Application of Adaptable Neural Networks for Rolling Force Set-Up in Optimization of Rolling Schedules. - Jingming Yang; Haijun Che; Yajie Xu; Fuping Dou (ISNN (2), 2006)

Application of Neural Network on Rolling Force Self-learning for Tandem Cold Rolling Mills. - Jingming Yang; Haijun Che; Fuping Dou; Shuhui Liu (ISNN (1), 2007)

A differential evolution algorithm with self-adaptive strategy and control parameters based on symmetric Latin hypercube design for unconstrained optimization problems. - Zhiwei Zhao; Jingming Yang; Ziyu Hu; Haijun Che (Eur. J. Oper. Res., 2016)

An improved multi-objective evolutionary algorithm based on environmental and history information. - Ziyu Hu; Jingming Yang; Hao Sun 016; Lixin Wei; Zhiwei Zhao (Neurocomputing, 2017)

Multi-objective particle swarm optimization algorithm based on leader combination of decomposition and dominance. - Ziyu Hu; Jingming Yang; Huihui Cui; Hao Sun 016; Lixin Wei (J. Intell. Fuzzy Syst., 2017)

MOEA3D: a MOEA based on dominance and decomposition with probability distribution model. - Ziyu Hu; Jingming Yang; Huihui Cui; Lixin Wei; Rui Fan (Soft Comput., 2019)

Evolutionary many-objective optimization algorithm based on angle and clustering. - Zhijian Xiong; Jingming Yang; Ziyu Hu; Zhiwei Zhao; Xiaojing Wang (Appl. Intell., 2021)

Feature information prediction algorithm for dynamic multi-objective optimization problems. - Xuemin Ma; Jingming Yang; Hao Sun 016; Ziyu Hu; Lixin Wei (Eur. J. Oper. Res., 2021)

Multiregional co-evolutionary algorithm for dynamic multiobjective optimization. - Xuemin Ma; Jingming Yang; Hao Sun 016; Ziyu Hu; Lixin Wei (Inf. Sci., 2021)

Many-objective optimization algorithm based on adaptive reference vector. - Ziyu Hu; Xuemin Ma; Hao Sun 016; Jingming Yang; Zhiwei Zhao (J. Intell. Fuzzy Syst., 2021)

Short text matching model with multiway semantic interaction based on multi-granularity semantic embedding. - Xianlun Tang; Yang Luo; Deyi Xiong; Jingming Yang; Rui Li 066; Deguang Peng (Appl. Intell., 2022)

Knowledge-enhanced graph convolutional network for recommendation. - Xianlun Tang; Jingming Yang; Deyi Xiong; Yang Luo; Huimin Wang; Deguang Peng (Multim. Tools Appl., 2022)

A two stages prediction strategy for evolutionary dynamic multi-objective optimization. - Hao Sun 016; Xuemin Ma; Ziyu Hu; Jingming Yang; Huihui Cui (Appl. Intell., 2023)

Maximum angle evolutionary selection for many-objective optimization algorithm with adaptive reference vector. - Zhijian Xiong; Jingming Yang; Zhiwei Zhao; Yongqiang Wang; Zhigang Yang (J. Intell. Manuf., 2023)

Multi-spatial information joint guidance evolutionary algorithm for dynamic multi-objective optimization with a changing number of objectives. - Xuemin Ma; Hao Sun 016; Ziyu Hu; Lixin Wei; Jingming Yang (Neural Comput. Appl., 2023)

Double-space environmental change detection and response strategy for dynamic multi-objective optimize problem. - Xuemin Ma; Jingming Yang; Hao Sun 016; Ziyu Hu; Lixin Wei (Swarm Evol. Comput., 2024)

Decision space information driven algorithm for dynamic multiobjective optimization with a changing number of objectives. - Xuemin Ma; Hao Sun 016; Ziyu Hu; Lixin Wei; Jingming Yang (Int. J. Mach. Learn. Cybern., 2024)