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陈士祥
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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.
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