I am an Assistant Professor at the Institute for Interdisciplinary Information Sciences (IIIS), Tsinghua University. My research combines physics simulation, machine learning, and numerical optimization techniques to solve real-world inverse dynamics problems. Some of my recent research topics are building differentiable simulation platforms for graphics and robotics research, developing computational design pipelines for real-world robots, and understanding simulation-to-reality transfer of dynamic systems.
Before joining Tsinghua, I was a Postdoctoral Associate at MIT CSAIL, advised by Wojciech Matusik and Daniela Rus. I completed my Ph.D. in Computer Science (2021) at MIT under the supervision of Wojciech Matusik. I obtained my Master's in Computer Science (2015) from Stanford University and my Bachelor's in Computer Software (2013) from Tsinghua University.
To prospective students: I am actively looking for students to work on topics in computer graphics, machine learning, and robotics. Students with relevant backgrounds in math, physics, and computer science are all welcome to contact me. Please feel free to drop me an email if you are interested.
08/2022: One paper is accepted to SIGGRAPH Asia 2022.
07/2022: Recognized by ICML 2022 as an Outstanding Reviewer.
07/2022: Two papers are accepted to IROS 2022.
(* indicates equal contributions)
The Power of Gradients in Inverse Dynamics Problems
A summary of our recent works on inverse dynamics problems.
Journal paper reviewer: TOG, T-RO, RA-L
Conference paper reviewer: SIGGRAPH, SIGGRAPH Asia, PG, NeurIPS (Outstanding Reviewer), ICLR, ICML (Outstanding Reviewer), RSS, ICRA, IROS