Ding, Wenbo

14 publications

TMLR 2025 Enhancing Parameter Efficiency and Generalization in Large Models: A Regularized and Masked Low-Rank Adaptation Approach Yuzhu Mao, Zihao Zhao, Siqi Ping, Yang Liu, Wenbo Ding

ICLRW 2025 Inherent Exploration via Sampling for Stochastic Policies Zhenpeng Shi, Chi Xu, Huaze Tang, Wenbo Ding

CoRL 2025 Mastering Multi-Drone Volleyball Through Hierarchical Co-Self-Play Reinforcement Learning Ruize Zhang, Sirui Xiang, Zelai Xu, Feng Gao, Shilong Ji, Wenhao Tang, Wenbo Ding, Chao Yu, Yu Wang

ICLR 2025 Residual Kernel Policy Network: Enhancing Stability and Robustness in RKHS-Based Reinforcement Learning Yixian Zhang, Huaze Tang, Huijing Lin, Wenbo Ding

NeurIPS 2025 Universal Visuo-Tactile Video Understanding for Embodied Interaction Yifan Xie, Mingyang Li, Shoujie Li, Xingting Li, Guangyu Chen, Fei Ma, Fei Yu, Wenbo Ding

NeurIPS 2025 VolleyBots: A Testbed for Multi-Drone Volleyball Game Combining Motion Control and Strategic Play Zelai Xu, Ruize Zhang, Chao Yu, Huining Yuan, Xiangmin Yi, Shilong Ji, Chuqi Wang, Wenhao Tang, Feng Gao, Wenbo Ding, Xinlei Chen, Yu Wang

AAAI 2025 pFedGPA: Diffusion-Based Generative Parameter Aggregation for Personalized Federated Learning Jiahao Lai, Jiaqi Li, Jian Xu, Yanru Wu, Boshi Tang, Siqi Chen, Yongfeng Huang, Wenbo Ding, Yang Li

ICMLW 2024 Adaptive Two-Level Quasi-Monte Carlo for Soft Actor-Critic Du Ouyang, Zhenpeng Shi, Aodong Guo, Huaze Tang, Hejin Wang, Chao Wang, Wenbo Ding

AAAI 2024 CoSTA: End-to-End Comprehensive Space-Time Entanglement for Spatio-Temporal Video Grounding Yaoyuan Liang, Xiao Liang, Yansong Tang, Zhao Yang, Ziran Li, Jingang Wang, Wenbo Ding, Shao-Lun Huang

CPAL 2024 Deep Leakage from Model in Federated Learning Zihao Zhao, Mengen Luo, Wenbo Ding

ICLRW 2024 FL-TAC: Enhanced Fine-Tuning in Federated Learning via Low-Rank, Task-Specific Adapter Clustering Siqi Ping, Yuzhu Mao, Yang Liu, Xiao-Ping Zhang, Wenbo Ding

NeurIPS 2023 Every Parameter Matters: Ensuring the Convergence of Federated Learning with Dynamic Heterogeneous Models Reduction Hanhan Zhou, Tian Lan, Guru Prasadh Venkataramani, Wenbo Ding

CVPR 2023 Understanding the Robustness of 3D Object Detection with Bird's-Eye-View Representations in Autonomous Driving Zijian Zhu, Yichi Zhang, Hai Chen, Yinpeng Dong, Shu Zhao, Wenbo Ding, Jiachen Zhong, Shibao Zheng

NeurIPSW 2022 Federated Learning with Online Adaptive Heterogeneous Local Models Hanhan Zhou, Tian Lan, Guru Prasadh Venkataramani, Wenbo Ding