Xiong-Hui Chen

P.hD. Student, LAMDA Group
Department of Computer Science and Technology
National Key Laboratory for Novel Software Technology Nanjing University
Supervisor: Prof. Yang Yu
Email: xiong-hui.chenn [at] outlook.com or chenxh [at] lamda.nju.edu.cn

[ Google scholar ] [ DBLP ] [ Research gate ] [ Github ] [ Twitter ] [ Zhihu ] [ LinkedIn ] [ Code Space of LAMDA-RL Group ]

Currently, I am a fourth-year PhD student of School of Artificial Intelligence in Nanjing University under the supervision of Prof. Yang Yu and also a member of LAMDA Group, which is led by Prof. Zhi-Hua Zhou. Before my PhD research, I received my B.Sc. degree in Department of Software Engineering in 2018 from Southeast University . In September 2018, I was admitted to study for a M.Sc. degree in Nanjing University under the supervision of Prof. Yang Yu without entrance examination. From September 2020, I started studying for PhD degree under the supervision of Prof. Yang Yu. From October 2023, I started visiting in UK under the supervision of Prof. Yali Du at Kings College London and Prof. Jun Wang at University College London.

Research interest: I am interested in handling challenges of Reinforcement Learning (RL) in real-world applications. In particular, I focus my research topics on sim2real transfer, offline RL, causal inference for RL, and real-world environment reconstruction. I am also working to develop RL policies for autonomous driving, recommender systems, robotics and industrial control systems. Currently, my research topic also focuses on large language models for decision-making and train large decision-making models.

OPEN to job/research/startup opportunities. Please feel free to contact me if you would like to receive my detailed CV.

News

Dec 24, 2024 I will host a seminar about “embodied AI for robotics” at 集智俱乐部, welcome to join us [link].
Dec 21, 2024 Invited talk about “基于强化学习的可泛化大模型策略求解方法的近期进展” at Amazon Cloud, Beijing.
Sep 29, 2024 Invited talk about “Recent Studies on Causal Reinforcement Learning” at 集智俱乐部. [ slides ].
Sep 28, 2024 Two Papers are accepted by NeurIPS 2024! [ Policy Learning from Books (Oral), Knowledgeable Agents from Language Model Rollouts (Poster)]
Jul 29, 2024 Invited talk about “Recent Studies on LLMs for Decision Making and Decision-making Foundation Models” at Gatsby Computational Neuroscience Unit.
Jul 11, 2024 Invited talk about “Generlizable Context-based Decision-Making” at ByteDance. [ slides ].

Selected publications

* indicates equal contribution
    1. NeurIPS
      Policy Learning from Tutorial Books via Understanding, Rehearsing and Introspecting (Oral)
      [ Link Website Zhihu ]
      Xiong-Hui Chen , Ziyan Wang, Yali Du, Shengyi Jiang, Meng Fang, Yang Yu, and Jun Wang.
      In Advances in Neural Information Processing Systems 37. 2024.
    2. ICML
      Deep Demonstration Tracing: Learning Generalizable Imitator Policy for Runtime Imitation from a Single Demonstration
      [ Link Code Website ]
      Xiong-Hui Chen , Junyin Ye, Hang Zhao, Yi-Chen Li, Xu-Hui Liu, Haoran Shi, Yu-Yan Xu, Zhihao Ye, Si-Hang Yang, Anqi Huang, Kai Xu, Zongzhang Zhang, and Yang Yu.
      In The 41st International Conference on Machine Learning. 2024.
    3. NeurIPS
      Adversarial Counterfactual Environment Model Learning (Spotlight)
      [ Link Code ]
      Xiong-Hui Chen , Yang Yu, Zheng-Mao Zhu, Zhihua Yu, Zhenjun Chen, Chenghe Wang, Yinan Wu, Hongqiu Wu, Rong-Jun Qin, Ruijin Ding, and Fangsheng Huang.
      In Advances in Neural Information Processing Systems 36. 2023.
    4. NeurIPS
      Cross-modal Domain Adaptation for Cost-Efficient Visual Reinforcement Learning
      [ Link Code ]
      Xiong-Hui Chen , Shengyi Jiang, Feng Xu, Zongzhang Zhang, and Yang Yu.
      In Advances in Neural Information Processing Systems 34. 2021.
    5. NeurIPS
      Offline Model-based Adaptable Policy Learning
      [ Link Code ]
      Xiong-Hui Chen , Yang Yu, Qingyang Li, Fan-Ming Luo, Zhiwei (Tony) Qin, Wenjie Shang, and Jieping Ye.
      In Advances in Neural Information Processing Systems 34. 2021.


    Correspondence


    Laboratory: Computer Science Building, Xianlin Campus of Nanjing University

    Address: Xiong-Hui Chen, National Key Laboratory for Novel Software Technology, Nanjing University, Xianlin Campus Mailbox 603, 163 Xianlin Avenue, Qixia District, Nanjing 210023, China.
    南京市栖霞区仙林大道163号, 南京大学仙林校区603信箱, 软件新技术国家重点实验室, 210023.