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| 2025 | Proactive Data-driven Scheduling of Business Processes. | Francesca Meneghello, Arik Senderovich, Massimiliano Ronzani, Chiara Di Francescomarino, Chiara Ghidini |
| 2025 | Leveraging Peer-Informed Label Consistency for Robust Graph Neural Networks with Noisy Labels. | Kailai Li, Jiawei Sun, Jiong Lou, Zhanbo Feng, Hefeng Zhou, Chentao Wu, Guangtao Xue, Wei Zhao, Jie Li |
| 2025 | The Proportional Veto Principle for Approval Ballots. | Daniel Halpern, Ariel D. Procaccia, Warut Suksompong |
| 2025 | Learning Probabilistic Temporal Logic Specifications for Stochastic Systems. | Rajarshi Roy, Yash Pote, Dave Parker, Marta Kwiatkowska |
| 2025 | M4Bench: A Benchmark of Multi-domain Multi-granularity Multi-image Understanding for Multi-modal Large Language Models. | Xiaojun Ye, Guanbao Liang, Chun Wang, Liangcheng Li, Pengfei Ke, Rui Wang, Bingxin Jia, Gang Huang, Qiao Sun, Sheng Zhou |
| 2025 | Combining Deep Reinforcement Learning and Search with Generative Models for Game-Theoretic Opponent Modeling. | Zun Li, Marc Lanctot, Kevin R. McKee, Luke Marris, Ian Gemp, Daniel Hennes, Paul Muller, Kate Larson, Yoram Bachrach, Michael P. Wellman |
| 2025 | Verified Certificates via SAT and Computer Algebra Systems for the Ramsey R(3, 8) and R(3, 9) Problems. | Zhengyu Li, Conor Duggan, Curtis Bright, Vijay Ganesh |
| 2025 | Universal Graph Self-Contrastive Learning. | Liang Yang, Yukun Cai, Hui Ning, Jiaming Zhuo, Di Jin, Ziyi Ma, Yuanfang Guo, Chuan Wang, Zhen Wang |
| 2025 | Streaming Multi-agent Pathfinding. | Mingkai Tang, Lu Gan, Kaichen Zhang |
| 2025 | Low-Light Video Enhancement via Spatial-Temporal Consistent Decomposition. | Xiaogang Xu, Kun Zhou, Tao Hu, Jiafei Wu, Ruixing Wang, Hao Peng, Bei Yu |
| 2025 | Towards Regularized Mixture of Predictions for Class-Imbalanced Semi-Supervised Facial Expression Recognition. | Hangyu Li, Yixin Zhang, Jiangchao Yao, Nannan Wang, Bo Han |
| 2025 | Do Mentioned Items Truly Matter? Enhancing Conversational Recommender Systems with Causal Intervention and Large Language Models. | Lingzhi Wang, Xingshan Zeng, Kam-Fai Wong |
| 2025 | A Simple yet Effective Hypergraph Clustering Network. | Qianqian Wang, Bowen Zhao, Zhengming Ding, Xiangdong Zhang, Quanxue Gao |
| 2025 | Probabilistic Analysis of Stable Matching in Large Markets with Siblings. | Zhaohong Sun, Tomohiko Yokoyama, Makoto Yokoo |
| 2025 | A Dynamic Knowledge Update-Driven Model with Large Language Models for Fake News Detection. | Di Jin, Jun Yang, Xiaobao Wang, Junwei Zhang, Shuqi Li, Dongxiao He |
| 2025 | R2DQG: A Quality Meets Diversity Framework for Question Generation over Knowledge Bases. | Yimeng Ren, Yanhua Yu, Lizi Liao, Yuhu Shang, Kangkang Lu, Mingliang Yan |
| 2025 | A Unifying Perspective on Model Reuse: From Small to Large Pre-Trained Models. | Da-Wei Zhou, Han-Jia Ye |
| 2025 | Integrating Independent Layer-Wise Rank Selection with Low-Rank SVD Training for Model Compression: A Theory-Driven Approach. | Yifan Guo, Alyssa Yu |
| 2025 | FedHAN: A Cache-Based Semi-Asynchronous Federated Learning Framework Defending Against Poisoning Attacks in Heterogeneous Clients. | Xiaoding Wang, Bin Ye, Li Xu, Lizhao Wu, Sun-Yuan Hsieh, Jie Wu, Limei Lin |
| 2025 | SetKE: Knowledge Editing for Knowledge Elements Overlap. | Yifan Wei, Xiaoyan Yu, Ran Song, Hao Peng, Angsheng Li |
| 2025 | Efficient Multi-view Clustering via Reinforcement Contrastive Learning. | Qianqian Wang, Haiming Xu, Zihao Zhang, Zhiqiang Tao, Quanxue Gao |
| 2025 | Multi-Objective Neural Bandits with Random Scalarization. | Ji Cheng, Bo Xue, Chengyu Lu, Ziqiang Cui, Qingfu Zhang |
| 2025 | Revisiting Proportional Allocation with Subsidy: Simplification and Improvements. | Xiaowei Wu, Quan Xue, Shengwei Zhou |
| 2025 | Wrapped Partial Label Dimensionality Reduction via Dependence Maximization. | Xiang-Ru Yu, Deng-Bao Wang, Min-Ling Zhang |