Yao Feng Ph.D. student Address: Room 1-509, FIT Building Tsinghua University, Beijing, China 100084 Contact: Email: y-feng23@mails.tsinghua.edu.cn LinkedIn | Google Scholar | Github

Biography

I am a Ph.D. candidate in the Tsinghua SAIL Group, Department of Computer Science and Technology, Tsinghua University, supervised by Prof. Jun Zhu.

Education:

• M.S. in Computer Science, Carnegie Mellon University (May 2022)
• B.S. in Mathematics and Physics, Tsinghua University (June 2020)
• B.S. in Economics, Tsinghua University (June 2020)

Research Interests:

• Machine Learning
• Robotics
• Reinforcement Learning
• Diffusion Models

Selected Awards

• China National Scholarship
• Meritorious Winner in Mathematical Contest in Modeling
• First Prize in the final of Chinese Mathematics Competitions (Ranked 28th in China)
• Champion in Neural MMO Challenge (NeurIPS 2023)
• Stars of Tomorrow in Microsoft Research Asia
• Qisun Ye Award (Highest Undergraduate Honor, Department of Physics, Tsinghua University)
• Champion in the Optiver Clash of the Solvers Challenge
• Five-star Redbud Volunteer of Tsinghua University

Publications

• Vidar: Embodied Video Diffusion Model for Generalist Bimanual Manipulation
  Yao Feng*, Hengkai Tan*, Xinyi Mao, Guodong Liu, Shuhe Huang, Chendong Xiang, Hang Su, Jun Zhu
  In Submission
• AnyPos: Automated Task-Agnostic Actions for Bimanual Manipulation
  Hengkai Tan*, Yao Feng*, Xinyi Mao*, Shuhe Huang, Guodong Liu, Zhongkai Hao, Hang Su, Jun Zhu
  In Submission
• Self-Consistent Model-based Adaptation for Visual Reinforcement Learning
  Xinning Zhou, Chengyang Ying, Yao Feng, Hang Su, Jun Zhu
  IJCAI, 2025
• Adaptive Shielding via Parametric Safety Proofs
  Yao Feng, Jun Zhu, André Platzer, Jonathan Laurent
  OOPSLA, 2025
• Physics-Informed Machine Learning: A Survey on Problems, Methods and Applications
  Zhongkai Hao, Songming Liu, Yichi Zhang, Chengyang Ying, Yao Feng, Hang Su, Jun Zhu
  arxiv, 2022
• Model-based Reinforcement Learning with a Hamiltonian Canonical ODE Network
  Yao Feng, Yuhong Jiang, Hang Su, Dong Yan, Jun Zhu
  arxiv, 2022
• Min-max Optimization without Gradients: Convergence and Applications to Black-box Evasion and Poisoning Attacks
  Sijia Liu*, Songtao Lu*, Xiangyi Chen*, Yao Feng*, Kaidi Xu*, Abdullah Al-Dujaili*, Mingyi Hong, Una-May O'Reilly
  ICML, 2020
• Capacitance Extraction and Power Grid Analysis Using Statistical and AI Methods
  Wenjian Yu, Ming Yang, Yao Feng, Ganqu Cui, Ben Gu
  ASP-DAC, 2020

Teaching

• 2023 Spring, TA in Statistical Learning Theory and Applications, Tsinghua University (Instructor: Jun Zhu)
• 2021 Spring, TA in Statistical Machine Learning, Tsinghua University (Instructor: Hang Su)