, Wenzhi Tao, Deyi Xue, Zixia Zhou |
| 2025 | NoiseHGNN: Synthesized Similarity Graph-Based Neural Network for Noised Heterogeneous Graph Representation Learning. Xiong Zhang, Cheng Xie, Haoran Duan, Beibei Yu |
| 2025 | Noisy Correspondence Rectification via Asymmetric Similarity Learning. Yunbo Wang, Yujie Wu, Zhien Dai, Can Tian, Jun Long, Jianhai Chen |
| 2025 | Noisy Label Calibration for Multi-View Classification. Shilin Xu, Yuan Sun, Xingfeng Li, Siyuan Duan, Zhenwen Ren, Zheng Liu, Dezhong Peng |
| 2025 | Noisy Node Classification by Bi-level Optimization Based Multi-Teacher Distillation. Yujing Liu, Zongqian Wu, Zhengyu Lu, Ci Nie, Guoqiu Wen, Yonghua Zhu, Xiaofeng Zhu |
| 2025 | Non-Convex Tensor Recovery from Local Measurements. Tongle Wu, Ying Sun, Jicong Fan |
| 2025 | Non-stochastic Budgeted Online Pricing with Semi-Bandit Feedback. Xiang Liu, Hau Chan, Minming Li, Weiwei Wu, Long Tran-Thanh |
| 2025 | Normal-NeRF: Ambiguity-Robust Normal Estimation for Highly Reflective Scenes. Ji Shi, Xianghua Ying, Ruohao Guo, Bowei Xing, Wenzhen Yue |
| 2025 | Normalize Then Propagate: Efficient Homophilous Regularization for Few-Shot Semi-Supervised Node Classification. Baoming Zhang, Mingcai Chen, Jianqing Song, Shuangjie Li, Jie Zhang, Chongjun Wang |
| 2025 | Novel View Synthesis Under Large-Deviation Viewpoint for Autonomous Driving. Xin Ma, Jiguang Zhang, Peng Lu, Shibiao Xu, Chengwei Pan |
| 2025 | Novelty-Guided Data Reuse for Efficient and Diversified Multi-Agent Reinforcement Learning. Yangkun Chen, Kai Yang, Jian Tao, Jiafei Lyu |
| 2025 | Nuance Matters: Probing Epistemic Consistency in Causal Reasoning. Shaobo Cui, Junyou Li, Luca Mouchel, Yiyang Feng, Boi Faltings |
| 2025 | NumbOD: A Spatial-Frequency Fusion Attack Against Object Detectors. Ziqi Zhou, Bowen Li, Yufei Song, Zhifei Yu, Shengshan Hu, Wei Wan, Leo Yu Zhang, Dezhong Yao, Hai Jin |
| 2025 | Number Theoretic Accelerated Learning of Physics-Informed Neural Networks. Takashi Matsubara, Takaharu Yaguchi |
| 2025 | Numerical Pruning for Efficient Autoregressive Models. Xuan Shen, Zhao Song, Yufa Zhou, Bo Chen, Jing Liu, Ruiyi Zhang, Ryan A. Rossi, Hao Tan, Tong Yu, Xiang Chen, Yufan Zhou, Tong Sun, Pu Zhao, Yanzhi Wang, Jiuxiang Gu |
| 2025 | OAC: Output-adaptive Calibration for Accurate Post-training Quantization. Ali Edalati, Alireza Ghaffari, Mahsa Ghazvini Nejad, Lu Hou, Boxing Chen, Masoud Asgharian, Vahid Partovi Nia |
| 2025 | OAMaskFlow: Occlusion-Aware Motion Mask for Scene Flow. Xiongfeng Peng, Zhihua Liu, Weiming Li, Yamin Mao, Qiang Wang |
| 2025 | ODDN: Addressing Unpaired Data Challenges in Open-World Deepfake Detection on Online Social Networks. Renshuai Tao, Manyi Le, Chuangchuang Tan, Huan Liu, Haotong Qin, Yao Zhao |
| 2025 | OGP-Net: Optical Guidance Meets Pixel-Level Contrastive Distillation for Robust Multi-Modal and Missing Modality Segmentation. Aniruddh Sikdar, Jayant Teotia, Suresh Sundaram |
| 2025 | OLMD: Orientation-aware Long-term Motion Decoupling for Continuous Sign Language Recognition. Yiheng Yu, Sheng Liu, Yuan Feng, Min Xu, Zhelun Jin, Xuhua Yang |
| 2025 | OLiDM: Object-aware LiDAR Diffusion Models for Autonomous Driving. Tianyi Yan, Junbo Yin, Xianpeng Lang, Ruigang Yang, Cheng-Zhong Xu, Jianbing Shen |
| 2025 | OODML: Whole Slide Image Classification Meets Online Pseudo-Supervision and Dynamic Mutual Learning. Tingting Zheng, Kui Jiang, Hongxun Yao, Yi Xiao, Zhongyuan Wang |
| 2025 | OOTDiffusion: Outfitting Fusion Based Latent Diffusion for Controllable Virtual Try-On. Yuhao Xu, Tao Gu, Weifeng Chen, Arlene Chen |
| 2025 | OT-StainNet: Optimal Transport Driven Semantic Matching for Weakly Paired H&E-to-IHC Stain Transfer. Xianchao Guan, Yifeng Wang, Ye Zhang, Zheng Zhang, Yongbing Zhang |
| 2025 | OTIAS: OcTree Implicit Adaptive Sampling for Multispectral and Hyperspectral Image Fusion. Shangqi Deng, Jun Ma, Liang-Jian Deng, Ping Wei |
| 2025 | OTLRM: Orthogonal Learning-based Low-Rank Metric for Multi-Dimensional Inverse Problems. Xiangming Wang, Haijin Zeng, Jiaoyang Chen, Sheng Liu, Yongyong Chen, Guoqing Chao |
| 2025 | OTPNet: ODE-inspired Tuning-free Proximal Network for Remote Sensing Image Fusion. Wei Yu, Zonglin Li, Qinglin Liu, Xin Sun |
| 2025 | OUS: Bridging Scene Context and Facial Features to Overcome the Rigid Cognitive Problem. Xinji Mai, Haoran Wang, Zeng Tao, Junxiong Lin, Shaoqi Yan, Yan Wang, Jiawen Yu, Xuan Tong, Yating Li, Wenqiang Zhang |
| 2025 | OV-DQUO: Open-Vocabulary DETR with Denoising Text Query Training and Open-World Unknown Objects Supervision. Junjie Wang, Bin Chen, Bin Kang, Yulin Li, Weizhi Xian, Yichi Chen, Yong Xu |
| 2025 | ObjVariantEnsemble: Advancing Point Cloud LLM Evaluation in Challenging Scenes with Subtly Distinguished Objects. Qihang Cao, Huangxun Chen |
| 2025 | Object-level Geometric Structure Preserving for Natural Image Stitching. Wenxiao Cai, Wankou Yang |
| 2025 | Occlusion-Embedded Hybrid Transformer for Light Field Super-Resolution. Zeyu Xiao, Zhuoyuan Li, Wei Jia |
| 2025 | Occlusion-Insensitive Talking Head Video Generation via Facelet Compensation. Yuhui Deng, Yuqin Lu, Yangyang Xu, Yongwei Nie, Shengfeng He |
| 2025 | Offline Multi-Agent Reinforcement Learning via In-Sample Sequential Policy Optimization. Zongkai Liu, Qian Lin, Chao Yu, Xiawei Wu, Yile Liang, Donghui Li, Xuetao Ding |
| 2025 | Offline Safe Reinforcement Learning Using Trajectory Classification. Ze Gong, Akshat Kumar, Pradeep Varakantham |
| 2025 | Offline-to-Online Hyperparameter Transfer for Stochastic Bandits. Dravyansh Sharma, Arun Suggala |
| 2025 | Omni-Query Active Learning for Source-Free Domain Adaptive Cross-Modality 3D Semantic Segmentation. Jianxiang Xie, Yao Wu, Yachao Zhang, Zhongchao Shi, Jianping Fan, Yuan Xie, Yanyun Qu |
| 2025 | OmniCount: Multi-label Object Counting with Semantic-Geometric Priors. Anindya Mondal, Sauradip Nag, Xiatian Zhu, Anjan Dutta |
| 2025 | OmniMark: Efficient and Scalable Latent Diffusion Model Fingerprinting. Jianwei Fei, Yunshu Dai, Zhihua Xia, Fangjun Huang, Jiantao Zhou |
| 2025 | OmniSR: Shadow Removal Under Direct and Indirect Lighting. Jiamin Xu, Zelong Li, Yuxin Zheng, Chenyu Huang, Renshu Gu, Weiwei Xu, Gang Xu |
| 2025 | On Action Theories with Iterable First-Order Progression. Daxin Liu, Jens Claßen |
| 2025 | On Corruption-Robustness in Performative Reinforcement Learning. Vasilis Pollatos, Debmalya Mandal, Goran Radanovic |
| 2025 | On Designing the Optimal Integrated Ad Auction in E-commerce Platforms. Yuchao Ma, Weian Li, Yuhan Wang, Zitian Guo, Yuejia Dou, Qi Qi, Changyuan Yu |
| 2025 | On Effects of Steering Latent Representation for Large Language Model Unlearning. Huu-Tien Dang, Tin Pham, Hoang Thanh-Tung, Naoya Inoue |
| 2025 | On Finding Hubs in High Dimensions with Sampling. Huiwen Dong, Linghan Zeng, Zhiwen Zhao, Francesco Silvestri, Ninh Pham |
| 2025 | On Local Overfitting and Forgetting in Deep Neural Networks. Uri Stern, Tomer Yaacoby, Daphna Weinshall |
| 2025 | On Oversquashing in Graph Neural Networks Through the Lens of Dynamical Systems. Alessio Gravina, Moshe Eliasof, Claudio Gallicchio, Davide Bacciu, Carola-Bibiane Schönlieb |
| 2025 | On Probabilistic Truncation in Privacy-preserving Machine Learning. Lijing Zhou, Bingsheng Zhang, Ziyu Wang, Tianpei Lu, Qingrui Song, Su Zhang, Hongrui Cui, Yu Yu |
| 2025 | On Shallow Planning Under Partial Observability. Randy Lefebvre, Audrey Durand |
| 2025 | On the Asymptotic Optimality of Confidence Interval Based Algorithms for Fixed Confidence MABs. Kushal Kejriwal, Nikhil Karamchandani, Jayakrishnan Nair |
| 2025 | On the Consideration of AI Openness: Can Good Intent Be Abused? Yeeun Kim, Hyunseo Shin, Eunkyung Choi, Hongseok Oh, Hyunjun Kim, Wonseok Hwang |
| 2025 | On the Convergence of Tâtonnement for Linear Fisher Markets. Tianlong Nan, Yuan Gao, Christian Kroer |
| 2025 | On the Distortion of Committee Election with 1-Euclidean Preferences and Few Distance Queries. Dimitris Fotakis, Laurent Gourvès, Panagiotis Patsilinakos |
| 2025 | On the Expressiveness and Length Generalization of Selective State Space Models on Regular Languages. Aleksandar Terzic, Michael Hersche, Giacomo Camposampiero, Thomas Hofmann, Abu Sebastian, Abbas Rahimi |
| 2025 | On the Hardness of Training Deep Neural Networks Discretely. Ilan Doron-Arad |
| 2025 | On the Logic of Theory Base Change: Reformulation of Belief Bases. Eduardo L. Fermé, Andreas Herzig, Maria Vanina Martinez |
| 2025 | On the Modelling of Constraints with Tractable Logical Operators. Ruiwei Wang, Roland H. C. Yap |
| 2025 | On the Power of Convolution-Augmented Transformer. Mingchen Li, Xuechen Zhang, Yixiao Huang, Samet Oymak |
| 2025 | On the Power of Randomization for Obviously Strategy-Proof Mechanisms. Shiri Ron, Daniel Schoepflin |
| 2025 | On the Power of Strategic Corpus Enrichment in Content Creation Games. Haya Nachimovsky, Moshe Tennenholtz |
| 2025 | On the Relationship Between Monotone and Squared Probabilistic Circuits. Benjie Wang, Guy Van den Broeck |
| 2025 | On the Robustness of Distributed Machine Learning Against Transfer Attacks. Sébastien Andreina, Pascal Zimmer, Ghassan Karame |
| 2025 | On the Trainability and Classical Simulability of Learning Matrix Product States Variationally. Afrad Basheer, Yuan Feng, Christopher Ferrie, Sanjiang Li, Hakop Pashayan |
| 2025 | On-Policy Algorithms for Continual Reinforcement Learning (Student Abstract). Tadeusz Dziarmaga, Tomasz Arczewski, Marcin Mazur, Maciej Wolczyk |
| 2025 | OnAIR: Applications of the NASA On-Board Artificial Intelligence Research Platform. Evana Gizzi, Timothy Chase Jr., Christian Cassamajor-Paul, Rachael Chertok, Lily Clough, Connor Firth, Alan Gibson, Ibrahim Haroon, James Marshall, Patrick Maynard, Michael Monaghan, Hayley Owens, Daniel Rogers, Mahmooda Sultana, Jivko Sinapov, Bethany Theiling |
| 2025 | One Node One Model: Featuring the Missing-Half for Graph Clustering. Xuanting Xie, Bingheng Li, Erlin Pan, Zhaochen Guo, Zhao Kang, Wenyu Chen |
| 2025 | One Token Can Help! Learning Scalable and Pluggable Virtual Tokens for Retrieval-Augmented Large Language Models. Yutao Zhu, Zhaoheng Huang, Zhicheng Dou, Ji-Rong Wen |
| 2025 | One for Dozens: Adaptive REcommendation for All Domains with Counterfactual Augmentation. Huishi Luo, Yiwen Chen, Yiqing Wu, Fuzhen Zhuang, Deqing Wang |
| 2025 | One-Shot Reference-based Structure-Aware Image to Sketch Synthesis. Rui Yang, Honghong Yang, Li Zhao, Qin Lei, Mianxiong Dong, Kaoru Ota, Xiaojun Wu |
| 2025 | OneBatchPAM: A Fast and Frugal K-Medoids Algorithm. Antoine de Mathelin, Nicolas Enrique Cecchi, François Deheeger, Mathilde Mougeot, Nicolas Vayatis |
| 2025 | Online Fraud Detection via Test-Time Retrieval-Based Representation Enrichment. Yiran Qiao, Ningtao Wang, Yuncong Gao, Yang Yang, Xing Fu, Weiqiang Wang, Xiang Ao |
| 2025 | Online Guidance Graph Optimization for Lifelong Multi-Agent Path Finding. Hongzhi Zang, Yulun Zhang, He Jiang, Zhe Chen, Daniel Harabor, Peter J. Stuckey, Jiaoyang Li |
| 2025 | Online Learning of Coalition Structures by Selfish Agents. Saar Cohen, Noa Agmon |
| 2025 | Online MDP with Prototypes Information: A Robust Adaptive Approach. Shuo Sun, Meng Qi, Zuo-Jun Max Shen |
| 2025 | Online Nonsubmodular Optimization with Delayed Feedback in the Bandit Setting. Sifan Yang, Yuanyu Wan, Lijun Zhang |
| 2025 | Online Prompt Selection for Program Synthesis. Yixuan Li, Lewis Frampton, Federico Mora, Elizabeth Polgreen |
| 2025 | Online and Streaming Algorithms for Constrained k-Submodular Maximization. Fabian Christian Spaeh, Alina Ene, Huy L. Nguyen |
| 2025 | Open Models, Closed Minds? On Agents Capabilities in Mimicking Human Personalities through Open Large Language Models. Lucio La Cava, Andrea Tagarelli |
| 2025 | Open-Set Cross-Network Node Classification via Unknown-Excluded Adversarial Graph Domain Alignment. Xiao Shen, Zhihao Chen, Shirui Pan, Shuang Zhou, Laurence T. Yang, Xi Zhou |
| 2025 | Open-Set Heterogeneous Domain Adaptation: Theoretical Analysis and Algorithm. Thai-Hoang Pham, Yuanlong Wang, Changchang Yin, Xueru Zhang, Ping Zhang |
| 2025 | Open-World Multimodal Understanding and Generation with Efficiently Finetuned Foundation Models. Long Chen |
| 2025 | Open-world Radio Frequency Fingerprint Identification via Augmented Semi-supervised Learning. Zehua Han, Jing Xiao, Qirui Zhao, Zhexuan Cui, Yufeng Wang, Duona Zhang, Wenrui Ding |
| 2025 | OpenVIS: Open-vocabulary Video Instance Segmentation. Pinxue Guo, Hao Huang, Peiyang He, Xuefeng Liu, Tianjun Xiao, Wenqiang Zhang |
| 2025 | OpenViewer: Openness-Aware Multi-View Learning. Shide Du, Zihan Fang, Yanchao Tan, Changwei Wang, Shiping Wang, Wenzhong Guo |
| 2025 | Operationalising Rawlsian Ethics for Fairness in Norm Learning Agents. Jessica Woodgate, Paul Marshall, Nirav Ajmeri |
| 2025 | Optimal Auction Design for Mixed Bidders. Xiaohui Bei, Pinyan Lu, Zhiqi Wang, Tao Xiao, Xiang Yan |
| 2025 | Optimal Bounds for Dissatisfaction in Perpetual Voting. Alexander Kozachinskiy, Alexander Shen, Tomasz Steifer |
| 2025 | Optimal Classification Trees for Continuous Feature Data Using Dynamic Programming with Branch-and-Bound. Catalin E. Brita, Jacobus G. M. van der Linden, Emir Demirovic |
| 2025 | Optimal Control Operator Perspective and a Neural Adaptive Spectral Method. Mingquan Feng, Zhijie Chen, Yixin Huang, Yizhou Liu, Junchi Yan |
| 2025 | Optimal Viewpoint Selection for Autonomous Photography Using Reinforcement Learning. Anna Serbina |
| 2025 | Optimal and Efficient Binary Questioning for Accelerated Annotation. Franco Marchesoni-Acland, Jean-Michel Morel, Josselin Kherroubi, Gabriele Facciolo |
| 2025 | Optimally Solving Simultaneous-Move Dec-POMDPs: The Sequential Central Planning Approach. Johan Peralez, Aurélien Delage, Jacopo Castellini, Rafael F. Cunha, Jilles Steeve Dibangoye |
| 2025 | Optimising Spatial Teamwork Under Uncertainty. Gregory Everett, Ryan J. Beal, Tim Matthews, Timothy J. Norman, Sarvapali D. Ramchurn |
| 2025 | Optimize Incompatible Parameters Through Compatibility-aware Knowledge Integration. Zheqi Lv, Keming Ye, Zishu Wei, Qi Tian, Shengyu Zhang, Wenqiao Zhang, Wenjie Wang, Kun Kuang, Tat-Seng Chua, Fei Wu |
| 2025 | Optimized Gradient Clipping for Noisy Label Learning. Xichen Ye, Yifan Wu, Weizhong Zhang, Xiaoqiang Li, Yifan Chen, Cheng Jin |
| 2025 | Optimized Random Features for the Neural Tangent Kernel (Student Abstract). Shrutimoy Das, Binita Maity |
| 2025 | Optimizing Gene-Based Testing for Antibiotic Resistance Prediction. David Hagerman, Anna Johnning, Roman Naeem, Fredrik Kahl, Erik Kristiansson, Lennart Svensson |
| 2025 | Optimizing Heat Alert Issuance with Reinforcement Learning. Ellen M. Considine, Rachel C. Nethery, Gregory A. Wellenius, Francesca Dominici, Mauricio Tec |
| 2025 | Optimizing Human Pose Estimation Through Focused Human and Joint Regions. Yingying Jiao, Zhigang Wang, Zhenguang Liu, Shaojing Fan, Sifan Wu, Zheqi Wu, Zhuoyue Xu |
| 2025 | Optimizing Label Assignment for Weakly Supervised Person Search. Haiyang Zhu, Xi Yang, Nannan Wang |
| 2025 | Optimizing Quantized Diffusion Models via Distillation with Cross-Timestep Error Correction. Yanxi Li, Chengbin Du |
| 2025 | Optimizing Vital Sign Monitoring in Resource-Constrained Maternal Care: An RL-Based Restless Bandit Approach. Niclas Boehmer, Yunfan Zhao, Guojun Xiong, Paula Rodriguez Diaz, Paola Del Cueto Cibrian, Joseph Ngonzi, Adeline Boatin, Milind Tambe |
| 2025 | Orchestrating the Symphony of Prompt Distribution Learning for Human-Object Interaction Detection. Mingda Jia, Liming Zhao, Ge Li, Yun Zheng |
| 2025 | Orpheus: Engineering Multiagent Systems via Communicating Agents. Matteo Baldoni, Samuel H. Christie V., Munindar P. Singh, Amit K. Chopra |
| 2025 | Ouroboros-Diffusion: Exploring Consistent Content Generation in Tuning-free Long Video Diffusion. Jingyuan Chen, Fuchen Long, Jie An, Zhaofan Qiu, Ting Yao, Jiebo Luo, Tao Mei |
| 2025 | Out of Length Text Recognition with Sub-String Matching. Yongkun Du, Zhineng Chen, Caiyan Jia, Xieping Gao, Yu-Gang Jiang |
| 2025 | Out-of-Distribution Detection with Prototypical Outlier Proxy. Mingrong Gong, Chaoqi Chen, Qingqiang Sun, Yue Wang, Hui Huang |
| 2025 | Out-of-Distribution Generalization on Graphs via Progressive Inference. Yiming Xu, Bin Shi, Zhen Peng, Huixiang Liu, Bo Dong, Chen Chen |
| 2025 | Overcoming Heterogeneous Data in Federated Medical Vision-Language Pre-training: A Triple-Embedding Model Selector Approach. Aowen Wang, Zhiwang Zhang, Dongang Wang, Fanyi Wang, Haotian Hu, Jinyang Guo, Yipeng Zhou, Chaoyi Pang, Shiting Wen |
| 2025 | PA3Fed: Period-Aware Adaptive Aggregation for Improved Federated Learning. Chengxiang Huang, Bingyan Liu |
| 2025 | PALM: Pushing Adaptive Learning Rate Mechanisms for Continual Test-Time Adaptation. Sarthak Kumar Maharana, Baoming Zhang, Yunhui Guo |
| 2025 | PAT: Pruning-Aware Tuning for Large Language Models. Yijiang Liu, Huanrui Yang, Youxin Chen, Rongyu Zhang, Miao Wang, Yuan Du, Li Du |
| 2025 | PBECount: Prompt-Before-Extract Paradigm for Class-Agnostic Counting. Canchen Yang, Tianyu Geng, Jian Peng, Chun Xu |
| 2025 | PC-BEV: An Efficient Polar-Cartesian BEV Fusion Framework for LiDAR Semantic Segmentation. Shoumeng Qiu, Xinrun Li, Xiangyang Xue, Jian Pu |
| 2025 | PCM Selector: Penalized Covariate-Mediator Selection Operator for Evaluating Linear Causal Effects. Hisayoshi Nanmo, Manabu Kuroki |
| 2025 | PDBs Go Numeric: Pattern-Database Heuristics for Simple Numeric Planning. Daniel Gnad, Lee-or Alon, Eyal Weiss, Alexander Shleyfman |
| 2025 | PDDM: Pseudo Depth Diffusion Model for RGB-PD Semantic Segmentation Based in Complex Indoor Scenes. Xinhua Xu, Hong Liu, Jianbing Wu, Jinfu Liu |
| 2025 | PEARL: Input-Agnostic Prompt Enhancement with Negative Feedback Regulation for Class-Incremental Learning. Yongchun Qin, Pengfei Fang, Hui Xue |
| 2025 | PEIE: Physics Embedded Illumination Estimation for Adaptive Dehazing. Huaizhuo Liu, Hai-Miao Hu, Yonglong Jiang, Yurui Liu |
| 2025 | PFedCS: A Personalized Federated Learning Method for Enhancing Collaboration among Similar Classifiers. Siyuan Wu, Yongzhe Jia, Bowen Liu, Haolong Xiang, Xiaolong Xu, Wanchun Dou |
| 2025 | PHR-DIFF: Portrait Highlights Removal via Patch-aware Diffusion Model. Hongsheng Zheng, Zhongyun Bao, Gang Fu, Xuze Jiao, Chunxia Xiao |
| 2025 | PIXELS: Progressive Image Xemplar-based Editing with Latent Surgery. Shristi Das Biswas, Matthew Shreve, Xuelu Li, Prateek Singhal, Kaushik Roy |
| 2025 | PLATYPUS: Progressive Local Surface Estimator for Arbitrary-Scale Point Cloud Upsampling. Donghyun Kim, Hyeonkyeong Kwon, Yumin Kim, Seong Jae Hwang |
| 2025 | PNVC: Towards Practical INR-based Video Compression. Ge Gao, Ho Man Kwan, Fan Zhang, David Bull |
| 2025 | POI Recommendation via Multi-Objective Adversarial Imitation Learning. Zhenglin Wan, Anjun Gao, Xingrui Yu, Pingfu Chao, Jun Song, Maohao Ran |
| 2025 | POI-Enhancer: An LLM-based Semantic Enhancement Framework for POI Representation Learning. Jiawei Cheng, Jingyuan Wang, Yichuan Zhang, Jiahao Ji, Yuanshao Zhu, Zhibo Zhang, Xiangyu Zhao |
| 2025 | POPoS: Improving Efficient and Robust Facial Landmark Detection with Parallel Optimal Position Search. Chong-Yang Xiang, Jun-Yan He, Zhi-Qi Cheng, Xiao Wu, Xian-Sheng Hua |
