Jun Zhao

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 66

Top Topics

Prediction Intervals

Bayesian Networks

Top Venues

IEEE Trans. Ind. Electron.

IEEE Trans. Instrum. Meas.

IEEE Trans. Cybern.

Publications

Lulu Zhong, Yang Liu, Linqing Wang, Jun Zhao, Wei Wang
Interval Type-2 Fuzzy Deep Reinforcement Learning-Based Operational Optimization of Industrial Aerodynamic System. IEEE Trans. Instrum. Meas. 73 (2024)
Long Chen, Chun Qin, Jun Zhao, Wei Wang
Hybrid Physics- and Data-Driven Dynamic State Estimation of Electricity-Heat Integrated Energy Systems. IEEE Trans. Instrum. Meas. 73 (2024)
Wange Li, Long Chen, Jun Zhao, Wei Wang
Mechanism and Data-Driven Dual Estimation of Coupling Hydraulic-Thermal States for Steam Heating Networks Considering Multi-Time-Scale Characteristics. IEEE Trans. Cybern. 54 (8) (2024)
Tianyu Wang, Jun Zhao, Henry Leung, Wei Wang
A Condition Knowledge Representation and Feedback Learning Framework for Dynamic Optimization of Integrated Energy Systems. IEEE Trans. Cybern. 54 (5) (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)
Demin Xu, Feng Jin, Fan Zhou, Jun Zhao, Wei Wang
Active Fault Diagnosis Based on Dual-Observer for Leakage Detection and Estimation With Adaptive Auxiliary Signal Mechanism in Industrial Gas Networks. IEEE Trans. Instrum. Meas. 73 (2024)
Tianyu Wang, Jun Zhao, Qingshan Xu, Witold Pedrycz, Wei Wang
A Dynamic Scheduling Framework for Byproduct Gas System Combining Expert Knowledge and Production Plan. IEEE Trans Autom. Sci. Eng. 20 (1) (2023)
Yang Liu, Jun Zhao, Linqing Wang, Wei Wang
Unified Modeling for Multiple-Energy Coupling Device of Industrial Integrated Energy System. IEEE Trans. Ind. Electron. 70 (1) (2023)
Zhenhua Li, Huilin Cheng, Xinye Cai, Jun Zhao, Qingfu Zhang
SA-ES: Subspace Activation Evolution Strategy for Black-Box Adversarial Attacks. IEEE Trans. Emerg. Top. Comput. Intell. 7 (3) (2023)
Lei Su, Jun Zhao, Wei Wang
Distributed Adaptive Fuzzy Modeling for Industrial Gas-Electricity Networks With Multioperation Modes. IEEE Trans. Ind. Informatics 19 (5) (2023)
Lei Su, Jun Zhao, Wei Wang
Event-Triggered Distributed Consensus Filtering Based on Interval Analysis for Heterogeneous Multienergy Networks With Coupling Output Constraints. IEEE Trans. Ind. Electron. 70 (8) (2023)
Yuhan Dong, Zi-Qiang Lang, Jun Zhao, Wei Wang, Zhong Lan
A Novel Data-Driven Approach to Analysis and Optimal Design of Forced Periodic Operation of Chemical Reactions. IEEE Trans. Ind. Electron. 70 (8) (2023)
Chun Qin, Jun Zhao, Wei Wang
Hybrid Physics and Data-Driven Method for Modeling and Analysis of Electricity-Heat Integrated Energy Systems. IEEE Syst. J. 17 (2) (2023)
Xinye Cai, Kang Wang, Yi Mei, Zhenhua Li, Jun Zhao, Qingfu Zhang
Decomposition-Based Lin-Kernighan Heuristic With Neighborhood Structure Transfer for Multi/Many-Objective Traveling Salesman Problem. IEEE Trans. Evol. Comput. 27 (6) (2023)
Yanwei Zhai, Zheng Lv, Jun Zhao, Wei Wang
Knowledge discovery and variable scale evaluation for long series data. Artif. Intell. Rev. 56 (4) (2023)
Yang Liu, Jun Zhao, Linqing Wang, Wei Wang
Event-Triggered Online Scheduling for Industrial-Integrated Energy System. IEEE Trans. Ind. Electron. 70 (4) (2023)
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)
Yang Liu, Jun Zhao, Wei Wang
Event-Triggered Adaptive Parameter Control for the Combined Cooling, Heating, and Power System. IEEE Trans. Ind. Electron. 69 (12) (2022)
Yanwei Zhai, Zheng Lv, Jun Zhao, Wei Wang, Henry Leung
Associative reasoning-based interpretable continuous decision making in industrial production process. Expert Syst. Appl. 204 (2022)
Wange Li, Long Chen, Jun Zhao, Wei Wang
Embedded Feature Selection Based on Relevance Vector Machines With an Approximated Marginal Likelihood and its Industrial Application. IEEE Trans. Syst. Man Cybern. Syst. 52 (4) (2022)
