| 2025 | Simulating Human-like Daily Activities with Desire-driven Autonomy. | Yiding Wang, Yuxuan Chen, Fangwei Zhong, Long Ma, Yizhou Wang |
| 2025 | Learning to Communicate Through Implicit Communication Channels. | Han Wang, Binbin Chen, Tieying Zhang, Baoxiang Wang |
| 2025 | PseDet: Revisiting the Power of Pseudo Label in Incremental Object Detection. | Qiuchen Wang, Zehui Chen, Chenhongyi Yang, Jiaming Liu, Zhenyu Li, Feng Zhao |
| 2025 | Understanding and Mitigating Bottlenecks of State Space Models through the Lens of Recency and Over-smoothing. | Peihao Wang, Ruisi Cai, Yuehao Wang, Jiajun Zhu, Pragya Srivastava, Zhangyang Wang, Pan Li |
| 2025 | Planning in Natural Language Improves LLM Search for Code Generation. | Evan Z. Wang, Federico Cassano, Catherine Wu, Yunfeng Bai, William Song, Vaskar Nath, Ziwen Han, Sean M. Hendryx, Summer Yue, Hugh Zhang |
| 2025 | Credal Wrapper of Model Averaging for Uncertainty Estimation in Classification. | Kaizheng Wang, Fabio Cuzzolin, Keivan Shariatmadar, David Moens, Hans Hallez |
| 2025 | Training Free Guided Flow-Matching with Optimal Control. | Luran Wang, Chaoran Cheng, Yizhen Liao, Yanru Qu, Ge Liu |
| 2025 | Basis Sharing: Cross-Layer Parameter Sharing for Large Language Model Compression. | Jingcun Wang, Yu-Guang Chen, Ing-Chao Lin, Bing Li, Grace Li Zhang |
| 2025 | MADGEN: Mass-Spec attends to De Novo Molecular generation. | Yinkai Wang, Xiaohui Chen, Liping Liu, Soha Hassoun |
| 2025 | Humanizing the Machine: Proxy Attacks to Mislead LLM Detectors. | Tianchun Wang, Yuanzhou Chen, Zichuan Liu, Zhanwen Chen, Haifeng Chen, Xiang Zhang, Wei Cheng |
| 2025 | PFDiff: Training-Free Acceleration of Diffusion Models Combining Past and Future Scores. | Guangyi Wang, Yuren Cai, Lijiang Li, Wei Peng, Song-Zhi Su |
| 2025 | SqueezeAttention: 2D Management of KV-Cache in LLM Inference via Layer-wise Optimal Budget. | Zihao Wang, Bin Cui, Shaoduo Gan |
| 2025 | PuzzleFusion++: Auto-agglomerative 3D Fracture Assembly by Denoise and Verify. | Zhengqing Wang, Jiacheng Chen, Yasutaka Furukawa |
| 2025 | MoS: Unleashing Parameter Efficiency of Low-Rank Adaptation with Mixture of Shards. | Sheng Wang, Liheng Chen, Pengan Chen, Jingwei Dong, Boyang Xue, Jiyue Jiang, Lingpeng Kong, Chuan Wu |
| 2025 | DEPfold: RNA Secondary Structure Prediction as Dependency Parsing. | Ke Wang, Shay B. Cohen |
| 2025 | High-dimension Prototype is a Better Incremental Object Detection Learner. | Yanjie Wang, Liqun Chen, Tianming Zhao, Tao Zhang, Guodong Wang, Luxin Yan, Sheng Zhong, Jiahuan Zhou, Xu Zou |
| 2025 | Transformers Can Learn Temporal Difference Methods for In-Context Reinforcement Learning. | Jiuqi Wang, Ethan Blaser, Hadi Daneshmand, Shangtong Zhang |
| 2025 | HelpSteer2-Preference: Complementing Ratings with Preferences. | Zhilin Wang, Alexander Bukharin, Olivier Delalleau, Daniel Egert, Gerald Shen, Jiaqi Zeng, Oleksii Kuchaiev, Yi Dong |
| 2025 | Functional Homotopy: Smoothing Discrete Optimization via Continuous Parameters for LLM Jailbreak Attacks. | Zi Wang, Divyam Anshumaan, Ashish Hooda, Yudong Chen, Somesh Jha |
| 2025 | Revisit Micro-batch Clipping: Adaptive Data Pruning via Gradient Manipulation. | Lun Wang |
| 2025 | W-PCA Based Gradient-Free Proxy for Efficient Search of Lightweight Language Models. | Shang Wang |
| 2025 | Towards Effective Evaluations and Comparisons for LLM Unlearning Methods. | Qizhou Wang, Bo Han, Puning Yang, Jianing Zhu, Tongliang Liu, Masashi Sugiyama |
| 2025 | BitStack: Any-Size Compression of Large Language Models in Variable Memory Environments. | Xinghao Wang, Pengyu Wang, Bo Wang, Dong Zhang, Yunhua Zhou, Xipeng Qiu |
| 2025 | ODE-based Smoothing Neural Network for Reinforcement Learning Tasks. | Yinuo Wang, Wenxuan Wang, Xujie Song, Tong Liu, Yuming Yin, Liangfa Chen, Likun Wang, Jingliang Duan, Shengbo Eben Li |
| 2025 | Neural Fluid Simulation on Geometric Surfaces. | Haoxiang Wang, Tao Yu, Hui Qiao, Qionghai Dai |