| 2025 | PRAGA: Prototype-aware Graph Adaptive Aggregation for Spatial Multi-modal Omics Analysis. Xinlei Huang, Zhiqi Ma, Dian Meng, Yanran Liu, Shiwei Ruan, Qingqiang Sun, Xubin Zheng, Ziyue Qiao |
| 2025 | PRIORITY2REWARD: Incorporating Healthworker Preferences for Resource Allocation Planning. Shresth Verma, Alayna Nguyen, Niclas Boehmer, Lingkai Kong, Milind Tambe |
| 2025 | PROSAC: Provably Safe Certification for Machine Learning Models under Adversarial Attacks. Chen Feng, Ziquan Liu, Zhuo Zhi, Ilija Bogunovic, Carsten Gerner-Beuerle, Miguel Rodrigues |
| 2025 | PSMGD: Periodic Stochastic Multi-Gradient Descent for Fast Multi-Objective Optimization. Mingjing Xu, Peizhong Ju, Jia Liu, Haibo Yang |
| 2025 | PSReg: Prior-guided Sparse Mixture of Experts for Point Cloud Registration. Xiaoshui Huang, Zhou Huang, Yifan Zuo, Yongshun Gong, Chengdong Zhang, Deyang Liu, Yuming Fang |
| 2025 | PScalpel: A Machine Learning-based Guider for Protein Phase-Separating Behaviour Alteration. Jia Wang, Liyan Zhu, Zhe Wang, Chenqiu Zhang, Yaoxing Wu, Jun Cui, Jianqiang Li |
| 2025 | PUBLICSPEAK: Hearing the Public with a Probabilistic Framework. Tianliang Xu, Eva Maxfield Brown, Dustin Dwyer, Sabina Tomkins |
| 2025 | PVTree: Realistic and Controllable Palm Vein Generation for Recognition Tasks. Sheng Shang, Chenglong Zhao, Ruixin Zhang, Jianlong Jin, Jingyun Zhang, Rizen Guo, Shouhong Ding, Yunsheng Wu, Yang Zhao, Wei Jia |
| 2025 | Paid with Models: Optimal Contract Design for Collaborative Machine Learning. Bingchen Wang, Zhaoxuan Wu, Fusheng Liu, Bryan Kian Hsiang Low |
| 2025 | Pamba: Enhancing Global Interaction in Point Clouds via State Space Model. Zhuoyuan Li, Yubo Ai, Jiahao Lu, Chuxin Wang, Jiacheng Deng, Hanzhi Chang, Yanzhe Liang, Wenfei Yang, Shifeng Zhang, Tianzhu Zhang |
| 2025 | PanAdapter: Two-Stage Fine-Tuning with Spatial-Spectral Priors Injecting for Pansharpening. RuoCheng Wu, Zien Zhang, Shangqi Deng, Yule Duan, Liang-Jian Deng |
| 2025 | Pancreatic Cancer Diagnosis System. Zijian Zhang |
| 2025 | PanoDiT: Panoramic Videos Generation with Diffusion Transformer. Muyang Zhang, Yuzhi Chen, Rongtao Xu, Changwei Wang, Jinming Yang, Weiliang Meng, Jianwei Guo, Huihuang Zhao, Xiaopeng Zhang |
| 2025 | ParGo: Bridging Vision-Language with Partial and Global Views. An-Lan Wang, Bin Shan, Wei Shi, Kun-Yu Lin, Xiang Fei, Guozhi Tang, Lei Liao, Jingqun Tang, Can Huang, Wei-Shi Zheng |
| 2025 | ParZC: Parametric Zero-Cost Proxies for Efficient NAS. Peijie Dong, Lujun Li, Zhenheng Tang, Xiang Liu, Zimian Wei, Qiang Wang, Xiaowen Chu |
| 2025 | Parallel Greedy Best-First Search with a Bound on Expansions Relative to Sequential Search. Takumi Shimoda, Alex Fukunaga |
| 2025 | Parallel-Learning of Invariant and Tempo-variant Attributes of Single-Lead Cardiac Signals: PLITA. Adrian Atienza, Jakob E. Bardram, Sadasivan Puthusserypady |
| 2025 | Parameterized Complexity of Caching in Networks. Robert Ganian, Fionn Mc Inerney, Dimitra Tsigkari |
| 2025 | Parametric ρ-Norm Scaling Calibration. Siyuan Zhang, Linbo Xie |
| 2025 | Pareto Continual Learning: Preference-Conditioned Learning and Adaption for Dynamic Stability-Plasticity Trade-off. Song Lai, Zhe Zhao, Fei Zhu, Xi Lin, Qingfu Zhang, Gaofeng Meng |
| 2025 | Pareto Set Learning for Multi-Objective Reinforcement Learning. Erlong Liu, Yu-Chang Wu, Xiaobin Huang, Chengrui Gao, Ren-Jian Wang, Ke Xue, Chao Qian |
| 2025 | ParseCaps: An Interpretable Parsing Capsule Network for Medical Image Diagnosis. Xinyu Geng, Jiaming Wang, Xiaolin Huang, Fanglin Chen, Jun Xu |
| 2025 | Partial Identifiability in Inverse Reinforcement Learning for Agents with Non-Exponential Discounting. Joar Max Viktor Skalse, Alessandro Abate |
| 2025 | Partial Label Causal Representation Learning for Instance-Dependent Supervision and Domain Generalization. Yizhi Wang, Weijia Zhang, Min-Ling Zhang |
| 2025 | Partial Point Cloud Registration with Multi-view 2D Image Learning. Yue Zhang, Yue Wu, Wenping Ma, Maoguo Gong, Hao Li, Biao Hou |
| 2025 | Partially Blinded Unlearning: Class Unlearning for Deep Networks from Bayesian Perspective. Subhodip Panda, Shashwat Sourav, Prathosh A. P. |
| 2025 | Patch-level Sounding Object Tracking for Audio-Visual Question Answering. Zhangbin Li, Jinxing Zhou, Jing Zhang, Shengeng Tang, Kun Li, Dan Guo |
| 2025 | PatentLMM: Large Multimodal Model for Generating Descriptions for Patent Figures. Shreya Shukla, Nakul Sharma, Manish Gupta, Anand Mishra |
| 2025 | Path-Adaptive Matting for Efficient Inference Under Various Computational Cost Constraints. Qinglin Liu, Zonglin Li, Xiaoqian Lv, Xin Sun, Ru Li, Shengping Zhang |
| 2025 | Pedestrian Attribute Recognition: A New Benchmark Dataset and a Large Language Model Augmented Framework. Jiandong Jin, Xiao Wang, Qian Zhu, Haiyang Wang, Chenglong Li |
| 2025 | PerReactor: Offline Personalised Multiple Appropriate Facial Reaction Generation. Hengde Zhu, Xiangyu Kong, Weicheng Xie, Xin Huang, Xilin He, Lu Liu, Linlin Shen, Wei Zhang, Hatice Gunes, Siyang Song |
| 2025 | Perception-Guided Jailbreak Against Text-to-Image Models. Yihao Huang, Le Liang, Tianlin Li, Xiaojun Jia, Run Wang, Weikai Miao, Geguang Pu, Yang Liu |
| 2025 | PersonaMagic: Stage-Regulated High-Fidelity Face Customization with Tandem Equilibrium. Xinzhe Li, Jiahui Zhan, Shengfeng He, Yangyang Xu, Junyu Dong, Huaidong Zhang, Yong Du |
| 2025 | Personalized Clustering via Targeted Representation Learning. Xiwen Geng, Suyun Zhao, Yixin Yu, Borui Peng, Pan Du, Hong Chen, Cuiping Li, Mengdie Wang |
| 2025 | Personalized Dynamic Music Emotion Recognition with Dual-Scale Attention-Based Meta-Learning. Dengming Zhang, Weitao You, Ziheng Liu, Lingyun Sun, Pei Chen |
| 2025 | Personalized Federated Collaborative Filtering: A Variational AutoEncoder Approach. Zhiwei Li, Guodong Long, Tianyi Zhou, Jing Jiang, Chengqi Zhang |
| 2025 | Personalized Federated Learning for Spatio-Temporal Forecasting: A Dual Semantic Alignment-Based Contrastive Approach. Qingxiang Liu, Sheng Sun, Yuxuan Liang, Min Liu, Jingjing Xue |
| 2025 | Personalized Label Inference Attack in Federated Transfer Learning via Contrastive Meta Learning. Hanyu Zhao, Zijie Pan, Yajie Wang, Zuobin Ying, Lei Xu, Yu-an Tan |
| 2025 | Personalized Learning in Action: Exploring AI and Robotics for Early Childhood Education. Nicholas Abram |
| 2025 | Personalized Lip Reading: Adapting to Your Unique Lip Movements with Vision and Language. Jeong Hun Yeo, Chae Won Kim, Hyunjun Kim, Hyeongseop Rha, Seunghee Han, Wen-Huang Cheng, Yong Man Ro |
| 2025 | Personalized Sleep Staging Leveraging Source-free Unsupervised Domain Adaptation. Yangxuan Zhou, Sha Zhao, Jiquan Wang, Haiteng Jiang, Shijian Li, Benyan Luo, Tao Li, Gang Pan |
| 2025 | PersonalizedUS: Interpretable Breast Cancer Risk Assessment with Local Coverage Uncertainty Quantification. Alek Fröhlich, Thiago R. Ramos, Gustavo Motta Cabello Dos Santos, Isabela Panzeri Carlotti Buzatto, Rafael Izbicki, Daniel Guimarães Tiezzi |
| 2025 | Persuasion for Social Good: How to Build and Break AI. Weiyan Shi |
| 2025 | Perturbating, Tuning, and Collaborating: Harnessing Vision Foundation Models for Single Domain Generalization on Medical Imaging. Chuang Liu, Yichao Cao, Yingying Zhang, Xiu Su, Haogang Zhu |
| 2025 | PhishAgent: A Robust Multimodal Agent for Phishing Webpage Detection. Tri Cao, Chengyu Huang, Yuexin Li, Huilin Wang, Amy He, Nay Oo, Bryan Hooi |
| 2025 | Phoneme-Level Feature Discrepancies: A Key to Detecting Sophisticated Speech Deepfakes. Kuiyuan Zhang, Zhongyun Hua, Rushi Lan, Yushu Zhang, Yifang Guo |
| 2025 | PhyCamo: A Robust Physical Camouflage via Contrastive Learning for Multi-View Physical Adversarial Attack. Ximin Zhang, Jinyin Chen, Haibin Zheng, Zhenguang Liu |
| 2025 | PhysAug: A Physical-guided and Frequency-based Data Augmentation for Single-Domain Generalized Object Detection. Xiaoran Xu, Jiangang Yang, Wenhui Shi, Siyuan Ding, Luqing Luo, Jian Liu |
| 2025 | PhysDiff: Physiology-based Dynamicity Disentangled Diffusion Model for Remote Physiological Measurement. Wei Qian, Gaoji Su, Dan Guo, Jinxing Zhou, Xiaobai Li, Bin Hu, Shengeng Tang, Meng Wang |
| 2025 | Physical Marker: Revealing Invisible Hyperlinks Hidden in Printed Trademarks. Yuliang Xue, Lei Tan, Guobiao Li, Zhenxing Qian, Sheng Li, Xinpeng Zhang |
| 2025 | Physical-aware Neural Radiance Fields for Efficient Exposure Correction. Kai Xu, Mingwen Shao, Yuanjian Qiao, Yan Wang |
| 2025 | Physics-Guided Fair Graph Sampling for Water Temperature Prediction in River Networks. Erhu He, Declan Kutscher, Yiqun Xie, Jacob Zwart, Zhe Jiang, Huaxiu Yao, Xiaowei Jia |
| 2025 | Physics-Guided Foundation Model for Scientific Discovery: An Application to Aquatic Science. Runlong Yu, Chonghao Qiu, Robert Ladwig, Paul C. Hanson, Yiqun Xie, Xiaowei Jia |
| 2025 | Pic2Prep: A Multimodal Conversational Agent for Cooking Assistance. Renjith Prasad Kaippilly Mana, Chathurangi Shyalika, Revathy Venkataramanan, Darssan Eswaramoorthi, Amit P. Sheth |
| 2025 | Pilot: Building the Federated Multimodal Instruction Tuning Framework. Baochen Xiong, Xiaoshan Yang, Yaguang Song, Yaowei Wang, Changsheng Xu |
| 2025 | Pinwheel-shaped Convolution and Scale-based Dynamic Loss for Infrared Small Target Detection. Jiangnan Yang, Shuangli Liu, Jingjun Wu, Xinyu Su, Nan Hai, Xueli Huang |
| 2025 | Pioneer: Physics-informed Riemannian Graph ODE for Entropy-increasing Dynamics. Li Sun, Ziheng Zhang, Zixi Wang, Yujie Wang, Qiqi Wan, Hao Li, Hao Peng, Philip S. Yu |
| 2025 | Pioneering Explainable Video Fact-Checking with a New Dataset and Multi-role Multimodal Model Approach. Kaipeng Niu, Danni Xu, Bingjian Yang, Wenxuan Liu, Zheng Wang |
| 2025 | Pixel Is Not a Barrier: An Effective Evasion Attack for Pixel-Domain Diffusion Models. Chun-Yen Shih, Li-Xuan Peng, Jia-Wei Liao, Ernie Chu, Cheng-Fu Chou, Jun-Cheng Chen |
| 2025 | PixelMan: Consistent Object Editing with Diffusion Models via Pixel Manipulation and Generation. Liyao Jiang, Negar Hassanpour, Mohammad Salameh, Mohammadreza Samadi, Jiao He, Fengyu Sun, Di Niu |
| 2025 | PlaNet: Learning to Mitigate Atmospheric Turbulence in Planetary Images. Yifei Xia, Chu Zhou, Chengxuan Zhu, Chao Xu, Boxin Shi |
| 2025 | PlanLLM: Video Procedure Planning with Refinable Large Language Models. Dejie Yang, Zijing Zhao, Yang Liu |
| 2025 | Planning from Imagination: Episodic Simulation and Episodic Memory for Vision-and-Language Navigation. Yiyuan Pan, Yunzhe Xu, Zhe Liu, Hesheng Wang |
| 2025 | Planning in the Dark: LLM-Symbolic Planning Pipeline Without Experts. Sukai Huang, Nir Lipovetzky, Trevor Cohn |
| 2025 | Plug-and-Play Tri-Branch Invertible Block for Image Rescaling. Jingwei Bao, Jinhua Hao, Pengcheng Xu, Ming Sun, Chao Zhou, Shuyuan Zhu |
| 2025 | Point Cloud Mamba: Point Cloud Learning via State Space Model. Tao Zhang, Haobo Yuan, Lu Qi, Jiangning Zhang, Qianyu Zhou, Shunping Ji, Shuicheng Yan, Xiangtai Li |
| 2025 | Point Cloud Semantic Segmentation with Sparse and Inhomogeneous Annotations. Zhiyi Pan, Nan Zhang, Wei Gao, Shan Liu, Ge Li |
| 2025 | PointCFormer: A Relation-Based Progressive Feature Extraction Network for Point Cloud Completion. Yi Zhong, Weize Quan, Dong-Ming Yan, Jie Jiang, Yingmei Wei |
| 2025 | PointDGMamba: Domain Generalization of Point Cloud Classification via Generalized State Space Model. Hao Yang, Qianyu Zhou, Haijia Sun, Xiangtai Li, Fengqi Liu, Xuequan Lu, Lizhuang Ma, Shuicheng Yan |
| 2025 | PointRWKV: Efficient RWKV-Like Model for Hierarchical Point Cloud Learning. Qingdong He, Jiangning Zhang, Jinlong Peng, Haoyang He, Xiangtai Li, Yabiao Wang, Chengjie Wang |
| 2025 | PointTalk: Audio-Driven Dynamic Lip Point Cloud for 3D Gaussian-based Talking Head Synthesis. Yifan Xie, Tao Feng, Xin Zhang, Xiangyang Luo, Zixuan Guo, Weijiang Yu, Heng Chang, Fei Ma, Fei Richard Yu |
| 2025 | PokerBench: Training Large Language Models to Become Professional Poker Players. Richard Zhuang, Akshat Gupta, Richard Yang, Aniket Rahane, Zhengyu Li, Gopala Anumanchipalli |
| 2025 | Polarization Guided Mask-Free Shadow Removal. Chu Zhou, Chao Xu, Boxin Shi |
| 2025 | Political Actor Agent: Simulating Legislative System for Roll Call Votes Prediction with Large Language Models. Hao Li, Ruoyuan Gong, Hao Jiang |
| 2025 | Political Bias Prediction Models Focus on Source Cues, Not Semantics. Selin Chun, Daejin Choi, Ted Taekyoung Kwon |
| 2025 | Poplar: Efficient Scaling of Distributed DNN Training on Heterogeneous GPU Clusters. Wenzheng Zhang, Yang Hu, Jing Shi, Xiaoying Bai |
| 2025 | Population Aware Diffusion for Time Series Generation. Yang Li, Han Meng, Zhenyu Bi, Ingolv T. Urnes, Haipeng Chen |
| 2025 | Portcullis: A Scalable and Verifiable Privacy Gateway for Third-Party LLM Inference. Jiangou Zhan, Wenhui Zhang, Zheng Zhang, Huanran Xue, Yao Zhang, Ye Wu |
| 2025 | Pose Magic: Efficient and Temporally Consistent Human Pose Estimation with a Hybrid Mamba-GCN Network. Xinyi Zhang, Qiqi Bao, Qinpeng Cui, Wenming Yang, Qingmin Liao |
| 2025 | Pose as a Modality: A Psychology-Inspired Network for Personality Recognition with a New Multimodal Dataset. Bin Tang, Keqi Pan, Miao Zheng, Ning Zhou, Jialu Sui, Dandan Zhu, Cheng-Long Deng, Shu-Guang Kuai |
| 2025 | PoseLLaVA: Pose Centric Multimodal LLM for Fine-Grained 3D Pose Manipulation. Dong Feng, Ping Guo, Encheng Peng, Mingmin Zhu, Wenhao Yu, Peng Wang |
| 2025 | PoseMamba: Monocular 3D Human Pose Estimation with Bidirectional Global-Local Spatio-Temporal State Space Model. Yunlong Huang, Junshuo Liu, Ke Xian, Robert Caiming Qiu |
| 2025 | Position-Aware Guided Point Cloud Completion with CLIP Model. Feng Zhou, Qi Zhang, Ju Dai, Lei Li, Qing Fan, Junliang Xing |
| 2025 | Power of Diversity: Enhancing Data-Free Black-Box Attack with Domain-Augmented Learning. Yang Wei, Jingyu Tan, Guowen Xu, Zhuoran Ma, Zhuo Ma, Bin Xiao |
| 2025 | PowerMLP: An Efficient Version of KAN. Ruichen Qiu, Yibo Miao, Shiwen Wang, Yifan Zhu, Lijia Yu, Xiao-Shan Gao |
| 2025 | Practicable Black-Box Evasion Attacks on Link Prediction in Dynamic Graphs - a Graph Sequential Embedding Method. Jiate Li, Meng Pang, Binghui Wang |
| 2025 | Practical Offloading for Fine-Tuning LLM on Commodity GPU via Learned Sparse Projectors. Siyuan Chen, Zhuofeng Wang, Zelong Guan, Yudong Liu, Phillip B. Gibbons |
| 2025 | Pragmatist: Multiview Conditional Diffusion Models for High-Fidelity 3D Reconstruction from Unposed Sparse Views. Songchun Zhang, Chunhui Zhao |
| 2025 | Pre-Assignment Problem for Unique Minimum Vertex Cover on Bounded Clique-Width Graphs. Shinwoo An, Yeonsu Chang, Kyungjin Cho, O-joung Kwon, Myounghwan Lee, Eunjin Oh, Hyeonjun Shin |
| 2025 | Pre-Trained Vision-Language Models as Noisy Partial Annotators. Qian-Wei Wang, Yuqiu Xie, Letian Zhang, Zimo Liu, Shu-Tao Xia |
| 2025 | Pre-Training Graph Neural Networks on Molecules by Using Subgraph-Conditioned Graph Information Bottleneck. Van Thuy Hoang, O-Joun Lee |
| 2025 | Pre-trained Behavioral Model for Malicious User Prediction on Social Platform. Meng Jiang, Wenjie Wang, Shaofeng Hu, Kaishen Ou, Zhenjing Zheng, Fuli Feng |
| 2025 | Pre-training a Density-Aware Pose Transformer for Robust LiDAR-based 3D Human Pose Estimation. Xiaoqi An, Lin Zhao, Chen Gong, Jun Li, Jian Yang |
| 2025 | PrecipDiff: Leveraging Image Diffusion Models to Enhance Satellite-Based Precipitation Observations. Ting-Yu Dai, Hayato Ushijima-Mwesigwa |
| 2025 | Precision-Enhanced Human-Object Contact Detection via Depth-Aware Perspective Interaction and Object Texture Restoration. Yuxiao Wang, Wenpeng Neng, Zhenao Wei, Yu Lei, Weiying Xue, Nan Zhuang, Yanwu Xu, Xinyu Jiang, Qi Liu |
| 2025 | Predicting User Behavior in Smart Spaces with LLM-Enhanced Logs and Personalized Prompts. Yunpeng Song, Jiawei Li, Yiheng Bian, Zhongmin Cai |
| 2025 | Predicting the Original Appearance of Damaged Historical Documents. Zhenhua Yang, Dezhi Peng, Yongxin Shi, Yuyi Zhang, Chongyu Liu, Lianwen Jin |
| 2025 | Prediction-Based Adaptive Variable Ordering Heuristics for Constraint Satisfaction Problems. Jitao Xu, Yaling Wu, Hongbo Li, Minghao Yin |
| 2025 | Prediction-Feedback DETR for Temporal Action Detection. Jihwan Kim, Miso Lee, Cheol-Ho Cho, Jihyun Lee, Jae-Pil Heo |
| 2025 | Predictive Modeling of Homeless Service Assignment: A Representation Learning Approach. Khandker Sadia Rahman, Charalampos Chelmis |
| 2025 | Preference-Oriented Supervised Fine-Tuning: Favoring Target Model over Aligned Large Language Models. Yuchen Fan, Yuzhong Hong, Qiushi Wang, Junwei Bao, Hongfei Jiang, Yang Song |
| 2025 | Preliminary Evaluation of the Test-Time Training Layers in Recommendation System (Student Abstract). Tianyu Zhan, Zheqi Lv, Shengyu Zhang, Jiwei Li |
| 2025 | PriFold: Biological Priors Improve RNA Secondary Structure Predictions. Chenchen Yang, Hao Wu, Tao Shen, Kai Zou, Siqi Sun |
| 2025 | Prior-Constrained Association Learning for Fine-Grained Generalized Category Discovery. Menglin Wang, Zhun Zhong, Xiaojin Gong |
| 2025 | Prior-guided Hierarchical Harmonization Network for Efficient Image Dehazing. Xiongfei Su, Siyuan Li, Yuning Cui, Miao Cao, Yulun Zhang, Zheng Chen, Zongliang Wu, Zedong Wang, Yuanlong Zhang, Xin Yuan |
| 2025 | PrivDNFIS: Privacy-preserving and Efficient Deep Neuro-Fuzzy Inference System. Hao Ren, Xiao Lan, Rui Tang, Xingshu Chen |
| 2025 | Privacy, Utility and Fairness: Navigating Trade-offs in Differentially Private Machine Learning. Lea Demelius |
| 2025 | Privacy-Preserving Low-Rank Adaptation Against Membership Inference Attacks for Latent Diffusion Models. Zihao Luo, Xilie Xu, Feng Liu, Yun Sing Koh, Di Wang, Jingfeng Zhang |
| 2025 | Privacy-Preserving V2X Collaborative Perception Integrating Unknown Collaborators. Bin Lu, Xinyu Xiao, Changzhou Zhang, Yang Zhou, Zhiyu Xiang, Hangguan Shan, Eryun Liu |
| 2025 | Privacy-and-Utility-Aware Publishing of Schedules. Maike Basmer, Stephan A. Fahrenkrog-Petersen, Ali Kaan Tutak, Arik Senderovich, Matthias Weidlich |
| 2025 | Private Blotto: Viewpoint Competition with Polarized Agents. Kate Donahue, Jon M. Kleinberg |
| 2025 | ProPose: Probabilistic 3D Human Pose Estimation with Instance-Level Distribution and Normalizing Flow. Jumin Han, Jun-hee Kim, Seong-Whan Lee |
| 2025 | Proactive and Reactive Constraint Programming for Stochastic Project Scheduling with Maximal Time-Lags. Kim van den Houten, Léon Planken, Esteban Freydell, David M. J. Tax, Mathijs de Weerdt |
| 2025 | Probabilistic Explanations for Linear Models. Bernardo Subercaseaux, Marcelo Arenas, Kuldeep S. Meel |
| 2025 | Probabilistic Forecasting of Irregularly Sampled Time Series with Missing Values via Conditional Normalizing Flows. Vijaya Krishna Yalavarthi, Randolf Scholz, Stefan Born, Lars Schmidt-Thieme |
| 2025 | Probabilistic Shielding for Safe Reinforcement Learning. Edwin Hamel-De le Court, Francesco Belardinelli, Alexander W. Goodall |
| 2025 | Probabilistic Strategy Logic with Degrees of Observability. Chunyan Mu, Nima Motamed, Natasha Alechina, Brian Logan |
| 2025 | Probability-Density-aware Semi-supervised Learning. Shuyang Liu, Ruiqiu Zheng, Yunhang Shen, Zhou Yu, Ke Li, Xing Sun, Shaohui Lin |
| 2025 | ProcTag: Process Tagging for Assessing the Efficacy of Document Instruction Data. Yufan Shen, Chuwei Luo, Zhaoqing Zhu, Yang Chen, Qi Zheng, Zhi Yu, Jiajun Bu, Cong Yao |
| 2025 | Procedure Knowledge Decoupled Distillation Strategy for Procedure Planning in Instructional Videos. Xiaotian Pan, Zhaobo Qi, Xin Sun, Yuanrong Xu, Weigang Zhang |
