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 | 24 | 2022 |
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 | 15 | 2021 |
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 | 9 | 2023 |
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 | 8 | 2023 |
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 | 4 | 2023 |
A decentralized proximal gradient tracking algorithm for composite optimization on riemannian manifolds L Wang, L Bao, X Liu arXiv preprint arXiv:2401.11573, 2024 | 2 | 2024 |
An Inexact Preconditioned Zeroth-order Proximal Method for Composite Optimization S Liu, L Wang, N Xiao, X Liu arXiv preprint arXiv:2401.03565, 2024 | 1 | 2024 |
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 |