CV
๐ Education

B.Eng. in Automation
Department of Automation, Tsinghua University
Sep 2022 โ Present ยท GPA 4.0 / 4.0 ยท Ranked 1 / 145
Ph.D. in Computer Science (incoming, Sep 2026)
MMLab, The University of Hong Kong
Advisors: Prof. Ping Luo, Prof. Shenghua Gao, Prof. Yi Ma
๐ผ Experience

Research Intern, XPENG, Shenzhen
Multimodal Intelligence Department, Robotics Center
Jul 2025 โ Present ยท Supervised by Yuying Ge and Yixiao Ge
๐ญ Research Interests
- Robotics
- Vision-Language-Action (VLA) Models
- World Models
๐ 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
๐ Publications
Qize Yu, Lianrui Fan, Boyu Chen, Jiaqi Liang, Xini Ding, Yue Chen, Zetian Song, Yuran Wang, Yi Zou, Kaixuan Wang, Tianxing Chen, Wenxuan Song, Bohan Zhou, Mingleyang Li, Siqiao Huang, Yuqi Ye, Caigao Jiang, Wei Wei, Ruihai Wu, Hang Zhang, Yixiao Ge, Shuchang Zhou, Shilong Liu, Xianming Liu, Ping Luo, Shiyu Huang. "GroundingPI: A Grounding Foundation Model towards Physical Intelligence with Visual Primitives." arXiv preprint arXiv:2609.39601, 2026.
Cheng Chen, Jerry Bai, Jiacheng Wei, Boyu Chen, Xiaoji Zheng, Fan Wu, Minghao Yang, Tianrun Chen, Ruibo Li, Xiaoyu Yue, Xiaoyang Guo, Yixiao Ge, Guosheng Lin, and Fayao Liu. "AnyWorld: Factorized Egocentric World Models for Cross-Embodiment Generalization." arXiv preprint arXiv:2608.29242, 2026.
Yizhuo Li, Xiaoyu Zhang, Yuying Ge, Teng Wang, Boyu Chen, Yi Chen, Bo Liu, Feng Qiu, Jiacheng Wei, Yuguo Gan, Hui Zhou, Yixiao Ge. "Inside Fe0: What Cross-Embodiment Data Teaches an Embodied Foundation Model." XPENG Robotics Blog, 2026.
Boyu Chen, Yi Chen, Lu Qiu, Jerry Bai, Yuying Ge, and Yixiao Ge. "UniT: Toward a Unified Physical Language for Human-to-Humanoid Policy Learning and World Modeling." arXiv preprint arXiv:2604.19734, 2026.