| 2025 | Progressive Distribution Matching for Federated Semi-Supervised Learning. Dongping Liao, Xitong Gao, Yabo Xu, Cheng-Zhong Xu |
| 2025 | Progressive Multi-granular Alignments for Grounded Reasoning in Large Vision-Language Models. Quang-Hung Le, Long Hoang Dang, Ngan Hoang Le, Truyen Tran, Thao Minh Le |
| 2025 | Progressive Self-Learning for Domain Adaptation on Symbolic Regression of Integer Sequences. Yaohui Zhu, Kaiming Sun, Zhengdong Luo, Lingfeng Wang |
| 2025 | Promising Multi-Granularity Linguistic Steganography by Jointing Syntactic and Lexical Manipulations. Chengfu Ou, Lingyun Xiang, Yangfan Liu |
| 2025 | Promoting Knowledge Base Question Answering by Directing LLMs to Generate Task-relevant Logical Forms. Jianqi Gao, Jian Cao, Ranran Bu, Nengjun Zhu, Wei Guan, Hang Yu |
| 2025 | Prompt Compression with Context-Aware Sentence Encoding for Fast and Improved LLM Inference. Barys Liskavets, Maxim Ushakov, Shuvendu Roy, Mark Klibanov, Ali Etemad, Shane K. Luke |
| 2025 | Prompt Tuning In a Compact Attribute Space. Shiyu Hou, Tianfei Zhou, Shuai Zhang, Ye Yuan, Guoren Wang |
| 2025 | Prompt-SID: Learning Structural Representation Prompt via Latent Diffusion for Single Image Denoising. Huaqiu Li, Wang Zhang, Xiaowan Hu, Tao Jiang, Zikang Chen, Haoqian Wang |
| 2025 | Prompt-based Unifying Inference Attack on Graph Neural Networks. Yuecen Wei, Xingcheng Fu, Lingyun Liu, Qingyun Sun, Hao Peng, Chunming Hu |
| 2025 | PromptDet: A Lightweight 3D Object Detection Framework with LiDAR Prompts. Kun Guo, Qiang Ling |
| 2025 | PromptHaze: Prompting Real-world Dehazing via Depth Anything Model. Tian Ye, Sixiang Chen, Haoyu Chen, Wenhao Chai, Jingjing Ren, Zhaohu Xing, Wenxue Li, Lei Zhu |
| 2025 | Promptable Anomaly Segmentation with SAM Through Self-Perception Tuning. Hui-Yue Yang, Hui Chen, Ao Wang, Kai Chen, Zijia Lin, Yongliang Tang, Pengcheng Gao, Yuming Quan, Jungong Han, Guiguang Ding |
| 2025 | Promptable Representation Distribution Learning and Data Augmentation for Gigapixel Histopathology WSI Analysis. Kunming Tang, Zhiguo Jiang, Jun Shi, Wei Wang, Haibo Wu, Yushan Zheng |
| 2025 | Proof Simulation via Round-based Strategy Extraction for QBF. Leroy Chew |
| 2025 | Proportional Representation in Practice: Quantifying Proportionality in Ordinal Elections. Tuva Bardal, Markus Brill, David McCune, Jannik Peters |
| 2025 | Proportionally Fair Makespan Approximation. Michal Feldman, Jugal Garg, Vishnu V. Narayan, Tomasz Ponitka |
| 2025 | Proportionally Fair Matching via Randomized Rounding. Sharmila Duppala, Nathaniel Grammel, Juan Luque, Calum MacRury, Aravind Srinivasan |
| 2025 | ProsodyFM: Unsupervised Phrasing and Intonation Control for Intelligible Speech Synthesis. Xiangheng He, Junjie Chen, Zixing Zhang, Björn W. Schuller |
| 2025 | ProsodyTalker: 3D Visual Speech Animation via Prosody Decomposition. Zonglin Li, Xiaoqian Lv, Qinglin Liu, Quanling Meng, Xin Sun, Shengping Zhang |
| 2025 | ProtCLIP: Function-Informed Protein Multi-Modal Learning. Hanjing Zhou, Mingze Yin, Wei Wu, Mingyang Li, Kun Fu, Jintai Chen, Jian Wu, Zheng Wang |
| 2025 | Protecting Model Adaptation from Trojans in the Unlabeled Data. Lijun Sheng, Jian Liang, Ran He, Zilei Wang, Tieniu Tan |
| 2025 | ProtoArgNet: Interpretable Image Classification with Super-Prototypes and Argumentation. Hamed Ayoobi, Nico Potyka, Francesca Toni |
| 2025 | ProtoCar: Learning 3D Vehicle Prototypes from Single-View and Unconstrained Driving Scene Images. Hongyuan Liu, Haochen Yu, Bochao Zou, Juntao Lyu, Qi Mei, Jiansheng Chen, Huimin Ma |
| 2025 | ProtoOcc: Accurate, Efficient 3D Occupancy Prediction Using Dual Branch Encoder-Prototype Query Decoder. Jungho Kim, Changwon Kang, Dongyoung Lee, Sehwan Choi, Jun Won Choi |
| 2025 | Prototype-Guided Multimodal Relation Extraction based on Entity Attributes. Zefan Zhang, Weiqi Zhang, Yanhui Li, Tian Bai |
| 2025 | Prototypical Calibrating Ambiguous Samples for Micro-Action Recognition. Kun Li, Dan Guo, Guoliang Chen, Chunxiao Fan, Jingyuan Xu, Zhiliang Wu, Hehe Fan, Meng Wang |
| 2025 | Prototypical Replay with Old-class Focusing Knowledge Distillation for Incremental Named Entity Recognition. Zesheng Liu, Qiannan Zhu, Cuiping Li, Hong Chen |
| 2025 | Provable Discriminative Hyperspherical Embedding for Out-of-Distribution Detection. Zhipeng Zou, Sheng Wan, Guangyu Li, Bo Han, Tongliang Liu, Lin Zhao, Chen Gong |
| 2025 | Provably Secure Image Robust Steganography via Cross-modal Error Correction. Yuang Qi, Kejiang Chen, Na Zhao, Zijin Yang, Weiming Zhang |
| 2025 | Pruning Large Language Models with Semi-Structural Adaptive Sparse Training. Weiyu Huang, Yuezhou Hu, Guohao Jian, Jun Zhu, Jianfei Chen |
| 2025 | Pseudo Informative Episode Construction for Few-Shot Class-Incremental Learning. Chaofan Chen, Xiaoshan Yang, Changsheng Xu |
| 2025 | Public Opinion Field Effect and Hawkes Process Join Hands for Information Popularity Prediction. Junliang Li, Yajun Yang, Yujia Zhang, Qinghua Hu, Alan Zhao, Hong Gao |
| 2025 | Pushing the Limits of BFP on Narrow Precision LLM Inference. Hui Wang, Yuan Cheng, Xiaomeng Han, Zhengpeng Zhao, Dawei Yang, Zhe Jiang |
| 2025 | Putting People in LLMs' Shoes: Generating Better Answers via Question Rewriter. Junhao Chen, Bowen Wang, Zhouqiang Jiang, Yuta Nakashima |
| 2025 | Q-MAML: Quantum Model-Agnostic Meta-Learning for Variational Quantum Algorithms. Junyong Lee, Jeihee Cho, Shiho Kim |
| 2025 | QAagent: A Multiagent System for Unit Test Generation via Natural Language Pseudocode (Student Abstract). Akhil Deo |
| 2025 | QCS: Feature Refining from Quadruplet Cross Similarity for Facial Expression Recognition. Chengpeng Wang, Li Chen, Lili Wang, Zhaofan Li, Xuebin Lv |
| 2025 | QGen Studio: An Adaptive Question-Answer Generation, Training and Evaluation Platform. Movina Moses, Mohab Elkaref, James Barry, Shinnosuke Tanaka, Vishnudev Kuruvanthodi, Nathan Herr, Campbell D. Watson, Geeth de Mel |
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| 2025 | QORT-Former: Query-optimized Real-time Transformer for Understanding Two Hands Manipulating Objects. Elkhan Ismayilzada, MD Khalequzzaman Chowdhury Sayem, Yihalem Yimolal Tiruneh, Mubarrat Tajoar Chowdhury, Muhammadjon Boboev, Seungryul Baek |
| 2025 | QiMLP: Quantum-inspired Multilayer Perceptron with Strong Correlation Mining and Parameter Compression. Junwei Zhang, Tianheng Wang, Zeyi Zhang, Pengju Yan, Xiaolin Li |
| 2025 | QiMeng-GEMM: Automatically Generating High-Performance Matrix Multiplication Code by Exploiting Large Language Models. Qirui Zhou, Yuanbo Wen, Ruizhi Chen, Ke Gao, Weiqiang Xiong, Ling Li, Qi Guo, Yanjun Wu, Yunji Chen |
| 2025 | Qsco: A Quantum Scoring Module for Open-Set Supervised Anomaly Detection. Yifeng Peng, Xinyi Li, Zhiding Liang, Ying Wang |
| 2025 | QuARF: Quality-Adaptive Receptive Fields for Degraded Image Perception. Fei Gao, Ying Zhou, Ziyun Li, Wenwang Han, Jiaqi Shi, Maoying Qiao, Jinlan Xu, Nannan Wang |
| 2025 | Qua2SeDiMo: Quantifiable Quantization Sensitivity of Diffusion Models. Keith G. Mills, Mohammad Salameh, Ruichen Chen, Negar Hassanpour, Wei Lu, Di Niu |
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| 2025 | Quantitative Predictive Monitoring and Control for Safe Human-Machine Interaction. Shuyang Dong, Meiyi Ma, Josephine Lamp, Sebastian G. Elbaum, Matthew B. Dwyer, Lu Feng |
| 2025 | Quantum Best Arm Identification with Quantum Oracles. Xuchuang Wang, Yu-Zhen Janice Chen, Matheus Guedes de Andrade, Jonathan Allcock, Mohammad Hajiesmaili, John C. S. Lui, Don Towsley |
| 2025 | Quantum-inspired Non-homologous Representation Constraint Mechanism for Long-tail Senses of Word Sense Disambiguation. Junwei Zhang, Xiaolin Li |
| 2025 | Queries, Representation & Detection: The Next 100 Model Fingerprinting Schemes. Augustin Godinot, Erwan Le Merrer, Camilla Penzo, François Taïani, Gilles Trédan |
| 2025 | Query Quantized Neural SLAM. Sijia Jiang, Jing Hua, Zhizhong Han |
| 2025 | Query-centric Audio-Visual Cognition Network for Moment Retrieval, Segmentation and Step-Captioning. Yunbin Tu, Liang Li, Li Su, Qingming Huang |
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| 2025 | Queryable Prototype Multiple Instance Learning with Vision-Language Models for Incremental Whole Slide Image Classification. Jiaxiang Gou, Luping Ji, Pei Liu, Mao Ye |
| 2025 | Question-guided Insights Generation for Automated Exploratory Data Analysis. Abhijit Manatkar, Ashlesha Akella, Krishnasuri Narayanam, Sameep Mehta |
| 2025 | Quickest Detection of Adversarial Attacks Against Correlated Equilibria. Kiarash Kazari, Aris Kanellopoulos, György Dán |
| 2025 | R-DTI: Drug Target Interaction Prediction Based on Second-Order Relevance Exploration. Yang Hua, Tianyang Xu, Xiaoning Song, Zhenhua Feng, Rui Wang, Wenjie Zhang, Xiaojun Wu |
| 2025 | RA-GAR: A Richly Annotated Benchmark for Gait Attribute Recognition. Chenye Wang, Saihui Hou, Aoqi Li, Qingyuan Cai, Yongzhen Huang |
| 2025 | RA-SGG: Retrieval-Augmented Scene Graph Generation Framework via Multi-Prototype Learning. Kanghoon Yoon, Kibum Kim, Jaehyeong Jeon, Yeonjun In, Donghyun Kim, Chanyoung Park |
| 2025 | RAGG: Retrieval-Augmented Grasp Generation Model. Zhenhua Tang, Bin Zhu, Yanbin Hao, Chong-Wah Ngo, Richang Hong |
| 2025 | RAP-SR: RestorAtion Prior Enhancement in Diffusion Models for Realistic Image Super-Resolution. Jiangang Wang, Qingnan Fan, Jinwei Chen, Hong Gu, Feng Huang, Wenqi Ren |
| 2025 | RAT: Adversarial Attacks on Deep Reinforcement Agents for Targeted Behaviors. Fengshuo Bai, Runze Liu, Yali Du, Ying Wen, Yaodong Yang |
| 2025 | RATT: A Thought Structure for Coherent and Correct LLM Reasoning. Jinghan Zhang, Xiting Wang, Weijieying Ren, Lu Jiang, Dongjie Wang, Kunpeng Liu |
| 2025 | RAZOR: Sharpening Knowledge by Cutting Bias with Unsupervised Text Rewriting. Shuo Yang, Bardh Prenkaj, Gjergji Kasneci |
| 2025 | RCTrans: Radar-Camera Transformer via Radar Densifier and Sequential Decoder for 3D Object Detection. Yiheng Li, Yang Yang, Zhen Lei |
| 2025 | RDPI: A Refine Diffusion Probability Generation Method for Spatiotemporal Data Imputation. Zijin Liu, Xiang Zhao, You Song |
| 2025 | REGNav: Room Expert Guided Image-Goal Navigation. Pengna Li, Kangyi Wu, Jingwen Fu, Sanping Zhou |
| 2025 | REM: A Scalable Reinforced Multi-Expert Framework for Multiplex Influence Maximization. Huyen Nguyen, Hieu Dam, Nguyen Hoang Khoi Do, Cong Tran, Cuong Pham |
| 2025 | REPEAT: Improving Uncertainty Estimation in Representation Learning Explainability. Kristoffer K. Wickstrøm, Thea Brüsch, Michael C. Kampffmeyer, Robert Jenssen |
| 2025 | RESQUE: Quantifying Estimator to Task and Distribution Shift for Sustainable Model Reusability. Vishwesh Sangarya, Jung-Eun Kim |
| 2025 | RETQA: A Large-Scale Open-Domain Tabular Question Answering Dataset for Real Estate Sector. Zhensheng Wang, Wenmian Yang, Kun Zhou, Yiquan Zhang, Weijia Jia |
| 2025 | REVECA: Adaptive Planning and Trajectory-Based Validation in Cooperative Language Agents Using Information Relevance and Relative Proximity. Seungwon Seo, SeongRae Noh, Junhyeok Lee, Soobin Lim, Won Hee Lee, Hyeongyeop Kang |
| 2025 | RFL: Simplifying Chemical Structure Recognition with Ring-Free Language. Qikai Chang, Mingjun Chen, Changpeng Pi, Pengfei Hu, Zhenrong Zhang, Jiefeng Ma, Jun Du, Baocai Yin, Jinshui Hu |
| 2025 | RGBT Tracking via All-layer Multimodal Interactions with Progressive Fusion Mamba. Andong Lu, Wanyu Wang, Chenglong Li, Jin Tang, Bin Luo |
| 2025 | RHanDS: Refining Malformed Hands for Generated Images with Decoupled Structure and Style Guidance. Chengrui Wang, Pengfei Liu, Min Zhou, Ming Zeng, Xubin Li, Tiezheng Ge, Bo Zheng |
| 2025 | RI-MAE: Rotation-Invariant Masked AutoEncoders for Self-Supervised Point Cloud Representation Learning. Kunming Su, Qiuxia Wu, Panpan Cai, Xiaogang Zhu, Xuequan Lu, Zhiyong Wang, Kun Hu |
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| 2025 | RLLTE: Long-Term Evolution Project of Reinforcement Learning. Mingqi Yuan, Zequn Zhang, Yang Xu, Shihao Luo, Bo Li, Xin Jin, Wenjun Zeng |
| 2025 | RLPF: Reinforcement Learning from Prediction Feedback for User Summarization with LLMs. Jiaxing Wu, Lin Ning, Luyang Liu, Harrison Lee, Neo Wu, Chao Wang, Sushant Prakash, Shawn O'Banion, Bradley Green, Jun Xie |
| 2025 | RMath: A Logic Reasoning-Focused Datasets Toward Mathematical Multistep Reasoning Tasks. Ziyi Hu, Jun Liu, Zhongzhi Liu, Yuzhong Liu, Zheng Xie, Yiping Song |
| 2025 | RP-PGD: Boosting Segmentation Robustness with a Region-and-Prototype Based Adversarial Attack. Yuxuan Zhang, Zhenbo Shi, Shuchang Wang, Wei Yang, Shaowei Wang, Yinxing Xue |
| 2025 | RRT-MVS: Recurrent Regularization Transformer for Multi-View Stereo. Jianfei Jiang, Liyong Wang, Haochen Yu, Tianyu Hu, Jiansheng Chen, Huimin Ma |
| 2025 | RTP-LX: Can LLMs Evaluate Toxicity in Multilingual Scenarios? Adrian de Wynter, Ishaan Watts, Tua Wongsangaroonsri, Minghui Zhang, Noura Farra, Nektar Ege Altintoprak, Lena Baur, Samantha Claudet, Pavel Gajdusek, Qilong Gu, Anna Kaminska, Tomasz Kaminski, Ruby Kuo, Akiko Kyuba, Jongho Lee, Kartik Mathur, Petter Merok, Ivana Milovanovic, Nani Paananen, Vesa-Matti Paananen, Anna Pavlenko, Bruno Pereira Vidal, Luciano Ivan Strika, Yueh Tsao, Davide Turcato, Oleksandr Vakhno, Judit Velcsov, Anna Vickers, Stéphanie F. Visser, Herdyan Widarmanto, Andrey Zaikin, Si-Qing Chen |
| 2025 | RUNA: Object-Level Out-of-Distribution Detection via Regional Uncertainty Alignment of Multimodal Representations. Bin Zhang, Jinggang Chen, Xiaoyang Qu, Guokuan Li, Kai Lu, Jiguang Wan, Jing Xiao, Jianzong Wang |
| 2025 | R^2-Art: Category-Level Articulation Pose Estimation from Single RGB Image via Cascade Render Strategy. Li Zhang, Haonan Jiang, Yukang Huo, Yan Zhong, Jianan Wang, Xue Wang, Rujing Wang, Liu Liu |
| 2025 | RaCMC: Residual-Aware Compensation Network with Multi-Granularity Constraints for Fake News Detection. Xinquan Yu, Ziqi Sheng, Wei Lu, Xiangyang Luo, Jiantao Zhou |
| 2025 | RaDIO: Real-Time Hallucination Detection with Contextual Index Optimized Query Formulation for Dynamic Retrieval Augmented Generation. Jia Zhu, Hanghui Guo, Weijie Shi, Zhangze Chen, Pasquale De Meo |
| 2025 | Radiology Report Generation via Multi-objective Preference Optimization. Ting Xiao, Lei Shi, Peng Liu, Zhe Wang, Chenjia Bai |
| 2025 | Rapid Learning in Constrained Minimax Games with Negative Momentum. Zijian Fang, Zongkai Liu, Chao Yu, Chaohao Hu |
| 2025 | Rare Event Detection in Imbalanced Multi-Class Datasets Using an Optimal MIP-Based Ensemble Weighting Approach. Georgios Tertytchny, Georgios L. Stavrinides, Maria K. Michael |
| 2025 | Re-Attentional Controllable Video Diffusion Editing. Yuanzhi Wang, Yong Li, Mengyi Liu, Xiaoya Zhang, Xin Liu, Zhen Cui, Antoni B. Chan |
| 2025 | Re2LLM: Reflective Reinforcement Large Language Model for Session-based Recommendation. Ziyan Wang, Yingpeng Du, Zhu Sun, Haoyan Chua, Kaidong Feng, Wenya Wang, Jie Zhang |
| 2025 | ReFF: Reinforcing Format Faithfulness in Language Models Across Varied Tasks. Jiashu Yao, Heyan Huang, Zeming Liu, Haoyu Wen, Wei Su, Boao Qian, Yuhang Guo |
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| 2025 | ReMoGPT: Part-Level Retrieval-Augmented Motion-Language Models. Qing Yu, Mikihiro Tanaka, Kent Fujiwara |
| 2025 | ReX: A Framework for Incorporating Temporal Information in Model-Agnostic Local Explanation Techniques. Junhao Liu, Xin Zhang |
| 2025 | ReactGPT: Understanding of Chemical Reactions via In-Context Tuning. Zhe Chen, Zhe Fang, Wenhao Tian, Zhaoguang Long, Changzhi Sun, Yuefeng Chen, Hao Yuan, Honglin Li, Man Lan |
| 2025 | Read, Watch and Scream! Sound Generation from Text and Video. Yujin Jeong, Yunji Kim, Sanghyuk Chun, Jiyoung Lee |
| 2025 | Ready for You When You Are Back: Content-Driven Session-Based Recommendation for Continuity of Experience. Brijraj Singh, Sonal Dabral, Niranjan Pedanekar |
| 2025 | Real-Time Calibration Model for Low-Cost Sensor in Fine-Grained Time Series. Seokho Ahn, Hyungjin Kim, Sungbok Shin, Young-Duk Seo |
| 2025 | Real-Time Neural Denoising with Render-Aware Knowledge Distillation. Mengxun Kong, Jie Guo, Chen Wang, Ye Yuan, Yanwen Guo |
| 2025 | Real-Time Object Detection and Skeletonization for Motion Prediction in Video Streaming. Gavin Wong, Yulia Kumar, J. Jenny Li, Dov Kruger |
| 2025 | Real-Time Recurrent Reinforcement Learning. Julian Lemmel, Radu Grosu |
| 2025 | RealPortrait: Realistic Portrait Animation with Diffusion Transformers. Zejun Yang, Huawei Wei, Zhisheng Wang |
| 2025 | RealisHuman: A Two-Stage Approach for Refining Malformed Human Parts in Generated Images. Benzhi Wang, Jingkai Zhou, Jingqi Bai, Yang Yang, Weihua Chen, Fan Wang, Zhen Lei |
| 2025 | RealisID: Scale-Robust and Fine-Controllable Identity Customization via Local and Global Complementation. Zhaoyang Sun, Fei Du, Weihua Chen, Fan Wang, Yaxiong Chen, Yi Rong, Shengwu Xiong |
| 2025 | Realistic Noise Synthesis with Diffusion Models. Qi Wu, Mingyan Han, Ting Jiang, Chengzhi Jiang, Jinting Luo, Man Jiang, Haoqiang Fan, Shuaicheng Liu |
| 2025 | Realizing AI for Impact: Towards Participatory Human-AI Collaboration for Water Conservation and Reproductive Health. Elizabeth Bondi-Kelly |
| 2025 | Reasoning About Actual Causes in Nondeterministic Domains. Shakil M. Khan, Yves Lespérance, Maryam Rostamigiv |
| 2025 | Reasoning over Uncertain Text by Generative Large Language Models. Aliakbar Nafar, Kristen Brent Venable, Parisa Kordjamshidi |
| 2025 | Rebalancing Multi-Label Class-Incremental Learning. Kaile Du, Yifan Zhou, Fan Lyu, Yuyang Li, Junzhou Xie, Yixi Shen, Fuyuan Hu, Guangcan Liu |
| 2025 | Reconsidering Feature Structure Information and Latent Space Alignment in Partial Multi-label Feature Selection. Hanlin Pan, Kunpeng Liu, Wanfu Gao |
| 2025 | Reconstruction Target Matters in Masked Image Modeling for Cross-Domain Few-Shot Learning. Ran Ma, Yixiong Zou, Yuhua Li, Ruixuan Li |
| 2025 | Recording for Eyes, Not Echoing to Ears: Contextualized Spoken-to-Written Conversion of ASR Transcripts. Jiaqing Liu, Chong Deng, Qinglin Zhang, Shilin Zhou, Qian Chen, Hai Yu, Wen Wang |
| 2025 | Recoverable Compression: A Multimodal Vision Token Recovery Mechanism Guided by Text Information. Yi Chen, Jian Xu, Xu-Yao Zhang, Wen-Zhuo Liu, Yang-Yang Liu, Cheng-Lin Liu |
| 2025 | Recoverable Facial Identity Protection via Adaptive Makeup Transfer Adversarial Attacks. Xiyao Liu, Junxing Ma, Xinda Wang, Qianyu Lin, Jian Zhang, Gerald Schaefer, Cagatay Turkay, Hui Fang |
| 2025 | Rectified Lagrangian for Out-of-Distribution Detection in Modern Hopfield Networks. Ryo Moriai, Nakamasa Inoue, Masayuki Tanaka, Rei Kawakami, Satoshi Ikehata, Ikuro Sato |
| 2025 | Recursive Aggregates as Intensional Functions in Answer Set Programming: Semantics and Strong Equivalence. Jorge Fandinno, Zachary Hansen |
| 2025 | Reducing AUV Energy Consumption Through Dynamic Sensor Directions Switching via Deep Reinforcement Learning. Jiawei Liu, Yuanbo Xu, Shanshan Song, Lu Jiang |
| 2025 | Reducing Divergence in Batch Normalization for Domain Adaptation. Ellen Yi-Ge, Mingjing Wu, Zhenghan Chen |
| 2025 | Reducing Leximin Fairness to Utilitarian Optimization. Eden Hartman, Yonatan Aumann, Avinatan Hassidim, Erel Segal-Halevi |
| 2025 | RefDetector: A Simple Yet Effective Matching-based Method for Referring Expression Comprehension. Yabing Wang, Zhuotao Tian, Zheng Qin, Sanping Zhou, Le Wang |
