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| 2025 | MEXA-CTP: Mode Experts Cross-Attention for Clinical Trial Outcome Prediction. | Yiqing Zhang, Xiaozhong Liu, Fabricio Murai |
| 2025 | Label Shift Estimation With Incremental Prior Update. | Yunrui Zhang, Gustavo Batista, Salil S. Kanhere |
| 2025 | Evaluating Time Series Models with Knowledge Discovery. | Li Zhang |
| 2025 | What We Talk About When We Talk About AI for Science. | Runlong Yu, Yiqun Xie, Xiaowei Jia |
| 2025 | DynHAC: Fully Dynamic Approximate Hierarchical Agglomerative Clustering. | Shangdi Yu, Laxman Dhulipala, Jakub Lacki, Nikos Parotsidis |
| 2025 | CoMAL: Collaborative Multi-Agent Large Language Models for Mixed-Autonomy Traffic. | Huaiyuan Yao, Longchao Da, Vishnu Nandam, Justin Turnau, Zhiwei Liu, Linsey Pang, Hua Wei |
| 2025 | GAIM: Attacking Graph Neural Networks via Adversarial Influence Maximization. | Xiaodong Yang, Xiaoting Li, Huiyuan Chen, Yiwei Cai |
| 2025 | AutoSTDiff: Autoregressive Spatio-Temporal Denoising Diffusion Model for Asynchronous Trajectory Generation. | Rongchao Xu, Zhiqing Hong, Guang Wang |
| 2025 | Hierarchical Superpixel Segmentation via Structural Information Theory. | Minhui Xie, Hao Peng, Pu Li, Guangjie Zeng, Shuhai Wang, Jia Wu, Peng Li, Philip S. Yu |
| 2025 | VisTabNet: Adapting Vision Transformers for Tabular Data. | Witold Wydmanski, Ulvi Movsum-zada, Jacek Tabor, Marek Smieja |
| 2025 | OpenFE++: Efficient Automated Feature Generation via Feature Interaction. | Lei Wang, Yu Shi, Yifei Jin, Jian Li |
| 2025 | Language Models are Explorers for Join Discovery on Data Lakes. | Yaohua Wang, Bolin Ding, Rong Zhu, Haibin Wang, Zhijian Ma, Jingren Zhou |
| 2025 | Ranking with Confidence for Large Scale Comparison Data. | Filipa Valdeira, Cludia Soares |
| 2025 | Multi-View Spectral Clustering for Graphs with Multiple View Structures. | Yorgos Tsitsikas, Evangelos E. Papalexakis |
| 2025 | Approximating splits for decision trees quickly in sparse data streams. | Nikolaj Tatti |
| 2025 | Constraint-Focused Training for Multistate Survival Analysis with Neural Networks. | Ryosuke Takayama, Masanao Natsumeda |
| 2025 | Emergence of Cooperation in Multi-Agent Reinforcement Learning via Coalition Labeling and Structural Entropy. | Dingli Su, Hao Peng, Guangjie Zeng, Pu Li, Angsheng Li, Yicheng Pan |
| 2025 | Efficient Sampling of Temporal Networks with Preserved Causality Structure. | Felix I. Stamm, Mehdi Naima, Michael T. Schaub |
| 2025 | Equipping Graph Autoencoders: Revisiting Masking Strategies from a Robustness Perspective. | Shuhan Song, Ping Li, Ming Dun, Yuan Zhang, Huawei Cao, Xiaochun Ye |
| 2025 | REGE: A Method for Incorporating Uncertainty in Graph Embeddings. | Zohair Shafi, Germans Savcisens, Tina Eliassi-Rad |
| 2025 | Anomaly Detection via Graph Contrastive Learning. | Emre Sefer |
| 2025 | Task Aware Modulation using Representation Learning: An Approach for Few Shot Learning in Environmental Systems. | Arvind Renganathan, Rahul Ghosh, Ankush Khandelwal, Vipin Kumar |
| 2025 | Metrics for Inter-Dataset Similarity with Example Applications in Synthetic Data and Feature Selection Evaluation. | Muhammad Rajabinasab, Anton Danholt Lautrup, Arthur Zimek |
| 2025 | Bridging Numbers and Narratives: Enhancing Financial Market Risk Predictions through Numerical Information from Financial Documents. | Yu Qin, Chengshang Zhang, Wei Xu |