Published several conference papers and journal articles, such as 'Subsampled Ensemble Can Improve Generalization Tail Exponentially,' 'Scalable Primal-Dual Actor-Critic Method for Safe Multi-Agent RL with General Utilities,' and more. Also has working papers under review.
Research Experience
Involved in multiple research projects, including papers presented at conferences such as NeurIPS, ACC, and others.
Education
Ph.D. from the Industrial Engineering and Operations Research (IEOR) Department at UC Berkeley, advised by Prof. Javad Lavaei; previously studied Mathematics at the University of Chinese Academy of Sciences.
Background
Research interests include optimization, machine learning theory, and algorithmic game theory.