| 2024 | 1DFormer: A Transformer Architecture Learning 1D Landmark Representations for Facial Landmark Tracking. Shi Yin, Shijie Huan, Shangfei Wang, Jinshui Hu, Tao Guo, Bing Yin, Baocai Yin, Cong Liu |
| 2024 | 3D Vision and Language Pretraining with Large-Scale Synthetic Data. Dejie Yang, Zhu Xu, Wentao Mo, Qingchao Chen, Siyuan Huang, Yang Liu |
| 2024 | 3D-FuM: Benchmarking 3D Molecule Learning with Functional Groups. Tingwei Chen, Jianpeng Chen, Dawei Zhou |
| 2024 | 3DBench: A Scalable 3D Benchmark and Instruction-Tuning Dataset. Junjie Zhang, Tianci Hu, Xiaoshui Huang, Yongshun Gong, Dan Zeng |
| 2024 | A Behavior-Aware Approach for Deep Reinforcement Learning in Non-stationary Environments without Known Change Points. Zihe Liu, Jie Lu, Guangquan Zhang, Junyu Xuan |
| 2024 | A Better Approximation for Bipartite Traveling Tournament in Inter-League Sports Scheduling. Jingyang Zhao, Mingyu Xiao |
| 2024 | A Bias-Free Revenue-Maximizing Bidding Strategy for Data Consumers in Auction-based Federated Learning. Xiaoli Tang, Han Yu, Zengxiang Li, Xiaoxiao Li |
| 2024 | A Coarse-to-Fine Fusion Network for Event-Based Image Deblurring. Huan Li, Hailong Shi, Xingyu Gao |
| 2024 | A Cognitive-Driven Trajectory Prediction Model for Autonomous Driving in Mixed Autonomy Environments. Haicheng Liao, Zhenning Li, Chengyue Wang, Bonan Wang, Hanlin Kong, Yanchen Guan, Guofa Li, Zhiyong Cui |
| 2024 | A Complete Landscape of EFX Allocations on Graphs: Goods, Chores and Mixed Manna. Yu Zhou, Tianze Wei, Minming Li, Bo Li |
| 2024 | A Comprehensive Survey and Taxonomy on Point Cloud Registration Based on Deep Learning. Yu-Xin Zhang, Jie Gui, Xiaofeng Cong, Xin Gong, Wenbing Tao |
| 2024 | A Comprehensive Survey of Cross-Domain Policy Transfer for Embodied Agents. Haoyi Niu, Jianming Hu, Guyue Zhou, Xianyuan Zhan |
| 2024 | A Comprehensive Survey on Graph Reduction: Sparsification, Coarsening, and Condensation. Mohammad Hashemi, Shengbo Gong, Juntong Ni, Wenqi Fan, B. Aditya Prakash, Wei Jin |
| 2024 | A Conflict-Embedded Narrative Generation Using Commonsense Reasoning. Youngrok Song, Gunhee Cho, Hyunju Kim, Youngjune Kim, Byung-Chull Bae, Yun-Gyung Cheong |
| 2024 | A Conservative Approach for Few-Shot Transfer in Off-Dynamics Reinforcement Learning. Paul Daoudi, Christophe Prieur, Bogdan Robu, Merwan Barlier, Ludovic Dos Santos |
| 2024 | A Consistency and Integration Model with Adaptive Thresholds for Weakly Supervised Object Localization. Hao Su, Meng Yang |
| 2024 | A Context-Enhanced Framework for Sequential Graph Reasoning. Shuo Shi, Chao Peng, Chenyang Xu, Zhengfeng Yang |
| 2024 | A Dataset and Model for Realistic License Plate Deblurring. Haoyan Gong, Yuzheng Feng, Zhenrong Zhang, Xianxu Hou, Jingxin Liu, Siqi Huang, Hongbin Liu |
| 2024 | A De-singularity Subgradient Approach for the Extended Weber Location Problem. Zhao-Rong Lai, Xiaotian Wu, Liangda Fang, Ziliang Chen |
| 2024 | A Deep Probabilistic Spatiotemporal Framework for Dynamic Graph Representation Learning with Application to Brain Disorder Identification. Sin-Yee Yap, Junn Yong Loo, Chee-Ming Ting, Fuad Noman, Raphaël C.-W. Phan, Adeel Razi, David L. Dowe |
| 2024 | A Deep Reinforcement Learning Approach to Balance Viewport Prediction and Video Transmission in 360° Video Streaming. Guanghui Zhang, Jing Guo |
| 2024 | A Density-driven Iterative Prototype Optimization for Transductive Few-shot Learning. Jingcong Li, Chunjin Ye, Fei Wang, Jiahui Pan |
| 2024 | A Fast Algorithm for MaxSAT above Half Number of Clauses. Junqiang Peng, Mingyu Xiao |
| 2024 | A Fourier Perspective of Feature Extraction and Adversarial Robustness. Liangqi Zhang, Yihao Luo, Haibo Shen, Tianjiang Wang |
| 2024 | A Framework for Centralized Traffic Routing in Urban Areas. Matyás Svadlenka, Lukás Chrpa |
| 2024 | A General Black-box Adversarial Attack on Graph-based Fake News Detectors. Peican Zhu, Zechen Pan, Yang Liu, Jiwei Tian, Keke Tang, Zhen Wang |
| 2024 | A Goal-Directed Dialogue System for Assistance in Safety-Critical Application. Prakash Jamakatel, Rebecca De Venezia, Christian Muise, Jane Jean Kiam |
| 2024 | A Graph-based Representation Framework for Trajectory Recovery via Spatiotemporal Interval-Informed Seq2Seq. Yaya Zhao, Kaiqi Zhao, Zhiqian Chen, Yuanyuan Zhang, Yalei Du, Xiaoling Lu |
| 2024 | A Grassmannian Manifold Self-Attention Network for Signal Classification. Rui Wang, Chen Hu, Ziheng Chen, Xiao-Jun Wu, Xiaoning Song |
| 2024 | A Lightweight U-like Network Utilizing Neural Memory Ordinary Differential Equations for Slimming the Decoder. Quansong He, Xiaojun Yao, Jun Wu, Zhang Yi, Tao He |
| 2024 | A Little of That Human Touch: Achieving Human-Centric Explainable AI via Argumentation. Antonio Rago |
| 2024 | A Logic for Reasoning about Aggregate-Combine Graph Neural Networks. Pierre Nunn, Marco Sälzer, François Schwarzentruber, Nicolas Troquard |
| 2024 | A Meta-Game Evaluation Framework for Deep Multiagent Reinforcement Learning. Zun Li, Michael P. Wellman |
| 2024 | A Multi-Valued Decision Diagram-Based Approach to Constrained Optimal Path Problems over Directed Acyclic Graphs. Mingwei Zhang, Liangda Fang, Zhenhao Gu, Quanlong Guan, Yong Lai |
| 2024 | A Neural Column Generation Approach to the Vehicle Routing Problem with Two-Dimensional Loading and Last-In-First-Out Constraints. Yifan Xia, Xiangyi Zhang |
| 2024 | A New Guaranteed Outlier Removal Method Based on Plane Constraints for Large-Scale LiDAR Point Cloud Registration. Gang Ma, Hui Wei, Runfeng Lin, Jialiang Wu |
| 2024 | A New Paradigm for Counterfactual Reasoning in Fairness and Recourse. Lucius E. J. Bynum, Joshua R. Loftus, Julia Stoyanovich |
| 2024 | A Novel GAN Approach to Augment Limited Tabular Data for Short-Term Substance Use Prediction. Nguyen Thach, Patrick Habecker, Bergen Johnston, Lillianna Cervantes, Anika Eisenbraun, Alex Mason, Kimberly Tyler, Bilal Khan, Hau Chan |
| 2024 | A Prior-information-guided Residual Diffusion Model for Multi-modal PET Synthesis from MRI. Zaixin Ou, Caiwen Jiang, Yongsheng Pan, Yuanwang Zhang, Zhiming Cui, Dinggang Shen |
| 2024 | A SAT Solver + Computer Algebra Attack on the Minimum Kochen-Specker Problem. Zhengyu Li, Curtis Bright, Vijay Ganesh |
| 2024 | A Self-explaining Neural Architecture for Generalizable Concept Learning. Sanchit Sinha, Guangzhi Xiong, Aidong Zhang |
| 2024 | A Semi-supervised Molecular Learning Framework for Activity Cliff Estimation. Fang Wu |
| 2024 | A Single Vector Is Not Enough: Taxonomy Expansion via Box Embeddings (Extended Abstract). Song Jiang, Qiyue Yao, Qifan Wang, Yizhou Sun |
| 2024 | A Strategic Analysis of Prepayments in Financial Credit Networks. Hao Zhou, Yongzhao Wang, Konstantinos Varsos, Nicholas Bishop, Rahul Savani, Anisoara Calinescu, Michael J. Wooldridge |
| 2024 | A Successful Strategy for Multichannel Iterated Prisoner's Dilemma. Zhen Wang, Zhaoheng Cao, Juan Shi, Peican Zhu, Shuyue Hu, Chen Chu |
| 2024 | A Survey of Constraint Formulations in Safe Reinforcement Learning. Akifumi Wachi, Xun Shen, Yanan Sui |
| 2024 | A Survey of Data-Efficient Graph Learning. Wei Ju, Siyu Yi, Yifan Wang, Qingqing Long, Junyu Luo, Zhiping Xiao, Ming Zhang |
| 2024 | A Survey of Graph Meets Large Language Model: Progress and Future Directions. Yuhan Li, Zhixun Li, Peisong Wang, Jia Li, Xiangguo Sun, Hong Cheng, Jeffrey Xu Yu |
| 2024 | A Survey of Multimodal Sarcasm Detection. Shafkat Farabi, Tharindu Ranasinghe, Diptesh Kanojia, Yu Kong, Marcos Zampieri |
| 2024 | A Survey of Robotic Language Grounding: Tradeoffs between Symbols and Embeddings. Vanya Cohen, Jason Xinyu Liu, Raymond Mooney, Stefanie Tellex, David Watkins |
| 2024 | A Survey on Cross-Domain Sequential Recommendation. Shu Chen, Zitao Xu, Weike Pan, Qiang Yang, Zhong Ming |
| 2024 | A Survey on Efficient Federated Learning Methods for Foundation Model Training. Herbert Woisetschläger, Alexander Erben, Shiqiang Wang, Ruben Mayer, Hans-Arno Jacobsen |
| 2024 | A Survey on Extractive Knowledge Graph Summarization: Applications, Approaches, Evaluation, and Future Directions. Xiaxia Wang, Gong Cheng |
| 2024 | A Survey on Model-Free Goal Recognition. Leonardo Amado, Sveta Paster Shainkopf, Ramon Fraga Pereira, Reuth Mirsky, Felipe Meneguzzi |
| 2024 | A Survey on Network Alignment: Approaches, Applications and Future Directions. Shruti Saxena, Joydeep Chandra |
| 2024 | A Survey on Neural Question Generation: Methods, Applications, and Prospects. Shasha Guo, Lizi Liao, Cuiping Li, Tat-Seng Chua |
| 2024 | A Survey on Plan Optimization. Pascal Bercher, Patrik Haslum, Christian Muise |
| 2024 | A Survey on Rank Aggregation. Siyi Wang, Qi Deng, Shiwei Feng, Hong Zhang, Chao Liang |
| 2024 | A Survival Guide for Iranian Women Prescribed by Iranian Women: Participatory AI to Investigate Intimate Partner Physical Violence in Iran. Adel Khorramrouz, Mahbeigom Fayyazi, Ashiqur R. KhudaBukhsh |
| 2024 | A Swap Relaxation-Based Local Search for the Latin Square Completion Problem. Zhenxuan Xie, Zhipeng Lü, Zhouxing Su, Chu-Min Li, Junwen Ding, Yuxuan Wang |
| 2024 | A Systematic Survey on Federated Semi-supervised Learning. Zixing Song, Xiangli Yang, Yifei Zhang, Xinyu Fu, Zenglin Xu, Irwin King |
| 2024 | A Teacher Classroom Dress Assessment Method Based on a New Assessment Dataset. Ming Fang, Qi Liu, Yunpeng Zhou, Xinning Du, Qiwen Liang, Shuhua Liu |
| 2024 | A Tensor-Based Formalization of the Event Calculus. Efthimis Tsilionis, Alexander Artikis, Georgios Paliouras |
| 2024 | A Top-Down Tree Model Counter for Quantified Boolean Formulas. Florent Capelli, Jean-Marie Lagniez, Andreas Plank, Martina Seidl |
| 2024 | A Transformer-Based Adaptive Prototype Matching Network for Few-Shot Semantic Segmentation. Sihan Chen, Yadang Chen, Yuhui Zheng, Zhi-Xin Yang, Enhua Wu |
| 2024 | A differentiable first-order rule learner for inductive logic programming (Abstract Reprint). Kun Gao, Katsumi Inoue, Yongzhi Cao, Hanpin Wang |
| 2024 | AADMIP: Adversarial Attacks and Defenses Modeling in Industrial Processes. Vitaliy Pozdnyakov, Aleksandr Kovalenko, Ilya Makarov, Mikhail Drobyshevskiy, Kirill S. Lukyanov |
| 2024 | ABM: Attention before Manipulation. Fan Zhuo, Ying He, Fei Yu, Pengteng Li, Zheyi Zhao, Xilong Sun |
| 2024 | ADELT: Transpilation between Deep Learning Frameworks. Linyuan Gong, Jiayi Wang, Alvin Cheung |
| 2024 | ADESSE: Advice Explanations in Complex Repeated Decision-Making Environments. Sören Schleibaum, Lu Feng, Sarit Kraus, Jörg P. Müller |
| 2024 | ADMN: Agent-Driven Modular Network for Dynamic Parameter Sharing in Cooperative Multi-Agent Reinforcement Learning. Yang Yu, Qiyue Yin, Junge Zhang, Pei Xu, Kaiqi Huang |
| 2024 | AESim: A Data-Driven Aircraft Engine Simulator. Abdellah Madane, Florent Forest, Hanane Azzag, Mustapha Lebbah, Jérôme Lacaille |
| 2024 | AI-Enhanced Virtual Reality in Medicine: A Comprehensive Survey. Yixuan Wu, Kaiyuan Hu, Danny Z. Chen, Jian Wu |
| 2024 | AI-Olympics: Exploring the Generalization of Agents through Open Competitions. Chen Wang, Yan Song, Shuai Wu, Sa Wu, Ruizhi Zhang, Shu Lin, Haifeng Zhang |
| 2024 | AK4Prompts: Aesthetics-driven Automatically Keywords-Ranking for Prompts in Text-To-Image Models. Haiyang Zhang, Mengchao Wang, Shuai He, Anlong Ming |
| 2024 | AMO-aware Aggregates in Answer Set Programming. Mario Alviano, Carmine Dodaro, Salvatore Fiorentino, Marco Maratea |
| 2024 | ATTA: Adaptive Test-Time Adaptation for Multi-Modal Sleep Stage Classification. Ziyu Jia, Xihao Yang, Chenyang Zhou, Haoyang Deng, Tianzi Jiang |
| 2024 | AUTODRAITEC: An Infrastructure-Based AUTOnomous DRiving System Using Artificial Intelligence and TEleCommunication Technologies. Zine El Abidine Kherroubi, Fouzi Boukhalfa, Thierry Lestable, Carlos-Faouzi Bader |
| 2024 | AVIN-Chat: An Audio-Visual Interactive Chatbot System with Emotional State Tuning. Chanhyuk Park, Jungbin Cho, Junwan Kim, Seongmin Lee, Jungsu Kim, Sanghoon Lee |
| 2024 | Accelerating Diffusion Models for Inverse Problems through Shortcut Sampling. Gongye Liu, Haoze Sun, Jiayi Li, Fei Yin, Yujiu Yang |
| 2024 | Active Deep Multi-view Clustering. Helin Zhao, Wei Chen, Peng Zhou |
| 2024 | Adaptive Order Q-learning. Tao Tan, Hong Xie, Defu Lian |
| 2024 | Advancing Generalized Transfer Attack with Initialization Derived Bilevel Optimization and Dynamic Sequence Truncation. Yaohua Liu, Jiaxin Gao, Xuan Liu, Xianghao Jiao, Xin Fan, Risheng Liu |
| 2024 | Advancing Medical Image Segmentation via Self-supervised Instance-adaptive Prototype Learning. Guoyan Liang, Qin Zhou, Jingyuan Chen, Zhe Wang, Chang Yao |
| 2024 | Agentive Permissions in Multiagent Systems. Qi Shi |
| 2024 | Aggregation and Purification: Dual Enhancement Network for Point Cloud Few-shot Segmentation. Guoxin Xiong, Yuan Wang, Zhaoyang Li, Wenfei Yang, Tianzhu Zhang, Xu Zhou, Shifeng Zhang, Yongdong Zhang |
| 2024 | Aggregation of Continuous Preferences in One Dimension. Alberto Del Pia, Dusan Knop, Alexandra Lassota, Krzysztof Sornat, Nimrod Talmon |
| 2024 | Algorithmic Fairness in Distribution of Resources and Tasks. Hadi Hosseini |
| 2024 | All in One: Multi-task Prompting for Graph Neural Networks (Extended Abstract). Xiangguo Sun, Hong Cheng, Jia Li, Bo Liu, Jihong Guan |
| 2024 | AllMatch: Exploiting All Unlabeled Data for Semi-Supervised Learning. Zhiyu Wu, Jinshi Cui |
| 2024 | Alleviating Imbalanced Pseudo-label Distribution: Self-Supervised Multi-Source Domain Adaptation with Label-specific Confidence. Shuai Lü, Meng Kang, Ximing Li |
| 2024 | Allocating Mixed Goods with Customized Fairness and Indivisibility Ratio. Bo Li, Zihao Li, Shengxin Liu, Zekai Wu |
| 2024 | An Archive Can Bring Provable Speed-ups in Multi-Objective Evolutionary Algorithms. Chao Bian, Shengjie Ren, Miqing Li, Chao Qian |
| 2024 | An Efficient Prototype-Based Clustering Approach for Edge Pruning in Graph Neural Networks to Battle Over-Smoothing. Yuyang Huang, Wenjing Lu, Yang Yang |
| 2024 | An Embarrassingly Simple Approach to Enhance Transformer Performance in Genomic Selection for Crop Breeding. Renqi Chen, Wenwei Han, Haohao Zhang, Haoyang Su, Zhefan Wang, Xiaolei Liu, Hao Jiang, Wanli Ouyang, Nanqing Dong |
| 2024 | An Image-enhanced Molecular Graph Representation Learning Framework. Hongxin Xiang, Shuting Jin, Jun Xia, Man Zhou, Jianmin Wang, Li Zeng, Xiangxiang Zeng |
| 2024 | An Interactive Human-Machine Learning Interface for Collecting and Learning from Complex Annotations. Jonathan Erskine, Matthew Clifford, Alexander Hepburn, Raúl Santos-Rodríguez |
| 2024 | An LLM-enhanced Agent-based Simulation Tool for Information Propagation. Yuxuan Hu, Gemju Sherpa, Lan Zhang, Weihua Li, Quan Bai, Yijun Wang, Xiaodan Wang |
| 2024 | An NCDE-based Framework for Universal Representation Learning of Time Series. Zihan Liu, Bowen Du, Junchen Ye, Xianqing Wen, Leilei Sun |
| 2024 | AnchorGT: Efficient and Flexible Attention Architecture for Scalable Graph Transformers. Wenhao Zhu, Guojie Song, Liang Wang, Shaoguo Liu |
| 2024 | Angluin-Style Learning of Deterministic Büchi and Co-Büchi Automata. Yong Li, Sven Schewe, Qiyi Tang |
| 2024 | Anomaly Subgraph Detection through High-Order Sampling Contrastive Learning. Ying Sun, Wenjun Wang, Nannan Wu, Chunlong Bao |
| 2024 | Ansatz-Agnostic Exponential Resource Saving in Variational Quantum Algorithms Using Shallow Shadows. Afrad Basheer, Yuan Feng, Christopher Ferrie, Sanjiang Li |
| 2024 | Anytime Sorting Algorithms. Emma Caizergues, François Durand, Fabien Mathieu |
| 2024 | Apprenticeship-Inspired Elegance: Synergistic Knowledge Distillation Empowers Spiking Neural Networks for Efficient Single-Eye Emotion Recognition. Yang Wang, Haiyang Mei, Qirui Bao, Ziqi Wei, Mike Zheng Shou, Haizhou Li, Bo Dong, Xin Yang |
| 2024 | Approximate Algorithms for k-Sparse Wasserstein Barycenter with Outliers. Qingyuan Yang, Hu Ding |
| 2024 | Approximate Dec-POMDP Solving Using Multi-Agent A Wietze Koops, Sebastian Junges, Nils Jansen |
| 2024 | Are Logistic Models Really Interpretable? Danial Dervovic, Freddy Lécué, Nicolas Marchesotti, Daniele Magazzeni |
| 2024 | Are They the Same Picture? Adapting Concept Bottleneck Models for Human-AI Collaboration in Image Retrieval. Vaibhav Balloli, Sara Beery, Elizabeth Bondi-Kelly |
| 2024 | Are Watermarks Bugs for Deepfake Detectors? Rethinking Proactive Forensics. Xiaoshuai Wu, Xin Liao, Bo Ou, Yuling Liu, Zheng Qin |
| 2024 | Arrange, Inpaint, and Refine: Steerable Long-term Music Audio Generation and Editing via Content-based Controls. Liwei Lin, Gus Xia, Yixiao Zhang, Junyan Jiang |
| 2024 | Artificial Intelligence-Driven Video Indexing for Rapid Surveillance Footage Summarization and Review. Jaemin Jung, Soonyong Park, Harim Kim, Chang Ha Lee, Charmgil Hong |
| 2024 | Atomic Recovery Property for Multi-view Subspace-Preserving Recovery. Yulong Wang |
| 2024 | Attention Based Document-level Relation Extraction with None Class Ranking Loss. Xiaolong Xu, Chenbin Li, Haolong Xiang, Lianyong Qi, Xuyun Zhang, Wanchun Dou |
| 2024 | Attention Shifting to Pursue Optimal Representation for Adapting Multi-granularity Tasks. Gairui Bai, Wei Xi, Yihan Zhao, Xinhui Liu, Jizhong Zhao |
| 2024 | Attribution Quality Metrics with Magnitude Alignment. Chase Walker, Dominic Simon, Kenny Chen, Rickard Ewetz |
| 2024 | AutoAgents: A Framework for Automatic Agent Generation. Guangyao Chen, Siwei Dong, Yu Shu, Ge Zhang, Jaward Sesay, Börje Karlsson, Jie Fu, Yemin Shi |
| 2024 | Automated CPU Design by Learning from Input-Output Examples. Shuyao Cheng, Pengwei Jin, Qi Guo, Zidong Du, Rui Zhang, Xing Hu, Yongwei Zhao, Yifan Hao, Xiangtao Guan, Husheng Han, Zhengyue Zhao, Ximing Liu, Xishan Zhang, Yuejie Chu, Weilong Mao, Tianshi Chen, Yunji Chen |
| 2024 | Automated Essay Scoring Using Discourse External Knowledge. Nisrine Ait Khayi, Vasile Rus |
| 2024 | Automated Essay Scoring: Recent Successes and Future Directions. Shengjie Li, Vincent Ng |
| 2024 | Automatic De-Biased Temporal-Relational Modeling for Stock Investment Recommendation. Weijun Chen, Shun Li, Xipu Yu, Heyuan Wang, Wei Chen, Tengjiao Wang |
| 2024 | BADFSS: Backdoor Attacks on Federated Self-Supervised Learning. Jiale Zhang, Chengcheng Zhu, Di Wu, Xiaobing Sun, Jianming Yong, Guodong Long |
| 2024 | BATON: Aligning Text-to-Audio Model Using Human Preference Feedback. Huan Liao, Haonan Han, Kai Yang, Tianjiao Du, Rui Yang, Qinmei Xu, Zunnan Xu, Jingquan Liu, Jiasheng Lu, Xiu Li |
| 2024 | BadFusion: 2D-Oriented Backdoor Attacks against 3D Object Detection. Saket S. Chaturvedi, Lan Zhang, Wenbin Zhang, Pan He, Xiaoyong Yuan |
| 2024 | Bagging is an Optimal PAC Learner (Extended Abstract). Kasper Green Larsen |
| 2024 | Balancing Multimodal Learning via Online Logit Modulation. Daoming Zong, Chaoyue Ding, Baoxiang Li, Jiakui Li, Ken Zheng |
| 2024 | Bandits with Concave Aggregated Reward. Yingqi Yu, Sijia Zhang, Shaoang Li, Lan Zhang, Wei Xie, Xiang-Yang Li |
| 2024 | Benchmarking Fish Dataset and Evaluation Metric in Keypoint Detection - Towards Precise Fish Morphological Assessment in Aquaculture Breeding. Weizhen Liu, Jiayu Tan, Guangyu Lan, Ao Li, Dongye Li, Le Zhao, Xiaohui Yuan, Nanqing Dong |
| 2024 | Benchmarking Stroke Forecasting with Stroke-Level Badminton Dataset. Wei-Yao Wang, Wei-Wei Du, Wen-Chih Peng, Tsi-Ui Ik |
| 2024 | Best Arm Identification with Retroactively Increased Sampling Budget for More Resource-Efficient HPO. Jasmin Brandt, Marcel Wever, Viktor Bengs, Eyke Hüllermeier |
| 2024 | Beyond Alignment: Blind Video Face Restoration via Parsing-Guided Temporal-Coherent Transformer. Kepeng Xu, Li Xu, Gang He, Wenxin Yu, Yunsong Li |
| 2024 | Beyond What If: Advancing Counterfactual Text Generation with Structural Causal Modeling. Ziao Wang, Xiaofeng Zhang, Hongwei Du |
| 2024 | Beyond the Limits: A Survey of Techniques to Extend the Context Length in Large Language Models. Xindi Wang, Mahsa Salmani, Parsa Omidi, Xiangyu Ren, Mehdi Rezagholizadeh, Armaghan Eshaghi |
| 2024 | BeyondVision: An EMG-driven Micro Hand Gesture Recognition Based on Dynamic Segmentation. Nana Wang, Jianwei Niu, Xuefeng Liu, Dongqin Yu, Guogang Zhu, Xinghao Wu, Mingliang Xu, Hao Su |
| 2024 | Bio-inspired Dynamic and Decentralized Online Learning in Uninformed Heterogeneous Multi-Agent Environments. Angel Sylvester |
| 2024 | BlockEcho: Retaining Long-Range Dependencies for Imputing Block-Wise Missing Data. Qiao Han, Mingqian Li, Yao Yang, Yiteng Zhai |
