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陈士祥
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Paper Publications
Dynamic Regularized Sharpness Aware Minimization in Federated Learning: Approaching Global Consistency and Smooth Landscape. Yan Sun, Li Shen, Shixiang Chen, Liang Ding, Dacheng Tao. ICML 2023, Oral.
Inducing Neural Collapse in Imbalanced Learning: Do We Really Need a Learnable Classifier at the End of Deep Neural Network? Yibo Yang, Shixiang Chen, Liang Xie, Xiangtai Li, Zhouchen Lin, Dacheng Tao. Neurips 2022.
A Manifold Proximal Linear Method for Sparse Spectral Clustering with Application to Single-Cell RNA Sequencing Data Analysis. Zhongruo Wang,Bingyuan Liu, Shixiang Chen, Shiqian Ma, Lingzhou Xue, Hongyu Zhao. Informs Journal on Optimization.
Penalized Proximal Policy Optimization for Safe Reinforcement Learning. Linrui Zhang, Li Shen, Long Yang, Shixiang Chen, Bo Yuan , Xueqian Wang , Dacheng Tao. IJCAI 2022.
Manifold Proximal Point Algorithms for Dual Principal Component Pursuit and Orthogonal Dictionary Learning. Shixiang Chen,Zengde Deng, Shiqian Ma, Anthony Man-Cho So, IEEE Transactions on Signal Processing, 69 (2021): 4759-4773.
On Distributed Non-convex Optimization: Projected Subgradient Method For Weakly Convex Problems in Networks. Shixiang Chen, Alfredo Garcia and Shahin Shahrampour. IEEE Transactions on Automatic Control, 67 (2021): 662 - 675.
Decentralized Riemannian Gradient Descent on the Stiefel Manifold. Shixiang Chen, Alfredo Garcia, Mingyi Hong, Shahin Shahrampour. ICML 2021.
Weakly Convex Optimization over Stiefel Manifold Using Riemannian Subgradient-Type Methods. Xiao Li, Shixiang Chen, Zengde Deng, Qing Qu, Zhihui Zhu and Anthony Man-Cho So. SIAM Journal on Optimization, 31 (3), 1605-1634, 2021..
An Alternating Manifold Proximal Gradient Method for Sparse PCA and Sparse CCA. Shixiang Chen, Shiqian Ma, Lingzhou Xue and Hui Zou. Informs Journal on Optimization, 2(3):192–208, 2020.
Geometric descent method for convex composite minimization. Shixiang Chen, Shiqian Ma and Wei Liu. Neurips 2017.
Proximal Gradient Method for Nonsmooth Optimization over the Stiefel Manifold. Shixiang Chen, Shiqian Ma, Anthony Man-Cho So, and Tong Zhang. SIAM Journal on Optimization, 30(1):210–239, 2020.
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