| 2025 | Reference-Based Post-OCR Processing with LLM for Precise Diacritic Text in Historical Document Recognition. Thao Do, Dinh Phu Tran, An Vo, Daeyoung Kim |
| 2025 | Refine then Classify: Robust Graph Neural Networks with Reliable Neighborhood Contrastive Refinement. Shuman Zhuang, Zhihao Wu, Zhaoliang Chen, Hong-Ning Dai, Ximeng Liu |
| 2025 | RegMixMatch: Optimizing Mixup Utilization in Semi-Supervised Learning. Haorong Han, Jidong Yuan, Chixuan Wei, Zhongyang Yu |
| 2025 | Region-Based Optimization in Continual Learning for Audio Deepfake Detection. Yujie Chen, Jiangyan Yi, Cunhang Fan, Jianhua Tao, Yong Ren, Siding Zeng, Chu Yuan Zhang, Xinrui Yan, Hao Gu, Jun Xue, Chenglong Wang, Zhao Lv, Xiaohui Zhang |
| 2025 | Region-aware Difference Distilling with Attribute-guided Contrastive Regularization for Change Captioning. Rong Li, Liang Li, Jiehua Zhang, Qiang Zhao, Hongkui Wang, Chenggang Yan |
| 2025 | Regional Expected Improvement for Efficient Trust Region Selection in High-Dimensional Bayesian Optimization. Nobuo Namura, Sho Takemori |
| 2025 | Regret Analysis of Multi-task Representation Learning for Linear-Quadratic Adaptive Control. Bruce D. Lee, Leonardo F. Toso, Thomas T. Zhang, James Anderson, Nikolai Matni |
| 2025 | Reinforced Multi-teacher Knowledge Distillation for Efficient General Image Forgery Detection and Localization. Zeqin Yu, Jiangqun Ni, Jian Zhang, Haoyi Deng, Yuzhen Lin |
| 2025 | Reinforcement Active Client Selection for Federated Heterogeneous Graph Learning. Jia Wang, Yawen Li, Yingxia Shao, Zhe Xue, Zeli Guan, Ang Li, Guanhua Ye |
| 2025 | Reinforcement Learning Platform for Adversarial Black-box Attacks with Custom Distortion Filters. Soumyendu Sarkar, Ashwin Ramesh Babu, Sajad Mousavi, Vineet Gundecha, Sahand Ghorbanpour, Avisek Naug, Ricardo Luna Gutiérrez, Antonio Guillen, Desik Rengarajan |
| 2025 | Relation Also Knows: Rethinking the Recall and Editing of Factual Associations in Auto-Regressive Transformer Language Models. Xiyu Liu, Zhengxiao Liu, Naibin Gu, Zheng Lin, Wanli Ma, Ji Xiang, Weiping Wang |
| 2025 | Relation-Aware Equivariant Graph Networks for Epitope-Unknown Antibody Design and Specificity Optimization. Lirong Wu, Haitao Lin, Yufei Huang, Zhangyang Gao, Cheng Tan, Yunfan Liu, Tailin Wu, Stan Z. Li |
| 2025 | Relation-aware Hierarchical Prompt for Open-vocabulary Scene Graph Generation. Tao Liu, Rongjie Li, Chongyu Wang, Xuming He |
| 2025 | Relational Neurosymbolic Markov Models. Lennert De Smet, Gabriele Venturato, Luc De Raedt, Giuseppe Marra |
| 2025 | Relaxed Class-consensus Consistency for Semi-supervised Semantic Segmentation. Huayu Mai, Rui Sun, Feng Wu |
| 2025 | Relaxed Rotational Equivariance via G-Biases in Vision. Zhiqiang Wu, Yingjie Liu, Licheng Sun, Jian Yang, Hanlin Dong, Shing-Ho J. Lin, Xuan Tang, Jinpeng Mi, Bo Jin, Xian Wei |
| 2025 | Reliable Uncertainty Quantification in Machine Learning via Conformal Prediction. Yuanjie Shi |
| 2025 | Relieving Universal Label Noise for Unsupervised Visible-Infrared Person Re-Identification by Inferring from Neighbors. Xiao Teng, Long Lan, Dingyao Chen, Kele Xu, Nan Yin |
| 2025 | RemDet: Rethinking Efficient Model Design for UAV Object Detection. Chen Li, Rui Zhao, Zeyu Wang, Huiying Xu, Xinzhong Zhu |
| 2025 | RepFace: Refining Closed-Set Noise with Progressive Label Correction for Face Recognition. Jie Zhang, Xun Gong, Zhonglin Sun |
| 2025 | RepeatLeakage: Leak Prompts from Repeating as Large Language Model Is a Good Repeater. Yu Peng, Lijie Zhang, Peizhuo Lv, Kai Chen |
| 2025 | Replacing Paths with Connection-Biased Attention for Knowledge Graph Completion. Sharmishtha Dutta, Alex Gittens, Mohammed J. Zaki, Charu C. Aggarwal |
| 2025 | Replicating Electoral Success. Kiran Tomlinson, Tanvi Namjoshi, Johan Ugander, Jon M. Kleinberg |
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| 2025 | Representation Learning Based Predicate Invention on Knowledge Graphs. Man Zhu, Pengfei Huang, Lei Gu, Xiaolong Xu, Jingyu Han |
| 2025 | Representation Learning: A Causal Perspective. Yixin Wang |
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| 2025 | Reputation-aware Revenue Allocation for Auction-based Federated Learning. Xiaoli Tang, Han Yu |
| 2025 | ResAdapter: Domain Consistent Resolution Adapter for Diffusion Models. Jiaxiang Cheng, Pan Xie, Xin Xia, Jiashi Li, Jie Wu, Yuxi Ren, Huixia Li, Xuefeng Xiao, Shilei Wen, Lean Fu |
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| 2025 | Responsive Dynamic Graph Disentanglement for Metro Flow Forecasting. Qiang Gao, Zizheng Wang, Li Huang, Goce Trajcevski, Guisong Liu, Xueqin Chen |
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| 2025 | Retention Score: Quantifying Jailbreak Risks for Vision Language Models. Zaitang Li, Pin-Yu Chen, Tsung-Yi Ho |
| 2025 | Rethinking Byzantine Robustness in Federated Recommendation from Sparse Aggregation Perspective. Zhongjian Zhang, Mengmei Zhang, Xiao Wang, Lingjuan Lyu, Bo Yan, Junping Du, Chuan Shi |
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| 2025 | Rethinking Open-Vocabulary Segmentation of Radiance Fields in 3D Space. Hyunjee Lee, Youngsik Yun, Jeongmin Bae, Seoha Kim, Youngjung Uh |
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| 2025 | Rethinking Transformer-Based Blind-Spot Network for Self-Supervised Image Denoising. Junyi Li, Zhilu Zhang, Wangmeng Zuo |
| 2025 | Rethinking U-Net: Task-Adaptive Mixture of Skip Connections for Enhanced Medical Image Segmentation. Zichen Luo, Xinshan Zhu, Lan Zhang, Biao Sun |
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| 2025 | Retrieval-Augmented Visual Question Answering via Built-in Autoregressive Search Engines. Xinwei Long, Zhiyuan Ma, Ermo Hua, Kaiyan Zhang, Biqing Qi, Bowen Zhou |
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| 2025 | RingFormer: A Ring-Enhanced Graph Transformer for Organic Solar Cell Property Prediction. Zhihao Ding, Ting Zhang, Yiran Li, Jieming Shi, Chen Jason Zhang |
| 2025 | Risk Controlled Image Retrieval. Kaiwen Cai, Chris Xiaoxuan Lu, Xingyu Zhao, Wei Huang, Xiaowei Huang |
| 2025 | Risk-averse Total-reward MDPs with ERM and EVaR. Xihong Su, Marek Petrik, Julien Grand-Clément |
| 2025 | RoDA: Robust Domain Alignment for Cross-Domain Retrieval Against Label Noise. Ziniu Yin, Yanglin Feng, Ming Yan, Xiaomin Song, Dezhong Peng, Xu Wang |
| 2025 | RoPaSS: Robust Watermarking for Partial Screen-Shooting Scenarios. Zehua Ma, Han Fang, Xi Yang, Kejiang Chen, Weiming Zhang |
| 2025 | RoVRM: A Robust Visual Reward Model Optimized via Auxiliary Textual Preference Data. Chenglong Wang, Yang Gan, Yifu Huo, Yongyu Mu, Murun Yang, Qiaozhi He, Tong Xiao, Chunliang Zhang, Tongran Liu, Jingbo Zhu |
| 2025 | Robots Learning Through Physical Interactive Intelligence. Roberto Martín-Martín |
| 2025 | Robust Graph Based Social Recommendation Through Contrastive Multi-View Learning. Fei Xiong, Tao Zhang, Shirui Pan, Guixun Luo, Liang Wang |
| 2025 | Robust Heterogeneous Graph Classification for Molecular Property Prediction with Information Bottleneck. Zhibin Ni, Chang Liu, Hai Wan, Xibin Zhao |
| 2025 | Robust Image Hashing Based on Contrastive Masked Autoencoder with Weak-Strong Augmentation Alignment. Cundian Yang, Guibo Luo, Yuesheng Zhu, Jiaqi Li, Xiyao Liu |
| 2025 | Robust Logit Adjustment for Learning with Long-Tailed Noisy Data. Mingcai Chen, Yuntao Du, Wenyu Jiang, Baoming Zhang, Shuai Feng, Yi Xin, Chongjun Wang |
| 2025 | Robust Multi-Objective Preference Alignment with Online DPO. Raghav Gupta, Ryan Sullivan, Yunxuan Li, Samrat Phatale, Abhinav Rastogi |
| 2025 | Robust Performance Incentivizing Algorithms for Multi-Armed Bandits with Strategic Agents. Seyed A. Esmaeili, Suho Shin, Aleksandrs Slivkins |
| 2025 | Robust SAM: On the Adversarial Robustness of Vision Foundation Models. Jiahuan Long, Zhengqin Xu, Tingsong Jiang, Wen Yao, Shuai Jia, Chao Ma, Xiaoqian Chen |
| 2025 | Robust Self-Paced Hashing for Cross-Modal Retrieval with Noisy Labels. Ruitao Pu, Yuan Sun, Yang Qin, Zhenwen Ren, Xiaomin Song, Huiming Zheng, Dezhong Peng |
| 2025 | Robust Tracking via Mamba-based Context-aware Token Learning. Jinxia Xie, Bineng Zhong, Qihua Liang, Ning Li, Zhiyi Mo, Shuxiang Song |
| 2025 | Robust and Adaptive AI Models for Medication Usage Forecasting Using ICD-9/10 Code (Student Abstract). Jonathan Li |
| 2025 | Robust and Consistent Online Video Instance Segmentation via Instance Mask Propagation. Miran Heo, Seoung Wug Oh, Seon Joo Kim, Joon-Young Lee |
| 2025 | RouterRetriever: Routing over a Mixture of Expert Embedding Models. Hyunji Lee, Luca Soldaini, Arman Cohan, Minjoon Seo, Kyle Lo |
| 2025 | Rule-Guided Graph Neural Networks for Explainable Knowledge Graph Reasoning. Zhe Wang, Suxue Ma, Kewen Wang, Zhiqiang Zhuang |
| 2025 | Runtime Analysis for Multi-Objective Evolutionary Algorithms in Unbounded Integer Spaces. Benjamin Doerr, Martin S. Krejca, Günter Rudolph |
| 2025 | S-INF: Towards Realistic Indoor Scene Synthesis via Scene Implicit Neural Field. Zixi Liang, Guowei Xu, Haifeng Wu, Ye Huang, Wen Li, Lixin Duan |
| 2025 | S2S2: Semantic Stacking for Robust Semantic Segmentation in Medical Imaging. Yimu Pan, Sitao Zhang, Alison D. Gernand, Jeffery A. Goldstein, James Z. Wang |
| 2025 | SADBA: Self-Adaptive Distributed Backdoor Attack Against Federated Learning. Jun Feng, Yuzhe Lai, Hong Sun, Bocheng Ren |
| 2025 | SAFIRE: Segment Any Forged Image Region. Myung-Joon Kwon, Wonjun Lee, Seung-Hun Nam, Minji Son, Changick Kim |
| 2025 | SAIL: Sample-Centric In-Context Learning for Document Information Extraction. Jinyu Zhang, Zhiyuan You, Jize Wang, Xinyi Le |
| 2025 | SAM-Aware Graph Prompt Reasoning Network for Cross-Domain Few-Shot Segmentation. Shi-Feng Peng, Guolei Sun, Yong Li, Hongsong Wang, Guo-Sen Xie |
| 2025 | SAP: Corrective Machine Unlearning with Scaled Activation Projection for Label Noise Robustness. Sangamesh Kodge, Deepak Ravikumar, Gobinda Saha, Kaushik Roy |
| 2025 | SAUGE: Taming SAM for Uncertainty-Aligned Multi-Granularity Edge Detection. Xing Liufu, Chaolei Tan, Xiaotong Lin, Yonggang Qi, Jinxuan Li, Jian-Fang Hu |
| 2025 | SCALM: Detecting Bad Practices in Smart Contracts Through LLMs. Zongwei Li, Xiaoqi Li, Wenkai Li, Xin Wang |
| 2025 | SCANS: Mitigating the Exaggerated Safety for LLMs via Safety-Conscious Activation Steering. Zouying Cao, Yifei Yang, Hai Zhao |
| 2025 | SCCS: Deep Neural Spectral Clustering for Self-Supervised Subcellular Structure Segmentation. Jimao Jiang, Diya Sun, Tianbing Wang, Yuru Pei |
| 2025 | SCKD: Semi-Supervised Cross-Modality Knowledge Distillation for 4D Radar Object Detection. Ruoyu Xu, Zhiyu Xiang, Chenwei Zhang, Hanzhi Zhong, Xijun Zhao, Ruina Dang, Peng Xu, Tianyu Pu, Eryun Liu |
| 2025 | SCOPE: Sign Language Contextual Processing with Embedding from LLMs. Yuqi Liu, Wenqian Zhang, Sihan Ren, Chengyu Huang, Jingyi Yu, Lan Xu |
| 2025 | SCott: Accelerating Diffusion Models with Stochastic Consistency Distillation. Hongjian Liu, Qingsong Xie, Tianxiang Ye, Zhijie Deng, Chen Chen, Shixiang Tang, Xueyang Fu, Haonan Lu, Zheng-Jun Zha |
| 2025 | SDAS: Semantic Data Acquisition System for Minimizing Redundancy and Maximizing Diversity. Yeseung Park, Hyunse Yoon, Jungwoo Huh, Jungsu Kim, Jeongwook Choi, Sanghoon Lee |
| 2025 | SEAL: Systematic Error Analysis for Value ALignment. Manon Revel, Matteo Cargnelutti, Tyna Eloundou, Greg Leppert |
| 2025 | SEAS: Self-Evolving Adversarial Safety Optimization for Large Language Models. Muxi Diao, Rumei Li, Shiyang Liu, Guogang Liao, Jingang Wang, Xunliang Cai, Weiran Xu |
| 2025 | SECodec: Structural Entropy-based Compressive Speech Representation Codec for Speech Language Models. Linqin Wang, Yaping Liu, Zhengtao Yu, Shengxiang Gao, Cunli Mao, Yuxin Huang, Wenjun Wang, Ling Dong |
| 2025 | SELF-[IN]CORRECT: LLMs Struggle with Discriminating Self-Generated Responses. Dongwei Jiang, Jingyu Zhang, Orion Weller, Nathaniel Weir, Benjamin Van Durme, Daniel Khashabi |
| 2025 | SGDiff: Scene Graph Guided Diffusion Model for Image Collaborative SegCaptioning. Xu Zhang, Jin Yuan, Hanwang Zhang, Guojin Zhong, Yongsheng Zang, Jiacheng Lin, Zhiyong Li |
| 2025 | SGFormer: Semantic-Geometry Fusion Transformer for Multi-modal 3D Panoptic Segmentation. Hongqi Yu, Sixian Chan, Xiaolong Zhou, Xiaoqin Zhang |
| 2025 | SGTC: Semantic-Guided Triplet Co-training for Sparsely Annotated Semi-Supervised Medical Image Segmentation. Ke Yan, Qing Cai, Fan Zhang, Ziyan Cao, Zhi Liu |
| 2025 | SIDE: Socially Informed Drought Estimation Toward Understanding Societal Impact Dynamics of Environmental Crisis. Lanyu Shang, Bozhang Chen, Shiwei Liu, Yang Zhang, Ruohan Zong, Anav Vora, Ximing Cai, Na Wei, Dong Wang |
| 2025 | SIDL: A Real-World Dataset for Restoring Smartphone Images with Dirty Lenses. Sooyoung Choi, Sungyong Park, Heewon Kim |
| 2025 | SIGMA: Selective Gated Mamba for Sequential Recommendation. Ziwei Liu, Qidong Liu, Yejing Wang, Wanyu Wang, Pengyue Jia, Maolin Wang, Zitao Liu, Yi Chang, Xiangyu Zhao |
| 2025 | SIGraph: Saliency Image-Graph Network for Retinal Disease Classification in Fundus Image. Peng Zhang, Yuan Li, Haotian Song, Yankai Jiang, Yubo Tao, Hai Lin, Hongguang Cui |
| 2025 | SKI Models: Skeleton Induced Vision-Language Embeddings for Understanding Activities of Daily Living. Arkaprava Sinha, Dominick Reilly, François Brémond, Pu Wang, Srijan Das |
| 2025 | SLACE: A Monotone and Balance-Sensitive Loss Function for Ordinal Regression. Inbar Nachmani, Bar Genossar, Coral Scharf, Roee Shraga, Avigdor Gal |
| 2025 | SLIP: Spoof-Aware One-Class Face Anti-Spoofing with Language Image Pretraining. Pei-Kai Huang, Jun-Xiong Chong, Cheng-Hsuan Chiang, Tzu-Hsien Chen, Tyng-Luh Liu, Chiou-Ting Hsu |
| 2025 | SLR-MVTC: Smooth Low-Rank Multi-View Tensor Clustering. Zhen Long, Yipeng Liu, Yazhou Ren, Ce Zhu |
| 2025 | SLRL: Semi-Supervised Local Community Detection Based on Reinforcement Learning. Li Ni, Rui Ye, Wenjian Luo, Yiwen Zhang, Lei Zhang, Victor S. Sheng |
| 2025 | SMLE: Safe Machine Learning via Embedded Overapproximation. Matteo Francobaldi, Michele Lombardi |
| 2025 | SMMF: Square-Matricized Momentum Factorization for Memory-Efficient Optimization. Kwangryeol Park, Seulki Lee |
| 2025 | SMR-Net: Semantic-Guided Mutually Reinforcing Network for Cross-Modal Image Fusion and Salient Object Detection. Guobao Xiao, Xinyu Liu, Zebin Lin, Rui Ming |
| 2025 | SMamba: Sparse Mamba for Event-based Object Detection. Nan Yang, Yang Wang, Zhanwen Liu, Meng Li, Yisheng An, Xiangmo Zhao |
| 2025 | SMoSE: Sparse Mixture of Shallow Experts for Interpretable Reinforcement Learning in Continuous Control Tasks. Mátyás Vincze, Laura Ferrarotti, Leonardo Lucio Custode, Bruno Lepri, Giovanni Iacca |
| 2025 | SNAP: Semantic Stories for Next Activity Prediction. Alon Oved, Segev Shlomov, Sergey Zeltyn, Nir Mashkif, Avi Yaeli |
| 2025 | SOLA-GCL: Subgraph-Oriented Learnable Augmentation Method for Graph Contrastive Learning. Tianhao Peng, Xuhong Li, Haitao Yuan, Yuchen Li, Haoyi Xiong |
| 2025 | SORREL: Suboptimal-Demonstration-Guided Reinforcement Learning for Learning to Branch. Shengyu Feng, Yiming Yang |
| 2025 | SOVGaussian: Sparse-View 3D Gaussian Splatting for Open-Vocabulary Scene Understanding. Peng Ling, Tiao Tan, Jiaqi Lin, Wenming Yang |
| 2025 | SPAC: Sparse Partitioning and Adaptive Core Tensor Pruning Model for Knowledge Graph Completion. Chuhong Yang, Bin Li, Nan Wu |
| 2025 | SPACETIME: Causal Discovery from Non-Stationary Time Series. Sarah Mameche, Lénaïg Cornanguer, Urmi Ninad, Jilles Vreeken |
| 2025 | SPASCA: Social Presence and Support with Conversational Agent for Persons Living with Dementia. Ali Köksal, Jingjing Gu, Kotaro Hara, Jing Jiang, Joo-Hwee Lim, Qianli Xu |
| 2025 | SPU-IMR: Self-supervised Arbitrary-scale Point Cloud Upsampling via Iterative Mask-recovery Network. Ziming Nie, Qiao Wu, Chenlei Lv, Siwen Quan, Zhaoshuai Qi, Muze Wang, Jiaqi Yang |
| 2025 | SQLFixAgent: Towards Semantic-Accurate Text-to-SQL Parsing via Consistency-Enhanced Multi-Agent Collaboration. Jipeng Cen, Jiaxin Liu, Zhixu Li, Jingjing Wang |
| 2025 | SR-FoT: A Syllogistic-Reasoning Framework of Thought for Large Language Models Tackling Knowledge-based Reasoning Tasks. Wentao Wan, Zhuojie Yang, Yongcan Chen, Chenglin Luo, Ruilin Wang, Kehao Cai, Nan Kang, Liang Lin, Keze Wang |
| 2025 | SRDC: Semantics-based Ransomware Detection and Classification with LLM-assisted Pre-training. Ce Zhou, Yilun Liu, Weibin Meng, Shimin Tao, Weinan Tian, Feiyu Yao, Xiaochun Li, Tao Han, Boxing Chen, Hao Yang |
| 2025 | SS-GEN: A Social Story Generation Framework with Large Language Models. Yi Feng, Mingyang Song, Jiaqi Wang, Zhuang Chen, Guanqun Bi, Minlie Huang, Liping Jing, Jian Yu |
| 2025 | SSAN: A Symbol Spatial-Aware Network for Handwritten Mathematical Expression Recognition. Haoran Zhang, Xiangdong Su, Xingxiang Zhou, Guanglai Gao |
| 2025 | SSC-VAE: Structured Sparse Coding Based Variational Autoencoder for Detail Preserved Image Reconstruction. Hao Wang, Lu Wang, Zhongyu Wang, Lixin Ma, Ye Luo |
| 2025 | SSE-SAM: Balancing Head and Tail Classes Gradually Through Stage-Wise SAM. Xingyu Lyu, Qianqian Xu, Zhiyong Yang, Shaojie Lyu, Qingming Huang |
| 2025 | SSL-STMFormer Self-Supervised Learning Spatio-Temporal Entanglement Transformer for Traffic Flow Prediction. Zetao Li, Zheng Hu, Peng Han, Yu Gu, Shimin Cai |
| 2025 | SSLFusion: Scale and Space Aligned Latent Fusion Model for Multimodal 3D Object Detection. Bonan Ding, Jin Xie, Jing Nie, Jiale Cao |
| 2025 | SSUN-Net: Spatial-Spectral Prior-Aware Unfolding Network for Pan-Sharpening. Shijie Fang, Hongping Gan |
| 2025 | ST-FiT: Inductive Spatial-Temporal Forecasting with Limited Training Data. Zhenyu Lei, Yushun Dong, Jundong Li, Chen Chen |
| 2025 | ST-ReP: Learning Predictive Representations Efficiently for Spatial-Temporal Forecasting. Qi Zheng, Zihao Yao, Yaying Zhang |
| 2025 | ST3: Accelerating Multimodal Large Language Model by Spatial-Temporal Visual Token Trimming. Jiedong Zhuang, Lu Lu, Ming Dai, Rui Hu, Jian Chen, Qiang Liu, Haoji Hu |
| 2025 | STAIR: Manipulating Collaborative and Multimodal Information for E-Commerce Recommendation. Cong Xu, Yunhang He, Jun Wang, Wei Zhang |
| 2025 | STAMPsy: Towards SpatioTemporal-Aware Mixed-Type Dialogues for Psychological Counseling. Jieyi Wang, Yue Huang, Zeming Liu, Dexuan Xu, Chuan Wang, Xiaoming Shi, Ruiyuan Guan, Hongxing Wang, Weihua Yue, Yu Huang |
| 2025 | STD-PLM: Understanding Both Spatial and Temporal Properties of Spatial-Temporal Data with PLM. Yiheng Huang, Xiaowei Mao, Shengnan Guo, Yubin Chen, Junfeng Shen, Tiankuo Li, Youfang Lin, Huaiyu Wan |
| 2025 | STEM-LTS: Integrating Semantic-Temporal Dynamics in LLM-driven Time Series Analysis. Zhe Zhao, Pengkun Wang, Haibin Wen, Shuang Wang, Liheng Yu, Yang Wang |
| 2025 | STGC-NeRF: Spatial-Temporal Geometric Consistency for LiDAR Neural Radiance Fields in Dynamic Scenes. Shangshu Yu, Xiaotian Sun, Wen Li, Qingshan Xu, Zhimin Yuan, Sijie Wang, Rui She, Cheng Wang |
| 2025 | STLC-KG: A Social Text Steganalysis Method Combining Large-Scale Language Models and Common-Sense Knowledge Graphs. Zhuang Wang, Linna Zhou, Xuekai Chen, Zhili Zhou, Zhongliang Yang |
| 2025 | STraj: Self-training for Bridging the Cross-Geography Gap in Trajectory Prediction. Zhanwei Zhang, Minghao Chen, Zhihong Gu, Xinkui Zhao, Zheng Yang, Binbin Lin, Deng Cai, Wenxiao Wang |