Fan Zhou, Long Chen, Jun Zhao, Wei Wang
A probabilistic multi-criteria evaluation framework for integrated energy system planning. Inf. Sci. 610 (2022)
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)
Hongqi Zhang, Jun Zhao, Henry Leung, Wei Wang
Multi-stage dynamic optimization method for long-term planning of the concentrate ingredient in copper industry. Inf. Sci. 605 (2022)
Hongqi Zhang, Jun Zhao, Henry Leung, Wei Wang
Adaptive Weighted Optimization Framework for Multiobjective Long-Term Planning of Concentrate Ingredients in Copper Industry. IEEE Trans. Instrum. Meas. 71 (2022)
Long Chen, Jun Zhao, Wei Wang, Qingshan Xu
A Gaussian Approximation of Marginal Likelihood in Relevance Vector Machine for Industrial Data With Input Noise. IEEE Trans. Instrum. Meas. 70 (2021)
Feng Jin, Jun Zhao, Ying Liu, Wei Wang, Qingshan Xu
A scheduling approach with uncertainties in generation and consumption for converter gas system in steel industry. Inf. Sci. 546 (2021)
Ying Liu, Yifei Wang, Long Chen, Jun Zhao, Wei Wang, Quanli Liu
Incremental Bayesian broad learning system and its industrial application. Artif. Intell. Rev. 54 (5) (2021)
Long Chen, Linqing Wang, Jun Zhao, Wei Wang
Relevance Vector Machines-Based Time Series Prediction for Incomplete Training Dataset: Two Comparative Approaches. IEEE Trans. Cybern. 51 (8) (2021)
Jun Zhao, Long Chen, Yinan Wang, Quanli Liu
A review of system modeling, assessment and operational optimization for integrated energy systems. Sci. China Inf. Sci. 64 (9) (2021)
Jun Zhao, Tianyu Wang, Witold Pedrycz, Wei Wang
Granular Prediction and Dynamic Scheduling Based on Adaptive Dynamic Programming for the Blast Furnace Gas System. IEEE Trans. Cybern. 51 (4) (2021)
Jun Zhao, Yang Liu, Witold Pedrycz, Wei Wang
Spatiotemporal Prediction for Energy System of Steel Industry by Generalized Tensor Granularity Based Evolving Type-2 Fuzzy Neural Network. IEEE Trans. Ind. Informatics 17 (12) (2021)
Haiya Qian, Qingshan Xu, Pengwei Du, Yuanxing Xia, Jun Zhao
Distributed Control Scheme for Accurate Power Sharing and Fixed Frequency Operation in Islanded Microgrids. IEEE Trans. Ind. Electron. 68 (12) (2021)
Yanwei Zhai, Zheng Lv, Jun Zhao, Wei Wang, Henry Leung
Data-driven inference modeling based on an on-line Wang-Mendel fuzzy approach. Inf. Sci. 551 (2021)
Tianyu Wang, Jun Zhao, Quanli Liu, Wei Wang
Granular-Based Multilayer Spatiotemporal Network With Control Gates for Energy Prediction of Steel Industry. IEEE Trans. Instrum. Meas. 70 (2021)
Yang Liu, Jun Zhao, Wei Wang, Witold Pedrycz
Prediction Intervals for Granular Data Streams Based on Evolving Type-2 Fuzzy Granular Neural Network Dynamic Ensemble. IEEE Trans. Fuzzy Syst. 29 (4) (2021)
Tianyu Wang, Henry Leung, Jun Zhao, Wei Wang
Multiseries Featural LSTM for Partial Periodic Time-Series Prediction: A Case Study for Steel Industry. IEEE Trans. Instrum. Meas. 69 (9) (2020)
Long Chen, Xiaojuan Zhang, Jun Zhao, Wei Wang
Spark Parallel Acceleration-Based Optimal Scheduling for Air Compressor Group. ISNN (2020)
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)
Feng Jin, Linqing Wang, Jun Zhao, Wei Wang, Quanli Liu
Granular-Causality-Based Byproduct Energy Scheduling for Energy-Intensive Enterprise. IEEE Trans Autom. Sci. Eng. 17 (4) (2020)
Jinkai Zi, Feng Jin, Jun Zhao, Wei Wang, Quanli Liu
A Multi-objective Simulated Annealing Algorithm-based Coal Blending Optimization Approach in Coking Process. DASC/PiCom/CBDCom/CyberSciTech (2020)
Jun Zhao, Yang Liu, Linqing Wang, Wei Wang
A Generalized Heterogeneous Type-2 Fuzzy Classifier and Its Industrial Application. IEEE Trans. Fuzzy Syst. 28 (10) (2020)
Jun Zhao, Long Chen, Witold Pedrycz, Wei Wang
