Fangyuan Zhou | 周方圆

Ph.D. in Computer Science and Technology | Shanghai Jiao Tong University

[email protected] Shanghai, China GitHub X Google Scholar OpenReview Blog
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About Me

I am a Ph.D. student in Computer Science and Technology at Shanghai Jiao Tong University, working in the MVIG Group under the supervision of Professor Cewu Lu. I received my B.S. in Artificial Intelligence from SJTU in 2026. My research interests lie in Embodied AI, with a focus on robot learning and learning from interaction.

Education

Ph.D. in Computer Science and Technology

2026–Present

Shanghai Jiao Tong University, Shanghai, China

B.S. in Artificial Intelligence

2022–2026

Shanghai Jiao Tong University, Shanghai, China

  • GPA: 4.12/4.3
  • Ranking: 1/99

Research Experience

Research Assistant

2023–Present

MVIG Group, Shanghai Jiao Tong University

Supervised by Professor Cewu Lu

RoboPocket: Improve Robot Policies Instantly with Your Phone
Accepted to CoRL 2026
Project · Code · arXiv · Google Scholar
Authors: Junjie Fang*, Wendi Chen*, Han Xue*, Fangyuan Zhou*, Tian Le, Yi Wang, Yuting Zhang, Jun Lv, Chuan Wen, Cewu Lu
* indicates equal contribution
ImplicitRDP: An End-to-End Visual-Force Diffusion Policy with Structural Slow-Fast Learning
Accepted by IEEE Robotics and Automation Letters (RA-L), 2026
Project · Code · arXiv · Google Scholar
Authors: Wendi Chen, Han Xue, Yi Wang, Fangyuan Zhou, Jun Lv, Yang Jin, Shirun Tang, Chuan Wen, Cewu Lu
DeformPAM: Data-Efficient Learning for Long-horizon Deformable Object Manipulation via Preference-based Action Alignment
Accepted to ICRA 2025
Project · Code · arXiv · Google Scholar
Authors: Wendi Chen*, Han Xue*, Fangyuan Zhou, Yuan Fang, Cewu Lu
* indicates equal contribution

Honors & Awards

National Scholarship

2023–2024

Ministry of Education

Merit Student

2022–2024

Shanghai Jiao Tong University (Multiple Years)

Representative of the School Congress

2024

Shanghai Jiao Tong University

Academic Service

Reviewer

IEEE Transactions on Robotics (T-RO)

Reviewer

IEEE International Conference on Robotics and Automation (ICRA)

Technical Skills

Programming Languages

Python, C++, C#, CUDA, etc.

Frameworks & Libraries

PyTorch, Jittor, Unity, ROS, Blender, etc.

Development Tools

Git, Linux, LaTeX, Docker, etc.

Hardware Development

Embedded systems (STM32, ESP32, nRF54L series), Circuit design, PCB design, etc.

© 2026 Fangyuan Zhou. All rights reserved.