| 2024 | BoostDream: Efficient Refining for High-Quality Text-to-3D Generation from Multi-View Diffusion. Yonghao Yu, Shunan Zhu, Huai Qin, Haorui Li |
| 2024 | Boosting Diffusion Models with an Adaptive Momentum Sampler. Xiyu Wang, Anh-Dung Dinh, Daochang Liu, Chang Xu |
| 2024 | Boosting Efficiency in Task-Agnostic Exploration through Causal Knowledge. Yupei Yang, Biwei Huang, Shikui Tu, Lei Xu |
| 2024 | Boosting Model Resilience via Implicit Adversarial Data Augmentation. Xiaoling Zhou, Wei Ye, Zhemg Lee, Rui Xie, Shikun Zhang |
| 2024 | Boosting Single Positive Multi-label Classification with Generalized Robust Loss. Yanxi Chen, Chunxiao Li, Xinyang Dai, Jinhuan Li, Weiyu Sun, Yiming Wang, Renyuan Zhang, Tinghe Zhang, Bo Wang |
| 2024 | Boundary-aware Decoupled Flow Networks for Realistic Extreme Rescaling. Jinmin Li, Tao Dai, Jingyun Zhang, Kang Liu, Jun Wang, Shaoming Wang, Shu-Tao Xia, Rizen Guo |
| 2024 | Breaking Barriers of System Heterogeneity: Straggler-Tolerant Multimodal Federated Learning via Knowledge Distillation. Jinqian Chen, Haoyu Tang, Junhao Cheng, Ming Yan, Ji Zhang, Mingzhu Xu, Yupeng Hu, Liqiang Nie |
| 2024 | Bridge to Non-Barrier Communication: Gloss-Prompted Fine-Grained Cued Speech Gesture Generation with Diffusion Model. Wentao Lei, Li Liu, Jun Wang |
| 2024 | Bridging Generative and Discriminative Models for Unified Visual Perception with Diffusion Priors. Shiyin Dong, Mingrui Zhu, Kun Cheng, Nannan Wang, Xinbo Gao |
| 2024 | Bridging LiDAR Gaps: A Multi-LiDARs Domain Adaptation Dataset for 3D Semantic Segmentation. Shaoyang Chen, Bochun Yang, Yan Xia, Ming Cheng, Siqi Shen, Cheng Wang |
| 2024 | Bridging Stereo Geometry and BEV Representation with Reliable Mutual Interaction for Semantic Scene Completion. Bohan Li, Yasheng Sun, Zhujin Liang, Dalong Du, Zhuanghui Zhang, Xiaofeng Wang, Yunnan Wang, Xin Jin, Wenjun Zeng |
| 2024 | Bridging the Gap between General and Down-Closed Convex Sets in Submodular Maximization. Loay Mualem, Murad Tukan, Moran Feldman |
| 2024 | Bridging the Gap: Learning Pace Synchronization for Open-World Semi-Supervised Learning. Bo Ye, Kai Gan, Tong Wei, Min-Ling Zhang |
| 2024 | Bring Metric Functions into Diffusion Models. Jie An, Zhengyuan Yang, Jianfeng Wang, Linjie Li, Zicheng Liu, Lijuan Wang, Jiebo Luo |
| 2024 | Budget Feasible Mechanisms: A Survey. Xiang Liu, Hau Chan, Minming Li, Weiwei Wu |
| 2024 | Building Expressive and Tractable Probabilistic Generative Models: A Review. Sahil Sidheekh, Sriraam Natarajan |
| 2024 | By Fair Means or Foul: Quantifying Collusion in a Market Simulation with Deep Reinforcement Learning. Michael Schlechtinger, Damaris Kosack, Franz Krause, Heiko Paulheim |
| 2024 | Bypassing the ASP Bottleneck: Hybrid Grounding by Splitting and Rewriting. Alexander Beiser, Markus Hecher, Kaan Unalan, Stefan Woltran |
| 2024 | C3L: Content Correlated Vision-Language Instruction Tuning Data Generation via Contrastive Learning. Ji Ma, Wei Suo, Peng Wang, Yanning Zhang |
| 2024 | CAP: A Context-Aware Neural Predictor for NAS. Han Ji, Yuqi Feng, Yanan Sun |
| 2024 | CDSTraj: Characterized Diffusion and Spatial-Temporal Interaction Network for Trajectory Prediction in Autonomous Driving. Haicheng Liao, Xuelin Li, Yongkang Li, Hanlin Kong, Chengyue Wang, Bonan Wang, Yanchen Guan, Kahou Tam, Zhenning Li |
| 2024 | CF-Deformable DETR: An End-to-End Alignment-Free Model for Weakly Aligned Visible-Infrared Object Detection. Haolong Fu, Jin Yuan, Guojin Zhong, Xuan He, Jiacheng Lin, Zhiyong Li |
| 2024 | CGAP: Urban Region Representation Learning with Coarsened Graph Attention Pooling. Zhuo Xu, Xiao Zhou |
| 2024 | CIC: A Framework for Culturally-Aware Image Captioning. Youngsik Yun, Jihie Kim |
| 2024 | CLIP-FSAC: Boosting CLIP for Few-Shot Anomaly Classification with Synthetic Anomalies. Zuo Zuo, Yao Wu, Baoqiang Li, Jiahao Dong, You Zhou, Lei Zhou, Yanyun Qu, Zongze Wu |
| 2024 | CLR-Face: Conditional Latent Refinement for Blind Face Restoration Using Score-Based Diffusion Models. Maitreya Suin, Rama Chellappa |
| 2024 | CMACE: CMAES-based Counterfactual Explanations for Black-box Models. Xudong Yin, Yao Yang |
| 2024 | CMMU: A Benchmark for Chinese Multi-modal Multi-type Question Understanding and Reasoning. Zheqi He, Xinya Wu, Pengfei Zhou, Richeng Xuan, Guang Liu, Xi Yang, Qiannan Zhu, Hua Huang |
| 2024 | CONC: Complex-noise-resistant Open-set Node Classification with Adaptive Noise Detection. Qin Zhang, Jiexin Lu, Xiaowei Li, Huisi Wu, Shirui Pan, Junyang Chen |
| 2024 | CPa-WAC: Constellation Partitioning-based Scalable Weighted Aggregation Composition for Knowledge Graph Embedding. Sudipta Modak, Aakarsh Malhotra, Sarthak Malik, Anil Surisetty, Esam Abdel-Raheem |
| 2024 | CVAT-BWV: A Web-Based Video Annotation Platform for Police Body-Worn Video. Parsa Hejabi, Akshay Kiran Padte, Preni Golazizian, Rajat Hebbar, Jackson Trager, Georgios Chochlakis, Aditya Kommineni, Ellie Graeden, Shrikanth Narayanan, Benjamin A. T. Graham, Morteza Dehghani |
| 2024 | Capturing (Optimal) Relaxed Plans with Stable and Supported Models of Logic Programs (Extended Abstract). Masood Feyzbakhsh Rankooh, Tomi Janhunen |
| 2024 | Capturing Knowledge Graphs and Rules with Octagon Embeddings. Victor Charpenay, Steven Schockaert |
| 2024 | Carbon Market Simulation with Adaptive Mechanism Design. Han Wang, Wenhao Li, Hongyuan Zha, Baoxiang Wang |
| 2024 | CausVSR: Causality Inspired Visual Sentiment Recognition. Xinyue Zhang, Zhaoxia Wang, Hailing Wang, Jing Xiang, Chunwei Wu, Guitao Cao |
| 2024 | Causal Graph Modeling with Deep Neural Engines for Strong Abstract Reasoning in Language and Vision. Gaël Gendron |
| 2024 | CausalNET: Unveiling Causal Structures on Event Sequences by Topology-Informed Causal Attention. Hua Zhu, Hong Huang, Kehan Yin, Zejun Fan, Hai Jin, Bang Liu |
| 2024 | Causality-enhanced Discreted Physics-informed Neural Networks for Predicting Evolutionary Equations. Ye Li, Siqi Chen, Bin Shan, Sheng-Jun Huang |
| 2024 | Certified Policy Verification and Synthesis for MDPs under Distributional Reach-Avoidance Properties. S. Akshay, Krishnendu Chatterjee, Tobias Meggendorfer, Dorde Zikelic |
| 2024 | ChatSpot: Bootstrapping Multimodal LLMs via Precise Referring Instruction Tuning. Liang Zhao, En Yu, Zheng Ge, Jinrong Yang, Haoran Wei, Hongyu Zhou, Jianjian Sun, Yuang Peng, Runpei Dong, Chunrui Han, Xiangyu Zhang |
| 2024 | Class-Specific Semantic Generation and Reconstruction Learning for Open Set Recognition. Haoyang Liu, Yaojin Lin, Peipei Li, Jun Hu, Xuegang Hu |
| 2024 | Class-consistent Contrastive Learning Driven Cross-dimensional Transformer for 3D Medical Image Classification. Qikui Zhu, Chuan Fu, Shuo Li |
| 2024 | ClothPPO: A Proximal Policy Optimization Enhancing Framework for Robotic Cloth Manipulation with Observation-Aligned Action Spaces. Libing Yang, Yang Li, Long Chen |
| 2024 | CoAtFormer: Vision Transformer with Composite Attention. Zhiyong Chang, Mingjun Yin, Yan Wang |
| 2024 | CoCoG: Controllable Visual Stimuli Generation Based on Human Concept Representations. Chen Wei, Jiachen Zou, Dietmar Heinke, Quanying Liu |
| 2024 | CoFInAl: Enhancing Action Quality Assessment with Coarse-to-Fine Instruction Alignment. Kanglei Zhou, Junlin Li, Ruizhi Cai, Liyuan Wang, Xingxing Zhang, Xiaohui Liang |
| 2024 | ComVas: Contextual Moral Values Alignment System. Inkit Padhi, Pierre L. Dognin, Jesus Rios, Ronny Luss, Swapnaja Achintalwar, Matthew Riemer, Miao Liu, Prasanna Sattigeri, Manish Nagireddy, Kush R. Varshney, Djallel Bouneffouf |
| 2024 | Combinatorial Games with Incomplete Information. Junkang Li, Bruno Zanuttini, Véronique Ventos |
| 2024 | Combinatorial Routing for Neural Trees. Jiahao Li, Ruichu Cai, Yuguang Yan |
| 2024 | Common-Individual Semantic Fusion for Multi-View Multi-Label Learning. Gengyu Lyu, Weiqi Kang, Haobo Wang, Zheng Li, Zhen Yang, Songhe Feng |
| 2024 | Comparing Ways of Obtaining Candidate Orderings from Approval Ballots. Théo Delemazure, Chris Dong, Dominik Peters, Magdaléna Tydrichová |
| 2024 | CompetEvo: Towards Morphological Evolution from Competition. Kangyao Huang, Di Guo, Xinyu Zhang, Xiangyang Ji, Huaping Liu |
| 2024 | Compilation and Fast Model Counting beyond CNF. Alexis de Colnet, Stefan Szeider, Tianwei Zhang |
| 2024 | Computational Argumentation: Reasoning, Dynamics, and Supporting Explainability. Johannes P. Wallner |
| 2024 | Computational Aspects of Progression for Temporal Equilibrium Logic. Thomas Eiter, Davide Soldà |
| 2024 | Computational Complexity of Verifying the Group No-show Paradox. Farhad Mohsin, Qishen Han, Sikai Ruan, Pin-Yu Chen, Francesca Rossi, Lirong Xia |
| 2024 | Computing Optimal Equilibria in Repeated Games with Restarts. Ratip Emin Berker, Vincent Conitzer |
| 2024 | Concentration Tail-Bound Analysis of Coevolutionary and Bandit Learning Algorithms. Per Kristian Lehre, Shishen Lin |
| 2024 | Concept-Level Causal Explanation Method for Brain Function Network Classification. Jinduo Liu, Feipeng Wang, Junzhong Ji |
| 2024 | Conflict-Alleviated Gradient Descent for Adaptive Object Detection. Wenxu Shi, Bochuan Zheng |
| 2024 | Constrained Intrinsic Motivation for Reinforcement Learning. Xiang Zheng, Xingjun Ma, Chao Shen, Cong Wang |
| 2024 | ConstrainedZero: Chance-Constrained POMDP Planning Using Learned Probabilistic Failure Surrogates and Adaptive Safety Constraints. Robert J. Moss, Arec L. Jamgochian, Johannes Fischer, Anthony Corso, Mykel J. Kochenderfer |
| 2024 | Constructive Interpolation and Concept-Based Beth Definability for Description Logics via Sequents. Tim S. Lyon, Jonas Karge |
| 2024 | Content Matters: A Computational Investigation into the Effectiveness of Retrieval Practice and Worked Examples (Extended Abstract). Napol Rachatasumrit, Paulo F. Carvalho, Sophie Li, Kenneth R. Koedinger |
| 2024 | Contextualized Speech Recognition: Rethinking Second-Pass Rescoring with Generative Large Language Models. Yixuan Tang, Anthony K. H. Tung |
| 2024 | Continual Compositional Zero-Shot Learning. Yang Zhang, Songhe Feng, Jiazheng Yuan |
| 2024 | Continual Learning with Pre-Trained Models: A Survey. Da-Wei Zhou, Hai-Long Sun, Jingyi Ning, Han-Jia Ye, De-Chuan Zhan |
| 2024 | Continual Multi-Objective Reinforcement Learning via Reward Model Rehearsal. Lihe Li, Ruotong Chen, Ziqian Zhang, Zhichao Wu, Yi-Chen Li, Cong Guan, Yang Yu, Lei Yuan |
| 2024 | Continual Multi-View Clustering with Consistent Anchor Guidance. Chao Zhang, Deng Xu, Xiuyi Jia, Chunlin Chen, Huaxiong Li |
| 2024 | Continual Multimodal Knowledge Graph Construction. Xiang Chen, Jingtian Zhang, Xiaohan Wang, Ningyu Zhang, Tongtong Wu, Yuxiang Wang, Yongheng Wang, Huajun Chen |
| 2024 | Contract Scheduling with Distributional and Multiple Advice. Spyros Angelopoulos, Marcin Bienkowski, Christoph Dürr, Bertrand Simon |
| 2024 | Contrastive General Graph Matching with Adaptive Augmentation Sampling. Jianyuan Bo, Yuan Fang |
| 2024 | Contrastive Learning Drug Response Models from Natural Language Supervision. Kun Li, Xiuwen Gong, Jia Wu, Wenbin Hu |
| 2024 | Contrastive Learning Is Not Optimal for Quasiperiodic Time Series. Adrian Atienza, Jakob E. Bardram, Sadasivan Puthusserypady |
| 2024 | Contrastive Representation Learning for Self-Supervised Taxonomy Completion. Yuhang Niu, Hongyuan Xu, Ciyi Liu, Yanlong Wen, Xiaojie Yuan |
| 2024 | Contrastive Transformer Cross-Modal Hashing for Video-Text Retrieval. Xiaobo Shen, Qianxin Huang, Long Lan, Yuhui Zheng |
| 2024 | Contrastive Transformer Masked Image Hashing for Degraded Image Retrieval. Xiaobo Shen, Haoyu Cai, Xiuwen Gong, Yuhui Zheng |
| 2024 | Contrastive and View-Interaction Structure Learning for Multi-view Clustering. Jing Wang, Songhe Feng |
| 2024 | Convexity Certificates for Symbolic Tensor Expressions. Paul Gerhardt Rump, Niklas Merk, Julien Klaus, Maurice Wenig, Joachim Giesen |
| 2024 | Cooperation and Control in Delegation Games. Oliver Sourbut, Lewis Hammond, Harriet Wood |
| 2024 | Cooperation and Fairness in Systems of Indirect Reciprocity. Martin Smit |
| 2024 | Core-Structures-Guided Multi-Modal Classification Neural Architecture Search. Pinhan Fu, Xinyan Liang, Tingjin Luo, Qian Guo, Yayu Zhang, Yuhua Qian |
| 2024 | Correct and Optimal: The Regular Expression Inference Challenge. Mojtaba Valizadeh, Philip John Gorinski, Ignacio Iacobacci, Martin Berger |
| 2024 | Counterfactual User Sequence Synthesis Augmented with Continuous Time Dynamic Preference Modeling for Sequential POI Recommendation. Lianyong Qi, Yuwen Liu, Weiming Liu, Shichao Pei, Xiaolong Xu, Xuyun Zhang, Yingjie Wang, Wanchun Dou |
| 2024 | Couples Can Be Tractable: New Algorithms and Hardness Results for the Hospitals/Residents Problem with Couples. Gergely Csáji, David F. Manlove, Iain McBride, James Trimble |
| 2024 | Cross-Domain Feature Augmentation for Domain Generalization. Yingnan Liu, Yingtian Zou, Rui Qiao, Fusheng Liu, Mong-Li Lee, Wynne Hsu |
| 2024 | Cross-Domain Few-Shot Semantic Segmentation via Doubly Matching Transformation. Jiayi Chen, Rong Quan, Jie Qin |
| 2024 | Cross-Problem Learning for Solving Vehicle Routing Problems. Zhuoyi Lin, Yaoxin Wu, Bangjian Zhou, Zhiguang Cao, Wen Song, Yingqian Zhang, Senthilnath Jayavelu |
| 2024 | Cross-Scale Domain Adaptation with Comprehensive Information for Pansharpening. Meiqi Gong, Hao Zhang, Hebaixu Wang, Jun Chen, Jun Huang, Xin Tian, Jiayi Ma |
| 2024 | Cross-Talk Reduction. Zhong-Qiu Wang, Anurag Kumar, Shinji Watanabe |
| 2024 | Cross-View Contrastive Fusion for Enhanced Molecular Property Prediction. Yan Zheng, Song Wu, Junyu Lin, Yazhou Ren, Jing He, Xiaorong Pu, Lifang He |
| 2024 | Cross-View Diversity Embedded Consensus Learning for Multi-View Clustering. Chong Peng, Kai Zhang, Yongyong Chen, Chenglizhao Chen, Qiang Cheng |
| 2024 | Cross-modal Generation and Alignment via Attribute-guided Prompt for Unsupervised Text-based Person Retrieval. Zongyi Li, Jianbo Li, Yuxuan Shi, Hefei Ling, Jiazhong Chen, Runsheng Wang, Shijuan Huang |
| 2024 | Culturally-aware Image Captioning. Youngsik Yun |
| 2024 | Cutting the Black Box: Conceptual Interpretation of a Deep Neural Net with Multi-Modal Embeddings and Multi-Criteria Decision Aid. Nicolas Atienza, Roman Bresson, Cyriaque Rousselot, Philippe Caillou, Johanne Cohen, Christophe Labreuche, Michèle Sebag |
| 2024 | D3ETR: Decoder Distillation for Detection Transformer. Xiaokang Chen, Jiahui Chen, Yan Liu, Jiaxiang Tang, Gang Zeng |
| 2024 | DANCE: Dual-View Distribution Alignment for Dataset Condensation. Hansong Zhang, Shikun Li, Fanzhao Lin, Weiping Wang, Zhenxing Qian, Shiming Ge |
| 2024 | DBPNet: Dual-Branch Parallel Network with Temporal-Frequency Fusion for Auditory Attention Detection. Qinke Ni, Hongyu Zhang, Cunhang Fan, Shengbing Pei, Chang Zhou, Zhao Lv |
| 2024 | DCDet: Dynamic Cross-based 3D Object Detector. Shuai Liu, Boyang Li, Zhiyu Fang, Kai Huang |
| 2024 | DFMDA-Net: Dense Fusion and Multi-dimension Aggregation Network for Image Restoration. Huibin Yan, Shuoyao Wang |
| 2024 | DFRP: A Dual-Track Feedback Recommendation System for Educational Resources. Chaojun Meng, Changfan Pan, Zilong Li, Cong Zhou, Xinran Cao, Jia Zhu |
| 2024 | DGCD: An Adaptive Denoising GNN for Group-level Cognitive Diagnosis. Haiping Ma, Siyu Song, Chuan Qin, Xiaoshan Yu, Limiao Zhang, Xingyi Zhang, Hengshu Zhu |
| 2024 | DGR: A General Graph Desmoothing Framework for Recommendation via Global and Local Perspectives. Leilei Ding, Dazhong Shen, Chao Wang, Tianfu Wang, Le Zhang, Yanyong Zhang |
| 2024 | DP-Font: Chinese Calligraphy Font Generation Using Diffusion Model and Physical Information Neural Network. Liguo Zhang, Yalong Zhu, Achref Benarab, Yusen Ma, Yuxin Dong, Jianguo Sun |
| 2024 | DTS-TPT: Dual Temporal-Sync Test-time Prompt Tuning for Zero-shot Activity Recognition. Rui Yan, Hongyu Qu, Xiangbo Shu, Wenbin Li, Jinhui Tang, Tieniu Tan |
| 2024 | DVPE: Divided View Position Embedding for Multi-View 3D Object Detection. Jiasen Wang, Zhenglin Li, Ke Sun, Xianyuan Liu, Yang Zhou |
| 2024 | DWLR: Domain Adaptation under Label Shift for Wearable Sensor. Juren Li, Yang Yang, Youmin Chen, Jianfeng Zhang, Zeyu Lai, Lujia Pan |
| 2024 | DarkFed: A Data-Free Backdoor Attack in Federated Learning. Minghui Li, Wei Wan, Yuxuan Ning, Shengshan Hu, Lulu Xue, Leo Yu Zhang, Yichen Wang |
| 2024 | Data Complexity in Expressive Description Logics with Path Expressions. Bartosz Bednarczyk |
| 2024 | Data Ownership and Privacy in Personalized AI Models in Assistive Healthcare. Boris Debic, Luka Medvidovic |
| 2024 | Deciphering the Projection Head: Representation Evaluation Self-supervised Learning. Jiajun Ma, Tianyang Hu, Wenjia Wang |
| 2024 | Decoupled Invariant Attention Network for Multivariate Time-series Forecasting. Haihua Xu, Wei Fan, Kun Yi, Pengyang Wang |
| 2024 | Decoupling Breaks Data Barriers: A Decoupled Pre-training Framework for Multi-intent Spoken Language Understanding. Libo Qin, Qiguang Chen, Jingxuan Zhou, Qinzheng Li, Chunlin Lu, Wanxiang Che |
| 2024 | Deep Embedding Clustering Driven by Sample Stability. Zhanwen Cheng, Feijiang Li, Jieting Wang, Yuhua Qian |
| 2024 | Deep Frequency Derivative Learning for Non-stationary Time Series Forecasting. Wei Fan, Kun Yi, Hangting Ye, Zhiyuan Ning, Qi Zhang, Ning An |
| 2024 | Deep Hierarchical Graph Alignment Kernels. Shuhao Tang, Hao Tian, Xiaofeng Cao, Wei Ye |
| 2024 | Deep Learning with Requirements in the Real World. Mihaela C. Stoian |
| 2024 | Deep Multi-Dimensional Classification with Pairwise Dimension-Specific Features. Teng Huang, Bin-Bin Jia, Min-Ling Zhang |
| 2024 | Deep Neural Networks via Complex Network Theory: A Perspective. Emanuele La Malfa, Gabriele La Malfa, Giuseppe Nicosia, Vito Latora |
| 2024 | DeepLight: Reconstructing High-Resolution Observations of Nighttime Light With Multi-Modal Remote Sensing Data. Lixian Zhang, Runmin Dong, Shuai Yuan, Jinxiao Zhang, Mengxuan Chen, Juepeng Zheng, Haohuan Fu |
| 2024 | Defending Against Backdoor Attacks by Layer-wise Feature Analysis (Extended Abstract). Najeeb Moharram Jebreel, Josep Domingo-Ferrer, Yiming Li |
| 2024 | Delocate: Detection and Localization for Deepfake Videos with Randomly-Located Tampered Traces. Juan Hu, Xin Liao, Difei Gao, Satoshi Tsutsui, Qian Wang, Zheng Qin, Mike Zheng Shou |
| 2024 | Delve into Base-Novel Confusion: Redundancy Exploration for Few-Shot Class-Incremental Learning. Haichen Zhou, Yixiong Zou, Ruixuan Li, Yuhua Li, Kui Xiao |
| 2024 | Demo: Enhancing Wildlife Acoustic Data Annotation Efficiency through Transfer and Active Learning. Hannes Kath, Patricia P. Serafini, Ivan Braga Campos, Thiago S. Gouvêa, Daniel Sonntag |
| 2024 | Denoising Diffusion-Augmented Hybrid Video Anomaly Detection via Reconstructing Noised Frames. Kai Cheng, Yaning Pan, Yang Liu, Xinhua Zeng, Rui Feng |
| 2024 | Denoising-Aware Contrastive Learning for Noisy Time Series. Shuang Zhou, Daochen Zha, Xiao Shen, Xiao Huang, Rui Zhang, Korris Fu-Lai Chung |
| 2024 | DenseKoopman: A Plug-and-Play Framework for Dense Pedestrian Trajectory Prediction. Xianbang Li, Yilong Ren, Han Jiang, Haiyang Yu, Yanlei Cui, Liang Xu |
| 2024 | Deploying Mobility-On-Demand for All by Optimizing Paratransit Services. Sophie Pavia, David Rogers, Amutheezan Sivagnanam, Michael Wilbur, Danushka Edirimanna, Youngseo Kim, Philip Pugliese, Samitha Samaranayake, Aron Laszka, Ayan Mukhopadhyay, Abhishek Dubey |
| 2024 | Deriving Provably Correct Explanations for Decision Trees: The Impact of Domain Theories. Gilles Audemard, Jean-Marie Lagniez, Pierre Marquis, Nicolas Szczepanski |
| 2024 | Design a Win-Win Strategy That Is Fair to Both Service Providers and Tasks When Rejection Is Not an Option. Yohai Trabelsi, Pan Xu, Sarit Kraus |
| 2024 | Design of a Data-driven Intervention Dashboard for SDG Localization. Pooja Bassin, Abraham G. K., Srinath Srinivasa |
| 2024 | Designing Behavior-Aware AI to Improve the Human-AI Team Performance in AI-Assisted Decision Making. Syed Hasan Amin Mahmood, Zhuoran Lu, Ming Yin |
| 2024 | Detecting AI-Generated Sentences in Human-AI Collaborative Hybrid Texts: Challenges, Strategies, and Insights. Zijie Zeng, Shiqi Liu, Lele Sha, Zhuang Li, Kaixun Yang, Sannyuya Liu, Dragan Gasevic, Guangliang Chen |
| 2024 | Detecting Change Intervalswith Isolation Distributional Kernel (Abstract Reprint). Yang Cao, Ye Zhu, Kai Ming Ting, Flora D. Salim, Hong Xian Li, Luxing Yang, Gang Li |
| 2024 | Detecting and Understanding Vulnerabilities in Language Models via Mechanistic Interpretability. Jorge García-Carrasco, Alejandro Maté, Juan Trujillo |
