陈士祥


Email: shxchen@ustc.edu.cn

个人主页:https://faculty.ustc.edu.cn/chenshixiang/zh_CN/index.htm



主要研究方向最优化算法、数学规划、机器学习

 

个人简介:

陈士祥,数学科学学院特任研究员。主要从事分布式优化算法、流形上的优化、非凸优化等方向的研究,相关成果发表在 SIAM Journal on Optimization、IEEE Transactions on Automatic Control 、IEEE Transactions on Signal Processing 等知名期刊,以及ICML、NeurIPS会议。论文Proximal Gradient Method for Nonsmooth Optimization over the Stiefel Manifold, SIOPT, Vol. 30, No. 1, pp. 210--239获得SIAM Review SIGEST奖。 

现阶段主要兴趣为分布式优化算法、流形上的优化、神经网络训练优化等,希望能和广大同行进行深度交流和合作,欢迎感兴趣的数理背景优秀或者编程能力较好的本科生和研究生随时联系。

 

主要经历:

2023.5-至今    中国科学技术大学  |  数学科学学院  |  特任研究员

2021.9-2023.4  京东科技  |  探索研究院  |  算法科学家

2019.9-2021.8  Texas A&M University  |  博士后

2015.8-2019.7 香港中文大学  |  运筹学  |  博士  |  博士研究生毕业

2011.9-2015.6  南京大学  |  数学与应用数学  |  学士  |  本科

 

近年代表性论文:

[1] Shixiang Chen; Alfredo Garcia; Mingyi Hong; Shahin Shahrampour ; On the Local Linear Rate of Consensus on the Stiefel Manifold, IEEE Transactions on Automatic Control, 2023.(在线发表)

[2] Yang, Y., Shixiang Chen, Li, X., Xie, L., Lin, Z., & Tao, D. (2022). Inducing neural collapse in imbalanced learning: Do we really need a learnable classifier at the end of deep neural network?. Advances in neural information processing systems, 35, 37991-38002.

[3] 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, 31(3): 1605-1634.

[4] Chen, Shixiang, et al. Decentralized Riemannian gradient descent on the Stiefel manifold. International Conference on Machine Learning. PMLR, 2021.

[5] Shixiang Chen; Alfredo Garcia; Shahin Shahrampour ; On Distributed Non-convex Optimization: Projected Subgradient Method For Weakly Convex Problems in Networks, IEEE Transactions on Automatic Control, 2021, 67(2): 662-675.

[6] Shixiang Chen; Zengde Deng; Shiqian Ma; Anthony Man-Cho So ; Manifold Proximal Point Algorithms for Dual Principal Component Pursuit and Orthogonal Dictionary Learning, IEEE Transactions on Signal Processing, 2021, 69: 4759-4773.

[7] Shixiang Chen; Shiqian Ma; Anthony Man-Cho So; Tong Zhang ; Proximal Gradient Method for Nonsmooth Optimization over the Stiefel Manifold, SIAM Journal on Optimization, 2020, 30(1): 210- 239. (SIAM Review SIGEST Award)

[8] Shixiang Chen, Shiqian Ma, Lingzhou Xue, Hui Zou. An alternating manifold proximal gradient method for sparse principal component analysis and sparse canonical correlation analysis. INFORMS Journal on Optimization 2.3 (2020): 192-208.