I’m a Assistant Professor at Informatic School, Xiamen University. I got my Ph.D. from The Chinese University of Hong Kong, advised by Prof. Hong Xu. I also work with Dr. Hui-Ling Zhen of Noah’s Ark Lab. I hold a B.S. from Harbin Institute of Technology and a M.S. from Tsinghua University.

Research Interests: My research lies at the intersection of machine learning and mathematical optimization, focusing on developing learning-based methods for optimization problems. I applies these techniques to accelerate applications such as stochastic optimization in Large Language Models and complex optimization problems (such as mixed integer linear programming and non-convex) in computer networking.

News

[10/2025] Nominated as top reviewer of NeurIPS 2025 (~10%)!
[09/2025] Our work, the first theoretical L2O convergence demonstration, “Learning Provably Improves the Convergence of Gradient Descent,” has been Accepted by NeurIPS 2025!
[09/2025] Got 2025 ACM SIGCSE China Doctoral Dissertation Award!
[09/2025] Started my new journey in XMU!
[06/2025] Successfully defended my PhD!
[04/2025] Our AI for network fault recovery work, “Toward Scalable Learning-Based Optical Restoration,” has been accepted by APNet 2025.
[02/2024] Our first L2O generality analysis work, “Towards Robust Learning to Optimize with Theoretical Guarantees,” has been accepted by CVPR 2024.
[12/2023] Our first L2O application work for wireless communication, “A Learning-only Method for Multi-Cell Multi-User MIMO Sum Rate Maximization,” has been accepted by INFOCOM 2024.