| 2024 | Detector Collapse: Backdooring Object Detection to Catastrophic Overload or Blindness in the Physical World. Hangtao Zhang, Shengshan Hu, Yichen Wang, Leo Yu Zhang, Ziqi Zhou, Xianlong Wang, Yanjun Zhang, Chao Chen |
| 2024 | Determining Winners in Elections with Absent Votes. Qishen Han, Amélie Marian, Lirong Xia |
| 2024 | Dialogue Cross-Enhanced Central Engagement Attention Model for Real-Time Engagement Estimation. Jun Yu, Keda Lu, Ji Zhao, Zhihong Wei, Iek-Heng Chu, Peng Chang |
| 2024 | DifTraj: Diffusion Inspired by Intrinsic Intention and Extrinsic Interaction for Multi-Modal Trajectory Prediction. Yanghong Liu, Xingping Dong, Yutian Lin, Mang Ye |
| 2024 | DiffStega: Towards Universal Training-Free Coverless Image Steganography with Diffusion Models. Yiwei Yang, Zheyuan Liu, Jun Jia, Zhongpai Gao, Yunhao Li, Wei Sun, Xiaohong Liu, Guangtao Zhai |
| 2024 | Diffusion Mask-Driven Visual-language Tracking. Guangtong Zhang, Bineng Zhong, Qihua Liang, Zhiyi Mo, Shuxiang Song |
| 2024 | Diffutoon: High-Resolution Editable Toon Shading via Diffusion Models. Zhongjie Duan, Chengyu Wang, Cen Chen, Weining Qian, Jun Huang |
| 2024 | Digital Avatars: Framework Development and Their Evaluation. Timothy Rupprecht, Sung-En Chang, Yushu Wu, Lei Lu, Enfu Nan, Chih-hsiang Li, Caiyue Lai, Zhimin Li, Zhijun Hu, Yumei He, David R. Kaeli, Yanzhi Wang |
| 2024 | Dirichlet-based Uncertainty Quantification for Personalized Federated Learning with Improved Posterior Networks. Nikita Kotelevskii, Samuel Horváth, Karthik Nandakumar, Martin Takác, Maxim Panov |
| 2024 | Discriminative Feature Decoupling Enhancement for Speech Forgery Detection. Yijun Bei, Xing Zhou, Erteng Liu, Yang Gao, Sen Lin, Kewei Gao, Zunlei Feng |
| 2024 | Disentangling Domain and General Representations for Time Series Classification. Youmin Chen, Xinyu Yan, Yang Yang, Jianfeng Zhang, Jing Zhang, Lujia Pan, Juren Li |
| 2024 | Disrupting Diffusion-based Inpainters with Semantic Digression. Geonho Son, Juhun Lee, Simon S. Woo |
| 2024 | Distribution-Independent Cell Type Identification for Single-Cell RNA-seq Data. Yuyao Zhai, Liang Chen, Minghua Deng |
| 2024 | Diversification of Adaptive Policy for Effective Offline Reinforcement Learning. Yunseon Choi, Li Zhao, Chuheng Zhang, Lei Song, Jiang Bian, Kee-Eung Kim |
| 2024 | Diversifying Training Pool Predictability for Zero-shot Coordination: A Theory of Mind Approach. Dung Nguyen, Hung Le, Kien Do, Sunil Gupta, Svetha Venkatesh, Truyen Tran |
| 2024 | Do You Remember the Future? Weak-to-Strong Generalization in 3D Object Detection. Alexander Gambashidze, Aleksandr Dadukin, Maksim Golyadkin, Maria Razzhivina, Ilya Makarov |
| 2024 | Domain Adaptation with Joint Loss for Consistent Regression and Ordinal Classification in the Proxy Means Test for Poverty Targeting. Siti Mariyah, Wayne Wobcke |
| 2024 | Domain Adaptive and Fine-grained Anomaly Detection for Single-cell Sequencing Data and Beyond. Kaichen Xu, Yueyang Ding, Suyang Hou, Weiqiang Zhan, Nisang Chen, Jun Wang, Xiaobo Sun |
| 2024 | Domain-Hierarchy Adaptation via Chain of Iterative Reasoning for Few-shot Hierarchical Text Classification. Ke Ji, Peng Wang, Wenjun Ke, Guozheng Li, Jiajun Liu, Jingsheng Gao, Ziyu Shang |
| 2024 | Down the Toxicity Rabbit Hole: A Framework to Bias Audit Large Language Models with Key Emphasis on Racism, Antisemitism, and Misogyny. Arka Dutta, Adel Khorramrouz, Sujan Dutta, Ashiqur R. KhudaBukhsh |
| 2024 | Drug Overdose Vital-Signs Evaluator Using Machine Learning. Anush Niranjan Lingamoorthy, Abhishek Kumar Mishra, Suman Kumar, David Gordon, Jacob S. Brenner, Nagarajan Kandasamy, Amanda Watson |
| 2024 | Dual Calibration-based Personalised Federated Learning. Xiaoli Tang, Han Yu, Run Tang, Chao Ren, Anran Li, Xiaoxiao Li |
| 2024 | Dual Contrastive Graph-Level Clustering with Multiple Cluster Perspectives Alignment. Jinyu Cai, Yunhe Zhang, Jicong Fan, Yali Du, Wenzhong Guo |
| 2024 | Dual Enhancement in ODI Super-Resolution: Adapting Convolution and Upsampling to Projection Distortion. Xiang Ji, Changqiao Xu, Lujie Zhong, Shujie Yang, Han Xiao, Gabriel-Miro Muntean |
| 2024 | Dual Expert Distillation Network for Generalized Zero-Shot Learning. Zhijie Rao, Jingcai Guo, Xiaocheng Lu, Jingming Liang, Jie Zhang, Haozhao Wang, Kang Wei, Xiaofeng Cao |
| 2024 | Dual Semantic Fusion Hashing for Multi-Label Cross-Modal Retrieval. Kaiming Liu, Yunhong Gong, Yu Cao, Zhenwen Ren, Dezhong Peng, Yuan Sun |
| 2024 | Dynamic Brightness Adaptation for Robust Multi-modal Image Fusion. Yiming Sun, Bing Cao, Pengfei Zhu, Qinghua Hu |
| 2024 | Dynamic Many-Objective Molecular Optimization: Unfolding Complexity with Objective Decomposition and Progressive Optimization. Dong-Hee Shin, Young-Han Son, Deok-Joong Lee, Ji-Wung Han, Tae-Eui Kam |
| 2024 | Dynamic Weighted Graph Fusion for Deep Multi-View Clustering. Yazhou Ren, Jingyu Pu, Chenhang Cui, Yan Zheng, Xinyue Chen, Xiaorong Pu, Lifang He |
| 2024 | Dynamic against Dynamic: An Open-Set Self-Learning Framework. Haifeng Yang, Chuanxing Geng, Pong C. Yuen, Songcan Chen |
| 2024 | Dynamically Anchored Prompting for Task-Imbalanced Continual Learning. Chenxing Hong, Yan Jin, Zhiqi Kang, Yizhou Chen, Mengke Li, Yang Lu, Hanzi Wang |
| 2024 | Dynamicity-aware Social Bot Detection with Dynamic Graph Transformers. Buyun He, Yingguang Yang, Qi Wu, Hao Liu, Renyu Yang, Hao Peng, Xiang Wang, Yong Liao, Pengyuan Zhou |
| 2024 | E-QGen: Educational Lecture Abstract-based Question Generation System. Mao-Siang Chen, An-Zi Yen |
| 2024 | EAB-FL: Exacerbating Algorithmic Bias through Model Poisoning Attacks in Federated Learning. Syed Irfan Ali Meerza, Jian Liu |
| 2024 | EAT: Self-Supervised Pre-Training with Efficient Audio Transformer. Wenxi Chen, Yuzhe Liang, Ziyang Ma, Zhisheng Zheng, Xie Chen |
| 2024 | EC-SNN: Splitting Deep Spiking Neural Networks for Edge Devices. Di Yu, Xin Du, Linshan Jiang, Wentao Tong, Shuiguang Deng |
| 2024 | ECR-Chain: Advancing Generative Language Models to Better Emotion-Cause Reasoners through Reasoning Chains. Zhaopei Huang, Jinming Zhao, Qin Jin |
| 2024 | EFEVD: Enhanced Feature Extraction for Smart Contract Vulnerability Detection. Chi Jiang, Xihan Liu, Shenao Wang, Jinzhuo Liu, Yin Zhang |
| 2024 | ELF-UA: Efficient Label-Free User Adaptation in Gaze Estimation. Yong Wu, Yang Wang, Sanqing Qu, Zhijun Li, Guang Chen |
| 2024 | EMOTE: An Explainable Architecture for Modelling the Other through Empathy. Manisha Senadeera, Thommen Karimpanal George, Stephan Jacobs, Sunil Gupta, Santu Rana |
| 2024 | ENOTO: Improving Offline-to-Online Reinforcement Learning with Q-Ensembles. Kai Zhao, Jianye Hao, Yi Ma, Jinyi Liu, Yan Zheng, Zhaopeng Meng |
| 2024 | EPIC: Graph Augmentation with Edit Path Interpolation via Learnable Cost. Jaeseung Heo, Seungbeom Lee, Sungsoo Ahn, Dongwoo Kim |
| 2024 | ESP-PCT: Enhanced VR Semantic Performance through Efficient Compression of Temporal and Spatial Redundancies in Point Cloud Transformers. Luoyu Mei, Shuai Wang, Yun Cheng, Ruofeng Liu, Zhimeng Yin, Wenchao Jiang, Wei Gong |
| 2024 | EVE: Efficient Zero-Shot Text-Based Video Editing With Depth Map Guidance and Temporal Consistency Constraints. Yutao Chen, Xingning Dong, Tian Gan, Chunluan Zhou, Ming Yang, Qingpei Guo |
| 2024 | Effective Approach to LTLf Best-Effort Synthesis in Multi-Tier Environments. Benjamin Aminof, Giuseppe De Giacomo, Gianmarco Parretti, Sasha Rubin |
| 2024 | Effective High-order Graph Representation Learning for Credit Card Fraud Detection. Yao Zou, Dawei Cheng |
| 2024 | Efficiency Calibration of Implicit Regularization in Deep Networks via Self-paced Curriculum-Driven Singular Value Selection. Zhe Li, Shuo Chen, Jian Yang, Lei Luo |
| 2024 | Efficient Correlated Subgraph Searches for AI-powered Drug Discovery. Hiroaki Shiokawa, Yuma Naoi, Shohei Matsugu |
| 2024 | Efficient Cost-Minimization Schemes for Electrical Energy Demand Satisfaction by Prosumers in Microgrids with Battery Storage Capabilities. Laura Codazzi, Gergely Csáji, Matthias Mnich |
| 2024 | Efficient Event Stream Super-Resolution with Recursive Multi-Branch Fusion. Quanmin Liang, Zhilin Huang, Xiawu Zheng, Feidiao Yang, Jun Peng, Kai Huang, Yonghong Tian |
| 2024 | Efficient Federated Multi-View Clustering with Integrated Matrix Factorization and K-Means. Wei Feng, Zhenwei Wu, Qianqian Wang, Bo Dong, Zhiqiang Tao, Quanxue Gao |
| 2024 | Efficient Multi-view Unsupervised Feature Selection with Adaptive Structure Learning and Inference. Chenglong Zhang, Yang Fang, Xinyan Liang, Han Zhang, Peng Zhou, Xingyu Wu, Jie Yang, Bingbing Jiang, Weiguo Sheng |
| 2024 | Efficient Offline Meta-Reinforcement Learning via Robust Task Representations and Adaptive Policy Generation. Zhengwei Li, Zhenyang Lin, Yurou Chen, Zhiyong Liu |
| 2024 | Efficient Screen Content Image Compression via Superpixel-based Content Aggregation and Dynamic Feature Fusion. Sheng Shen, Huanjing Yue, Jingyu Yang |
| 2024 | Efficient Tuning and Inference for Large Language Models on Textual Graphs. Yun Zhu, Yaoke Wang, Haizhou Shi, Siliang Tang |
| 2024 | Efficient and Stable Offline-to-online Reinforcement Learning via Continual Policy Revitalization. Rui Kong, Chenyang Wu, Chen-Xiao Gao, Zongzhang Zhang, Ming Li |
| 2024 | Eliminating the Cross-Domain Misalignment in Text-guided Image Inpainting. Muqi Huang, Chaoyue Wang, Yong Luo, Lefei Zhang |
| 2024 | Emergence of Social Norms in Generative Agent Societies: Principles and Architecture. Siyue Ren, Zhiyao Cui, Ruiqi Song, Zhen Wang, Shuyue Hu |
| 2024 | Empathy and AI: Achieving Equitable Microtransit for Underserved Communities. Eleni Bardaka, Pascal Van Hentenryck, Crystal Chen Lee, Christopher B. Mayhorn, Kai Monast, Samitha Samaranayake, Munindar P. Singh |
| 2024 | Empirical Analysis of Dialogue Relation Extraction with Large Language Models. Guozheng Li, Zijie Xu, Ziyu Shang, Jiajun Liu, Ke Ji, Yikai Guo |
| 2024 | Empowering Time Series Analysis with Large Language Models: A Survey. Yushan Jiang, Zijie Pan, Xikun Zhang, Sahil Garg, Anderson Schneider, Yuriy Nevmyvaka, Dongjin Song |
| 2024 | Enabling Mixed Effects Neural Networks for Diverse, Clustered Data Using Monte Carlo Methods. Andrej Tschalzev, Paul Nitschke, Lukas Kirchdorfer, Stefan Lüdtke, Christian Bartelt, Heiner Stuckenschmidt |
| 2024 | Enabling Sustainable Freight Forwarding Network via Collaborative Games. Pang Jin Tan, Shih-Fen Cheng, Richard Chen |
| 2024 | Encoding Auxiliary Information to Restore Compressed Point Cloud Geometry. Gexin Liu, Jiahao Zhu, Dandan Ding, Zhan Ma |
| 2024 | End-to-End Real-World Polyphonic Piano Audio-to-Score Transcription with Hierarchical Decoding. Wei Zeng, Xian He, Ye Wang |
| 2024 | Endogenous Energy Reactive Modules Games: Modelling Side Payments among Resource-Bounded Agents. Julian Gutierrez, David Hyland, Muhammad Najib, Giuseppe Perelli, Michael J. Wooldridge |
| 2024 | Energy-Efficient Missing Data Imputation in Wearable Health Applications: A Classifier-aware Statistical Approach. Dina Hussein, Taha Belkhouja, Ganapati Bhat, Janardhan Rao Doppa |
| 2024 | Enhanced DouDiZhu Card Game Strategy Using Oracle Guiding and Adaptive Deep Monte Carlo Method. Qian Luo, Tien Ping Tan, Daochen Zha, Tianqiao Zhang |
| 2024 | Enhancing Boundary Segmentation for Topological Accuracy with Skeleton-based Methods. Chuni Liu, Boyuan Ma, Xiaojuan Ban, Yujie Xie, Hao Wang, Weihua Xue, Jingchao Ma, Ke Xu |
| 2024 | Enhancing Controlled Query Evaluation through Epistemic Policies. Gianluca Cima, Domenico Lembo, Lorenzo Marconi, Riccardo Rosati, Domenico Fabio Savo |
| 2024 | Enhancing Cooperation through Selective Interaction and Long-term Experiences in Multi-Agent Reinforcement Learning. Tianyu Ren, Xiao-Jun Zeng |
| 2024 | Enhancing Cross-Modal Retrieval via Visual-Textual Prompt Hashing. Bingzhi Chen, Zhongqi Wu, Yishu Liu, Biqing Zeng, Guangming Lu, Zheng Zhang |
| 2024 | Enhancing Cross-modal Completion and Alignment for Unsupervised Incomplete Text-to-Image Person Retrieval. Tiantian Gong, Junsheng Wang, Liyan Zhang |
| 2024 | Enhancing Dual-Target Cross-Domain Recommendation with Federated Privacy-Preserving Learning. Zhenghong Lin, Wei Huang, Hengyu Zhang, Jiayu Xu, Weiming Liu, Xinting Liao, Fan Wang, Shiping Wang, Yanchao Tan |
| 2024 | Enhancing Fine-Grained Urban Flow Inference via Incremental Neural Operator. Qiang Gao, Xiaolong Song, Li Huang, Goce Trajcevski, Fan Zhou, Xueqin Chen |
| 2024 | Enhancing Length Generalization for Attention Based Knowledge Tracing Models with Linear Biases. Xueyi Li, Youheng Bai, Teng Guo, Zitao Liu, Yaying Huang, Xiangyu Zhao, Feng Xia, Weiqi Luo, Jian Weng |
| 2024 | Enhancing Manufacturing with AI-powered Process Design. Gianmarco Genalti, Gabriele Corbo, Tommaso Bianchi, Marco Missaglia, Luca Negri, Andrea Sala, Luca Magri, Giacomo Boracchi, Giovanni Miragliotta, Nicola Gatti |
| 2024 | Enhancing Multimodal Knowledge Graph Representation Learning through Triple Contrastive Learning. Yuxing Lu, Weichen Zhao, Nan Sun, Jinzhuo Wang |
| 2024 | Enhancing Policy Gradient Algorithms with Search in Imperfect Information Games. Ondrej Kubícek |
| 2024 | Enhancing Scalability of Metric Differential Privacy via Secret Dataset Partitioning and Benders Decomposition. Chenxi Qiu |
| 2024 | Enhancing Sustainable Urban Mobility Prediction with Telecom Data: A Spatio-Temporal Framework Approach. ChungYi Lin, Shen-Lung Tung, Hung-Ting Su, Winston H. Hsu |
| 2024 | Ensuring Fairness Stability for Disentangling Social Inequality in Access to Education: the FAiRDAS General Method. Eleonora Misino, Roberta Calegari, Michele Lombardi, Michela Milano |
| 2024 | Epistemic Logic Programs: Non-Ground and Counting Complexity. Thomas Eiter, Johannes Klaus Fichte, Markus Hecher, Stefan Woltran |
| 2024 | Equilibria in Two-Stage Facility Location with Atomic Clients. Simon Krogmann, Pascal Lenzner, Alexander Skopalik, Marc Uetz, Marnix C. Vos |
| 2024 | Error-aware Sampling in Adaptive Shells for Neural Surface Reconstruction. Qi Wang, Yuchi Huo, Qi Ye, Rui Wang, Hujun Bao |
| 2024 | Estimating Conditional Average Treatment Effects via Sufficient Representation Learning. Pengfei Shi, Wei Zhong, Xinyu Zhang, Ningtao Wang, Xing Fu, Weiqiang Wang, Yin Jin |
| 2024 | Estimating before Debiasing: A Bayesian Approach to Detaching Prior Bias in Federated Semi-Supervised Learning. Guogang Zhu, Xuefeng Liu, Xinghao Wu, Shaojie Tang, Chao Tang, Jianwei Niu, Hao Su |
| 2024 | EvaNet: Elevation-Guided Flood Extent Mapping on Earth Imagery. Mirza Tanzim Sami, Da Yan, Saugat Adhikari, Lyuheng Yuan, Jiao Han, Zhe Jiang, Jalal Khalil, Yang Zhou |
| 2024 | Evaluation of Project Performance in Participatory Budgeting. Niclas Boehmer, Piotr Faliszewski, Lukasz Janeczko, Dominik Peters, Grzegorz Pierczynski, Simon Schierreich, Piotr Skowron, Stanislaw Szufa |
| 2024 | Evolutionary Generalized Zero-Shot Learning. Dubing Chen, Chenyi Jiang, Haofeng Zhang |
| 2024 | Exactly Solving Minimum Dominating Set and Its Generalization. Ziliang Xiong, Mingyu Xiao |
| 2024 | Expanding the Reach of Social Choice Theory. Warut Suksompong |
| 2024 | Expected Work Search: Combining Win Rate and Proof Size Estimation. Owen Randall, Martin Müller, Ting-Han Wei, Ryan Hayward |
| 2024 | Explaining Arguments' Strength: Unveiling the Role of Attacks and Supports. Xiang Yin, Nico Potyka, Francesca Toni |
| 2024 | Exploiting Conjugate Label Information for Multi-Instance Partial-Label Learning. Wei Tang, Weijia Zhang, Min-Ling Zhang |
| 2024 | Exploiting Cultural Biases via Homoglyphs inText-to-Image Synthesis (Abstract Reprint). Lukas Struppek, Dominik Hintersdorf, Felix Friedrich, Manuel Brack, Patrick Schramowski, Kristian Kersting |
| 2024 | Exploiting Multi-Label Correlation in Label Distribution Learning. Zhiqiang Kou, Jing Wang, Jiawei Tang, Yuheng Jia, Boyu Shi, Xin Geng |
| 2024 | Explore Internal and External Similarity for Single Image Deraining with Graph Neural Networks. Cong Wang, Wei Wang, Chengjin Yu, Jie Mu |
| 2024 | Exploring Cross-Domain Few-Shot Classification via Frequency-Aware Prompting. Tiange Zhang, Qing Cai, Feng Gao, Lin Qi, Junyu Dong |
| 2024 | Exploring Learngene via Stage-wise Weight Sharing for Initializing Variable-sized Models. Shiyu Xia, Wenxuan Zhu, Xu Yang, Xin Geng |
| 2024 | Exploring Urban Semantics: A Multimodal Model for POI Semantic Annotation with Street View Images and Place Names. Dabin Zhang, Meng Chen, Weiming Huang, Yongshun Gong, Kai Zhao |
| 2024 | Exploring the Inefficiency of Heavy Ball as Momentum Parameter Approaches 1. Xiaoge Deng, Tao Sun, Dongsheng Li, Xicheng Lu |
| 2024 | Exploring the Role of Node Diversity in Directed Graph Representation Learning. Jincheng Huang, Yujie Mo, Ping Hu, Xiaoshuang Shi, Shangbo Yuan, Zeyu Zhang, Xiaofeng Zhu |
| 2024 | Exponential Lower Bounds on the Double Oracle Algorithm in Zero-Sum Games. Brian Hu Zhang, Tuomas Sandholm |
| 2024 | Expressing Musical Ideas with Constraint Programming Using a Model of Tonal Harmony. Damien Sprockeels, Peter Van Roy |
| 2024 | Expressiveness is Effectiveness: Self-supervised Fashion-aware CLIP for Video-to-Shop Retrieval. Likai Tian, Zhengwei Yang, Zechao Hu, Hao Li, Yifang Yin, Zheng Wang |
| 2024 | Exterior Penalty Policy Optimization with Penalty Metric Network under Constraints. Shiqing Gao, Jiaxin Ding, Luoyi Fu, Xinbing Wang, Chenghu Zhou |
| 2024 | Extremal Separation Problems for Temporal Instance Queries. Jean Christoph Jung, Vladislav Ryzhikov, Frank Wolter, Michael Zakharyaschev |
| 2024 | FBLG: A Local Graph Based Approach for Handling Dual Skewed Non-IID Data in Federated Learning. Yi Xu, Ying Li, Haoyu Luo, Xiaoliang Fan, Xiao Liu |
| 2024 | FD-UAD: Unsupervised Anomaly Detection Platform Based on Defect Autonomous Imaging and Enhancement. Yang Chang, Yuxuan Lin, Boyang Wang, Qing Zhao, Yan Wang, Wenqiang Zhang |
| 2024 | FLDM-VTON: Faithful Latent Diffusion Model for Virtual Try-on. Chenhui Wang, Tao Chen, Zhihao Chen, Zhizhong Huang, Taoran Jiang, Qi Wang, Hongming Shan |
| 2024 | Facility Location Problems with Capacity Constraints: Two Facilities and Beyond. Gennaro Auricchio, Zihe Wang, Jie Zhang |
| 2024 | FactCHD: Benchmarking Fact-Conflicting Hallucination Detection. Xiang Chen, Duanzheng Song, Honghao Gui, Chenxi Wang, Ningyu Zhang, Yong Jiang, Fei Huang, Chengfei Lyu, Dan Zhang, Huajun Chen |
| 2024 | Fair Distribution of Delivery Orders. Hadi Hosseini, Shivika Narang, Tomasz Was |
| 2024 | Fair and Efficient Chore Allocation: Existence and Computation. Aniket Murhekar |
| 2024 | FairGT: A Fairness-aware Graph Transformer. Renqiang Luo, Huafei Huang, Shuo Yu, Xiuzhen Zhang, Feng Xia |
| 2024 | FairReFuse: Referee-Guided Fusion for Multi-Modal Causal Fairness in Depression Detection. Jiaee Cheong, Sinan Kalkan, Hatice Gunes |
| 2024 | Fairness and Optimization in Dynamic Multiagent Allocation Problems. Yohai Trabelsi |
| 2024 | Fast One-Stage Unsupervised Domain Adaptive Person Search. Tianxiang Cui, Huibing Wang, Jinjia Peng, Ruoxi Deng, Xianping Fu, Yang Wang |
| 2024 | Fast Unpaired Multi-view Clustering. Xingfeng Li, Yuangang Pan, Yinghui Sun, Quansen Sun, Ivor W. Tsang, Zhenwen Ren |
| 2024 | Fast and Continual Knowledge Graph Embedding via Incremental LoRA. Jiajun Liu, Wenjun Ke, Peng Wang, Jiahao Wang, Jinhua Gao, Ziyu Shang, Guozheng Li, Zijie Xu, Ke Ji, Yining Li |
| 2024 | FastSAG: Towards Fast Non-Autoregressive Singing Accompaniment Generation. Jianyi Chen, Wei Xue, Xu Tan, Zhen Ye, Qifeng Liu, Yike Guo |
| 2024 | FastScene: Text-Driven Fast Indoor 3D Scene Generation via Panoramic Gaussian Splatting. Yikun Ma, Dandan Zhan, Zhi Jin |
| 2024 | Faster Optimal Coalition Structure Generation via Offline Coalition Selection and Graph-Based Search. Redha Taguelmimt, Samir Aknine, Djamila Boukredera, Narayan Changder, Tuomas Sandholm |
| 2024 | Faster and Lighter LLMs: A Survey on Current Challenges and Way Forward. Arnav Chavan, Raghav Magazine, Shubham Kushwaha, Mérouane Debbah, Deepak K. Gupta |
| 2024 | FasterVD: On Acceleration of Video Diffusion Models. Pinrui Yu, Dan Luo, Timothy Rupprecht, Lei Lu, Zhenglun Kong, Pu Zhao, Yanyu Li, Octavia I. Camps, Xue Lin, Yanzhi Wang |
| 2024 | Feature Norm Regularized Federated Learning: Utilizing Data Disparities for Model Performance Gains. Ke Hu, Liyao Xiang, Peng Tang, Weidong Qiu |
