Scholar
Yao Feng
Google Scholar ID: W2lzq5MAAAAJ
Tsinghua University
Citations & Impact
Citations
357
H-index
2
i10-index
2
Publications
9
Co-authors
26
list available
Publications
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
- Published several papers, including 'Self-Consistent Model-based Adaptation for Visual Reinforcement Learning' (IJCAI, 2025) and 'Adaptive Shielding via Parametric Safety Proofs' (OOPSLA, 2025). Won multiple awards, such as 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), etc.
Research Experience
- TA in Statistical Learning Theory and Applications at Tsinghua University (Spring 2023, Instructor: Jun Zhu); TA in Statistical Machine Learning at Tsinghua University (Spring 2021, Instructor: Hang Su). Participated in research projects such as Vidar: Embodied Video Diffusion Model for Generalist Bimanual Manipulation.
Education
- M.S. in Computer Science from Carnegie Mellon University (May 2022); B.S. in Mathematics and Physics, B.S. in Economics from Tsinghua University (June 2020), supervised by Prof. Jun Zhu.
Background
- Research Interests: Machine Learning, Robotics, Reinforcement Learning, Diffusion Models. Ph.D. candidate in the Department of Computer Science and Technology at Tsinghua University, supervised by Prof. Jun Zhu.
Miscellany
- Has accounts on GitHub, LinkedIn, and Google Scholar.
