Shixiang Chen
Shixiang Chen
Postdoctoral Associate, Texas A&M University
Verified email at
Cited by
Cited by
Proximal Gradient Method for Nonsmooth Optimization over the Stiefel Manifold
S Chen, S Ma, AMC So, T Zhang
SIAM Journal on Optimization, 2020, 2020
Weakly Convex Optimization over Stiefel Manifold Using Riemannian Subgradient-Type Methods
X Li, S Chen, Z Deng, Q Qu, Z Zhu, AMC So
arXiv, arXiv: 1911.05047, 2019
An Alternating Manifold Proximal Gradient Method for Sparse Principal Component Analysis and Sparse Canonical Correlation Analysis
S Chen, S Ma, L Xue, H Zou
Informs Journal on Optimization 2 (3), 192-208, 2020
Geometric descent method for convex composite minimization
S Chen, S Ma, W Liu
Advances in Neural Information Processing Systems, 636-644, 2017
Manifold proximal point algorithms for dual principal component pursuit and orthogonal dictionary learning
S Chen, Z Deng, S Ma, AMC So
2019 53rd Asilomar Conference on Signals, Systems, and Computers, 259-263, 2019
On Distributed Non-convex Optimization: Projected Subgradient Method For Weakly Convex Problems in Networks
S Chen, A Garcia, S Shahrampour
IEEE Transactions on Automatic Control, 2021
On the Local Linear Rate of Consensus on the Stiefel Manifold
S Chen, A Garcia, M Hong, S Shahrampour
arXiv preprint arXiv:2101.09346, 2021
Decentralized Riemannian Gradient Descent on the Stiefel Manifold
S Chen, A Garcia, M Hong, S Shahrampour
arXiv preprint arXiv:2102.07091, 2021
A Manifold Proximal Linear Method for Sparse Spectral Clustering with Application to Single-Cell RNA Sequencing Data Analysis
Z Wang, B Liu, S Chen, S Ma, L Xue, H Zhao
arXiv preprint arXiv:2007.09524, 2020
First-Order Algorithms for Structured Optimization: Convergence, Complexity and Applications
S Chen
The Chinese University of Hong Kong (Hong Kong), 2019
Nonconvex Robust Synchronization of Rotations
H Liu, Z Deng, X Li, S Chen, AMC So
The system can't perform the operation now. Try again later.
Articles 1–11