フォロー
Lei Wang
Lei Wang
Department of Applied Mathematics, The Hong Kong Polytechnic University
確認したメール アドレス: lsec.cc.ac.cn
タイトル
引用先
引用先
Decentralized optimization over the Stiefel manifold by an approximate augmented Lagrangian function
L Wang, X Liu
IEEE Transactions on Signal Processing 70, 3029-3041, 2022
242022
Multipliers Correction Methods for Optimization Problems over the Stiefel Manifold
L Wang, B Gao, X Liu
CSIAM Transactions on Applied Mathematics 2 (3), 508-531, 2021
152021
A communication-efficient and privacy-aware distributed algorithm for sparse PCA
L Wang, X Liu, Y Zhang
Computational Optimization and Applications 85, 1033–1072, 2023
92023
A Variance-Reduced Stochastic Gradient Tracking Algorithm for Decentralized Optimization with Orthogonality Constraints
L Wang, X Liu
Journal of Industrial and Management Optimization 19 (10), 7753-7776, 2023
82023
Seeking consensus on subspaces in federated principal component analysis
L Wang, X Liu, Y Zhang
Journal of Optimization Theory and Applications 203 (1), 529-561, 2024
6*2024
Smoothing gradient tracking for decentralized optimization over the Stiefel manifold with non-smooth regularizers
L Wang, X Liu
2023 62nd IEEE Conference on Decision and Control (CDC), 126-132, 2023
42023
A decentralized proximal gradient tracking algorithm for composite optimization on riemannian manifolds
L Wang, L Bao, X Liu
arXiv preprint arXiv:2401.11573, 2024
22024
An Inexact Preconditioned Zeroth-order Proximal Method for Composite Optimization
S Liu, L Wang, N Xiao, X Liu
arXiv preprint arXiv:2401.03565, 2024
12024
The Distributionally Robust Optimization Model of Sparse Principal Component Analysis
L Wang, X Liu, X Chen
arXiv preprint arXiv:2503.02494, 2025
2025
Inertial primal–dual projection neurodynamic approaches for constrained convex optimization problems and application to sparse recovery
Y Zhao, Z Allen-Zhao, L Wang, X He, Q Mao
Neural Networks, 107274, 2025
2025
A Double Tracking Method for Optimization with Decentralized Generalized Orthogonality Constraints
L Wang, N Xiao, X Liu
arXiv preprint arXiv:2409.04998, 2024
2024
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