A Distributed and Secure Algorithm for Computing Dominant SVD Based on Projection Splitting. - Lei Wang 224; Xin Liu; Yin Zhang (CoRR, 2020)

A Variance-Reduced Stochastic Gradient Tracking Algorithm for Decentralized Optimization with Orthogonality Constraints. - Lei Wang 224; Xin Liu 001 (CoRR, 2022)

Decentralized Optimization Over the Stiefel Manifold by an Approximate Augmented Lagrangian Function. - Lei Wang 224; Xin Liu 001 (IEEE Trans. Signal Process., 2022)

Smoothing Gradient Tracking for Decentralized Optimization over the Stiefel Manifold with Non-Smooth Regularizers. - Lei Wang 224; Xin Liu (CDC, 2023)

A communication-efficient and privacy-aware distributed algorithm for sparse PCA. - Lei Wang 224; Xin Liu 001; Yin Zhang 010 (Comput. Optim. Appl., 2023)

A Double Tracking Method for Optimization with Decentralized Generalized Orthogonality Constraints. - Lei Wang 224; Nachuan Xiao; Xin Liu 001 (CoRR, 2024)

Seeking Consensus on Subspaces in Federated Principal Component Analysis. - Lei Wang 224; Xin Liu 001; Yin Zhang 010 (J. Optim. Theory Appl., 2024)

Inertial primal-dual projection neurodynamic approaches for constrained convex optimization problems and application to sparse recovery. - You Zhao; Zhihua Allen-Zhao 002; Lei Wang 224; Xing He; Qin Mao (Neural Networks, 2025)