Hi, welcome to my page! I am a postdoctoral associate at the Department of Electrical and Computer Engineering, University of Minnesota, advised by Prof. Mingyi Hong and Prof. Shuzhong Zhang. I obtained my Ph.D. degree in Applied Mathematics at the Department of Mathematics, UC Davis, advised by Prof. Krishna Balasubramanian and Prof. Shiqian Ma. Prior to this, I received my B.S. degree in Mathematics from Zhejiang University.

News

• November 2024: Paper “A Riemannian ADMM” is accepted by Mathematics of Operations Research!

• September 2024: Two papers are accepted by NeurIPS 2024. Congratulations to all my collaborators! See you in Vancouver this December!
  • Getting More Juice Out of the SFT Data: Reward Learning from Human Demonstration Improves SFT for LLM Alignment
  • SLTrain: a sparse plus low-rank approach for parameter and memory efficient pretraining

• August 2024: I’m very happy to receive the INFORMS Computing Society Prize! See you in Seattle this October!

• August 2024: Paper “Zeroth-order Riemannian Averaging Stochastic Approximation Algorithms” is accepted by SIAM Journal on Optimization!

• July 2024: A new grant “Bi-Level Optimization for Hierarchical Machine Learning Problems: Models, Algorithms and Applications” is awarded from NSF. I’m excited to be the co-PI of this project with Prof Hong!

• May 2024: Paper “Revisiting Zeroth-Order Optimization for Memory-Efficient LLM Fine-Tuning: A Benchmark” is accepted by ICML 2024. Congratulations to all my collaborators!