| 2025 | Towards Robustness and Explainability of Automatic Algorithm Selection. | Xingyu Wu, Jibin Wu, Yu Zhou, Liang Feng, KC Tan |
| 2025 | The Best of Both Worlds: Bridging Quality and Diversity in Data Selection with Bipartite Graph. | Minghao Wu, Thuy-Trang Vu, Lizhen Qu, Gholamreza Haffari |
| 2025 | FLAM: Frame-Wise Language-Audio Modeling. | Yusong Wu, Christos Tsirigotis, Ke Chen, Cheng-Zhi Anna Huang, Aaron C. Courville, Oriol Nieto, Prem Seetharaman, Justin Salamon |
| 2025 | Bongard in Wonderland: Visual Puzzles that Still Make AI Go Mad? | Antonia Wst, Tim Nelson Tobiasch, Lukas Helff, Inga Ibs, Wolfgang Stammer, Devendra Singh Dhami, Constantin A. Rothkopf, Kristian Kersting |
| 2025 | TokenSwift: Lossless Acceleration of Ultra Long Sequence Generation. | Tong Wu, Junzhe Shen, Zixia Jia, Yuxuan Wang, Zilong Zheng |
| 2025 | In-Context Deep Learning via Transformer Models. | Weimin Wu, Maojiang Su, Jerry Yao-Chieh Hu, Zhao Song, Han Liu |
| 2025 | When Do LLMs Help With Node Classification? A Comprehensive Analysis. | Xixi Wu, Yifei Shen, Fangzhou Ge, Caihua Shan, Yizhu Jiao, Xiangguo Sun, Hong Cheng |
| 2025 | Learning Optimal Multimodal Information Bottleneck Representations. | Qilong Wu, Yiyang Shao, Jun Wang, Xiaobo Sun |
| 2025 | K2VAE: A Koopman-Kalman Enhanced Variational AutoEncoder for Probabilistic Time Series Forecasting. | Xingjian Wu, Xiangfei Qiu, Hongfan Gao, Jilin Hu, Bin Yang, Chenjuan Guo |
| 2025 | Identifying biological perturbation targets through causal differential networks. | Menghua Wu, Umesh Padia, Sean H. Murphy, Regina Barzilay, Tommi S. Jaakkola |
| 2025 | Aligning Spoken Dialogue Models from User Interactions. | Anne Wu, Laurent Mazar, Neil Zeghidour, Alexandre Dfossez |
| 2025 | Neural Collapse Beyond the Unconstrained Features Model: Landscape, Dynamics, and Generalization in the Mean-Field Regime. | Diyuan Wu, Marco Mondelli |
| 2025 | Few-Shot Learner Generalizes Across AI-Generated Image Detection. | Shiyu Wu, Jing Liu, Jing Li, Yequan Wang |
| 2025 | Streamline Without Sacrifice - Squeeze out Computation Redundancy in LMM. | Penghao Wu, Lewei Lu, Ziwei Liu |
| 2025 | Preserving AUC Fairness in Learning with Noisy Protected Groups. | Mingyang Wu, Li Lin, Wenbin Zhang, Xin Wang, Zhenhuan Yang, Shu Hu |
| 2025 | Label Distribution Propagation-based Label Completion for Crowdsourcing. | Tong Wu, Liangxiao Jiang, Wenjun Zhang, Chaoqun Li |
| 2025 | GPEN: Global Position Encoding Network for Enhanced Subgraph Representation Learning. | Nannan Wu, Yuming Huang, Yiming Zhao, Jie Chen, Wenjun Wang |
| 2025 | In-Context Learning as Conditioned Associative Memory Retrieval. | Weimin Wu, Teng-Yun Hsiao, Jerry Yao-Chieh Hu, Wenxin Zhang, Han Liu |
| 2025 | SpikF: Spiking Fourier Network for Efficient Long-term Prediction. | Wenjie Wu, Dexuan Huo, Hong Chen |
| 2025 | CollabLLM: From Passive Responders to Active Collaborators. | Shirley Wu, Michel Galley, Baolin Peng, Hao Cheng, Gavin Li, Yao Dou, Weixin Cai, James Zou, Jure Leskovec, Jianfeng Gao |
| 2025 | How Do Transformers Learn Variable Binding in Symbolic Programs? | Yiwei Wu, Atticus Geiger, Raphal Millire |
| 2025 | Adaptive Localization of Knowledge Negation for Continual LLM Unlearning. | Abudukelimu Wuerkaixi, Qizhou Wang, Sen Cui, Wutong Xu, Bo Han, Gang Niu, Masashi Sugiyama, Changshui Zhang |
| 2025 | Cape: Context-Aware Prompt Perturbation Mechanism with Differential Privacy. | Haoqi Wu, Wei Dai, Li Wang, Qiang Yan |
| 2025 | Cross-Modal Alignment via Variational Copula Modelling. | Feng Wu, Tsai Hor Chan, Fuying Wang, Guosheng Yin, Lequan Yu |
| 2025 | Navigating Semantic Drift in Task-Agnostic Class-Incremental Learning. | Fangwen Wu, Lechao Cheng, Shengeng Tang, Xiaofeng Zhu, Chaowei Fang, Dingwen Zhang, Meng Wang |