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| 2025 | Beyond Low-rankness: Guaranteed Matrix Recovery via Modified Nuclear Norm. Jiangjun Peng, Yisi Luo, Xiangyong Cao, Shuang Xu, Deyu Meng |
| 2025 | Beyond Patterns: Harnessing Causal Logic for Autonomous Driving Trajectory Prediction. Bonan Wang, Haicheng Liao, Chengyue Wang, Bin Rao, Yanchen Guan, Guyang Yu, Jiaxun Zhang, Songning Lai, Chengzhong Xu, Zhenning Li |
| 2025 | Beyond Statistical Analysis: Multimodal Framework for Time Series Forecasting with LLM-Driven Temporal Pattern. Jiahong Xiong, Chengsen Wang, Haifeng Sun, Yuhan Jing, Qi Qi, Zirui Zhuang, Lei Zhang, Jianxin Liao, Jingyu Wang |
| 2025 | Beyond Symmetry in Repeated Games with Restarts. Henry L. Fleischmann, Kiriaki Fragkia, Ratip Emin Berker |
| 2025 | Beyond Winning Strategies: Admissible and Admissible Winning Strategies for Quantitative Reachability Games. Karan Muvvala, Qi Heng Ho, Morteza Lahijanian |
| 2025 | Beyond the Known: Decision Making with Counterfactual Reasoning Decision Transformer. Minh Hoang Nguyen, Linh Le Pham Van, Thommen George Karimpanal, Sunil Gupta, Hung Le |
| 2025 | Beyond the Map: Learning to Navigate Unseen Urban Dynamics Using Diffusion-Guided Deep Reinforcement Learning. Monu Nagar, Debasis Das |
| 2025 | Bi-DiffCD: Bidirectional Diffusion Guided Collaborative Change Detection for Arbitrary-Modal Remote Sensing Images. Jingyu Zhao, Jiahui Qu, Wenqian Dong |
| 2025 | Bidirectional Human-AI Collaboration for Equitable Student Performance Prediction via Deep Uncertainty Learning. Ruohan Zong, Yang Zhang, Lanyu Shang, Frank Stinar, Nigel Bosch, Dong Wang |
| 2025 | Bidirectional Search while Ensuring Meet-In-The-Middle via Effective and Efficient-to-Compute Termination Conditions. Yi Wang, Eyal Weiss, Bingxian Mu, Oren Salzman |
| 2025 | Bimodal Depth-First Search for Scalable GAC for AllDifferent. Sulian Le Bozec-Chiffoleau, Nicolas Beldiceanu, Charles Prud'homme, Gilles Simonin, Xavier Lorca |
| 2025 | BinMetric: A Comprehensive Binary Code Analysis Benchmark for Large Language Models. Xiuwei Shang, Guoqiang Chen, Shaoyin Cheng, Benlong Wu, Li Hu, Gangyang Li, Weiming Zhang, Nenghai Yu |
| 2025 | Binary Event-Driven Spiking Transformer. Honglin Cao, Zijian Zhou, Wenjie Wei, Yu Liang, Ammar Belatreche, Dehao Zhang, Malu Zhang, Yang Yang, Haizhou Li |
| 2025 | Block Circulant Adapter for Large Language Models. Xinyu Ding, Meiqi Wang, Siyu Liao, Zhongfeng Wang |
| 2025 | Boost Embodied AI Models with Robust Compression Boundary. Chong Yu, Tao Chen, Zhongxue Gan |
| 2025 | Boosting Few-Shot Open-Set Object Detection via Prompt Learning and Robust Decision Boundary. Zhaowei Wu, Binyi Su, Qichuan Geng, Hua Zhang, Zhong Zhou |
| 2025 | Boosting Visual Knowledge-Intensive Training for LVLMs Through Causality-Driven Visual Object Completion. Qingguo Hu, Ante Wang, Jia Song, Delai Qiu, Qingsong Liu, Jinsong Su |
| 2025 | Boosting Zero-shot Stereo Matching Using Large-Scale Mixed Images Sources in the Real World. Yuran Wang, Yingping Liang, Ying Fu |
| 2025 | Brain-Inspired Stepwise Patch Merging for Vision Transformers. Yonghao Yu, Dongcheng Zhao, Guobin Shen, Yiting Dong, Yi Zeng |
| 2025 | Breaking the Self-Evaluation Barrier: Reinforced Neuro-Symbolic Planning with Large Language Models. Jie-Jing Shao, Hong-Jie You, Guohao Cai, Quanyu Dai, Zhenhua Dong, Lan-Zhe Guo |
| 2025 | BridgeVoC: Neural Vocoder with Schrödinger Bridge. Tong Lei, Zhiyu Zhang, Rilin Chen, Meng Yu, Jing Lu, Chengshi Zheng, Dong Yu, Andong Li |
| 2025 | Bridging Generative and Discriminative Learning: Few-Shot Relation Extraction via Two-Stage Knowledge-Guided Pre-training. Quanjiang Guo, Jinchuan Zhang, Sijie Wang, Ling Tian, Zhao Kang, Bin Yan, Weidong Xiao |
| 2025 | Bridging Local and Global Knowledge via Transformer in Board Games. Yan-Ru Ju, Tai-Lin Wu, Chung-Chin Shih, Ti-Rong Wu |
| 2025 | CABIN: Debiasing Vision-Language Models Using Backdoor Adjustments. Bo Pang, Tingrui Qiao, Caroline Walker, Chris Cunningham, Yun Sing Koh |
| 2025 | CADP: Towards Better Centralized Learning for Decentralized Execution in MARL. Yihe Zhou, Shunyu Liu, Yunpeng Qing, Tongya Zheng, Kaixuan Chen, Jie Song, Mingli Song |
| 2025 | CADS: A Systematic Literature Review on the Challenges of Abstractive Dialogue Summarization (Abstract Reprint). Frederic Kirstein, Jan Philip Wahle, Bela Gipp, Terry Ruas |
| 2025 | CAM-Based Methods Can See through Walls (Extended Abstract). Magamed Taimeskhanov, Ronan Sicre, Damien Garreau |
| 2025 | CAN-ST: Clustering Adaptive Normalization for Spatio-temporal OOD Learning. Min Yang, Yang An, Jinliang Deng, Xiaoyu Li, Bin Xu, Ji Zhong, Xiankai Lu, Yongshun Gong |
| 2025 | CASA: CNN Autoencoder-based Score Attention for Efficient Multivariate Long-term Time-series Forecasting. Minhyuk Lee, Hyekyung Yoon, Myungjoo Kang |
| 2025 | CD^2: Constrained Dataset Distillation for Few-Shot Class-Incremental Learning. Kexin Bao, Daichi Zhang, Hansong Zhang, Yong Li, Yutao Yue, Shiming Ge |
| 2025 | CFDONEval: A Comprehensive Evaluation of Operator-Learning Neural Network Models for Computational Fluid Dynamics. Menghan Liu, Jianhuan Cen, Ziyang Zhou, Haolong Fan, Hongji Li, Ping Wei, Guohang Peng, Changye He, Yuzhe Qin, Yutong Lu, Qingsong Zou |
| 2025 | CFII-Net: Explicit Class Embeddings and Feature Maps Through Iterative Interaction for Boosting Medical Image Segmentation. Xinyu Zhu, Xiwen Liu, Lianghua He, Yin Wen |
| 2025 | CGI: Identifying Conditional Generative Models with Example Images. Zhi Zhou, Hao-Zhe Tan, Peng-Xiao Song, Lan-Zhe Guo |
| 2025 | CLLMRec: Contrastive Learning with LLMs-based View Augmentation for Sequential Recommendation. Fan Lu, Xiaolong Xu, Haolong Xiang, Lianyong Qi, Xiaokang Zhou, Fei Dai, Wanchun Dou |
| 2025 | CMFS: CLIP-Guided Modality Interaction for Mitigating Noise in Multi-Modal Image Fusion and Segmentation. Guilin Su, Yuqing Huang, Chao Yang, Zhenyu He |
| 2025 | COGRASP: Co-Occurrence Graph Based Stock Price Forecasting. Zhengze Li, Zilin Song, Tingting Yuan, Xiaoming Fu |
| 2025 | COLUR: Confidence-Oriented Learning, Unlearning and Relearning with Noisy-Label Data for Model Restoration and Refinement. Zhihao Sui, Liang Hu, Jian Cao, Usman Naseem, Zhongyuan Lai, Qi Zhang |
| 2025 | CRAFT: Time Series Forecasting with Cross-Future Behavior Awareness. Yingwei Zhang, Ke Bu, Zhuoran Zhuang, Tao Xie, Yao Yu, Dong Li, Yang Guo, Detao Lv |
| 2025 | CSAHFL: Clustered Semi-Asynchronous Hierarchical Federated Learning for Dual-layer Non-IID in Heterogeneous Edge Computing Networks. Aijing Li, Junping Du, Dandan Liu, Yingxia Shao, Tong Zhao, Guanhua Ye |
| 2025 | CSF-GAN: Cross-modal Semantic Fusion-based Generative Adversarial Network for Text-guided Image Inpainting. Shilin Zhang, Suixue Wang, Qingchen Zhang, Liang Zhao, Weiliang Huo, Sijia Hou, Chunjiang Fu |
| 2025 | Can Large Models Teach Student Models to Solve Mathematical Problems Like Human Beings? A Reasoning Distillation Method via Multi-LoRA Interaction. Xinhe Li, Jiajun Liu, Peng Wang |
| 2025 | Can Retelling Have Adequate Information for Reasoning? An Enhancement Method for Imperfect Video Understanding with Large Language Model. Mingxin Li, Wenhao Wang, Hongru Ji, Xianghua Li, Chao Gao |
| 2025 | Can We Translate Code Better with LLMs and Call Graph Analysis? Yang Luo |
| 2025 | Can We Verify Step by Step for Incorrect Answer Detection? Xin Xu, Shizhe Diao, Can Yang, Yang Wang |
| 2025 | Cap-and-Penalize: Competitive Mechanisms for Multi-Phase Regularized Online Allocation. Seyedehkimia Alaviyar, Faraz Zargari, John Tyler, Yunwei Ryan Li, Xiaoqi Tan |
| 2025 | Capturing Individuality and Commonality Between Anchor Graphs for Multi-View Clustering. Zhoumin Lu, Yongbo Yu, Linru Ma, Feiping Nie, Rong Wang |
| 2025 | Categorical Attention: Fine-grained Language-guided Noise Filtering Network for Occluded Person Re-Identification. Minghui Chen, Dayan Wu, Chenxu Yang, Qinghang Su, Zheng Lin |
| 2025 | Category-aware EEG Image Generation Based on Wavelet Transform and Contrast Semantic Loss. Enshang Zhang, Zhicheng Zhang, Takashi Hanakawa |
| 2025 | Causal Learning Meet Covariates: Empowering Lightweight and Effective Nationwide Air Quality Forecasting. Jiaming Ma, Zhiqing Cui, Binwu Wang, Pengkun Wang, Zhengyang Zhou, Zhe Zhao, Yang Wang |
| 2025 | Causal View of Time Series Imputation: Some Identification Results on Missing Mechanism. Ruichu Cai, Kaitao Zheng, Junxian Huang, Zijian Li, Zhengming Chen, Boyan Xu, Zhifeng Hao |
| 2025 | Causal-aware Large Language Models: Enhancing Decision-Making Through Learning, Adapting and Acting. Wei Chen, Jiahao Zhang, Haipeng Zhu, Boyan Xu, Zhifeng Hao, Keli Zhang, Junjian Ye, Ruichu Cai |
| 2025 | Causality-Inspired Disentanglement for Fair Graph Neural Networks. Guixian Zhang, Debo Cheng, Guan Yuan, Shang Liu, Yanmei Zhang |
| 2025 | Cause-Effect Driven Optimization for Robust Medical Visual Question Answering with Language Biases. Huanjia Zhu, Yishu Liu, Xiaozhao Fang, Guangming Lu, Bingzhi Chen |
| 2025 | ChronoFact: Timeline-based Temporal Fact Verification. Anab Maulana Barik, Wynne Hsu, Mong-Li Lee |
| 2025 | Circuit-Aware d-DNNF Compilation. Vincent Derkinderen, Jean-Marie Lagniez |
| 2025 | City-Level Foreign Direct Investment Prediction with Tabular Learning on Judicial Data. Tianxing Wu, Lizhe Cao, Shuang Wang, Jiming Wang, Shutong Zhu, Yerong Wu, Yuqing Feng |
| 2025 | Classifying and Tracking International Aid Contribution Towards SDGs. Sungwon Park, Dongjoon Lee, Kyeongjin Ahn, Yubin Choi, Junho Lee, Meeyoung Cha, Kyung Ryul Park |
| 2025 | Co-Learning of Strategy and Structure Achieves Full Cooperation in Complex Networks with Dynamical Linking. Xiaoqing Fan, Chin-wing Leung, Paolo Turrini |
| 2025 | CoDiCast: Conditional Diffusion Model for Global Weather Forecasting with Uncertainty Quantification. Jimeng Shi, Bowen Jin, Jiawei Han, Sundararaman Gopalakrishnan, Giri Narasimhan |
| 2025 | CoFinDiff: Controllable Financial Diffusion Model for Time Series Generation. Yuki Tanaka, Ryuji Hashimoto, Takehiro Takayanagi, Zhe Piao, Yuri Murayama, Kiyoshi Izumi |
| 2025 | CoLA-Former: Graph Transformer Using Communal Linear Attention for Lightweight Sequential Recommendation. Zhongying Zhao, Jinyu Zhang, Chuanxu Jia, Chao Li, Yanwei Yu, Qingtian Zeng |
| 2025 | Coalition Obstruction Temporal Logic: A New Obstruction Logic to Reason About Demon Coalitions. Davide Catta, Jean Leneutre, Vadim Malvone, James Ortiz |
| 2025 | Code-BT: A Code-Driven Approach to Behavior Tree Generation for Robot Tasks Planning with Large Language Models. Siyang Zhang, Bin Li, Jingtao Qi, Xueying Wang, Fu Li, Jianan Wang, En Zhu, Jinjing Sun |
| 2025 | CoderAgent: Simulating Student Behavior for Personalized Programming Learning with Large Language Models. Yi Zhan, Qi Liu, Weibo Gao, Zheng Zhang, Tianfu Wang, Shuanghong Shen, Junyu Lu, Zhenya Huang |
| 2025 | CogTwin: A Hybrid Cognitive Architecture Framework for Adaptable and Cognitive Digital Twins. Sukanya Mandal, Noel E. O'Connor |
| 2025 | Collaborative Multi-LoRA Experts with Achievement-based Multi-Tasks Loss for Unified Multimodal Information Extraction. Li Yuan, Yi Cai, Xudong Shen, Qing Li, Qingbao Huang, Zikun Deng, Tao Wang |
| 2025 | Combining Code Generating Large Language Models and Self-Play to Iteratively Refine Strategies in Games. Yoram Bachrach, Edan Toledo, Karen Hambardzumyan, Despoina Magka, Martin Josifoski, Minqi Jiang, Jakob N. Foerster, Roberta Raileanu, Tatiana Shavrina, Nicola Cancedda, Avraham Ruderman, Katie Millican, Andrei Lupu, Rishi Hazra |
| 2025 | Combining Deep Reinforcement Learning and Search with Generative Models for Game-Theoretic Opponent Modeling. Zun Li, Marc Lanctot, Kevin R. McKee, Luke Marris, Ian Gemp, Daniel Hennes, Paul Muller, Kate Larson, Yoram Bachrach, Michael P. Wellman |
| 2025 | Combining MORL with Restraining Bolts to Learn Normative Behaviour. Emery A. Neufeld, Agata Ciabattoni, Radu Florin Tulcan |
| 2025 | Coming Out of the Dark: Human Pose Estimation in Low-light Conditions. Yong Su, Defang Chen, Meng Xing, Changjae Oh, Xuewei Liu, Jieyang Li |
| 2025 | Community-Aware Graph Transformer for Brain Disorder Identification. Shengbing Pei, Jiajun Ma, Zhao Lv, Chao Zhang, Jihong Guan |
| 2025 | CompLex: Music Theory Lexicon Constructed by Autonomous Agents for Automatic Music Generation. Zhejing Hu, Yan Liu, Gong Chen, Bruce X. B. Yu |
| 2025 | Comprehensive Review of Neural Differential Equations for Time Series Analysis. YongKyung Oh, Seungsu Kam, Jonghun Lee, Dong-Young Lim, Sungil Kim, Alex A. T. Bui |
| 2025 | Computational Complexity of Planning for Recursive Primitive Task Networks: Selective Action Nullification with State Preservation. Yifan Zhang, Pascal Bercher |
| 2025 | Concentrate on Weakness: Mining Hard Prototypes for Few-Shot Medical Image Segmentation. Jianchao Jiang, Haofeng Zhang |
| 2025 | Concurrent Planning and Execution Using Dispatch-Dependent Values. Andrew Coles, Erez Karpas, Solomon Eyal Shimony, Shahaf S. Shperberg, Wheeler Ruml |
| 2025 | Conditional Causal Representation Learning for Heterogeneous Single-cell RNA Data Integration and Prediction. Jiayi Dong, Jiahao Li, Fei Wang |
| 2025 | Conditional Denoising Meets Polynomial Modeling: A Flexible Decoupled Framework for Time Series Forecasting. Jintao Zhang, Mingyue Cheng, Xiaoyu Tao, Zhiding Liu, Daoyu Wang |
| 2025 | Conditional Independent Test in the Presence of Measurement Error with Causal Structure Learning. Hongbin Zhang, Kezhou Chen, Nankai Lin, Aimin Yang, Zhifeng Hao, Zhengming Chen |
| 2025 | Conditional Information Bottleneck-Based Multivariate Time Series Forecasting. Xinhui Li, Liang Duan, Lixing Yu, Kun Yue, Yuehua Li |
| 2025 | Confidence-based Estimators for Predictive Performance in Model Monitoring (Abstract Reprint). Juhani Kivimäki, Jakub Bialek, Jukka K. Nurminen, Wojtek Kuberski |
| 2025 | Connecting Giants: Synergistic Knowledge Transfer of Large Multimodal Models for Few-Shot Learning. Hao Tang, Shengfeng He, Jing Qin |
| 2025 | Connector-S: A Survey of Connectors in Multi-modal Large Language Models. Xun Zhu, Zheng Zhang, Xi Chen, Yiming Shi, Miao Li, Ji Wu |
| 2025 | Consensus-Guided Incomplete Multi-view Clustering via Cross-view Affinities Learning. Qian Liu, Huibing Wang, Jinjia Peng, Yawei Chen, Mingze Yao, Xianping Fu, Yang Wang |
| 2025 | Consistency-Aware Padding for Incomplete Multi-Modal Alignment Clustering Based on Self-Repellent Greedy Anchor Search. Shubin Ma, Liang Zhao, Mingdong Lu, Yifan Guo, Bo Xu |
| 2025 | Constrained Preferential Bayesian Optimization and Its Application in Banner Ad Design. Koki Iwai, Yusuke Kumagae, Yuki Koyama, Masahiro Hamasaki, Masataka Goto |
| 2025 | Constrained Sequential Inference in Machine Learning Using Constraint Programming. Virasone Manibod, David Saikali, Gilles Pesant |
| 2025 | Constrained Serial Dictatorships Can Be Fair. Sylvain Bouveret, Hugo Gilbert, Jérôme Lang, Guillaume Méroué |
| 2025 | Constructive Conflict-Driven Multi-Agent Reinforcement Learning for Strategic Diversity. Yuxiang Mai, Qiyue Yin, Wancheng Ni, Pei Xu, Kaiqi Huang |
| 2025 | Contamination Budget: Trade-offs Between Breadth, Depth and Difficulty. Behzad Mehrbakhsh, Fernando Martínez-Plumed, José Hernández-Orallo |
| 2025 | ContextAware: A Multi-Agent Framework for Detecting Harmful Image-Based Comments on Social Media. Zheng Wei, Mingchen Li, Pu Zhang, Xinyu Liu, Huamin Qu, Pan Hui |
| 2025 | Continuous Diffusive Prediction Network for Multi-Station Weather Prediction. Chujie Xu, Yuqing Ma, Haoyuan Deng, Yajun Gao, Yudie Wang, Kai Lv, Xianglong Liu |
| 2025 | Continuous-Time Reward Machines. Amin Falah, Shibashis Guha, Ashutosh Trivedi |
| 2025 | Contractions Based on Optimal Repairs (Extended Abstract). Franz Baader, Renata Wassermann |
| 2025 | Contrastive Cross-Course Knowledge Tracing via Concept Graph Guided Knowledge Transfer. WenKang Han, Wang Lin, Liya Hu, Zhenlong Dai, Yiyun Zhou, Mengze Li, Zemin Liu, Chang Yao, Jingyuan Chen |
| 2025 | Contrastive Unlearning: A Contrastive Approach to Machine Unlearning. Hong-Kyu Lee, Qiuchen Zhang, Carl Yang, Jian Lou, Li Xiong |
| 2025 | Control in Computational Social Choice. Jiehua Chen, Joanna Kaczmarek, Paul Nüsken, Jörg Rothe, Ildikó Schlotter, Tessa Seeger |
| 2025 | Conversational Exploration of Literature Landscape with LitChat. Mingyu Huang, Shasha Zhou, Yuxuan Chen, Ke Li |
| 2025 | CorrDetail: Visual Detail Enhanced Self-Correction for Face Forgery Detection. Binjia Zhou, Hengrui Lou, Lizhe Chen, Haoyuan Li, Dawei Luo, Shuai Chen, Jie Lei, Zunlei Feng, Yijun Bei |
| 2025 | Cost-Effective On-Device Sequential Recommendation with Spiking Neural Networks. Di Yu, Changze Lv, Xin Du, Linshan Jiang, Qing Yin, Wentao Tong, Xiaoqing Zheng, Shuiguang Deng |
