A new proof approach to lower semicontinuity for parametric vector equilibrium problems. - Shu Xu; Sheng-Jie Li (Optim. Lett., 2009)

Generalized second-order contingent epiderivatives in parametric vector optimization problems. - Xiang-Kai Sun; Sheng-Jie Li (J. Glob. Optim., 2014)

Method of weighted expected residual for solving stochastic variational inequality problems. - Fang Lu; Sheng-Jie Li (Appl. Math. Comput., 2015)

Convergence analysis of weighted expected residual method for nonlinear stochastic variational inequality problems. - Fang Lu; Sheng-Jie Li; Jing Yang (Math. Methods Oper. Res., 2015)

Vector equilibrium problems under improvement sets and linear scalarization with stability applications. - Chun-Rong Chen; Xin Zuo; Fang Lu; Sheng-Jie Li (Optim. Methods Softw., 2016)

Characterizations for Optimality Conditions of General Robust Optimization Problems. - Hongzhi Wei; Chun-Rong Chen; Sheng-Jie Li (J. Optim. Theory Appl., 2018)

A Unified Characterization of Multiobjective Robustness via Separation. - Hongzhi Wei; Chun-Rong Chen; Sheng-Jie Li (J. Optim. Theory Appl., 2018)

Conjugate duality for constrained optimization via image space analysis and abstract convexity. - C. L. Yao; Sheng-Jie Li (Optim. Lett., 2019)

A Unified Approach Through Image Space Analysis to Robustness in Uncertain Optimization Problems. - Hongzhi Wei; Chun-Rong Chen; Sheng-Jie Li (J. Optim. Theory Appl., 2020)

Robustness Characterizations for Uncertain Optimization Problems via Image Space Analysis. - Hongzhi Wei; Chun-Rong Chen; Sheng-Jie Li (J. Optim. Theory Appl., 2020)

Spectral conjugate gradient methods for vector optimization problems. - Qing-Rui He; Chun-Rong Chen; Sheng-Jie Li (Comput. Optim. Appl., 2023)

A family of conjugate gradient methods with guaranteed positiveness and descent for vector optimization. - Qing-Rui He; Sheng-Jie Li; Bo-Ya Zhang; Chun-Rong Chen (Comput. Optim. Appl., 2024)

The Dai-Liao-type conjugate gradient methods for solving vector optimization problems. - Bo-Ya Zhang; Qing-Rui He; Chun-Rong Chen; Sheng-Jie Li; Ming-Hua Li (Optim. Methods Softw., 2025)