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PhD Student
Stanford University
liyitang475@gmail.com



About Me

I am a first-year PhD student in Computer Science at Stanford University, working on robotics and embodied intelligence. Prior to Stanford, I received my B.E. from the Institute for Interdisciplinary Information Sciences (IIIS, Yao Class) at Tsinghua University, where I worked with Prof. Li Yi on character animation. During the Spring and Summer of 2025, I was a student intern at LeCAR Lab at Carnegie Mellon University, advised by Prof. Guanya Shi, where I worked on humanoid robot learning. Before university, I was a member of the Chinese national team for the Asian Physics Olympiad.

My primary research goal is to leverage large-scale human data to build generalizable robots capable of performing the full spectrum of human skills.

Beyond academics and research... I am outgoing and curious, always eager to meet interesting people😊 and through them discover new perspectives on the world around me🌟. I have often taken the stage as a host, performer, and student representative speaker 🎤🎭 at major university events, and have served as class monitor and seminar organizer, supporting and connecting with my peers 🙋‍♀️. In my free time, I love writing (mostly essays✍️), singing 🎶, dancing 💃, keeping fit 🏋️, and traveling ✈️.

Research Interests

News

Older news
  • [Dec. 2025] 🏆 Awarded the Presidential Scholarship of Tsinghua University (10 undergraduate recipients university-wide)
  • [Nov. 2025] Our paper BFM-Zero🛡️ is finally released🧘‍♂️! A unified skill space for zero-shot humanoid control across diverse🎨 tasks!
  • [Sep. 2025] Our paper HDMI is out🎬➡️🤖!
  • [Sep. 2025] I will be presenting Hold My Beer🍺 at CoRL 2025 in Seoul, South Korea!

Publications

  1. ICLR
    BFM-Zero: A Promptable Behavioral Foundation Model for Humanoid Control Using Unsupervised Reinforcement Learning
    Yitang Li*, Zhengyi Luo*, Tonghe Zhang$, Cunxi Dai$, Anssi Kanervisto, Andrea Tirinzoni, Haoyang Weng, Kris Kitani, Mateusz Guzek, Ahmed Touati, Alessandro Lazaric, Matteo Pirotta†, Guanya Shi† (* Equal Contribution; $ Equal Contribution; † Equal Advising)
    The International Conference on Learning Representations (ICLR), 2026.
    PDF Code 790 Project

  2. In submission
    I-BFM: Reward-Conditioned Robust Humanoid Interaction via Unsupervised Reinforcement Learning
    Ziqi Han*, Yitang Li*, Junhan Sun*, Fanrong Dong, Yaojie Shen, Lei Ye, Zetong Jing, Yongqi Zhang, Yiming Zhang, Xue Wang, Hao Zhao (* Equal Contribution; † Corresponding Author)
    In submission.
    PDF Project

  3. In submission
    PredActor: Predictive Action Diffusion for Steerable Onboard Humanoid Control
    Lei Ye, Haibo Gao, Yitang Li, Peng Xu, Zetong Jing, Junhan Sun, Fanrong Dong, Ziqi Han, Xue Wang, Jianhua Sun, Cewu Lu, Hao Zhao, Liang Ding
    In submission.
    PDF Code ... Project

  4. In submission
    UFO: A General Unsupervised Reinforcement Learning Framework for Humanoid Control
    Yitang Li*, Xue Wang*, Yaojie Shen, Zhihao Liu, Siqin Wang, Yiming Zhang, Haoyang Weng, Jia Li, Lei Ye, Yongqi Zhang, Ziqi Han, Hao Zhao (* Equal Contribution)
    In submission.
    PDF Code 278 Project

  5. In submission
    HDMI: Learning Interactive Humanoid Whole-Body Control from Human Videos
    Haoyang Weng, Yitang Li, Nikhil Sobanbabu, Zihan Wang, Zhengyi Luo, Tairan He, Deva Ramanan, Guanya Shi
    PDF Code 664 Project

  6. CoRL
    Hold My Beer🍻: Learning Gentle Humanoid Locomotion and End-Effector Stabilization Control
    Yitang Li, Yuanhang Zhang, Wenli Xiao, Chaoyi Pan, Haoyang Weng, Guanqi He, Tairan He, Guanya Shi
    Conference on Robot Learning (CoRL), 2025.
    PDF Code 147 Project

  1. CVPR
    Learning Physics-Based Full-Body Human Reaching and Grasping from Brief Walking References
    Yitang Li*, Mingxian Lin*, Zhuo Lin, Yipeng Deng, Yue Cao, Li Yi (Equal Contribution)
    IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2025.
    PDF Code ... Project

  2. ECCV
    FreeMotion: MoCap-Free Human Motion Synthesis with Multimodal Large Language Models
    Zhikai Zhang, Yitang Li, Haofeng Huang, Mingxian Lin, Li Yi
    European Conference on Computer Vision (ECCV), 2024.
    PDF Project

  1. In submission
    EmbRACE3K: Embodied Reasoning and Action in Complex Environments
    Mingxian Lin*, Wei Huang*, Yitang Li, Chengjie Jiang, Kui Wu, Fangwei Zhong, Shengju Qian, Xin Wang, Xiaojuan Qi
    PDF Code ... Project

  2. UAI
    MutualNeRF: Improve the Performance of NeRF under Limited Samples with Mutual Information Theory
    Zifan Wang*, Jingwei Li*, Yitang Li, Yunze Liu (Equal Contribution)
    The Conference on Uncertainty in Artificial Intelligence, 2025.
    PDF

Selected Awards


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