| 2025 | Counterfactual Explanations Under Model Multiplicity and Their Use in Computational Argumentation. Gianvincenzo Alfano, Adam Gould, Francesco Leofante, Antonio Rago, Francesca Toni |
| 2025 | Counterfactual Explanations for Continuous Action Reinforcement Learning. Shuyang Dong, Shangtong Zhang, Lu Feng |
| 2025 | Counterfactual Knowledge Maintenance for Unsupervised Domain Adaptation. Yao Li, Yong Zhou, Jiaqi Zhao, Wen-Liang Du, Rui Yao, Bing Liu |
| 2025 | Counterfactual Strategies for Markov Decision Processes. Paul Kobialka, Lina Gerlach, Francesco Leofante, Erika Ábrahám, Silvia Lizeth Tapia Tarifa, Einar Broch Johnsen |
| 2025 | Counterfactual Thinking Driven Emotion Regulation for Image Sentiment Recognition. Xinyue Zhang, Zhaoxia Wang, Hailing Wang, Guitao Cao |
| 2025 | Coupling Category Alignment for Graph Domain Adaptation. Nan Yin, Xiao Teng, Zhiguang Cao, Mengzhu Wang |
| 2025 | Creative Momentum Transfer: How Timing and Labeling of AI Suggestions Shape Iterative Human Ideation. Guangrui Fan, Dandan Liu, Lihu Pan, Yishan Huang |
| 2025 | Credit Assignment and Fine-Tuning Enhanced Reinforcement Learning for Collaborative Spatial Crowdsourcing. Wei Chen, Yafei Li, Baolong Mei, Guanglei Zhu, JiaQi Wu, Mingliang Xu |
| 2025 | Credulous Acceptance in High-Order Argumentation Frameworks with Necessities: An Incremental Approach (Abstract Reprint). Gianvincenzo Alfano, Andrea Cohen, Sebastian Gottifredi, Sergio Greco, Francesco Parisi, Guillermo Ricardo Simari |
| 2025 | Critical Node-aware Augmentation for Hypergraph Contrastive Learning. Zhuo Li, Yuena Lin, Yipeng Wang, Wenmao Liu, Mingliang Yu, Zhen Yang, Gengyu Lyu |
| 2025 | Cross-modal Collaborative Representation Learning for Text-to-Image Person Retrieval. Shuanglin Yan, Jun Liu, Neng Dong, Liyan Zhang, Jinhui Tang |
| 2025 | CrossVTON: Mimicking the Logic Reasoning on Cross-Category Virtual Try-On Guided by Tri-Zone Priors. Donghao Luo, Yujie Liang, Xu Peng, Xiaobin Hu, Boyuan Jiang, Chengming Xu, Taisong Jin, Chengjie Wang, Yanwei Fu |
| 2025 | CureGraph: Contrastive Multi-Modal Graph Representation Learning for Urban Living Circle Health Profiling and Prediction (Abstract Reprint). Jinlin Li, Xiao Zhou |
| 2025 | Curriculum Abductive Learning for Mitigating Reasoning Shortcuts. Wen-Da Wei, Xiao-Wen Yang, Jie-Jing Shao, Lan-Zhe Guo |
| 2025 | Curriculum Hierarchical Knowledge Distillation for Bias-Free Survival Prediction. Chaozhuo Li, Zhihao Tang, Mingji Zhang, Zhiquan Liu, Litian Zhang, Xi Zhang |
| 2025 | CycSeq: Leveraging Cyclic Data Generation for Accurate Perturbation Prediction in Single-Cell RNA-Seq. Yicheng Liu, Sai Wu, Tianyun Zhang, Chang Yao, Ning Shen |
| 2025 | Cyclic Vision-Language Manipulator: Towards Reliable and Fine-Grained Image Interpretation for Automated Report Generation. Yingying Fang, Zihao Jin, Shaojie Guo, Jinda Liu, Zhiling Yue, Yijian Gao, Junzhi Ning, Zhi Li, Simon Walsh, Guang Yang |
| 2025 | D3: Diversity, Difficulty, and Dependability-Aware Data Selection for Sample-Efficient LLM Instruction Tuning. Jia Zhang, Chen-Xi Zhang, Yao Liu, Yi-Xuan Jin, Xiao-Wen Yang, Bo Zheng, Yi Liu, Lan-Zhe Guo |
| 2025 | DANCE: Resource-Efficient Neural Architecture Search with Data-Aware and Continuous Adaptation. Maolin Wang, Tianshuo Wei, Sheng Zhang, Ruocheng Guo, Wanyu Wang, Shanshan Ye, Lixin Zou, Xuetao Wei, Xiangyu Zhao |
| 2025 | DASS: A Dual-Branch Attention-based Framework for Trajectory Similarity Learning with Spatial and Semantic Fusion. Jiayi Li, Junhua Fang, Pingfu Chao, Jiajie Xu, Pengpeng Zhao |
| 2025 | DAVE: A Framework for Assisted Analysis of Document Collections in Knowledge-Intensive Domains. Ruben Agazzi, Renzo Arturo Alva Principe, Riccardo Pozzi, Marco Ripamonti, Matteo Palmonari |
| 2025 | DDPA-3DVG: Vision-Language Dual-Decoupling and Progressive Alignment for 3D Visual Grounding. Hongjie Gu, Jinlong Fan, Liang Zheng, Jing Zhang, Yuxiang Yang |
| 2025 | DECASTE: Unveiling Caste Stereotypes in Large Language Models Through Multi-Dimensional Bias Analysis. Prashanth Vijayaraghavan, Soroush Vosoughi, Lamogha Chiazor, Raya Horesh, Rogério Abreu de Paula, Ehsan Degan, Vandana V. Mukherjee |
| 2025 | DERI: Cross-Modal ECG Representation Learning with Deep ECG-Report Interaction. Jian Chen, Xiaoru Dong, Wei Wang, Shaorui Zhou, Lequan Yu, Xiping Hu |
| 2025 | DFCA: Disentangled Feature Contrastive Learning and Augmentation for Fairer Dermatological Diagnostics. Pengcheng Zhao, Xiaowei Ding |
| 2025 | DFMU: Distribution-based Framework for Modeling Aleatoric Uncertainty in Multimodal Sentiment Analysis. Chen Tang, Tingrui Shen, Xinrong Gong, Chong Zhao, Tong Zhang |
| 2025 | DGCPL: Dual Graph Distillation for Concept Prerequisite Relation Learning. Miao Zhang, Jiawei Wang, Jinying Han, Kui Xiao, Zhifei Li, Yan Zhang, Hao Chen, Shihui Wang |
| 2025 | DGExplainer: Explaining Dynamic Graph Neural Networks via Relevance Back-propagation. Yezi Liu, Jiaxuan Xie, Yanning Shen |
| 2025 | DGL: Dynamic Global-Local Information Aggregation for Scalable VRP Generalization with Self-Improvement Learning. Yubin Xiao, Yuesong Wu, Rui Cao, Di Wang, Zhiguang Cao, Xuan Wu, Peng Zhao, Yuanshu Li, You Zhou, Yuan Jiang |
| 2025 | DGraFormer: Dynamic Graph Learning Guided Multi-Scale Transformer for Multivariate Time Series Forecasting. Han Yan, Dongliang Chen, Guiyuan Jiang, Bin Wang, Lei Cao, Junyu Dong, Yanwei Yu |
| 2025 | DHTAGK: Deep Hierarchical Transitive-Aligned Graph Kernels for Graph Classification. Xinya Qin, Lu Bai, Lixin Cui, Ming Li, Ziyu Lyu, Hangyuan Du, Edwin R. Hancock |
| 2025 | DIIN: Diffusion Iterative Implicit Networks for Arbitrary-scale Super-resolution. Tao Dai, Song Wang, Hang Guo, Jianping Wang, Zexuan Zhu |
| 2025 | DL-KDD: Dual-Lightness Knowledge Distillation for Action Recognition in the Dark. Chi-Jui Chang, Oscar Tai-Yuan Chen, Vincent S. Tseng |
| 2025 | DM-POSA: Enhancing Open-World Test-Time Adaptation with Dual-Mode Matching and Prompt-Based Open Set Adaptation. Shiji Zhao, Shao-Yuan Li, Chuanxing Geng, Sheng-Jun Huang, Songcan Chen |
| 2025 | DO-CoLM: Dynamic 3D Conformation Relationships Capture with Self-Adaptive Ordering Molecular Relational Modeling in Language Models. Zhuo Chen, Jiahui Zhang, Sihan Wang, Hongxin Xiang, Jianmin Wang, Wenjie Du, Yang Wang |
| 2025 | DONIS: Importance Sampling for Training Physics-Informed DeepONet. Shudong Huang, Rui Huang, Ming Hu, Wentao Feng, Jiancheng Lv |
| 2025 | DPMamba: Distillation Prompt Mamba for Multimodal Remote Sensing Image Classification with Missing Modalities. Yueguang Yang, Jiahui Qu, Ling Huang, Wenqian Dong |
| 2025 | DToMA: Training-free Dynamic Token MAnipulation for Long Video Understanding. Bowen Yuan, Sisi You, Bing-Kun Bao |
| 2025 | DUQ: Dual Uncertainty Quantification for Text-Video Retrieval. Xin Liu, Shibai Yin, Jun Wang, Jiaxin Zhu, Xingyang Wang, Yee-Hong Yang |
| 2025 | DaringFed: A Dynamic Bayesian Persuasion Pricing for Online Federated Learning Under Two-sided Incomplete Information. Yun Xin, Jianfeng Lu, Shuqin Cao, Gang Li, Haozhao Wang, Guanghui Wen |
| 2025 | Data Poisoning Attack Defense and Evolutionary Domain Adaptation for Federated Medical Image Segmentation. Min Hyuk Kim, Seok Bong Yoo |
| 2025 | Data Void Exploits: Tracking & Mitigation Strategies (Extended Abstract). Miro Mannino, Junior Garcia, Reem Hazim, Azza Abouzied, Paolo Papotti |
| 2025 | Data-Centric AI for Chest X-Ray Analysis in Resource-Constrained Settings. Yasmeena Akhter |
| 2025 | DcDsDiff: Dual-Conditional and Dual-Stream Diffusion Model for Generative Image Tampering Localization. Qixian Hao, Shaozhang Niu, Jiwei Zhang, Kai Wang |
| 2025 | DeCo: Defect-Aware Modeling with Contrasting Matching for Optimizing Task Assignment in Online IC Testing. Lo Pang-Yun Ting, Yu-Hao Chiang, Yi-Tung Tsai, Hsu-Chao Lai, Kun-Ta Chuang |
| 2025 | Decentralized Online Learning by Selfish Agents in Coalition Formation. Saar Cohen, Noa Agmon |
| 2025 | Decision-Aware Preference Modeling for Multi-Behavior Recommendation. Qingfeng Li, Wei Liu, Zaiqiao Meng, Jian Yin |
| 2025 | Decomposing Inconsistencies: Marginal Contributions and Pooling Techniques. Christian Straßer, Badran Raddaoui, Saïd Jabbour |
| 2025 | Deconfounding Multi-Cause Latent Confounders: A Factor-Model Approach to Climate Model Bias Correction. Wentao Gao, Jiuyong Li, Debo Cheng, Lin Liu, Jixue Liu, Thuc Duy Le, Xiaojing Du, Xiongren Chen, Yun Chen, Yanchang Zhao |
| 2025 | Decoupled Imbalanced Label Distribution Learning. Yongbiao Gao, Xiangcheng Sun, Miaogen Ling, Chao Tan, Yi Zhai, Guohua Lv |
| 2025 | Decoupled Search for the Masses: A Novel Task Transformation for Classical Planning (Extended Abstract). David Speck, Daniel Gnad |
| 2025 | Decoupling and Reconstructing: A Multimodal Sentiment Analysis Framework Towards Robustness. Mingzheng Yang, Kai Zhang, Yuyang Ye, Yanghai Zhang, Runlong Yu, Min Hou |
| 2025 | Deduction with Induction: Combining Knowledge Discovery and Reasoning for Interpretable Deep Reinforcement Learning. Haodi Zhang, Xiangyu Zeng, Junyang Chen, Yuanfeng Song, Rui Mao, Fangzhen Lin |
| 2025 | Deep Learning for Multivariate Time Series Imputation: A Survey. Jun Wang, Wenjie Du, Yiyuan Yang, Linglong Qian, Wei Cao, Keli Zhang, Wenjia Wang, Yuxuan Liang, Qingsong Wen |
| 2025 | Deep Learning-Based Pedestrian Simulation with Limited Real-World Training Data: An Evaluation Framework. Vahid Mahzoon, Abigail Liu, Slobodan Vucetic |
| 2025 | Deep Opinion-Unaware Blind Image Quality Assessment by Learning and Adapting from Multiple Annotators. Zhihua Wang, Xuelin Liu, Jiebin Yan, Jie Wen, Wei Wang, Chao Huang |
| 2025 | Deep Reinforcement Learning for Efficient and Fair Allocation of Healthcare Resources. Yikuan Li, Chengsheng Mao, Kaixuan Huang, Hanyin Wang, Zheng Yu, Mengdi Wang, Yuan Luo |
| 2025 | DeepFeatIoT: Unifying Deep Learned, Randomized, and LLM Features for Enhanced IoT Time Series Sensor Data Classification in Smart Industries. Muhammad Sakib Khan Inan, Kewen Liao |
| 2025 | DeepShade: Enable Shade Simulation by Text-conditioned Image Generation. Longchao Da, Xiangrui Liu, Mithun Shivakoti, Thirulogasankar Pranav Kutralingam, Yezhou Yang, Hua Wei |
| 2025 | Denoise-then-Retrieve: Text-Conditioned Video Denoising for Video Moment Retrieval. Weijia Liu, Jiuxin Cao, Bo Miao, Zhiheng Fu, Xuelin Zhu, Jiawei Ge, Bo Liu, Mehwish Nasim, Ajmal Mian |
| 2025 | Denoised Attention and Question-Augmented Representations for Knowledge Tracing. Jiwei Deng, Youheng Bai, Mingliang Hou, Teng Guo, Zitao Liu, Weiqi Luo |
| 2025 | Denoising Diffusion Models are Good General Gaze Feature Learners. Guanzhong Zeng, Jingjing Wang, Pengwei Yin, Zefu Xu, Mingyang Zhou |
| 2025 | DenseSAM: Semantic Enhance SAM for Efficient Dense Object Segmentation. Linyun Zhou, Jiacong Hu, Shengxuming Zhang, Xiangtong Du, Mingli Song, Xiuming Zhang, Zunlei Feng |
| 2025 | DepthART: Monocular Depth Estimation as Autoregressive Refinement Task. Bulat Gabdullin, Nina Konovalova, Nikolay Patakin, Dmitry Senushkin, Anton Konushin |
| 2025 | Detecting Hallucination in Large Language Models Through Deep Internal Representation Analysis. Luan Zhang, Dandan Song, Zhijing Wu, Yuhang Tian, Changzhi Zhou, Jing Xu, Ziyi Yang, Shuhao Zhang |
| 2025 | Detecting Illicit Massage Businesses by Leveraging Graph Machine Learning. Vasuki Garg, Osman Y. Özaltin, Maria E. Mayorga, Sherrie Bosisto |
| 2025 | Detection and Geographic Localization of Natural Objects in the Wild: A Case Study on Palms. Kangning Cui, Rongkun Zhu, Manqi Wang, Wei Tang, Gregory D. Larsen, Victor Paúl Pauca, Sarra M. Alqahtani, Fan Yang, David Segurado, David A. Lutz, Jean-Michel Morel, Miles R. Silman |
| 2025 | Device-Cloud Collaborative Correction for On-Device Recommendation. Tianyu Zhan, Shengyu Zhang, Zheqi Lv, Jieming Zhu, Jiwei Li, Fan Wu, Fei Wu |
| 2025 | Diff-LMM: Diffusion Teacher-Guided Spatio-Temporal Perception for Video Large Multimodal Models. Jisheng Dang, Ligen Chen, Jingze Wu, Ronghao Lin, Bimei Wang, Yun Wang, Liting Wang, Nannan Zhu, Teng Wang |
| 2025 | DiffECG: Diffusion Model-Powered Label-Efficient and Personalized Arrhythmia Diagnosis. Tianren Zhou, Zhenge Jia, Dongxiao Yu, Zhaoyan Shen |
| 2025 | DiffFERV: Diffusion-based Facial Editing of Real Videos. Xiangyi Chen, Han Xue, Li Song |
| 2025 | DiffSQL: Leveraging Diffusion Model for Zero-Shot Self-Supervised Monocular Depth Estimation. Heyuan Zheng, Yunji Liang, Lei Liu, Zhiwen Yu |
| 2025 | Differentiable Prompt Learning for Vision Language Models. Zhenhan Huang, Tejaswini Pedapati, Pin-Yu Chen, Jianxi Gao |
| 2025 | Diffuse&Refine: Intrinsic Knowledge Generation and Aggregation for Incremental Object Detection. Jianzhou Wang, Yirui Wu, Lixin Yuan, Wenxiao Zhang, Jun Liu, Junyang Chen, Huan Wang, Wenhai Wang |
| 2025 | Diffusion Guided Propagation Augmentation for Popularity Prediction. Chaozhuo Li, Tianqi Yang, Litian Zhang, Xi Zhang |
| 2025 | Diffusion-aware Censored Gaussian Processes for Demand Modelling. Filipe Rodrigues |
| 2025 | DiffusionIMU: Diffusion-Based Inertial Navigation with Iterative Motion Refinement. Xiaoqiang Teng, Chenyang Li, Shibiao Xu, Zhihao Hao, Deke Guo, Jingyuan Li, Haisheng Li, Weiliang Meng, Xiaopeng Zhang |
| 2025 | Direct Estimation of Attenuation Information from Sinograms for Positron Emission Tomography Reconstruction. Prabath Hetti Mudiyanselage, Ruwan B. Tennakoon, John Thangarajah, Robert Ware, Jason H. Callahan |
| 2025 | Directing Mamba to Complex Textures: An Efficient Texture-Aware State Space Model for Image Restoration. Long Peng, Xin Di, Zhanfeng Feng, Wenbo Li, Renjing Pei, Yang Wang, Xueyang Fu, Yang Cao, Zheng-Jun Zha |
| 2025 | Dirichlet Process-Based Robust Clustering Using the Median-of-Means Estimator. Supratik Basu, Jyotishka Ray Choudhury, Debolina Paul, Swagatam Das |
| 2025 | DisPIM: Distilling PreTrained Image Models for Generalizable Visuo-Motor Control. Haitao Wang, Hejun Wu |
| 2025 | Disconfounding Fake News Video Explanation with Causal Inference. Lizhi Chen, Zhong Qian, Peifeng Li, Qiaoming Zhu |
| 2025 | Discrete Budget Aggregation: Truthfulness and Proportionality. Ulrike Schmidt-Kraepelin, Warut Suksompong, Markus Utke |
| 2025 | Disentangled and Personalized Representation Learning for Next Point-of-Interest Recommendation. Xuan Rao, Shuo Shang, Lisi Chen, Renhe Jiang, Peng Han |
| 2025 | Disentangling Multi-view Representations via Curriculum Learning with Learnable Prior. Kai Guo, Jiedong Wang, Xi Peng, Peng Hu, Hao Wang |
| 2025 | Distance Preservation Games. Haris Aziz, Hau Chan, Patrick Lederer, Shivika Narang, Toby Walsh |
| 2025 | Distilling A Universal Expert from Clustered Federated Learning. Zeqi Leng, Chunxu Zhang, Guodong Long, Riting Xia, Bo Yang |
| 2025 | Distributed Cascaded Manifold Hashing Network for Compact Image Set Representation. Xiaxin Wang, Haoyu Cai, Xiaobo Shen, Xia Wu |
| 2025 | Distribution-Aware Online Learning for Urban Spatiotemporal Forecasting on Streaming Data. Chengxin Wang, Gary Tan, Swagato Barman Roy, Beng Chin Ooi |
| 2025 | Diversity-Aware Reinforcement Learning for de novo Drug Design. Hampus Gummesson Svensson, Christian Tyrchan, Ola Engkvist, Morteza Haghir Chehreghani |
| 2025 | Divide and Conquer: Coordinating Multiplex Mixture of Graph Learners to Handle Multi-Omics Analysis. Zhihao Wu, Jielong Lu, Jiajun Yu, Sheng Zhou, Yueyang Pi, Haishuai Wang |
| 2025 | Dividing Conflicting Items Fairly. Ayumi Igarashi, Pasin Manurangsi, Hirotaka Yoneda |
| 2025 | Do Mentioned Items Truly Matter? Enhancing Conversational Recommender Systems with Causal Intervention and Large Language Models. Lingzhi Wang, Xingshan Zeng, Kam-Fai Wong |
| 2025 | Do You Steal My Model? Signature Diffusion Embedded Dual-Verification Watermarking for Protecting Intellectual Property of Hyperspectral Image Classification Models. Yufei Yang, Song Xiao, Lixiang Li, Wenqian Dong, Jiahui Qu |
| 2025 | Domain Prompt Learning with Quaternion Networks (Extended Abstract). Qinglong Cao, Zhengqin Xu, Yuntian Chen, Chao Ma, Xiaokang Yang |
| 2025 | Drafting and Revision: Advancing High-Fidelity Video Inpainting. Zhiliang Wu, Kun Li, Hehe Fan, Yi Yang |
| 2025 | DriftRemover: Hybrid Energy Optimizations for Anomaly Images Synthesis and Segmentation. Siyue Yao, Haotian Xu, Mingjie Sun, Siyue Yu, Jimin Xiao, Eng Gee Lim |
| 2025 | Dual Encoder Contrastive Learning with Augmented Views for Graph Anomaly Detection. Nannan Wu, Hongdou Dong, Wenjun Wang, Yiming Zhao |
| 2025 | Dual Robust Unbiased Multi-View Clustering for Incomplete and Unpaired Information. Liang Zhao, Ziyue Wang, Chuanye He, Qingchen Zhang, Bo Xu |
