A conic trust-region method for optimization with nonlinear equality and inequality constrains via active-set strategy. - Ying Ji 001; Shao-Jian Qu; Yanjun Wang; Huimin Li (Appl. Math. Comput., 2006)

A deterministic global optimization algorithm. - Ying Ji 001; Ke-Cun Zhang; Shao-Jian Qu (Appl. Math. Comput., 2007)

A global optimization algorithm using parametric linearization relaxation. - Shao-Jian Qu; Ke-Cun Zhang; Ying Ji 001 (Appl. Math. Comput., 2007)

A new global optimization algorithm for signomial geometric programming via Lagrangian relaxation. - Shao-Jian Qu; Kecun Zhang; Ying Ji 001 (Appl. Math. Comput., 2007)

A trust-region method by active-set strategy for general nonlinear optimization. - Ying Ji 001; Ke-Cun Zhang; Shao-Jian Qu; Ying Zhou (Comput. Math. Appl., 2007)

A deterministic global optimization algorithm based on a linearizing method for nonconvex quadratically constrained programs. - Shao-Jian Qu; Ying Ji 001; Ke-Cun Zhang (Math. Comput. Model., 2008)

A new nonmonotone trust-region method of conic model for solving unconstrained optimization. - Ying Ji 001; Yijun Li; Ke-Cun Zhang; Xinli Zhang (J. Comput. Appl. Math., 2010)

The worst-case discounted regret portfolio optimization problem. - Ying Ji 001; Tienan Wang; Mark Goh; Yong Zhou; Bo Zou 001 (Appl. Math. Comput., 2014)

Nonsmooth multiobjective programming with quasi-Newton methods. - Shaojian Qu; Chen Liu; Mark Goh; Yijun Li; Ying Ji 001 (Eur. J. Oper. Res., 2014)

A new algorithm for linearly constrained c-convex vector optimization with a supply chain network risk application. - Shaojian Qu; Mark Goh; Ying Ji 001; Robert de Souza (Eur. J. Oper. Res., 2015)

Proximal Point Algorithms for Multi-criteria Optimization with the Difference of Convex Objective Functions. - Ying Ji 001; Mark Goh; Robert de Souza (J. Optim. Theory Appl., 2016)

Nonmonotone gradient methods for vector optimization with a portfolio optimization application. - Shaojian Qu; Ying Ji 001; Jianlin Jiang; Qingpu Zhang (Eur. J. Oper. Res., 2017)

Multi-objective linear programming games and applications in supply chain competition. - Ying Ji 001; Meng Li; Shaojian Qu (Future Gener. Comput. Syst., 2018)

Three-Stage Mixed Integer Robust Optimization Model Applied to Humanitarian Emergency Logistics by Considering Secondary Disasters. - Jianhui Du; Ying Ji 001; Deqiang Qu; Xiaoqing Wu; Dan Yang (IEEE Access, 2020)

On Mixed Metric Dimension of Some Path Related Graphs. - Hassan Raza; Ying Ji 001; Shaojian Qu (IEEE Access, 2020)

Data-driven two-stage distributionally robust optimization with risk aversion. - Ripeng Huang; Shaojian Qu; Zaiwu Gong; Mark Goh; Ying Ji 001 (Appl. Soft Comput., 2020)

A New Multi-Attribute Emergency Decision-Making Algorithm Based on Intuitionistic Fuzzy Cross-Entropy and Comprehensive Grey Correlation Analysis. - Ping Li; Ying Ji 001; Zhong Wu; Shao-Jian Qu (Entropy, 2020)

Two-stage fuzzy mixed integer optimization model for three-level location allocation problems under uncertain environment. - Zhimin Liu; Shaojian Qu; Zhong Wu; Ying Ji 001 (J. Intell. Fuzzy Syst., 2020)

A Fuzzy Robust Weighted Approach for Multi-Criteria Bilevel Games. - Ying Ji 001; Shaojian Qu; Zhong Wu; Zhimin Liu (IEEE Trans. Ind. Informatics, 2020)

The mixed integer robust maximum expert consensus models for large-scale GDM under uncertainty circumstances. - Shaojian Qu; Yuanming Li; Ying Ji 001 (Appl. Soft Comput., 2021)

Minimum cost strategic weight assignment for multiple attribute decision-making problem using robust optimization approach. - Xiaowan Jin; Ying Ji 001; Shaojian Qu (Comput. Appl. Math., 2021)

