Global convergence properties of the two new dependent Fletcher-Reeves conjugate gradient methods. - Changyu Wang; Shujun Lian (Appl. Math. Comput., 2006)

Convergence Properties of the Dependent PRP Conjugate Gradient Methods. - Shujun Lian; Changyu Wang; Lixia Cao (J. Syst. Sci. Complex., 2006)

Smoothing approximation to l1 exact penalty function for inequality constrained optimization. - Shujun Lian (Appl. Math. Comput., 2012)

A simple smooth exact penalty function for smooth optimization problem. - Shujun Lian; Liansheng Zhang (J. Syst. Sci. Complex., 2012)

Smoothing Approximation to the Square-Order Exact Penalty Functions for Constrained Optimization. - Shujun Lian; Jinli Han (J. Appl. Math., 2013)

Global convergence and finite termination of a class of smooth penalty function algorithms. - Changyu Wang; Wenling Zhao; Jinchuan Zhou; Shujun Lian (Optim. Methods Softw., 2013)

Wearable Rehabilitation Training System for Upper Limbs Based on Virtual Reality. - Jianhai Han; Shujun Lian; Bingjing Guo; Xiangpan Li; Aimin You (ICIRA (3), 2017)

Smoothing Approximation to the New Exact Penalty Function with Two Parameters. - Jing Qiu; Jiguo Yu; Shujun Lian (Asia Pac. J. Oper. Res., 2021)

Intelligent algorithm for dynamic functional brain network complexity from CN to AD. - Chenghui Zhang; Xinchun Cui; Shujun Lian; Ruyi Xiao; Hong Qiao; Shancang Li; Yue Lou; Yue Feng; Liying Zhuang; Jianzong Du; Xiaoli Liu (Int. J. Intell. Syst., 2022)