| 2025 | Dual-Agent Reinforcement Learning for Automated Feature Generation. Wanfu Gao, Zengyao Man, Hanlin Pan, Kunpeng Liu |
| 2025 | Dual-Balancing for Physics-Informed Neural Networks. Chenhong Zhou, Jie Chen, Zaifeng Yang, Ching Eng Png |
| 2025 | Dual-Perspective United Transformer for Object Segmentation in Optical Remote Sensing Images. Yanguang Sun, Jiexi Yan, Jianjun Qian, Chunyan Xu, Jian Yang, Lei Luo |
| 2025 | Dual-level Fuzzy Learning with Patch Guidance for Image Ordinal Regression. Chunlai Dong, Haochao Ying, Qibo Qiu, Jinhong Wang, Danny Z. Chen, Jian Wu |
| 2025 | DualCast: A Model to Disentangle Aperiodic Events from Traffic Series. Xinyu Su, Feng Liu, Yanchuan Chang, Egemen Tanin, Majid Sarvi, Jianzhong Qi |
| 2025 | Dyn-D^2P: Dynamic Differentially Private Decentralized Learning with Provable Utility Guarantee. Zehan Zhu, Yan Huang, Xin Wang, Shouling Ji, Jinming Xu |
| 2025 | Dynamic Anchor-based Ensemble Clustering via Hypergraph Reconstruction. Jiaxuan Xu, Lei Duan, Xinye Wang, Liang Du |
| 2025 | Dynamic Higher-Order Relations and Event-Driven Temporal Modeling for Stock Price Forecasting. Kijeong Park, Sungchul Hong, Jong-June Jeon |
| 2025 | Dynamic Multiple High-order Correlations Fusion with Noise Filtering for Incomplete Multi-view Noisy-label Learning. Kaixiang Wang, Xiaojian Ding, Fan Yang |
| 2025 | Dynamic Network Discovery via Infection Tracing. Ben Bals, Michelle Döring, Nicolas Klodt, George Skretas |
| 2025 | Dynamic Replanning for Improved Public Transport Routing. Abdallah Abu-Aisha, Bojie Shen, Daniel Damir Harabor, Peter J. Stuckey, Mark Wallace |
| 2025 | Dynamic Seed-GrowthCM: A Dynamic Benefit-Oriented Algorithm for Core Maximization on Large Graphs. Dongyuan Ma, Dongxiao He, Xin Huang |
| 2025 | Dynamic and Adaptive Feature Generation with LLM. Xinhao Zhang, Jinghan Zhang, Banafsheh Rekabdar, Yuanchun Zhou, Pengfei Wang, Kunpeng Liu |
| 2025 | EAVIT: Efficient and Accurate Human Value Identification From Text Data via LLMs. Wenhao Zhu, Yuhang Xie, Guojie Song, Xin Zhang |
| 2025 | ECC-SNN: Cost-Effective Edge-Cloud Collaboration for Spiking Neural Networks. Di Yu, Changze Lv, Xin Du, Linshan Jiang, Wentao Tong, Zhenyu Liao, Xiaoqing Zheng, Shuiguang Deng |
| 2025 | ECG2TOK: ECG Pre-Training with Self-Distillation Semantic Tokenizers. Xiaoyan Yuan, Wei Wang, Han Liu, Jian Chen, Xiping Hu |
| 2025 | EDGE: Efficient Data Selection for LLM Agents via Guideline Effectiveness. Yunxiao Zhang, Guanming Xiong, Haochen Li, Wen Zhao |
| 2025 | EDyGS: Event Enhanced Dynamic 3D Radiance Fields from Blurry Monocular Video. Mengxu Lu, Zehao Chen, Yan Liu, De Ma, Huajin Tang, Qian Zheng, Gang Pan |
| 2025 | EF1 and EFX Orientations. Argyrios Deligkas, Eduard Eiben, Tiger-Lily Goldsmith, Viktoriia Korchemna |
| 2025 | EFX Feasible Scheduling for Time-dependent Resources. Jiazhu Fang, Qizhi Fang, Minming Li, Wenjing Liu |
| 2025 | EFormer: An Effective Edge-based Transformer for Vehicle Routing Problems. Dian Meng, Zhiguang Cao, Yaoxin Wu, Yaqing Hou, Hongwei Ge, Qiang Zhang |
| 2025 | ESBN: Estimation Shift of Batch Normalization for Source-free Universal Domain Adaptation. Jiao Li, Houcheng Su, Bingli Wang, Yuandong Min, Mengzhu Wang, Nan Yin, Shanshan Wang, Jingcai Guo |
| 2025 | EVICheck: Evidence-Driven Independent Reasoning and Combined Verification Method for Fact-Checking. Lingxiao Wang, Lei Shi, Feifei Kou, Ligu Zhu, Chen Ma, Pengfei Zhang, Mingying Xu, Zeyu Li |
| 2025 | Early Detection of Patient Deterioration from Real-Time Wearable Monitoring System. Lo Pang-Yun Ting, Hong-Pei Chen, An-Shan Liu, Chun-Yin Yeh, Po-Lin Chen, Kun-Ta Chuang |
| 2025 | EchoGPT: An Interactive Cardiac Function Assessment Model for Echocardiogram Videos. Bo Xu, Quanhao Zhu, Qingchen Zhang, Mengmeng Wang, Liang Zhao, Hongfei Lin, Jing Ren, Feng Xia |
| 2025 | Efficient Algorithms for Electing Successive Committees. Pallavi Jain, Andrzej Kaczmarczyk |
| 2025 | Efficient Constraint-based Window Causal Graph Discovery in Time Series with Multiple Time Lags. Yewei Xia, Yixin Ren, Hong Cheng, Hao Zhang, Jihong Guan, Minchuan Xu, Shuigeng Zhou |
| 2025 | Efficient Counterexample-Guided Fairness Verification and Repair of Neural Networks Using Satisfiability Modulo Convex Programming. Arya Fayyazi, Yifeng Xiao, Pierluigi Nuzzo, Massoud Pedram |
| 2025 | Efficient Differentiable Approximation of Generalized Low-rank Regularization. Naiqi Li, Yuqiu Xie, Peiyuan Liu, Tao Dai, Yong Jiang, Shutao Xia |
| 2025 | Efficient Diversity-based Experience Replay for Deep Reinforcement Learning. Kaiyan Zhao, Yiming Wang, Yuyang Chen, Yan Li, Leong Hou U, Xiaoguang Niu |
| 2025 | Efficient Dynamic Ensembling for Multiple LLM Experts. Jinwu Hu, Yufeng Wang, Shuhai Zhang, Kai Zhou, Guohao Chen, Yu Hu, Bin Xiao, Mingkui Tan |
| 2025 | Efficient Dynamic Graphs Learning with Refined Batch Parallel Training. ZhengZhao Feng, Rui Wang, Longjiao Zhang, Tongya Zheng, Ziqi Huang, Mingli Song |
| 2025 | Efficient Hi-Fi Style Transfer via Statistical Attention and Modulation. Zhirui Fang, Yi Li, Xin Xie, Chengyan Li, Yanqing Guo |
| 2025 | Efficient Inter-Operator Scheduling for Concurrent Recommendation Model Inference on GPU. Shuxi Guo, Zikang Xu, Jiahao Liu, Jinyi Zhang, Qi Qi, Haifeng Sun, Jun Huang, Jianxin Liao, Jingyu Wang |
| 2025 | Efficient Multi-view Clustering via Reinforcement Contrastive Learning. Qianqian Wang, Haiming Xu, Zihao Zhang, Zhiqiang Tao, Quanxue Gao |
| 2025 | Efficient Quantum Approximate kNN Algorithm via Granular-Ball Computing. Shuyin Xia, Xiaojiang Tian, Suzhen Yuan, Jeremiah D. Deng |
| 2025 | Efficient Rectification of Neuro-Symbolic Reasoning Inconsistencies by Abductive Reflection (Extended Abstract). Wen-Chao Hu, Wang-Zhou Dai, Yuan Jiang, Zhi-Hua Zhou |
| 2025 | Efficient Visual Representation Learning with Heat Conduction Equation. Zhemin Zhang, Xun Gong |
| 2025 | Efficient and Rigorous Model-Agnostic Explanations. João Marques-Silva, Jairo A. Lefebre-Lobaina, Maria Vanina Martinez |
| 2025 | EfficientPIE: Real-Time Prediction on Pedestrian Crossing Intention with Sole Observation. Fang Qu, Pengzhan Zhou, Yuepeng He, Kaixin Gao, Youyu Luo, Xin Feng, Yu Liu, Songtao Guo |
| 2025 | Egocentric Object-Interaction Anticipation with Retentive and Predictive Learning. Guo Chen, Yifei Huang, Yin-Dong Zheng, Yicheng Liu, Jiahao Wang, Tong Lu |
| 2025 | ElaD-Net: An Elastic Semantic Decoupling Network for Lesion Segmentation in Breast Ultrasound Images. Lijuan Xu, Kai Wang, Fuqiang Yu, Fenghua Tong, Mengran Li, Dawei Zhao |
| 2025 | Electron Density-enhanced Molecular Geometry Learning. Hongxin Xiang, Jun Xia, Xin Jin, Wenjie Du, Li Zeng, Xiangxiang Zeng |
| 2025 | Emerging Advances in Learned Video Compression: Models, Systems and Beyond. Chuanmin Jia, Feng Ye, Siwei Ma, Wen Gao, Huifang Sun, Leonardo Chiariglione |
| 2025 | Empowering LLMs with Logical Reasoning: A Comprehensive Survey. Fengxiang Cheng, Haoxuan Li, Fenrong Liu, Robert van Rooij, Kun Zhang, Zhouchen Lin |
| 2025 | Empowering Multimodal Road Traffic Profiling with Vision Language Models and Frequency Spectrum Fusion. Haolong Xiang, Xiaolong Xu, Guangdong Wang, Xuyun Zhang, Xiaoyong Li, Qi Zhang, Amin Beheshti, Wei Fan |
| 2025 | Empowering Quantum Serverless Circuit Deployment Optimization via Graph Contrastive Learning and Learning-to-Rank Co-designed Approaches. Tingting Li, Ziming Zhao, Jianwei Yin |
| 2025 | Empowering Vision Transformers with Multi-Scale Causal Intervention for Long-Tailed Image Classification. Xiaoshuo Yan, Zhaochuan Li, Lei Meng, Zhuang Qi, Wei Wu, Zixuan Li, Xiangxu Meng |
| 2025 | Endogenous Recovery via Within-modality Prototypes for Incomplete Multimodal Hashing. Sa Zhu, Dayan Wu, Chenming Wu, Pengwen Dai, Bo Li |
| 2025 | Endowing Interpretability for Neural Cognitive Diagnosis by Efficient Kolmogorov-Arnold Networks. Shangshang Yang, Linrui Qin, Xiaoshan Yu, Ziwen Wang, Xueming Yan, Haiping Ma, Ye Tian |
| 2025 | EnergyCompress: A General Case Base Learning Strategy. Fadi Badra, Esteban Marquer, Marie-Jeanne Lesot, Miguel Couceiro, David Leake |
| 2025 | Enhanced Graph Similarity Learning via Adaptive Multi-scale Feature Fusion. Cuifang Zou, Guangquan Lu, Wenzhen Zhang, Xuxia Zeng, Shilong Lin, Longqing Du, Shichao Zhang |
| 2025 | Enhanced Unsupervised Discriminant Dimensionality Reduction for Nonlinear Data. Qianqian Wang, Mengping Jiang, Wei Feng, Zhengming Ding |
| 2025 | Enhancing Automated Grading in Science Education through LLM-Driven Causal Reasoning and Multimodal Analysis. Haohao Zhu, Tingting Li, Peng He, Jiayu Zhou |
| 2025 | Enhancing Chemical Reaction and Retrosynthesis Prediction with Large Language Model and Dual-task Learning. Xuan Lin, Qingrui Liu, Hongxin Xiang, Daojian Zeng, Xiangxiang Zeng |
| 2025 | Enhancing Counterfactual Estimation: A Focus on Temporal Treatments. Xin Wang, Shengfei Lyu, Kangyang Luo, Lishan Yang, Huanhuan Chen, Chunyan Miao |
| 2025 | Enhancing Long-Tail Bundle Recommendations Utilizing Composition Pattern Modeling. Tianhui Ma, Shuyao Wang, Zhi Zheng, Hui Xiong |
| 2025 | Enhancing Mixture of Experts with Independent and Collaborative Learning for Long-Tail Visual Recognition. Yanhao Chen, Zhongquan Jian, Nianxin Ke, Shuhao Hu, Junjie Jiao, Qingqi Hong, Qingqiang Wu |
| 2025 | Enhancing Multimodal Model Robustness Under Missing Modalities via Memory-Driven Prompt Learning. Yihan Zhao, Wei Xi, Xiao Fu, Jizhong Zhao |
| 2025 | Enhancing Multimodal Protein Function Prediction Through Dual-Branch Dynamic Selection with Reconstructive Pre-Training. Xiaoling Luo, Peng Chen, Chengliang Liu, Xiaopeng Jin, Jie Wen, Yumeng Liu, Junsong Wang |
| 2025 | Enhancing Nighttime Semantic Segmentation with Visual-Linguistic Priors and Wavelet Transform. Jianhou Zhou, Xiaolong Zhou, Sixian Chan, Zhaomin Chen, Xiaoqin Zhang |
| 2025 | Enhancing Online Climate Discourse: A Two-Stage Framework for Climate Content Categorization and Moderation. Apoorva Upadhyaya, Wolfgang Nejdl, Marco Fisichella |
| 2025 | Enhancing Portfolio Optimization via Heuristic-Guided Inverse Reinforcement Learning with Multi-Objective Reward and Graph-based Policy Learning. Wenyi Zhang, Renjun Jia, Yanhao Wang, Dawei Cheng, Minghao Zhao, Cen Chen |
| 2025 | Enhancing Sampling Protocol for Point Cloud Classification Against Corruptions. Chongshou Li, Pin Tang, Tianrui Li, Yuheng Liu, Xinke Li |
| 2025 | Enhancing Semantic Clarity: Discriminative and Fine-grained Information Mining for Remote Sensing Image-Text Retrieval. Yu Liu, Haipeng Chen, Yuheng Liang, Yuheng Yang, Xun Yang, Yingda Lyu |
| 2025 | Enhancing Table Recognition with Vision LLMs: A Benchmark and Neighbor-Guided Toolchain Reasoner. Yitong Zhou, Mingyue Cheng, Qingyang Mao, Jiahao Wang, Feiyang Xu, Xin Li |
| 2025 | Enhancing Transferability of Audio Adversarial Example for Both Frequency- and Time-domain. Zilin Tian, Yunfei Long, Liguo Zhang, Jiahong Zhao |
| 2025 | Enhancing User-Oriented Proactivity in Open-Domain Dialogues with Critic Guidance. Yufeng Wang, Jinwu Hu, Ziteng Huang, Kunyang Lin, Zitian Zhang, Peihao Chen, Yu Hu, Qianyue Wang, Zhuliang Yu, Bin Sun, Xiaofen Xing, Qingfang Zheng, Mingkui Tan |
| 2025 | Enhancing the Logical Reasoning Abilities of Large Language Models. Fengxiang Cheng |
| 2025 | Enhancing the Performance of Global Model by Improving the Adaptability of Local Models in Federated Learning. Wujun Zhou, Shu Ding, Zelin Li, Wei Wang |
| 2025 | Ensuring Reliable and Transparent Algorithmic Fairness Through Optimal Transport and Uncertainty Quantification. Agathe Fernandes Machado |
| 2025 | Equitable Mechanism Design for Facility Location. Toby Walsh |
| 2025 | Escaping Saddle Point Efficiently in Minimax and Bilevel Optimizations. Wenhan Xian, Feihu Huang, Heng Huang |
| 2025 | Evaluating and Mitigating Linguistic Discrimination in Large Language Models: Perspectives on Safety Equity and Knowledge Equity. Guoliang Dong, Haoyu Wang, Jun Sun, Xinyu Wang |
| 2025 | Evaluation of Medical Large Language Models: Taxonomy, Review, and Directions. Anísio Lacerda, Gisele L. Pappa, Adriano César Machado Pereira, Wagner Meira Jr., Alexandre Guimarães de Almeida Barros |
| 2025 | Evolutionary Algorithms Are Significantly More Robust to Noise When They Ignore It. Denis Antipov, Benjamin Doerr |
| 2025 | Evolvable Conditional Diffusion. Zhao Wei, Chin Chun Ooi, Abhishek Gupta, Jian Cheng Wong, Pao-Hsiung Chiu, Sheares Xue Wen Toh, Yew-Soon Ong |
| 2025 | ExVideo: Extending Video Diffusion Models via Parameter-Efficient Post-Tuning. Zhongjie Duan, Hong Zhang, Wenmeng Zhou, Cen Chen, Yaliang Li, Yu Zhang, Yingda Chen |
| 2025 | Exact Algorithms with New Upper Bounds for the Maximum k-plex Problem. Jiongzhi Zheng, Mingming Jin, Kun He |
| 2025 | ExpTalk: Diverse Emotional Expression via Adaptive Disentanglement and Refined Alignment for Speech-Driven 3D Facial Animation. Zhan Qu, Shengyu Zhang, Mengze Li, Zhuo Chen, Chengfei Lv, Zhou Zhao, Fei Wu |
| 2025 | Expanding Connected Components from Alternative Terminals: Global Optimization for Freshwater Fishes Under the UN's 30x30 Conservation Goal. Yue Mao, Zhongdi Qu, Imanol Miqueleiz, Aaron M. Ferber, Sami Wolf, Marc Grimson, Sebastian Heilpern, Felipe Siqueira Pacheco, Alexander S. Flecker, Peter B. McIntyre, Carla P. Gomes |
| 2025 | Expanding the Category of Classifiers with LLM Supervision. Derui Lyu, Xiangyu Wang, Taiyu Ban, Lyuzhou Chen, Xiren Zhou, Huanhuan Chen |
| 2025 | ExpertDiff: Head-less Model Reprogramming with Diffusion Classifiers for Out-of-Distribution Generalization. Jee Seok Yoon, Junghyo Sohn, Wootaek Jeong, Heung-Il Suk |
| 2025 | Explain It as Simple as Possible, but No Simpler - Explanation via Model Simplification for Addressing Inferential Gap (Abstract Reprint). Sarath Sreedharan, Siddharth Srivastava, Subbarao Kambhampati |
| 2025 | Explainability Through Human-Centric Design for XAI in Lung Cancer Detection. Amy Rafferty, Rishi Ramaesh, Ajitha Rajan |
| 2025 | Explainable Automatic Fact-Checking for Journalists Augmentation in the Wild. Filipe Altoe, Sérgio Miguel Gonçalves Pinto, H. Sofia Pinto |
| 2025 | Explainable Graph Neural Networks via Structural Externalities. Lijun Wu, Dong Hao, Zhiyi Fan |
| 2025 | Explainable Graph Representation Learning via Graph Pattern Analysis. Xudong Wang, Ziheng Sun, Chris Ding, Jicong Fan |
| 2025 | Explaining Black-box Model Predictions via Two-level Nested Feature Attributions with Consistency Property. Yuya Yoshikawa, Masanari Kimura, Ryotaro Shimizu, Yuki Saito |
| 2025 | Explanatory Capabilities of Large Language Models in Prescriptive Process Monitoring (Extended Abstract). Kateryna Kubrak, Lana Botchorishvili, Fredrik Milani, Alexander Nolte, Marlon Dumas |
| 2025 | Exploiting Label Skewness for Spiking Neural Networks in Federated Learning. Di Yu, Xin Du, Linshan Jiang, Huijing Zhang, Shuiguang Deng |
| 2025 | Exploiting Position Information in Convolutional Kernels for Structural Re-parameterization. Tianxiang Hao, Hui Chen, Guiguang Ding |
| 2025 | Exploiting Self-Refining Normal Graph Structures for Robust Defense against Unsupervised Adversarial Attacks. Bingdao Feng, Di Jin, Xiaobao Wang, Dongxiao He, Jingyi Cao, Zhen Wang |
| 2025 | Exploiting Text Semantics for Few and Zero Shot Node Classification on Text-attributed Graph. Yuxiang Wang, Xiao Yan, Shiyu Jin, Quanqing Xu, Chuang Hu, Yuanyuan Zhu, Bo Du, Jia Wu, Jiawei Jiang |
| 2025 | Exploring Efficient and Effective Sequence Learning for Visual Object Tracking. Dongdong Li, Zhinan Gao, Yangliu Kuai, Rui Chen |
| 2025 | Exploring Equity of Climate Policies Using Multi-Agent Multi-Objective Reinforcement Learning. Palok Biswas, Zuzanna Osika, Isidoro Tamassia, Adit Whorra, Jazmin Zatarain Salazar, Jan H. Kwakkel, Frans A. Oliehoek, Pradeep K. Murukannaiah |
| 2025 | Exploring Multimodal Foundation AI and Expert-in-the-Loop for Sustainable Management of Wild Salmon Fisheries in Indigenous Rivers. Chi Xu, Yili Jin, Sami Ma, Rongsheng Qian, Hao Fang, Jiangchuan Liu, Xue Liu, Edith C. H. Ngai, William I. Atlas, Katrina M. Connors, Mark A. Spoljaric |
| 2025 | Exploring Semantic Masked Autoencoder for Self-supervised Point Cloud Understanding. Yixin Zha, Chuxin Wang, Wenfei Yang, Tianzhu Zhang |
| 2025 | Exploring Transferable Homogenous Groups for Compositional Zero-Shot Learning. Zhijie Rao, Jingcai Guo, Miaoge Li, Yang Chen, Mengzhu Wang |
| 2025 | Exploring the Frontiers of Animation Video Generation in the Sora Era: Method, Dataset and Benchmark. Yudong Jiang, Baohan Xu, Siqian Yang, Mingyu Ying, Jing Liu, Chao Xu, Siqi Wang, Yidi Wu, Bingwen Zhu, Yue Zhang, Jinlong Hou, Huyang Sun |
| 2025 | Exploring the Over-smoothing Problem of Graph Neural Networks for Graph Classification: An Entropy-based Viewpoint. Feifei Qian, Lu Bai, Lixin Cui, Ming Li, Hangyuan Du, Yue Wang, Edwin R. Hancock |
