My research interests lie in machine learning and optimization. Specifically, I employ optimization methods with theoretical guarantees to efficiently solve practical problems.
My current research focuses on designing optimization algorithms to train machine learning models that satisfy real-world requirements, such as risk aversion, fairness, and robustness, rather than merely optimizing for average performance.
China National Scholarship, 2024-2025
Graduate Study Scholarship, Fudan University, 2023-2024
Undergraduate Merit Scholarship, Fudan University, 2019-2020, 2020-2021, 2021-2022
Fudan University
DATA130026 - Methods of Optimization, Spring 2024
DATA130008 - Introduction to Artificial Intelligence, Fall 2022
Conference Reviewer
International Conference on Machine Learning (ICML)
International Conference on Learning Representations (ICLR)
Conference on Neural Information Processing Systems (NeurIPS)
International Conference on Artificial Intelligence and Statistics (AISTATS)
