Online Learning Under A Separable Stochastic Approximation Framework. - Min Gan; Xiang-Xiang Su; Guang-Yong Chen; Jing Chen 007 (CoRR, 2023)

Nonmonotone variable projection algorithms for matrix decomposition with missing data. - Xiang-Xiang Su; Min Gan; Guang-Yong Chen; Lin Yang; Jun-Wei Jin (Pattern Recognit., 2024)

Robust Variable Projection Algorithm for the Identification of Separable Nonlinear Models. - Guang-Yong Chen; Xiang-Xiang Su; Min Gan; Wenzhong Guo; C. L. Philip Chen (IEEE Trans. Autom. Control., 2024)

Adaptive decoupled strategy for robust and efficient low-rank matrix decomposition. - Min Gan; Peng Xue; Fan Zhang; Xiang-Xiang Su; Xin Lin; Guang-Yong Chen (Neurocomputing, 2025)

An Efficient Decoupled Optimization Algorithm for a Class of Regression Models. - Guang-Yong Chen; Yi Liao; Xiang-Xiang Su; Min Gan; C. L. Philip Chen (IEEE Signal Process. Lett., 2025)

Online Learning Under a Separable Stochastic Approximation Framework. - Min Gan; Xiang-Xiang Su; Guang-Yong Chen; Jing Chen 007; C. L. Philip Chen (IEEE Trans. Pattern Anal. Mach. Intell., 2025)