A multi-objective feature selection based on differential evolution. - Yong Zhang 016; Miao Rong; Dunwei Gong (ICCAIS, 2015)

Multi-objective Differential Evolution Algorithm for Multi-label Feature Selection in Classification. - Yong Zhang 016; Dun-Wei Gong; Miao Rong (ICSI (1), 2015)

A Multi-direction Prediction Approach for Dynamic Multi-objective Optimization. - Miao Rong; Dun-Wei Gong; Yong Zhang 016 (ICIC (3), 2016)

Cooperative Co-evolutionary Algorithm for Dynamic Multi-objective Optimization Based on Environmental Variable Grouping. - Biao Xu; Yong Zhang 016; Dun-Wei Gong; Miao Rong (ICSI (1), 2016)

Interval Cost Feature Selection Using Multi-objective PSO and Linear Interval Programming. - Yong Zhang 016; Dun-Wei Gong; Miao Rong; Yi-Nan Guo 001 (ICSI (1), 2016)

Environment Sensitivity-Based Cooperative Co-Evolutionary Algorithms for Dynamic Multi-Objective Optimization. - Biao Xu; Yong Zhang 016; Dunwei Gong; Yi-Nan Guo 001; Miao Rong (IEEE ACM Trans. Comput. Biol. Bioinform., 2018)

Feature Selection and Its Use in Big Data: Challenges, Methods, and Trends. - Miao Rong; Dunwei Gong; Xiaozhi Gao 001 (IEEE Access, 2019)

Multidirectional Prediction Approach for Dynamic Multiobjective Optimization Problems. - Miao Rong; Dunwei Gong; Yong Zhang 016; Yaochu Jin; Witold Pedrycz (IEEE Trans. Cybern., 2019)

A Lagrangian Dual-based Theory-guided Deep Neural Network. - Miao Rong; Dongxiao Zhang; Nanzhe Wang (CoRR, 2020)

A Multimodel Prediction Method for Dynamic Multiobjective Evolutionary Optimization. - Miao Rong; Dunwei Gong; Witold Pedrycz; Ling Wang 001 (IEEE Trans. Evol. Comput., 2020)

Weak form theory-guided neural network (TgNN-wf) for deep learning of subsurface single- and two-phase flow. - Rui Xu; Dongxiao Zhang; Miao Rong; Nanzhe Wang (J. Comput. Phys., 2021)

Defect Detection of Tire Shoulder Belt Cord Joint Based on Periodic Texture. - Zhen Zhang; Chen Peng; Miao Rong; Liang Xiao (AsiaSim (1), 2022)

A Multi-action Reinforcement Learning Algorithm for Energy-efficiency Blocking Flow-shop Scheduling Problem. - Haizhu Bao; Quanke Pan; Miao Rong; Aolei Yang; Xiaohua Wang (CSCWD, 2023)

A composite weighted human learning network and its application for modeling of the intermediate point temperature in USC. - Chuanliang Cheng; Chen Peng; Miao Rong (Appl. Soft Comput., 2023)

Nondominated sorting genetic algorithm-II with Q-learning for the distributed permutation flowshop rescheduling problem. - Xin-Rui Tao; Quan-Ke Pan; Hongyan Sang; Liang Gao 001; Aolei Yang; Miao Rong (Knowl. Based Syst., 2023)

A multiobjective optimizer with a K-means cluster algorithm for a distributed flexible flowshop rescheduling problem. - Xin-Rui Tao; Quan-Ke Pan; Hongyan Sang; Miao Rong (Appl. Soft Comput., 2024)

A federated GAN network-based evolutionary constrained optimization approach to integrated coal mine energy system. - Na Hu; Chi Zhang; Miao Rong; Na Geng; Dunwei Gong (Inf. Sci., 2024)

A Prediction and Weak Coevolution-Based Dynamic Constrained Multiobjective Optimization. - Dunwei Gong; Miao Rong; Na Hu; Yan Wang 002; Witold Pedrycz; Shengxiang Yang (IEEE Trans. Evol. Comput., 2025)