| 2024 | FedConPE: Efficient Federated Conversational Bandits with Heterogeneous Clients. Zhuohua Li, Maoli Liu, John C. S. Lui |
| 2024 | FedES: Federated Early-Stopping for Hindering Memorizing Heterogeneous Label Noise. Bixiao Zeng, Xiaodong Yang, Yiqiang Chen, Zhiqi Shen, Hanchao Yu, Yingwei Zhang |
| 2024 | FedFa: A Fully Asynchronous Training Paradigm for Federated Learning. Haotian Xu, Zhaorui Zhang, Sheng Di, Benben Liu, Khalid Ayedh Alharthi, Jiannong Cao |
| 2024 | FedGCS: A Generative Framework for Efficient Client Selection in Federated Learning via Gradient-based Optimization. Zhiyuan Ning, Chunlin Tian, Meng Xiao, Wei Fan, Pengyang Wang, Li Li, Pengfei Wang, Yuanchun Zhou |
| 2024 | FedPFT: Federated Proxy Fine-Tuning of Foundation Models. Zhaopeng Peng, Xiaoliang Fan, Yufan Chen, Zheng Wang, Shirui Pan, Chenglu Wen, Ruisheng Zhang, Cheng Wang |
| 2024 | FedSSA: Semantic Similarity-based Aggregation for Efficient Model-Heterogeneous Personalized Federated Learning. Liping Yi, Han Yu, Zhuan Shi, Gang Wang, Xiaoguang Liu, Lizhen Cui, Xiaoxiao Li |
| 2024 | FedTAD: Topology-aware Data-free Knowledge Distillation for Subgraph Federated Learning. Yinlin Zhu, Xunkai Li, Zhengyu Wu, Di Wu, Miao Hu, Rong-Hua Li |
| 2024 | Federated Adaptation for Foundation Model-based Recommendations. Chunxu Zhang, Guodong Long, Hongkuan Guo, Xiao Fang, Yang Song, Zhaojie Liu, Guorui Zhou, Zijian Zhang, Yang Liu, Bo Yang |
| 2024 | Federated Multi-View Clustering via Tensor Factorization. Wei Feng, Zhenwei Wu, Qianqian Wang, Bo Dong, Zhiqiang Tao, Quanxue Gao |
| 2024 | Federated Prompt Learning for Weather Foundation Models on Devices. Shengchao Chen, Guodong Long, Tao Shen, Jing Jiang, Chengqi Zhang |
| 2024 | Feedback-Based Adaptive Crossover-Rate in Evolutionary Computation. Xiaoyuan Guan, Tianyi Yang, Chunliang Zhao, Yuren Zhou |
| 2024 | Finding Increasingly Large Extremal Graphs with AlphaZero and Tabu Search. Abbas Mehrabian, Ankit Anand, Hyunjik Kim, Nicolas Sonnerat, Matej Balog, Gheorghe Comanici, Tudor Berariu, Andrew Lee, Anian Ruoss, Anna Bulanova, Daniel Toyama, Sam Blackwell, Bernardino Romera-Paredes, Petar Velickovic, Laurent Orseau, Joonkyung Lee, Anurag Murty Naredla, Doina Precup, Adam Zsolt Wagner |
| 2024 | Fine-grained Analysis of Stability and Generalization for Stochastic Bilevel Optimization. Xuelin Zhang, Hong Chen, Bin Gu, Tieliang Gong, Feng Zheng |
| 2024 | Fine-tuning Pre-trained Models for Robustness under Noisy Labels. Sumyeong Ahn, Sihyeon Kim, Jongwoo Ko, Se-Young Yun |
| 2024 | FineFMPL: Fine-grained Feature Mining Prompt Learning for Few-Shot Class Incremental Learning. Hongbo Sun, Jiahuan Zhou, Xiangteng He, Jinglin Xu, Yuxin Peng |
| 2024 | Finite Groundings for ASP with Functions: A Journey through Consistency. Lukas Gerlach, David Carral, Markus Hecher |
| 2024 | Finite-Time Convergence Rates of Decentralized Local Markovian Stochastic Approximation. Pengfei Wang, Nenggan Zheng |
| 2024 | First-Order Progression beyond Local-Effect and Normal Actions. Daxin Liu, Jens Claßen |
| 2024 | Fitness Activity Recognition Using a Novel Pressure Sensing Mat and Machine Learning for the Future of Accessible Training. Katia Bourahmoune, Karlos Ishac, Marc Carmichael |
| 2024 | FlagVNE: A Flexible and Generalizable Reinforcement Learning Framework for Network Resource Allocation. Tianfu Wang, Qilin Fan, Chao Wang, Long Yang, Leilei Ding, Nicholas Jing Yuan, Hui Xiong |
| 2024 | Focus on the Whole Character: Discriminative Character Modeling for Scene Text Recognition. Bangbang Zhou, Yadong Qu, Zixiao Wang, Zicheng Li, Boqiang Zhang, Hongtao Xie |
| 2024 | For the Misgendered Chinese in Gender Bias Research: Multi-Task Learning with Knowledge Distillation for Pinyin Name Gender Prediction. Xiaocong Du, Haipeng Zhang |
| 2024 | Formal Argumentation in Symbolic AI. Markus Ulbricht |
| 2024 | Formal Verification of Parameterised Neural-symbolic Multi-agent Systems. Panagiotis Kouvaros, Elena Botoeva, Cosmo De Bonis-Campbell |
| 2024 | Formalisation and Evaluation of Properties for Consequentialist Machine Ethics. Raynaldio Limarga, Yang Song, Abhaya Nayak, David Rajaratnam, Maurice Pagnucco |
| 2024 | Fostering Collective Action in Complex Societies Using Community-Based Agents. Jonathan Skaggs, Michael Richards, Melissa Morris, Michael A. Goodrich, Jacob W. Crandall |
| 2024 | Fraud Risk Mitigation in Real-Time Payments: A Strategic Agent-Based Analysis. Katherine Mayo, Nicholas Grabill, Michael P. Wellman |
| 2024 | FreqFormer: Frequency-aware Transformer for Lightweight Image Super-resolution. Tao Dai, Jianping Wang, Hang Guo, Jinmin Li, Jinbao Wang, Zexuan Zhu |
| 2024 | From 2D to 3D: AISG-SLA Visual Localization Challenge. Jialin Gao, Bill Ong, Darld Lwi, Zhen Hao Ng, Xun Wei Yee, Mun-Thye Mak, Wee Siong Ng, See-Kiong Ng, Hui Ying Teo, Victor Khoo, Georg Bökman, Johan Edstedt, Kirill Brodt, Clémentin Boittiaux, Maxime Ferrera, Stepan Konev |
| 2024 | From Optimization to Generalization: Fair Federated Learning against Quality Shift via Inter-Client Sharpness Matching. Nannan Wu, Zhuo Kuang, Zengqiang Yan, Li Yu |
| 2024 | From Pink and Blue to a Rainbow Hue! Defying Gender Bias through Gender Neutralizing Text Transformations. Gopendra Vikram Singh, Soumitra Ghosh, Neil Dcruze, Asif Ekbal |
| 2024 | From Pixels to Metal: AI-Empowered Numismatic Art. Penousal Machado, Tiago Martins, João Correia, Luís Espírito Santo, Nuno Lourenço, João Miguel Cunha, Sérgio Rebelo, Pedro Martins, João Bicker |
| 2024 | From Pixels to Progress: Generating Road Network from Satellite Imagery for Socioeconomic Insights in Impoverished Areas. Yanxin Xi, Yu Liu, Zhicheng Liu, Sasu Tarkoma, Pan Hui, Yong Li |
| 2024 | From Skepticism to Acceptance: Simulating the Attitude Dynamics Toward Fake News. Yuhan Liu, Xiuying Chen, Xiaoqing Zhang, Xing Gao, Ji Zhang, Rui Yan |
| 2024 | Fuel-Saving Route Planning with Data-Driven and Learning-Based Approaches - A Systematic Solution for Harbor Tugs. Shengming Wang, Xiaocai Zhang, Jing Li, Xiaoyang Wei, Hoong Chuin Lau, Bing Tian Dai, Binbin Huang, Zhe Xiao, Xiuju Fu, Zheng Qin |
| 2024 | Full Bayesian Significance Testing for Neural Networks in Traffic Forecasting. Zehua Liu, Jingyuan Wang, Zimeng Li, Yue He |
| 2024 | Functional Graph Convolutional Networks: A Unified Multi-task and Multi-modal Learning Framework to Facilitate Health and Social-Care Insights. Tobia Boschi, Francesca Bonin, Rodrigo Ordonez-Hurtado, Cécile Rousseau, Alessandra Pascale, John Dinsmore |
| 2024 | Fusion from a Distributional Perspective: A Unified Symbiotic Diffusion Framework for Any Multisource Remote Sensing Data Classification. Teng Yang, Song Xiao, Wenqian Dong, Jiahui Qu, Yueguang Yang |
| 2024 | G2LTraj: A Global-to-Local Generation Approach for Trajectory Prediction. Zhanwei Zhang, Zishuo Hua, Minghao Chen, Wei Lu, Binbin Lin, Deng Cai, Wenxiao Wang |
| 2024 | GEM: Generating Engaging Multimodal Content. Chongyang Gao, Yiren Jian, Natalia Denisenko, Soroush Vosoughi, V. S. Subrahmanian |
| 2024 | GRASP: A Novel Benchmark for Evaluating Language GRounding and Situated Physics Understanding in Multimodal Language Models. Serwan Jassim, Mario Holubar, Annika Richter, Cornelius Wolff, Xenia Ohmer, Elia Bruni |
| 2024 | GS2P: A Generative Pre-trained Learning to Rank Model with Over-parameterization for Web-Scale Search (Extended Abstract). Yuchen Li, Haoyi Xiong, Linghe Kong, Jiang Bian, Shuaiqiang Wang, Guihai Chen, Dawei Yin |
| 2024 | GUIDE: A Guideline-Guided Dataset for Instructional Video Comprehension. Jiafeng Liang, Shixin Jiang, Zekun Wang, Haojie Pan, Zerui Chen, Zheng Chu, Ming Liu, Ruiji Fu, Zhongyuan Wang, Bing Qin |
| 2024 | Game Transformations That Preserve Nash Equilibria or Best-Response Sets. Emanuel Tewolde, Vincent Conitzer |
| 2024 | GenSeg: On Generating Unified Adversary for Segmentation. Yuxuan Zhang, Zhenbo Shi, Wei Yang, Shuchang Wang, Shaowei Wang, Yinxing Xue |
| 2024 | General Epistemic Abstract Argumentation Framework: Semantics and Complexity. Gianvincenzo Alfano, Sergio Greco, Francesco Parisi, Irina Trubitsyna |
| 2024 | Generalized Taxonomy-Guided Graph Neural Networks. Yu Zhou, Di Jin, Jianguo Wei, Dongxiao He, Zhizhi Yu, Weixiong Zhang |
| 2024 | Generate Synthetic Text Approximating the Private Distribution with Differential Privacy. Wenhao Zhao, Shaoyang Song, Chunlai Zhou |
| 2024 | Generating More Audios for End-to-End Spoken Language Understanding. Xuxin Cheng, Yuexian Zou |
| 2024 | Geometry-Guided Conditional Adaptation for Surrogate Models of Large-Scale 3D PDEs on Arbitrary Geometries. Jingyang Deng, Xingjian Li, Haoyi Xiong, Xiaoguang Hu, Jinwen Ma |
| 2024 | Getting More by Knowing Less: Bayesian Incentive Compatible Mechanisms for Fair Division. Vasilis Gkatzelis, Alexandros Psomas, Xizhi Tan, Paritosh Verma |
| 2024 | GigaPevt: Multimodal Medical Assistant. Pavel Blinov, Konstantin Egorov, Ivan Sviridov, Nikolay Ivanov, Stepan Botman, Evgeniy Tagin, Stepan Kudin, Galina Zubkova, Andrey V. Savchenko |
| 2024 | GladCoder: Stylized QR Code Generation with Grayscale-Aware Denoising Process. Yuqiu Xie, Bolin Jiang, Jiawei Li, Naiqi Li, Bin Chen, Tao Dai, Yuang Peng, Shu-Tao Xia |
| 2024 | Global Optimality of Single-Timescale Actor-Critic under Continuous State-Action Space: A Study on Linear Quadratic Regulator. Xuyang Chen, Jingliang Duan, Lin Zhao |
| 2024 | Gradformer: Graph Transformer with Exponential Decay. Chuang Liu, Zelin Yao, Yibing Zhan, Xueqi Ma, Shirui Pan, Wenbin Hu |
| 2024 | Graph Attention Network with High-Order Neighbor Information Propagation for Social Recommendation. Fei Xiong, Haoran Sun, Gui Xun Luo, Shirui Pan, Meikang Qiu, Liang Wang |
| 2024 | Graph Collaborative Expert Finding with Contrastive Learning. Qiyao Peng, Wenjun Wang, Hongtao Liu, Cuiying Huo, Minglai Shao |
| 2024 | Graph Contrastive Learning with Reinforcement Augmentation. Ziyang Liu, Chaokun Wang, Cheng Wu |
| 2024 | Graph Neural Networks for Brain Graph Learning: A Survey. Xuexiong Luo, Jia Wu, Jian Yang, Shan Xue, Amin Beheshti, Quan Z. Sheng, David McAlpine, Paul F. Sowman, Alexis Giral, Philip S. Yu |
| 2024 | Group-Aware Coordination Graph for Multi-Agent Reinforcement Learning. Wei Duan, Jie Lu, Junyu Xuan |
| 2024 | Guidance Graph Optimization for Lifelong Multi-Agent Path Finding. Yulun Zhang, He Jiang, Varun Bhatt, Stefanos Nikolaidis, Jiaoyang Li |
| 2024 | Guide to Numerical Experiments on Elections in Computational Social Choice. Niclas Boehmer, Piotr Faliszewski, Lukasz Janeczko, Andrzej Kaczmarczyk, Grzegorz Lisowski, Grzegorz Pierczynski, Simon Rey, Dariusz Stolicki, Stanislaw Szufa, Tomasz Was |
| 2024 | Guiding Clinical Reasoning with Large Language Models via Knowledge Seeds. Jiageng Wu, Xian Wu, Jie Yang |
| 2024 | Guiding GBFS through Learned Pairwise Rankings. Mingyu Hao, Felipe W. Trevizan, Sylvie Thiébaux, Patrick Ferber, Jörg Hoffmann |
| 2024 | HVOFusion: Incremental Mesh Reconstruction Using Hybrid Voxel Octree. Shaofan Liu, Junbo Chen, Jianke Zhu |
| 2024 | Hacking Task Confounder in Meta-Learning. Jingyao Wang, Yi Ren, Zeen Song, Jianqi Zhang, Changwen Zheng, Wenwen Qiang |
| 2024 | Hard-Thresholding Meets Evolution Strategies in Reinforcement Learning. Chengqian Gao, William de Vazelhes, Hualin Zhang, Bin Gu, Zhiqiang Xu |
| 2024 | HeterGCL: Graph Contrastive Learning Framework on Heterophilic Graph. Chenhao Wang, Yong Liu, Yan Yang, Wei Li |
| 2024 | Heterogeneous Causal Metapath Graph Neural Network for Gene-Microbe-Disease Association Prediction. Kexin Zhang, Feng Huang, Luotao Liu, Zhankun Xiong, Hongyu Zhang, Yuan Quan, Wen Zhang |
| 2024 | Heterogeneous Graph Transformer with Poly-Tokenization. Zhiyuan Lu, Yuan Fang, Cheng Yang, Chuan Shi |
| 2024 | Hierarchical Decompositions and Termination Analysis for Generalized Planning (Abstract Reprint). Siddharth Srivastava |
| 2024 | Hierarchical Reinforcement Learning for Point of Interest Recommendation. Yanan Xiao, Lu Jiang, Kunpeng Liu, Yuanbo Xu, Pengyang Wang, Minghao Yin |
| 2024 | Hierarchical Reinforcement Learning on Multi-Channel Hypergraph Neural Network for Course Recommendation. Lu Jiang, Yanan Xiao, Xinxin Zhao, Yuanbo Xu, Shuli Hu, Pengyang Wang, Minghao Yin |
| 2024 | Higher-Order Argumentation Frameworks: Principles and Gradual Semantics. Leila Amgoud, Dragan Doder, Marie-Christine Lagasquie-Schiex |
| 2024 | History Repeats Itself: A Baseline for Temporal Knowledge Graph Forecasting. Julia Gastinger, Christian Meilicke, Federico Errica, Timo Sztyler, Anett Schülke, Heiner Stuckenschmidt |
| 2024 | How Hard Is It to Impact the Impact of Your Paper? Yongjie Yang |
| 2024 | How to Learn Domain-Invariant Representations for Visual Reinforcement Learning: An Information-Theoretical Perspective. Shuo Wang, Zhihao Wu, Jinwen Wang, Xiaobo Hu, Youfang Lin, Kai Lv |
| 2024 | Human-AI Interaction Generation: A Connective Lens for Generative AI and Procedural Content Generation. Matthew Guzdial |
| 2024 | Human-Agent Cooperation in Games under Incomplete Information through Natural Language Communication. Shenghui Chen, Daniel Fried, Ufuk Topcu |
| 2024 | Human-Robot Alignment through Interactivity and Interpretability: Don't Assume a "Spherical Human". Matthew C. Gombolay |
| 2024 | Hundred-Kilobyte Lookup Tables for Efficient Single-Image Super-Resolution. Binxiao Huang, Jason Chun Lok Li, Jie Ran, Boyu Li, Jiajun Zhou, Dahai Yu, Ngai Wong |
| 2024 | Hundredfold Accelerating for Pathological Images Diagnosis and Prognosis through Self-reform Critical Region Focusing. Xiaotian Yu, Haoming Luo, Jiacong Hu, Xiuming Zhang, Yuexuan Wang, Wenjie Liang, Yijun Bei, Mingli Song, Zunlei Feng |
| 2024 | HyDiscGAN: A Hybrid Distributed cGAN for Audio-Visual Privacy Preservation in Multimodal Sentiment Analysis. Zhuojia Wu, Qi Zhang, Duoqian Miao, Kun Yi, Wei Fan, Liang Hu |
| 2024 | HyQ: Hardware-Friendly Post-Training Quantization for CNN-Transformer Hybrid Networks. Nam Joon Kim, Jongho Lee, Hyun Kim |
| 2024 | Hybrid Frequency Modulation Network for Image Restoration. Yuning Cui, Mingyu Liu, Wenqi Ren, Alois Knoll |
| 2024 | Hybrid planning for challenging construction problems: An Answer Set Programming approach (Abstract Reprint). Faseeh Ahmad, Volkan Patoglu, Esra Erdem |
| 2024 | HypBO: Accelerating Black-Box Scientific Experiments Using Experts' Hypotheses. Abdoulatif Cissé, Xenophon Evangelopoulos, Sam Carruthers, Vladimir V. Gusev, Andrew I. Cooper |
| 2024 | Hypergraph Self-supervised Learning with Sampling-efficient Signals. Fan Li, Xiaoyang Wang, Dawei Cheng, Wenjie Zhang, Ying Zhang, Xuemin Lin |
| 2024 | Hyperparameter Optimization Can Even Be Harmful in Off-Policy Learning and How to Deal with It. Yuta Saito, Masahiro Nomura |
| 2024 | IMM: An Imitative Reinforcement Learning Approach with Predictive Representation Learning for Automatic Market Making. Hui Niu, Siyuan Li, Jiahao Zheng, Zhouchi Lin, Bo An, Jian Li, Jian Guo |
| 2024 | Image Retrieval with Self-Supervised Divergence Minimization and Cross-Attention Classification. Vivek Trivedy, Longin Jan Latecki |
| 2024 | Imperfect-Recall Games: Equilibrium Concepts and Their Complexity. Emanuel Tewolde, Brian Hu Zhang, Caspar Oesterheld, Manolis Zampetakis, Tuomas Sandholm, Paul Goldberg, Vincent Conitzer |
| 2024 | Imperio: Language-Guided Backdoor Attacks for Arbitrary Model Control. Ka-Ho Chow, Wenqi Wei, Lei Yu |
| 2024 | Implicit Anomaly Subgraph Detection (IASD) in Multi-Domain Attribute Networks. Ying Sun |
| 2024 | Implicit Prompt Learning for Image Denoising. Yao Lu, Bo Jiang, Guangming Lu, Bob Zhang |
| 2024 | Imprecise Probabilities Meet Partial Observability: Game Semantics for Robust POMDPs. Eline M. Bovy, Marnix Suilen, Sebastian Junges, Nils Jansen |
| 2024 | Improved Approximation Algorithms for Capacitated Location Routing. Jingyang Zhao, Mingyu Xiao, Shunwang Wang |
| 2024 | Improved Approximation of Weighted MMS Fairness for Indivisible Chores. Fangxiao Wang, Bo Li, Pinyan Lu |
| 2024 | Improved Encodings of Acyclicity for Translating Answer Set Programming into Integer Programming. Masood Feyzbakhsh Rankooh, Tomi Janhunen |
| 2024 | Improved Evolutionary Algorithms for Submodular Maximization with Cost Constraints. Yanhui Zhu, Samik Basu, A. Pavan |
| 2024 | Improved Parallel Algorithm for Non-Monotone Submodular Maximization under Knapsack Constraint. Tan D. Tran, Canh V. Pham, Dung T. K. Ha, Phuong N. H. Pham |
| 2024 | Improving Adversarial Robustness via Feature Pattern Consistency Constraint. Jiacong Hu, Jingwen Ye, Zunlei Feng, Jiazhen Yang, Shunyu Liu, Xiaotian Yu, Lingxiang Jia, Mingli Song |
| 2024 | Improving Multi-agent Reinforcement Learning with Stable Prefix Policy. Yue Deng, Zirui Wang, Yin Zhang |
| 2024 | Improving Paratope and Epitope Prediction by Multi-Modal Contrastive Learning and Interaction Informativeness Estimation. Zhiwei Wang, Yongkang Wang, Wen Zhang |
| 2024 | Improving Pseudo Labels with Global-Local Denoising Framework for Cross-lingual Named Entity Recognition. Zhuojun Ding, Wei Wei, Xiaoye Qu, Dangyang Chen |
| 2024 | Improving Zero-Shot Cross-Lingual Transfer via Progressive Code-Switching. Zhuoran Li, Chunming Hu, Junfan Chen, Zhijun Chen, Xiaohui Guo, Richong Zhang |
| 2024 | InViTe: Individual Virtual Transfer for Personalized 3D Face Generation System. Mingyu Jang, Kyungjune Lee, Seongmin Lee, Hoseok Tong, Juwan Chung, Yusung Ro, Sanghoon Lee |
| 2024 | Incorporating Schema-Aware Description into Document-Level Event Extraction. Zijie Xu, Peng Wang, Wenjun Ke, Guozheng Li, Jiajun Liu, Ke Ji, Xiye Chen, Chenxiao Wu |
| 2024 | Individual Causal Structure Learning from Population Data. Wei Chen, Xiaokai Huang, Zijian Li, Ruichu Cai, Zhiyi Huang, Zhifeng Hao |
| 2024 | Individual Fairness under Group Fairness Constraints in Bipartite Matching - One Framework to Approximate Them All. Atasi Panda, Anand Louis, Prajakta Nimbhorkar |
| 2024 | Individual Rationality in Topological Distance Games Is Surprisingly Hard. Argyrios Deligkas, Eduard Eiben, Dusan Knop, Simon Schierreich |
| 2024 | Inferring Iterated Function Systems Approximately from Fractal Images. Haotian Liu, Dixin Luo, Hongteng Xu |
| 2024 | Inferring Ontological Categories of OWL Classes Using Foundational Rules (Extended Abstract). Pedro Paulo F. Barcelos, Tiago Prince Sales, Elena Romanenko, João Paulo A. Almeida, Gal Engelberg, Dan Klein, Giancarlo Guizzardi |
| 2024 | InfoMatch: Entropy Neural Estimation for Semi-Supervised Image Classification. Qi Han, Zhibo Tian, Chengwei Xia, Kun Zhan |
| 2024 | Information-Theoretic Opacity-Enforcement in Markov Decision Processes. Chongyang Shi, Yuheng Bu, Jie Fu |
| 2024 | Innovative Directional Encoding in Speech Processing: Leveraging Spherical Harmonics Injection for Multi-Channel Speech Enhancement. Jiahui Pan, Pengjie Shen, Hui Zhang, Xueliang Zhang |
| 2024 | Inside Out: Emotional Multiagent Multimodal Dialogue Systems. Andrey V. Savchenko, Lyudmila V. Savchenko |
| 2024 | Instance-Level Metalearning for Outlier Detection. Long Vu, Peter Kirchner, Charu C. Aggarwal, Horst Samulowitz |
| 2024 | Instantiations and Computational Aspects of Non-Flat Assumption-based Argumentation. Tuomo Lehtonen, Anna Rapberger, Francesca Toni, Markus Ulbricht, Johannes P. Wallner |
| 2024 | InstructEdit: Instruction-Based Knowledge Editing for Large Language Models. Ningyu Zhang, Bozhong Tian, Siyuan Cheng, Xiaozhuan Liang, Yi Hu, Kouying Xue, Yanjie Gou, Xi Chen, Huajun Chen |
| 2024 | InstructME: An Instruction Guided Music Edit Framework with Latent Diffusion Models. Bing Han, Junyu Dai, Weituo Hao, Xinyan He, Dong Guo, Jitong Chen, Yuxuan Wang, Yanmin Qian, Xuchen Song |
| 2024 | IntEr-HRI Competition: Intrinsic Error Evaluation during Human - Robot Interaction. Kartik Chari, Niklas Kueper, Su Kyoung Kim, Frank Kirchner, Elsa Andrea Kirchner |
| 2024 | Integrating Intent Understanding and Optimal Behavior Planning for Behavior Tree Generation from Human Instructions. Xinglin Chen, Yishuai Cai, Yunxin Mao, Minglong Li, Wenjing Yang, Weixia Xu, Ji Wang |
| 2024 | Integrating LLM, VLM, and Text-to-Image Models for Enhanced Information Graphics: A Methodology for Accurate and Visually Engaging Visualizations. Chao-Ting Chen, Hen-Hsen Huang |
| 2024 | Integrating View Conditions for Image Synthesis. Jinbin Bai, Zhen Dong, Aosong Feng, Xiao Zhang, Tian Ye, Kaicheng Zhou |
| 2024 | Integrating Vision-Language Semantic Graphs in Multi-View Clustering. Junlong Ke, Zichen Wen, Yechenhao Yang, Chenhang Cui, Yazhou Ren, Xiaorong Pu, Lifang He |