| 2025 | Exploring the Trade-Offs: Quantization Methods, Task Difficulty, and Model Size in Large Language Models From Edge to Giant. Jemin Lee, Sihyeong Park, Jinse Kwon, Jihun Oh, Yongin Kwon |
| 2025 | External Memory Matters: Generalizable Object-Action Memory for Retrieval-Augmented Long-Term Video Understanding. Jisheng Dang, Huicheng Zheng, Xudong Wu, Jingmei Jiao, Bimei Wang, Jun Yang, Bin Hu, Jianhuang Lai, Tat-Seng Chua |
| 2025 | Eye-See-You: Reverse Pass-Through VR and Head Avatars. Ankan Dash, Jingyi Gu, Guiling Wang, Chen Chen |
| 2025 | EyeSeg: An Uncertainty-Aware Eye Segmentation Framework for AR/VR. Zhengyuan Peng, Jianqing Xu, Shen Li, Jiazhen Ji, Yuge Huang, Jingyun Zhang, Jinmin Li, Shouhong Ding, Rizen Guo, Xin Tan, Lizhuang Ma |
| 2025 | FADE: Towards Fairness-aware Data Generation for Domain Generalization via Classifier-Guided Score-based Diffusion Models. Yujie Lin, Dong Li, Minglai Shao, Guihong Wan, Chen Zhao |
| 2025 | FAST: A Lightweight Mechanism Unleashing Arbitrary Client Participation in Federated Learning. Zhe Li, Seyedsina Nabavirazavi, Bicheng Ying, S. Sitharama Iyengar, Haibo Yang |
| 2025 | FBQuant: FeedBack Quantization for Large Language Models. Yijiang Liu, Hengyu Fang, Liulu He, Rongyu Zhang, Yichuan Bai, Yuan Du, Li Du |
| 2025 | FCKT: Fine-Grained Cross-Task Knowledge Transfer with Semantic Contrastive Learning for Targeted Sentiment Analysis. Wei Chen, Zhao Zhang, Meng Yuan, Kepeng Xu, Fuzhen Zhuang |
| 2025 | FGeo-HyperGNet: Geometric Problem Solving Integrating FormalGeo Symbolic System and Hypergraph Neural Network. Xiaokai Zhang, Yang Li, Na Zhu, Cheng Qin, Zhenbing Zeng, Tuo Leng |
| 2025 | FLARE: A Framework for Stellar Flare Forecasting Using Stellar Physical Properties and Historical Records. Bingke Zhu, Xiaoxiao Wang, Minghui Jia, Yihan Tao, Xiao Kong, Ali Luo, Yingying Chen, Ming Tang, Jinqiao Wang |
| 2025 | FS-KEN: Few-shot Knowledge Graph Reasoning by Adversarial Negative Enhancing. Lingyuan Meng, Ke Liang, Zeyu Zhu, Xinwang Liu, Wenpeng Lu |
| 2025 | Facets in Argumentation: A Formal Approach to Argument Significance. Johannes Klaus Fichte, Nicolas Fröhlich, Markus Hecher, Victor Lagerkvist, Yasir Mahmood, Arne Meier, Jonathan Persson |
| 2025 | Fair Incomplete Multi-View Clustering via Distribution Alignment. Qianqian Wang, Haiming Xu, Meiling Liu, Wei Feng, Xiangdong Zhang |
| 2025 | Fair Submodular Maximization over a Knapsack Constraint. Lijun Li, Chenyang Xu, Liuyi Yang, Ruilong Zhang |
| 2025 | FairCognizer: A Model for Accurate Predictions with Inherent Fairness Evaluation (Extended Abstract). Adda-Akram Bendoukha, Nesrine Kaaniche, Aymen Boudguiga, Renaud Sirdey |
| 2025 | FairSMOE: Mitigating Multi-Attribute Fairness Problem with Sparse Mixture-of-Experts. Changdi Yang, Zheng Zhan, Ci Zhang, Yifan Gong, Yize Li, Zichong Meng, Jun Liu, Xuan Shen, Hao Tang, Geng Yuan, Pu Zhao, Xue Lin, Yanzhi Wang |
| 2025 | Fairness-Aware Interactive Target Variable Definition. Dalia Gala, Milo Phillips-Brown, Naman Goel, Carina Prunkl, Laura Alvarez Jubete, Medb Corcoran, Ray Eitel-Porter |
| 2025 | FancyVideo: Towards Dynamic and Consistent Video Generation via Cross-frame Textual Guidance. Jiasong Feng, Ao Ma, Jing Wang, Ke Cao, Zhanjie Zhang |
| 2025 | Fast Explanations via Policy Gradient-Optimized Explainer. Deng Pan, Nuno Moniz, Nitesh V. Chawla |
| 2025 | Fast Guaranteed Tensor Recovery with Adaptive Tensor Nuclear Norm. Jiangjun Peng, Hailin Wang, Xiangyong Cao, Shuang Xu |
| 2025 | Fast Second-Order Online Kernel Learning Through Incremental Matrix Sketching and Decomposition. Dongxie Wen, Xiao Zhang, Zhewei Wei, Chenping Hou, Shuai Li, Weinan Zhang |
| 2025 | Fast and Stronger Lower Bounds for Planar Euclidean Shortest Paths. Stefan Funke, Daniel Koch, Claudius Proissl, Christian Staib, Felix Weitbrecht |
| 2025 | FastBlend: Enhancing Video Stylization Consistency via Model-Free Patch Blending. Zhongjie Duan, Chengyu Wang, Cen Chen, Weining Qian, Jun Huang, Mingyi Jin |
| 2025 | Faster Annotation for Elevation-Guided Flood Extent Mapping by Consistency-Enhanced Active Learning. Saugat Adhikari, Da Yan, Tianyang Wang, Landon Dyken, Sidharth Kumar, Lyuheng Yuan, Akhlaque Ahmad, Jiao Han, Yang Zhou, Steve Petruzza |
| 2025 | Fault Diagnosis in REDNet Model Space. Xiren Zhou, Ziyu Tang, Shikang Liu, Ao Chen, Xiangyu Wang, Huanhuan Chen |
| 2025 | Featured Argumentation Framework: Semantics and Complexity. Gianvincenzo Alfano, Sergio Greco, Francesco Parisi, Irina Trubitsyna |
| 2025 | FedAPA: Server-side Gradient-Based Adaptive Personalized Aggregation for Federated Learning on Heterogeneous Data. Yuxia Sun, Aoxiang Sun, Siyi Pan, Zhixiao Fu, Jingcai Guo |
| 2025 | FedBG: Proactively Mitigating Bias in Cross-Domain Graph Federated Learning Using Background Data. Sheng Huang, Lele Fu, Tianchi Liao, Bowen Deng, Chuanfu Zhang, Chuan Chen |
| 2025 | FedCCH: Automatic Personalized Graph Federated Learning for Inter-Client and Intra-Client Heterogeneity. Pengfei Jiao, Zian Zhou, Meiting Xue, Huijun Tang, Zhidong Zhao, Huaming Wu |
| 2025 | FedCM: Client Clustering and Migration in Federated Learning via Gradient Path Similarity and Update Direction Deviation. Peng Wang, Shoupeng Lu, Hao Yin, Banglie Yang, Tianli Zhu, Cheng Dai |
| 2025 | FedCPD: Personalized Federated Learning with Prototype-Enhanced Representation and Memory Distillation. Kaili Jin, Li Xu, Xiaoding Wang, Sun-Yuan Hsieh, Jie Wu, Limei Lin |
| 2025 | FedDLAD: A Federated Learning Dual-Layer Anomaly Detection Framework for Enhancing Resilience Against Backdoor Attacks. Binbin Ding, Penghui Yang, Sheng-Jun Huang |
| 2025 | FedHAN: A Cache-Based Semi-Asynchronous Federated Learning Framework Defending Against Poisoning Attacks in Heterogeneous Clients. Xiaoding Wang, Bin Ye, Li Xu, Lizhao Wu, Sun-Yuan Hsieh, Jie Wu, Limei Lin |
| 2025 | FedSaaS: Class-Consistency Federated Semantic Segmentation via Global Prototype Supervision and Local Adversarial Harmonization. Xiaoyang Yu, Xiaoming Wu, Xin Wang, Dongrun Li, Ming Yang, Peng Cheng |
| 2025 | Federated Deconfounding and Debiasing Learning for Out-of-Distribution Generalization. Zhuang Qi, Sijin Zhou, Lei Meng, Han Hu, Han Yu, Xiangxu Meng |
| 2025 | Federated Domain Generalization with Decision Insight Matrix. Tianchi Liao, Binghui Xie, Lele Fu, Sheng Huang, Bowen Deng, Chuan Chen, Zibin Zheng |
| 2025 | Federated Learning at the Forefront of Fairness: A Multifaceted Perspective. Noorain Mukhtiar, Adnan Mahmood, Yipeng Zhou, Jian Yang, Jing Teng, Quan Z. Sheng |
| 2025 | Federated Low-Rank Adaptation for Foundation Models: A Survey. Yiyuan Yang, Guodong Long, Qinghua Lu, Liming Zhu, Jing Jiang, Chengqi Zhang |
| 2025 | Federated Multi-view Graph Clustering with Incomplete Attribute Imputation. Wei Feng, Zeyu Bi, Qianqian Wang, Bo Dong |
| 2025 | Federated Stochastic Bilevel Optimization with Fully First-Order Gradients. Yihan Zhang, Rohit Dhaipule, Chiu C. Tan, Haibin Ling, Hongchang Gao |
| 2025 | Feint and Attack: Jailbreaking and Protecting LLMs via Attention Distribution Modeling. Rui Pu, Chaozhuo Li, Rui Ha, Zejian Chen, Litian Zhang, Zheng Liu, Lirong Qiu, Zaisheng Ye |
| 2025 | Few-Shot Incremental Multi-modal Learning via Touch Guidance and Imaginary Vision Synthesis. Lina Wei, Yuhang Ma, Zhongsheng Lin, Fangfang Wang, Canghong Jin, Hanbin Zhao, Dapeng Chen |
| 2025 | Few-shot Novel Category Discovery. Chunming Li, Shidong Wang, Haofeng Zhang |
| 2025 | Filling the Missings: Spatiotemporal Data Imputation by Conditional Diffusion. Wenying He, Jieling Huang, Junhua Gu, Ji Zhang, Yude Bai |
| 2025 | Find and Perceive: Tell Visual Change with Fine-Grained Comparison. Feixiao Lv, Rui Wang, Lihua Jing, Lijun Liu |
| 2025 | Finding Possible Winners in Spatial Voting with Incomplete Information. Hadas Shachnai, Rotem Shavitt, Andreas Wiese |
| 2025 | Fine-Grained and Efficient Self-Unlearning with Layered Iteration. Hongyi Lyu, Xuyun Zhang, Hongsheng Hu, Shuo Wang, Chaoxiang He, Lianyong Qi |
| 2025 | Fine-grained Prompt Screening: Defending Against Backdoor Attack on Text-to-Image Diffusion Models. Yiran Xu, Nan Zhong, Guobiao Li, Anda Cheng, Yinggui Wang, Zhenxing Qian, Xinpeng Zhang |
| 2025 | Finite-Time Analysis of Heterogeneous Federated Temporal Difference Learning. Ye Zhu, Xiaowen Gong, Shiwen Mao |
| 2025 | First-Order Coalition Logic. Davide Catta, Rustam Galimullin, Aniello Murano |
| 2025 | FissionVAE: Federated Non-IID Image Generation with Latent Space and Decoder Decomposition. Chen Hu, Hanchi Ren, Jingjing Deng, Xianghua Xie, Xiaoke Ma |
| 2025 | Flexible Generalized Low-Rank Regularizer for Tensor RPCA. Zhiyang Gong, Jie Yu, Yutao Hu, Yulong Wang |
| 2025 | Flow Matching Based Sequential Recommender Model. Feng Liu, Lixin Zou, Xiangyu Zhao, Min Tang, Liming Dong, Dan Luo, Xiangyang Luo, Chenliang Li |
| 2025 | Flow-based Time-aware Causal Structure Learning for Sequential Recommendation. Hangtong Xu, Yuanbo Xu, Huayuan Liu, En Wang |
| 2025 | ForgDiffuser: General Image Forgery Localization with Diffusion Models. Mengxi Wang, Shaozhang Niu, Jiwei Zhang |
| 2025 | Formal Synthesis of Safe Kolmogorov-Arnold Network Controllers with Barrier Certificates. Xiongqi Zhang, Ning Lv, Wang Lin, Zuohua Ding |
| 2025 | FreEformer: Frequency Enhanced Transformer for Multivariate Time Series Forecasting. Wenzhen Yue, Yong Liu, Xianghua Ying, Bowei Xing, Ruohao Guo, Ji Shi |
| 2025 | Free Lunch of Image-mask Alignment for Anomaly Image Generation and Segmentation. Xiangyue Li, Xiaoyang Wang, Zhibin Wan, Quan Zhang, Yupei Wu, Tao Deng, Mingjie Sun |
| 2025 | FreqLLM: Frequency-Aware Large Language Models for Time Series Forecasting. Shunnan Wang, Min Gao, Zongwei Wang, Yibing Bai, Feng Jiang, Guansong Pang |
| 2025 | FreqMoE: Dynamic Frequency Enhancement for Neural PDE Solvers. Tianyu Chen, Haoyi Zhou, Ying Li, Hao Wang, Zhenzhe Zhang, Tianchen Zhu, Shanghang Zhang, Jianxin Li |
| 2025 | Frequency-Aware Deep Depth from Focus. Tao Yan, Yingying Wang, Jiangfeng Zhang, Yuhua Qian, Jieru Jia, Lu Chen, Feijiang Li |
| 2025 | From End-to-end to Step-by-step: Learning to Abstract via Abductive Reinforcement Learning. Zilong Wang, Jiongda Wang, Xiaoyong Chen, Meng Wang, Ming Ma, Zhipeng Wang, Zhenyu Zhou, Tianming Yang, Wang-Zhou Dai |
| 2025 | From General Relation Patterns to Task-Specific Decision-Making in Continual Multi-Agent Coordination. Chang Yao, Youfang Lin, Shoucheng Song, Hao Wu, Yuqing Ma, Sheng Han, Kai Lv |
| 2025 | From Individual to Universal: Regularized Multi-view Joint Representation for Multi-view Subspace-Preserving Recovery. Libin Wang, Yulong Wang, Xinwei He, Qiwei Xie, Kit Ian Kou, Yuan Yan Tang |
| 2025 | From Sparse to Complete: Semantic Understanding Based on Stroke Evolution in On-the-fly Sketch-based Image Retrieval. Yingge Liu, Dawei Dai, Xiangling Hou, Shilin Zhao, Guoyin Wang |
| 2025 | Fully Test-Time Adaptation for Feature Decrement in Tabular Data. Zi-Jian Cheng, Zi-Yi Jia, Kun-Yang Yu, Zhi Zhou, Lan-Zhe Guo |
| 2025 | Fusion of Granular-Ball Visual Spatial Representations for Enhanced Facial Expression Recognition. Shuaiyu Liu, Qiyao Shen, Yunxi Wang, Yazhou Ren, Guoyin Wang |
| 2025 | G3PT: Unleash the Power of Autoregressive Modeling in 3D Generation via Cross-Scale Querying Transformer. Jinzhi Zhang, Feng Xiong, Guangyu Wang, Mu Xu |
| 2025 | GATES: Cost-aware Dynamic Workflow Scheduling via Graph Attention Networks and Evolution Strategy. Ya Shen, Gang Chen, Hui Ma, Mengjie Zhang |
| 2025 | GBGC: Efficient and Adaptive Graph Coarsening via Granular-ball Computing. Shuyin Xia, Guan Wang, Gaojie Xu, Sen Zhao, Guoyin Wang |
| 2025 | GCNT: Graph-Based Transformer Policies for Morphology-Agnostic Reinforcement Learning. Yingbo Luo, Meibao Yao, Xueming Xiao |
| 2025 | GCTAM: Global and Contextual Truncated Affinity Combined Maximization Model For Unsupervised Graph Anomaly Detection. Xiong Zhang, Hong Peng, Zhenli He, Cheng Xie, Xin Jin, Hua Jiang |
| 2025 | GE-Chat: A Graph Enhanced RAG Framework for Evidential Response Generation of LLMs. Longchao Da, Parth Mitesh Shah, Kuanru Liou, Jiaxing Zhang, Hua Wei |
| 2025 | GETMusic: Generating Music Tracks with a Unified Representation and Diffusion Framework. Ang Lv, Xu Tan, Peiling Lu, Wei Ye, Shikun Zhang, Jiang Bian, Rui Yan |
| 2025 | GLDiTalker: Speech-Driven 3D Facial Animation with Graph Latent Diffusion Transformer. Yihong Lin, Zhaoxin Fan, Xianjia Wu, Lingyu Xiong, Xiandong Li, Wenxiong Kang, Liang Peng, Songju Lei, Huang Xu |
| 2025 | GPI-Net: Gestalt-Guided Parallel Interaction Network via Orthogonal Geometric Consistency for Robust Point Cloud Registration. Weikang Gu, Mingyue Han, Li Xue, Heng Dong, Changcai Yang, Riqing Chen, Lifang Wei |
| 2025 | GPL4SRec: Graph Multi-Level Aware Prompt Learning for Streaming Recommendation. Hao Cang, Huanhuan Yuan, Jiaqing Fan, Lei Zhao, Guanfeng Liu, Pengpeng Zhao |
| 2025 | GRAML: Goal Recognition As Metric Learning. Matan Shamir, Reuth Mirsky |
| 2025 | GRAPE: Heterogeneous Graph Representation Learning for Genetic Perturbation with Coding and Non-Coding Biotype. Changxi Chi, Jun Xia, Jingbo Zhou, Jiabei Cheng, Chang Yu, Stan Z. Li |
| 2025 | GSDNet: Revisiting Incomplete Multimodality-Diffusion Emotion Recognition from the Perspective of Graph Spectrum. Yuntao Shou, Jun Yao, Tao Meng, Wei Ai, Cen Chen, Keqin Li |
| 2025 | GSDet: Gaussian Splatting for Oriented Object Detection. Zeyu Ding, Jiaqi Zhao, Yong Zhou, Wen-Liang Du, Hancheng Zhu, Rui Yao |
| 2025 | Game Theory Meets Large Language Models: A Systematic Survey. Haoran Sun, Yusen Wu, Yukun Cheng, Xu Chu |
| 2025 | GarmentDiffusion: 3D Garment Sewing Pattern Generation with Multimodal Diffusion Transformers. Xinyu Li, Qi Yao, Yuanda Wang |
| 2025 | Gaussian Mixture Model for Graph Domain Adaptation. Mengzhu Wang, Wenhao Ren, Yu Zhang, Yanlong Fan, Dianxi Shi, Luoxi Jing, Nan Yin |
| 2025 | General Incomplete Time Series Analysis via Patch Dropping Without Imputation. Yangyang Wu, Yi Yuan, Mengying Zhu, Xiaoye Miao, Meng Xi |
| 2025 | Generalized Safe Conditional Syntax Splitting of Belief Bases. Lars-Phillip Spiegel, Jonas Haldimann, Jesse Heyninck, Gabriele Kern-Isberner, Christoph Beierle |
| 2025 | Generate or Re-Weight? A Mutual-Guidance Method for Class-Imbalanced Graphs. Zhongying Zhao, Gen Liu, Qi Meng, Chao Li, Qingtian Zeng |
| 2025 | Generating Grounded Responses to Counter Misinformation via Learning Efficient Fine-Grained Critiques. Xiaofei Xu, Xiuzhen Zhang, Ke Deng |
| 2025 | Generative AI for Immersive Video: Recent Advances and Future Opportunities. Kaiyuan Hu, Yili Jin, Hao Zhou, Linfeng Du, Jiangchuan Liu, Xue Liu |
| 2025 | Generative Agents for Multimodal Controversy Detection. Tianjiao Xu, Jinfei Gao, Keyi Kong, Jianhua Yin, Tian Gan, Liqiang Nie |
| 2025 | Generative Co-Design of Antibody Sequences and Structures via Black-Box Guidance in a Shared Latent Space. Yinghua Yao, Yuangang Pan, Xixian Chen |
| 2025 | Generative Multi-Agent Collaboration in Embodied AI: A Systematic Review. Di Wu, Xian Wei, Guang Chen, Hao Shen, Bo Jin |
| 2025 | Generic Adversarial Attack Framework Against Vertical Federated Learning. Yimin Liu, Peng Jiang |
| 2025 | Global Information Compensation Network for Image Denoising. Shifei Ding, Qidong Wang, Lili Guo |
| 2025 | Going Beyond Consistency: Target-oriented Multi-view Graph Neural Network. Sujia Huang, Lele Fu, Shuman Zhuang, Yide Qiu, Bo Huang, Zhen Cui, Tong Zhang |
| 2025 | Good Advisor for Source Localization: Using Large Language Model to Guide the Source Inference Process. Dongpeng Hou, Wenfei Wei, Chao Gao, Xianghua Li, Zhen Wang |
| 2025 | Gradient-based Causal Feature Selection. Zhaolong Ling, Mengxiang Guo, Xingyu Wu, Debo Cheng, Peng Zhou, Tianci Li, Zhangling Duan |
| 2025 | Granular-Ball-Induced Multiple Kernel K-Means. Shuyin Xia, Yifan Wang, Lifeng Shen, Guo-Yin Wang |
| 2025 | Graph Embedded Contrastive Learning for Multi-View Clustering. Hongqing He, Jie Xu, Guoqiu Wen, Yazhou Ren, Na Zhao, Xiaofeng Zhu |
| 2025 | Graph Neural Networks for Databases: A Survey. Ziming Li, Youhuan Li, Yuyu Luo, Guoliang Li, Chuxu Zhang |
| 2025 | Graph OOD Detection via Plug-and-Play Energy-based Evaluation and Propagation. Yunxia Zhang, Mingchen Sun, Yutong Zhang, Funing Yang, Ying Wang |
| 2025 | Graph Prompts: Adapting Video Graph for Video Question Answering. Yiming Li, Xiaoshan Yang, Bing-Kun Bao, Changsheng Xu |
| 2025 | Graph Random Walk with Feature-Label Space Alignment: A Multi-Label Feature Selection Method. Wanfu Gao, Jun Gao, Qingqi Han, Hanlin Pan, Kunpeng Liu |
