Granular-computing based hybrid collaborative fuzzy clustering for long-term prediction of multiple gas holders levels. - Zhongyang Han; Jun Zhao 004; Quanli Liu; Wei Wang 036 (Inf. Sci., 2016)

Granular Model of Long-Term Prediction for Energy System in Steel Industry. - Jun Zhao 004; Zhongyang Han; Witold Pedrycz; Wei Wang 036 (IEEE Trans. Cybern., 2016)

An optimized oxygen system scheduling with electricity cost consideration in steel industry. - Zhongyang Han; Jun Zhao 004; Wei Wang 036 (IEEE CAA J. Autom. Sinica, 2017)

Adaptive Granulation-Based Prediction for Energy System of Steel Industry. - Tianyu Wang 002; Zhongyang Han; Jun Zhao 004; Wei Wang 036 (IEEE Trans. Cybern., 2018)

A Spark-Based Approach for High-Efficiency Embedded Feature Selection. - Fan Zhou 006; Zhongyang Han; Jun Zhao 004; Wei Wang 036 (DASC/PiCom/DataCom/CyberSciTech, 2019)

Surrogate-assisted particle swarm optimization algorithm with Pareto active learning for expensive multi-objective optimization. - Zhiming Lv; Linqing Wang; Zhongyang Han; Jun Zhao 004; Wei Wang 036 (IEEE CAA J. Autom. Sinica, 2019)

A Granular Computing-Based Hybrid Hierarchical Method for Construction of Long-Term Prediction Intervals for Gaseous System of Steel Industry. - Linqing Wang; Zhongyang Han; Witold Pedrycz; Jun Zhao 004; Wei Wang 036 (IEEE Access, 2020)

Variational inference based kernel dynamic Bayesian networks for construction of prediction intervals for industrial time series with incomplete input. - Long Chen 012; Linqing Wang; Zhongyang Han; Jun Zhao 004; Wei Wang 036 (IEEE CAA J. Autom. Sinica, 2020)

A hybrid granular-evolutionary computing method for cooperative scheduling optimization on integrated energy system in steel industry. - Zhongyang Han; Xinyu Zhang; Hongqi Zhang; Jun Zhao 004; Wei Wang 036 (Swarm Evol. Comput., 2022)

Hierarchical Granular Computing-Based Model and Its Reinforcement Structural Learning for Construction of Long-Term Prediction Intervals. - Zhongyang Han; Witold Pedrycz; Jun Zhao 004; Wei Wang 036 (IEEE Trans. Cybern., 2022)

A Multicriteria Evaluation and Cascaded Optimization Framework for Integrated Energy System of Steel Industry. - Ze Wang; Zhongyang Han; Jun Zhao 004; Wei Wang 036; Ying Liu 015 (IEEE Trans. Ind. Electron., 2023)

Ingredient Planning for Copper Industry: A Deep Reinforcement Learning-Based ε-Constrained Multi-Objective Optimization Framework. - Xuerui Zhang; Zhongyang Han; Zhiyuan Wang; Jun Zhao; Wei Wang 036 (CEC, 2024)

Distributed robust scheduling optimization for energy system of steel industry considering prediction uncertainties. - Zhiyuan Wang; Zhongyang Han; Jun Zhao; Wei Wang 036 (Inf. Sci., 2024)

Graph-Frequency Domain Kalman Filtering for Industrial Pipe Networks Subject to Measurement Outliers. - Lei Su; Zhongyang Han; Jun Zhao 004; Wei Wang 036 (IEEE Trans. Ind. Informatics, 2024)

A Multi-Stage Differential-Multifactorial Evolutionary Algorithm for Ingredient Optimization in the Copper Industry. - Xuerui Zhang; Zhongyang Han; Jun Zhao 004 (IEEE CAA J. Autom. Sinica, 2024)

An Uncertainty Involved Two-Stage Energy Optimization Framework Based on Deep Reinforcement Learning for Steel Enterprise. - Zhiyuan Wang; Zhongyang Han; Jun Zhao 004; Wei Wang 036 (IEEE Trans. Ind. Electron., 2025)