| 2024 | Intelligent Agents for Auction-based Federated Learning: A Survey. Xiaoli Tang, Han Yu, Xiaoxiao Li, Sarit Kraus |
| 2024 | IntensPure: Attack Intensity-aware Secondary Domain Adaptive Diffusion for Adversarial Purification. Eungi Lee, Moon Seok Lee, Jae Hyun Yoon, Seok Bong Yoo |
| 2024 | Intention Progression with Temporally Extended Goals. Yuan Yao, Natasha Alechina, Brian Logan |
| 2024 | Interactive Visual Learning for Stable Diffusion. Seongmin Lee, Benjamin Hoover, Hendrik Strobelt, Zijie J. Wang, Shengyun Peng, Austin P. Wright, Kevin Li, Haekyu Park, Haoyang Yang, Duen Horng Chau |
| 2024 | Interpretable Network Visualizations: A Human-in-the-Loop Approach for Post-hoc Explainability of CNN-based Image Classification. Matteo Bianchi, Antonio De Santis, Andrea Tocchetti, Marco Brambilla |
| 2024 | Interpretable Tensor Fusion. Saurabh Varshneya, Antoine Ledent, Philipp Liznerski, Andriy Balinskyy, Purvanshi Mehta, Waleed Mustafa, Marius Kloft |
| 2024 | Intertwining CP and NLP: The Generation of Unreasonably Constrained Sentences. Alexandre Bonlarron, Jean-Charles Régin |
| 2024 | Invertible Residual Rescaling Models. Jinmin Li, Tao Dai, Yaohua Zha, Yilu Luo, Longfei Lu, Bin Chen, Zhi Wang, Shu-Tao Xia, Jingyun Zhang |
| 2024 | It Ain't That Bad: Understanding the Mysterious Performance Drop in OOD Generalization for Generative Transformer Models. Xingcheng Xu, Zihao Pan, Haipeng Zhang, Yanqing Yang |
| 2024 | Joint Domain Adaptive Graph Convolutional Network. Niya Yang, Ye Wang, Zhizhi Yu, Dongxiao He, Xin Huang, Di Jin |
| 2024 | Joint Input and Output Coordination for Class-Incremental Learning. Shuai Wang, Yibing Zhan, Yong Luo, Han Hu, Wei Yu, Yonggang Wen, Dacheng Tao |
| 2024 | Joint Multimodal Aspect Sentiment Analysis with Aspect Enhancement and Syntactic Adaptive Learning. Linlin Zhu, Heli Sun, Qunshu Gao, Tingzhou Yi, Liang He |
| 2024 | Joint Source Localization in Different Platforms via Implicit Propagation Characteristics of Similar Topics. Zhen Wang, Dongpeng Hou, Shu Yin, Chao Gao, Xianghua Li |
| 2024 | Justifying Argument Acceptance with Collective Attacks: Discussions and Disputes. Giovanni Buraglio, Wolfgang Dvorák, Matthias König, Markus Ulbricht |
| 2024 | KALE: An Artwork Image Captioning System Augmented with Heterogeneous Graph. Yanbei Jiang, Krista A. Ehinger, Jey Han Lau |
| 2024 | KDDC: Knowledge-Driven Disentangled Causal Metric Learning for Pre-Travel Out-of-Town Recommendation. Yinghui Liu, Guojiang Shen, Chengyong Cui, Zhenzhen Zhao, Xiao Han, Jiaxin Du, Xiangyu Zhao, Xiangjie Kong |
| 2024 | KG-CoT: Chain-of-Thought Prompting of Large Language Models over Knowledge Graphs for Knowledge-Aware Question Answering. Ruilin Zhao, Feng Zhao, Long Wang, Xianzhi Wang, Guandong Xu |
| 2024 | KTCN: Enhancing Open-World Object Detection with Knowledge Transfer and Class-Awareness Neutralization. Xing Xi, Yangyang Huang, Jinhao Lin, Ronghua Luo |
| 2024 | Kernel Readout for Graph Neural Networks. Jiajun Yu, Zhihao Wu, Jinyu Cai, Adele Lu Jia, Jicong Fan |
| 2024 | Knowledge Compilation for Incremental and Checkable Stochastic Boolean Satisfiability. Che Cheng, Yun-Rong Luo, Jie-Hong R. Jiang |
| 2024 | Knowledge Distillation in Federated Learning: A Practical Guide. Alessio Mora, Irene Tenison, Paolo Bellavista, Irina Rish |
| 2024 | KnowledgeHub: An End-to-End Tool for Assisted Scientific Discovery. Shinnosuke Tanaka, James Barry, Vishnudev Kuruvanthodi, Movina Moses, Maxwell J. Giammona, Nathan Herr, Mohab Elkaref, Geeth de Mel |
| 2024 | LEAP: Optimization Hierarchical Federated Learning on Non-IID Data with Coalition Formation Game. Jianfeng Lu, Yue Chen, Shuqin Cao, Longbiao Chen, Wei Wang, Yun Xin |
| 2024 | LEEC for Judicial Fairness: A Legal Element Extraction Dataset with Extensive Extra-Legal Labels. Zongyue Xue, Huanghai Liu, Yiran Hu, Yuliang Qian, Yajing Wang, Kangle Kong, Chenlu Wang, Yun Liu, Weixing Shen |
| 2024 | LG-FGAD: An Effective Federated Graph Anomaly Detection Framework. Jinyu Cai, Yunhe Zhang, Jicong Fan, See-Kiong Ng |
| 2024 | LG-GNN: Local-Global Adaptive Graph Neural Network for Modeling Both Homophily and Heterophily. Zhizhi Yu, Bin Feng, Dongxiao He, Zizhen Wang, Yuxiao Huang, Zhiyong Feng |
| 2024 | LLM-based Multi-Level Knowledge Generation for Few-shot Knowledge Graph Completion. Qian Li, Zhuo Chen, Cheng Ji, Shiqi Jiang, Jianxin Li |
| 2024 | LLM-powered GraphQL Generator for Data Retrieval. Balaji Ganesan, Sambit Ghosh, Nitin Gupta, Manish Kesarwani, Sameep Mehta, Renuka Sindhgatta |
| 2024 | LLMem: Estimating GPU Memory Usage for Fine-Tuning Pre-Trained LLMs. Taeho Kim, Yanming Wang, Vatshank Chaturvedi, Lokesh Gupta, Seyeon Kim, Yongin Kwon, Sangtae Ha |
| 2024 | LLMs Can Find Mathematical Reasoning Mistakes by Pedagogical Chain-of-Thought. Zhuoxuan Jiang, Haoyuan Peng, Shanshan Feng, Fan Li, Dongsheng Li |
| 2024 | LSPAN: Spectrally Localized Augmentation for Graph Consistency Learning. Heng-Kai Zhang, Yi-Ge Zhang, Zhi Zhou, Yufeng Li |
| 2024 | Label Distribution Learning from Logical Label. Yuheng Jia, Jiawei Tang, Jiahao Jiang |
| 2024 | Label Leakage in Vertical Federated Learning: A Survey. Yige Liu, Yiwei Lou, Yang Liu, Yongzhi Cao, Hanpin Wang |
| 2024 | Label-efficient Semantic Scene Completion with Scribble Annotations. Song Wang, Jiawei Yu, Wentong Li, Hao Shi, Kailun Yang, Junbo Chen, Jianke Zhu |
| 2024 | LangXAI: Integrating Large Vision Models for Generating Textual Explanations to Enhance Explainability in Visual Perception Tasks. Truong Thanh Hung Nguyen, Tobias Clement, Phuc Truong Loc Nguyen, Nils Kemmerzell, Van Binh Truong, Vo Thanh Khang Nguyen, Mohamed Abdelaal, Hung Cao |
| 2024 | Langshaw: Declarative Interaction Protocols Based on Sayso and Conflict. Munindar P. Singh, Samuel H. Christie V., Amit K. Chopra |
| 2024 | Large Language Model Based Multi-agents: A Survey of Progress and Challenges. Taicheng Guo, Xiuying Chen, Yaqi Wang, Ruidi Chang, Shichao Pei, Nitesh V. Chawla, Olaf Wiest, Xiangliang Zhang |
| 2024 | Large Language Model Guided Knowledge Distillation for Time Series Anomaly Detection. Chen Liu, Shibo He, Qihang Zhou, Shizhong Li, Wenchao Meng |
| 2024 | Large Language Model as a Policy Teacher for Training Reinforcement Learning Agents. Zihao Zhou, Bin Hu, Chenyang Zhao, Pu Zhang, Bin Liu |
| 2024 | Large Language Model-Enhanced Algorithm Selection: Towards Comprehensive Algorithm Representation. Xingyu Wu, Yan Zhong, Jibin Wu, Bingbing Jiang, Kay Chen Tan |
| 2024 | Large Language Models Are Not Strong Abstract Reasoners. Gaël Gendron, Qiming Bao, Michael Witbrock, Gillian Dobbie |
| 2024 | Large Language Models for Human-AI Co-Creation of Robotic Dance Performances. Allegra De Filippo, Michela Milano |
| 2024 | Large Language Models for Time Series: A Survey. Xiyuan Zhang, Ranak Roy Chowdhury, Rajesh K. Gupta, Jingbo Shang |
| 2024 | Layered Graph Security Games. Jakub Cerný, Chun Kai Ling, Christian Kroer, Garud Iyengar |
| 2024 | Layered and Staged Monte Carlo Tree Search for SMT Strategy Synthesis. Zhengyang Lu, Stefan Siemer, Piyush Jha, Joel D. Day, Florin Manea, Vijay Ganesh |
| 2024 | Laying the Foundations for Solving FOND HTN Problems: Grounding, Search, Heuristics (and Benchmark Problems). Mohammad Yousefi, Pascal Bercher |
| 2024 | LeMeViT: Efficient Vision Transformer with Learnable Meta Tokens for Remote Sensing Image Interpretation. Wentao Jiang, Jing Zhang, Di Wang, Qiming Zhang, Zengmao Wang, Bo Du |
| 2024 | LeRet: Language-Empowered Retentive Network for Time Series Forecasting. Qihe Huang, Zhengyang Zhou, Kuo Yang, Gengyu Lin, Zhongchao Yi, Yang Wang |
| 2024 | Learning Big Logical Rules by Joining Small Rules. Céline Hocquette, Andreas Niskanen, Rolf Morel, Matti Järvisalo, Andrew Cropper |
| 2024 | Learning Causally Disentangled Representations via the Principle of Independent Causal Mechanisms. Aneesh Komanduri, Yongkai Wu, Feng Chen, Xintao Wu |
| 2024 | Learning Conditional Preference Networks: An Approach Based on the Minimum Description Length Principle. Pierre-François Gimenez, Jérôme Mengin |
| 2024 | Learning Embeddings for Sequential Tasks Using Population of Agents. Mridul Mahajan, Georgios Tzannetos, Goran Radanovic, Adish Singla |
| 2024 | Learning Fair Cooperation in Mixed-Motive Games with Indirect Reciprocity. Martin Smit, Fernando P. Santos |
| 2024 | Learning Fair Representations for Recommendation via Information Bottleneck Principle. Junsong Xie, Yonghui Yang, Zihan Wang, Le Wu |
| 2024 | Learning Generalized Policies for Fully Observable Non-Deterministic Planning Domains. Till Hofmann, Hector Geffner |
| 2024 | Learning Hierarchy-Enhanced POI Category Representations Using Disentangled Mobility Sequences. Hongwei Jia, Meng Chen, Weiming Huang, Kai Zhao, Yongshun Gong |
| 2024 | Learning Label Dependencies for Visual Information Extraction. Minghong Yao, Liansheng Zhuang, Houqiang Li, Jiuchang Wei |
| 2024 | Learning Label-Specific Multiple Local Metrics for Multi-Label Classification. Junxiang Mao, Jun-Yi Hang, Min-Ling Zhang |
| 2024 | Learning Logic Programs by Discovering Higher-Order Abstractions. Céline Hocquette, Sebastijan Dumancic, Andrew Cropper |
| 2024 | Learning Low-Rank Tensor Cores with Probabilistic ℓ0-Regularized Rank Selection for Model Compression. Tianxiao Cao, Lu Sun, Canh Hao Nguyen, Hiroshi Mamitsuka |
| 2024 | Learning Multi-Granularity and Adaptive Representation for Knowledge Graph Reasoning. Ziyu Shang, Peng Wang, Wenjun Ke, Jiajun Liu, Hailang Huang, Guozheng Li, Chenxiao Wu, Jianghan Liu, Xiye Chen, Yining Li |
| 2024 | Learning Pareto Set for Multi-Objective Continuous Robot Control. Tianye Shu, Ke Shang, Cheng Gong, Yang Nan, Hisao Ishibuchi |
| 2024 | Learning Robust Classifiers with Self-Guided Spurious Correlation Mitigation. Guangtao Zheng, Wenqian Ye, Aidong Zhang |
| 2024 | Learning Spatial Similarity Distribution for Few-shot Object Counting. Yuanwu Xu, Feifan Song, Haofeng Zhang |
| 2024 | Learning Structural Causal Models through Deep Generative Models: Methods, Guarantees, and Challenges. Audrey Poinsot, Alessandro Ferreira Leite, Nicolas Chesneau, Michèle Sebag, Marc Schoenauer |
| 2024 | Learning Translations: Emergent Communication Pretraining for Cooperative Language Acquisition. Dylan Cope, Peter McBurney |
| 2024 | Learning What to Monitor: Using Machine Learning to Improve past STL Monitoring. Andrea Brunello, Luca Geatti, Angelo Montanari, Nicola Saccomanno |
| 2024 | Learning a Spiking Neural Network for Efficient Image Deraining. Tianyu Song, Guiyue Jin, Pengpeng Li, Kui Jiang, Xiang Chen, Jiyu Jin |
| 2024 | Learning from Long-Tailed Noisy Data with Sample Selection and Balanced Loss. Lefan Zhang, Zhang-Hao Tian, Wujun Zhou, Wei Wang |
| 2024 | Learning in CubeRes Model Space for Anomaly Detection in 3D GPR Data. Xiren Zhou, Shikang Liu, Ao Chen, Huanhuan Chen |
| 2024 | Learning to Resolve Social Dilemmas: A Survey (Abstract Reprint). Shaheen Fatima, Nicholas R. Jennings, Michael J. Wooldridge |
| 2024 | Learning to Solve Geometry Problems via Simulating Human Dual-Reasoning Process. Tong Xiao, Jiayu Liu, Zhenya Huang, Jinze Wu, Jing Sha, Shijin Wang, Enhong Chen |
| 2024 | Learning with Posterior Sampling for Revenue Management under Time-varying Demand. Kazuma Shimizu, Junya Honda, Shinji Ito, Shinji Nakadai |
| 2024 | Learning-Based Tracking-before-Detect for RF-Based Unconstrained Indoor Human Tracking. Zhi Wu, Dongheng Zhang, Zixin Shang, Yuqin Yuan, Hanqin Gong, Binquan Wang, Zhi Lu, Yadong Li, Yang Hu, Qibin Sun, Yan Chen |
| 2024 | Let's Start Over: Retraining with Selective Samples for Generalized Category Discovery. Zhimao Peng, Enguang Wang, Xialei Liu, Ming-Ming Cheng |
| 2024 | Lifted Planning: Recent Advances in Planning Using First-Order Representations. Augusto B. Corrêa, Giuseppe De Giacomo |
| 2024 | Linear-Time Optimal Deadlock Detection for Efficient Scheduling in Multi-Track Railway Networks. Hastyn Doshi, Ayush Tripathi, Keshav Agarwal, Harshad Khadilkar, Shivaram Kalyanakrishnan |
| 2024 | LitE-SNN: Designing Lightweight and Efficient Spiking Neural Network through Spatial-Temporal Compressive Network Search and Joint Optimization. Qianhui Liu, Jiaqi Yan, Malu Zhang, Gang Pan, Haizhou Li |
| 2024 | LocMoE: A Low-overhead MoE for Large Language Model Training. Jing Li, Zhijie Sun, Xuan He, Li Zeng, Yi Lin, Entong Li, Binfan Zheng, Rongqian Zhao, Xin Chen |
| 2024 | Long Short-Term Dynamic Prototype Alignment Learning for Video Anomaly Detection. Chao Huang, Jie Wen, Chengliang Liu, Yabo Liu |
| 2024 | Long-term Detection and Monitory of Chinese Urban Village Using Satellite Imagery. Yuming Lin, Xin Zhang, Yu Liu, Zhenyu Han, Qingmin Liao, Yong Li |
| 2024 | LongVQ: Long Sequence Modeling with Vector Quantization on Structured Memory. Zicheng Liu, Li Wang, Siyuan Li, Zedong Wang, Haitao Lin, Stan Z. Li |
| 2024 | Look-ahead Search on Top of Policy Networks in Imperfect Information Games. Ondrej Kubícek, Neil Burch, Viliam Lisý |
| 2024 | M2Beats: When Motion Meets Beats in Short-form Videos. Dongxiang Jiang, Yongchang Zhang, Shuai He, Anlong Ming |
| 2024 | M2RL: A Multi-player Multi-agent Reinforcement Learning Framework for Complex Games. Tongtong Yu, Chenghua He, Qiyue Yin |
| 2024 | MARCO: A Memory-Augmented Reinforcement Framework for Combinatorial Optimization. Andoni I. Garmendia, Quentin Cappart, Josu Ceberio, Alexander Mendiburu |
| 2024 | MARS: Multimodal Active Robotic Sensing for Articulated Characterization. Hongliang Zeng, Ping Zhang, Chengjiong Wu, Jiahua Wang, Tingyu Ye, Fang Li |
| 2024 | MAS-SAM: Segment Any Marine Animal with Aggregated Features. Tianyu Yan, Zifu Wan, Xinhao Deng, Pingping Zhang, Yang Liu, Huchuan Lu |
| 2024 | MCM: Multi-condition Motion Synthesis Framework. Zeyu Ling, Bo Han, Yongkang Wong, Han Lin, Mohan S. Kankanhalli, Weidong Geng |
| 2024 | MEDVOC: Vocabulary Adaptation for Fine-tuning Pre-trained Language Models on Medical Text Summarization. Gunjan Balde, Soumyadeep Roy, Mainack Mondal, Niloy Ganguly |
| 2024 | MFTraj: Map-Free, Behavior-Driven Trajectory Prediction for Autonomous Driving. Haicheng Liao, Zhenning Li, Chengyue Wang, Huanming Shen, Dongping Liao, Bonan Wang, Guofa Li, Chengzhong Xu |
| 2024 | MGCBS: An Optimal and Efficient Algorithm for Solving Multi-Goal Multi-Agent Path Finding Problem. Mingkai Tang, Yuanhang Li, Hongji Liu, Yingbing Chen, Ming Liu, Lujia Wang |
| 2024 | MICRO: Model-Based Offline Reinforcement Learning with a Conservative Bellman Operator. Xiao-Yin Liu, Xiao-Hu Zhou, Guotao Li, Hao Li, Mei-Jiang Gui, Tian-Yu Xiang, De-Xing Huang, Zeng-Guang Hou |
| 2024 | MISA: MIning Saliency-Aware Semantic Prior for Box Supervised Instance Segmentation. Hao Zhu, Yan Zhu, Jiayu Xiao, Yike Ma, Yucheng Zhang, Jintao Li, Feng Dai |
| 2024 | MLP-DINO: Category Modeling and Query Graphing with Deep MLP for Object Detection. Guiping Cao, Wenjian Huang, Xiangyuan Lan, Jianguo Zhang, Dongmei Jiang, Yaowei Wang |
| 2024 | MMGNN: A Molecular Merged Graph Neural Network for Explainable Solvation Free Energy Prediction. Wenjie Du, Shuai Zhang, Di Wu, Jun Xia, Ziyuan Zhao, Junfeng Fang, Yang Wang |
| 2024 | MMVQA: A Comprehensive Dataset for Investigating Multipage Multimodal Information Retrieval in PDF-based Visual Question Answering. Yihao Ding, Kaixuan Ren, Jiabin Huang, Siwen Luo, Soyeon Caren Han |
| 2024 | MOSER: Learning Sensory Policy for Task-specific Viewpoint via View-conditional World Model. Shenghua Wan, Hai-Hang Sun, Le Gan, De-Chuan Zhan |
| 2024 | MPGraf: a Modular and Pre-trained Graphformer for Learning to Rank at Web-scale (Extended Abstract). Yuchen Li, Haoyi Xiong, Linghe Kong, Zeyi Sun, Hongyang Chen, Shuaiqiang Wang, Dawei Yin |
| 2024 | MacMic: Executing Iceberg Orders via Hierarchical Reinforcement Learning. Hui Niu, Siyuan Li, Jian Li |
| 2024 | Machine Unlearning via Null Space Calibration. Huiqiang Chen, Tianqing Zhu, Xin Yu, Wanlei Zhou |
| 2024 | Machine Unlearning: Challenges in Data Quality and Access. Miao Xu |
| 2024 | Mahjong AI Competition: Exploring AI Application in Complex Real-World Games. Yunlong Lu, Wenxin Li |
| 2024 | Maintaining Diversity Provably Helps in Evolutionary Multimodal Optimization. Shengjie Ren, Zhijia Qiu, Chao Bian, Miqing Li, Chao Qian |
| 2024 | Make Bricks with a Little Straw: Large-Scale Spatio-Temporal Graph Learning with Restricted GPU-Memory Capacity. Binwu Wang, Pengkun Wang, Zhengyang Zhou, Zhe Zhao, Wei Xu, Yang Wang |
| 2024 | Make Graph Neural Networks Great Again: A Generic Integration Paradigm of Topology-Free Patterns for Traffic Speed Prediction. Yicheng Zhou, Pengfei Wang, Hao Dong, Denghui Zhang, Dingqi Yang, Yanjie Fu, Pengyang Wang |
| 2024 | Making LLMs as Fine-Grained Relation Extraction Data Augmentor. Yifan Zheng, Wenjun Ke, Qi Liu, Yuting Yang, Ruizhuo Zhao, Dacheng Feng, Jianwei Zhang, Zhi Fang |
| 2024 | Manipulating Embeddings of Stable Diffusion Prompts. Niklas Deckers, Julia Peters, Martin Potthast |
| 2024 | Markov Constraint as Large Language Model Surrogate. Alexandre Bonlarron, Jean-Charles Régin |
| 2024 | Massively Parallel Single-Source SimRanks in O(log N) Rounds. Siqiang Luo, Zulun Zhu |
| 2024 | Mean Aggregator Is More Robust than Robust Aggregators under Label Poisoning Attacks. Jie Peng, Weiyu Li, Qing Ling |
| 2024 | Mechanisms That Play a Game, Not Toss a Coin. Toby Walsh |
| 2024 | MediTab: Scaling Medical Tabular Data Predictors via Data Consolidation, Enrichment, and Refinement. Zifeng Wang, Chufan Gao, Cao Xiao, Jimeng Sun |
| 2024 | Medical Neural Architecture Search: Survey and Taxonomy. Hadjer Benmeziane, Imane Hamzaoui, Zayneb Cherif, Kaoutar El Maghraoui |
| 2024 | Memorizing Documents with Guidance in Large Language Models. Bumjin Park, Jaesik Choi |
| 2024 | Meta In-Context Learning Makes Large Language Models Better Zero and Few-Shot Relation Extractors. Guozheng Li, Peng Wang, Jiajun Liu, Yikai Guo, Ke Ji, Ziyu Shang, Zijie Xu |
| 2024 | Meta-Learning via PAC-Bayesian with Data-Dependent Prior: Generalization Bounds from Local Entropy. Shiyu Liu, Wei Shi, Zenglin Xu, Shaogao Lv, Yehong Zhang, Hui Wang |
| 2024 | MetaISP: Efficient RAW-to-sRGB Mappings with Merely 1M Parameters. Zigeng Chen, Chaowei Liu, Yuan Yuan, Michael Bi Mi, Xinchao Wang |
| 2024 | MetaJND: A Meta-Learning Approach for Just Noticeable Difference Estimation. Miaohui Wang, Yukuan Zhu, Rong Zhang, Wuyuan Xie |
| 2024 | Methods for recovering conditional independence graphs (Abstract Reprint). Harsh Shrivastava, Urszula Chajewska |
| 2024 | Metric Distortion with Elicited Pairwise Comparisons. Soroush Ebadian, Daniel Halpern, Evi Micha |
| 2024 | Minimizing Weighted Counterfactual Regret with Optimistic Online Mirror Descent. Hang Xu, Kai Li, Bingyun Liu, Haobo Fu, Qiang Fu, Junliang Xing, Jian Cheng |
| 2024 | Mitigating robust overfitting via self-residual-calibration regularization (Abstract Reprint). Hong Liu, Zhun Zhong, Nicu Sebe, Shin'ichi Satoh |
| 2024 | Model Checking Causality. Tiago de Lima, Emiliano Lorini |
| 2024 | Model-Free Preference Elicitation. Carlos Martin, Craig Boutilier, Ofer Meshi, Tuomas Sandholm |
| 2024 | Modeling Personalized Retweeting Behaviors for Multi-Stage Cascade Popularity Prediction. Mingyang Zhou, Yanjie Lin, Gang Liu, Zuwen Li, Hao Liao, Rui Mao |
| 2024 | Modeling Selective Feature Attention for Lightweight Text Matching. Jianxiang Zang, Hui Liu |
| 2024 | More is Better: Deep Domain Adaptation with Multiple Sources. Sicheng Zhao, Hui Chen, Hu Huang, Pengfei Xu, Guiguang Ding |
| 2024 | Motion-Aware Heatmap Regression for Human Pose Estimation in Videos. Inpyo Song, Jongmin Lee, Moonwook Ryu, Jangwon Lee |
| 2024 | MuChin: A Chinese Colloquial Description Benchmark for Evaluating Language Models in the Field of Music. Zihao Wang, Shuyu Li, Tao Zhang, Qi Wang, Pengfei Yu, Jinyang Luo, Yan Liu, Ming Xi, Kejun Zhang |
| 2024 | MuEP: A Multimodal Benchmark for Embodied Planning with Foundation Models. Kanxue Li, Baosheng Yu, Qi Zheng, Yibing Zhan, Yuhui Zhang, Tianle Zhang, Yijun Yang, Yue Chen, Lei Sun, Qiong Cao, Li Shen, Lusong Li, Dapeng Tao, Xiaodong He |
| 2024 | Multi-Attention Based Visual-Semantic Interaction for Few-Shot Learning. Peng Zhao, Yin Wang, Wei Wang, Jie Mu, Huiting Liu, Cong Wang, Xiaochun Cao |
| 2024 | Multi-Granularity Graph-Convolution-Based Method for Weakly Supervised Person Search. Haichun Tai, De Cheng, Jie Li, Nannan Wang, Xinbo Gao |
