Weakly-Supervised Reconstruction of 3D Objects with Large Shape Variation from Single In-the-Wild Images. - Shichen Sun; Zhengbang Zhu; Xiaowei Dai; Qijun Zhao; Jing Li 060 (ACCV (1), 2020)

SMARTS: An Open-Source Scalable Multi-Agent RL Training School for Autonomous Driving. - Ming Zhou 006; Jun Luo 009; Julian Villela; Yaodong Yang 002; David Rusu; Jiayu Miao; Weinan Zhang 001; Montgomery Alban; Iman Fadakar; Zheng Chen; Chongxi Huang; Ying Wen 001; et al. (CoRL, 2020)

Improved Data Augmentation of Deep Convolutional Neural Network for Pollen Grains Classification - Third Classified. - Penghui Gui; Ruowei Wang; Zhengbang Zhu; Feiyu Zhu 001; Qijun Zhao (ICPR Workshops (8), 2020)

SMARTS: Scalable Multi-Agent Reinforcement Learning Training School for Autonomous Driving. - Ming Zhou 006; Jun Luo 009; Julian Villela; Yaodong Yang 002; David Rusu; Jiayu Miao; Weinan Zhang 001; Montgomery Alban; Iman Fadakar; Zheng Chen; Aurora Chongxi Huang; Ying Wen 001; et al. (CoRR, 2020)

Plan Your Target and Learn Your Skills: Transferable State-Only Imitation Learning via Decoupled Policy Optimization. - Minghuan Liu; Zhengbang Zhu; Yuzheng Zhuang; Weinan Zhang 001; Jianye Hao; Yong Yu 001; Jun Wang 012 (ICML, 2022)

RITA: Boost Autonomous Driving Simulators with Realistic Interactive Traffic Flow. - Zhengbang Zhu; Shenyu Zhang; Yuzheng Zhuang; Yuecheng Liu; Minghuan Liu; Liyuan Mao; Ziqing Gong; Weinan Zhang 001; Shixiong Kai; Qiang Gu; Bin Wang 034; Siyuan Cheng 012; et al. (CoRR, 2022)

Planning Immediate Landmarks of Targets for Model-Free Skill Transfer across Agents. - Minghuan Liu; Zhengbang Zhu; Menghui Zhu; Yuzheng Zhuang; Weinan Zhang 001; Jianye Hao (CoRR, 2022)

RITA: Boost Driving Simulators with Realistic Interactive Traffic Flow. - Zhengbang Zhu; Shenyu Zhang; Yuzheng Zhuang; Yuecheng Liu; Minghuan Liu; Ziqing Gong; Shixiong Kai; Qiang Gu; Bin Wang 034; Siyuan Cheng 012; Xinyu Wang 001; Jianye Hao; et al. (DAI, 2023)

Diffusion Models for Reinforcement Learning: A Survey. - Zhengbang Zhu; Hanye Zhao; Haoran He; Yichao Zhong; Shenyu Zhang; Yong Yu 001; Weinan Zhang 001 (CoRR, 2023)

DiffStitch: Boosting Offline Reinforcement Learning with Diffusion-based Trajectory Stitching. - Guanghe Li; Yixiang Shan; Zhengbang Zhu; Ting Long; Weinan Zhang 001 (ICML, 2024)

MADiff: Offline Multi-agent Learning with Diffusion Models. - Zhengbang Zhu; Minghuan Liu; Liyuan Mao; Bingyi Kang; Minkai Xu; Yong Yu 001; Stefano Ermon; Weinan Zhang 001 (NeurIPS, 2024)

Contrastive Diffuser: Planning Towards High Return States via Contrastive Learning. - Yixiang Shan; Zhengbang Zhu; Ting Long; Qifan Liang; Yi Chang 001; Weinan Zhang 001; Liang Yin (CoRR, 2024)

Diffusion-based Dynamics Models for Long-Horizon Rollout in Offline Reinforcement Learning. - Hanye Zhao; Xiaoshen Han; Zhengbang Zhu; Minghuan Liu; Yong Yu 001; Weinan Zhang 001 (CoRR, 2024)

Understanding or Manipulation: Rethinking Online Performance Gains of Modern Recommender Systems. - Zhengbang Zhu; Rongjun Qin; Junjie Huang; Xinyi Dai; Yang Yu 001; Yong Yu 001; Weinan Zhang 001 (ACM Trans. Inf. Syst., 2024)

Reconstruction-Guided Policy: Enhancing Decision-Making through Agent-Wise State Consistency. - Qifan Liang; Yixiang Shan; Haipeng Liu; Zhengbang Zhu; Ting Long; Weinan Zhang 001; Yuan Tian 016 (ICLR, 2025)

ContraDiff: Planning Towards High Return States via Contrastive Learning. - Yixiang Shan; Zhengbang Zhu; Ting Long; Qifan Liang; Yi Chang 001; Weinan Zhang 001; Liang Yin (ICLR, 2025)

RHINO: Learning Real-Time Humanoid-Human-Object Interaction from Human Demonstrations. - Jingxiao Chen; Xinyao Li; Jiahang Cao; Zhengbang Zhu; Wentao Dong; Minghuan Liu; Ying Wen 001; Yong Yu 001; Liqing Zhang; Weinan Zhang 001 (CoRR, 2025)

DriveGen: Towards Infinite Diverse Traffic Scenarios with Large Models. - Shenyu Zhang; Jiaguo Tian; Zhengbang Zhu; Shan Huang; Jucheng Yang; Weinan Zhang 001 (CoRR, 2025)

RAD: Retrieval High-quality Demonstrations to Enhance Decision-making. - Lu Guo; Yixiang Shan; Zhengbang Zhu; Qifan Liang; Lichang Song; Ting Long; Weinan Zhang 001; Yi Chang 001 (CoRR, 2025)