| 2025 | GraphAD: Interaction Scene Graph for End-to-end Autonomous Driving. Yunpeng Zhang, Deheng Qian, Ding Li, Yifeng Pan, Yong Chen, Zhenbao Liang, Zhiyao Zhang, Yingzong Liu, Jianhui Mei, Maolei Fu, Yun Ye, Zhujin Liang, Yi Shan, Dalong Du |
| 2025 | GraphProt: Certified Black-Box Shielding Against Backdoored Graph Models. Xiao Yang, Yuni Lai, Kai Zhou, Gaolei Li, Jianhua Li, Hang Zhang |
| 2025 | Grounding Creativity in Physics: A Brief Survey of Physical Priors in AIGC. Siwei Meng, Yawei Luo, Ping Liu |
| 2025 | Grounding Methods for Neural-Symbolic AI. Rodrigo Castellano Ontiveros, Francesco Giannini, Marco Gori, Giuseppe Marra, Michelangelo Diligenti |
| 2025 | Grounding Open-Domain Knowledge from LLMs to Real-World Reinforcement Learning Tasks: A Survey. Haiyan Yin, Hangwei Qian, Yaxin Shi, Ivor W. Tsang, Yew-Soon Ong |
| 2025 | Guiding LLM-based Smart Contract Generation with Finite State Machine. Hao Luo, Yuhao Lin, Xiao Yan, Xintong Hu, Yuxiang Wang, Qiming Zeng, Hao Wang, Jiawei Jiang |
| 2025 | Guiding Large Language Models in Modeling Optimization Problems via Question Partitioning. Xiaotian Pan, Junhao Fang, Feng Wu, Sijia Zhang, Yixiang Hu, Shaoang Li, Xiangyang Li |
| 2025 | HA-SCN: Learning Hierarchical Aligned Subtree Convolutional Networks for Graph Classification. Xinya Qin, Lu Bai, Lixin Cui, Ming Li, Hangyuan Du, Yue Wang, Edwin R. Hancock |
| 2025 | HARMONY: A Privacy-preserving and Sensor-agnostic Tele-monitoring system. Qipeng Xie, Hao Guo, Weizheng Wang, Yongzhi Huang, Linshan Jiang, Jiafei Wu, Shuxin Zhong, Lu Wang, Kaishun Wu |
| 2025 | HCRide: Harmonizing Passenger Fairness and Driver Preference for Human-Centered Ride-Hailing. Lin Jiang, Yu Yang, Guang Wang |
| 2025 | HGEN: Heterogeneous Graph Ensemble Networks. Jiajun Shen, Yufei Jin, Kaibu Feng, Yi He, Xingquan Zhu |
| 2025 | HGMP: Heterogeneous Graph Multi-Task Prompt Learning. Pengfei Jiao, Jialong Ni, Di Jin, Xuan Guo, Huan Liu, Hongjiang Chen, Yanxian Bi |
| 2025 | HIPP: Protecting Image Privacy via High-Quality Reversible Protected Version. Xi Ye, Lina Wang, Run Wang, Jiatong Liu, Geying Yang |
| 2025 | HLMTrans: A Sim-to-Real Transfer Framework for Spatial Crowdsourcing with Human-Guided Language Models. Qingshun Wu, Yafei Li, Lulu Li, Yuanyuan Jin, Shuo He, Mingliang Xu |
| 2025 | HPDM: A Hierarchical Popularity-aware Debiased Modeling Approach for Personalized News Recommender. Xiangfu He, Qiyao Peng, Minglai Shao, Hongtao Liu |
| 2025 | HSRMamba: Contextual Spatial-Spectral State Space Model for Single Hyperspectral Image Super-Resolution. Shi Chen, Lefei Zhang, Liangpei Zhang |
| 2025 | Hallucination Reduction in Video-Language Models via Hierarchical Multimodal Consistency. Jisheng Dang, Shengjun Deng, Haochen Chang, Teng Wang, Bimei Wang, Shude Wang, Nannan Zhu, Guo Niu, Jingwen Zhao, Jizhao Liu |
| 2025 | Hallucination-Aware Prompt Optimization for Text-to-Video Synthesis. Jiapeng Wang, Chengyu Wang, Jun Huang, Lianwen Jin |
| 2025 | Hand by Hand: LLM Driving EMS Assistant for Operational Skill Learning. Wei Xiang, Ziyue Lei, Haoyuan Che, Fangyuan Ye, Xueting Wu, Lingyun Sun |
| 2025 | Handling Infinite Domain Parameters in Planning Through Best-First Search with Delayed Partial Expansions. Ángel Aso-Mollar, Diego Aineto, Enrico Scala, Eva Onaindia |
| 2025 | Harnessing Vision Models for Time Series Analysis: A Survey. Jingchao Ni, Ziming Zhao, ChengAo Shen, Hanghang Tong, Dongjin Song, Wei Cheng, Dongsheng Luo, Haifeng Chen |
| 2025 | Hazard Function Guided Agent-Based Models: A Case Study of Return Migration from Poland to Ukraine. Zakaria Mehrab, S. S. Ravi, Logan Stundal, Samarth Swarup, Srinivasan Venkatramanan, Bryan L. Lewis, Henning S. Mortveit, David Leblang, Madhav V. Marathe |
| 2025 | HeTa: Relation-wise Heterogeneous Graph Foundation Attack Model. Yuling Wang, Zihui Chen, Pengfei Jiao, Xiao Wang |
| 2025 | HealthLens: A Natural Language Querying System for Interactive Visualization of Electronic Health Records. Haodi Zhang, Siqi Ning, Qiyong Zheng, Yuanfeng Song, Liang-Jie Zhang |
| 2025 | Heterogeneous Federated Learning with Scalable Server Mixture-of-Experts. Jingang Jiang, Yanzhao Chen, Xiangyang Liu, Haiqi Jiang, Chenyou Fan |
| 2025 | Heterogeneous Temporal Hypergraph Neural Network. Huan Liu, Pengfei Jiao, Mengzhou Gao, Chaochao Chen, Di Jin |
| 2025 | Heterophily-Aware Personalized PageRank for Node Classification. Giuseppe Pirrò |
| 2025 | HiTuner: Hierarchical Semantic Fusion Model Fine-Tuning on Text-Attributed Graphs. Zihan Fang, Zhiling Cai, Yuxuan Zheng, Shide Du, Yanchao Tan, Shiping Wang |
| 2025 | Hierarchy Knowledge Graph for Parameter-Efficient Entity Embedding. Hepeng Gao, Funing Yang, Yongjian Yang, Ying Wang |
| 2025 | High-Confident Local Structure Guided Consensus Graph Learning For Incomplete Multi-view Clustering. Shuping Zhao, Lunke Fei, Qi Lai, Jie Wen, Jinrong Cui, Tingting Chai |
| 2025 | High-Fidelity Road Network Generation with Latent Diffusion Models. Jinming Wang, Hongkai Wen, Geyong Min, Man Luo |
| 2025 | Higher-order Logical Knowledge Representation Learning. Suixue Wang, Weiliang Huo, Shilin Zhang, Qingchen Zhang |
| 2025 | Horae: A Domain-Agnostic Language for Automated Service Regulation. Yutao Sun, Mingshuai Chen, Tiancheng Zhao, Kangjia Zhao, He Li, Jintao Chen, Zhongyi Wang, Liqiang Lu, Xinkui Zhao, Shuiguang Deng, Jianwei Yin |
| 2025 | How to Enable LLM with 3D Capacity? A Survey of Spatial Reasoning in LLM. Jirong Zha, Yuxuan Fan, Xiao Yang, Chen Gao, Xinlei Chen |
| 2025 | How to Make Reproducible Research in Machine Unlearning with ERASURE. Andrea D'Angelo, Claudio Savelli, Gabriele Tagliente, Flavio Giobergia, Elena Baralis, Giovanni Stilo |
| 2025 | How to Mitigate Information Loss in Knowledge Graphs for GraphRAG: Leveraging Triple Context Restoration and Query-Driven Feedback. Manzong Huang, Chenyang Bu, Yi He, Xindong Wu |
| 2025 | How to Resolve Envy by Adding Goods. Matthias Bentert, Robert Bredereck, Eva Michelle Deltl, Pallavi Jain, Leon Kellerhals |
| 2025 | How to Teach Programming in the AI Era? Using LLMs as a Teachable Agent for Debugging (Extended Abstract). Qianou Ma, Hua Shen, Ken Koedinger, Tongshuang Wu |
| 2025 | Human Activity Recognition in an Open World (Abstract Reprint). Derek S. Prijatelj, Samuel Grieggs, Jin Huang, Dawei Du, Ameya Shringi, Christopher Funk, Adam Kaufman, Eric Robertson, Walter J. Scheirer |
| 2025 | Human Motion Capture from Loose and Sparse Inertial Sensors with Garment-aware Diffusion Models. Andela Ilic, Jiaxi Jiang, Paul Streli, Xintong Liu, Christian Holz |
| 2025 | Human-AI Coevolution (Abstract Reprint). Dino Pedreschi, Luca Pappalardo, Emanuele Ferragina, Ricardo Baeza-Yates, Albert-László Barabási, Frank Dignum, Virginia Dignum, Tina Eliassi-Rad, Fosca Giannotti, János Kertész, Alistair Knott, Yannis E. Ioannidis, Paul Lukowicz, Andrea Passarella, Alex 'Sandy' Pentland, John Shawe-Taylor, Alessandro Vespignani |
| 2025 | Human-Centric Foundation Models: Perception, Generation and Agentic Modeling. Shixiang Tang, Yizhou Wang, Lu Chen, Yuan Wang, Sida Peng, Dan Xu, Wanli Ouyang |
| 2025 | Human-Imperceptible, Machine-Recognizable Images. Fusheng Hao, Fengxiang He, Yikai Wang, Fuxiang Wu, Jing Zhang, Dacheng Tao, Jun Cheng |
| 2025 | Human-Readable Neuro-Fuzzy Networks from Frequent Yet Discernible Patterns in Reward-Based Environments. John Wesley Hostetter, Adittya Soukarjya Saha, Md. Mirajul Islam, Tiffany Barnes, Min Chi |
| 2025 | Hybrid Local Causal Discovery. Zhaolong Ling, Honghui Peng, Yiwen Zhang, Debo Cheng, Xingyu Wu, Peng Zhou, Kui Yu |
| 2025 | Hybrid Mesh-Gaussian Representation for Efficient Indoor Scene Reconstruction. Binxiao Huang, Zhihao Li, Shiyong Liu, Xiao Tang, Jiajun Tang, Jiaqi Lin, Yuxin Cheng, Zhenyu Chen, Xiaofei Wu, Ngai Wong |
| 2025 | Hybrid Relational Graphs with Sentiment-laden Semantic Alignment for Multimodal Emotion Recognition in Conversation. Hongru Ji, Xianghua Li, Mingxin Li, Meng Zhao, Chao Gao |
| 2025 | HygMap: Representing All Types of Map Entities via Heterogeneous Hypergraph. Yifan Yang, Jingyuan Wang, Xie Yu, Yibang Tang |
| 2025 | HyperDet: Source Detection in Hypergraphs via Interactive Relationship Construction and Feature-rich Attention Fusion. Le Cheng, Peican Zhu, Yangming Guo, Keke Tang, Chao Gao, Zhen Wang |
| 2025 | HyperTrans: Efficient Hypergraph-Driven Cross-Domain Pattern Transfer in Image Anomaly Detection. Tengyu Zhang, Deyu Zeng, Baoqiang Li, Wei Wang, Wei Liu, Zongze Wu |
| 2025 | Hypernetwork Aggregation for Decentralized Personalized Federated Learning. Weishi Li, Yong Peng, Mengyao Du, Fuhui Sun, Xiaoyan Wang, Li Shen |
| 2025 | ID-RemovalNet: Identity Removal Network for EEG Privacy Protection with Enhancing Decoding Tasks. Huabin Wang, Jie Ruan, Cunhang Fan, Yingfan Cheng, Zhao Lv |
| 2025 | IE-PMMA: Point Cloud Completion Through Inverse Edge-aware Upsampling and Precise Multi-Modal Feature Alignment. Ran Jia, Junpeng Xue, Shuai Ma, Wenbo Lu, Kelei Wang |
| 2025 | IGraSS: Learning to Identify Infrastructure Networks from Satellite Imagery by Iterative Graph-constrained Semantic Segmentation. Oishee Bintey Hoque, Abhijin Adiga, Aniruddha Adiga, Siddharth Chaudhary, Madhav V. Marathe, S. S. Ravi, Kirti Rajagopalan, Amanda Wilson, Samarth Swarup |
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| 2025 | INFP: INdustrial Video Anomaly Detection via Frequency Prioritization. Qianzi Yu, Kai Zhu, Yang Cao, Yu Kang |
| 2025 | INT: Instance-Specific Negative Mining for Task-Generic Promptable Segmentation. Jian Hu, Zixu Cheng, Shaogang Gong |
| 2025 | Identifying Causal Mechanism Shifts Under Additive Models with Arbitrary Noise. Yewei Xia, Xueliang Cui, Hao Zhang, Yixin Ren, Feng Xie, Jihong Guan, Ruxin Wang, Shuigeng Zhou |
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| 2025 | Identifying and Reusing Learnwares Across Different Label Spaces. Jian-Dong Liu, Zhi-Hao Tan, Zhi-Hua Zhou |
| 2025 | Image Captioning Evaluation in the Age of Multimodal LLMs: Challenges and Future Perspectives. Sara Sarto, Marcella Cornia, Rita Cucchiara |
| 2025 | Image-Enhanced Hybrid Encoding with Reinforced Contrastive Learning for Spatial Domain Identification in Spatial Transcriptomics. Daoyuan Wang, Lu Gao, Wenlan Chen, Cheng Liang, Fei Guo |
| 2025 | Imagination-Limited Q-Learning for Offline Reinforcement Learning. Wenhui Liu, Zhijian Wu, Jingchao Wang, Dingjiang Huang, Shuigeng Zhou |
| 2025 | Imitation Learning via Focused Satisficing. Rushit N. Shah, Nikolaos Agadakos, Synthia Sasulski, Ali Farajzadeh, Sanjiban Choudhury, Brian D. Ziebart |
| 2025 | Implicitly Aligning Humans and Autonomous Agents through Shared Task Abstractions. Stéphane Aroca-Ouellette, Miguel Aroca-Ouellette, Katharina von der Wense, Alessandro Roncone |
| 2025 | Improved Approximation Ratio for Strategyproof Facility Location on a Cycle. Krzysztof Rogowski, Marcin Dziubinski |
| 2025 | Improved MMS Approximations for Few Agent Types. Parnian Shahkar, Jugal Garg |
| 2025 | Improved Rank Aggregation Under Fairness Constraint. Diptarka Chakraborty, Himika Das, Sanjana Dey, Alvin Yan Hong Yao |
| 2025 | Improvements to the Generate-and-Complete Approach to Conformant Planning. Liangda Fang, Min Zhan, Jin Tong, Xiujie Huang, Ziliang Chen, Quanlong Guan |
| 2025 | Improving Consistency Identification in Task-oriented Dialogue Through Multi-Agent Collaboration. Peng Wang, Shuo Li, Ruoxi Zhou, Qiguang Chen, Xiao Xu, Hao Fei, Dagang Li, Wanxiang Che, Libo Qin |
| 2025 | Improving Efficiency of Answer Set Planning with Rough Solutions from Large Language Models for Robotic Task Planning. Xinrui Lin, Yangfan Wu, Huanyu Yang, Yuting Huang, Yu Zhang, Jianmin Ji, Yanyong Zhang |
| 2025 | Improving Generalization in Meta-Learning via Meta-Gradient Augmentation. Ren Wang, Haoliang Sun, Yuxiu Lin, Xinxin Zhang, Yilong Yin |
| 2025 | Improving Prediction Certainty Estimation for Reliable Early Exiting via Null Space Projection. Jianing He, Qi Zhang, Duoqian Miao, Kun Yi, Shufeng Hao, Hongyun Zhang, Zhihua Wei |
| 2025 | Imputation-free Incomplete Multi-view Clustering via Knowledge Distillation. Benyu Wu, Wei Du, Jun Wang, Guoxian Yu |
| 2025 | ImputeINR: Time Series Imputation via Implicit Neural Representations for Disease Diagnosis with Missing Data. Mengxuan Li, Ke Liu, Jialong Guo, Jiajun Bu, Hongwei Wang, Haishuai Wang |
| 2025 | In-Context Meta LoRA Generation. Yihua Shao, Minxi Yan, Yang Liu, Siyu Chen, Wenjie Chen, Xinwei Long, Ziyang Yan, Lei Li, Chenyu Zhang, Nicu Sebe, Hao Tang, Yan Wang, Hao Zhao, Mengzhu Wang, Jingcai Guo |
| 2025 | In-context Learning Demonstration Generation with Text Distillation. Wuyuqing Wang, Erkun Yang, Zilan Zhou, Cheng Deng |
| 2025 | Incentives for Early Arrival in Cooperative Games (Extended Abstract). Yaoxin Ge, Yao Zhang, Dengji Zhao, Zhihao Gavin Tang, Hu Fu, Pinyan Lu |
| 2025 | Incentivizing Safer Actions in Policy Optimization for Constrained Reinforcement Learning. Somnath Hazra, Pallab Dasgupta, Soumyajit Dey |
| 2025 | Inconsistency Handling in DatalogMTL. Meghyn Bienvenu, Camille Bourgaux, Atefe Khodadaditaghanaki |
| 2025 | Inconsistency-Based Federated Active Learning. Chen-Chen Zong, Tong Jin, Sheng-Jun Huang |
| 2025 | Incorporating Legal Logic into Deep Learning: An Intelligent Approach to Probation Prediction. Qinghua Wang, Xu Zhang, Lingyan Yang, Rui Shao, Bonan Wang, Fang Wang, Cunquan Qu |
| 2025 | Incorporating Visual Experts to Resolve the Information Loss in Multimodal Large Language Models. Xin He, Longhui Wei, Lingxi Xie, Qi Tian |
| 2025 | Indirect Alignment and Relationship Preservation for Domain Generalization. Wei Wei, Zixiong Li, Jing Yan, Mingwen Shao, Lin Li |
| 2025 | Indirect Online Preference Optimization via Reinforcement Learning. En Wang, Xingyu Lin, Du Su, Chenfu Bao, Zhonghou Lv, Funing Yang, Yuanbo Xu, Wenbin Liu |
| 2025 | InfVC: An Inference-Enhanced Local Search Algorithm for the Minimum Vertex Cover Problem in Massive Graphs. Rui Sun, Peiyan Liu, Yiyuan Wang, Zhaohui Liu, Liping Du, Jian Gao |
| 2025 | Inference of Human-derived Specifications of Object Placement via Demonstration. Alex Cuellar, Ho Chit Siu, Julie A. Shah |
| 2025 | Inferring Causal Protein Signaling Networks with Reinforcement Learning via Artificial Bee Colony Neural Architecture Search. Jihao Zhai, Junzhong Ji, Jinduo Liu |
| 2025 | Initial Models and Serialisability in Abstract Dialectical Frameworks. Lars Bengel, Matthias Thimm |
| 2025 | Injecting Imbalance Sensitivity for Multi-Task Learning. Zhipeng Zhou, Liu Liu, Peilin Zhao, Wei Gong |
| 2025 | InnateCoder: Learning Programmatic Options with Foundation Models. Rubens O. Moraes, Quazi Asif Sadmine, Hendrik Baier, Levi H. S. Lelis |
| 2025 | InstGAN: Instant Actor-Critic-Driven GAN for De Novo Molecule Generation and Property Optimization. Huidong Tang, Chen Li, Sayaka Kamei, Yoshihiro Yamanishi, Yasuhiko Morimoto |
| 2025 | Instance Relation Learning Network with Label Knowledge Propagation for Few-shot Multi-label Intent Detection. Shiman Zhao, Shangyuan Li, Wei Chen, Tengjiao Wang, Jiahui Yao, Jiabin Zheng, Kam-Fai Wong |
| 2025 | Instantiation-based Formalization of Logical Reasoning Tasks Using Language Models and Logical Solvers. Mohammad Raza, Natasa Milic-Frayling |
| 2025 | Instructing Text-to-Image Diffusion Models via Classifier-Guided Semantic Optimization. Yuanyuan Chang, Yinghua Yao, Tao Qin, Mengmeng Wang, Ivor W. Tsang, Guang Dai |
| 2025 | Integrating Answer Set Programming and Large Language Models for Enhanced Structured Representation of Complex Knowledge in Natural Language. Mario Alviano, Lorenzo Grillo, Fabrizio Lo Scudo, Luis Angel Rodriguez Reiners |
| 2025 | Integrating Independent Layer-Wise Rank Selection with Low-Rank SVD Training for Model Compression: A Theory-Driven Approach. Yifan Guo, Alyssa Yu |
| 2025 | Integrating Neurosymbolic AI in Advanced Air Mobility: A Comprehensive Survey. Kamal Acharya, Iman Sharifi, Mehul Lad, Liang Sun, Houbing Song |
| 2025 | Integration of Old and New Knowledge for Generalized Intent Discovery: A Consistency-driven Prototype-Prompting Framework. Xiao Wei, Xiaobao Wang, Ning Zhuang, Chenyang Wang, Longbiao Wang, Jianwu Dang |
| 2025 | Inter3D: A Benchmark and Strong Baseline for Human-Interactive 3D Object Reconstruction. Gan Chen, Ying He, Mulin Yu, F. Richard Yu, Gang Xu, Fei Ma, Ming Li, Guang Zhou |
| 2025 | Interaction-Data-guided Conditional Instrumental Variables for Debiasing Recommender Systems. Zhirong Huang, Debo Cheng, Lin Liu, Jiuyong Li, Guangquan Lu, Shichao Zhang |
| 2025 | Interactive Multimodal Learning via Flat Gradient Modification. Qing-Yuan Jiang, Zhouyang Chi, Yang Yang |
| 2025 | Interpretable DNFs. Martin C. Cooper, Imane Bousdira, Clément Carbonnel |
