- A Homogeneous Second-Order Descent Method for Nonconvex Optimization, Mathematics of Operations Research, 2025
- Homogeneous Second-Order Descent Framework: A Fast Alternative to Newton-Type Methods, Mathematical Programming, 2025
- Riemannian Accelerated Zeroth-Order Algorithm: Improved Robustness and Lower Query Complexity, International Conference on Machine Learning, 2024
- Dynamic Regret for Online Proximal Newton’s Method, International Conference on Applied Mathematics and Computer Science, 2024
- Quaternion Matrix Decomposition and its Theoretical Implications, Journal of Global Optimization, 2023
Awards: 2025 iSoGO Student Paper Award
Referee Services:
- IEEE Transactions on Automatic Control
- AISTATS 2026
- SIAM Journal on Optimization
- Communications on Applied Mathematics and Computation
Research Experience
Currently a visiting student in the Department of Industrial and Systems Engineering at the University of Minnesota, working with Professor Shuzhong Zhang
Education
PhD: Research Institute for Interdisciplinary Sciences at Shanghai University of Finance and Economics, Advisor: Professor Bo Jiang; Time: Final year
Bachelor's Degree: School of Mathematical Sciences at East China Normal University, Time: 2021
Background
Research Interests: Continuous optimization problems, particularly in machine learning, operations research, and other applications. Recently, mainly working on Riemannian optimization.