| 2025 | SUMI-IFL: An Information-Theoretic Framework for Image Forgery Localization with Sufficiency and Minimality Constraints. Ziqi Sheng, Wei Lu, Xiangyang Luo, Jiantao Zhou, Xiaochun Cao |
| 2025 | SUMO: Search-Based Uncertainty Estimation for Model-Based Offline Reinforcement Learning. Zhongjian Qiao, Jiafei Lyu, Kechen Jiao, Qi Liu, Xiu Li |
| 2025 | SUTrack: Towards Simple and Unified Single Object Tracking. Xin Chen, Ben Kang, Wanting Geng, Jiawen Zhu, Yi Liu, Dong Wang, Huchuan Lu |
| 2025 | SVGBuilder: Component-Based Colored SVG Generation with Text-Guided Autoregressive Transformers. Zehao Chen, Rong Pan |
| 2025 | SVRMamba: Slice-to-Volume Reconstruction from Multiple MRI Stacks with Slice Sequence Guided Mamba. Jiangjie Wu, Hongjiang Wei, Yuyao Zhang |
| 2025 | SVTformer: Spatial-View-Temporal Transformer for Multi-View 3D Human Pose Estimation. Wanruo Zhang, Mengyuan Liu, Hong Liu, Wenhao Li |
| 2025 | SVasP: Self-Versatility Adversarial Style Perturbation for Cross-Domain Few-Shot Learning. Wenqian Li, Pengfei Fang, Hui Xue |
| 2025 | SWAMamba: A Sliding Window Attention Mamba Framework for Predicting Translation Elongation Rates. Xi Zeng, Fei Ni, Shaoqing Jiao, Dazhi Lu, Jianye Hao, Jiajie Peng |
| 2025 | SWEA: Updating Factual Knowledge in Large Language Models via Subject Word Embedding Altering. Xiaopeng Li, Shasha Li, Shezheng Song, Huijun Liu, Bin Ji, Xi Wang, Jun Ma, Jie Yu, Xiaodong Liu, Jing Wang, Weimin Zhang |
| 2025 | SWIFT: A Scalable Lightweight Infrastructure for Fine-Tuning. Yuze Zhao, Jintao Huang, Jinghan Hu, Xingjun Wang, Yunlin Mao, Daoze Zhang, Zeyinzi Jiang, Zhikai Wu, Baole Ai, Ang Wang, Wenmeng Zhou, Yingda Chen |
| 2025 | SYNAPSE: SYmbolic Neural-Aided Preference Synthesis Engine. Sadanand Modak, Noah Tobias Patton, Isil Dillig, Joydeep Biswas |
| 2025 | S^3cMath: Spontaneous Step-Level Self-Correction Makes Large Language Models Better Mathematical Reasoners. Yuchen Yan, Jin Jiang, Yang Liu, Yixin Cao, Xin Xu, Mengdi Zhang, Xunliang Cai, Jian Shao |
| 2025 | Safe Online Convex Optimization with Heavy-Tailed Observation Noises. Yunhao Yang, Bo Xue, Yunzhi Hao, Ying Li, Yuanyu Wan |
| 2025 | Safe Planner: Empowering Safety Awareness in Large Pre-Trained Models for Robot Task Planning. Siyuan Li, Feifan Liu, Lingfei Cui, Jiani Lu, Qinqin Xiao, Xirui Yang, Peng Liu, Kewu Sun, Zhe Ma, Xun Wang |
| 2025 | SafeInfer: Context Adaptive Decoding Time Safety Alignment for Large Language Models. Somnath Banerjee, Sayan Layek, Soham Tripathy, Shanu Kumar, Animesh Mukherjee, Rima Hazra |
| 2025 | SafetyPrompts: A Systematic Review of Open Datasets for Evaluating and Improving Large Language Model Safety. Paul Röttger, Fabio Pernisi, Bertie Vidgen, Dirk Hovy |
| 2025 | SalM²: An Extremely Lightweight Saliency Mamba Model for Real-Time Cognitive Awareness of Driver Attention. Chunyu Zhao, Wentao Mu, Xian Zhou, Wenbo Liu, Fei Yan, Tao Deng |
| 2025 | Salient Frequency-aware Exemplar Compression for Resource-constrained Online Continual Learning. Junsu Kim, Suhyun Kim |
| 2025 | Sample Complexity of Linear Regression Models for Opinion Formation in Networks. Haolin Liu, Rajmohan Rajaraman, Ravi Sundaram, Anil Kumar S. Vullikanti, Omer Wasim, Haifeng Xu |
| 2025 | Sample-aware Adaptive Structured Pruning for Large Language Models. Jun Kong, Xinge Ma, Jin Wang, Xuejie Zhang |
| 2025 | SatCLIP: Global, General-Purpose Location Embeddings with Satellite Imagery. Konstantin Klemmer, Esther Rolf, Caleb Robinson, Lester Mackey, Marc Rußwurm |
| 2025 | Scaffold-BPE: Enhancing Byte Pair Encoding for Large Language Models with Simple and Effective Scaffold Token Removal. Haoran Lian, Yizhe Xiong, Jianwei Niu, Shasha Mo, Zhenpeng Su, Zijia Lin, Hui Chen, Jungong Han, Guiguang Ding |
| 2025 | Scalable Acceleration for Classification-Based Derivative-Free Optimization. Tianyi Han, Jingya Li, Zhipeng Guo, Yuan Jin |
| 2025 | Scalable Decentralized Algorithms for Online Personalized Mean Estimation. Franco Galante, Giovanni Neglia, Emilio Leonardi |
| 2025 | Scalable Federated One-Step Multi-View Clustering with Tensorized Regularization. Wei Feng, Danting Liu, Qianqian Wang, Wenqi Liang, Zheng Yan |
| 2025 | Scalable Hierarchical Deep Neural Network for Time Series Analysis in Wearable Sensor-based Human Activity Recognition. Zahra Ghorrati |
| 2025 | Scalable Knowledge Refactoring Using Constrained Optimisation. Minghao Liu, David M. Cerna, Filipe Gouveia, Andrew Cropper |
| 2025 | Scalable One-Pass Incomplete Multi-View Clustering by Aligning Anchors. Yalan Qin, Guorui Feng, Xinpeng Zhang |
| 2025 | Scalable Quantum-Inspired Optimization Through Dynamic Qubit Compression. Co Tran, Quoc-Bao Tran, Hy Truong Son, Thang N. Dinh |
| 2025 | Scalable Solutions for Decision-Making Systems Using Explainable Policy Representations. Muqsit Azeem |
| 2025 | Scalable Surrogate Verification of Image-Based Neural Network Control Systems Using Composition and Unrolling. Feiyang Cai, Chuchu Fan, Stanley Bak |
| 2025 | Scalable Trajectory-User Linking with Dual-Stream Representation Networks. Hao Zhang, Wei Chen, Xingyu Zhao, Jianpeng Qi, Guiyuan Jiang, Yanwei Yu |
| 2025 | Scalable Vision-Language Understanding and Generation. Linchao Zhu |
| 2025 | Scalable and Efficient Probabilistic Inference for Bayesian Deep Learning and Generative Modeling. Ruqi Zhang |
| 2025 | Scalable and Trustworthy Learning in Heterogeneous Networks. Tian Li |
| 2025 | Scalable, Sustainable, Generalizable, and Responsible AI for Public Sector. Zheyuan Ryan Shi |
| 2025 | ScaleMatch: Multi-scale Consistency Enhancement for Semi-supervised Semantic Segmentation. Liang Lv, Lefei Zhang |
| 2025 | ScaleOT: Privacy-utility-scalable Offsite-tuning with Dynamic LayerReplace and Selective Rank Compression. Kai Yao, Zhaorui Tan, Tiandi Ye, Lichun Li, Yuan Zhao, Wenyan Liu, Wei Wang, Jianke Zhu |
| 2025 | Scaling Combinatorial Optimization Neural Improvement Heuristics with Online Search and Adaptation. Federico Julian Camerota Verdù, Lorenzo Castelli, Luca Bortolussi |
| 2025 | Scaling Diffusion Mamba with Bidirectional SSMs for Efficient 3D Shape Generation. Shentong Mo |
| 2025 | Scaling Effects on Latent Representation Edits in GPT Models (Student Abstract). Austin L. Davis, Gita Sukthankar |
| 2025 | Scaling Trends for Data Poisoning in LLMs. Dillon Bowen, Brendan Murphy, Will Cai, David Khachaturov, Adam Gleave, Kellin Pelrine |
| 2025 | ScamNet: Toward Explainable Large Language Model-Based Fraudulent Shopping Website Detection. Marzieh Bitaab, Alireza Karimi, Zhuoer Lyu, Ahmadreza Mosallanezhad, Adam Oest, Ruoyu Wang, Tiffany Bao, Yan Shoshitaishvili, Adam Doupé |
| 2025 | Scenario-Based Robust Optimization of Tree Structures. Spyros Angelopoulos, Christoph Dürr, Alex Elenter, Georgii Melidi |
| 2025 | Scene Graph-Grounded Image Generation. Fuyun Wang, Tong Zhang, Yuanzhi Wang, Xiaoya Zhang, Xin Liu, Zhen Cui |
| 2025 | SceneX: Procedural Controllable Large-Scale Scene Generation. Mengqi Zhou, Yuxi Wang, Jun Hou, Shougao Zhang, Yiwei Li, Chuanchen Luo, Junran Peng, Zhaoxiang Zhang |
| 2025 | ScholarGEC: Enhancing Controllability of Large Language Model for Chinese Academic Grammatical Error Correction. Zixiao Kong, Xianquan Wang, Shuanghong Shen, Keyu Zhu, Huibo Xu, Yu Su |
| 2025 | ScoreNet: Consistency-driven Framework with Multi-side Information Fusion for Session-based Recommendation. Piao Tong, Qiao Liu, Zhipeng Zhang, Yuke Wang, Tian Lan |
| 2025 | ScreenMark: Watermarking Arbitrary Visual Content on Screen. Xiujian Liang, Gaozhi Liu, Yichao Si, Xiaoxiao Hu, Zhenxing Qian |
| 2025 | ScriptSmith: A Unified LLM Framework for Enhancing IT Operations via Automated Bash Script Generation, Assessment, and Refinement. Pooja Aggarwal, Oishik Chatterjee, Ting Dai, Suranjana Samanta, Prateeti Mohapatra, Debanjana Kar, Ruchi Mahindru, Steve Barbieri, Eugen Postea, Brad Blancett, Arthur De Magalhaes |
| 2025 | SdalsNet: Self-Distilled Attention Localization and Shift Network for Unsupervised Camouflaged Object Detection. Peiyao Shou, Yixiu Liu, Wei Wang, Yaoqi Sun, Zhigao Zheng, Shangdong Zhu, Chenggang Yan |
| 2025 | SeFAR: Semi-supervised Fine-grained Action Recognition with Temporal Perturbation and Learning Stabilization. Yongle Huang, Haodong Chen, Zhenbang Xu, Zihan Jia, Haozhou Sun, Dian Shao |
| 2025 | Search Strategy Generation for Branch and Bound Using Genetic Programming. Gwen Maudet, Grégoire Danoy |
| 2025 | Searching for Unfairness in Algorithms' Outputs: Novel Tests and Insights. Ian Davidson, S. S. Ravi |
| 2025 | Searching for and Avoiding Hidden Sets Using Queries with Local Feedback. Tomasz Jurdzinski, Dariusz R. Kowalski |
| 2025 | Security Attacks on LLM-based Code Completion Tools. Wen Cheng, Ke Sun, Xinyu Zhang, Wei Wang |
| 2025 | See Through Their Minds: Learning Transferable Brain Decoding Models from Cross-Subject fMRI. Yulong Liu, Yongqiang Ma, Guibo Zhu, Haodong Jing, Nanning Zheng |
| 2025 | SeeDiff: Off-the-Shelf Seeded Mask Generation from Diffusion Models. Joon Hyun Park, Kumju Jo, Sungyong Baik |
| 2025 | Seeing Beyond Noise: Joint Graph Structure Evaluation and Denoising for Multimodal Recommendation. Yuxin Qi, Quan Zhang, Xi Lin, Xiu Su, Jiani Zhu, Jingyu Wang, Jianhua Li |
| 2025 | Seeing Your Speech Style: A Novel Zero-Shot Identity-Disentanglement Face-based Voice Conversion. Yan Rong, Li Liu |
| 2025 | Seg2Box: 3D Object Detection by Point-Wise Semantics Supervision. Maoji Zheng, Ziyu Xu, Qiming Xia, Hai Wu, Chenglu Wen, Cheng Wang |
| 2025 | SegFace: Face Segmentation of Long-Tail Classes. Kartik Narayan, Vibashan VS, Vishal M. Patel |
| 2025 | Segment Any 3D Gaussians. Jiazhong Cen, Jiemin Fang, Chen Yang, Lingxi Xie, Xiaopeng Zhang, Wei Shen, Qi Tian |
| 2025 | Selective Forgetting: Advancing Machine Unlearning Techniques and Evaluation in Language Models. Lingzhi Wang, Xingshan Zeng, Jinsong Guo, Kam-Fai Wong, Georg Gottlob |
| 2025 | Selective Uncertainty Propagation in Offline RL. Sanath Kumar Krishnamurthy, Tanmay Gangwani, Sumeet Katariya, Branislav Kveton, Shrey Modi, Anshuka Rangi |
| 2025 | Selective Visual Prompting in Vision Mamba. Yifeng Yao, Zichen Liu, Zhenyu Cui, Yuxin Peng, Jiahuan Zhou |
| 2025 | Self-Attentive Spatio-Temporal Calibration for Precise Intermediate Layer Matching in ANN-to-SNN Distillation. Di Hong, Yueming Wang |
| 2025 | Self-Corrected Flow Distillation for Consistent One-Step and Few-Step Image Generation. Quan Dao, Hao Phung, Trung Tuan Dao, Dimitris N. Metaxas, Anh Tuan Tran |
| 2025 | Self-Correcting Robot Manipulation via Gaussian-Splatted Foresight. Shaohui Pan, Yong Xu, Ruotao Xu, Zihan Zhou, Si Wu, Zhuliang Yu |
| 2025 | Self-Evolutionary Large Language Models Through Uncertainty-Enhanced Preference Optimization. Jianing Wang, Yang Zhou, Xiaocheng Zhang, Mengjiao Bao, Peng Yan |
| 2025 | Self-Explainable Graph Transformer for Link Sign Prediction. Lu Li, Jiale Liu, Xingyu Ji, Maojun Wang, Zeyu Zhang |
| 2025 | Self-Prompting Analogical Reasoning for UAV Object Detection. Nianxin Li, Mao Ye, Lihua Zhou, Song Tang, Yan Gan, Zizhuo Liang, Xiatian Zhu |
| 2025 | Self-Supervised Collaborative Information Bottleneck for Text Readability Assessment. Jinshan Zeng, Xianglong Yu, Xianchao Tong, Wenyan Xiao |
| 2025 | Self-attention-based Diffusion Model for Time-series Imputation in Partial Blackout Scenarios. Mohammad Rafid Ul Islam, Prasad Tadepalli, Alan Fern |
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| 2025 | SemStereo: Semantic-Constrained Stereo Matching Network for Remote Sensing. Chen Chen, Liangjin Zhao, Yuanchun He, Yingxuan Long, Kaiqiang Chen, Zhirui Wang, Yanfeng Hu, Xian Sun |
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| 2025 | Sequence Complementor: Complementing Transformers for Time Series Forecasting with Learnable Sequences. Xiwen Chen, Peijie Qiu, Wenhui Zhu, Huayu Li, Hao Wang, Aristeidis Sotiras, Yalin Wang, Abolfazl Razi |
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| 2025 | Sharper Error Bounds in Late Fusion Multi-view Clustering with Eigenvalue Proportion Optimization. Liang Du, Henghui Jiang, Xiaodong Li, Yiqing Guo, Yan Chen, Feijiang Li, Peng Zhou, Yuhua Qian |
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| 2025 | Sim4Rec: Data-Free Model Extraction Attack on Sequential Recommendation. Yihao Wang, Jiajie Su, Chaochao Chen, Meng Han, Chi Zhang, Jun Wang |
| 2025 | Sim911: Towards Effective and Equitable 9-1-1 Dispatcher Training with an LLM-Enabled Simulation. Zirong Chen, Elizabeth Chason, Noah Mladenovski, Erin Wilson, Kristin Mullen, Stephen Martini, Meiyi Ma |
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| 2025 | Simulate and Eliminate: Revoke Backdoors for Generative Large Language Models. Haoran Li, Yulin Chen, Zihao Zheng, Qi Hu, Chunkit Chan, Heshan Liu, Yangqiu Song |
| 2025 | Simulation-Free Hierarchical Latent Policy Planning for Proactive Dialogues. Tao He, Lizi Liao, Yixin Cao, Yuanxing Liu, Yiheng Sun, Zerui Chen, Ming Liu, Bing Qin |
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| 2025 | Single-Loop Federated Actor-Critic across Heterogeneous Environments. Ye Zhu, Xiaowen Gong |
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| 2025 | SkillTree: Explainable Skill-Based Deep Reinforcement Learning for Long-Horizon Control Tasks. Yongyan Wen, Siyuan Li, Rongchang Zuo, Lei Yuan, Hangyu Mao, Peng Liu |
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| 2025 | SyncNoise: Geometrically Consistent Noise Prediction for Instruction-based 3D Editing. Ruihuang Li, Liyi Chen, Zhengqiang Zhang, Varun Jampani, Vishal M. Patel, Lei Zhang |
| 2025 | Synchronization in Learning in Periodic Zero-Sum Games Triggers Divergence from Nash Equilibrium. Yuma Fujimoto, Kaito Ariu, Kenshi Abe |
| 2025 | Synergistic Multi-Agent Framework with Trajectory Learning for Knowledge-Intensive Tasks. Shengbin Yue, Siyuan Wang, Wei Chen, Xuanjing Huang, Zhongyu Wei |
| 2025 | Synergy of GFlowNet and Protein Language Model Makes a Diverse Antibody Designer. Mingze Yin, Hanjing Zhou, Yiheng Zhu, Jialu Wu, Wei Wu, Mingyang Li, Kun Fu, Zheng Wang, Chang-Yu Hsieh, Tingjun Hou, Jian Wu |
| 2025 | Synthetic Tabular Data Generation for Imbalanced Classification: The Surprising Effectiveness of an Overlap Class. Annie D'souza, Swetha M, Sunita Sarawagi |
| 2025 | S²DN: Learning to Denoise Unconvincing Knowledge for Inductive Knowledge Graph Completion. Tengfei Ma, Yujie Chen, Liang Wang, Xuan Lin, Bosheng Song, Xiangxiang Zeng |
| 2025 | S²MILE: Semantic-and-Structure-Aware Music-Driven Lyric Generation. Mu You, Fang Zhang, Shuai Zhang, Linli Xu |
| 2025 | S³-Mamba: Small-Size-Sensitive Mamba for Lesion Segmentation. Gui Wang, Yuexiang Li, Wenting Chen, Meidan Ding, Wooi Ping Cheah, Rong Qu, Jianfeng Ren, Linlin Shen |
| 2025 | T-MDML: Triplet-based Multiple Distance Metric Learning for Multi-Instance Multi-Label Classification with Label Correlation. Dongyeon Kim, Yejin Kan, Gangman Yi |
| 2025 | TAIL-MIL: Time-Aware and Instance-Learnable Multiple Instance Learning for Multivariate Time Series Anomaly Detection. Jaeseok Jang, Hyuk-Yoon Kwon |
| 2025 | TAMER: Tree-Aware Transformer for Handwritten Mathematical Expression Recognition. Jianhua Zhu, Wenqi Zhao, Yu Li, Xingjian Hu, Liangcai Gao |
| 2025 | TB-HSU: Hierarchical 3D Scene Understanding with Contextual Affordances. Wenting Xu, Viorela Ila, Luping Zhou, Craig T. Jin |
| 2025 | TC-Diffuser: Bi-Condition Multi-Modal Diffusion for Tropical Cyclone Forecasting. Shiqi Zhang, Pan Mu, Cheng Huang, Jinglin Zhang, Cong Bai |
| 2025 | TC-LLaVA: Rethinking the Transfer of LLava from Image to Video Understanding with Temporal Considerations. Mingze Gao, Jingyu Liu, Mingda Li, Jiangtao Xie, Qingbin Liu, Kevin Zhao, Xi Chen, Hui Xiong |
| 2025 | TCAM-Diff: Triplane-Aware Cross-Attention Medical Diffusion Model. Zhenkai Zhang, Krista A. Ehinger, Tom Drummond |
| 2025 | TCAQ-DM: Timestep-Channel Adaptive Quantization for Diffusion Models. Haocheng Huang, Jiaxin Chen, Jinyang Guo, Ruiyi Zhan, Yunhong Wang |
| 2025 | TCPFormer: Learning Temporal Correlation with Implicit Pose Proxy for 3D Human Pose Estimation. Jiajie Liu, Mengyuan Liu, Hong Liu, Wenhao Li |
| 2025 | TEncDM: Understanding the Properties of the Diffusion Model in the Space of Language Model Encodings. Alexander Shabalin, Viacheslav Meshchaninov, Egor Chimbulatov, Vladislav Lapikov, Roman Kim, Grigory Bartosh, Dmitry Molchanov, Sergey Markov, Dmitry P. Vetrov |
| 2025 | TG-LLaVA: Text Guided LLaVA via Learnable Latent Embeddings. Dawei Yan, Pengcheng Li, Yang Li, Hao Chen, Qingguo Chen, Weihua Luo, Wei Dong, Qingsen Yan, Haokui Zhang, Chunhua Shen |
| 2025 | TGBFormer: Transformer-GraphFormer Blender Network for Video Object Detection. Qiang Qi, Xiao Wang |
| 2025 | TGFormer: Transformer with Track Query Group for Multi-Object Tracking. Rui Zeng, Yuanzhou Huang, Songwei Pei |
| 2025 | TGLsta: Low-resource Textual Graph Learning with Semantic and Topological Awareness via LLMs. Qin Zhang, Xiaowei Li, Ziqi Liu, Xiaochen Fan, Xiaojun Chen, Shirui Pan |
| 2025 | THESAURUS: Contrastive Graph Clustering by Swapping Fused Gromov-Wasserstein Couplings. Bowen Deng, Tong Wang, Lele Fu, Sheng Huang, Chuan Chen, Tao Zhang |
| 2025 | THGNets: Constrained Temporal Hypergraphs and Graph Neural Networks in Hyperbolic Space for Information Diffusion Prediction. Yanchao Liu, Pengzhou Zhang, Wenchao Song, Yao Zheng, Deyu Li, Lei Shi, Junpeng Gong |
| 2025 | TIME-FS: Joint Learning of Tensorial Incomplete Multi-View Unsupervised Feature Selection and Missing-View Imputation. Yanyong Huang, Minghui Lu, Wei Huang, Xiuwen Yi, Tianrui Li |
| 2025 | TIV-Diffusion: Towards Object-Centric Movement for Text-driven Image to Video Generation. Xingrui Wang, Xin Li, Yaosi Hu, Hanxin Zhu, Chen Hou, Cuiling Lan, Zhibo Chen |
| 2025 | TNCSE: Tensor Norm Constraints for Unsupervised Contrastive Learning of Sentence Embeddings. Tianyu Zong, Bingkang Shi, Hongzhu Yi, Jungang Xu |
| 2025 | TPCH: Tensor-interacted Projection and Cooperative Hashing for Multi-view Clustering. Zhongwen Wang, Xingfeng Li, Yinghui Sun, Quansen Sun, Yuan Sun, Han Ling, Jian Dai, Zhenwen Ren |
| 2025 | TRACE-CS: A Synergistic Approach to Explainable Course Scheduling Using LLMs and Logic. Stylianos Loukas Vasileiou, William Yeoh |
| 2025 | TRACI: A Data-centric Approach for Multi-Domain Generalization on Graphs. Yusheng Zhao, Changhu Wang, Xiao Luo, Junyu Luo, Wei Ju, Zhiping Xiao, Ming Zhang |
| 2025 | TRAIL: Trust-Aware Client Scheduling for Semi-Decentralized Federated Learning. Gangqiang Hu, Jianfeng Lu, Jianmin Han, Shuqin Cao, Jing Liu, Hao Fu |
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| 2025 | TSDF-Based Efficient Motion-Compensated Temporal Interpolation for 3D Dynamic Sequences. Soowoong Kim, Minseong Kwon, Junho Choi, Gun Bang, Seungjoon Yang |
| 2025 | TSGAN: Temporal Social Graph Attention Network for Aggressive Behavior Forecasting. Swapnil Mane, Suman Kundu, Rajesh Sharma |
| 2025 | TSVC: Tripartite Learning with Semantic Variation Consistency for Robust Image-Text Retrieval. Shuai Lyu, Zijing Tian, Zhonghong Ou, Yifan Zhu, Xiao Zhang, Qiankun Ha, Haoran Luo, Meina Song |
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| 2025 | TTE: Two Tokens Are Enough to Improve Parameter-Efficient Tuning. Jiacheng Ruan, Mingye Xie, Jingsheng Gao, Xian Gao, Suncheng Xiang, Ting Liu, Yuzhuo Fu |
