I am a fourth-year PhD student in the Department of Computer Science and Engineering at Shanghai Jiao Tong University, under the supervision of Prof. Weinan Zhang and Prof. Yong Yu. I completed my bachelor’s degree at Sichuan University in 2021. My research interests lie in imitation learning, reinforcement learning, and their applications in robotics. Since October 2024, I have been a visiting scholar in Prof. Lin Shao’s Lab at National University of Singapore.

Selected Publications (Full list can be found here)

MADiff: Offline Multi-agent Learning with Diffusion Models
Zhengbang Zhu, Minghuan Liu, Liyuan Mao, Bingyi Kang, Minkai Xu, Yong Yu, Stefano Ermon, Weinan Zhang.
NeurIPS 2024. [paper] [code]

RITA: Boost Driving Simulators with Realistic Interactive Traffic Flow
Zhengbang Zhu*, Shenyu Zhang*, Yuzheng Zhuang*, Yuecheng Liu, Minghuan Liu, Liyuan Mao, Ziqing Gong, Shixiong Kai, Qiang Gu, Bin Wang, Siyuan Cheng, Xinyu Wang, Jianye Hao, Yong Yu.
DAI 2023. (Best Student Paper Award). [paper]

Understanding or Manipulation: Rethinking Online Performance Gains of Modern Recommender Systems
Zhengbang Zhu, Rongjun Qin, Junjie Huang, Xinyi Dai, Yang Yu, Yong Yu, Weinan Zhang.
ACM Transactions on Information Systems (TOIS) 2024. [paper]

Contrastive Diffuser: Planning Towards High Return States via Contrastive Learning
Yixiang Shan, Zhengbang Zhu, Ting Long, Qifan Liang, Yi Chang, Weinan Zhang, Liang Yin.
ICLR 2025. [paper]

Plan Your Target and Learn Your Skills: Transferable State-Only Imitation Learning via Decoupled Policy Optimization
Minghuan Liu, Zhengbang Zhu, Yuzheng Zhuang, Weinan Zhang, Jianye Hao, Yong Yu, Jun Wang.
ICML 2022. [paper] [code] [project]

Services

• Reviewer for ICML 2024, NeurIPS 2024 (Top Reviewer), ICLR 2025, ICRA 2025
• Reviewer for TPAMI, TMLR, TETCI