| 2024 | Multi-Modal Sarcasm Detection Based on Dual Generative Processes. Huiying Ma, Dongxiao He, Xiaobao Wang, Di Jin, Meng Ge, Longbiao Wang |
| 2024 | Multi-Modality Spatio-Temporal Forecasting via Self-Supervised Learning. Jiewen Deng, Renhe Jiang, Jiaqi Zhang, Xuan Song |
| 2024 | Multi-Relational Graph Attention Network for Social Relationship Inference from Human Mobility Data. Guangming Qin, Jianpeng Qi, Bin Wang, Guiyuan Jiang, Yanwei Yu, Junyu Dong |
| 2024 | Multi-TA: Multilevel Temporal Augmentation for Robust Septic Shock Early Prediction. Hyunwoo Sohn, Kyungjin Park, Baekkwan Park, Min Chi |
| 2024 | Multi-level Disentangling Network for Cross-Subject Emotion Recognition Based on Multimodal Physiological Signals. Ziyu Jia, Fengming Zhao, Yuzhe Guo, Hairong Chen, Tianzi Jiang |
| 2024 | Multi-scale Context-Aware Networks Based on Fragment Association for Human Activity Recognition. Zhiqiong Wang, Hanyu Liu, Boyang Zhao, Qi Shen, Mingzhe Li, Ningfeng Que, Mingke Yan, Junchang Xin |
| 2024 | MultifacetEval: Multifaceted Evaluation to Probe LLMs in Mastering Medical Knowledge. Yuxuan Zhou, Xien Liu, Chen Ning, Ji Wu |
| 2024 | Multimodal Representation Distribution Learning for Medical Image Segmentation. Chao Huang, Weichao Cai, Qiuping Jiang, Zhihua Wang |
| 2024 | Multiplex Graph Representation Learning via Bi-level Optimization. Yudi Huang, Yujie Mo, Yujing Liu, Ci Nie, Guoqiu Wen, Xiaofeng Zhu |
| 2024 | Multivariate Analysis and Structural Restrictions in Computational Social Choice. Simon Schierreich |
| 2024 | MuseCL: Predicting Urban Socioeconomic Indicators via Multi-Semantic Contrastive Learning. Xixian Yong, Xiao Zhou |
| 2024 | MusicMagus: Zero-Shot Text-to-Music Editing via Diffusion Models. Yixiao Zhang, Yukara Ikemiya, Gus Xia, Naoki Murata, Marco A. Martínez Ramírez, Wei-Hsiang Liao, Yuki Mitsufuji, Simon Dixon |
| 2024 | Musical Phrase Segmentation via Grammatical Induction. Reed Perkins, Dan Ventura |
| 2024 | N-Agent Ad Hoc Teamwork. Caroline Wang |
| 2024 | NEGOTIATOR: A Comprehensive Framework for Human-Agent Negotiation Integrating Preferences, Interaction, and Emotion. Mehmet Onur Keskin, Berk Buzcu, Berkecan Koçyigit, Umut Çakan, Anil Dogru, Reyhan Aydogan |
| 2024 | NELLIE: A Neuro-Symbolic Inference Engine for Grounded, Compositional, and Explainable Reasoning. Nathaniel Weir, Peter Clark, Benjamin Van Durme |
| 2024 | NanoAdapt: Mitigating Negative Transfer in Test Time Adaptation with Extremely Small Batch Sizes. Shiji Zhao, Shao-Yuan Li, Sheng-Jun Huang |
| 2024 | Natural Language Decomposition and Interpretation of Complex Utterances. Harsh Jhamtani, Hao Fang, Patrick Xia, Eran Levy, Jacob Andreas, Benjamin Van Durme |
| 2024 | Natural Language-centered Inference Network for Multi-modal Fake News Detection. Qiang Zhang, Jiawei Liu, Fanrui Zhang, Jingyi Xie, Zheng-Jun Zha |
| 2024 | Navigating Continual Test-time Adaptation with Symbiosis Knowledge. Xu Yang, Moqi Li, Jie Yin, Kun Wei, Cheng Deng |
| 2024 | Negative Human Rights as a Basis for Long-term AI Safety and Regulation (Abstract Reprint). Ondrej Bajgar, Jan Horenovsky |
| 2024 | Negative Prompt Driven Complementary Parallel Representation for Open-World 3D Object Retrieval. Yang Xu, Yifan Feng, Yue Gao |
| 2024 | Negative-Binomial Randomized Gamma Dynamical Systems for Heterogeneous Overdispersed Count Time Sequences. Rui Huang, Sikun Yang, Heinz Koeppl |
| 2024 | NegativePrompt: Leveraging Psychology for Large Language Models Enhancement via Negative Emotional Stimuli. Xu Wang, Cheng Li, Yi Chang, Jindong Wang, Yuan Wu |
| 2024 | NegoLog: An Integrated Python-based Automated Negotiation Framework with Enhanced Assessment Components. Anil Dogru, Mehmet Onur Keskin, Catholijn M. Jonker, Tim Baarslag, Reyhan Aydogan |
| 2024 | NeuroSymbolic LLM for Mathematical Reasoning and Software Engineering. Prithwish Jana |
| 2024 | No Regularization Is Needed: Efficient and Effective Incomplete Label Distribution Learning. Xiang Li, Songcan Chen |
| 2024 | Nonconvex Multiview Subspace Clustering Framework with Efficient Method Designs and Theoretical Analysis. Zhi Wang, Zhuo Liu, Dong Hu, Tao Jia |
| 2024 | Nonparametric Detection of Gerrymandering in Multiparty Plurality Elections. Dariusz Stolicki, Wojciech Slomczynski, Stanislaw Szufa |
| 2024 | Normative Testimony and Belief Functions: A Formal Theory of Norm Learning. Taylor Olson, Kenneth D. Forbus |
| 2024 | Nukplex: An Efficient Local Search Algorithm for Maximum K-Plex Problem. Rui Sun, Yiyuan Wang, Shimao Wang, Hui Li, Ximing Li, Minghao Yin |
| 2024 | O2ARC 3.0: A Platform for Solving and Creating ARC Tasks. Suyeon Shim, Dohyun Ko, Hosung Lee, Seokki Lee, Doyoon Song, Sanha Hwang, Sejin Kim, Sundong Kim |
| 2024 | OD-DETR: Online Distillation for Stabilizing Training of Detection Transformer. Shengjian Wu, Li Sun, Qingli Li |
| 2024 | OSIC: A New One-Stage Image Captioner Coined. Bo Wang, Zhao Zhang, Mingbo Zhao, Xiaojie Jin, Mingliang Xu, Meng Wang |
| 2024 | OTOcc: Optimal Transport for Occupancy Prediction. Pengteng Li, Ying He, F. Richard Yu, Pinhao Song, Xingchen Zhou, Guang Zhou |
| 2024 | OUCopula: Bi-Channel Multi-Label Copula-Enhanced Adapter-Based CNN for Myopia Screening Based on OU-UWF Images. Yang Li, Qiuyi Huang, Chong Zhong, Danjuan Yang, Meiyan Li, Alan H. Welsh, Aiyi Liu, Bo Fu, Catherine C. Liu, Xingtao Zhou |
| 2024 | Oasis: Data Curation and Assessment System for Pretraining of Large Language Models. Tong Zhou, Yubo Chen, Pengfei Cao, Kang Liu, Shengping Liu, Jun Zhao |
| 2024 | Off-Agent Trust Region Policy Optimization. Ruiqing Chen, Xiaoyuan Zhang, Yali Du, Yifan Zhong, Zheng Tian, Fanglei Sun, Yaodong Yang |
| 2024 | Offline Policy Learning via Skill-step Abstraction for Long-horizon Goal-Conditioned Tasks. Donghoon Kim, Minjong Yoo, Honguk Woo |
| 2024 | Offline Reinforcement Learning with Behavioral Supervisor Tuning. Padmanaba Srinivasan, William J. Knottenbelt |
| 2024 | On Mitigating the Utility-Loss in Differentially Private Learning: A New Perspective by a Geometrically Inspired Kernel Approach (Abstract Reprint). Mohit Kumar, Bernhard Alois Moser, Lukas Fischer |
| 2024 | On Using Admissible Bounds for Learning Forward Search Heuristics. Carlos Núñez-Molina, Masataro Asai, Pablo Mesejo, Juan Fernández-Olivares |
| 2024 | On the Complexity of Finding Set Repairs for Data-Graphs (Abstract Reprint). Sergio Abriola, Maria Vanina Martinez, Nina Pardal, Santiago Cifuentes, Edwin Pin Baque |
| 2024 | On the Computation of Example-Based Abductive Explanations for Random Forests. Gilles Audemard, Jean-Marie Lagniez, Pierre Marquis, Nicolas Szczepanski |
| 2024 | On the Effects of Fairness to Adversarial Vulnerability. Cuong Tran, Keyu Zhu, Pascal Van Hentenryck, Ferdinando Fioretto |
| 2024 | On the Essence and Prospect: An Investigation of Alignment Approaches for Big Models. Xinpeng Wang, Shitong Duan, Xiaoyuan Yi, Jing Yao, Shanlin Zhou, Zhihua Wei, Peng Zhang, Dongkuan Xu, Maosong Sun, Xing Xie |
| 2024 | On the Logic of Theory Change Iteration of KM-Update, Revised. Liangda Fang, Tong Zhu, Quanlong Guan, Junming Qiu, Zhao-Rong Lai, Weiqi Luo, Hai Wan |
| 2024 | On the Power and Limitations of Examples for Description Logic Concepts. Balder ten Cate, Raoul Koudijs, Ana Ozaki |
| 2024 | On the Pursuit of EFX for Chores: Non-existence and Approximations. Vasilis Christoforidis, Christodoulos Santorinaios |
| 2024 | One-step Spiking Transformer with a Linear Complexity. Xiaotian Song, Andy Song, Rong Xiao, Yanan Sun |
| 2024 | Online Combinatorial Optimization with Group Fairness Constraints. Negin Golrezaei, Rad Niazadeh, Kumar Kshitij Patel, Fransisca Susan |
| 2024 | Online Learning of Capacity-Based Preference Models. Margot Herin, Patrice Perny, Nataliya Sokolovska |
| 2024 | Online Learning of Partitions in Additively Separable Hedonic Games. Saar Cohen, Noa Agmon |
| 2024 | Online Learning with Off-Policy Feedback in Adversarial MDPs. Francesco Bacchiocchi, Francesco Emanuele Stradi, Matteo Papini, Alberto Maria Metelli, Nicola Gatti |
| 2024 | Online Sampling and Decision Making with Low Entropy. Mohammad Taghi Hajiaghayi, Dariusz R. Kowalski, Piotr Krysta, Jan Olkowski |
| 2024 | Online Submodular Maximization via Adaptive Thresholds. Zhengchen Yang, Jiping Zheng |
| 2024 | Optimal Auction Design with User Coupons in Advertising Systems. Xiaodong Liu, Zhikang Fan, Yiming Ding, Yuan Guo, Lihua Zhang, Changcheng Li, Dongying Kong, Han Li, Weiran Shen |
| 2024 | Optimal Extended Formulations from Optimal Dynamic Programming Algorithms. Mateus de Oliveira Oliveira, Wim Van den Broeck |
| 2024 | Optimal Graph Learning and Nuclear Norm Maximization for Deep Cross-Domain Robust Label Propagation. Wei Wang, Hanyang Li, Ke Shi, Chao Huang, Yang Cao, Cong Wang, Xiaochun Cao |
| 2024 | Optimality Guarantees for Particle Belief Approximation of POMDPs (Abstract Reprint). Michael H. Lim, Tyler J. Becker, Mykel J. Kochenderfer, Claire J. Tomlin, Zachary Sunberg |
| 2024 | Optimisation and Approximation in Abstract Argumentation: The Case of Stable Semantics. Matthias Thimm |
| 2024 | Optimization Under Epistemic Uncertainty Using Prediction. Noah Schutte |
| 2024 | Optimizing Prosumer Policies in Periodic Double Auctions Inspired by Equilibrium Analysis. Bharat Manvi, Sanjay Chandlekar, Easwar Subramanian |
| 2024 | Optimizing Viscous Democracy. Ben Armstrong, Shiri Alouf-Heffetz, Nimrod Talmon |
| 2024 | Ordinal Maximin Guarantees for Group Fair Division. Pasin Manurangsi, Warut Suksompong |
| 2024 | P2P: Transforming from Point Supervision to Explicit Visual Prompt for Object Detection and Segmentation. Guangqian Guo, Dian Shao, Chenguang Zhu, Sha Meng, Xuan Wang, Shan Gao |
| 2024 | PACIA: Parameter-Efficient Adapter for Few-Shot Molecular Property Prediction. Shiguang Wu, Yaqing Wang, Quanming Yao |
| 2024 | PDENNEval: A Comprehensive Evaluation of Neural Network Methods for Solving PDEs. Ping Wei, Menghan Liu, Jianhuan Cen, Ziyang Zhou, Liao Chen, Qingsong Zou |
| 2024 | PEACH: Pretrained-Embedding Explanation across Contextual and Hierarchical Structure. Feiqi Cao, Soyeon Caren Han, Hyunsuk Chung |
| 2024 | PHSIC against Random Consistency and Its Application in Causal Inference. Jue Li, Yuhua Qian, Jieting Wang, Saixiong Liu |
| 2024 | POWL: Partially Ordered Workflow Language (Extended Abstract). Humam Kourani, Sebastiaan J. van Zelst |
| 2024 | PPTFormer: Pseudo Multi-Perspective Transformer for UAV Segmentation. Deyi Ji, Wenwei Jin, Hongtao Lu, Feng Zhao |
| 2024 | PRASS: Probabilistic Risk-averse Robust Learning with Stochastic Search. Tianle Zhang, Yanghao Zhang, Ronghui Mu, Jiaxu Liu, Jonathan E. Fieldsend, Wenjie Ruan |
| 2024 | PTDE: Personalized Training with Distilled Execution for Multi-Agent Reinforcement Learning. Yiqun Chen, Hangyu Mao, Jiaxin Mao, Shiguang Wu, Tianle Zhang, Bin Zhang, Wei Yang, Hongxing Chang |
| 2024 | Paintings and Drawings Aesthetics Assessment with Rich Attributes for Various Artistic Categories. Xin Jin, Qianqian Qiao, Yi Lu, Huaye Wang, Shan Gao, Heng Huang, Guangdong Li |
| 2024 | ParaILP: A Parallel Local Search Framework for Integer Linear Programming with Cooperative Evolution Mechanism. Peng Lin, Mengchuan Zou, Zhihan Chen, Shaowei Cai |
| 2024 | Parameter Efficient Instruction Tuning of LLMs for Financial Applications. Subhendu Khatuya |
| 2024 | Parameterized Analysis of Bribery in Challenge the Champ Tournaments. Juhi Chaudhary, Hendrik Molter, Meirav Zehavi |
| 2024 | Parameterized Complexity of Kidney Exchange Revisited. Úrsula Hébert-Johnson, Daniel Lokshtanov, Chinmay Sonar, Vaishali Surianarayanan |
| 2024 | Pareto Inverse Reinforcement Learning for Diverse Expert Policy Generation. Woo Kyung Kim, Minjong Yoo, Honguk Woo |
| 2024 | ParsNets: A Parsimonious Composition of Orthogonal and Low-Rank Linear Networks for Zero-Shot Learning. Jingcai Guo, Qihua Zhou, Xiaocheng Lu, Ruibin Li, Ziming Liu, Jie Zhang, Bo Han, Junyang Chen, Xin Xie, Song Guo |
| 2024 | Partial Optimal Transport Based Out-of-Distribution Detection for Open-Set Semi-Supervised Learning. Yilong Ren, Chuanwen Feng, Xike Xie, S. Kevin Zhou |
| 2024 | Peptide Vaccine Design by Evolutionary Multi-Objective Optimization. Dan-Xuan Liu, Yi-Heng Xu, Chao Qian |
| 2024 | Perception-Inspired Graph Convolution for Music Understanding Tasks. Emmanouil Karystinaios, Francesco Foscarin, Gerhard Widmer |
| 2024 | Performative Ethics From Within the Ivory Tower: How CSPractitioners Uphold Systems of Oppression (Abstract Reprint). Zari McFadden, Lauren Alvarez |
| 2024 | Personalized Federated Learning for Cross-City Traffic Prediction. Yu Zhang, Hua Lu, Ning Liu, Yonghui Xu, Qingzhong Li, Lizhen Cui |
| 2024 | Personalized Heart Disease Detection via ECG Digital Twin Generation. Yaojun Hu, Jintai Chen, Lianting Hu, Dantong Li, Jiahuan Yan, Haochao Ying, Huiying Liang, Jian Wu |
| 2024 | Perturbation Guiding Contrastive Representation Learning for Time Series Anomaly Detection. Liaoyuan Tang, Zheng Wang, Guanxiong He, Rong Wang, Feiping Nie |
| 2024 | Physics-Informed Neural Networks: Minimizing Residual Loss with Wide Networks and Effective Activations. Nima Hosseini Dashtbayaz, Ghazal Farhani, Boyu Wang, Charles X. Ling |
| 2024 | Physics-Informed Trajectory Prediction for Autonomous Driving under Missing Observation. Haicheng Liao, Chengyue Wang, Zhenning Li, Yongkang Li, Bonan Wang, Guofa Li, Chengzhong Xu |
| 2024 | PiShield: A PyTorch Package for Learning with Requirements. Mihaela C. Stoian, Alex Tatomir, Thomas Lukasiewicz, Eleonora Giunchiglia |
| 2024 | Place Anything into Any Video. Ziling Liu, Jinyu Yang, Mingqi Gao, Feng Zheng |
| 2024 | Planning for Temporally Extended Goals in Pure-Past Linear Temporal Logic (Extended Abstract). Luigi Bonassi, Giuseppe De Giacomo, Marco Favorito, Francesco Fuggitti, Alfonso Emilio Gerevini, Enrico Scala |
| 2024 | Plug-and-Play Unsupervised Fault Detection and Diagnosis for Complex Industrial Monitoring. Maksim Golyadkin, Maria Shtark, Petr Ivanov, Alexander Kozhevnikov, Leonid Zhukov, Ilya Makarov |
| 2024 | Pluggable Watermarking of Deepfake Models for Deepfake Detection. Han Bao, Xuhong Zhang, Qinying Wang, Kangming Liang, Zonghui Wang, Shouling Ji, Wenzhi Chen |
| 2024 | PoRank: A Practical Framework for Learning to Rank Policies. Pengjie Gu, Mengchen Zhao, Xu He, Yi Cai, Bo An |
| 2024 | PointTFA: Training-Free Clustering Adaption for Large 3D Point Cloud Models. Jinmeng Wu, Chong Cao, Hao Zhang, Basura Fernando, Yanbin Hao, Hanyu Hong |
| 2024 | Pointsoup: High-Performance and Extremely Low-Decoding-Latency Learned Geometry Codec for Large-Scale Point Cloud Scenes. Kang You, Kai Liu, Li Yu, Pan Gao, Dandan Ding |
| 2024 | Policy Space Response Oracles: A Survey. Ariyan Bighashdel, Yongzhao Wang, Stephen McAleer, Rahul Savani, Frans A. Oliehoek |
| 2024 | Polynomial Time Presolve Algorithms for Rotation-Based Models Solving the Robust Stable Matching Problem. Sulian Le Bozec-Chiffoleau, Charles Prud'homme, Gilles Simonin |
| 2024 | Popular and Dominant Matchings with Uncertain and Multimodal Preferences. Gergely Csáji |
| 2024 | Population-Based Diverse Exploration for Sparse-Reward Multi-Agent Tasks. Pei Xu, Junge Zhang, Kaiqi Huang |
| 2024 | Position Debiasing Fine-Tuning for Causal Perception in Long-Term Dialogue. Shixuan Fan, Wei Wei, Wendi Li, Xian-Ling Mao, Wenfeng Xie, Dangyang Chen |
| 2024 | Practical Anytime Algorithms for Judicious Partitioning of Active Directory Attack Graphs. Yumeng Zhang, Max Ward, Hung Nguyen |
| 2024 | Practical Hybrid Gradient Compression for Federated Learning Systems. Sixu Hu, Linshan Jiang, Bingsheng He |
| 2024 | Pre-DyGAE: Pre-training Enhanced Dynamic Graph Autoencoder for Occupational Skill Demand Forecasting. Xi Chen, Chuan Qin, Zhigaoyuan Wang, Yihang Cheng, Chao Wang, Hengshu Zhu, Hui Xiong |
| 2024 | Pre-training General User Representation with Multi-type APP Behaviors. Yuren Zhang, Min Hou, Kai Zhang, Yuqing Yuan, Chao Song, Zhihao Ye, Enhong Chen, Yang Yu |
| 2024 | Predicting Carpark Availability in Singapore with Cross-Domain Data: A New Dataset and A Data-Driven Approach. Huaiwu Zhang, Yutong Xia, Siru Zhong, Kun Wang, Zekun Tong, Qingsong Wen, Roger Zimmermann, Yuxuan Liang |
| 2024 | Predicting Housing Transaction with Common Covariance GNNs. Jinjin Li, Bin Liu, Chengyan Liu, Hongli Zhang |
| 2024 | Predictive Accuracy-Based Active Learning for Medical Image Segmentation. Jun Shi, Shulan Ruan, Ziqi Zhu, Minfan Zhao, Hong An, Xudong Xue, Bing Yan |
| 2024 | Predictive Modeling with Temporal Graphical Representation on Electronic Health Records. Jiayuan Chen, Changchang Yin, Yuanlong Wang, Ping Zhang |
| 2024 | Preferred Reasoning in ABA by Cycle-Breaking. Nguyen Anh Kiet, Markus Ulbricht |
| 2024 | Primal Grammars Driven Automated Induction. Adel Bouhoula, Miki Hermann |
| 2024 | PrivSGP-VR: Differentially Private Variance-Reduced Stochastic Gradient Push with Tight Utility Bounds. Zehan Zhu, Yan Huang, Xin Wang, Jinming Xu |
| 2024 | Privacy-Preserving UCB Decision Process Verification via zk-SNARKs. Xikun Jiang, He Lyu, Chenhao Ying, Yibin Xu, Boris Düdder, Yuan Luo |
| 2024 | ProMoAI: Process Modeling with Generative AI. Humam Kourani, Alessandro Berti, Daniel Schuster, Wil M. P. van der Aalst |
| 2024 | Probabilistic Contrastive Learning for Domain Adaptation. Junjie Li, Yixin Zhang, Zilei Wang, Saihui Hou, Keyu Tu, Man Zhang |
| 2024 | Probabilistic Feature Matching for Fast Scalable Visual Prompting. Thomas Frick, Cezary Skura, Filip Janicki, Roy Assaf, Niccolò Avogaro, Daniel Caraballo, Yagmur Gizem Cinar, Brown Ebouky, Ioana Giurgiu, Takayuki Katsuki, Piotr Kluska, Cristiano Malossi, Haoxiang Qiu, Tomoya Sakai, Florian Scheidegger, Andrej Simeski, Daniel Yang, Andrea Bartezzaghi, Mattia Rigotti |
| 2024 | Probabilistically Robust Watermarking of Neural Networks. Mikhail Pautov, Nikita Bogdanov, Stanislav Pyatkin, Oleg Rogov, Ivan V. Oseledets |
| 2024 | Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, IJCAI 2024, Jeju, South Korea, August 3-9, 2024 |
| 2024 | Prompt Learning for Generalized Vehicle Routing. Fei Liu, Xi Lin, Weiduo Liao, Zhenkun Wang, Qingfu Zhang, Xialiang Tong, Mingxuan Yuan |
| 2024 | Prompt Learning with Extended Kalman Filter for Pre-trained Language Models. Quan Li, Xike Xie, Chao Wang, S. Kevin Zhou |
| 2024 | Prompt-enhanced Network for Hateful Meme Classification. Junxi Liu, Yanyan Feng, Jiehai Chen, Yun Xue, Fenghuan Li |
| 2024 | Proof Logging for Smart Extensional Constraints (Extended Abstract). Matthew J. McIlree, Ciaran McCreesh |
| 2024 | Proportion-based Sensitivity Analysis of Uncontrolled Confounding Bias in Causal Inference. Haruka Yoshida, Manabu Kuroki |
| 2024 | Protecting Object Detection Models from Model Extraction Attack via Feature Space Coverage. Zeyu Li, Yuwen Pu, Xuhong Zhang, Yu Li, Jinbao Li, Shouling Ji |
| 2024 | Protecting Split Learning by Potential Energy Loss. Fei Zheng, Chaochao Chen, Lingjuan Lyu, Xinyi Fu, Xing Fu, Weiqiang Wang, Xiaolin Zheng, Jianwei Yin |
| 2024 | ProtoPFormer: Concentrating on Prototypical Parts in Vision Transformers for Interpretable Image Recognition. Mengqi Xue, Qihan Huang, Haofei Zhang, Jingwen Hu, Jie Song, Mingli Song, Canghong Jin |
| 2024 | Provable Acceleration of Nesterov's Accelerated Gradient Method over Heavy Ball Method in Training Over-Parameterized Neural Networks. Xin Liu, Wei Tao, Wei Li, Dazhi Zhan, Jun Wang, Zhisong Pan |
| 2024 | Proximal Curriculum with Task Correlations for Deep Reinforcement Learning. Georgios Tzannetos, Parameswaran Kamalaruban, Adish Singla |
| 2024 | Public Event Scheduling with Busy Agents. Bo Li, Lijun Li, Minming Li, Ruilong Zhang |
| 2024 | Purpose Enhanced Reasoning through Iterative Prompting: Uncover Latent Robustness of ChatGPT on Code Comprehension. Yi Wang, Qidong Zhao, Dongkuan Xu, Xu Liu |
| 2024 | Putting Back the Stops: Integrating Syntax with Neural Topic Models. Mayank Nagda, Sophie Fellenz |
| 2024 | PyClause - Simple and Efficient Rule Handling for Knowledge Graphs. Patrick Betz, Luis Galárraga, Simon Ott, Christian Meilicke, Fabian M. Suchanek, Heiner Stuckenschmidt |
| 2024 | PyXAI: An XAI Library for Tree-Based Models. Gilles Audemard, Jean-Marie Lagniez, Pierre Marquis, Nicolas Szczepanski |
| 2024 | QFormer: An Efficient Quaternion Transformer for Image Denoising. Bo Jiang, Yao Lu, Guangming Lu, Bob Zhang |
