Chen, Shixiang

5 publications

ICML 2023 Dynamic Regularized Sharpness Aware Minimization in Federated Learning: Approaching Global Consistency and Smooth Landscape Yan Sun, Li Shen, Shixiang Chen, Liang Ding, Dacheng Tao

NeurIPS 2022 Inducing Neural Collapse in Imbalanced Learning: Do We Really Need a Learnable Classifier at the End of Deep Neural Network? Yibo Yang, Shixiang Chen, Xiangtai Li, Liang Xie, Zhouchen Lin, Dacheng Tao

IJCAI 2022 Penalized Proximal Policy Optimization for Safe Reinforcement Learning Linrui Zhang, Li Shen, Long Yang, Shixiang Chen, Xueqian Wang, Bo Yuan, Dacheng Tao

ICML 2021 Decentralized Riemannian Gradient Descent on the Stiefel Manifold Shixiang Chen, Alfredo Garcia, Mingyi Hong, Shahin Shahrampour

NeurIPS 2017 Geometric Descent Method for Convex Composite Minimization Shixiang Chen, Shiqian Ma, Wei Liu