| 2025 | Interpreting Pretrained Language Models via Concept Bottlenecks (Extended Abstract). Zhen Tan, Lu Cheng, Song Wang, Bo Yuan, Jundong Li, Huan Liu |
| 2025 | Interval Selection with Binary Predictions. Christodoulos Karavasilis |
| 2025 | Intoner: For Chinese Poetry Intoning Synthesis. Heda Zuo, Liyao Sun, Zeyu Lai, Weitao You, Pei Chen, Lingyun Sun |
| 2025 | Inverse Game Theory: An Incenter-Based Approach. Lvye Cui, Haoran Yu, Pierre Pinson, Dario Paccagnan |
| 2025 | IterMeme: Expert-Guided Multimodal LLM for Interactive Meme Creation with Layout-Aware Generation. Yaqi Cai, Shancheng Fang, Yadong Qu, Xiaorui Wang, Meng Shao, Hongtao Xie |
| 2025 | Iterated Belief Change as Learning. Nicolas Schwind, Katsumi Inoue, Sébastien Konieczny, Pierre Marquis |
| 2025 | Joint-Perturbation Simultaneous Pseudo-Gradient. Carlos Martin, Tuomas Sandholm |
| 2025 | K-Buffers: A Plug-in Method for Enhancing Neural Fields with Multiple Buffers. Haofan Ren, Zunjie Zhu, Xiang Chen, Ming Lu, Rongfeng Lu, Chenggang Yan |
| 2025 | KGCL: Knowledge-Enhanced Graph Contrastive Learning for Retrosynthesis Prediction Based on Molecular Graph Editing. Fengqin Yang, Dekui Zhao, Haoxuan Qiu, Yifei Li, Zhiguo Fu |
| 2025 | KIPPO: Koopman-Inspired Proximal Policy Optimization. Andrei Cozma, Landon Harris, Hairong Qi |
| 2025 | KP-PINNs: Kernel Packet Accelerated Physics Informed Neural Networks. Siyuan Yang, Cheng Song, Zhilu Lai, Wenjia Wang |
| 2025 | Keypoints as Dynamic Centroids for Unified Human Pose and Segmentation. Niaz Ahmad, Jawad Khan, Kang G. Shin, Youngmoon Lee, Guanghui Wang |
| 2025 | KnowMDD: Knowledge-guided Cross Contrastive Learning for Major Depressive Disorder Diagnosis. Anchen Lin, Weikun Wang, Haijun Han, Fanwei Zhu, Qi Ma, Zengwei Zheng, Binbin Zhou |
| 2025 | KnowRA: Knowledge Retrieval Augmented Method for Document-level Relation Extraction with Comprehensive Reasoning Abilities. Chengcheng Mai, Yuxiang Wang, Ziyu Gong, Hanxiang Wang, Yihua Huang |
| 2025 | Knowledge Editing for Multi-Hop Question Answering Using Semantic Analysis. Dominic Simon, Rickard Ewetz |
| 2025 | Knowledge-Informed Deep Learning for Irrigation Type Mapping from Remote Sensing. Oishee Bintey Hoque, Nibir Chandra Mandal, Abhijin Adiga, Samarth Swarup, Sayjro Kossi Nouwakpo, Amanda Wilson, Madhav V. Marathe |
| 2025 | L2M2: A Hierarchical Framework Integrating Large Language Model and Multi-agent Reinforcement Learning. Minghong Geng, Shubham Pateria, Budhitama Subagdja, Lin Li, Xin Zhao, Ah-Hwee Tan |
| 2025 | LEKA: LLM-Enhanced Knowledge Augmentation. Xinhao Zhang, Jinghan Zhang, Fengran Mo, Dongjie Wang, Yanjie Fu, Kunpeng Liu |
| 2025 | LLM-TPF: Multiscale Temporal Periodicity-Semantic Fusion LLMs for Time Series Forecasting. Qihong Pan, Haofei Tan, Guojiang Shen, Xiangjie Kong, Mengmeng Wang, Chenyang Xu |
| 2025 | LLM-based Collaborative Agents with Pedagogy-guided Interaction Modeling for Timely Instructive Feedback Generation in Task-oriented Group Discussions. Qihao Yang, Yu Yang, Sixu An, Tianyong Hao, Guandong Xu |
| 2025 | LLM-enhanced Score Function Evolution for Causal Structure Learning. Zidong Wang, Fei Liu, Qi Feng, Qingfu Zhang, Xiaoguang Gao |
| 2025 | LLM4VKG: Leveraging Large Language Models for Virtual Knowledge Graph Construction. Guohui Xiao, Lin Ren, Guilin Qi, Haohan Xue, Marco Di Panfilo, Davide Lanti |
| 2025 | LP-Based Weighted Model Integration over Non-Linear Real Arithmetic. S. Akshay, Supratik Chakraborty, Soroush Farokhnia, Amir Kafshdar Goharshady, Harshit Jitendra Motwani, Dorde Zikelic |
| 2025 | LPDetective: Dusting the LLM Chats for Prompt Template Abusers. Yang Luo, Qingni Shen, Zhonghai Wu |
| 2025 | LRGR: Self-Supervised Incomplete Multi-View Clustering via Local Refinement and Global Realignment. Yanwanyu Xi, Xiao Zheng, Chang Tang, Xingchen Hu, Yuanyuan Liu, Jun-Jie Huang, Xinwang Liu |
| 2025 | LTLf+ and PPLTL+: Extending LTLf and PPLTL to Infinite Traces. Benjamin Aminof, Giuseppe De Giacomo, Sasha Rubin, Moshe Y. Vardi |
| 2025 | Label Distribution Learning with Biased Annotations Assisted by Multi-Label Learning. Zhiqiang Kou, Si Qin, Hailin Wang, Jing Wang, Ming-Kun Xie, Shuo Chen, Yuheng Jia, Tongliang Liu, Masashi Sugiyama, Xin Geng |
| 2025 | Language-Based Bayesian Optimization Research Assistant (BORA). Abdoulatif Cissé, Xenophon Evangelopoulos, Vladimir V. Gusev, Andrew I. Cooper |
| 2025 | Language-Conditioned Open-Vocabulary Mobile Manipulation with Pretrained Models. Shen Tan, Dong Zhou, Xiangyu Shao, Junqiao Wang, Guanghui Sun |
| 2025 | Language-Guided Hybrid Representation Learning for Visual Grounding on Remote Sensing Images. Biao Liu, Xu Liu, Lingling Li, Licheng Jiao, Fang Liu, Xinyu Sun, Youlin Huang |
| 2025 | Large Language Model Meets Constraint Propagation. Alexandre Bonlarron, Florian Régin, Elisabetta De Maria, Jean-Charles Régin |
| 2025 | Large Language Models for Causal Discovery: Current Landscape and Future Directions. Guangya Wan, Yunsheng Lu, Yuqi Wu, Mengxuan Hu, Sheng Li |
| 2025 | Large-Scale Trade-Off Curve Computation for Incentive Allocation with Cardinality and Matroid Constraints. Yu Cong, Chao Xu, Yi Zhou |
| 2025 | Latte: Transfering LLMs' Latent-level Knowledge for Few-shot Tabular Learning. Ruxue Shi, Hengrui Gu, Hangting Ye, Yiwei Dai, Xu Shen, Xin Wang |
| 2025 | Lazy Testing of Machine-Learning Models. Anastasia Isychev, Valentin Wüstholz, Maria Christakis |
| 2025 | Learn Multi-task Anchor: Joint View Imputation and Label Generation for Incomplete Multi-view Clustering. Xinxin Wang, Yongshan Zhang, Yicong Zhou |
| 2025 | Learn from Global Rather Than Local: Consistent Context-Aware Representation Learning for Multi-View Graph Clustering. Lele Fu, Bowen Deng, Sheng Huang, Tianchi Liao, Chuanfu Zhang, Chuan Chen |
| 2025 | Learn to Think: Bootstrapping LLM Logic Through Graph Representation Learning. Hang Gao, Chenhao Zhang, Tie Wang, Junsuo Zhao, Fengge Wu, Changwen Zheng, Huaping Liu |
| 2025 | Learnable Frequency Decomposition for Image Forgery Detection and Localization. Dong Li, Jiaying Zhu, Yidi Liu, Xin Lu, Xueyang Fu, Jiawei Liu, Aiping Liu, Zheng-Jun Zha |
| 2025 | Learning Accurate and Interpretable Decision Trees (Extended Abstract). Maria-Florina Balcan, Dravyansh Sharma |
| 2025 | Learning Advanced Self-Attention for Linear Transformers in the Singular Value Domain. Hyowon Wi, Jeongwhan Choi, Noseong Park |
| 2025 | Learning Causally Disentangled Representations for Fair Personality Detection. Yangfu Zhu, Meiling Li, Yuting Wei, Di Liu, Yuqing Li, Bin Wu |
| 2025 | Learning Dynamical Coupled Operator For High-dimensional Black-box Partial Differential Equations. Yichi Wang, Tian Huang, Dandan Huang, Zhaohai Bai, Xuan Wang, Lin Ma, Haodi Zhang |
| 2025 | Learning Heterogeneous Performance-Fairness Trade-offs in Federated Learning. Rongguang Ye, Ming Tang |
| 2025 | Learning Neural Jump Stochastic Differential Equations with Latent Graph for Multivariate Temporal Point Processes. Yuchen Wang, Dongpeng Hou, Chao Gao, Xianghua Li |
| 2025 | Learning Neural Vocoder from Range-Null Space Decomposition. Andong Li, Tong Lei, Zhihang Sun, Rilin Chen, Erwei Yin, Xiaodong Li, Chengshi Zheng |
| 2025 | Learning Optimal Oblique Decision Trees with (Max)SAT. Florent Avellaneda |
| 2025 | Learning Probabilistic Temporal Logic Specifications for Stochastic Systems. Rajarshi Roy, Yash Pote, Dave Parker, Marta Kwiatkowska |
| 2025 | Learning Real Facial Concepts for Independent Deepfake Detection. Ming-Hui Liu, Harry Cheng, Tianyi Wang, Xin Luo, Xin-Shun Xu |
| 2025 | Learning Robust Multi-view Representation Using Dual-masked VAEs. Jiedong Wang, Kai Guo, Peng Hu, Xi Peng, Hao Wang |
| 2025 | Learning from Logical Constraints with Lower- and Upper-Bound Arithmetic Circuits. Lucile Dierckx, Alexandre Dubray, Siegfried Nijssen |
| 2025 | Learning to Explain: Towards Human-Aligned Explainability in Deep Reinforcement Learning via Attention Guidance. Bokai Ji, Guangxia Li, Yulong Shen, Gang Xiao |
| 2025 | Learning to Extrapolate and Adjust: Two-Stage Meta-Learning for Concept Drift in Online Time Series Forecasting. Weiqi Chen, Zhaoyang Zhu, Yifan Zhang, Lefei Shen, Linxiao Yang, Qingsong Wen, Liang Sun |
| 2025 | LensNet: An End-to-End Learning Framework for Empirical Point Spread Function Modeling and Lensless Imaging Reconstruction. Jiesong Bai, Yuhao YIN, Yihang Dong, Xiaofeng Zhang, Chi-Man Pun, Xuhang Chen |
| 2025 | Let's Group: A Plug-and-Play SubGraph Learning Method for Memory-Efficient Spatio-Temporal Graph Modeling. Wenchao Weng, Hanyu Jiang, Mei Wu, Xiao Han, Haidong Gao, Guojiang Shen, Xiangjie Kong |
| 2025 | Leveraging Artificial Intelligence to Bridge Gaps in Pediatric Oncology Care for Marginalized Spanish-Speaking Communities. Grigorii Khvatskii, Angélica García-Martínez, Deng Pan, Matthew Belcher, Gerónimo Medrano Loera, Dayana Pineda Pérez, Juan Emmanuel Ferrari Muñoz-Ledo, Horacio Márquez-González, Nuno Moniz, Nitesh V. Chawla |
| 2025 | Leveraging Large Language Models for Active Merchant Non-player Characters. Byungjun Kim, Minju Kim, Dayeon Seo, Bugeun Kim |
| 2025 | Leveraging MLLM Embeddings and Attribute Smoothing for Compositional Zero-Shot Learning. Xudong Yan, Songhe Feng, Yang Zhang, Jian Yang, Yueguan Lin, Haojun Fei |
| 2025 | Leveraging Peer-Informed Label Consistency for Robust Graph Neural Networks with Noisy Labels. Kailai Li, Jiawei Sun, Jiong Lou, Zhanbo Feng, Hefeng Zhou, Chentao Wu, Guangtao Xue, Wei Zhao, Jie Li |
| 2025 | Leveraging Personalized PageRank and Higher-Order Topological Structures for Heterophily Mitigation in Graph Neural Networks. Yumeng Wang, Zengyi Wo, Wenjun Wang, Xingcheng Fu, Minglai Shao |
| 2025 | Leveraging Pretrained Diffusion Models for Zero-Shot Part Assembly. Ruiyuan Zhang, Qi Wang, Jiaxiang Liu, Yuchi Huo, Chao Wu |
| 2025 | LiBOG: Lifelong Learning for Black-Box Optimizer Generation. Jiyuan Pei, Yi Mei, Jialin Liu, Mengjie Zhang |
| 2025 | Linear Trading Position with Sparse Spectrum. Zhao-Rong Lai, Haisheng Yang |
| 2025 | ListenNet: A Lightweight Spatio-Temporal Enhancement Nested Network for Auditory Attention Detection. Cunhang Fan, Xiaoke Yang, Hongyu Zhang, Ying Chen, Lu Li, Jian Zhou, Zhao Lv |
| 2025 | LivePoem: Improving the Learning Experience of Classical Chinese Poetry with AI-Generated Musical Storyboards. Qihao Liang, Xichu Ma, Torin Hopkins, Ye Wang |
| 2025 | LoD: Loss-difference OOD Detection by Intentionally Label-Noisifying Unlabeled Wild Data. Chuanxing Geng, Qifei Li, Xinrui Wang, Dong Liang, Songcan Chen, Pong C. Yuen |
| 2025 | Localizing Before Answering: A Benchmark for Grounded Medical Visual Question Answering. Dung Nguyen, Minh Khoi Ho, Huy D. Ta, Thanh Tam Nguyen, Qi Chen, Kumar Rav, Quy Duong Dang, Satwik Ramchandre, Son Lam Phung, Zhibin Liao, Minh-Son To, Johan Verjans, Phi Le Nguyen, Vu Minh Hieu Phan |
| 2025 | Logarithmic Approximations for Fair k-Set Selection. Shi Li, Chenyang Xu, Ruilong Zhang |
| 2025 | LogiCase: Effective Test Case Generation from Logical Description in Competitive Programming. Sicheol Sung, Aditi, Dogyu Kim, Yo-Sub Han, Sang-Ki Ko |
| 2025 | LogiDebrief: A Signal-Temporal Logic Based Automated Debriefing Approach with Large Language Models Integration. Zirong Chen, Ziyan An, Jennifer Reynolds, Kristin Mullen, Stephen Martini, Meiyi Ma |
| 2025 | Logic Distillation: Learning from Code Function by Function for Decision-making Tasks. Dong Chen, Shilin Zhang, Fei Gao, Yueting Zhuang, Siliang Tang, Qidong Liu, Mingliang Xu |
| 2025 | Long-Term Individual Causal Effect Estimation via Identifiable Latent Representation Learning. Ruichu Cai, Junjie Wan, Weilin Chen, Zeqin Yang, Zijian Li, Peng Zhen, Jiecheng Guo |
| 2025 | Low-Light Video Enhancement via Spatial-Temporal Consistent Decomposition. Xiaogang Xu, Kun Zhou, Tao Hu, Jiafei Wu, Ruixing Wang, Hao Peng, Bei Yu |
| 2025 | M3ANet: Multi-scale and Multi-Modal Alignment Network for Brain-Assisted Target Speaker Extraction. Cunhang Fan, Ying Chen, Jian Zhou, Zexu Pan, Jingjing Zhang, Youdian Gao, Xiaoke Yang, Zhengqi Wen, Zhao Lv |
| 2025 | M4Bench: A Benchmark of Multi-domain Multi-granularity Multi-image Understanding for Multi-modal Large Language Models. Xiaojun Ye, Guanbao Liang, Chun Wang, Liangcheng Li, Pengfei Ke, Rui Wang, Bingxin Jia, Gang Huang, Qiao Sun, Sheng Zhou |
| 2025 | MA-RAG: Automating Role Engineering for RESTful APIs with Multi-Head Attention and Retrieval-Augmented Generation. Yang Luo, Qingni Shen, Zhonghai Wu |
| 2025 | MAGE: Multimodal Alignment and Generation Enhancement via Bridging Visual and Semantic Spaces. Shaojun E, Yuchen Yang, Jiaheng Wu, Yan Zhang, Tiejun Zhao, Ziyan Chen |
| 2025 | MASTER: A Multi-granularity Invariant Structure Clustering Scheme for Multi-view Clustering. Suixue Wang, Shilin Zhang, Qingchen Zhang, Peng Li, Weiliang Huo |
| 2025 | MATCH: Modality-Calibrated Hypergraph Fusion Network for Conversational Emotion Recognition. Jiandong Shi, Ming Li, Lu Bai, Feilong Cao, Ke Lu, Jiye Liang |
| 2025 | MC3D-AD: A Unified Geometry-aware Reconstruction Model for Multi-category 3D Anomaly Detection. Jiayi Cheng, Can Gao, Jie Zhou, Jiajun Wen, Tao Dai, Jinbao Wang |
| 2025 | MCD-CLIP: Multi-view Chest Disease Diagnosis with Disentangled CLIP. Songyue Cai, Yujie Mo, Liang Peng, Yucheng Xie, Tao Tong, Xiaofeng Zhu |
| 2025 | MCF-Spouse: A Multi-Label Causal Feature Selection Method with Optimal Spouses Discovery. Lin Ma, Liang Hu, Qiang Huang, Pingting Hao, Juncheng Hu |
| 2025 | MCloudNet: An Ultra-Short-Term Photovoltaic Power Forecasting Framework With Multi-Layer Cloud Coverage. Meng Wan, Tiantian Liu, Yuxuan Bi, Jue Wang, Hui Cui, Rongqiang Cao, Jiaxiang Wang, Peng Shi, Ningming Nie, Yangang Wang |
| 2025 | MEGAD: A Memory-Efficient Framework for Large-Scale Attributed Graph Anomaly Detection. Yifan Zhang, Haolong Xiang, Xiaolong Xu, Zishun Rui, Xiaoyong Li, Lianyong Qi, Fei Dai |
| 2025 | METEOR: Melody-aware Texture-controllable Symbolic Music Re-Orchestration via Transformer VAE. Dinh-Viet-Toan Le, Yi-Hsuan Yang |
| 2025 | METOR: A Unified Framework for Mutual Enhancement of Objects and Relationships in Open-vocabulary Video Visual Relationship Detection. Yongqi Wang, Xinxiao Wu, Shuo Yang |
| 2025 | MGCA-Net: Multi-Graph Contextual Attention Network for Two-View Correspondence Learning. Shuyuan Lin, Mengtin Lo, Haosheng Chen, Yanjie Liang, Qiangqiang Wu |
| 2025 | MHANet: Multi-scale Hybrid Attention Network for Auditory Attention Detection. Lu Li, Cunhang Fan, Hongyu Zhang, Jingjing Zhang, Xiaoke Yang, Jian Zhou, Zhao Lv |
| 2025 | MIRROR: Multi-agent Intra- and Inter-Reflection for Optimized Reasoning in Tool Learning. Zikang Guo, Benfeng Xu, Xiaorui Wang, Zhendong Mao |
| 2025 | MMET: A Multi-Input and Multi-Scale Transformer for Efficient PDEs Solving. Yichen Luo, Jia Wang, Dapeng Lan, Yu Liu, Zhibo Pang |
| 2025 | MMGIA: Gradient Inversion Attack Against Multimodal Federated Learning via Intermodal Correlation. Lele Zheng, Yang Cao, Leo Yu Zhang, Wei Wang, Yulong Shen, Xiaochun Cao |
| 2025 | MMNet: Missing-Aware and Memory-Enhanced Network for Multivariate Time Series Imputation. Xiaoye Miao, Han Shi, Yi Yuan, Daozhan Pan, Yangyang Wu, Xiaohua Pan |
| 2025 | MPPQ: Enhancing Post-Training Quantization for LLMs via Mixed Supervision, Proxy Rounding, and Pre-Searching. Mingrun Wei, Yeyu Yan, Dong Wang |
| 2025 | MS-DPPs: Multi-Source Determinantal Point Processes for Contextual Diversity Refinement of Composite Attributes in Text to Image Retrieval. Naoya Sogi, Takashi Shibata, Makoto Terao, Masanori Suganuma, Takayuki Okatani |
| 2025 | MSCI: Addressing CLIP's Inherent Limitations for Compositional Zero-Shot Learning. Yue Wang, Shuai Xu, Xuelin Zhu, Yicong Li |
| 2025 | MSMAR-RL: Multi-Step Masked-Attention Recovery Reinforcement Learning for Safe Maneuver Decision in High-Speed Pursuit-Evasion Game. Yang Zhao, Wenzhe Zhao, Xuelong Li |
| 2025 | MSVIT: Improving Spiking Vision Transformer Using Multi-scale Attention Fusion. Wei Hua, Chenlin Zhou, Jibin Wu, Yansong Chua, Yangyang Shu |
| 2025 | MTGIB-UNet: A Multi-Task Graph Information Bottleneck and Uncertainty Weighted Network for ADMET Prediction. Xuqiang Li, Wenjie Du, Jun Xia, Jianmin Wang, Xiaoqi Wang, Yang Yang, Yang Wang |
| 2025 | MTPNet: Multi-Grained Target Perception for Unified Activity Cliff Prediction. Zishan Shu, Yufan Deng, Hongyu Zhang, Zhiwei Nie, Jie Chen |
| 2025 | MVP-CBM: Multi-layer Visual Preference-enhanced Concept Bottleneck Model for Explainable Medical Image Classification. Chunjiang Wang, Kun Zhang, Yandong Liu, Zhiyang He, Xiaodong Tao, S. Kevin Zhou |
| 2025 | M^2LLM: Multi-view Molecular Representation Learning with Large Language Models. Jiaxin Ju, Yizhen Zheng, Huan Yee Koh, Can Wang, Shirui Pan |
