Shixiang Chen (陈士祥)
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Assistant Professor(特任研究员), |
About me
I am an Assistant Professor(特任研究员) at School of Mathematical Sciences, University of Science and Technology(USTC). My research interests are optimization and machine learning. My recent research focuses on decentralized optimization and Riemannian optimization. I received the 2024 INFORMS Computing Society Prize and the 2024 SIAM Review SIGEST Award.
Research
My research interests include:
Optimization
Machine Learning
Preprints
Jinxin Wang, Jiang Hu, Shixiang Chen, Zengde Deng, Anthony Man-Cho So. Decentralized Weakly Convex Optimization Over the Stiefel Manifold. [pdf]
Journal papers
Shixiang Chen, Shiqian Ma, Anthony Man-Cho So, and Tong Zhang, "Nonsmooth Optimization over the Stiefel Manifold and Beyond: Proximal Gradient Method and Recent Variants ," SIAM Review, 2024. [link](SIGEST paper)
Shixiang Chen, Alfredo Garcia, Mingyi Hong and Shahin Shahrampour. On the Local Linear Rate of Consensus on the Stiefel Manifold. IEEE Transactions on Automatic Control, 2024. [link]
Hao Sun, Li Shen, Qihuang Zhong, Liang Ding, Shixiang Chen, Jingwei Sun, Jing Li, Guangzhong Sun, Dacheng Tao. Adasam: Boosting sharpness-aware minimization with adaptive learning rate and momentum for training deep neural networks. Neural Networks, 2024. [link]
Zhongruo Wang, Bingyuan Liu, Shixiang Chen, Shiqian Ma, Lingzhou Xue, Hongyu Zhao, "A Manifold Proximal Linear Method for Sparse Spectral Clustering with Application to Single-Cell RNA Sequencing Data Analysis". Informs Journal on Optimization, 2022.[link].
Shixiang Chen, Zengde Deng, Shiqian Ma and Anthony Man-Cho So, "Manifold Proximal Point Algorithms for Dual Principal Component Pursuit and Orthogonal Dictionary Learning", IEEE Transactions on Signal Processing, 2021. [link]
Xiao Li*, Shixiang Chen*, Zengde Deng, Qing Qu, Zhihui Zhu, Anthony Man-Cho So, "Weakly Convex Optimization over Stiefel Manifold Using Riemannian Subgradient-Type Methods". SIAM Journal on Optimization, 2021.[pdf]
Shixiang Chen, Alfredo Garcia and Shahin Shahrampour, "On Distributed Non-convex Optimization: Projected Subgradient Method For Weakly Convex Problems in Networks", IEEE Transactions on Automatic Control, 2021.[link]
Shixiang Chen, Shiqian Ma, Lingzhou Xue and Hui Zou, "An Alternating Manifold Proximal Gradient Method for Sparse PCA and Sparse CCA". Informs Journal on Optimization, 2020.[link][code] [R code]
Shixiang Chen, Shiqian Ma, Anthony Man-Cho So, and Tong Zhang, "Proximal Gradient Method for Nonsmooth Optimization over the Stiefel Manifold". SIAM Journal on Optimization, 2020. [link][code]
Conference papers
Jinxin Wang, Jiang Hu, Shixiang Chen, Zengde Deng, Anthony Man-Cho So, "Decentralized Non-Smooth Optimization Over the Stiefel Manifold", IEEE SAM 2024.
Yan Sun, Li Shen, Shixiang Chen, Liang Ding, Dacheng Tao, "Dynamic Regularized Sharpness Aware Minimization in Federated Learning: Approaching Global Consistency and Smooth Landscape", ICML 2023.
Yibo Yang, Shixiang Chen, Liang Xie, Xiangtai Li, Zhouchen Lin, Dacheng Tao, "Inducing Neural Collapse in Imbalanced Learning: Do We Really Need a Learnable Classifier at the End of Deep Neural Network?" NeurIPS 2022 . [pdf]
Shixiang Chen, Alfredo Garcia, Mingyi Hong, Shahin Shahrampour, "Decentralized Riemannian Gradient Descent on the Stiefel Manifold", ICML 2021. [pdf][code]
Shixiang Chen, Zengde Deng, Shiqian Ma and Anthony Man-Cho So, "Manifold proximal point algorithms for dual principal component pursuit and orthogonal dictionary learning", Asilomar Conference on Signals, Systems, and Computers, 2019.
Shixiang Chen, Shiqian Ma and Wei Liu, "Geometric descent method for convex composite minimization", NeurIPS 2017 . [pdf]
Note: * indicates equal contribution.
Academic service
Reviewer
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, Neurips, ICLR, CDC