Riemannian Optimization
Optimization over Stiefel and related matrix manifolds.
Assistant Professor (特任研究员), School of Mathematical Sciences, University of Science and Technology of China (USTC).
My research interests are optimization and machine learning. My recent research focuses on decentralized optimization and Riemannian optimization.
My research interests center on Riemannian optimization, decentralized optimization, and machine learning.
Optimization over Stiefel and related matrix manifolds.
Distributed and consensus-based methods for networked optimization problems.
Optimization methods and learning-based frameworks for machine learning models.
Shixiang Chen, Wen Huang
Shixiang Chen, Yixiao He, Wen Huang
Shixiang Chen, Shiqian Ma, Anthony Man-Cho So, Tong Zhang
Earlier version: Proximal Gradient Method for Nonsmooth Optimization over the Stiefel Manifold, SIAM J. Optim., 2020.
Shixiang Chen, Alfredo Garcia, Mingyi Hong, Shahin Shahrampour
Xiao Li*, Shixiang Chen*, Zengde Deng, Qing Qu, Zhihui Zhu, Anthony Man-Cho So
Recent recognitions and updates.
Before joining USTC, I worked as an Algorithm Scientist at JD Explore Academy, JD.com, and was a Postdoctoral Associate at Texas A&M University.
Reviewer service
SIAM Journal on Optimization, Mathematical Programming, Mathematics of Operations Research, Optimization Methods and Software, Computational Optimization and Applications, Journal of Global Optimization, Optimization.
IEEE Transactions on Automatic Control, IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Signal Processing.
ICML (Gold reviewer), Neurips, ICLR, ACC, CDC.
School of Mathematical Sciences, University of Science and Technology of China (USTC).