| 2024 | Spatial-Temporal Perceiving: Deciphering User Hierarchical Intent in Session-Based Recommendation. | Xiao Wang, Tingting Dai, Qiao Liu, Shuang Liang |
| 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 | N-Agent Ad Hoc Teamwork. | Caroline Wang |
| 2024 | Atomic Recovery Property for Multi-view Subspace-Preserving Recovery. | Yulong Wang |
| 2024 | HeterGCL: Graph Contrastive Learning Framework on Heterophilic Graph. | Chenhao Wang, Yong Liu, Yan Yang, Wei Li |
| 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 | 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 | Cross-Talk Reduction. | Zhong-Qiu Wang, Anurag Kumar, Shinji Watanabe |
| 2024 | Mechanisms That Play a Game, Not Toss a Coin. | Toby Walsh |
| 2024 | Computational Argumentation: Reasoning, Dynamics, and Supporting Explainability. | Johannes P. Wallner |
| 2024 | Attribution Quality Metrics with Magnitude Alignment. | Chase Walker, Dominic Simon, Kenny Chen, Rickard Ewetz |
| 2024 | A Survey of Constraint Formulations in Safe Reinforcement Learning. | Akifumi Wachi, Xun Shen, Yanan Sui |
| 2024 | Instance-Level Metalearning for Outlier Detection. | Long Vu, Peter Kirchner, Charu C. Aggarwal, Horst Samulowitz |
| 2024 | Structured d-DNNF Is Not Closed under Negation. | Harry Vinall-Smeeth |
| 2024 | Interpretable Tensor Fusion. | Saurabh Varshneya, Antoine Ledent, Philipp Liznerski, Andriy Balinskyy, Purvanshi Mehta, Waleed Mustafa, Marius Kloft |
| 2024 | Correct and Optimal: The Regular Expression Inference Challenge. | Mojtaba Valizadeh, Philip John Gorinski, Ignacio Iacobacci, Martin Berger |
| 2024 | Proximal Curriculum with Task Correlations for Deep Reinforcement Learning. | Georgios Tzannetos, Parameswaran Kamalaruban, Adish Singla |
| 2024 | A Tensor-Based Formalization of the Event Calculus. | Efthimis Tsilionis, Alexander Artikis, Georgios Paliouras |
| 2024 | Enabling Mixed Effects Neural Networks for Diverse, Clustered Data Using Monte Carlo Methods. | Andrej Tschalzev, Paul Nitschke, Lukas Kirchdorfer, Stefan Ldtke, Christian Bartelt, Heiner Stuckenschmidt |
| 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 | Image Retrieval with Self-Supervised Divergence Minimization and Cross-Attention Classification. | Vivek Trivedy, Longin Jan Latecki |
| 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 | Fairness and Optimization in Dynamic Multiagent Allocation Problems. | Yohai Trabelsi |
| 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 | Reassessing Evaluation Functions in Algorithmic Recourse: An Empirical Study from a Human-Centered Perspective. | Tomu Tominaga, Naomi Yamashita, Takeshi Kurashima |