| 2025 | Machine Learning Driven Optimization of Fe-Based TMCs for Photodynamic Therapy. Vladimir Manuilov, Antonio Francés-Monerris, Abdelazim M. A. Abdelgawwad, Daniel Escudero, Ilya Makarov |
| 2025 | MagicTailor: Component-Controllable Personalization in Text-to-Image Diffusion Models. Donghao Zhou, Jiancheng Huang, Jinbin Bai, Jiaze Wang, Hao Chen, Guangyong Chen, Xiaowei Hu, Pheng-Ann Heng |
| 2025 | Mamba-Based Graph Convolutional Networks: Tackling Over-smoothing with Selective State Space. Xin He, Yili Wang, Wenqi Fan, Xu Shen, Xin Juan, Rui Miao, Xin Wang |
| 2025 | Map2Traj: Street Map Piloted Zero-shot Trajectory Generation Method for Wireless Network Optimization. Zhenyu Tao, Wei Xu, Xiaohu You |
| 2025 | Mask Does Not Matter: A Unified Latent Diffusion-Enhanced Framework for Mask-Free Virtual Try-On. Chenghu Du, Junyin Wang, Kai Liu, Shengwu Xiong, Yi Rong |
| 2025 | MaskDGNN: Self-Supervised Dynamic Graph Neural Networks with Activeness-aware Temporal Masking. Yiming He, Xiang Li, Zhongying Zhao, Haobing Liu, Peilan He, Yanwei Yu |
| 2025 | Mat-Instructions: A Large-Scale Inorganic Material Instruction Dataset for Large Language Models. Ke Liu, Shangde Gao, Yichao Fu, Xiaoliang Wu, Shuo Tong, Ajitha Rajan, Hao Xu |
| 2025 | MatchXplain: Analyzing Preferences, Explaining Outcomes, and Simplifying Decisions. Hadi Hosseini, Yubo Jing, Ronak Singh |
| 2025 | Maximin Share Guarantees for Few Agents with Subadditive Valuations. George Christodoulou, Vasilis Christoforidis, Symeon Mastrakoulis, Alkmini Sgouritsa |
| 2025 | Maximum Entropy Softmax Policy Gradient via Entropy Advantage Estimation. Jean Seong Bjorn Choe, Jong-Kook Kim |
| 2025 | Meaning Holism and Indeterminacy of Reference in Ontologies (Extended Abstract). Adrien Barton, Paul Fabry, Jean-François Ethier |
| 2025 | Measuring and Mitigating Homelessness Bias: Leveraging AI for Social Impact. Jonathan A. Karr Jr. |
| 2025 | Mechanism Design for Large Language Models (Extended Abstract). Paul Dütting, Vahab Mirrokni, Renato Paes Leme, Haifeng Xu, Song Zuo |
| 2025 | MedDiT: A Knowledge-Controlled Diffusion Transformer Framework for Dynamic Medical Image Generation in Virtual Simulated Patient. Yanzeng Li, Cheng Zeng, Jinchao Zhang, Jie Zhou, Lei Zou |
| 2025 | MedualTime: A Dual-Adapter Language Model for Medical Time Series-Text Multimodal Learning. Jiexia Ye, Weiqi Zhang, Ziyue Li, Jia Li, Meng Zhao, Fugee Tsung |
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| 2025 | Neuromorphic Sequential Arena: A Benchmark for Neuromorphic Temporal Processing. Xinyi Chen, Chenxiang Ma, Yujie Wu, Kay Chen Tan, Jibin Wu |
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| 2025 | Prototype-based Optimal Transport for Out-of-Distribution Detection. Ao Ke, Wenlong Chen, Chuanwen Feng, Yukun Cao, Xike Xie, S. Kevin Zhou, Lei Feng |
| 2025 | Prototype-guided Knowledge Propagation with Adaptive Learning for Lifelong Person Re-identification. Zhijie Lu, Wuxuan Shi, He Li, Mang Ye |
| 2025 | Proven Approximation Guarantees in Multi-Objective Optimization: SPEA2 Beats NSGA-II. Yasser Alghouass, Benjamin Doerr, Martin S. Krejca, Mohammed Lagmah |
| 2025 | Pseudo-Label Reconstruction for Partial Multi-Label Learning. Yu Chen, Fang Li, Na Han, Guanbin Li, Hongbo Gao, Sixian Chan, Xiaozhao Fang |
| 2025 | Public Signaling in Markets with Information Asymmetry Using a Limited Number of Signals. Xu Zhao, Ren Liu, Weiran Shen |
| 2025 | PyTorch-Lifestream: Learning Embeddings on Discrete Event Sequences. Artem Sakhno, Ivan Kireev, Dmitrii Babaev, Maxim Savchenko, Gleb Gusev, Andrey V. Savchenko |
| 2025 | Q-Detection: A Quantum-Classical Hybrid Poisoning Attack Detection Method. Haoqi He, Xiaokai Lin, Jiancai Chen, Yan Xiao |
| 2025 | Q-MiniSAM2: A Quantization-based Benchmark for Resource-Efficient Video Segmentation. Xuanxuan Ren, Xiangyu Li, Kun Wei, Xu Yang, Yanhua Yang |
| 2025 | QA-MDT: Quality-aware Masked Diffusion Transformer for Enhanced Music Generation. Chang Li, Ruoyu Wang, Lijuan Liu, Jun Du, Yixuan Sun, Zilu Guo, Zhengrong Zhang, Yuan Jiang, Jianqing Gao, Feng Ma |
| 2025 | QBR - A Question-Bank-Based Approach to Fine-Grained Legal Knowledge Retrieval for the General Public. Mingruo Yuan, Ben Kao, Tien-Hsuan Wu |
| 2025 | QiMeng-TensorOp: One-Line Prompt is Enough for High-Performance Tensor Operator Generation with Hardware Primitives. Xuzhi Zhang, Shaohui Peng, Qirui Zhou, Yuanbo Wen, Qi Guo, Ruizhi Chen, Xinguo Zhu, Weiqiang Xiong, Haixin Chen, Congying Ma, Ke Gao, Chen Zhao, Yanjun Wu, Yunji Chen, Ling Li |
| 2025 | Quantifying the Self-Interest Level of Markov Social Dilemmas. Richard Willis, Yali Du, Joel Z. Leibo, Michael Luck |
| 2025 | QuantileFormer: Probabilistic Time Series Forecasting with a Pattern-Mixture Decomposed VAE Transformer. Yimiao Shao, Wenzhong Li, Kang Xia, Kaijie Lin, Mingkai Lin, Sanglu Lu |
| 2025 | Query-Based and Unnoticeable Graph Injection Attack from Neighborhood Perspective. Chang Liu, Hai Huang, Xingquan Zuo |
| 2025 | R2DQG: A Quality Meets Diversity Framework for Question Generation over Knowledge Bases. Yimeng Ren, Yanhua Yu, Lizi Liao, Yuhu Shang, Kangkang Lu, Mingliang Yan |
| 2025 | RAMer: Reconstruction-based Adversarial Model for Multi-party Multi-modal Multi-label Emotion Recognition. Xudong Yang, Yizhang Zhu, Hanfeng Liu, Zeyi Wen, Nan Tang, Yuyu Luo |
| 2025 | RDPA: Real-Time Distributed-Concentrated Penetration Attack for Point Cloud Learning. Youtong Shi, Lixin Chen, Yu Zang, Chenhui Yang, Cheng Wang |
| 2025 | REVEAL: Multi-turn Evaluation of Image-Input Harms for Vision LLMs. Madhur Jindal, Saurabh Deshpande |
| 2025 | RF-DTR: A Multi-Stage DCT Token Regression Network for Progressive Rib Fracture Mask Refinement. Shouyu Chen, Liang Hu, Juntao Wang, Usman Naseem, Zhongyuan Lai, Qi Zhang |
| 2025 | RLBCD: Residual-guided Latent Brownian-bridge Co-Diffusion for Anatomical-to-Metabolic Image Synthesis. Tianxu Lv, Hongnian Tian, Jiansong Fan, Yuan Liu, Lihua Li, Xiang Pan |
| 2025 | RLMiniStyler: Light-weight RL Style Agent for Arbitrary Sequential Neural Style Generation. Jing Hu, Chengming Feng, Shu Hu, Ming-Ching Chang, Xin Li, Xi Wu, Xin Wang |
| 2025 | RPMIL: Rethinking Uncertainty-Aware Probabilistic Multiple Instance Learning for Whole Slide Pathology Diagnosis. Zhikang Zhao, Kaitao Chen, Jing Zhao |
| 2025 | RRG-Mamba: Efficient Radiology Report Generation with State Space Model. Xiaodi Hou, Xiaobo Li, Mingyu Lu, Simiao Wang, Yijia Zhang |
| 2025 | RTdetector: Deep Transformer Networks for Time Series Anomaly Detection Based on Reconstruction Trend. XinHong Liu, Xiaoliang Li, Yangfan Li, Fengxiao Tang, Ming Zhao |
| 2025 | Randomised Optimism via Competitive Co-Evolution for Matrix Games with Bandit Feedback. Shishen Lin |
| 2025 | Rating AI Models for Robustness Through a Causal Lens. Kausik Lakkaraju |
| 2025 | RePST: Language Model Empowered Spatio-Temporal Forecasting via Semantic-Oriented Reprogramming. Hao Wang, Jindong Han, Wei Fan, Leilei Sun, Hao Liu |
| 2025 | Reasoning About Causal Knowledge in Nondeterministic Domains. Shakil M. Khan, Yves Lespérance, Maryam Rostamigiv |
| 2025 | Recalling The Forgotten Class Memberships: Unlearned Models Can Be Noisy Labelers to Leak Privacy. Zhihao Sui, Liang Hu, Jian Cao, Dora D. Liu, Usman Naseem, Zhongyuan Lai, Qi Zhang |
| 2025 | Recommender Systems for Democracy: Toward Adversarial Robustness in Voting Advice Applications. Frédéric Berdoz, Dustin Brunner, Yann Vonlanthen, Roger Wattenhofer |
| 2025 | Reflective Verbal Reward Design for Pluralistic Alignment. Carter Blair, Kate Larson, Edith Law |
| 2025 | RegionMatch: Pixel-Region Collaboration for Semi-Supervised Semantic Segmentation in Remote Sensing Images. Xiaoqian Zhu, Xiangrong Zhang, Tianyang Zhang, Chaowei Fang, Xu Tang, Licheng Jiao |
| 2025 | Reinforced In-Context Black-Box Optimization. Lei Song, Chen-Xiao Gao, Ke Xue, Chenyang Wu, Dong Li, Jianye Hao, Zongzhang Zhang, Chao Qian |
| 2025 | Reinforcement Learning for Hybrid Charging Stations Planning and Operation Considering Fixed and Mobile Chargers. Yanchen Zhu, Honghui Zou, Chufan Liu, Yuyu Luo, Yuankai Wu, Yuxuan Liang |
| 2025 | Relation-Augmented Dueling Bayesian Optimization via Preference Propagation. Xiang Xia, Xiang Shu, Shuo Liu, Yiyi Zhu, Yijie Zhou, Weiye Wang, Bingdong Li, Hong Qian |
| 2025 | Relational Decomposition for Program Synthesis. Céline Hocquette, Andrew Cropper |
| 2025 | Reliable Disentanglement Multi-view Learning Against View Adversarial Attacks. Xuyang Wang, Siyuan Duan, Qizhi Li, Guiduo Duan, Yuan Sun, Dezhong Peng |
| 2025 | Reliable and Calibrated Semantic Occupancy Prediction by Hybrid Uncertainty Learning. Song Wang, Zhongdao Wang, Jiawei Yu, Wentong Li, Bailan Feng, Junbo Chen, Jianke Zhu |
| 2025 | Reliable and Diverse Hierarchical Adapter for Zero-shot Video Classification. Wenxuan Ge, Peng Huang, Rui Yan, Hongyu Qu, Guosen Xie, Xiangbo Shu |
| 2025 | RenderBender: A Survey on Adversarial Attacks Using Differentiable Rendering. Matthew Hull, Haoran Wang, Matthew Lau, Alec Helbling, Mansi Phute, Chao Zhang, Zsolt Kira, Willian T. Lunardi, Martin Andreoni, Wenke Lee, Duen Horng Chau |
| 2025 | RepObE: Representation Learning-Enhanced Obfuscation Encryption Modular Semantic Task Framework. Limei Lin, Jinpeng Xu, Xiaoding Wang, Liang Chen, Sun-Yuan Hsieh, Jie Wu |
| 2025 | ReplayCAD: Generative Diffusion Replay for Continual Anomaly Detection. Lei Hu, Zhiyong Gan, Ling Deng, Jinglin Liang, Lingyu Liang, Shuangping Huang, Tianshui Chen |
| 2025 | Representation Learning with Mutual Influence of Modalities for Node Classification in Multi-Modal Heterogeneous Networks. Jiafan Li, Jiaqi Zhu, Liang Chang, Yilin Li, Miaomiao Li, Yang Wang, Yi Yang, Hongan Wang |
| 2025 | Requirement Patterns for Engineering Multiagent Interaction Protocols. Amit K. Chopra, Samuel H. Christie V., Munindar P. Singh |
| 2025 | Resistance is Futile: Gradually Declining Immunity Retains the Exponential Duration of Immunity-Free Diffusion. Andreas Göbel, Nicolas Klodt, Martin S. Krejca, Marcus Pappik |
| 2025 | Resolving Conflicting Evidence in Automated Fact-Checking: A Study on Retrieval-Augmented LLMs. Ziyu Ge, Yuhao Wu, Daniel Wai Kit Chin, Roy Ka-Wei Lee, Rui Cao |
| 2025 | Responsibility Anticipation and Attribution in LTLf. Giuseppe De Giacomo, Emiliano Lorini, Timothy Parker, Gianmarco Parretti |
| 2025 | Responsibility Gap in Collective Decision Making. Pavel Naumov, Jia Tao |
| 2025 | Rethinking Contrastive Learning in Graph Anomaly Detection: A Clean-View Perspective. Di Jin, Jingyi Cao, Xiaobao Wang, Bingdao Feng, Dongxiao He, Longbiao Wang, Jianwu Dang |
| 2025 | Rethinking Federated Graph Learning: A Data Condensation Perspective. Hao Zhang, Xunkai Li, Yinlin Zhu, Lianglin Hu |
| 2025 | Rethinking Graph Contrastive Learning Through Relative Similarity Preservation. Zhiyuan Ning, Pengfei Wang, Ziyue Qiao, Pengyang Wang, Yuanchun Zhou |
| 2025 | Rethinking Remaining Useful Life Prediction with Scarce Time Series Data: Regression Under Indirect Supervision. Jiaxiang Cheng, Yipeng Pang, Guoqiang Hu |
| 2025 | Rethinking Removal Attack and Fingerprinting Defense for Model Intellectual Property Protection: A Frequency Perspective. Cheng Zhang, Yang Xu, Tingqiao Huang, Zixing Zhang |
| 2025 | RetroMoE: A Mixture-of-Experts Latent Translation Framework for Single-step Retrosynthesis. Xinjie Li, Abhinav Verma |
| 2025 | Revealing Concept Shift in Spatio-Temporal Graphs via State Learning. Kuo Yang, Yunhe Guo, Qihe Huang, Zhengyang Zhou, Yang Wang |
| 2025 | Revisiting Continual Ultra-fine-grained Visual Recognition with Pre-trained Models. Pengcheng Zhang, Xiaohan Yu, Meiying Gu, Yuchen Wu, Yongsheng Gao, Xiao Bai |
| 2025 | Revisiting Proportional Allocation with Subsidy: Simplification and Improvements. Xiaowei Wu, Quan Xue, Shengwei Zhou |
| 2025 | Reward Adaptation via Q-Manipulation: Provably Beneficial Reward Function Transfer in Reinforcement Learning. Kevin Jatin Vora |
| 2025 | Reward Models in Deep Reinforcement Learning: A Survey. Rui Yu, Shenghua Wan, Yucen Wang, Chen-Xiao Gao, Le Gan, Zongzhang Zhang, De-Chuan Zhan |
| 2025 | Rewarding Explainability in Drug Repurposing with Knowledge Graphs. Susana Nunes, Samy Badreddine, Catia Pesquita |
| 2025 | Richer Semantics, Better Alignment: Aligning Visual Features with Explicit and Enriched Semantics for Visible-Infrared Person Re-Identification. Neng Dong, Shuanglin Yan, Liyan Zhang, Jinhui Tang |
| 2025 | Riding the Wave: Multi-Scale Spatial-Temporal Graph Learning for Highway Traffic Flow Prediction Under Overload Scenarios. Xigang Sun, Jiahui Jin, Hancheng Wang, Xiangguo Sun, Xiaoliang Wang, Jun Zhu |
| 2025 | Risk-Aware Task Migration for Multiplex Unmanned Swarm Networks in Adversarial Environments. Kai Di, Tienyu Zuo, Pan Li, Yuanshuang Jiang, Fulin Chen, Yichuan Jiang |
| 2025 | RoLocMe: A Robust Multi-agent Source Localization System with Learning-based Map Estimation. Thanh Dat Le, Lyuzhou Ye, Yan Huang |
| 2025 | Robult: Leveraging Redundancy and Modality-Specific Features for Robust Multimodal Learning. Duy A. Nguyen, Abhi Kamboj, Minh N. Do |
| 2025 | Robust Finite-Memory Policy Gradients for Hidden-Model POMDPs. Maris F. L. Galesloot, Roman Andriushchenko, Milan Ceska, Sebastian Junges, Nils Jansen |
| 2025 | Robust Graph Contrastive Learning for Incomplete Multi-view Clustering. Deyin Zhuang, Jian Dai, Xingfeng Li, Xi Wu, Yuan Sun, Zhenwen Ren |
| 2025 | Robust Misinformation Detection by Visiting Potential Commonsense Conflict. Bing Wang, Ximing Li, Changchun Li, Bingrui Zhao, Bo Fu, Renchu Guan, Shengsheng Wang |
| 2025 | RobustHAR: Multi-scale Spatial-temporal Masked Self-supervised Pre-training for Robust Human Activity Recognition. Xiao Liu, Guan Yuan, Yanmei Zhang, Shang Liu, Qiuyan Yan |
| 2025 | RobustX: Robust Counterfactual Explanations Made Easy. Junqi Jiang, Luca Marzari, Aaryan Purohit, Francesco Leofante |
| 2025 | Robustness in Single-Audience Value-based Abstract Argumentation: Complexity Results. Bettina Fazzinga, Sergio Flesca, Filippo Furfaro |
| 2025 | Robustness to Spurious Correlations via Dynamic Knowledge Transfer. Xiaoling Zhou, Wei Ye, Zhemg Lee, Shikun Zhang |
| 2025 | Rolling in Classical Planning with Conditional Effects and Constraints. Matteo Cardellini, Enrico Giunchiglia |
| 2025 | RotateKV: Accurate and Robust 2-Bit KV Cache Quantization for LLMs via Outlier-Aware Adaptive Rotations. Zunhai Su, Hanyu Wei, Zhe Chen, Wang Shen, Linge Li, Huangqi Yu, Kehong Yuan |
| 2025 | Rotation Invariant Spatial Networks for Single-View Point Cloud Classification. Feng Luan, Jiarui Hu, Changshi Zhou, Zhipeng Wang, Jiguang Yue, Yanmin Zhou, Bin He |
| 2025 | Rule-Guided Reinforcement Learning Policy Evaluation and Improvement. Martin Tappler, Ignacio D. Lopez-Miguel, Sebastian Tschiatschek, Ezio Bartocci |
| 2025 | Run Like a Neural Network, Explain Like k-Nearest Neighbor. Xiaomeng Ye, David Leake, Yu Wang, David Crandall |
| 2025 | S-EPOA: Overcoming the Indistinguishability of Segments with Skill-Driven Preference-Based Reinforcement Learning. Ni Mu, Yao Luan, Yiqin Yang, Bo Xu, Qing-Shan Jia |
| 2025 | SAFE: Structured Argumentation for Fact-checking with Explanations. Xiaoou Wang, Elena Cabrio, Serena Villata |
| 2025 | SAHAY: Multimodal, Privacy-Preserving AI for Suicide Risk Detection and Intervention in India. Salam Michael Singh, Manik Inder Singh Sethi, Suresh Bada Math, Tanmoy Chakraborty |
| 2025 | SALE-MLP: Structure Aware Latent Embeddings for GNN to Graph-free MLP Distillation. Harsh Pal, Sarthak Malik, Rajat Patel, Aakarsh Malhotra |
| 2025 | SAP: Privacy-Preserving Fine-Tuning on Language Models with Split-and-Privatize Framework. Xicong Shen, Yang Liu, Yi Liu, Peiran Wang, Huiqi Liu, Jue Hong, Bing Duan, Zirui Huang, Yunlong Mao, Ye Wu, Sheng Zhong |
| 2025 | SCNNs: Spike-based Coupling Neural Networks for Understanding Structural-Functional Relationships in the Human Brain. Shaolong Wei, Shu Jiang, Mingliang Wang, Liang Sun, Haonan Rao, Weiping Ding, Jiashuang Huang |
| 2025 | SCOUT: Semi-supervised Camouflaged Object Detection by Utilizing Text and Adaptive Data Selection. Weiqi Yan, Lvhai Chen, Shengchuan Zhang, Yan Zhang, Liujuan Cao |
| 2025 | SCVBench: A Benchmark with Multi-turn Dialogues for Story-Centric Video Understanding. Sisi You, Bowen Yuan, Bing-Kun Bao |
| 2025 | SDDiff: Boosting Radar Perception via Spatial-Doppler Diffusion. Shengpeng Wang, Xin Luo, Yulong Xie, Wei Wang |
| 2025 | SE(3)-Equivariant Diffusion Models for 3D Object Analysis. Min Xie, Jieyu Zhao, Kedi Shen, Kangxin Chen |
| 2025 | SEE: Spherical Embedding Expansion for Improving Deep Metric Learning (Extended Abstract). Binh Minh Le, Simon S. Woo |
