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.

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, RSS 2025, IROS 2025
• Reviewer for TPAMI, TMLR, TETCI