オープン アクセスを義務付けられた論文 - Shixiang Chen詳細
一般には非公開: 1 件
Nonsmooth Optimization over the Stiefel Manifold and Beyond: Proximal Gradient Method and Recent Variants
S Chen, S Ma, A Man-Cho So, T Zhang
SIAM Review 66 (2), 319-352, 2024
委任: Research Grants Council, Hong Kong
一般公開: 10 件
Proximal gradient method for nonsmooth optimization over the Stiefel manifold
S Chen, S Ma, A Man-Cho So, T Zhang
SIAM Journal on Optimization 30 (1), 210-239, 2020
委任: Research Grants Council, Hong Kong
Inducing Neural Collapse in Imbalanced Learning: Do We Really Need a Learnable Classifier at the End of Deep Neural Network?
Y Yang, S Chen, X Li, L Xie, Z Lin, D Tao
NeurIPS 2022, 2022
委任: National Natural Science Foundation of China
Weakly convex optimization over Stiefel manifold using Riemannian subgradient-type methods
X Li, S Chen, Z Deng, Q Qu, Z Zhu, A Man-Cho So
SIAM Journal on Optimization 31 (3), 1605-1634, 2021
委任: US National Science Foundation, National Natural Science Foundation of China …
Dynamic Regularized Sharpness Aware Minimization in Federated Learning: Approaching Global Consistency and Smooth Landscape
Y Sun, L Shen, S Chen, L Ding, D Tao
ICML 2023, 2023
委任: Australian Research Council
An alternating manifold proximal gradient method for sparse principal component analysis and sparse canonical correlation analysis
S Chen, S Ma, L Xue, H Zou
INFORMS Journal on Optimization 2 (3), 192-208, 2020
委任: US National Science Foundation, US National Institutes of Health
On distributed nonconvex optimization: Projected subgradient method for weakly convex problems in networks
S Chen, A Garcia, S Shahrampour
IEEE Transactions on Automatic Control 67 (2), 662-675, 2021
委任: US National Science Foundation
Decentralized Riemannian Gradient Descent on the Stiefel Manifold
S Chen, A Garcia, M Hong, S Shahrampour
International Conference on Machine Learning, 2021
委任: US National Science Foundation, US Department of Defense
Adasam: Boosting sharpness-aware minimization with adaptive learning rate and momentum for training deep neural networks
H Sun, L Shen, Q Zhong, L Ding, S Chen, J Sun, J Li, G Sun, D Tao
Neural Networks 169, 506-519, 2024
委任: Chinese Academy of Sciences
Manifold proximal point algorithms for dual principal component pursuit and orthogonal dictionary learning
S Chen, Z Deng, S Ma, AMC So
IEEE Transactions on Signal Processing, 2021
委任: US National Science Foundation, Research Grants Council, Hong Kong
A manifold proximal linear method for sparse spectral clustering with application to single-cell RNA sequencing data analysis
Z Wang, B Liu, S Chen, S Ma, L Xue, H Zhao
INFORMS Journal on Optimization 4 (2), 200-214, 2022
委任: US National Science Foundation, US National Institutes of Health
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