| 2025 | Tab-Shapley: Identifying Top-k Tabular Data Quality Insights. Manisha Padala, Lokesh Nagalapatti, Atharv Tyagi, Ramasuri Narayanam, Shiv Kumar Saini |
| 2025 | TabGLM: Tabular Graph Language Model for Learning Transferable Representations Through Multi-Modal Consistency Minimization. Anay Majee, Maria Xenochristou, Wei-Peng Chen |
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| 2025 | Target-Driven Distillation: Consistency Distillation with Target Timestep Selection and Decoupled Guidance. Cunzheng Wang, Ziyuan Guo, Yuxuan Duan, Huaxia Li, Nemo Chen, Xu Tang, Yao Hu |
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| 2025 | Task-level Distributionally Robust Optimization for Large Language Model-based Dense Retrieval. Guangyuan Ma, Yongliang Ma, Xing Wu, Zhenpeng Su, Ming Zhou, Songlin Hu |
| 2025 | Taylor Series-Inspired Local Structure Fitting Network for Few-shot Point Cloud Semantic Segmentation. Changshuo Wang, Shuting He, Xiang Fang, Meiqing Wu, Siew-Kei Lam, Prayag Tiwari |
| 2025 | TdAttenMix: Top-Down Attention Guided Mixup. Zhiming Wang, Lin Gu, Feng Lu |
| 2025 | Teacher-guided Edge Discriminator for Personalized Graph Masked Autoencoder. Qiqi Zhang, Chao Li, Zhongying Zhao |
| 2025 | Teaching Models to Improve on Tape. Liat Bezalel, Eyal Orgad, Amir Globerson |
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| 2025 | Temporal Action Localization with Cross Layer Task Decoupling and Refinement. Qiang Li, Di Liu, Jun Kong, Sen Li, Hui Xu, Jianzhong Wang |
| 2025 | Temporal Causal Reasoning with (Non-Recursive) Structural Equation Models. Maksim Gladyshev, Natasha Alechina, Mehdi Dastani, Dragan Doder, Brian Logan |
| 2025 | Temporal Coherent Object Flow for Multi-Object Tracking. Zikai Song, Run Luo, Lintao Ma, Ying Tang, Yi-Ping Phoebe Chen, Junqing Yu, Wei Yang |
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| 2025 | Temporal Streaming Batch Principal Component Analysis for Time Series Classification (Student Abstract). Enshuo Yan, Huachuan Wang, Weihao Xia |
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| 2025 | Text and Image Are Mutually Beneficial: Enhancing Training-Free Few-Shot Classification with CLIP. Yayuan Li, Jintao Guo, Lei Qi, Wenbin Li, Yinghuan Shi |
| 2025 | Text to Point Cloud Localization with Multi-Level Negative Contrastive Learning. Dunqiang Liu, Shujun Huang, Wen Li, Siqi Shen, Cheng Wang |
| 2025 | Text-Diffusion Red-Teaming of Large Language Models: Unveiling Harmful Behaviors with Proximity Constraints. Jonathan Nöther, Adish Singla, Goran Radanovic |
| 2025 | Text-Guided Fine-grained Counterfactual Inference for Short Video Fake News Detection. Linlin Zong, Wenmin Lin, Jiahui Zhou, Xinyue Liu, Xianchao Zhang, Bo Xu, Shimin Wu |
| 2025 | Text-Guided Nonverbal Enhancement Based on Modality-Invariant and -Specific Representations for Video Speaking Style Recognition. Beibei Zhang, Tongwei Ren, Gangshan Wu |
| 2025 | Text2Data: Low-Resource Data Generation with Textual Control. Shiyu Wang, Yihao Feng, Tian Lan, Ning Yu, Yu Bai, Ran Xu, Huan Wang, Caiming Xiong, Silvio Savarese |
| 2025 | Text2Relight: Creative Portrait Relighting with Text Guidance. Junuk Cha, Mengwei Ren, Krishna Kumar Singh, He Zhang, Yannick Hold-Geoffroy, Seunghyun Yoon, Hyunjoon Jung, Jae Shin Yoon, Seungryul Baek |
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| 2025 | TextRefiner: Internal Visual Feature as Efficient Refiner for Vision-Language Models Prompt Tuning. Jingjing Xie, Yuxin Zhang, Jun Peng, Zhaohong Huang, Liujuan Cao |
| 2025 | TextToucher: Fine-Grained Text-to-Touch Generation. Jiahang Tu, Hao Fu, Fengyu Yang, Hanbin Zhao, Chao Zhang, Hui Qian |
| 2025 | Textualize Visual Prompt for Image Editing via Diffusion Bridge. Pengcheng Xu, Qingnan Fan, Fei Kou, Shuai Qin, Hong Gu, Ruoyu Zhao, Charles Ling, Boyu Wang |
| 2025 | Textured Mesh Saliency: Bridging Geometry and Texture for Human Perception in 3D Graphics. Kaiwei Zhang, Dandan Zhu, Xiongkuo Min, Guangtao Zhai |
| 2025 | The (Exact) Price of Cardinality for Indivisible Goods: A Parametric Perspective. Alexander Lam, Bo Li, Ankang Sun |
| 2025 | The AI Race: Why Current Neural Network-based Architectures are a Poor Basis for Artificial General Intelligence. Jérémie Sublime |
| 2025 | The Adaptive Q-Network for Recommendation Tasks with Dynamic Item Space. Jianxiang Zhu, Dandan Lai, Zhongcui Ma, Yaxin Peng |
| 2025 | The Bandit Whisperer: Communication Learning for Restless Bandits. Yunfan Zhao, Tonghan Wang, Dheeraj Mysore Nagaraj, Aparna Taneja, Milind Tambe |
| 2025 | The Complexity of Extending Fair Allocations of Indivisible Goods. Argyrios Deligkas, Eduard Eiben, Robert Ganian, Tiger-Lily Goldsmith, Stavros D. Ioannidis |
| 2025 | The Cost Perspective of Liquid Democracy: Feasibility and Control. Shiri Alouf-Heffetz, Lukasz Janeczko, Grzegorz Lisowski, Georgios Papasotiropoulos |
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| 2025 | The Essentials of AI for Life and Society: An AI Literacy Course for the University Community. Joydeep Biswas, Don Fussell, Peter Stone, Kristin Patterson, Kristen Procko, Lea Sabatini, Zifan Xu |
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| 2025 | The Indoor-Training Effect: Unexpected Gains from Distribution Shifts in the Transition Function. Serena Bono, Spandan Madan, Ishaan Grover, Mao Yasueda, Cynthia Breazeal, Hanspeter Pfister, Gabriel Kreiman |
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| 2025 | The Partially Observable Off-Switch Game. Andrew Garber, Rohan Subramani, Linus Luu, Mark Bedaywi, Stuart Russell, Scott Emmons |
| 2025 | The Pitfalls of "Security by Obscurity" and What They Mean for Transparent AI. Peter Hall, Olivia Mundahl, Sunoo Park |
| 2025 | The Surprising Effectiveness of Infinite-Width NTKs for Characterizing and Improving Model Training. Joshua DeOliveira, Walter Gerych, Elke A. Rundensteiner |
| 2025 | The Unreasonable Effectiveness of Open Science in AI: A Replication Study. Odd Erik Gundersen, Odd Cappelen, Martin Mølnå, Nicklas Grimstad Nilsen |
| 2025 | The VOROS: Lifting ROC Curves to 3D to Summarize Unbalanced Classifier Performance. Christopher Ratigan, Lenore Cowen |
| 2025 | The Value of Recall in Extensive-Form Games. Ratip Emin Berker, Emanuel Tewolde, Ioannis Anagnostides, Tuomas Sandholm, Vincent Conitzer |
| 2025 | Thermal-Aware Low-Light Image Enhancement: A Real-World Benchmark and a New Light-Weight Model. Zhen Wang, Yaozu Wu, Dongyuan Li, Shiyin Tan, Zhishuai Yin |
| 2025 | Thin-Plate Spline-based Interpolation for Animation Line Inbetweening. Tianyi Zhu, Wei Shang, Dongwei Ren |
| 2025 | Things Machine Learning Models Know That They Don't Know. Salvatore Ruggieri, Andrea Pugnana |
| 2025 | Thinking Racial Bias in Fair Forgery Detection: Models, Datasets and Evaluations. Decheng Liu, Zongqi Wang, Chunlei Peng, Nannan Wang, Ruimin Hu, Xinbo Gao |
| 2025 | Thinking in Granularity: Dynamic Quantization for Image Super-Resolution by Intriguing Multi-Granularity Clues. Mingshen Wang, Zhao Zhang, Feng Li, Ke Xu, Kang Miao, Meng Wang |
| 2025 | Thirty-Ninth AAAI Conference on Artificial Intelligence, Thirty-Seventh Conference on Innovative Applications of Artificial Intelligence, Fifteenth Symposium on Educational Advances in Artificial Intelligence, AAAI 2025, Philadelphia, PA, USA, February 25 - March 4, 2025 Toby Walsh, Julie Shah, Zico Kolter |
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| 2025 | Threshold UCT: Cost-Constrained Monte Carlo Tree Search with Pareto Curves. Martin Kurecka, Václav Nevyhostený, Petr Novotný, Vít Uncovský |
| 2025 | Through the Dual-Prism: A Spectral Perspective on Graph Data Augmentation for Graph Classifications. Yutong Xia, Runpeng Yu, Yuxuan Liang, Xavier Bresson, Xinchao Wang, Roger Zimmermann |
| 2025 | Till the Layers Collapse: Compressing a Deep Neural Network Through the Lenses of Batch Normalization Layers. Zhu Liao, Nour Hezbri, Victor Quétu, Van-Tam Nguyen, Enzo Tartaglione |
| 2025 | Tilted Quantile Gradient Updates for Quantile-Constrained Reinforcement Learning. Chenglin Li, Guangchun Ruan, Hua Geng |
| 2025 | Time Series Supplier Allocation via Deep Black-Litterman Model. Xinke Jiang, Wentao Zhang, Yuchen Fang, Xiaowei Gao, Hao Chen, Haoyu Zhang, Dingyi Zhuang, Jiayuan Luo |
| 2025 | TimeCAP: Learning to Contextualize, Augment, and Predict Time Series Events with Large Language Model Agents. Geon Lee, Wenchao Yu, Kijung Shin, Wei Cheng, Haifeng Chen |
| 2025 | TimeCHEAT: A Channel Harmony Strategy for Irregularly Sampled Multivariate Time Series Analysis. Jiexi Liu, Meng Cao, Songcan Chen |
| 2025 | TimeCMA: Towards LLM-Empowered Multivariate Time Series Forecasting via Cross-Modality Alignment. Chenxi Liu, Qianxiong Xu, Hao Miao, Sun Yang, Lingzheng Zhang, Cheng Long, Ziyue Li, Rui Zhao |
| 2025 | TimeDP: Learning to Generate Multi-Domain Time Series with Domain Prompts. Yu-Hao Huang, Chang Xu, Yueying Wu, Wu-Jun Li, Jiang Bian |
| 2025 | TimePFN: Effective Multivariate Time Series Forecasting with Synthetic Data. Ege Onur Taga, Muhammed Emrullah Ildiz, Samet Oymak |
| 2025 | Times2D: Multi-Period Decomposition and Derivative Mapping for General Time Series Forecasting. Reza Nematirad, Anil Pahwa, Balasubramaniam Natarajan |
| 2025 | TinyFoA: Memory Efficient Forward-Only Algorithm for On-Device Learning. Baichuan Huang, Amir Aminifar |
| 2025 | TinySAM: Pushing the Envelope for Efficient Segment Anything Model. Han Shu, Wenshuo Li, Yehui Tang, Yiman Zhang, Yihao Chen, Houqiang Li, Yunhe Wang, Xinghao Chen |
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| 2025 | To Predict or Not to Predict? Proportionally Masked Autoencoders for Tabular Data Imputation. Jungkyu Kim, Kibok Lee, Taeyoung Park |
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| 2025 | TokenMatcher: Diverse Tokens Matching for Unsupervised Visible-Infrared Person Re-Identification. Xiao Wang, Lekai Liu, Bin Yang, Mang Ye, Zheng Wang, Xin Xu |
| 2025 | Tokenization, Fusion, and Augmentation: Towards Fine-grained Multi-modal Entity Representation. Yichi Zhang, Zhuo Chen, Lingbing Guo, Yajing Xu, Binbin Hu, Ziqi Liu, Wen Zhang, Huajun Chen |
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| 2025 | Towards Autonomous Network Management: AI-Driven Framework for Intelligent Log Analysis, Troubleshooting and Documentation. Shaghayegh Shajarian |
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| 2025 | Towards Efficient Collaboration via Graph Modeling in Reinforcement Learning. Wenzhe Fan, Zishun Yu, Chengdong Ma, Changye Li, Yaodong Yang, Xinhua Zhang |
| 2025 | Towards Efficient Low-Order Hybrid Optimizer for Language Model Fine-Tuning. Minping Chen, You-Liang Huang, Zeyi Wen |
| 2025 | Towards Efficient Object Re-Identification with a Novel Cloud-Edge Collaborative Framework. Chuanming Wang, Yuxin Yang, Mengshi Qi, Huanhuan Zhang, Huadong Ma |
| 2025 | Towards Efficient and Intelligent Laser Weeding: Method and Dataset for Weed Stem Detection. Dingning Liu, Jinzhe Li, Haoyang Su, Bei Cui, Zhihui Wang, Qingbo Yuan, Wanli Ouyang, Nanqing Dong |
| 2025 | Towards Enhancing Road Safety in South Carolina Using Insights from Traffic and Driver-Education Data (Student Abstract). Nitin Gupta, Bharath Muppasani, Saina Srivastava, Aarohi Goel, Ross Hartfield, Todd Buehrig, Melissa Reck, Emma Kennedy, Kevin Poore, Karilyn Tremblay, Biplav Srivastava, Lucas Vasconcelos |
| 2025 | Towards Generalizable Multi-Camera 3D Object Detection via Perspective Rendering. Hao Lu, Yunpeng Zhang, Guoqing Wang, Qing Lian, Dalong Du, Ying-Cong Chen |
| 2025 | Towards Global-Topology Relation Graph for Inductive Knowledge Graph Completion. Ling Ding, Lei Huang, Zhizhi Yu, Di Jin, Dongxiao He |
| 2025 | Towards Learnable Anchor for Deep Multi-View Clustering. Bocheng Wang, Chusheng Zeng, Mulin Chen, Xuelong Li |
| 2025 | Towards Loss-Resilient Image Coding for Unstable Satellite Networks. Hongwei Sha, Muchen Dong, Quanyou Luo, Ming Lu, Hao Chen, Zhan Ma |
| 2025 | Towards Macro-AUC Oriented Imbalanced Multi-Label Continual Learning. Yan Zhang, Guoqiang Wu, Bingzheng Wang, Teng Pang, Haoliang Sun, Yilong Yin |
| 2025 | Towards More Discriminative Feature Learning in SNNs with Temporal-Self-Erasing Supervision. Wei Liu, Li Yang, Mingxuan Zhao, Dengfeng Xue, Shuxun Wang, Boyu Cai, Jin Gao, Wenjuan Li, Bing Li, Weiming Hu |
| 2025 | Towards Multimodal Sentiment Analysis via Hierarchical Correlation Modeling with Semantic Distribution Constraints. Qinfu Xu, Yiwei Wei, Chunlei Wu, Leiquan Wang, Shaozu Yuan, Jie Wu, Jing Lu, Hengyang Zhou |
| 2025 | Towards Open-Vocabulary Remote Sensing Image Semantic Segmentation. Chengyang Ye, Yunzhi Zhuge, Pingping Zhang |
| 2025 | Towards Practical Classical Planning Compilations of Numeric Planning. Luigi Bonassi, Francesco Percassi, Enrico Scala |
| 2025 | Towards Precise Prediction Uncertainty in GNNs: Refining GNNs with Topology-grouping Strategy. Hyunjin Seo, Kyusung Seo, Joonhyung Park, Eunho Yang |
| 2025 | Towards Projected and Incremental Pseudo-Boolean Model Counting. Suwei Yang, Kuldeep S. Meel |
| 2025 | Towards Real-Time Approximate Counting. Yash Pote, Kuldeep S. Meel, Jiong Yang |
| 2025 | Towards Realistic Semi-supervised Medical Image Classification. Wenxue Li, Lie Ju, Feilong Tang, Peng Xia, Xinyu Xiong, Ming Hu, Lei Zhu, Zongyuan Ge |
| 2025 | Towards Robust Knowledge Unlearning: An Adversarial Framework for Assessing and Improving Unlearning Robustness in Large Language Models. Hongbang Yuan, Zhuoran Jin, Pengfei Cao, Yubo Chen, Kang Liu, Jun Zhao |
| 2025 | Towards Robust Visual Question Answering via Prompt-Driven Geometric Harmonization. Yishu Liu, Jiawei Zhu, Congcong Wen, Guangming Lu, Hui Lin, Bingzhi Chen |
| 2025 | Towards Robust, Efficient, and Practical Decision-Making: From Reward-Maximizing Deep Reinforcement Learning to Reward-Matching GFlowNets. Ling Pan |
| 2025 | Towards Runtime Analysis of Population-Based Co-evolutionary Algorithms on Sparse Binary Zero-Sum Game. Per Kristian Lehre, Shishen Lin |
| 2025 | Towards Scalable and Deep Graph Neural Networks via Noise Masking. Yuxuan Liang, Wentao Zhang, Zeang Sheng, Ling Yang, Quanqing Xu, Jiawei Jiang, Yunhai Tong, Bin Cui |
| 2025 | Towards Scientific Discovery with Generative AI: Progress, Opportunities, and Challenges. Chandan K. Reddy, Parshin Shojaee |
| 2025 | Towards Ship License Plate Recognition in the Wild: A Large Benchmark and Strong Baseline. Baolong Liu, Ruiqing Yang, Roukai Huang, Wenhao Xu, Xin Pan, Chuanhuang Li, Bin Wang, Xun Wang, Jianfeng Dong |
| 2025 | Towards S²-Challenges Underlying LLM-Based Augmentation for Personalized News Recommendation. Shicheng Wang, Hengzhu Tang, Li Gao, Shu Guo, Suqi Cheng, Junfeng Wang, Dawei Yin, Tingwen Liu, Lihong Wang |
| 2025 | Towards Trustable SHAP Scores. Olivier Létoffé, Xuanxiang Huang, João Marques-Silva |
| 2025 | Towards Trustworthy Knowledge Graph Reasoning: An Uncertainty Aware Perspective. Bo Ni, Yu Wang, Lu Cheng, Erik Blasch, Tyler Derr |
| 2025 | Towards Trustworthy Machine Learning Under Distribution Shifts. Jun Wu |
| 2025 | Towards Trustworthy, Efficient, and Scalable Machine Learning. Yezi Liu |
| 2025 | Towards Unbiased Information Extraction and Adaptation in Cross-Domain Recommendation. Yibo Wang, Yingchun Jian, Wenhao Yang, Shiyin Lu, Lei Shen, Bing Wang, Xiaoyi Zeng, Lijun Zhang |
| 2025 | Towards Unifying Evaluation of Counterfactual Explanations: Leveraging Large Language Models for Human-Centric Assessments. Marharyta Domnich, Julius Välja, Rasmus Moorits Veski, Giacomo Magnifico, Kadi Tulver, Eduard Barbu, Raul Vicente |
| 2025 | Towards Universal Rainy Image Restoration: Benchmark and Baseline. Hujie Yan |
| 2025 | Towards Verifiable Text Generation with Generative Agent. Bin Ji, Huijun Liu, Mingzhe Du, Shasha Li, Xiaodong Liu, Jun Ma, Jie Yu, See-Kiong Ng |
| 2025 | Towards a Comprehensive, Efficient and Promptable Anatomic Structure Segmentation Model Using 3D Whole-Body CT Scans. Heng Guo, Jianfeng Zhang, Jiaxing Huang, Tony C. W. Mok, Dazhou Guo, Ke Yan, Le Lu, Dakai Jin, Minfeng Xu |
| 2025 | Towards a Multimodal Large Language Model with Pixel-Level Insight for Biomedicine. Xiaoshuang Huang, Lingdong Shen, Jia Liu, Fangxin Shang, Hongxiang Li, Haifeng Huang, Yehui Yang |
| 2025 | Towards a Theory of AI Personhood. Francis Rhys Ward |
| 2025 | Towards an AI Course Based on Neural Networks. Michael Wollowski |
| 2025 | Toy-GS: Assembling Local Gaussians for Precisely Rendering Large-Scale Free Camera Trajectories. Xiaohan Zhang, Zhenyu Sun, Yukui Qiu, Junyan Su, Qi Liu |
| 2025 | Track the Answer: Extending TextVQA from Image to Video with Spatio-Temporal Clues. Yan Zhang, Gangyan Zeng, Huawen Shen, Daiqing Wu, Yu Zhou, Can Ma |
| 2025 | TrackGo: A Flexible and Efficient Method for Controllable Video Generation. Haitao Zhou, Chuang Wang, Rui Nie, Jinlin Liu, Dongdong Yu, Qian Yu, Changhu Wang |
| 2025 | Tracking Everything Everywhere across Multiple Cameras. Li-Heng Wang, YuJu Cheng, Tyng-Luh Liu |
| 2025 | Tracking and Identifying International Propaganda and Influence Networks Online. Hans W. A. Hanley |
| 2025 | Trade-Offs Between Information and Crowding in Sequential Decisions (Student Abstract). Daniel Hall, Jon M. Kleinberg |
| 2025 | Trading Off Quality and Uncertainty Through Multi-Objective Optimisation in Batch Bayesian Optimisation. Chao Jiang, Miqing Li |
| 2025 | Tradutor: Building a Variety Specific Translation Model. Hugo O. Sousa, Satya Almasian, Ricardo Campos, Alípio Mário Jorge |
| 2025 | Traffic Scenario Logic: A Spatial-Temporal Logic for Modeling and Reasoning of Urban Traffic Scenarios. Ruolin Wang, Yuejiao Xu, Jianmin Ji |
| 2025 | Training Consistent Mixture-of-Experts-Based Prompt Generator for Continual Learning. Yue Lu, Shizhou Zhang, De Cheng, Guoqiang Liang, Yinghui Xing, Nannan Wang, Yanning Zhang |
| 2025 | Training Deep Neural Networks with Virtual Smoothing Classes. Zhiyang Zhou, Siwei Wei, Xudong Zhang, Wensheng Dou, Muzi Qu, Yan Cai |
| 2025 | Training Matting Models Without Alpha Labels. Wenze Liu, Zixuan Ye, Hao Lu, Zhiguo Cao, Xiangyu Yue |
| 2025 | Training Recurrent Neural Networks with Inherent Missing Data for Wearable Device Applications (Student Abstract). Sutashu Tomonaga, Haruo Mizutani, Kenji Doya |
| 2025 | Training Verification-Friendly Neural Networks via Neuron Behavior Consistency. Zongxin Liu, Zhe Zhao, Fu Song, Jun Sun, Pengfei Yang, Xiaowei Huang, Lijun Zhang |
| 2025 | Training on the Benchmark Is Not All You Need. Shiwen Ni, Xiangtao Kong, Chengming Li, Xiping Hu, Ruifeng Xu, Jia Zhu, Min Yang |
| 2025 | Training with "Paraphrasing the Original Text" Teaches LLM to Better Retrieve in Long-Context Tasks. Yijiong Yu, Yongfeng Huang, Zhixiao Qi, Zhe Zhou |
| 2025 | Training-Free Image Manipulation Localization Using Diffusion Models. Zhenfei Zhang, Ming-Ching Chang, Xin Li |
| 2025 | Training-Free and Hardware-Friendly Acceleration for Diffusion Models via Similarity-based Token Pruning. Evelyn Zhang, Jiayi Tang, Xuefei Ning, Linfeng Zhang |
| 2025 | Training-and-Prompt-Free General Painterly Harmonization via Zero-Shot Disentenglement on Style and Content References. Teng-Fang Hsiao, Bo-Kai Ruan, Hong-Han Shuai |
| 2025 | Training-free Open-Vocabulary Semantic Segmentation via Diverse Prototype Construction and Sub-region Matching. Xuanpu Zhao, Dianmo Sheng, Zhentao Tan, Zhiwei Zhao, Tao Gong, Qi Chu, Bin Liu, Nenghai Yu |
