Weakly upper Lipschitz multifunctions and applications in parametric optimization. - Roxin Zhang (Math. Program., 2005)

Conditioning Convex and Nonconvex Functions in Optimization. - Roxin Zhang (CSO, 2012)

A rough ν-twin support vector regression machine. - Zhenxia Xue; Roxin Zhang; Chuandong Qin; Xiaoqing Zeng (Appl. Intell., 2018)

An adaptive twin support vector regression machine based on rough and fuzzy set theories. - Zhenxia Xue; Roxin Zhang; Chuandong Qin; Xiaoqing Zeng (Neural Comput. Appl., 2020)

An accelerated proximal alternating direction method of multipliers for robust fused Lasso. - Yibao Fan; You-lin Shang; Zheng-Fen Jin; Jia Liu; Roxin Zhang (RAIRO Oper. Res., 2023)

A new parameter-free continuously differentiable filled function algorithm for solving nonlinear equations and data fitting problems. - Youlin Shang; Deqiang Qu; Junxiang Li; Roxin Zhang (J. Comput. Appl. Math., 2025)

An efficient algorithm via a novel one-parameter filled function based on general univariate functions for unconstrained global optimization. - Guanglei Sun; Youlin Shang; Xiaoqiang Wang; Roxin Zhang; Deqiang Qu (J. Comput. Appl. Math., 2025)