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
• Results of the NeurIPS 2023 Neural MMO Competition on Multi-task Reinforcement Learning
  Joseph Suárez, Kyoung Whan Choe, David Bloomin, Jianming Gao, Yunkun Li, Yao Feng, Saidinesh Pola, Kun Zhang, Yonghui Zhu, Nikhil Pinnaparaju, Hao Xiang Li, Nishaanth Kanna, Daniel Scott, Ryan Sullivan, Rose S. Shuman, Lucas de Alcântara, Herbie Bradley, Kirsty You, Bo Wu, Yuhao Jiang, Qimai Li, Jiaxin Chen, Louis Castricato, Xiaolong Zhu, Phillip Isola
  arxiv, 2025

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)