I am a master student in ICME at Stanford University. Before that, I graduated from UCLA with major in Mathematics of Computation. I have a general interest in Machine Learning, Graph Neural Network, and Computer Vision. My current research focuses on developing efficient and scalable training paradigm for large-scale neural network. Meanwhile, I am also interested in general pretraining algorithms that provide rich representations and fundamental knowledge.
M.S. in Computational Mathematical Engineering
Stanford University (2022 - 2024)
B.S. in Math of Computation (GPA 3.98/4.0)
University of California, Los Angeles (2018 - 2022)