| 2025 | SEP: A General Lossless Compression Framework with Semantics Enhancement and Multi-Stream Pipelines. Meng Wan, Rongqiang Cao, Yanghao Li, Jue Wang, Zijian Wang, Qi Su, Lei Qiu, Peng Shi, Yangang Wang, Chong Li |
| 2025 | SHIELD: A Self-supervised, Silicosis-focused Hierarchical Imaging Framework for Occupational Lung Disease Diagnosis. Yasmeena Akhter, Rishabh Ranjan, Richa Singh, Mayank Vatsa |
| 2025 | SIFAR: A Simple Faster Accelerated Variance-Reduced Gradient Method. Zhize Li |
| 2025 | SMILE: A Scale-aware Multiple Instance Learning Method for Multicenter STAS Lung Cancer Histopathology Diagnosis. Liangrui Pan, Xiaoyu Li, Yutao Dou, Qiya Song, Jiadi Luo, Qingchun Liang, Shaoliang Peng |
| 2025 | SOTA: Spike-Navigated Optimal TrAnsport Saliency Region Detection in Composite-bias Videos. Wenxuan Liu, Yao Deng, Kang Chen, Xian Zhong, Zhaofei Yu, Tiejun Huang |
| 2025 | SPARC: An AI-Based Speech Processing and Real-Time Correction System. TingRay Chung, Pin-Yu Chen |
| 2025 | SPoRt - Safe Policy Ratio: Certified Training and Deployment of Task Policies in Model-Free RL. Jacques Cloete, Nikolaus Vertovec, Alessandro Abate |
| 2025 | SRA-MCTS: Self-driven Reasoning Augmentation with Monte Carlo Tree Search for Code Generation. Bin Xu, Yiguan Lin, Yinghao Li, Yang Gao |
| 2025 | SSPNet: Leveraging Robust Medication Recommendation with History and Knowledge. Haodi Zhang, Jiawei Wen, Jiahong Li, Yuanfeng Song, Liang-Jie Zhang, Lin Ma |
| 2025 | SSTrack: Sample-interval Scheduling for Lightweight Visual Object Tracking. Yutong Kou, Shubo Lin, Liang Li, Bing Li, Weiming Hu, Jin Gao |
| 2025 | ST-TAR: An Efficient Spatio-Temporal Learning Framework for Traffic Accident Risk Forecasting. Hongyu Wang, Lisi Chen, Shuo Shang, Peng Han, Christian S. Jensen |
| 2025 | ST-USleepNet: A Spatial-Temporal Coupling Prominence Network for Multi-Channel Sleep Staging. Jingying Ma, Qika Lin, Ziyu Jia, Mengling Feng |
| 2025 | STAMImputer: Spatio-Temporal Attention MoE for Traffic Data Imputation. Yiming Wang, Hao Peng, Senzhang Wang, Haohua Du, Chunyang Liu, Jia Wu, Guanlin Wu |
| 2025 | STLSP: Integrating Structure and Text with Large Language Models for Link Sign Prediction of Networks. Lijia Ma, Haoyang Fu, Zhijie Cao, Xiongnan Jin, Qiuzhen Lin, Jianqiang Li |
| 2025 | Safety of Embodied Navigation: A Survey. Zixia Wang, Jia Hu, Ronghui Mu |
| 2025 | Sample-Efficient Behavior Cloning Using General Domain Knowledge. Feiyu Zhu, Jean Oh, Reid G. Simmons |
| 2025 | SandboxSocial: A Sandbox for Social Media Using Multimodal AI Agents. Maximilian Puelma Touzel, Sneheel Sarangi, Gayatri Krishnakumar, Busra Tugce Gurbuz, Austin Welch, Zachary Yang, Andreea Musulan, Hao Yu, Ethan Kosak-Hine, Tom Gibbs, Camille Thibault, Reihaneh Rabbany, Jean-François Godbout, Dan Zhao, Kellin Pelrine |
| 2025 | Sanitizing Backdoored Graph Neural Networks: A Multidimensional Approach. Rong Zhao, Jilian Zhang, Yu Wang, Yinyan Zhang, Jian Weng |
| 2025 | Scalable Graph Classification via Random Walk Fingerprints (Extended Abstract). Peiyan Li, Honglian Wang, Christian Böhm |
| 2025 | Scalable Multi-Stage Influence Function for Large Language Models via Eigenvalue-Corrected Kronecker-Factored Parameterization. Yuntai Bao, Xuhong Zhang, Tianyu Du, Xinkui Zhao, Jiang Zong, Hao Peng, Jianwei Yin |
| 2025 | Scalable Primal Heuristics Using Graph Neural Networks for Combinatorial Optimization (Abstract Reprint). Furkan Cantürk, Taha Varol, Reyhan Aydogan, Okan Örsan Özener |
| 2025 | Scalable Speed-ups for the SMS-EMOA from a Simple Aging Strategy. Mingfeng Li, Weijie Zheng, Benjamin Doerr |
| 2025 | Scan-and-Print: Patch-level Data Summarization and Augmentation for Content-aware Layout Generation in Poster Design. HsiaoYuan Hsu, Yuxin Peng |
| 2025 | Screening, Rectifying, and Re-Screening: A Unified Framework for Tuning Vision-Language Models with Noisy Labels. Chaowei Fang, Hangfei Ma, Zhihao Li, De Cheng, Yue Zhang, Guanbin Li |
| 2025 | Search Swarm: Multiagent Large Language Models Framework for E-commerce Product Search. Nagim Isyanbaev, Ilya Makarov |
| 2025 | SecV: LLM-based Secure Verilog Generation with Clue-Guided Exploration on Hardware-CWE Knowledge Graph. Fanghao Fan, Yingjie Xia, Li Kuang |
| 2025 | Secure and Efficient Watermarking for Latent Diffusion Models in Model Distribution Scenarios. Liangqi Lei, Keke Gai, Jing Yu, Liehuang Zhu, Qi Wu |
| 2025 | Seeing the Unseen: Composing Outliers for Compositional Zero-Shot Learning. Chenchen Jing, Mingyu Liu, Hao Chen, Yuling Xi, Xingyuan Bu, Dong Gong, Chunhua Shen |
| 2025 | Seeking Proxy Point via Stable Feature Space for Noisy Correspondence Learning. Yucheng Xie, Songyue Cai, Tao Tong, Ping Hu, Xiaofeng Zhu |
| 2025 | Self-Classification Enhancement and Correction for Weakly Supervised Object Detection. Yufei Yin, Lechao Cheng, Wengang Zhou, Jiajun Deng, Zhou Yu, Houqiang Li |
| 2025 | Self-Consistent Model-based Adaptation for Visual Reinforcement Learning. Xinning Zhou, Chengyang Ying, Yao Feng, Hang Su, Jun Zhu |
| 2025 | Self-calibration Enhanced Whole Slide Pathology Image Analysis. Haoming Luo, Xiaotian Yu, Shengxuming Zhang, Jiabin Xia, Jian Yang, Yuning Sun, Xiuming Zhang, Jing Zhang, Zunlei Feng |
| 2025 | Self-supervised End-to-end ToF Imaging Based on RGB-D Cross-modal Dependency. Weihang Wang, Jun Wang, Fei Wen |
| 2025 | Semantic-Guided Diffusion Model for Single-Step Image Super-Resolution. Zihang Liu, Zhenyu Zhang, Hao Tang |
| 2025 | Semantic-Space-Intervened Diffusive Alignment for Visual Classification. Zixuan Li, Lei Meng, Guoqing Chao, Wei Wu, Yimeng Yang, Xiaoshuo Yan, Zhuang Qi, Xiangxu Meng |
| 2025 | Semi-Clairvoyant Scheduling of Speculative Decoding Requests to Minimize LLM Inference Latency. Ruixiao Li, Fahao Chen, Peng Li |
| 2025 | Sentiment-enhanced Multi-hop Connected Graph Attention Network for Multimodal Aspect-Based Sentiment Analysis. Linlin Zhu, Heli Sun, Xiaoyong Huang, Qi Zhang, Ruichen Cao, Liang He |
| 2025 | SepALM: Audio Language Models Are Error Correctors for Robust Speech Separation. Zhaoxi Mu, Xinyu Yang, Gang Wang |
| 2025 | SeqPose: An End-to-End Framework to Unify Single-frame and Video-based RGB Category-Level Pose Estimation. Yuzhu Ji, Mingshan Sun, Jianyang Shi, Xiaoke Jiang, Yiqun Zhang, Haijun Zhang |
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| 2025 | SetKE: Knowledge Editing for Knowledge Elements Overlap. Yifan Wei, Xiaoyan Yu, Ran Song, Hao Peng, Angsheng Li |
| 2025 | Settling the Complexity of Popularity in Additively Separable and Fractional Hedonic Games. Martin Bullinger, Matan Gilboa |
| 2025 | Shaping Shared Languages: Human and Large Language Models' Inductive Biases in Emergent Communication. Tom Kouwenhoven, Max Peeperkorn, Roy De Kleijn, Tessa Verhoef |
| 2025 | Shaping a Stabilized Video by Mitigating Unintended Changes for Concept-Augmented Video Editing. Mingce Guo, Jingxuan He, Yufei Yin, Zhangye Wang, Shengeng Tang, Lechao Cheng |
| 2025 | Shapley Value Computation in Ontology-Mediated Query Answering (Extended Abstract). Meghyn Bienvenu, Diego Figueira, Pierre Lafourcade |
| 2025 | Sharpness-aware Zeroth-order Optimization for Graph Transformers. Yang Liu, Chuan Zhou, Yuhan Lin, Shuai Zhang, Yang Gao, Zhao Li, Shirui Pan |
| 2025 | ShortcutProbe: Probing Prediction Shortcuts for Learning Robust Models. Guangtao Zheng, Wenqian Ye, Aidong Zhang |
| 2025 | Simulate, Refine and Integrate: Strategy Synthesis for Efficient SMT Solving. Bingzhe Zhou, Hannan Wang, Yuan Yao, Taolue Chen, Feng Xu, Xiaoxing Ma |
| 2025 | Simulating Misinformation Diffusion on Social Media Through CoNVaI: A Textual- and Agent-Based Diffusion Model. Raquel Rodríguez-García, Roberto Centeno, Álvaro Rodrigo |
| 2025 | Single-Node Trigger Backdoor Attacks in Graph-Based Recommendation Systems. Runze Li, Di Jin, Xiaobao Wang, Dongxiao He, Bingdao Feng, Zhen Wang |
| 2025 | Situational-Constrained Sequential Resources Allocation via Reinforcement Learning. Libo Zhang, Yang Chen, Toru Takisaka, Kaiqi Zhao, Weidong Li, Jiamou Liu |
| 2025 | Sketch Decompositions for Classical Planning via Deep Reinforcement Learning. Michael Aichmüller, Hector Geffner |
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| 2025 | Smart Contracts for Trustless Sampling of Correlated Equilibria. Togzhan Barakbayeva, Zhuo Cai, Amir Kafshdar Goharshady, Karaneh Keypoor |
| 2025 | SmartSpatial: Enhancing 3D Spatial Awareness in Stable Diffusion with a Novel Evaluation Framework. Mao Xun Huang, Brian J. Chan, Hen-Hsen Huang |
| 2025 | Smoothed Online Convex Optimization with Delayed Feedback. Sifan Yang, Wenhao Yang, Wei Jiang, Yuanyu Wan, Lijun Zhang |
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| 2025 | Soft Reasoning Paths for Knowledge Graph Completion. Yanning Hou, Sihang Zhou, Ke Liang, Lingyuan Meng, Xiaoshu Chen, Ke Xu, Siwei Wang, Xinwang Liu, Jian Huang |
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| 2025 | Solving QNP and FOND+ with Generating, Testing and Forbidding. Zheyuan Shi, Hao Dong, Yongmei Liu |
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| 2025 | SpaceDet: A Large-scale Space-based Image Dataset and RSO Detection for Space Situational Awareness. Jiaping Xiao, Rangya Zhang, Yuhang Zhang, Lu Bai, Qianlei Jia, Mir Feroskhan |
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| 2025 | Stability and Generalization for Stochastic (Compositional) Optimizations. Xiaokang Pan, Jin Liu, Hulin Kuang, Youqi Li, Lixing Chen, Zhe Qu |
| 2025 | Stabilizing Holistic Semantics in Diffusion Bridge for Image Inpainting. Jinjia Peng, Mengkai Li, Huibing Wang |
| 2025 | Stackelberg vs. Nash in the Lottery Colonel Blotto Game. Yan Liu, Bonan Ni, Weiran Shen, Zihe Wang, Jie Zhang |
| 2025 | StarFT: Robust Fine-tuning of Zero-shot Models via Spuriosity Alignment. Younghyun Kim, Jongheon Jeong, Sangkyung Kwak, Kyungmin Lee, Juho Lee, Jinwoo Shin |
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| 2025 | Structure-Aware Handwritten Text Recognition via Graph-Enhanced Cross-Modal Mutual Learning. Ji Gan, Yupeng Zhou, Yanming Zhang, Jiaxu Leng, Xinbo Gao |
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| 2025 | Sustainable Wearables for Health Applications and Beyond via Uncertainty-Aware Energy Management. Dina Hussein, Chibuike E. Ugwu, Ganapati Bhat, Janardhan Rao Doppa |
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| 2025 | SyncGaussian: Stable 3D Gaussian-Based Talking Head Generation with Enhanced Lip Sync via Discriminative Speech Features. Ke Liu, Jiwei Wei, Shiyuan He, Zeyu Ma, Chaoning Zhang, Ning Xie, Yang Yang |
| 2025 | SynthRL: Cross-domain Synthesizer Sound Matching via Reinforcement Learning. Wonchul Shin, Kyogu Lee |
| 2025 | Synthesis of Communication Policies for Multi-Agent Systems Robust to Communication Restrictions. Saleh Soudijani, Rayna Dimitrova |
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| 2025 | T-T: Table Transformer for Tagging-based Aspect Sentiment Triplet Extraction. Kun Peng, Chaodong Tong, Cong Cao, Hao Peng, Qian Li, Guanlin Wu, Lei Jiang, Yanbing Liu, Philip S. Yu |
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| 2025 | TCCD: Tree-guided Continuous Causal Discovery via Collaborative MCTS-Parameter Optimization. Jingjin Liu, Yingkai Xiao, Hankz Hankui Zhuo, Wushao Wen |
| 2025 | TCDM: A Temporal Correlation-Empowered Diffusion Model for Time Series Forecasting. Huibo Xu, Likang Wu, Xianquan Wang, Zhiding Liu, Qi Liu |
| 2025 | TEST-V: TEst-time Support-set Tuning for Zero-shot Video Classification. Rui Yan, Jin Wang, Hongyu Qu, Xiaoyu Du, Dong Zhang, Jinhui Tang, Tieniu Tan |
| 2025 | TESTN: A Triad-Enhanced Spatio-Temporal Network for Multi-Temporal POI Relationship Inference. Hongyu Wang, Lisi Chen, Shuo Shang |
| 2025 | TOTF: Missing-Aware Encoders for Clustering on Multi-View Incomplete Attributed Graphs. Mengyao Li, Xu Zhou, Jiapeng Zhang, Zhibang Yang, Cen Chen, Kenli Li |
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| 2025 | TRIKOP: Exploring Visual Prompting Paradigms for Multi-Grade Knee Osteoarthritis Classification on MRI Images. Hieu Phan, Hung Pham, Dat Nguyen, Khoa Le, Tuan Nguyen, Triet Tran, Tho Quan |
| 2025 | TSTAI: A Time-varying Brain Effective Connectivity Network Construction Method Combining with Brain Active Information. Qi Chen, Zhiqiong Wang, Jiaxin Li, Jinying Tao, Junchang Xin |
| 2025 | Tackling Long-Tailed Data Challenges in Spiking Neural Networks via Heterogeneous Knowledge Distillation. Moqi Li, Xu Yang, Cheng Deng |
| 2025 | Taking STEPS Forward: Enhancing Online Peer-Counseling with Schema Therapy via Socratic Questioning. Beng Heng Ang, Sujatha Das Gollapalli, See-Kiong Ng |
| 2025 | Template-based Uncertainty Multimodal Fusion Network for RGBT Tracking. Zhaodong Ding, Chenglong Li, Shengqing Miao, Jin Tang |
| 2025 | Template3D-AD: Point Cloud Template Matching Method Based on Center Points for 3D Anomaly Detection. Yi Liu, Changsheng Zhang, Yufei Yang |
| 2025 | Temporal Consistency Constrained Transferable Adversarial Attacks with Background Mixup for Action Recognition. Ping Li, Jianan Ni, Bo Pang |
| 2025 | Tensor Network: from the Perspective of AI4Science and Science4AI. Junchi Yan, Yehui Tang, Xinyu Ye, Hao Xiong, Xiaoqiu Zhong, Yuhan Wang, Yuan Qi |
| 2025 | Tensorial Multi-view Clustering with Deep Anchor Graph Projection. Wei Feng, Dongyuvan Wei, Qianqian Wang, Bo Dong |
| 2025 | Test-Time Adaptation on Recommender System with Data-Centric Graph Transformation. Yating Liu, Xin Zheng, Yi Li, Yanqing Guo |
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| 2025 | Top-I2P: Explore Open-Domain Image-to-Point Cloud Registration Using Topology Relationship. Pei An, Jiaqi Yang, Muyao Peng, You Yang, Qiong Liu, Jie Ma, Liangliang Nan |
| 2025 | Toward Informed AV Decision-Making: Computational Model of Well-being and Trust in Mobility. Zahra Zahedi, Shashank Mehrotra, Teruhisa Misu, Kumar Akash |
| 2025 | Toward Interpretable Time Series Modeling: A Kernel Representation Perspective. Kunpeng Xu |
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| 2025 | Towards Comprehensive and Prerequisite-Free Explainer for Graph Neural Networks. Han Zhang, Yan Wang, Guanfeng Liu, Pengfei Ding, Huaxiong Wang, Kwok-Yan Lam |
| 2025 | Towards Cross-Modality Modeling for Time Series Analytics: A Survey in the LLM Era. Chenxi Liu, Shaowen Zhou, Qianxiong Xu, Hao Miao, Cheng Long, Ziyue Li, Rui Zhao |
| 2025 | Towards Debiased Generalized Category Discovery. Pengcheng Guo, Yonghong Song, Boyu Wang |
| 2025 | Towards Equilibrium: An Instantaneous Probe-and-Rebalance Multimodal Learning Approach. Yang Yang, Xixian Wu, Qing-Yuan Jiang |
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| 2025 | Towards Improved Risk Bounds for Transductive Learning. Bowei Zhu, Shaojie Li, Yong Liu |
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| 2025 | Towards VLM-based Hybrid Explainable Prompt Enhancement for Zero-Shot Industrial Anomaly Detection. Weichao Cai, Weiliang Huang, Yunkang Cao, Chao Huang, Fei Yuan, Bob Zhang, Jie Wen |
| 2025 | Towards a Bipartisan Understanding of Peace and Vicarious Interactions. Arka Dutta, Syed Mohammad Sualeh Ali, Usman Naseem, Ashiqur R. KhudaBukhsh |
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| 2025 | Tree-of-AdEditor: Heuristic Tree Reasoning for Automated Video Advertisement Editing with Large Language Model. Yuqi Zhang, Bin Guo, Nuo Li, Ying Zhang, Shijie Wang, Zhiwen Yu, Qing Li |
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| 2025 | Tsururu: A Python-based Time Series Forecasting Strategies Library. Alina Kostromina, Kseniia Kuvshinova, Aleksandr Yugay, Andrey V. Savchenko, Dmitry Simakov |
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| 2025 | Two-stage Risk Control with Application to Ranked Retrieval. Yunpeng Xu, Mufang Ying, Wenge Guo, Zhi Wei |
| 2025 | UltraModel: A Modeling Paradigm for Industrial Objects. Haoran Yang, Yinan Zhang, Qunshan He, Yuqi Ye, Jing Zhao, Wenhai Wang |
| 2025 | Uncertainty-aware Predict-Then-Optimize Framework for Equitable Post-Disaster Power Restoration. Lin Jiang, Dahai Yu, Rongchao Xu, Tian Tang, Guang Wang |
| 2025 | Uncertainty-guided Graph Contrastive Learning from a Unified Perspective. Zhiqiang Li, Jie Wang, Jianqing Liang, Junbiao Cui, Xingwang Zhao, Jiye Liang |
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| 2025 | Understanding Matters: Semantic-Structural Determined Visual Relocalization for Large Scenes. Jingyi Nie, Liangliang Cai, Qichuan Geng, Zhong Zhou |
| 2025 | Understanding PII Leakage in Large Language Models: A Systematic Survey. Shuai Cheng, Zhao Li, Shu Meng, Mengxia Ren, Haitao Xu, Shuai Hao, Chuan Yue, Fan Zhang |
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