Zhongyang Han

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 14

Top Topics

Kalman Filtering

Structural Learning

Granular Computing

Top Venues

IEEE Trans. Cybern.

IEEE CAA J. Autom. Sinica

Swarm Evol. Comput.

Publications

Zhiyuan Wang, Zhongyang Han, Jun Zhao, Wei Wang
Distributed robust scheduling optimization for energy system of steel industry considering prediction uncertainties. Inf. Sci. 666 (2024)
Xuerui Zhang, Zhongyang Han, Zhiyuan Wang, Jun Zhao, Wei Wang
Ingredient Planning for Copper Industry: A Deep Reinforcement Learning-Based ε-Constrained Multi-Objective Optimization Framework. CEC (2024)
Lei Su, Zhongyang Han, Jun Zhao, Wei Wang
Graph-Frequency Domain Kalman Filtering for Industrial Pipe Networks Subject to Measurement Outliers. IEEE Trans. Ind. Informatics 20 (5) (2024)
Ze Wang, Zhongyang Han, Jun Zhao, Wei Wang, Ying Liu
A Multicriteria Evaluation and Cascaded Optimization Framework for Integrated Energy System of Steel Industry. IEEE Trans. Ind. Electron. 70 (5) (2023)
Zhongyang Han, Witold Pedrycz, Jun Zhao, Wei Wang
Hierarchical Granular Computing-Based Model and Its Reinforcement Structural Learning for Construction of Long-Term Prediction Intervals. IEEE Trans. Cybern. 52 (1) (2022)
Zhongyang Han, Xinyu Zhang, Hongqi Zhang, Jun Zhao, Wei Wang
A hybrid granular-evolutionary computing method for cooperative scheduling optimization on integrated energy system in steel industry. Swarm Evol. Comput. 73 (2022)
Long Chen, Linqing Wang, Zhongyang Han, Jun Zhao, Wei Wang
Variational inference based kernel dynamic Bayesian networks for construction of prediction intervals for industrial time series with incomplete input. IEEE CAA J. Autom. Sinica 7 (5) (2020)
Linqing Wang, Zhongyang Han, Witold Pedrycz, Jun Zhao, Wei Wang
A Granular Computing-Based Hybrid Hierarchical Method for Construction of Long-Term Prediction Intervals for Gaseous System of Steel Industry. IEEE Access 8 (2020)
Zhiming Lv, Linqing Wang, Zhongyang Han, Jun Zhao, Wei Wang
Surrogate-assisted particle swarm optimization algorithm with Pareto active learning for expensive multi-objective optimization. IEEE CAA J. Autom. Sinica 6 (3) (2019)
Fan Zhou, Zhongyang Han, Jun Zhao, Wei Wang
A Spark-Based Approach for High-Efficiency Embedded Feature Selection. DASC/PiCom/DataCom/CyberSciTech (2019)
Tianyu Wang, Zhongyang Han, Jun Zhao, Wei Wang
Adaptive Granulation-Based Prediction for Energy System of Steel Industry. IEEE Trans. Cybern. 48 (1) (2018)
Zhongyang Han, Jun Zhao, Wei Wang
An optimized oxygen system scheduling with electricity cost consideration in steel industry. IEEE CAA J. Autom. Sinica 4 (2) (2017)
Zhongyang Han, Jun Zhao, Quanli Liu, Wei Wang
Granular-computing based hybrid collaborative fuzzy clustering for long-term prediction of multiple gas holders levels. Inf. Sci. 330 (2016)
Jun Zhao, Zhongyang Han, Witold Pedrycz, Wei Wang
Granular Model of Long-Term Prediction for Energy System in Steel Industry. IEEE Trans. Cybern. 46 (2) (2016)