| 2024 | Quality-Diversity Algorithms Can Provably Be Helpful for Optimization. Chao Qian, Ke Xue, Ren-Jian Wang |
| 2024 | Quantitative Claim-Centric Reasoning in Logic-Based Argumentation. Markus Hecher, Yasir Mahmood, Arne Meier, Johannes Schmidt |
| 2024 | Quantitative Reasoning over Incomplete Abstract Argumentation Frameworks. Bettina Fazzinga, Sergio Flesca, Filippo Furfaro, Giuseppina Monterosso |
| 2024 | R2V-MIF: Rule-to-Vector Contrastive Learning and Multi-channel Information Fusion for Therapy Recommendation. Nengjun Zhu, Jieyun Huang, Jian Cao, Liang Hu, Zixuan Yuan, Huanjing Gao |
| 2024 | REAVER: Real-time Earthquake Prediction with Attention-based Sliding-Window Spectrograms. Lotfy H. Abdel Khaliq, Sabine Janzen, Wolfgang Maass |
| 2024 | RLOP: A Framework for Reinforcement Learning, Optimization and Planning Algorithms. Song Zhang |
| 2024 | ROCES: Robust Class Expression Synthesis in Description Logics via Iterative Sampling. N'Dah Jean Kouagou, Stefan Heindorf, Caglar Demir, Axel-Cyrille Ngonga Ngomo |
| 2024 | ROME: Robust Multi-Modal Density Estimator. Anna Mészáros, Julian F. Schumann, Javier Alonso-Mora, Arkady Zgonnikov, Jens Kober |
| 2024 | RSAP-DFM: Regime-Shifting Adaptive Posterior Dynamic Factor Model for Stock Returns Prediction. Quanzhou Xiang, Zhan Chen, Qi Sun, Rujun Jiang |
| 2024 | Randomized Learning-Augmented Auctions with Revenue Guarantees. Ioannis Caragiannis, Georgios Kalantzis |
| 2024 | Rank and Align: Towards Effective Source-free Graph Domain Adaptation. Junyu Luo, Zhiping Xiao, Yifan Wang, Xiao Luo, Jingyang Yuan, Wei Ju, Langechuan Liu, Ming Zhang |
| 2024 | Re-creation of Creations: A New Paradigm for Lyric-to-Melody Generation. Ang Lv, Xu Tan, Tao Qin, Tie-Yan Liu, Rui Yan |
| 2024 | Re: Draw - Context Aware Translation as a Controllable Method for Artistic Production. João Libório Cardoso, Francesco Banterle, Paolo Cignoni, Michael Wimmer |
| 2024 | ReBandit: Random Effects Based Online RL Algorithm for Reducing Cannabis Use. Susobhan Ghosh, Yongyi Guo, Pei-Yao Hung, Lara N. Coughlin, Erin E. Bonar, Inbal Nahum-Shani, Maureen A. Walton, Susan A. Murphy |
| 2024 | Real-World Networks Are Low-Dimensional: Theoretical and Practical Assessment. Tobias Friedrich, Andreas Göbel, Maximilian Katzmann, Leon Schiller |
| 2024 | Real-time Multi-modal Object Detection and Tracking on Edge for Regulatory Compliance Monitoring. Jia Syuen Lim, Ziwei Wang, Jiajun Liu, Abdelwahed Khamis, Reza Arablouei, Robert Barlow, Ryan McAllister |
| 2024 | RealDex: Towards Human-like Grasping for Robotic Dexterous Hand. Yumeng Liu, Yaxun Yang, Youzhuo Wang, Xiaofei Wu, Jiamin Wang, Yichen Yao, Sören Schwertfeger, Sibei Yang, Wenping Wang, Jingyi Yu, Xuming He, Yuexin Ma |
| 2024 | Reassessing Evaluation Functions in Algorithmic Recourse: An Empirical Study from a Human-Centered Perspective. Tomu Tominaga, Naomi Yamashita, Takeshi Kurashima |
| 2024 | Recall, Retrieve and Reason: Towards Better In-Context Relation Extraction. Guozheng Li, Peng Wang, Wenjun Ke, Yikai Guo, Ke Ji, Ziyu Shang, Jiajun Liu, Zijie Xu |
| 2024 | Recent Advances in End-to-End Simultaneous Speech Translation. Xiaoqian Liu, Guoqiang Hu, Yangfan Du, Erfeng He, Yingfeng Luo, Chen Xu, Tong Xiao, Jingbo Zhu |
| 2024 | Recent Advances in Predictive Modeling with Electronic Health Records. Jiaqi Wang, Junyu Luo, Muchao Ye, Xiaochen Wang, Yuan Zhong, Aofei Chang, Guanjie Huang, Ziyi Yin, Cao Xiao, Jimeng Sun, Fenglong Ma |
| 2024 | Reconfigurability-Aware Selection for Contrastive Active Domain Adaptation. Zeyu Zhang, Chun Shen, Shuai Lü, Shaojie Zhang |
| 2024 | Reconstructing Missing Variables for Multivariate Time Series Forecasting via Conditional Generative Flows. Xuanming Hu, Wei Fan, Haifeng Chen, Pengyang Wang, Yanjie Fu |
| 2024 | Reconstruction Weighting Principal Component Analysis with Fusion Contrastive Learning. Qianqian Wang, Meiling Liu, Wei Feng, Mengping Jiang, Haiming Xu, Quanxue Gao |
| 2024 | Recurrent Concept Drifts on Data Streams. Nuwan Gunasekara, Bernhard Pfahringer, Heitor Murilo Gomes, Albert Bifet, Yun Sing Koh |
| 2024 | Redefining Contributions: Shapley-Driven Federated Learning. Nurbek Tastan, Samar Fares, Toluwani Aremu, Samuel Horváth, Karthik Nandakumar |
| 2024 | Reframing Spatial Reasoning Evaluation in Language Models: A Real-World Simulation Benchmark for Qualitative Reasoning. Fangjun Li, David C. Hogg, Anthony G. Cohn |
| 2024 | Regression Residual Reasoning with Pseudo-labeled Contrastive Learning for Uncovering Multiple Complex Compositional Relations. Chengtai Li, Yuting He, Jianfeng Ren, Ruibin Bai, Yitian Zhao, Heng Yu, Xudong Jiang |
| 2024 | ReinforceNS: Reinforcement Learning-based Multi-start Neighborhood Search for Solving the Traveling Thief Problem. Tao Wu, Huachao Cui, Tao Guan, Yuesong Wang, Yan Jin |
| 2024 | Reinforcement Learning for Athletic Intelligence: Lessons from the 1st "AI Olympics with RealAIGym" Competition. Felix Wiebe, Niccolò Turcato, Alberto Dalla Libera, Chi Zhang, Théo Vincent, Shubham Vyas, Giulio Giacomuzzo, Ruggero Carli, Diego Romeres, Akhil Sathuluri, Markus Zimmermann, Boris Belousov, Jan Peters, Frank Kirchner, Shivesh Kumar |
| 2024 | Reinforcement Learning from Diverse Human Preferences. Wanqi Xue, Bo An, Shuicheng Yan, Zhongwen Xu |
| 2024 | Reinforcement Nash Equilibrium Solver. Xinrun Wang, Chang Yang, Shuxin Li, Pengdeng Li, Xiao Huang, Hau Chan, Bo An |
| 2024 | Relevant Irrelevance: Generating Alterfactual Explanations for Image Classifiers. Silvan Mertes, Tobias Huber, Christina Karle, Katharina Weitz, Ruben Schlagowski, Cristina Conati, Elisabeth André |
| 2024 | ReliaAvatar: A Robust Real-Time Avatar Animator with Integrated Motion Prediction. Bo Qian, Zhenhuan Wei, Jiashuo Li, Xing Wei |
| 2024 | Remote Sensing for Water Quality: A Multi-Task, Metadata-Driven Hypernetwork Approach. Olivier Graffeuille, Yun Sing Koh, Jörg Wicker, Moritz K. Lehmann |
| 2024 | ReportParse: A Unified NLP Tool for Extracting Document Structure and Semantics of Corporate Sustainability Reporting. Gaku Morio, Soh Young In, Jungah Yoon, Harri Rowlands, Christopher D. Manning |
| 2024 | Reschedule Diffusion-based Bokeh Rendering. Shiyue Yan, Xiaoshi Qiu, Qingmin Liao, Jing-Hao Xue, Shaojun Liu |
| 2024 | Resolving Word Vagueness with Scenario-guided Adapter for Natural Language Inference. Yonghao Liu, Mengyu Li, Di Liang, Ximing Li, Fausto Giunchiglia, Lan Huang, Xiaoyue Feng, Renchu Guan |
| 2024 | Rethinking Centered Kernel Alignment in Knowledge Distillation. Zikai Zhou, Yunhang Shen, Shitong Shao, Linrui Gong, Shaohui Lin |
| 2024 | Rethinking Correlation Learning via Label Prior for Open Set Domain Adaptation. Zixian Huang, Chuan-Xian Ren |
| 2024 | Rethinking the Effectiveness of Graph Classification Datasets in Benchmarks for Assessing GNNs. Zhengdao Li, Yong Cao, Kefan Shuai, Yiming Miao, Kai Hwang |
| 2024 | Rethinking the Soft Conflict Pseudo Boolean Constraint on MaxSAT Local Search Solvers. Jiongzhi Zheng, Zhuo Chen, Chu-Min Li, Kun He |
| 2024 | Retrieval Guided Music Captioning via Multimodal Prefixes. Nikita Srivatsan, Ke Chen, Shlomo Dubnov, Taylor Berg-Kirkpatrick |
| 2024 | Revealing Hierarchical Structure of Leaf Venations in Plant Science via Label-Efficient Segmentation: Dataset and Method. Weizhen Liu, Ao Li, Ze Wu, Yue Li, Baobin Ge, Guangyu Lan, Shilin Chen, Minghe Li, Yunfei Liu, Xiaohui Yuan, Nanqing Dong |
| 2024 | Revealing the Two Sides of Data Augmentation: An Asymmetric Distillation-based Win-Win Solution for Open-Set Recognition. Yunbing Jia, Xiaoyu Kong, Fan Tang, Yixing Gao, Weiming Dong, Yi Yang |
| 2024 | Revising Beliefs and Intentions in Stochastic Environments. Nima Motamed, Natasha Alechina, Mehdi Dastani, Dragan Doder |
| 2024 | Revisiting Causal Discovery from a Complexity-Theoretic Perspective. Robert Ganian, Viktoriia Korchemna, Stefan Szeider |
| 2024 | Revisiting Neural Networks for Continual Learning: An Architectural Perspective. Aojun Lu, Tao Feng, Hangjie Yuan, Xiaotian Song, Yanan Sun |
| 2024 | Revitalizing Real Image Deraining via a Generic Paradigm towards Multiple Rainy Patterns. Xin Li, Yuxin Feng, Fan Zhou, Yun Liang, Zhuo Su |
| 2024 | Rhythm Inference Helping Writing Music Scores. François Schwarzentruber |
| 2024 | RisQNet: Rescuing SMEs from Financial Shocks with a Novel Networked-Loan Risk Assessment. Zhaoyuan Lu, Taijun Li, Jingzhen Zhang, Moyang Liu, Xiang Li, Linyi Cui, Junqi Chen, Zhibin Niu |
| 2024 | RoboFusion: Towards Robust Multi-Modal 3D Object Detection via SAM. Ziying Song, Guoxing Zhang, Lin Liu, Lei Yang, Shaoqing Xu, Caiyan Jia, Feiyang Jia, Li Wang |
| 2024 | Robust Contrastive Multi-view Kernel Clustering. Peng Su, Yixi Liu, Shujian Li, Shudong Huang, Jiancheng Lv |
| 2024 | Robust Counterfactual Explanations in Machine Learning: A Survey. Junqi Jiang, Francesco Leofante, Antonio Rago, Francesca Toni |
| 2024 | Robust Heterophilic Graph Learning against Label Noise for Anomaly Detection. Junhang Wu, Ruimin Hu, Dengshi Li, Zijun Huang, Lingfei Ren, Yilong Zang |
| 2024 | Robust Losses for Decision-Focused Learning. Noah Schutte, Krzysztof Postek, Neil Yorke-Smith |
| 2024 | Robust Reward Placement under Uncertainty. Petros Petsinis, Kaichen Zhang, Andreas Pavlogiannis, Jingbo Zhou, Panagiotis Karras |
| 2024 | SACNN: Self Attention-based Convolutional Neural Network for Fraudulent Behaviour Detection in Sports. Maxx Richard Rahman, Lotfy H. Abdel Khaliq, Thomas Piper, Hans Geyer, Tristan Equey, Norbert Baume, Reid Aikin, Wolfgang Maass |
| 2024 | SAEIR: Sequentially Accumulated Entropy Intrinsic Reward for Cooperative Multi-Agent Reinforcement Learning with Sparse Reward. Xin He, Hongwei Ge, Yaqing Hou, Jincheng Yu |
| 2024 | SCAT: A Time Series Forecasting with Spectral Central Alternating Transformers. Chengjie Zhou, Chao Che, Pengfei Wang, Qiang Zhang |
| 2024 | SCTrans: Multi-scale scRNA-seq Sub-vector Completion Transformer for Gene-selective Cell Type Annotation. Lu Lin, Wen Xue, Xindian Wei, Wenjun Shen, Cheng Liu, Si Wu, Hau-San Wong |
| 2024 | SDformer: Transformer with Spectral Filter and Dynamic Attention for Multivariate Time Series Long-term Forecasting. Ziyu Zhou, Gengyu Lyu, Yiming Huang, Zihao Wang, Ziyu Jia, Zhen Yang |
| 2024 | SEMANTIFY: Unveiling Memes with Robust Interpretability beyond Input Attribution. Dibyanayan Bandyopadhyay, Asmit Ganguly, Baban Gain, Asif Ekbal |
| 2024 | SEMv3: A Fast and Robust Approach to Table Separation Line Detection. Chunxia Qin, Zhenrong Zhang, Pengfei Hu, Chenyu Liu, Jiefeng Ma, Jun Du |
| 2024 | SGDCL: Semantic-Guided Dynamic Correlation Learning for Explainable Autonomous Driving. Chengtai Cao, Xinhong Chen, Jianping Wang, Qun Song, Rui Tan, Yung-Hui Li |
| 2024 | SPARK: Harnessing Human-Centered Workflows with Biomedical Foundation Models for Drug Discovery. Bum Chul Kwon, Simona Rabinovici-Cohen, Beldine Moturi, Ruth Mwaura, Kezia Wahome, Oliver Njeru, Miguel Shinyenyi, Catherine Wanjiru, Sekou L. Remy, William Ogallo, Itai Guez, Parthasarathy Suryanarayanan, Joseph A. Morrone, Shreyans Sethi, Seung-gu Kang, Tien Huynh, Kenney Ng, Diwakar Mahajan, Hongyang Li, Matan Ninio, Shervin Ayati, Efrat Hexter, Wendy D. Cornell |
| 2024 | SPGNet: A Shape-prior Guided Network for Medical Image Segmentation. Zhengxuan Song, Xun Liu, Wenhao Zhang, Yongyi Gong, Tianyong Hao, Kun Zeng |
| 2024 | STAR: Spatio-Temporal State Compression for Multi-Agent Tasks with Rich Observations. Chao Li, Yujing Hu, Shangdong Yang, Tangjie Lv, Changjie Fan, Wenbin Li, Chongjie Zhang, Yang Gao |
| 2024 | SUKHSANDESH: An Avatar Therapeutic Question Answering Platform for Sexual Education in Rural India. Salam Michael Singh, Shubhmoy Kumar Garg, Amitesh Misra, Aaditeshwar Seth, Tanmoy Chakraborty |
| 2024 | SVD-AE: Simple Autoencoders for Collaborative Filtering. Seoyoung Hong, Jeongwhan Choi, Yeon-Chang Lee, Srijan Kumar, Noseong Park |
| 2024 | SaGol: Using MiniGPT-4 to Generate Alt Text for Improving Image Accessibility. Yunseo Moon, Hyunmin Lee, Seung Young Oh, Hyunggu Jung |
| 2024 | SaSDim: Self-Adaptive Noise Scaling Diffusion Model for Spatial Time Series Imputation. Shunyang Zhang, Senzhang Wang, Xianzhen Tan, Renzhi Wang, Ruochen Liu, Jian Zhang, Jianxin Wang |
| 2024 | Safeguarding Fraud Detection from Attacks: A Robust Graph Learning Approach. Jiasheng Wu, Xin Liu, Dawei Cheng, Yi Ouyang, Xian Wu, Yefeng Zheng |
| 2024 | Safeguarding Sustainable Cities: Unsupervised Video Anomaly Detection through Diffusion-based Latent Pattern Learning. Menghao Zhang, Jingyu Wang, Qi Qi, Pengfei Ren, Haifeng Sun, Zirui Zhuang, Lei Zhang, Jianxin Liao |
| 2024 | Safety Constrained Multi-Agent Reinforcement Learning for Active Voltage Control. Yang Qu, Jinming Ma, Feng Wu |
| 2024 | Safety of Multimodal Large Language Models on Images and Text. Xin Liu, Yichen Zhu, Yunshi Lan, Chao Yang, Yu Qiao |
| 2024 | Sample Quality Heterogeneity-aware Federated Causal Discovery through Adaptive Variable Space Selection. Xianjie Guo, Kui Yu, Hao Wang, Lizhen Cui, Han Yu, Xiaoxiao Li |
| 2024 | Sampling Winners in Ranked Choice Voting. Matthew Iceland, Anson Kahng, Joseph Saber |
| 2024 | Scalable Federated Unlearning via Isolated and Coded Sharding. Yijing Lin, Zhipeng Gao, Hongyang Du, Dusit Niyato, Gui Gui, Shuguang Cui, Jinke Ren |
| 2024 | Scalable Landmark Hub Labeling for Optimal and Bounded Suboptimal Pathfinding. Sabine Storandt |
| 2024 | Scalable Mechanism Design for Multi-Agent Path Finding. Paul Friedrich, Yulun Zhang, Michael J. Curry, Ludwig Dierks, Stephen McAleer, Jiaoyang Li, Tuomas Sandholm, Sven Seuken |
| 2024 | Scalable Ultrafast Almost-optimal Euclidean Shortest Paths. Stefan Funke, Daniel Koch, Claudius Proissl, Axel Schneewind, Armin Weiß, Felix Weitbrecht |
| 2024 | Scale and Direction Guided GAN for Inertial Sensor Signal Enhancement. Yifeng Wang, Yi Zhao |
| 2024 | Scaling Up Unbiased Search-based Symbolic Regression. Paul Kahlmeyer, Joachim Giesen, Michael Habeck, Henrik Voigt |
| 2024 | Scene-Adaptive Person Search via Bilateral Modulations. Yimin Jiang, Huibing Wang, Jinjia Peng, Xianping Fu, Yang Wang |
| 2024 | SceneDiff: Generative Scene-Level Image Retrieval with Text and Sketch Using Diffusion Models. Ran Zuo, Haoxiang Hu, Xiaoming Deng, Cangjun Gao, Zhengming Zhang, Yu-Kun Lai, Cuixia Ma, Yong-Jin Liu, Hongan Wang |
| 2024 | Score-CDM: Score-Weighted Convolutional Diffusion Model for Multivariate Time Series Imputation. Shunyang Zhang, Senzhang Wang, Hao Miao, Hao Chen, Changjun Fan, Jian Zhang |
| 2024 | ScreenAI: A Vision-Language Model for UI and Infographics Understanding. Gilles Baechler, Srinivas Sunkara, Maria Wang, Fedir Zubach, Hassan Mansoor, Vincent Etter, Victor Carbune, Jason Lin, Jindong Chen, Abhanshu Sharma |
| 2024 | ScreenAgent: A Vision Language Model-driven Computer Control Agent. Runliang Niu, Jindong Li, Shiqi Wang, Yali Fu, Xiyu Hu, Xueyuan Leng, He Kong, Yi Chang, Qi Wang |
| 2024 | Searching for Programmatic Policies in Semantic Spaces. Rubens O. Moraes, Levi H. S. Lelis |
| 2024 | SeeDRec: Sememe-based Diffusion for Sequential Recommendation. Haokai Ma, Ruobing Xie, Lei Meng, Yimeng Yang, Xingwu Sun, Zhanhui Kang |
| 2024 | Seed Selection in the Heterogeneous Moran Process. Petros Petsinis, Andreas Pavlogiannis, Josef Tkadlec, Panagiotis Karras |
| 2024 | Selecting the Most Conflicting Pair of Candidates. Théo Delemazure, Lukasz Janeczko, Andrzej Kaczmarczyk, Stanislaw Szufa |
| 2024 | Selective Learning for Sample-Efficient Training in Multi-Agent Sparse Reward Tasks (Extended Abstract). Xinning Chen, Xuan Liu, Yanwen Ba, Shigeng Zhang, Bo Ding, Kenli Li |
| 2024 | Self-Promoted Clustering-based Contrastive Learning for Brain Networks Pretraining. Junbo Ma, Caixuan Luo, Jia Hou, Kai Zhao |
| 2024 | Self-Repellent Random Walks on General Graphs - Achieving Minimal Sampling Variance via Nonlinear Markov Chains (Extended Abstract). Vishwaraj Doshi, Jie Hu, Do Young Eun |
| 2024 | Self-Supervised Learning for Enhancing Spatial Awareness in Free-Hand Sketches. Xin Wang, Tengjie Li, Sicong Zang, Shikui Tu, Lei Xu |
| 2024 | Self-Supervised Monocular Depth Estimation in the Dark: Towards Data Distribution Compensation. Haolin Yang, Chaoqiang Zhao, Lu Sheng, Yang Tang |
| 2024 | Self-Supervised Pre-training with Symmetric Superimposition Modeling for Scene Text Recognition. Zuan Gao, Yuxin Wang, Yadong Qu, Boqiang Zhang, Zixiao Wang, Jianjun Xu, Hongtao Xie |
| 2024 | Self-Supervised Vision for Climate Downscaling. Karandeep Singh, Chaeyoon Jeong, Naufal Shidqi, Sungwon Park, Arjun Nellikkattil, Elke Zeller, Meeyoung Cha |
| 2024 | Self-adaptive Extreme Penalized Loss for Imbalanced Time Series Prediction. Yiyang Wang, Yuchen Han, Yuhan Guo |
| 2024 | Self-adaptive PSRO: Towards an Automatic Population-based Game Solver. Pengdeng Li, Shuxin Li, Chang Yang, Xinrun Wang, Xiao Huang, Hau Chan, Bo An |
| 2024 | Self-supervised Weighted Information Bottleneck for Multi-view Clustering. Zhengzheng Lou, Chaoyang Zhang, Hang Xue, Yangdong Ye, Qinglei Zhou, Shizhe Hu |
| 2024 | SemanticMask: A Contrastive View Design for Anomaly Detection in Tabular Data. Shuting Tao, Tongtian Zhu, Hongwei Wang, Xiangming Meng |
| 2024 | Semantics for Non-Flat Assumption-Based Argumentation, Revisited. Jesse Heyninck, Ofer Arieli |
| 2024 | SensorSCAN: Self-supervised learning and deep clustering for fault diagnosis in chemical processes (Abstract Reprint). Maksim Golyadkin, Vitaliy Pozdnyakov, Leonid Zhukov, Ilya Makarov |
| 2024 | Sentence-Level or Token-Level? A Comprehensive Study on Knowledge Distillation. Jingxuan Wei, Linzhuang Sun, Yichong Leng, Xu Tan, Bihui Yu, Ruifeng Guo |
| 2024 | Separate in the Speech Chain: Cross-Modal Conditional Audio-Visual Target Speech Extraction. Zhaoxi Mu, Xinyu Yang |
| 2024 | Shadow-Free Membership Inference Attacks: Recommender Systems Are More Vulnerable Than You Thought. Xiaoxiao Chi, Xuyun Zhang, Yan Wang, Lianyong Qi, Amin Beheshti, Xiaolong Xu, Kim-Kwang Raymond Choo, Shuo Wang, Hongsheng Hu |
| 2024 | Shap-Mix: Shapley Value Guided Mixing for Long-Tailed Skeleton Based Action Recognition. Jiahang Zhang, Lilang Lin, Jiaying Liu |
| 2024 | Simple Contrastive Multi-View Clustering with Data-Level Fusion. Caixuan Luo, Jie Xu, Yazhou Ren, Junbo Ma, Xiaofeng Zhu |
| 2024 | SketchEdit: Editing Freehand Sketches at the Stroke-Level. Tengjie Li, Shikui Tu, Lei Xu |
| 2024 | Skip-Timeformer: Skip-Time Interaction Transformer for Long Sequence Time-Series Forecasting. Wenchang Zhang, Hua Wang, Fan Zhang |
| 2024 | SmartTransit.AI: A Dynamic Paratransit and Microtransit Application. Sophie Pavia, David Rogers, Amutheezan Sivagnanam, Michael Wilbur, Danushka Edirimanna, Youngseo Kim, Ayan Mukhopadhyay, Philip Pugliese, Samitha Samaranayake, Aron Laszka, Abhishek Dubey |
| 2024 | Social Learning through Interactions with Other Agents: A Survey. Dylan Hillier, Cheston Tan, Jing Jiang |
| 2024 | Solving Long-run Average Reward Robust MDPs via Stochastic Games. Krishnendu Chatterjee, Ehsan Kafshdar Goharshady, Mehrdad Karrabi, Petr Novotný, Dorde Zikelic |
| 2024 | Solving Quantified Boolean Formulas with Few Existential Variables. Leif Eriksson, Victor Lagerkvist, Sebastian Ordyniak, George Osipov, Fahad Panolan, Mateusz Rychlicki |
| 2024 | Span-based Unified Named Entity Recognition Framework via Contrastive Learning. Hongli Mao, Xian-Ling Mao, Hanlin Tang, Yu-Ming Shang, Xiaoyan Gao, Ao-Jie Ma, Heyan Huang |
| 2024 | Sparse Multi-Relational Graph Convolutional Network for Multi-type Object Trajectory Prediction. Jianhui Zhang, Jun Yao, Liqi Yan, Yanhong Xu, Zheng Wang |
| 2024 | Spatial-Temporal Perceiving: Deciphering User Hierarchical Intent in Session-Based Recommendation. Xiao Wang, Tingting Dai, Qiao Liu, Shuang Liang |
| 2024 | Spatial-Temporal-Decoupled Masked Pre-training for Spatiotemporal Forecasting. Haotian Gao, Renhe Jiang, Zheng Dong, Jinliang Deng, Yuxin Ma, Xuan Song |
| 2024 | Spatio-Temporal Field Neural Networks for Air Quality Inference. Yutong Feng, Qiongyan Wang, Yutong Xia, Junlin Huang, Siru Zhong, Yuxuan Liang |
| 2024 | Spear: Evaluate the Adversarial Robustness of Compressed Neural Models. Chong Yu, Tao Chen, Zhongxue Gan, Jiayuan Fan |
| 2024 | SpecAR-Net: Spectrogram Analysis and Representation Network for Time Series. Yi Dong, Liwen Zhang, Youcheng Zhang, Shi Peng, Wen Chen, Zhe Ma |
| 2024 | Speech-Forensics: Towards Comprehensive Synthetic Speech Dataset Establishment and Analysis. Zhoulin Ji, Chenhao Lin, Hang Wang, Chao Shen |
