An Efficient Hessian Based Algorithm for Singly Linearly and Box Constrained Least Squares Regression. - Lanyu Lin; Yong-Jin Liu 002 (J. Sci. Comput., 2021)

Efficient Sparse Hessian-Based Semismooth Newton Algorithms for Dantzig Selector. - Sheng Fang; Yong-Jin Liu 002; Xianzhu Xiong (SIAM J. Sci. Comput., 2021)

A Semismooth Newton-based Augmented Lagrangian Algorithm for Density Matrix Least Squares Problems. - Yong-Jin Liu 002; Jing Yu (J. Optim. Theory Appl., 2022)

A semismooth Newton based dual proximal point algorithm for maximum eigenvalue problem. - Yong-Jin Liu 002; Jing Yu (Comput. Optim. Appl., 2023)

An efficient algorithm for Fantope-constrained sparse principal subspace estimation problem. - Yong-Jin Liu 002; Yuqi Wan; Lanyu Lin (Appl. Math. Comput., 2024)

An Inexact Semismooth Newton-Based Augmented Lagrangian Algorithm for Multi-Task Lasso Problems. - Lanyu Lin; Yong-Jin Liu 002 (Asia Pac. J. Oper. Res., 2024)