| 2025 | Empowering Multimodal Road Traffic Profiling with Vision Language Models and Frequency Spectrum Fusion. | Haolong Xiang, Xiaolong Xu, Guangdong Wang, Xuyun Zhang, Xiaoyong Li, Qi Zhang, Amin Beheshti, Wei Fan |
| 2025 | Escaping Saddle Point Efficiently in Minimax and Bilevel Optimizations. | Wenhan Xian, Feihu Huang, Heng Huang |
| 2025 | Identifying Causal Mechanism Shifts Under Additive Models with Arbitrary Noise. | Yewei Xia, Xueliang Cui, Hao Zhang, Yixin Ren, Feng Xie, Jihong Guan, Ruxin Wang, Shuigeng Zhou |
| 2025 | General Incomplete Time Series Analysis via Patch Dropping Without Imputation. | Yangyang Wu, Yi Yuan, Mengying Zhu, Xiaoye Miao, Meng Xi |
| 2025 | Weakly-supervised Audio Temporal Forgery Localization via Progressive Audio-language Co-learning Network. | Junyan Wu, Wenbo Xu, Wei Lu, Xiangyang Luo, Rui Yang, Shize Guo |
| 2025 | A Little Subsidy Ensures MMS Allocation for Three Agents. | Xiaowei Wu, Quan Xue, Shengwei Zhou |
| 2025 | Generative Multi-Agent Collaboration in Embodied AI: A Systematic Review. | Di Wu, Xian Wei, Guang Chen, Hao Shen, Bo Jin |
| 2025 | Boosting Few-Shot Open-Set Object Detection via Prompt Learning and Robust Decision Boundary. | Zhaowei Wu, Binyi Su, Qichuan Geng, Hua Zhang, Zhong Zhou |
| 2025 | Wave-driven Graph Neural Networks with Energy Dynamics for Over-smoothing Mitigation. | Peihan Wu, Hongda Qi, Sirong Huang, Dongdong An, Jie Lian, Qin Zhao |
| 2025 | A Cross-Modal Densely Guided Knowledge Distillation Based on Modality Rebalancing Strategy for Enhanced Unimodal Emotion Recognition. | Shuang Wu, Heng Liang, Yong Zhang, Yanlin Chen, Ziyu Jia |
| 2025 | Zero-shot Federated Unlearning via Transforming from Data-Dependent to Personalized Model-Centric. | Wenhan Wu, Huanghuang Liang, Jingling Yuan, Jiawei Jiang, Kanye Ye Wang, Chuang Hu, Xiaobo Zhou, Dazhao Cheng |
| 2025 | Divide and Conquer: Coordinating Multiplex Mixture of Graph Learners to Handle Multi-Omics Analysis. | Zhihao Wu, Jielong Lu, Jiajun Yu, Sheng Zhou, Yueyang Pi, Haishuai Wang |
| 2025 | HLMTrans: A Sim-to-Real Transfer Framework for Spatial Crowdsourcing with Human-Guided Language Models. | Qingshun Wu, Yafei Li, Lulu Li, Yuanyuan Jin, Shuo He, Mingliang Xu |
| 2025 | Drafting and Revision: Advancing High-Fidelity Video Inpainting. | Zhiliang Wu, Kun Li, Hehe Fan, Yi Yang |
| 2025 | Explainable Graph Neural Networks via Structural Externalities. | Lijun Wu, Dong Hao, Zhiyi Fan |
| 2025 | Parameterized Approximation Algorithm for Doubly Constrained Fair Clustering. | Xiaoliang Wu, Qilong Feng, Junyu Huang, Jianxin Wang |
| 2025 | Imputation-free Incomplete Multi-view Clustering via Knowledge Distillation. | Benyu Wu, Wei Du, Jun Wang, Guoxian Yu |
| 2025 | Dual Encoder Contrastive Learning with Augmented Views for Graph Anomaly Detection. | Nannan Wu, Hongdou Dong, Wenjun Wang, Yiming Zhao |
| 2025 | ARMR: Adaptively Responsive Network for Medication Recommendation. | Feiyue Wu, Tianxing Wu, Shenqi Jing |
| 2025 | Quantifying the Self-Interest Level of Markov Social Dilemmas. | Richard Willis, Yali Du, Joel Z. Leibo, Michael Luck |
| 2025 | Learning Advanced Self-Attention for Linear Transformers in the Singular Value Domain. | Hyowon Wi, Jeongwhan Choi, Noseong Park |
| 2025 | Fast Second-Order Online Kernel Learning Through Incremental Matrix Sketching and Decomposition. | Dongxie Wen, Xiao Zhang, Zhewei Wei, Chenping Hou, Shuai Li, Weinan Zhang |
| 2025 | Let's Group: A Plug-and-Play SubGraph Learning Method for Memory-Efficient Spatio-Temporal Graph Modeling. | Wenchao Weng, Hanyu Jiang, Mei Wu, Xiao Han, Haidong Gao, Guojiang Shen, Xiangjie Kong |
| 2025 | MPPQ: Enhancing Post-Training Quantization for LLMs via Mixed Supervision, Proxy Rounding, and Pre-Searching. | Mingrun Wei, Yeyu Yan, Dong Wang |
| 2025 | Curriculum Abductive Learning for Mitigating Reasoning Shortcuts. | Wen-Da Wei, Xiao-Wen Yang, Jie-Jing Shao, Lan-Zhe Guo |