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Bohan Zhou | 周伯涵

🐧I'm currently a master student (Sep 2023 - Jun 2026) in the School of Computer Science of PKU, supervised by Zongqing Lu. My current research focuses on reinforcement learning, multimodal learning, robotics and generalizable agent. Feel free to drop me a email to discuss or share wonderful ideas!


🆕 News

Sep 19, 2025 MEgoHand is accepted by NeurIPS 2025, focusing on hand-object interaction motion generation! ✨
Jun 16, 2025 NOLO is accepted by IROS 2025 (oral), focusing on offline RGB video navigation! ✨
May 01, 2025 Cradle v2.0 is accepted by ICML 2025 (Cradle v1.0 is accepted by ICLR 2024 Workshop and NeurIPS 2024 Workshop),
focusing on general computer control (LMMagent)! ✨
Jan 22, 2025 CrossDex is accepted by ICLR 2025, focusing on cross-embodiment dexterous grasping! ✨
Jan 20, 2025 AERO is accepted by WWW 2025, focusing on reinforcement learning for blockchain! ✨
Jul 01, 2024 UniCode is accepted by ECCV 2024, focusing on general multimodal representation! ✨
Jul 01, 2024 PVDR is accepted by ECCV 2024, focusing on pre-trained representation for policy learning! ✨
Sep 22, 2023 STG is accepted by NeurIPS 2023, focusing on learning from visual observations! ✨
Mar 04, 2023 GFIE is accepted by CVPR 2023, focusing on human-object interaction (benchmark)! ✨

📄 Main Publications

  1. MEgoHand: Multimodal Egocentric Hand-Object Interaction Motion Generation
    Bohan Zhou, Yi Zhan, Zhongbin Zhang, Zongqing Lu
    NeurIPS 2025

  2. NOLO: Navigate Only Look Once
    Bohan Zhou, Zhongbin Zhang, Jiangxing Wang, Zongqing Lu
    IROS 2025 oral

  3. Cradle: Empowering Foundation Agents towards General Computer Control
    Weihao Tan, Wentao Zhang, Xinrun Xu, Haochong Xia, Ziluo Ding, Boyu Li, Bohan Zhou, Junpeng Yue, Jiechuan Jiang, Yewen Li, Ruyi An, Molei Qin, Chuqiao Zong, Longtao Zheng, YuJie Wu, Xiaoqiang Chai, Yifei Bi, Tianbao Xie, Pengjie Gu, Xiyun Li, Ceyao Zhang, Long Tian, Chaojie Wang, Xinrun Wang, Börje F. Karlsson, Bo An, Shuicheng Yan, Zongqing Lu
    ICML 2025

  4. Cross-Embodiment Dexterous Grasping with Reinforcement Learning
    Haoqi Yuan, Bohan Zhou, Yuhui Fu, Zongqing Lu
    ICLR 2025

  5. AERO: Enhancing Sharding Blockchain via Deep Reinforcement Learning for Account Migration
    Mingxuan Song, Pengze Li, Bohan Zhou, Shenglin Yin, Zhen Xiao, Jieyi Long
    WWW 2025

  6. UniCode: Learning a Unified Codebook for Multimodal Large Language Models
    Sipeng Zheng, Bohan Zhou, Yicheng Feng, Zongqing Lu
    ECCV 2024

  7. Pre-trained Visual Dynamics Representations for Efficient Policy Learning
    Hao Luo, Bohan Zhou, Zongqing Lu
    ECCV 2024

  8. Towards General Computer Control: A Multi Modal Agent For Red Dead Redemption II As A Case Study
    Weihao Tan, Ziluo Ding, Wentao Zhang, Boyu Li, Bohan Zhou, Junpeng Yue, Haochong Xia, Jiechuan Jiang, Longtao Zheng, Xinrun Xu, Yifei Bi, Pengjie Gu, Xinrun Wang, Börje F. Karlsson, Bo An, Zongqing Lu
    ICLR 2024 Workshop

  9. Learning from Visual Observation via Offline Pretrained State-to-Go Transformer
    Bohan Zhou, Ke Li, Jiechuan Jiang, Zongqing Lu
    NeurIPS 2023

  10. GFIE: A Dataset and Baseline for Gaze-Following from 2D to 3D in Indoor Environments
    Zhengxi Hu, Yuxue Yang, Xiaolin Zhai, Dingye Yang, Bohan Zhou, Jingtai Liu
    CVPR 2023

  11. Gaze Target Estimation Inspired by Interactive Attention
    Zhengxi Hu , Kunxu Zhao , Bohan Zhou, Hang Guo , Shichao Wu , Yuxue Yang, Jingtai Liu
    TCSVT 2022

💼 Internship Experience


Beijing Academy of Artificial Intelligence (BAAI) - Multimodal Interaction Research Center
Research Intern (2022.12 - 2025.04).


Learning Diverse Bimanual Dexterous Manipulation Skills from Human Demonstrations
Bohan Zhou, Haoqi Yuan, Yuhui Fu, Zongqing Lu
Arxiv 2024

Being-0: A Humanoid Robotic Agent with Vision-Language Models and Modular Skills
Haoqi Yuan, Yu Bai, Yuhui Fu, Bohan Zhou, Yicheng Feng, Xinrun Xu, Yi Zhan, Börje F. Karlsson, Zongqing Lu
Arxiv 2025

🎓 Education


School of Computer Science, Peking University
M.E. of Applied Technology in Computer Science, Peking University (2023.09 - 2026.06).
Advisor: Prof. Zongqing Lu.

School of Artificial Intelligence, Nankai University
B.E. of Intelligence Science and Technology, Nankai University (2019.09 - 2023.06).
Advisor: Prof. Jingtai Liu.


👨‍🏫 Academic Services

  • Teaching Assistant:
      Introduction to Computing, 2025 Autumn. (by Prof. Rui Gan of Peking University Mathematics Department).
  • Reviewer:
    • Conference: ICLR 2025, ICML 2025

👥 Co-authors & Buddies

Some of my co-authors: Mingxuan Song (Peking University), Haoqi Yuan (Peking University).
Some of the buddies in our Lab: Zongqing Lu.

🌏 Location:

Peking University (PKU), Beijing