About

Current Research

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I am an M.S. student in Computer Science and Engineering at UC San Diego, advised by Xiaolong Wang.

I build real-world learning systems for contact-rich dexterous manipulation. My work captures fine-grained human hand-object interaction, uses human demonstrations as motion and exploration priors for reinforcement learning, and learns precise contact from teleoperated robot data.

Robotics depends on understanding and controlling contact. My long-term goal is to build a general model for contact-aware, low-level robot control.

Research Experience

Across these roles, my focus progressed from representing human motion, to simulating physical interaction, to learning control policies that transfer to real robots.

  1. Peking University · Visual Computing and Learning Lab
    Character animation and physics simulation on dexterous hands with Prof. Libin Liu
  2. Stanford University
    Research intern on human motion generation in the TML Lab and SVL Lab with Michelle Guo and Pei Xu, guided by Prof. Karen Liu and Prof. Jiajun Wu
  3. Peking University
    Data structures and network measurement with Prof. Tong Yang

Education & Awards

Education

  1. University of California San Diego
    M.S. in Computer Science and Engineering
  2. Peking University
    B.S. in Computer Science and Technology

Selected Awards

Beyond Research

I am an enthusiastic speedcuber. My official personal bests include 9.47 seconds in 3×3 at Los Angeles 2024 and 2.36 seconds in Pyraminx at Sacramento 2024. Results are available on my WCA profile.

I also write speedcubing tutorials and personal essays about places, communities, and stories that stay with me.