| 2025 | TranSplat: Generalizable 3D Gaussian Splatting from Sparse Multi-View Images with Transformers. Chuanrui Zhang, Yingshuang Zou, Zhuoling Li, Minmin Yi, Haoqian Wang |
| 2025 | Transfer Learning Meets Functional Linear Regression: No Negative Transfer Under Posterior Drift. Xiaoyu Hu, Zhenhua Lin |
| 2025 | Transfer Learning in Financial Time Series with Gramian Angular Field (Student Abstract). Hou-Wan Long, On-In Ho, Qi-Qiao He, Yain-Whar Si |
| 2025 | Transfer Learning of Real Image Features with Soft Contrastive Loss for Fake Image Detection. Ziyou Liang, Weifeng Liu, Run Wang, Mengjie Wu, Boheng Li, Yuyang Zhang, Lina Wang, Xinyi Yang |
| 2025 | Transferable Adversarial Face Attack with Text Controlled Attribute. Wenyun Li, Zheng Zhang, Xiangyuan Lan, Dongmei Jiang |
| 2025 | Transformer Layers as Painters. Qi Sun, Marc Pickett, Aakash Kumar Nain, Llion Jones |
| 2025 | Transforming Healthcare Decision Making Using Artificial Intelligence. Shengpu Tang |
| 2025 | Transtreaming: Adaptive Delay-aware Transformer for Real-time Streaming Perception. Xiang Zhang, Yufei Cui, Chenchen Fu, Zihao Wang, Yuyang Sun, Xue Liu, Weiwei Wu |
| 2025 | Treasures in Discarded Weights for LLM Quantization. Hao Yu, Yang Zhou, Bohua Chen, Zelan Yang, Shen Li, Yong Li, Jianxin Wu |
| 2025 | TreeEval: Benchmark-Free Evaluation of Large Language Models through Tree Planning. Xiang Li, Yunshi Lan, Chao Yang |
| 2025 | Tri-Ergon: Fine-Grained Video-to-Audio Generation with Multi-Modal Conditions and LUFS Control. Bingliang Li, Fengyu Yang, Yuxin Mao, Qingwen Ye, Hongkai Chen, Yiran Zhong |
| 2025 | Trigger3: Refining Query Correction via Adaptive Model Selector. Kepu Zhang, Zhongxiang Sun, Xiao Zhang, Xiaoxue Zang, Kai Zheng, Yang Song, Jun Xu |
| 2025 | TrojanDec: Data-free Detection of Trojan Inputs in Self-supervised Learning. Yupei Liu, Yanting Wang, Jinyuan Jia |
| 2025 | Truncated Gaussian Policy for Debiased Continuous Control. Ganghun Lee, Minji Kim, Minsu Lee, Byoung-Tak Zhang |
| 2025 | Trust-GRS: A Trustworthy Training Framework for Graph Neural Network Based Recommender Systems Against Shilling Attacks. Lingyu Mu, Zhengxiao Liu, Zhitong Zhu, Zheng Lin |
| 2025 | TrustUQA: A Trustful Framework for Unified Structured Data Question Answering. Wen Zhang, Long Jin, Yushan Zhu, Jiaoyan Chen, Zhiwei Huang, Junjie Wang, Yin Hua, Lei Liang, Huajun Chen |
| 2025 | Trusted Unified Feature-Neighborhood Dynamics for Multi-View Classification. Haojian Huang, Chuanyu Qin, Zhe Liu, Kaijing Ma, Jin Chen, Han Fang, Chao Ban, Hao Sun, Zhongjiang He |
| 2025 | Trustworthy AI Meets Educational Assessment: Challenges and Opportunities. Sheng Li |
| 2025 | Trustworthy and Practical AI for Healthcare: A Guided Deferral System with Large Language Models. Joshua Strong, Qianhui Men, J. Alison Noble |
| 2025 | Truth Behind the Scene: Designing Evaluations Benchmarks to Assess LLMs' Task-Specific Understanding over Test-Taking Strategies. Thao Pham |
| 2025 | Tuning-Free Accountable Intervention for LLM Deployment - a Metacognitive Approach. Zhen Tan, Jie Peng, Song Wang, Lijie Hu, Tianlong Chen, Huan Liu |
| 2025 | Two Sides of the Same Coin: Learning the Backdoor to Remove the Backdoor. Qi Zhao, Christian Wressnegger |
| 2025 | Two-Timescale Critic-Actor for Average Reward MDPs with Function Approximation. Prashansa Panda, Shalabh Bhatnagar |
| 2025 | Two-stream Beats One-stream: Asymmetric Siamese Network for Efficient Visual Tracking. Jiawen Zhu, Huayi Tang, Xin Chen, Xinying Wang, Dong Wang, Huchuan Lu |
| 2025 | Twofold Debiasing Enhances Fine-Grained Learning with Coarse Labels. Xin-Yang Zhao, Jian Jin, Yang-Yang Li, Yazhou Yao |
| 2025 | U-KAN Makes Strong Backbone for Medical Image Segmentation and Generation. Chenxin Li, Xinyu Liu, Wuyang Li, Cheng Wang, Hengyu Liu, Yifan Liu, Zhen Chen, Yixuan Yuan |
| 2025 | UACOF: A USV-AUV Collaboration Framework for Underwater Tasks Under Extreme Sea Conditions (Student Abstract). Jingzehua Xu, Guanwen Xie, Yimian Ding, Yongming Zeng, Haoyu Wang, Shuai Zhang |
| 2025 | UAWTrack: Universal 3D Single Object Tracking in Adverse Weather. Yuxiang Yang, Hongjie Gu, Yingqi Deng, Zhekang Dong, Zhiwei He, Jing Zhang |
| 2025 | UCF-Crime-DVS: A Novel Event-Based Dataset for Video Anomaly Detection with Spiking Neural Networks. Yuanbin Qian, Shuhan Ye, Chong Wang, Xiaojie Cai, Jiangbo Qian, Jiafei Wu |
| 2025 | UFID: A Unified Framework for Black-box Input-level Backdoor Detection on Diffusion Models. Zihan Guan, Mengxuan Hu, Sheng Li, Anil Kumar S. Vullikanti |
| 2025 | UFO: Enhancing Diffusion-Based Video Generation with a Uniform Frame Organizer. Delong Liu, Zhaohui Hou, Mingjie Zhan, Shihao Han, Zhicheng Zhao, Fei Su |
| 2025 | UN-DETR: Promoting Objectness Learning via Joint Supervision for Unknown Object Detection. Haomiao Liu, Hao Xu, Chuhuai Yue, Bo Ma |
| 2025 | UP-Restorer: When Unrolling Meets Prompts for Unified Image Restoration. Minghao Liu, Wenhan Yang, Jinyi Luo, Jiaying Liu |
| 2025 | USDRL: Unified Skeleton-Based Dense Representation Learning with Multi-Grained Feature Decorrelation. Wanjiang Weng, Hongsong Wang, Junbo Wang, Lei He, Guo-Sen Xie |
| 2025 | Ultra-High Resolution Segmentation via Boundary-Enhanced Patch-Merging Transformer. Haopeng Sun, Yingwei Zhang, Lumin Xu, Sheng Jin, Yiqiang Chen |
| 2025 | Ultra-High-Definition Dynamic Multi-Exposure Image Fusion via Infinite Pixel Learning. Xingchi Chen, Zhuoran Zheng, Xuerui Li, Yuying Chen, Shu Wang, Wenqi Ren |
| 2025 | Unaligned Message-Passing and Contextualized-Pretraining for Robust Geo-Entity Resolution. Yuwen Ji, Wenbo Xie, Jiaqi Zhang, Chao Wang, Ning Guo, Lei Shi, Yue Zhang |
| 2025 | Uncertainty-Aware Contrastive Learning with Hard Negative Sampling for Code Search Tasks. Han Liu, Jiaqing Zhan, Qin Zhang |
| 2025 | Uncertainty-Aware Global-View Reconstruction for Multi-View Multi-Label Feature Selection. Pingting Hao, Kunpeng Liu, Wanfu Gao |
| 2025 | Uncertainty-Aware Self-Training for CTC-Based Automatic Speech Recognition. Eungbeom Kim, Kyogu Lee |
| 2025 | Uncertainty-aware Knowledge Tracing. Weihua Cheng, Hanwen Du, Chunxiao Li, Ersheng Ni, Liangdi Tan, Tianqi Xu, Yongxin Ni |
| 2025 | Uncommon Belief in Rationality. Qi Shi, Pavel Naumov |
| 2025 | Uncovering LLM-Generated Code: A Zero-Shot Synthetic Code Detector via Code Rewriting. Tong Ye, Yangkai Du, Tengfei Ma, Lingfei Wu, Xuhong Zhang, Shouling Ji, Wenhai Wang |
| 2025 | Undermining Mental Proof: How AI Can Make Cooperation Harder by Making Thinking Easier. Zachary Wojtowicz, Simon DeDeo |
| 2025 | Understanding Advertisements. Yi Feng, Chuanyi Li, Vincent Ng |
| 2025 | Understanding Annotator Perception: Modeling Psychological Inference from First- and Third-Person Annotations (Student Abstract). Gerard Christopher Yeo, Kokil Jaidka |
| 2025 | Understanding EFX Allocations: Counting and Variants. Tzeh Yuan Neoh, Nicholas Teh |
| 2025 | Understanding Emotional Body Expressions via Large Language Models. Haifeng Lu, Jiuyi Chen, Feng Liang, Mingkui Tan, Runhao Zeng, Xiping Hu |
| 2025 | Understanding GenAI for Teaching and Learning in Secondary Classrooms. Heidi Reichert |
| 2025 | Understanding Individual Agent Importance in Multi-Agent System via Counterfactual Reasoning. Jianming Chen, Yawen Wang, Junjie Wang, Xiaofei Xie, Jun Hu, Qing Wang, Fanjiang Xu |
| 2025 | Understanding K-12 Teachers' Needs for AI Education: A Survey-Based Study. Nazan Bautista, John Femiani, Daniela Inclezan |
| 2025 | Understanding Microtargeting Pattern on Social Media. Tunazzina Islam |
| 2025 | Understanding Unique Behavioral Patterns through Multimodal Analysis of Eye-Hand Coordination in Autistic Children (Student Abstract). Emily Yu |
| 2025 | UniDemoiré: Towards Universal Image Demoiréing with Data Generation and Synthesis. Zemin Yang, Yujing Sun, Xidong Peng, Siu Ming Yiu, Yuexin Ma |
| 2025 | UniDet3D: Multi-dataset Indoor 3D Object Detection. Maksim Kolodiazhnyi, Anna Vorontsova, Matvey Skripkin, Danila Rukhovich, Anton Konushin |
| 2025 | UniFORM: Towards Unified Framework for Anomaly Detection on Graphs. Chuancheng Song, Xixun Lin, Hanyang Shen, Yanmin Shang, Yanan Cao |
| 2025 | UniMuMo: Unified Text, Music, and Motion Generation. Han Yang, Kun Su, Yutong Zhang, Jiaben Chen, Kaizhi Qian, Gaowen Liu, Chuang Gan |
| 2025 | UniPCGC: Towards Practical Point Cloud Geometry Compression via an Efficient Unified Approach. Kangli Wang, Wei Gao |
| 2025 | UniTR: A Unified Framework for Joint Representation Learning of Trajectories and Road Networks. Jie Zhao, Chao Chen, Yuanshao Zhu, Mingyu Deng, Yuxuan Liang |
| 2025 | Unified Coding for Both Human Perception and Generalized Machine Analytics with CLIP Supervision. Kangsheng Yin, Quan Liu, Xuelin Shen, Yulin He, Wenhan Yang, Shiqi Wang |
| 2025 | Unified Graph Neural Networks Pre-training for Multi-domain Graphs. Mingkai Lin, Xiaobin Hong, Wenzhong Li, Sanglu Lu |
| 2025 | Unified Knowledge Maintenance Pruning and Progressive Recovery with Weight Recalling for Large Vision-Language Models. Zimeng Wu, Jiaxin Chen, Yunhong Wang |
| 2025 | Union Is Strength! Unite the Power of LLMs and MLLMs for Chart Question Answering. Jiapeng Liu, Liang Li, Shihao Rao, Xiyan Gao, Weixin Guan, Bing Li, Can Ma |
| 2025 | Universal Domain Adaptive Object Detection via Dual Probabilistic Alignment. Yuanfan Zheng, Jinlin Wu, Wuyang Li, Zhen Chen |
| 2025 | Universal Features Guided Zero-Shot Category-Level Object Pose Estimation. Wentian Qu, Chenyu Meng, Heng Li, Jian Cheng, Cuixia Ma, Hongan Wang, Xiao Zhou, Xiaoming Deng, Ping Tan |
| 2025 | Universal Post-Processing Networks for Joint Optimization of Modules in Task-Oriented Dialogue Systems. Atsumoto Ohashi, Ryuichiro Higashinaka |
| 2025 | Universality of Real Minimal Complexity Reservoir. Robert Simon Fong, Boyu Li, Peter Tino |
| 2025 | Unlearning Concepts in Diffusion Model via Concept Domain Correction and Concept Preserving Gradient. Yongliang Wu, Shiji Zhou, Mingzhuo Yang, Lianzhe Wang, Heng Chang, Wenbo Zhu, Xinting Hu, Xiao Zhou, Xu Yang |
| 2025 | Unleashing the Potential of Large Language Models as Prompt Optimizers: Analogical Analysis with Gradient-based Model Optimizers. Xinyu Tang, Xiaolei Wang, Wayne Xin Zhao, Siyuan Lu, Yaliang Li, Ji-Rong Wen |
| 2025 | Unleashing the Potential of Model Bias for Generalized Category Discovery. Wenbin An, Haonan Lin, Jiahao Nie, Feng Tian, Wenkai Shi, Yaqiang Wu, Qianying Wang, Ping Chen |
| 2025 | Unleashing the Power of Visual Foundation Models for Generalizable Semantic Segmentation. Peiyuan Tang, Xiaodong Zhang, Chunze Yang, Haoran Yuan, Jun Sun, Danfeng Shan, Zijiang James Yang |
| 2025 | Unleashing the Temporal-Spatial Reasoning Capacity of GPT for Training-Free Audio and Language Referenced Video Object Segmentation. Shaofei Huang, Rui Ling, Hongyu Li, Tianrui Hui, Zongheng Tang, Xiaoming Wei, Jizhong Han, Si Liu |
| 2025 | Unlocking Better Closed-Set Alignment Based on Neural Collapse for Open-Set Recognition. Chaohua Li, Enhao Zhang, Chuanxing Geng, Songcan Chen |
| 2025 | Unlocking the Game: Estimating Games in Möbius Representation for Explanation and High-Order Interaction Detection. Majid Mohammadi, Ilaria Tiddi, Annette ten Teije |
| 2025 | Unlocking the Potential of Black-box Pre-trained GNNs for Graph Few-shot Learning. Qiannan Zhang, Shichao Pei, Yuan Fang, Xiangliang Zhang |
| 2025 | Unlocking the Potential of Reverse Distillation for Anomaly Detection. Xinyue Liu, Jianyuan Wang, Biao Leng, Shuo Zhang |
| 2025 | Unlocking the Power of LSTM for Long Term Time Series Forecasting. Yaxuan Kong, Zepu Wang, Yuqi Nie, Tian Zhou, Stefan Zohren, Yuxuan Liang, Peng Sun, Qingsong Wen |
| 2025 | Unlocking the Power of Patch: Patch-Based MLP for Long-Term Time Series Forecasting. Peiwang Tang, Weitai Zhang |
| 2025 | Unpaired Multi-Domain Histopathology Virtual Staining Using Dual Path Prompted Inversion. Bing Xiong, Yue Peng, Ranran Zhang, Fuqiang Chen, Jiaye He, Wenjian Qin |
| 2025 | Unraveling the Influence of Training Data and Internal Structures in Large Language Models for Enhanced Explainability (Student Abstract). Lingfang Li, Procheta Sen |
| 2025 | Unravelling Causal Genetic Biomarkers of Alzheimer's Disease via Neuron to Gene-token Backtracking in Neural Architecture: A Groundbreaking Reverse-Gene-Finder Approach. Victor O. K. Li, Yang Han, Jacqueline C. K. Lam |
| 2025 | Unsupervised Anomaly Detection for Tabular Data Using Deep Noise Evaluation. Wei Dai, Kai Hwang, Jicong Fan |
| 2025 | Unsupervised Audio-Visual Segmentation with Modality Alignment. Swapnil Bhosale, Haosen Yang, Diptesh Kanojia, Jiankang Deng, Xiatian Zhu |
| 2025 | Unsupervised Degradation Representation Aware Transform for Real-World Blind Image Super-Resolution. Sen Chen, Hongying Liu, Chaowei Fang, Fanhua Shang, Yuanyuan Liu, Liang Wan, Dongmei Jiang, Yaowei Wang |
| 2025 | Unsupervised Diffusion-Based Degradation Modeling for Real-World Super-Resolution. Yuying Chen, Mingde Yao, Wenbo Li, Renjing Pei, Jinjing Zhao, Wenqi Ren |
| 2025 | Unsupervised Domain Adaptive Person Search via Dual Self-Calibration. Linfeng Qi, Huibing Wang, Jiqing Zhang, Jinjia Peng, Yang Wang |
| 2025 | Unsupervised Kernel-based Multi-view Feature Selection with Robust Self-representation and Binary Hashing. Rongyao Hu, Jiangzhang Gan, Mengmeng Zhan, Li Li, Mengling Wei |
| 2025 | Unsupervised Photometric-Consistent Depth Estimation from Endoscopic Monocular Video. Shijie Li, Weijun Lin, Qingyuan Xiang, Yunbin Tu, Shitan Asu, Zheng Li |
| 2025 | Unsupervised Region-Based Image Editing of Denoising Diffusion Models. Zixiang Li, Yue Song, Renshuai Tao, Xiaohong Jia, Yao Zhao, Wei Wang |
| 2025 | Unsupervised Self-Prior Embedding Neural Representation for Iterative Sparse-View CT Reconstruction. Xuanyu Tian, Lixuan Chen, Qing Wu, Chenhe Du, Jingjing Shi, Hongjiang Wei, Yuyao Zhang |
| 2025 | Unsupervised Translation of Emergent Communication. Ido Levy, Orr Paradise, Boaz Carmeli, Ron Meir, Shafi Goldwasser, Yonatan Belinkov |
| 2025 | Unveiling Multi-View Anomaly Detection: Intra-view Decoupling and Inter-view Fusion. Kai Mao, Yiyang Lian, Yangyang Wang, Meiqin Liu, Nanning Zheng, Ping Wei |
| 2025 | Unveiling the Impact of Coding Data Instruction Fine-Tuning on Large Language Models Reasoning. Xinlu Zhang, Zhiyu Zoey Chen, Xi Ye, Xianjun Yang, Lichang Chen, William Yang Wang, Linda Ruth Petzold |
| 2025 | Unveiling the Knowledge of CLIP for Training-Free Open-Vocabulary Semantic Segmentation. Yajie Liu, Guodong Wang, Jinjin Zhang, Qingjie Liu, Di Huang |
| 2025 | Unveiling the Threat of Fraud Gangs to Graph Neural Networks: Multi-Target Graph Injection Attacks Against GNN-Based Fraud Detectors. Jinhyeok Choi, Heehyeon Kim, Joyce Jiyoung Whang |
| 2025 | UrBench: A Comprehensive Benchmark for Evaluating Large Multimodal Models in Multi-View Urban Scenarios. Baichuan Zhou, Haote Yang, Dairong Chen, Junyan Ye, Tianyi Bai, Jinhua Yu, Songyang Zhang, Dahua Lin, Conghui He, Weijia Li |
| 2025 | UrbanVLP: Multi-Granularity Vision-Language Pretraining for Urban Socioeconomic Indicator Prediction. Xixuan Hao, Wei Chen, Yibo Yan, Siru Zhong, Kun Wang, Qingsong Wen, Yuxuan Liang |
| 2025 | UrbanWaste: In-the-Bin Dataset for Waste Disposal Inspection with Multi-Granularity Hierarchical Labels. Zhuoqi Ma, Zejun You, Yang Dong, Yukai Liu, Xiyue Gao, Qiguang Miao |
| 2025 | Usage Governance Advisor: From Intent to AI Governance. Elizabeth M. Daly, Seshu Tirupathi, Sean Rooney, Inge Vejsbjerg, Dhaval Salwala, Christopher Giblin, Frank Bagehorn, Luis Garcés-Erice, Peter Urbanetz, Mira L. Wolf-Bauwens |
| 2025 | User Preference Meets Pareto-Optimality in Multi-Objective Bayesian Optimization. Joshua Hang Sai Ip, Ankush Chakrabarty, Ali Mesbah, Diego Romeres |
| 2025 | Using Case Studies to Teach Responsible AI to Industry Practitioners. Julia Stoyanovich, Rodrigo Kreis de Paula, Armanda Lewis, Chloe Zheng |
| 2025 | Using Explainable AI and Hierarchical Planning for Outreach with Robots. Rushang Karia, Jayesh Nagpal, Daksh Dobhal, Pulkit Verma, Rashmeet Kaur Nayyar, Naman Shah, Siddharth Srivastava |
| 2025 | Using Machine Learning to Improve Research in the Agriculture Industry. Devin Wingfield |
| 2025 | Using Next Sentence Prediction to Test ChatGPT's Text Comprehension (Student Abstract). Ojas M. Agarwal, Madelein Villegas, Jack Mostow |
| 2025 | Utilize the Flow Before Stepping into the Same River Twice: Certainty Represented Knowledge Flow for Refusal-Aware Instruction Tuning. Runchuan Zhu, Zhipeng Ma, Jiang Wu, Junyuan Gao, Jiaqi Wang, Dahua Lin, Conghui He |
| 2025 | Utilizing Vision-Language Models for Detection of Leaf-Based Diseases in Tomatoes. James Blossom Eleojo |
| 2025 | Utterance-level Emotion Recognition in Conversation with Conversation-level Supervision. Ximing Li, Yuanchao Dai, Zhiyao Yang, Jinjin Chi, Wanfu Gao, Lin Yuanbo Wu |
| 2025 | V2C-CBM: Building Concept Bottlenecks with Vision-to-Concept Tokenizer. Hangzhou He, Lei Zhu, Xinliang Zhang, Shuang Zeng, Qian Chen, Yanye Lu |
| 2025 | V2Xum-LLM: Cross-Modal Video Summarization with Temporal Prompt Instruction Tuning. Hang Hua, Yunlong Tang, Chenliang Xu, Jiebo Luo |
| 2025 | VA-AR: Learning Velocity-Aware Action Representations with Mixture of Window Attention. Jiangning Wei, Lixiong Qin, Bo Yu, Tianjian Zou, Chuhan Yan, Dandan Xiao, Yang Yu, Lan Yang, Ke Li, Jun Liu |
| 2025 | VCR: A "Cone of Experience" Driven Synthetic Data Generation Framework for Mathematical Reasoning. Sannyuya Liu, Jintian Feng, Xiaoxuan Shen, Shengyingjie Liu, Qian Wan, Jianwen Sun |
| 2025 | VE-Bench: Subjective-Aligned Benchmark Suite for Text-Driven Video Editing Quality Assessment. Shangkun Sun, Xiaoyu Liang, Songlin Fan, Wenxu Gao, Wei Gao |
| 2025 | VEGAS: Towards Visually Explainable and Grounded Artificial Social Intelligence. Hao Li, Hao Fei, Zechao Hu, Zhengwei Yang, Zheng Wang |
| 2025 | VERO: Verification and Zero-Shot Feedback Acquisition for Few-Shot Multimodal Aspect-Level Sentiment Classification. Kai Sun, Hao Wu, Bin Shi, Samuel Mensah, Peng Liu, Bo Dong |
| 2025 | VERSE: Verification-based Self-Play for Code Instructions. Hao Jiang, Qi Liu, Rui Li, Yuze Zhao, Yixiao Ma, Shengyu Ye, Junyu Lu, Yu Su |
| 2025 | VFM-Adapter: Adapting Visual Foundation Models for Dense Prediction with Dynamic Hybrid Operation Mapping. Zheng Chen, Yu Zeng, Zehui Chen, Hongzhi Gao, Lin Chen, Jiaming Liu, Feng Zhao |
| 2025 | VG-TVP: Multimodal Procedural Planning via Visually Grounded Text-Video Prompting. Muhammet Furkan Ilaslan, Ali Köksal, Kevin Qinghong Lin, Burak Satar, Mike Zheng Shou, Qianli Xu |
| 2025 | VHM: Versatile and Honest Vision Language Model for Remote Sensing Image Analysis. Chao Pang, Xingxing Weng, Jiang Wu, Jiayu Li, Yi Liu, Jiaxing Sun, Weijia Li, Shuai Wang, Litong Feng, Gui-Song Xia, Conghui He |
| 2025 | VIoTGPT: Learning to Schedule Vision Tools Towards Intelligent Video Internet of Things. Yaoyao Zhong, Mengshi Qi, Rui Wang, Yuhan Qiu, Yang Zhang, Huadong Ma |
| 2025 | VLScene: Vision-Language Guidance Distillation for Camera-Based 3D Semantic Scene Completion. Meng Wang, Huilong Pi, Ruihui Li, Yunchuan Qin, Zhuo Tang, Kenli Li |
| 2025 | VOILA: Complexity-Aware Universal Segmentation of CT Images by Voxel Interacting with Language. Zishuo Wan, Yu Gao, Wanyuan Pang, Dawei Ding |
