About Me

I am currently a second-year PhD student at Dartmouth College. I am honored to be advised by Prof. Yaoqing Yang. Prior to this, I earned my Bachelor’s degree in Mathematics and Applied Mathematics from South China University of Technology in 2024. My primary research interests lie in learning theory📊 and optimization📈.

✨Research Interests

I am interested in both classical learning theory problems (Rademacher Complexity, Covering Number, PAC-Bayesian, etc.) and recently emerging theory problems (primarily focusing on the statistical and optimization properties of large-scale deep neural networks). If you have any interesting related problems, feel free to discuss with me anytime! I am very open to cooperation.

My current research primarily focus on:

Investigate non-vacuous and theoretically interpretable metrics for data/model statistical complexity in neural networks training, and determine how the interplay between data complexity and model complexity can lead to improved generalization and robustness performance.
Analyze the loss landscapes of large-scale neural networks (CNNs, Transformers, etc.) and the behavior of optimization algorithms under specific loss landscapes, and develop scalable pre-conditional optimization algorithms based on the optimization properties of the loss landscapes.

📖Education

2024.9-present Ph.D in Computer Science, Department of Computer Science, Dartmouth College

2020.9-2024.6 B.S. in Mathematics and Applied Mathematics, Department of Mathematics, South China University of Technology

📢News

2025.10.11 Hi everyone, this is the first post on this website. Welcome to discuss interesting topics together!

📚Publications

You can find my publication at My google scholar

🍽️Miscellaneous