| 2024 | Stakeholder-oriented Decision Support for Auction-based Federated Learning. Xiaoli Tang |
| 2024 | Stochastic Neural Simulator for Generalizing Dynamical Systems across Environments. Jiaqi Liu, Jiaxu Cui, Jiayi Yang, Bo Yang |
| 2024 | Strategic Aspects of Stable Matching Markets: A Survey. Hadi Hosseini, Shraddha Pathak |
| 2024 | Streamflow Prediction with Uncertainty Quantification for Water Management: A Constrained Reasoning and Learning Approach. Mohammed Amine Gharsallaoui, Bhupinderjeet Singh, Supriya Savalkar, Aryan Deshwal, Ananth Kalyanaraman, Kirti Rajagopalan, Janardhan Rao Doppa |
| 2024 | Streamlining Input/Output Logics with Sequent Calculi (Extended Abstract). Agata Ciabattoni, Dmitry Rozplokhas |
| 2024 | Strengthening Layer Interaction via Dynamic Layer Attention. Kaishen Wang, Xun Xia, Jian Liu, Zhang Yi, Tao He |
| 2024 | Structure-Aware Spatial-Temporal Interaction Network for Video Shadow Detection. Housheng Wei, Guanyu Xing, Jingwei Liao, Yanci Zhang, Yanli Liu |
| 2024 | Structure-Preserving Physics-Informed Neural Networks with Energy or Lyapunov Structure. Haoyu Chu, Yuto Miyatake, Wenjun Cui, Shikui Wei, Daisuke Furihata |
| 2024 | Structured d-DNNF Is Not Closed under Negation. Harry Vinall-Smeeth |
| 2024 | Sub-Adjacent Transformer: Improving Time Series Anomaly Detection with Reconstruction Error from Sub-Adjacent Neighborhoods. Wenzhen Yue, Xianghua Ying, Ruohao Guo, Dongdong Chen, Ji Shi, Bowei Xing, Yuqing Zhu, Taiyan Chen |
| 2024 | Subgraph Pooling: Tackling Negative Transfer on Graphs. Zehong Wang, Zheyuan Zhang, Chuxu Zhang, Yanfang Ye |
| 2024 | Supervised Algorithmic Fairness in Distribution Shifts: A Survey. Minglai Shao, Dong Li, Chen Zhao, Xintao Wu, Yujie Lin, Qin Tian |
| 2024 | SwiftThief: Enhancing Query Efficiency of Model Stealing by Contrastive Learning. Jeonghyun Lee, Sungmin Han, Sangkyun Lee |
| 2024 | Symplectic Neural Gaussian Processes for Meta-learning Hamiltonian Dynamics. Tomoharu Iwata, Yusuke Tanaka |
| 2024 | Synthesizing Programmatic Policy for Generalization within Task Domain. Tianyi Wu, Liwei Shen, Zhen Dong, Xin Peng, Wenyun Zhao |
| 2024 | TAI++: Text as Image for Multi-Label Image Classification by Co-Learning Transferable Prompt. Xiangyu Wu, Qing-Yuan Jiang, Yang Yang, Yi-Feng Wu, Qing-Guo Chen, Jianfeng Lu |
| 2024 | TFCD: Towards Multi-modal Sarcasm Detection via Training-Free Counterfactual Debiasing. Zhihong Zhu, Xianwei Zhuang, Yunyan Zhang, Derong Xu, Guimin Hu, Xian Wu, Yefeng Zheng |
| 2024 | TFLOP: Table Structure Recognition Framework with Layout Pointer Mechanism. Minsoo Khang, Teakgyu Hong |
| 2024 | TFWT: Tabular Feature Weighting with Transformer. Xinhao Zhang, Zaitian Wang, Lu Jiang, Wanfu Gao, Pengfei Wang, Kunpeng Liu |
| 2024 | TIM: An Efficient Temporal Interaction Module for Spiking Transformer. Sicheng Shen, Dongcheng Zhao, Guobin Shen, Yi Zeng |
| 2024 | TSESNet: Temporal-Spatial Enhanced Breast Tumor Segmentation in DCE-MRI Using Feature Perception and Separability. Jiezhou He, Xue Zhao, Zhiming Luo, Songzhi Su, Shaozi Li, Guojun Zhang |
| 2024 | TaD: A Plug-and-Play Task-Aware Decoding Method to Better Adapt LLMs on Downstream Tasks. Xinhao Xu, Hui Chen, Zijia Lin, Jungong Han, Lixing Gong, Guoxin Wang, Yongjun Bao, Guiguang Ding |
| 2024 | Tackling Stackelberg Network Interdiction against a Boundedly Rational Adversary. Tien Mai, Avinandan Bose, Arunesh Sinha, Thanh Hong Nguyen, Ayushman Kumar singh |
| 2024 | Task-Agnostic Self-Distillation for Few-Shot Action Recognition. Bin Zhang, Yuanjie Dang, Peng Chen, Ronghua Liang, Nan Gao, Ruohong Huan, Xiaofei He |
| 2024 | Temporal Domain Generalization via Learning Instance-level Evolving Patterns. Yujie Jin, Zhibang Yang, Xu Chu, Liantao Ma |
| 2024 | Temporal Graph ODEs for Irregularly-Sampled Time Series. Alessio Gravina, Daniele Zambon, Davide Bacciu, Cesare Alippi |
| 2024 | Temporal Inductive Logic Reasoning over Hypergraphs. Yuan Yang, Siheng Xiong, Ali Payani, James Clayton Kerce, Faramarz Fekri |
| 2024 | Temporal Knowledge Graph Extrapolation via Causal Subhistory Identification. Kai Chen, Ye Wang, Xin Song, Siwei Chen, Han Yu, Aiping Li |
| 2024 | Ten Words Only Still Help: Improving Black-Box AI-Generated Text Detection via Proxy-Guided Efficient Re-Sampling. Yuhui Shi, Qiang Sheng, Juan Cao, Hao Mi, Beizhe Hu, Danding Wang |
| 2024 | The Distortion of Threshold Approval Matching. Mohamad Latifian, Alexandros A. Voudouris |
| 2024 | The Impact of Features Used by Algorithms on Perceptions of Fairness. Andrew Estornell, Tina Zhang, Sanmay Das, Chien-Ju Ho, Brendan Juba, Yevgeniy Vorobeychik |
| 2024 | The Information Retrieval Experiment Platform (Extended Abstract). Maik Fröbe, Jan Heinrich Reimer, Sean MacAvaney, Niklas Deckers, Simon Reich, Janek Bevendorff, Benno Stein, Matthias Hagen, Martin Potthast |
| 2024 | The Orthogonality of Weight Vectors: The Key Characteristics of Normalization and Residual Connections. Zhixing Lu, Yuanyuan Sun, Zhihao Yang, Qin Zhou, Hongfei Lin |
| 2024 | The Rise of Federated Intelligence: From Federated Foundation Models Toward Collective Intelligence. Guodong Long |
| 2024 | The Role of Perception, Acceptance, and Cognition in the Usefulness of Robot Explanations. Hana Kopecka, Jose Such, Michael Luck |
| 2024 | The Transformation Logics. Alessandro Ronca |
| 2024 | The Trembling-Hand Problem for LTLf Planning. Pian Yu, Shufang Zhu, Giuseppe De Giacomo, Marta Kwiatkowska, Moshe Y. Vardi |
| 2024 | Theoretical Study on Multi-objective Heuristic Search. Shawn Skyler, Shahaf S. Shperberg, Dor Atzmon, Ariel Felner, Oren Salzman, Shao-Hung Chan, Han Zhang, Sven Koenig, William Yeoh, Carlos Hernández Ulloa |
| 2024 | Time-Evolving Data Science and Artificial Intelligence for Advanced Open Environmental Science (TAIAO) Programme. Yun Sing Koh, Albert Bifet, Karin R. Bryan, Guilherme Weigert Cassales, Olivier Graffeuille, Nick Jin Sean Lim, Phil Mourot, Ding Ning, Bernhard Pfahringer, Varvara Vetrova, Heitor Murilo Gomes |
| 2024 | To Promote Full Cooperation in Social Dilemmas, Agents Need to Unlearn Loyalty. Chin-wing Leung, Tom Lenaerts, Paolo Turrini |
| 2024 | ToDo: Token Downsampling for Efficient Generation of High-Resolution Images. Ethan Smith, Nayan Saxena, Aninda Saha |
| 2024 | Tolerating Outliers: Gradient-Based Penalties for Byzantine Robustness and Inclusion. Latifa Errami, El Houcine Bergou |
| 2024 | Toward Completing the Picture of Control in Schulze and Ranked Pairs Elections. Cynthia Maushagen, David Niclaus, Paul Nüsken, Jörg Rothe, Tessa Seeger |
| 2024 | Toward a Manifold-Preserving Temporal Graph Network in Hyperbolic Space. Viet Quan Le, Viet Cuong Ta |
| 2024 | Towards Automatic Composition of ASP Programs from Natural Language Specifications. Manuel A. Borroto Santana, Irfan Kareem, Francesco Ricca |
| 2024 | Towards Counterfactual Fairness-aware Domain Generalization in Changing Environments. Yujie Lin, Chen Zhao, Minglai Shao, Baoluo Meng, Xujiang Zhao, Haifeng Chen |
| 2024 | Towards Dynamic Trend Filtering through Trend Point Detection with Reinforcement Learning. Jihyeon Seong, Sekwang Oh, Jaesik Choi |
| 2024 | Towards Dynamic-Prompting Collaboration for Source-Free Domain Adaptation. Mengmeng Zhan, Zongqian Wu, Rongyao Hu, Ping Hu, Heng Tao Shen, Xiaofeng Zhu |
| 2024 | Towards Efficient MCMC Sampling in Bayesian Neural Networks by Exploiting Symmetry (Extended Abstract). Jonas Gregor Wiese, Lisa Wimmer, Theodore Papamarkou, Bernd Bischl, Stephan Günnemann, David Rügamer |
| 2024 | Towards Exact Computation of Inductive Bias. Akhilan Boopathy, William Yue, Jaedong Hwang, Abhiram Iyer, Ila Fiete |
| 2024 | Towards Generalizable Neural Solvers for Vehicle Routing Problems via Ensemble with Transferrable Local Policy. Chengrui Gao, Haopu Shang, Ke Xue, Dong Li, Chao Qian |
| 2024 | Towards Geometric Normalization Techniques in SE(3) Equivariant Graph Neural Networks for Physical Dynamics Simulations. Ziqiao Meng, Liang Zeng, Zixing Song, Tingyang Xu, Peilin Zhao, Irwin King |
| 2024 | Towards Highly Realistic Artistic Style Transfer via Stable Diffusion with Step-aware and Layer-aware Prompt. Zhanjie Zhang, Quanwei Zhang, Huaizhong Lin, Wei Xing, Juncheng Mo, Shuaicheng Huang, Jinheng Xie, Guangyuan Li, Junsheng Luan, Lei Zhao, Dalong Zhang, Lixia Chen |
| 2024 | Towards Proactive Interactions for In-Vehicle Conversational Assistants Utilizing Large Language Models. Huifang Du, Xuejing Feng, Jun Ma, Meng Wang, Shiyu Tao, Yijie Zhong, Yuan-Fang Li, Haofen Wang |
| 2024 | Towards Revolutionized Smart Grids: An AI-Driven Broker for Improved Operational Efficiency. Sanjay Chandlekar |
| 2024 | Towards Robust Multi-Label Learning against Dirty Label Noise. Yuhai Zhao, Yejiang Wang, Zhengkui Wang, Wen Shan, Miaomiao Huang, Meixia Wang, Min Huang, Xingwei Wang |
| 2024 | Towards Robust Trajectory Representations: Isolating Environmental Confounders with Causal Learning. Kang Luo, Yuanshao Zhu, Wei Chen, Kun Wang, Zhengyang Zhou, Sijie Ruan, Yuxuan Liang |
| 2024 | Towards Sharper Generalization Bounds for Adversarial Contrastive Learning. Wen Wen, Han Li, Tieliang Gong, Hong Chen |
| 2024 | Towards Sharper Risk Bounds for Minimax Problems. Bowei Zhu, Shaojie Li, Yong Liu |
| 2024 | Towards a Framework for Learning of Algorithms: The Case of Learned Comparison Sorts. Philipp Kunz, Ilche Georgievski, Marco Aiello |
| 2024 | Towards a Pretrained Model for Restless Bandits via Multi-arm Generalization. Yunfan Zhao, Nikhil Behari, Edward Hughes, Edwin Zhang, Dheeraj Nagaraj, Karl Tuyls, Aparna Taneja, Milind Tambe |
| 2024 | Towards a Principle-based Framework for Assessing the Contribution of Formulas on the Conflicts of Knowledge Bases. Badran Raddaoui, Christian Straßer, Saïd Jabbour |
| 2024 | Towards a Resilient Intelligent Automation System. Segev Shlomov, Sami Marreed, Avi Yaeli |
| 2024 | Towards a Theory of Machine Learning on Graphs and its Applications in Combinatorial Optimization. Christopher Morris |
| 2024 | Trade When Opportunity Comes: Price Movement Forecasting via Locality-Aware Attention and Iterative Refinement Labeling. Liang Zeng, Lei Wang, Hui Niu, Ruchen Zhang, Ling Wang, Jian Li |
| 2024 | Transfer Learning Using Inaccurate Physics Rule for Streamflow Prediction. Tianshu Bao, Taylor T. Johnson, Xiaowei Jia |
| 2024 | Transforming Recommender Systems: Balancing Personalization, Fairness, and Human Values. Julia Neidhardt |
| 2024 | Trends, Applications, and Challenges in Human Attention Modelling. Giuseppe Cartella, Marcella Cornia, Vittorio Cuculo, Alessandro D'Amelio, Dario Zanca, Giuseppe Boccignone, Rita Cucchiara |
| 2024 | Trusted Multi-view Learning with Label Noise. Cai Xu, Yilin Zhang, Ziyu Guan, Wei Zhao |
| 2024 | Trustworthy Machine Learning under Imperfect Data. Bo Han |
| 2024 | Truth Table Net: Scalable, Compact & Verifiable Neural Networks with a Dual Convolutional Small Boolean Circuit Networks Form. Adrien Benamira, Thomas Peyrin, Trevor Yap, Tristan Guérand, Bryan Hooi |
| 2024 | Truthful Interval Covering. Argyrios Deligkas, Aris Filos-Ratsikas, Alexandros A. Voudouris |
| 2024 | Two-Sided Facility Location Games. Simon Krogmann |
| 2024 | Two-stage Semi-supervised Speaker Recognition with Gated Label Learning. Xingmei Wang, Jiaxiang Meng, Kong Aik Lee, Boquan Li, Jinghan Liu |
| 2024 | Unbiased Active Semi-supervised Binary Classification Models. JooChul Lee, Weidong Ma, Ziyang Wang |
| 2024 | Understanding Public Perception Towards Weather Disasters Through the Lens of Metaphor. Rui Mao, Qika Lin, Qiawen Liu, Gianmarco Mengaldo, Erik Cambria |
| 2024 | UniM-OV3D: Uni-Modality Open-Vocabulary 3D Scene Understanding with Fine-Grained Feature Representation. Qingdong He, Jinlong Peng, Zhengkai Jiang, Kai Wu, Xiaozhong Ji, Jiangning Zhang, Yabiao Wang, Chengjie Wang, Mingang Chen, Yunsheng Wu |
| 2024 | Unified Evidence Enhancement Inference Framework for Fake News Detection. Lianwei Wu, Linyong Wang, Yongqiang Zhao |
| 2024 | Unified Physical-Digital Face Attack Detection. Hao Fang, Ajian Liu, Haocheng Yuan, Junze Zheng, Dingheng Zeng, Yanhong Liu, Jiankang Deng, Sergio Escalera, Xiaoming Liu, Jun Wan, Zhen Lei |
| 2024 | Unified Single-Stage Transformer Network for Efficient RGB-T Tracking. Jianqiang Xia, Dianxi Shi, Ke Song, Linna Song, Xiaolei Wang, Songchang Jin, Chenran Zhao, Yu Cheng, Lei Jin, Zheng Zhu, Jianan Li, Gang Wang, Junliang Xing, Jian Zhao |
| 2024 | Unified Unsupervised Salient Object Detection via Knowledge Transfer. Yao Yuan, Wutao Liu, Pan Gao, Qun Dai, Jie Qin |
| 2024 | Unified View Imputation and Feature Selection Learning for Incomplete Multi-view Data. Yanyong Huang, Zongxin Shen, Tianrui Li, Fengmao Lv |
| 2024 | Unlearning during Learning: An Efficient Federated Machine Unlearning Method. Hanlin Gu, Gongxi Zhu, Jie Zhang, Xinyuan Zhao, Yuxing Han, Lixin Fan, Qiang Yang |
| 2024 | Unlearning from Weakly Supervised Learning. Yi Tang, Yi Gao, Yonggang Luo, Jucheng Yang, Miao Xu, Min-Ling Zhang |
| 2024 | Unmasking Societal Biases in Respiratory Support for ICU Patients through Social Determinants of Health. Mira Moukheiber, Lama Moukheiber, Dana Moukheiber, Hyung-Chul Lee |
| 2024 | Unsupervised Anomaly Detection via Masked Diffusion Posterior Sampling. Di Wu, Shicai Fan, Xue Zhou, Li Yu, Yuzhong Deng, Jianxiao Zou, Baihong Lin |
| 2024 | Unsupervised Deep Graph Structure and Embedding Learning. Xiaobo Shen, Lei Shi, Xiuwen Gong, Shirui Pan |
| 2024 | Updates on the Complexity of SHAP Scores. Xuanxiang Huang, João Marques-Silva |
| 2024 | Upgrading Search Applications in the Era of LLMs: A Demonstration with Practical Lessons. Shuang Yu, Nirandika Wanigasekara, Jeff Tan, Kent Fitch, Jaydeep Sen |
| 2024 | Using Causal Inference to Investigate Contraceptive Discontinuation in Sub-Saharan Africa. Victor Akinwande, Megan MacGregor, Celia Cintas, Ehud Karavani, Dennis Wei, Kush R. Varshney, Pablo A. Nepomnaschy |
| 2024 | Using Large Language Models and Recruiter Expertise for Optimized Multilingual Job Offer - Applicant CV Matching. Hamit Kavas, Marc Serra-Vidal, Leo Wanner |
| 2024 | Using Large Language Models to Improve Query-based Constraint Acquisition. Younes Mechqrane, Christian Bessiere, Ismail Elabbassi |
| 2024 | VCC-INFUSE: Towards Accurate and Efficient Selection of Unlabeled Examples in Semi-supervised Learning. Shijie Fang, Qianhan Feng, Tong Lin |
| 2024 | VCformer: Variable Correlation Transformer with Inherent Lagged Correlation for Multivariate Time Series Forecasting. Yingnan Yang, Qingling Zhu, Jianyong Chen |
| 2024 | VF-Detector: Making Multi-Granularity Code Changes on Vulnerability Fix Detector Robust to Mislabeled Changes. Zhenkan Fu, Shikai Guo, Hui Li, Rong Chen, Xiaochen Li, He Jiang |
| 2024 | VSGT: Variational Spatial and Gaussian Temporal Graph Models for EEG-based Emotion Recognition. Chenyu Liu, Xinliang Zhou, Jiaping Xiao, Zhengri Zhu, Liming Zhai, Ziyu Jia, Yang Liu |
| 2024 | Vertical Symbolic Regression via Deep Policy Gradient. Nan Jiang, Md. Nasim, Yexiang Xue |
| 2024 | Vision-based Discovery of Nonlinear Dynamics for 3D Moving Target. Zitong Zhang, Yang Liu, Hao Sun |
| 2024 | Vision-fused Attack: Advancing Aggressive and Stealthy Adversarial Text against Neural Machine Translation. Yanni Xue, Haojie Hao, Jiakai Wang, Qiang Sheng, Renshuai Tao, Yu Liang, Pu Feng, Xianglong Liu |
| 2024 | Visual Attention Prompted Prediction and Learning. Yifei Zhang, Bo Pan, Siyi Gu, Guangji Bai, Meikang Qiu, Xiaofeng Yang, Liang Zhao |
| 2024 | Voting by Axioms (Extended Abstract). Marie Christin Schmidtlein, Ulle Endriss |
| 2024 | Vulnerabilities of Single-Round Incentive Compatibility in Auto-bidding: Theory and Evidence from ROI-Constrained Online Advertising Markets. Juncheng Li, Pingzhong Tang |
| 2024 | VulnerabilityMap: An Open Framework for Mapping Vulnerability among Urban Disadvantaged Populations in the United States. Lin Chen, Yong Li, Pan Hui |
| 2024 | WPML3CP: Wasserstein Partial Multi-Label Learning with Dual Label Correlation Perspectives. Ximing Li, Yuanchao Dai, Bing Wang, Changchun Li, Renchu Guan, Fangming Gu, Jihong Ouyang |
| 2024 | WSRFNet: Wavelet-Based Scale-Specific Recurrent Feedback Network for Diabetic Retinopathy Lesion Segmentation. Xuan Li, Xiangqian Wu |
| 2024 | Wearable Sensor-Based Few-Shot Continual Learning on Hand Gestures for Motor-Impaired Individuals via Latent Embedding Exploitation. Riyad Bin Rafiq, Weishi Shi, Mark V. Albert |
| 2024 | WeatherGNN: Exploiting Meteo- and Spatial-Dependencies for Local Numerical Weather Prediction Bias-Correction. Binqing Wu, Weiqi Chen, Wengwei Wang, Bingqing Peng, Liang Sun, Ling Chen |
| 2024 | Weighted EF1 and PO Allocations with Few Types of Agents or Chores. Jugal Garg, Aniket Murhekar, John Qin |
| 2024 | Weighted, Circular and Semi-Algebraic Proofs (Abstract Reprint). Ilario Bonacina, Maria Luisa Bonet, Jordi Levy |
| 2024 | Welfare Loss in Connected Resource Allocation. Xiaohui Bei, Alexander Lam, Xinhang Lu, Warut Suksompong |
| 2024 | What Hides behind Unfairness? Exploring Dynamics Fairness in Reinforcement Learning. Zhihong Deng, Jing Jiang, Guodong Long, Chengqi Zhang |
| 2024 | What Is Best for Students, Numerical Scores or Letter Grades? Evi Micha, Shreyas Sekar, Nisarg Shah |
| 2024 | What Makes Models Compositional? A Theoretical View. Parikshit Ram, Tim Klinger, Alexander G. Gray |
| 2024 | When Fairness Meets Privacy: Exploring Privacy Threats in Fair Binary Classifiers via Membership Inference Attacks. Huan Tian, Guangsheng Zhang, Bo Liu, Tianqing Zhu, Ming Ding, Wanlei Zhou |
| 2024 | Where Elegance Meets Precision: Towards a Compact, Automatic, and Flexible Framework for Multi-modality Image Fusion and Applications. Jinyuan Liu, Guanyao Wu, Zhu Liu, Long Ma, Risheng Liu, Xin Fan |
| 2024 | Where to Mask: Structure-Guided Masking for Graph Masked Autoencoders. Chuang Liu, Yuyao Wang, Yibing Zhan, Xueqi Ma, Dapeng Tao, Jia Wu, Wenbin Hu |
| 2024 | Who Looks like Me: Semantic Routed Image Harmonization. Jinsheng Sun, Chao Yao, Xiaokun Wang, Yu Guo, Yalan Zhang, Xiaojuan Ban |
| 2024 | Why Only Text: Empowering Vision-and-Language Navigation with Multi-modal Prompts. Haodong Hong, Sen Wang, Zi Huang, Qi Wu, Jiajun Liu |
| 2024 | With a Little Help from Language: Semantic Enhanced Visual Prototype Framework for Few-Shot Learning. Hecheng Cai, Yang Liu, Shudong Huang, Jiancheng Lv |
| 2024 | X-Light: Cross-City Traffic Signal Control Using Transformer on Transformer as Meta Multi-Agent Reinforcement Learner. Haoyuan Jiang, Ziyue Li, Hua Wei, Xuantang Xiong, Jingqing Ruan, Jiaming Lu, Hangyu Mao, Rui Zhao |
| 2024 | X-former Elucidator: Reviving Efficient Attention for Long Context Language Modeling. Xupeng Miao, Shenhan Zhu, Fangcheng Fu, Ziyu Guo, Zhi Yang, Yaofeng Tu, Zhihao Jia, Bin Cui |
| 2024 | XAI-Lyricist: Improving the Singability of AI-Generated Lyrics with Prosody Explanations. Qihao Liang, Xichu Ma, Finale Doshi-Velez, Brian Lim, Ye Wang |
| 2024 | XGA-Osteo: Towards XAI-Enabled Knee Osteoarthritis Diagnosis with Adversarial Learning. Hieu Phan Trung, Loc Le Tan, Mao Nguyen, Phat Nguyen, Sang Nguyen, Minh-Triet Tran, Tho Quan |
| 2024 | Zero-Shot Sketch Based Image Retrieval via Modality Capacity Guidance. Yanghong Zhou, Dawei Liu, P. Y. Mok |
| 2024 | Zero-shot High-fidelity and Pose-controllable Character Animation. Bingwen Zhu, Fanyi Wang, Tianyi Lu, Peng Liu, Jingwen Su, Jinxiu Liu, Yanhao Zhang, Zuxuan Wu, Guo-Jun Qi, Yu-Gang Jiang |
| 2024 | Zero-shot Learning for Preclinical Drug Screening. Kun Li, Weiwei Liu, Yong Luo, Xiantao Cai, Jia Wu, Wenbin Hu |
| 2024 | ZeroDDI: A Zero-Shot Drug-Drug Interaction Event Prediction Method with Semantic Enhanced Learning and Dual-modal Uniform Alignment. Ziyan Wang, Zhankun Xiong, Feng Huang, Xuan Liu, Wen Zhang |
| 2024 | Zeta*-SIPP: Improved Time-Optimal Any-Angle Safe-Interval Path Planning. Yiyuan Zou, Clark Borst |
| 2024 | gSASRec: Reducing Overconfidence in Sequential Recommendation Trained with Negative Sampling (Extended Abstract). Aleksandr V. Petrov, Craig Macdonald |
| 2024 | iFakeDetector: Real Time Integrated Web-based Deepfake Detection System. Kangjun Lee, Inho Jung, Simon S. Woo |
| 2024 | vMFER: Von Mises-Fisher Experience Resampling Based on Uncertainty of Gradient Directions for Policy Improvement. Yiwen Zhu, Jinyi Liu, Wenya Wei, Qianyi Fu, Yujing Hu, Zhou Fang, Bo An, Jianye Hao, Tangjie Lv, Changjie Fan |