Researcher at Qwen Team.
Joint Postdoc at PKU and Alibaba
Ph.D. in LAMDA Group, Nanjing University
Supervisor: Prof. Yang Yu
Email: xiong-hui.chenn [at] outlook.com, chenxh [at] lamda.nju.edu.cn, xionghui.cxh@alibaba-inc.com
The Qwen Team is hiring! We are looking for researchers and engineers who are passionate about developing (1) Next-Gen Robotics Foundation Model; (2) More efficient RL algorithms/infra. If you are interested in exploring this opportunity with us, please email xionghui.cxh [at] alibaba-inc.com.
[ Google scholar ] [ DBLP ] [ Research gate ] [ Github ] [ Twitter ] [ Zhihu ] [ LinkedIn ]
I obtained my Ph.D. degree from Nanjing University, under the supervision of Prof. Yang Yu, and as a member of the LAMDA Group, led by Prof. Zhi-Hua Zhou.
Before my doctoral studies, I received my B.Sc. degree in Software Engineering from Southeast University in 2018. In September 2018, I was admitted to pursue an M.Sc. degree at Nanjing University under the supervision of Prof. Yang Yu. I continued my research as a Ph.D. student from September 2020.
From October 2023, I have been a visiting researcher in the UK, working with Prof. Yali Du at King’s College London and Prof. Jun Wang at University College London.
Research Interests:
My research focuses on addressing challenges in applying Reinforcement Learning (RL) to real-world problems. In particular, I am interested in sim-to-real transfer, offline RL, causal inference for RL, and real-world environment reconstruction. I also work on developing RL policies for applications such as autonomous driving, recommender systems, robotics, and industrial control systems. More recently, my research has expanded to large-scale foundation model training.
News
| Jul 4, 2026 |
Our Qwen-Robot Suite is now public, introducing a family of embodied foundation models for robotic manipulation, navigation, and world modeling.
|
| Sep 28, 2025 |
Our Paper is accepted by NeurIPS 2024! [ 20/80 Rules in LLMs].
|
| Jan 24, 2025 |
One Paper is accepted by ICLR 2025 Oral! (AFlow: Automating Agentic Workflow Generation)
|
| 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 ].
|
Selected publications
* indicates equal contribution; † indicates corresponding author; § indicates project lead.
-
Qwen-RobotManip Technical Report: Alignment Unlocks Scale for Robotic Manipulation Foundation Models
[
Link
Code
Website
]
Haoqi Yuan,
Zhixuan Liang,
Anzhe Chen,
Ye Wang,
Haoyang Li,
Pei Lin,
Yiyang Huang,
Zixing Lei,
Tong Zhang,
Jiazhao Zhang,
Jie Zhang,
Jingyang Fan,
Gengze Zhou,
Qihang Peng,
Chenxu Lv,
Xiaoyue Chen,
An Yang,
Fei Huang,
Junyang Lin,
Dayiheng Liu,
Jingren Zhou,
Chenfei Wu,
and
Xiong-Hui Chen†§
.
In ArXiv.
2026.
-
Qwen-RobotNav Technical Report: A Scalable Navigation Model Designed for an Agentic Navigation System
[
Link
Code
Website
]
Jiazhao Zhang,
Gengze Zhou,
Hale Yin,
Yiyang Huang,
Zixing Lei,
Qihang Peng,
Haoqi Yuan,
Jie Zhang,
Xudong Guo,
Xiaoyue Chen,
An Yang,
Fei Huang,
Zhibo Yang,
Junyang Lin,
Dayiheng Liu,
Jingren Zhou,
Zhuoyuan Yu,
Jingyang Fan,
Zhixuan Liang,
Pei Lin,
Ye Wang,
Haoyang Li,
Anzhe Chen,
Kun Yan,
Xiao Xu,
Jiahao Li,
Lulu Hu,
Minying Zhang,
Shurui Li,
Wenhu Xiao,
Shuai Bai,
Xuancheng Ren,
Chenxu Lv,
Chenfei Wu,
and
Xiong-Hui Chen†§
.
In ArXiv.
2026.
-
Qwen-RobotWorld Technical Report: Unifying Embodied World Modeling through Language-Conditioned Video Generation
[
Link
Website
]
Jie Zhang,
Xiaoyue Chen,
Anzhe Chen,
Dayiheng Liu,
Deqing Li,
Gengze Zhou,
Hale Yin,
Haoqi Yuan,
Haoyang Li,
Jiahao Li,
Jiazhao Zhang,
Jingren Zhou,
Kaiyuan Gao,
Kun Yan,
Lihan Jiang,
Ningyuan Tang,
Pei Lin,
Qihang Peng,
Shengming Yin,
Tianhe Wu,
Tianyi Yan,
Xiao Xu,
Yan Shu,
Yanran Zhang,
Ye Wang,
Yi Wang,
Yilei Chen,
Yixian Xu,
Yiyang Huang,
Yuxiang Chen,
Zekai Zhang,
Zhendong Wang,
Zixing Lei,
Zhixuan Liang,
Zihao Liu,
Zikai Zhou,
Chenxu Lv,
Xiong-Hui Chen†,
and Chenfei Wu.
In ArXiv.
2026.
-
Group Sequence Policy Optimization
[
Link
]
Chujie Zheng,
Shixuan Liu,
Mingze Li,
Xiong-Hui Chen,
Bowen Yu,
Chang Gao,
Kai Dang,
Yuqiong Liu,
Rui Men,
An Yang,
Jingren Zhou,
and Junyang Lin.
In ArXiv.
2025.
-
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.
-
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.
-
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.
-
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.
-
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.