| 2025 | VProChart: Answering Chart Question Through Visual Perception Alignment Agent and Programmatic Solution Reasoning. Muye Huang, Lingling Zhang, Han Lai, Wenjun Wu, Xinyu Zhang, Jun Liu |
| 2025 | VQ4DiT: Efficient Post-Training Vector Quantization for Diffusion Transformers. Juncan Deng, Shuaiting Li, Zeyu Wang, Hong Gu, Kedong Xu, Kejie Huang |
| 2025 | VQA4CIR: Boosting Composed Image Retrieval with Visual Question Answering. Chun-Mei Feng, Yang Bai, Tao Luo, Zhen Li, Salman H. Khan, Wangmeng Zuo, Rick Siow Mong Goh, Yong Liu |
| 2025 | VQLTI: Long-Term Tropical Cyclone Intensity Forecasting with Physical Constraints. Xinyu Wang, Lei Liu, Kang Chen, Tao Han, Bin Li, Lei Bai |
| 2025 | VQTalker: Towards Multilingual Talking Avatars Through Facial Motion Tokenization. Tao Liu, Ziyang Ma, Qi Chen, Feilong Chen, Shuai Fan, Xie Chen, Kai Yu |
| 2025 | VRVVC: Variable-Rate NeRF-Based Volumetric Video Compression. Qiang Hu, Houqiang Zhong, Zihan Zheng, Xiaoyun Zhang, Zhengxue Cheng, Li Song, Guangtao Zhai, Yanfeng Wang |
| 2025 | VTG-LLM: Integrating Timestamp Knowledge into Video LLMs for Enhanced Video Temporal Grounding. Yongxin Guo, Jingyu Liu, Mingda Li, Dingxin Cheng, Xiaoying Tang, Dianbo Sui, Qingbin Liu, Xi Chen, Kevin Zhao |
| 2025 | VVRec: Reconstruction Attacks on DL-based Volumetric Video Upstreaming via Latent Diffusion Model with Gamma Distribution. Rui Lu, Bihai Zhang, Dan Wang |
| 2025 | VarCMP: Adapting Cross-Modal Pre-Training Models for Video Anomaly Retrieval. Peng Wu, Wanshun Su, Xiangteng He, Peng Wang, Yanning Zhang |
| 2025 | VarDrop: Enhancing Training Efficiency by Reducing Variate Redundancy in Periodic Time Series Forecasting. Junhyeok Kang, Yooju Shin, Jae-Gil Lee |
| 2025 | Verification of Neural Networks Against Convolutional Perturbations via Parameterised Kernels. Benedikt Brückner, Alessio Lomuscio |
| 2025 | Verifying Proportionality in Temporal Voting. Edith Elkind, Svetlana Obraztsova, Jannik Peters, Nicholas Teh |
| 2025 | VerilogCoder: Autonomous Verilog Coding Agents with Graph-based Planning and Abstract Syntax Tree (AST)-based Waveform Tracing Tool. Chia-Tung Ho, Haoxing Ren, Brucek Khailany |
| 2025 | VersaFusion: A Versatile Diffusion-Based Framework for Fine-Grained Image Editing and Enhancement. Haocun Ye, Xinlong Jiang, Chenlong Gao, Bingyu Wang, Wuliang Huang, Yiqiang Chen |
| 2025 | VersaGen: Unleashing Versatile Visual Control for Text-to-Image Synthesis. Zhipeng Chen, Lan Yang, Yonggang Qi, Honggang Zhang, Kaiyue Pang, Ke Li, Yi-Zhe Song |
| 2025 | ViFactCheck: A New Benchmark Dataset and Methods for Multi-Domain News Fact-Checking In Vietnamese. Tran Thai Hoa, Tran Quang Duy, Khanh Quoc Tran, Kiet Van Nguyen |
| 2025 | ViG: Linear-complexity Visual Sequence Learning with Gated Linear Attention. Bencheng Liao, Xinggang Wang, Lianghui Zhu, Qian Zhang, Chang Huang |
| 2025 | ViPCap: Retrieval Text-Based Visual Prompts for Lightweight Image Captioning. Taewhan Kim, Soeun Lee, Si-Woo Kim, Dong-Jin Kim |
| 2025 | ViPOcc: Leveraging Visual Priors from Vision Foundation Models for Single-View 3D Occupancy Prediction. Yi Feng, Yu Han, Xijing Zhang, Tanghui Li, Yanting Zhang, Rui Fan |
| 2025 | VidChain: Chain-of-Tasks with Metric-based Direct Preference Optimization for Dense Video Captioning. Ji Soo Lee, Jongha Kim, Jeehye Na, Jinyoung Park, Hyunwoo J. Kim |
| 2025 | VidEvent: A Large Dataset for Understanding Dynamic Evolution of Events in Videos. Baoyu Liang, Qile Su, Shoutai Zhu, Yuchen Liang, Chao Tong |
| 2025 | VidSole: A Multimodal Dataset for Joint Kinetics Quantification and Disease Detection with Deep Learning. Archit Kambhamettu, Samantha Snyder, Maliheh Fakhar, Samuel Audia, Ross Miller, Jae Kun Shim, Aniket Bera |
| 2025 | Video Anomaly Detection with Motion and Appearance Guided Patch Diffusion Model. Hang Zhou, Jiale Cai, Yuteng Ye, Yonghui Feng, Chenxing Gao, Junqing Yu, Zikai Song, Wei Yang |
| 2025 | Video Diffusion Models Are Strong Video Inpainter. Minhyeok Lee, Suhwan Cho, Chajin Shin, Jungho Lee, Sunghun Yang, Sangyoun Lee |
| 2025 | Video Repurposing from User Generated Content: A Large-scale Dataset and Benchmark. Yongliang Wu, Wenbo Zhu, Jiawang Cao, Yi Lu, Bozheng Li, Weiheng Chi, Zihan Qiu, Lirian Su, Haolin Zheng, Jay Wu, Xu Yang |
| 2025 | Video Summarization Using Denoising Diffusion Probabilistic Model. Zirui Shang, Yubo Zhu, Hongxi Li, Shuo Yang, Xinxiao Wu |
| 2025 | VideoElevator: Elevating Video Generation Quality with Versatile Text-to-Image Diffusion Models. Yabo Zhang, Yuxiang Wei, Xianhui Lin, Zheng Hui, Peiran Ren, Xuansong Xie, Wangmeng Zuo |
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| 2025 | View Transformation Robustness for Multi-View 3D Object Reconstruction with Reconstruction Error-Guided View Selection. Qi Zhang, Zhouhang Luo, Tao Yu, Hui Huang |
| 2025 | Virtual Nodes Can Help: Tackling Distribution Shifts in Federated Graph Learning. Xingbo Fu, Zihan Chen, Yinhan He, Song Wang, Binchi Zhang, Chen Chen, Jundong Li |
| 2025 | VisRec: A Semi-Supervised Approach to Visibility Data Reconstruction in Radio Astronomy. Ruoqi Wang, Haitao Wang, Qiong Luo, Feng Wang, Hejun Wu |
| 2025 | Vision Transformers Beat WideResNets on Small Scale Datasets Adversarial Robustness. Juntao Wu, Ziyu Song, Xiaoyu Zhang, Shujun Xie, Longxin Lin, Ke Wang |
| 2025 | Vision-Based Generic Potential Function for Policy Alignment in Multi-Agent Reinforcement Learning. Hao Ma, Shijie Wang, Zhiqiang Pu, Siyao Zhao, Xiaolin Ai |
| 2025 | Vision-aware Multimodal Prompt Tuning for Uploadable Multi-source Few-shot Domain Adaptation. Kuanghong Liu, Jin Wang, Kangjian He, Dan Xu, Xuejie Zhang |
| 2025 | Vision-guided Text Mining for Unsupervised Cross-modal Hashing with Community Similarity Quantization. Haozhi Fan, Yuan Cao |
| 2025 | Visual Perturbation for Text-Based Person Search. Pengcheng Zhang, Xiaohan Yu, Xiao Bai, Jin Zheng |
| 2025 | Visual Prompting Upgrades Neural Network Sparsification: A Data-Model Perspective. Can Jin, Tianjin Huang, Yihua Zhang, Mykola Pechenizkiy, Sijia Liu, Shiwei Liu, Tianlong Chen |
| 2025 | Visual Question Answering for Peruvian Cuisine in Regional Spanish. Mariana Risco Cosavalente |
| 2025 | Visual Reinforcement Learning with Residual Action. Zhenxian Liu, Peixi Peng, Yonghong Tian |
| 2025 | Voter Priming Campaigns: Strategies, Equilibria, and Algorithms. Jonathan Shaki, Yonatan Aumann, Sarit Kraus |
| 2025 | Vox-UDA: Voxel-wise Unsupervised Domain Adaptation for Cryo-Electron Subtomogram Segmentation with Denoised Pseudo-Labeling. Haoran Li, Xingjian Li, Jiahua Shi, Huaming Chen, Bo Du, Daisuke Kihara, Johan Barthélemy, Jun Shen, Min Xu |
| 2025 | WEPO: Web Element Preference Optimization for LLM-based Web Navigation. Jiarun Liu, Jia Hao, Chunhong Zhang, Zheng Hu |
| 2025 | WHALE-FL: Wireless and Heterogeneity Aware Latency Efficient Federated Learning over Mobile Devices via Adaptive Subnetwork Scheduling. Huai-an Su, Jiaxiang Geng, Liang Li, Xiaoqi Qin, Yanzhao Hou, Hao Wang, Xin Fu, Miao Pan |
| 2025 | WPMixer: Efficient Multi-Resolution Mixing for Long-Term Time Series Forecasting. Md Mahmuddun Nabi Murad, Mehmet Aktukmak, Yasin Yilmaz |
| 2025 | WST: Wavelet-Based Multi-scale Tuning for Visual Transfer Learning. Jia Zeng, Lan Huang, Kangping Wang |
| 2025 | Walk Wisely on Graph: Knowledge Graph Reasoning with Dual Agents via Efficient Guidance-Exploration. Zijian Wang, Bin Wang, Haifeng Jing, Huayu Li, Hongbo Dou |
| 2025 | Walking the Web of Concept-Class Relationships in Incrementally Trained Interpretable Models. Susmit Agrawal, Deepika Vemuri, Sri Siddarth Chakaravarthy P, Vineeth N. Balasubramanian |
| 2025 | Wasserstein Distance Constraint and Parameter Sparsification for Batched and Iterative Knowledge Editing. Shanbao Qiao, Xuebing Liu, Seung-Hoon Na |
| 2025 | WatE: A Wasserstein t-distributed Embedding Method for Information-enriched Graph Visualization. Minjie Cheng, Dixin Luo, Hongteng Xu |
| 2025 | Watch Out for Your Guidance on Generation! Exploring Conditional Backdoor Attacks against Large Language Models. Jiaming He, Wenbo Jiang, Guanyu Hou, Wenshu Fan, Rui Zhang, Hongwei Li |
| 2025 | Watch Video, Catch Keyword: Context-aware Keyword Attention for Moment Retrieval and Highlight Detection. Sung Jin Um, Dongjin Kim, Sangmin Lee, Jung Uk Kim |
| 2025 | WaterDiffusion: Learning a Prior-involved Unrolling Diffusion for Joint Underwater Saliency Detection and Visual Restoration. Laibin Chang, Yunke Wang, Longxiang Deng, Bo Du, Chang Xu |
| 2025 | WaveLoss: An Adaptive Dynamic Loss for Deep Gait Recognition. Zicheng Wang, Qiuxia Wu |
| 2025 | WaveMixSR-V2: Enhancing Super-resolution with Higher Efficiency (Student Abstract). Pranav Jeevan, Neeraj Nixon, Amit Sethi |
| 2025 | Wavelet-Assisted Multi-Frequency Attention Network for Pansharpening. Jie Huang, Rui Huang, Jinghao Xu, Siran Peng, Yule Duan, Liang-Jian Deng |
| 2025 | Wavelet-Driven Masked Image Modeling: A Path to Efficient Visual Representation. Wenzhao Xiang, Chang Liu, Hongyang Yu, Xilin Chen |
| 2025 | WaveletMixer: A Multi-Resolution Wavelets Based MLP-Mixer for Multivariate Long-Term Time Series Forecasting. Zichi Zhang, Tuan Dung Pham, Yimeng An, Ngoc Phu Doan, Majed Alsharari, Viet-Hung Tran, Anh-Tuan Hoang, Hans Vandierendonck, Son T. Mai |
| 2025 | We Are AI: Taking Control of Technology. Julia Stoyanovich, Armanda Lewis, Eric Corbett, Lucius E. J. Bynum, Lucas Rosenblatt, Falaah Arif Khan |
| 2025 | Weak Strategyproofness in Randomized Social Choice. Felix Brandt, Patrick Lederer |
| 2025 | Weakly Supervised Gland Segmentation with Class Semantic Consistency and Purified Labels Filtration. Siyang Feng, Huadeng Wang, Chu Han, Zhenbing Liu, Hualong Zhang, Rushi Lan, Xipeng Pan |
| 2025 | Weapon Activity Recognition. Kennedy Hecker |
| 2025 | WebPilot: A Versatile and Autonomous Multi-Agent System for Web Task Execution with Strategic Exploration. Yao Zhang, Zijian Ma, Yunpu Ma, Zhen Han, Yu Wu, Volker Tresp |
| 2025 | Weighted Embeddings for Low-Dimensional Graph Representation. Thomas Bläsius, Jean-Pierre von der Heydt, Maximilian Katzmann, Nikolai Maas |
| 2025 | Weighted Poisson-disk Resampling on Large-Scale Point Clouds. Xianhe Jiao, Chenlei Lv, Junli Zhao, Ran Yi, Yu-Hui Wen, Zhenkuan Pan, Zhongke Wu, Yong-Jin Liu |
| 2025 | Welfare-Optimal Serial Dictatorships Have Polynomial Query Complexity. Ioannis Caragiannis, Kurt Mehlhorn, Nidhi Rathi |
| 2025 | What Are Step-Level Reward Models Rewarding? Counterintuitive Findings from MCTS-Boosted Mathematical Reasoning. Yiran Ma, Zui Chen, Tianqiao Liu, Mi Tian, Zhuo Liu, Zitao Liu, Weiqi Luo |
| 2025 | What Can Youth Learn About Artificial Intelligence and Machine Learning in One Hour? Examining How Hour of Code Activities Address the Five Big Ideas of AI. Luis Morales-Navarro, Yasmin B. Kafai, Eric Yang, Asep Suryana |
| 2025 | What Do Machine Learning Researchers Mean by "Reproducible"? Edward Raff, Michel Benaroch, Sagar Samtani, Andrew L. Farris |
| 2025 | What Is a Good Question? Assessing Question Quality via Meta-Fact Checking. Bo Zhang, Jianghua Zhu, Chaozhuo Li, Hao Yu, Li Kong, Zhan Wang, Dezhuang Miao, Xiaoming Zhang, Junsheng Zhou |
| 2025 | What Kind of Visual Tokens Do We Need? Training-Free Visual Token Pruning for Multi-Modal Large Language Models from the Perspective of Graph. Yutao Jiang, Qiong Wu, Wenhao Lin, Wei Yu, Yiyi Zhou |
| 2025 | What to Preserve and What to Transfer: Faithful, Identity-Preserving Diffusion-based Hairstyle Transfer. Chaeyeon Chung, Sunghyun Park, Jeongho Kim, Jaegul Choo |
| 2025 | When Can We Approximate Wide Contrastive Models with Neural Tangent Kernels and Principal Component Analysis? Gautham Govind Anil, Pascal Mattia Esser, Debarghya Ghoshdastidar |
| 2025 | When Hypergraph Meets Heterophily: New Benchmark Datasets and Baseline. Ming Li, Yongchun Gu, Yi Wang, Yujie Fang, Lu Bai, Xiaosheng Zhuang, Pietro Liò |
| 2025 | When Neutral Summaries Are Not That Neutral: Quantifying Political Neutrality in LLM-Generated News Summaries (Student Abstract). Supriti Vijay, Aman Priyanshu, Ashiqur R. KhudaBukhsh |
| 2025 | When Open-Vocabulary Visual Question Answering Meets Causal Adapter: Benchmark and Approach. Feifei Zhang, Zhaoyi Zhang, Xi Zhang, Changsheng Xu |
| 2025 | When Shadow Removal Meets Intrinsic Image Decomposition: A Joint Learning Framework Using Unpaired Data. Rongjia Zheng, Qing Zhang, Yongwei Nie, Wei-Shi Zheng |
| 2025 | When Should We Prefer State-to-Visual DAgger over Visual Reinforcement Learning? Tongzhou Mu, Zhaoyang Li, Stanislaw Wiktor Strzelecki, Xiu Yuan, Yunchao Yao, Litian Liang, Hao Su |
| 2025 | When Witnesses Defend: A Witness Graph Topological Layer for Adversarial Graph Learning. Naheed Anjum Arafat, Debabrota Basu, Yulia Gel, Yuzhou Chen |
| 2025 | When to Learn and When to Stop: Quitting at the Optimal Time (Student Abstract). Diana Vins, Jean Erik Delanois, Maxim Bazhenov |
| 2025 | Where Precision Meets Efficiency: Transformation Diffusion Model for Point Cloud Registration. Yongzhe Yuan, Yue Wu, Xiaolong Fan, Maoguo Gong, Qiguang Miao, Wenping Ma |
| 2025 | Who's the (Multi-)Fairest of Them All: Rethinking Interpolation-Based Data Augmentation Through the Lens of Multicalibration. Karina Halevy, Karly Hou, Charumathi Badrinath |
| 2025 | Whole Genome Transformer for Gene Interaction Effects in Microbiome Habitat Specificity. Zhufeng Li, Sandeep Suresh Cranganore, Nicholas D. Youngblut, Niki Kilbertus |
| 2025 | Why AI Is WEIRD and Shouldn't Be This Way: Towards AI for Everyone, with Everyone, by Everyone. Rada Mihalcea, Oana Ignat, Longju Bai, Angana Borah, Luis Chiruzzo, Zhijing Jin, Claude Kwizera, Joan Nwatu, Soujanya Poria, Thamar Solorio |
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| 2025 | WiFi CSI Based Temporal Activity Detection via Dual Pyramid Network. Zhendong Liu, Le Zhang, Bing Li, Yingjie Zhou, Zhenghua Chen, Ce Zhu |
| 2025 | WildFake: A Large-Scale and Hierarchical Dataset for AI-Generated Images Detection. Yan Hong, Jianming Feng, Haoxing Chen, Jun Lan, Huijia Zhu, Weiqiang Wang, Jianfu Zhang |
| 2025 | Wills Aligner: Multi-Subject Collaborative Brain Visual Decoding. Guangyin Bao, Qi Zhang, Zixuan Gong, Jialei Zhou, Wei Fan, Kun Yi, Usman Naseem, Liang Hu, Duoqian Miao |
| 2025 | Windowed MAPF with Completeness Guarantees. Rishi Veerapaneni, Muhammad Suhail Saleem, Jiaoyang Li, Maxim Likhachev |
| 2025 | Witty: An Efficient Solver for Computing Minimum-Size Decision Trees. Luca Pascal Staus, Christian Komusiewicz, Frank Sommer, Manuel Sorge |
| 2025 | Word2Vec4Kids: Interactive Challenges to Introduce Middle School Students to Word Embeddings. Nathan Wiatrek, Yash Verma, Fred Martin |
| 2025 | World Knowledge-Enhanced Reasoning Using Instruction-Guided Interactor in Autonomous Driving. Mingliang Zhai, Cheng Li, Zengyuan Guo, Ningrui Yang, Xiameng Qin, Sanyuan Zhao, Junyu Han, Ji Tao, Yuwei Wu, Yunde Jia |
| 2025 | WorldAPIs: The World Is Worth How Many APIs? A Thought Experiment. Jiefu Ou, Arda Uzunoglu, Benjamin Van Durme, Daniel Khashabi |
| 2025 | XCOT: Cross-lingual Instruction Tuning for Cross-lingual Chain-of-Thought Reasoning. Linzheng Chai, Jian Yang, Tao Sun, Hongcheng Guo, Jiaheng Liu, Bing Wang, Xinnian Liang, Jiaqi Bai, Tongliang Li, Qiyao Peng, Zhoujun Li |
| 2025 | XCotton: Advancing AI-Enabled Hardware/Software Integrated System for Foreign Fiber Cleaning. Gaowei Zhang, Wei Wang, Yusheng Peng, Yi Wang |
| 2025 | XTSFormer: Cross-Temporal-Scale Transformer for Irregular-Time Event Prediction in Clinical Applications. Tingsong Xiao, Zelin Xu, Wenchong He, Zhengkun Xiao, Yupu Zhang, Zibo Liu, Shigang Chen, My T. Thai, Jiang Bian, Parisa Rashidi, Zhe Jiang |
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| 2025 | Yuan: Yielding Unblemished Aesthetics Through a Unified Network for Visual Imperfections Removal in Generated Images. Zhenyu Yu, Chee Seng Chan |
| 2025 | Zero-Shot Conditioning of Score-Based Diffusion Models by Neuro-Symbolic Constraints. Davide Scassola, Sebastiano Saccani, Ginevra Carbone, Luca Bortolussi |
| 2025 | Zero-Shot Image Captioning with Multi-type Entity Representations. Delong Zeng, Ying Shen, Man Lin, Zihao Yi, Jiarui Ouyang |
| 2025 | Zero-Shot Learning for Materials Science Texts: Leveraging Duck Typing Principles. Xin Zhang, Peiliang Zhang, Jingling Yuan, Lin Li |
| 2025 | Zero-Shot Learning in Industrial Scenarios: New Large-Scale Benchmark, Challenges and Baseline. Zekai Zhang, Qinghui Chen, Maomao Xiong, Shijiao Ding, Zhanzhi Su, Xinjie Yao, Yiming Sun, Cong Bai, Jinglin Zhang |
| 2025 | Zero-Shot Low-Light Image Enhancement via Latent Diffusion Models. Yan Huang, Xiaoshan Liao, Jinxiu Liang, Yuhui Quan, Boxin Shi, Yong Xu |
| 2025 | Zero-Shot Noise2Mean: Gap Minimization for Efficient Denoising from a Single Noisy Image. Duo Liu, Yiqi Shi, Guoyin Zhang, Sizhao Li, Liguo Zhang |
| 2025 | Zero-Shot Scene Change Detection. Kyusik Cho, Dong Yeop Kim, Euntai Kim |
| 2025 | Zero-resource Hallucination Detection for Text Generation via Graph-based Contextual Knowledge Triples Modeling. Xinyue Fang, Zhen Huang, Zhiliang Tian, Minghui Fang, Ziyi Pan, Quntian Fang, Zhihua Wen, Hengyue Pan, Dongsheng Li |
| 2025 | Zero-shot Depth Completion via Test-time Alignment with Affine-invariant Depth Prior. Lee Hyoseok, Kyeong Seon Kim, Byung-Ki Kwon, Tae-Hyun Oh |
| 2025 | Zero-shot Video Moment Retrieval via Off-the-shelf Multimodal Large Language Models. Yifang Xu, Yunzhuo Sun, Benxiang Zhai, Ming Li, Wenxin Liang, Yang Li, Sidan Du |
| 2025 | Zero-shot Video Restoration and Enhancement Using Pre-Trained Image Diffusion Model. Cong Cao, Huanjing Yue, Xin Liu, Jingyu Yang |
| 2025 | ZeroHAR: Sensor Context Augments Zero-Shot Wearable Action Recognition. Ranak Roy Chowdhury, Ritvik Kapila, Ameya Panse, Xiyuan Zhang, Diyan Teng, Rashmi Kulkarni, Dezhi Hong, Rajesh K. Gupta, Jingbo Shang |
| 2025 | ZeroMamba: Exploring Visual State Space Model for Zero-Shot Learning. Wenjin Hou, Dingjie Fu, Kun Li, Shiming Chen, Hehe Fan, Yi Yang |
| 2025 | Zeroth-Order Methods for Nonconvex Stochastic Problems with Decision-Dependent Distributions. Yuya Hikima, Akiko Takeda |
| 2025 | ZoRI: Towards Discriminative Zero-Shot Remote Sensing Instance Segmentation. Shiqi Huang, Shuting He, Bihan Wen |
| 2025 | dyAb: Flow Matching for Flexible Antibody Design with AlphaFold-driven Pre-binding Antigen. Cheng Tan, Yijie Zhang, Zhangyang Gao, Yufei Huang, Haitao Lin, Lirong Wu, Fandi Wu, Mathieu Blanchette, Stan Z. Li |
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| 2025 | iMoT: Inertial Motion Transformer for Inertial Navigation. Son Minh Nguyen, Duc Viet Le, Paul J. M. Havinga |
| 2025 | k-HyperEdge Medoids for Clustering Ensemble. Feijiang Li, Jieting Wang, Liuya Zhang, Yuhua Qian, Shuai Jin, Tao Yan, Liang Du |
| 2025 | mRNA2vec: mRNA Embedding with Language Model in the 5'UTR-CDS for mRNA Design. Honggen Zhang, Xiangrui Gao, June Zhang, Lipeng Lai |
| 2025 | ml4xcube: Machine Learning Toolkits for Earth System Data Cubes. Julia Peters, Anja Neumann, Marco Jaeger, Lukas Gienapp, Josefine Umlauft |
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| 2025 | scMBERT: A Pre-Trained Deep Learning Model for Single-Cell Multiomic Data Representation and Prediction (Student Abstract). Xiaojian Chen, Kuai Yu, Min-Zhi Jiang, Cihan Xiao, Ziqi Fu, Weiqiang Zhou |
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