Worked on algorithmic improvements for Vision-Language-Action foundation
models, focusing on robust continuous action generation for embodied
control. Developed GeCO, a time-unconditional flow-matching framework for
adaptive and robust robotic control.
Embodied AI Intern
UMass Amherst
Worked with Prof. Chuang Gan on LLM-based embodied agents and interactive
multi-agent simulation environments. Contributed to ELLA and the Virtual
Community project.
Education
B.S. Candidate in Computer Science
Tsinghua University, Institute for Interdisciplinary Information Sciences
GPA: 3.73 / 4.0. Selected coursework includes Deep Learning, Deep
Reinforcement Learning, Algorithm Design, Linear Algebra, Calculus,
Probability and Statistics, and Artificial Intelligence: Principles and
Technology.
Skills & Hobbies
Programming
Python
C++
C
Verilog
Machine Learning
PyTorch
Deep Learning
Reinforcement Learning
Flow and Diffusion Policies
Tools and Libraries
NumPy
Genesis
CleanDiffuser
PyTorch3D
OpenGL
LaTeX
Awards
School Scholarship
Tsinghua University ∙
January 2023
Gold Medal, CCPC Guilin Regional Contest
China Collegiate Programming Contest ∙
January 2022
Freshman Scholarship
Tsinghua University ∙
January 2022
Gold Medal, National Olympiad in Informatics, China
China Computer Federation ∙
January 2021
International Gold Medal, Asia-Pacific Informatics Olympiad