Paper 'Accelerating Visual-Policy Learning through Parallel Differentiable Simulation' accepted to NeurIPS 2025 as a Spotlight paper; preprint 'Is Bellman Equation Enough for Learning Control?'
Research Experience
Worked with Professors Michael Posa and Pratik Chaudhari at the University of Pennsylvania.
Education
Bachelor's degree from Ningbo University; Master's degree from the University of Pennsylvania, where he received the Outstanding Academic Award and worked with Professors Michael Posa and Pratik Chaudhari; Ph.D. student in the Department of Mechanical Engineering at Yale University, advised by Professor Ian Abraham.
Background
Broadly interested in robotics, machine learning, control theory, and optimization. Currently, the research focuses on developing computationally efficient algorithms for robot learning.
Miscellany
Enjoys playing computer games, DIY projects, and cooking outside of research.