Two-stage stochastic minimum cost consensus models with asymmetric adjustment costs. - Huanhuan Li 003; Ying Ji 001; Zaiwu Gong; Shaojian Qu (Inf. Fusion, 2021)

The optimal strategies in the supply chain with stochastic demand sensitivity to carbon emission. - Guoqing Jiang; Ying Ji 001; Zhong Wu; Mohamed Nabé (J. Control. Decis., 2021)

A mixed 0-1 programming approach for multiple attribute strategic weight manipulation based on uncertainty theory. - Ying Ji 001; Xiaowan Jin; Zeshui Xu; Shaojian Qu (J. Intell. Fuzzy Syst., 2021)

Two-stage stochastic integrated adjustment deviations and consensus models in an asymmetric costs context. - Huanhuan Li 003; Ying Ji 001; Shaojian Qu (J. Intell. Fuzzy Syst., 2021)

The Robust Cost Consensus Model with Interval-Valued Opinion and Uncertain Cost in Group Decision-Making. - Huijie Zhang; Ying Ji 001; Rong Yu; Shaojian Qu; Zexing Dai (Int. J. Fuzzy Syst., 2022)

The robust minimum cost consensus model with risk aversion. - Huijie Zhang; Ying Ji 001; Shaojian Qu; Huanhuan Li 003; Ripeng Huang (Inf. Sci., 2022)

A Robust Minimum-Cost Consensus Model With Uncertain Aggregation Weights Based on Data-Driven Method. - Yefan Han; Ying Ji 001; Shaojian Qu (IEEE Trans. Comput. Soc. Syst., 2022)

Data-driven product ranking: A hybrid ranking approach. - Ruijuan Geng; Ying Ji 001; Shaojian Qu; Zheng Wang (J. Intell. Fuzzy Syst., 2023)

Product competitiveness analysis from the perspective of customer perceived helpfulness: a novel method of information fusion research. - Zheng Wang; Ying Ji 001; Tao Zhang 033; Yuanming Li; Lun Wang; Shaojian Qu (Data Technol. Appl., 2023)

The Strategic Weight Manipulation Model in Uncertain Environment: A Robust Risk Optimization Approach. - Shaojian Qu; Lun Wang; Ying Ji 001; Lulu Zuo; Zheng Wang (Syst., 2023)

Online-Review-Driven Products Ranking: A Hybrid Approach. - Shaojian Qu; Yang Zhang; Ying Ji 001; Zheng Wang; Ruijuan Geng (Syst., 2023)

Data-driven robust cost consensus model with individual adjustment willingness in group decision-making. - Huijie Zhang; Ying Ji 001; Shaojian Qu; Huanhuan Li 003; Yuanming Li (Comput. Ind. Eng., 2023)

Large-scale group decision consensus under social network: A chance-constrained robust optimization-based minimum cost consensus model. - Yefan Han; Diego García-Zamora; Bapi Dutta; Ying Ji 001; Shaojian Qu; Luis Martínez 001 (Expert Syst. Appl., 2023)

The robust maximum expert consensus model with risk aversion. - Ying Ji 001; Yifan Ma (Inf. Fusion, 2023)

A robust minimum cost consensus model based on social networks considering conflict constraints. - Zelin Wang; Shaojian Qu; Zhisheng Peng; Zhenhua Dai; Yingying Zhou; Ying Ji 001 (Comput. Ind. Eng., 2024)

Robust two-stage optimization consensus models with uncertain costs. - Huanhuan Li 003; Ying Ji 001; Jieyu Ding; Shaojian Qu; Huijie Zhang; Yuanming Li; Yubing Liu (Eur. J. Oper. Res., 2024)

Maximum expert consensus model with uncertain adjustment costs for social network group decision making. - Yifan Ma; Ying Ji 001; Deqiang Qu; Xuyuan Zhang; Lun Wang (Inf. Fusion, 2024)

Data-driven distributionally robust support vector machine method for multiple criteria sorting problem with uncertainty. - Zhongming Wu; Ye Song; Ying Ji 001; Shaojian Qu; Zaiwu Gong (Appl. Soft Comput., 2024)

ELICIT information-based robust large-scale minimum cost consensus model under social networks. - Yefan Han; Bapi Dutta; Diego García-Zamora; Ying Ji 001; Shaojian Qu; Luis Martínez-López 001 (Appl. Soft Comput., 2025)

Multi-criteria group consensus model with risk aversion and minimum adjustment. - Jinghong Zhang; Shaojian Qu; Ying Ji 001 (Expert Syst. Appl., 2025)