Boyu Chen

Boyu Chen

Undergraduate at Tsinghua University. Incoming PhD at MMLab@HKU (Fall 2026).

Boyu Chen Homepage

I am Boyu Chen (陈博俣), an undergraduate student at the Department of Automation, Tsinghua University.

I will be joining MMLab@HKU as a PhD student in Fall 2026, fortunately advised by Prof. Ping Luo, Prof. Hongyang Li, and Prof. Yi Ma.

🔭 Research Interests

My research interests lie at the intersection of Robotics, Vision-Language-Action (VLA) models, and World Models. I am particularly interested in building generalist agents that can perceive, reason, and act in the physical world.

💼 Experience

XPENG
Research Intern, XPENG, Shenzhen
Multimodal Intelligence Department, Robotics Center
Jul 2025 – Present · Supervised by Yuying Ge and Yixiao Ge

🎓 Education

Tsinghua University
B.Eng. in Automation
Department of Automation, Tsinghua University
Sep 2022 – Present · GPA 4.0 / 4.0 · Ranked 1 / 145

📝 Publications

Inside Fe₀: What Cross-Embodiment Data Teaches an Embodied Foundation Model

Inside Fe₀: What Cross-Embodiment Data Teaches an Embodied Foundation Model

Yizhuo Li*, Xiaoyu Zhang*, Yuying Ge*†, Teng Wang, Boyu Chen, Yi Chen, Bo Liu, Feng Qiu, Yuguo Gan, Hui Zhou, Yixiao Ge

*Co-first authors   †Project lead

Technical Blog, 2026

Built on UniT and scaled to large-scale heterogeneous data, Fe0 combines minimal in-domain teleoperation with open-loop and on-robot evaluation across L1–L5, revealing what cross-embodiment data transfers—and where it fails.

Project Page

UniT: Toward a Unified Physical Language for Human-to-Humanoid Policy Learning and World Modeling

UniT: Toward a Unified Physical Language for Human-to-Humanoid Policy Learning and World Modeling

Boyu Chen*, Yi Chen*, Lu Qiu, Jerry Bai, Yuying Ge†, Yixiao Ge

*Equal contribution   †Corresponding author

Preprint, 2026

UniT establishes a unified physical language — a single tokenizer that enables zero-shot human-to-humanoid transfer for both policy learning and world modeling.

Project Page · Paper · Code

🏆 Honors & Awards

  • National Scholarship (highest scholarship given by the government of China), Dec 2025
  • National Scholarship (highest scholarship given by the government of China), Dec 2024
  • Tsinghua University Comprehensive Excellence Scholarship (Top 10 / 145), Dec 2023
  • First Prize, National College Mathematics Competition (Non-Math Group A), Dec 2023
  • First Prize, National College Physics Competition (Non-Physics Group A), Dec 2023

📫 Contact

Feel free to reach out via email: boyuc448@gmail.com