A Novel Semi-Supervised Sparse Bayesian Regression Based on Variational Inference for Industrial Datasets With Incomplete Outputs. IEEE Trans. Syst. Man Cybern. Syst. 50 (11) (2020)
Qiang Wang, Long Chen, Jun Zhao, Wei Wang
A deep granular network with adaptive unequal-length granulation strategy for long-term time series forecasting and its industrial applications. Artif. Intell. Rev. 53 (7) (2020)
Jun Zhao, Long Chen, Witold Pedrycz, Wei Wang
Variational Inference-Based Automatic Relevance Determination Kernel for Embedded Feature Selection of Noisy Industrial Data. IEEE Trans. Ind. Electron. 66 (1) (2019)
Dong Wang, Yun Huang, Wei Wang, Jun Zhao, Linqing Wang
Event-triggered distributed optimal consensus control for multi-agent systems with actuator saturation. ASCC (2019)
Linqing Wang, Jun Zhao, Wang Wei
Hyperpath-based vehicle routing and scheduling method in time-varying networks for airport shuttle service. Nat. Comput. 18 (4) (2019)
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)
Qiang Wang, Linqing Wang, Ying Liu, Jun Zhao, Wei Wang
Time Series Prediction With Incomplete Dataset Based on Deep Bidirectional Echo State Network. IEEE Access 7 (2019)
Zhiming Lv, Jun Zhao, Wei Wang, Quanli Liu
A multiple surrogates based PSO algorithm. Artif. Intell. Rev. 52 (4) (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)
Feng Jin, Jun Zhao, Chunyang Sheng, Wei Wang
Causality diagram-based scheduling approach for blast furnace gas system. IEEE CAA J. Autom. Sinica 5 (2) (2018)
Tianyu Wang, Jun Zhao, Wei Wang, Ying Liu, Ge Guo
Target-Oriented Granular Inference with Evolutionary Updating for Converter Gas Scheduling. CEC (2018)
Xiaohan Song, Zheng Lv, Jun Zhao, Wei Wang, Linqing Wang
Improved dynamic time warping algorithm with adaptive scaling for steel plate thickness matching. ASCC (2017)
Jun Zhao, Chunyang Sheng, Wei Wang, Witold Pedrycz, Quanli Liu
Data-based predictive optimization for by product gas system in steel industry. CASE (2017)
Zhiming Lv, Jun Zhao, Wei Wang
A multi-objective particle swarm algorithm based on the active learning approach. IECON (2017)
Xiaohan Song, Jun Zhao, Wei Wang
Fast generalized reduced gradient algorithm based data reconciliation model. IECON (2017)
Jun Zhao, Chunyang Sheng, Wei Wang, Witold Pedrycz, Quanli Liu
Data-Based Predictive Optimization for Byproduct Gas System in Steel Industry. IEEE Trans Autom. Sci. Eng. 14 (4) (2017)
Chunyang Sheng, Jun Zhao, Wei Wang
Map-reduce framework-based non-iterative granular echo state network for prediction intervals construction. Neurocomputing 222 (2017)
Jian Sun, Zheng Lv, Jun Zhao, Wei Wang, Linqing Wang, Ge Guo
Joint distribution adaptation-based transfer learning for status classification of blast furnace gas pipeline network. ASCC (2017)
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)
Zheng Lv, Jun Zhao, Ying Liu, Wei Wang
Data imputation for gas flow data in steel industry based on non-equal-length granules correlation coefficient. Inf. Sci. (2016)
Long Chen, Ying Liu, Jun Zhao, Wei Wang, Quanli Liu
Prediction intervals for industrial data with incomplete input using kernel-based dynamic Bayesian networks. Artif. Intell. Rev. 46 (3) (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)
Zheng Lv, Ying Liu, Jun Zhao, Wei Wang
Soft computing for overflow particle size in grinding process based on hybrid case based reasoning. Appl. Soft Comput. 27 (2015)
Linqing Wang, Jun Zhao, Wei Wang, Zili Zhan
Genetic algorithm for regionalization problem with adaptive equity constraint. ASCC (2015)
Zheng Lv, Jun Zhao, Wei Wang, Ying Liu, Linqing Wang
Subset fusion based T-S fuzzy modeling for blast furnace gas system in steel industry. ASCC (2015)
Xiaoyan Tang, Jun Zhao, Chunyang Sheng, Wei Wang
Long term prediction for generation amount of Converter gas based on steelmaking production status estimation. FUZZ-IEEE (2014)
Jun Zhao, Wei Wang, Kan Sun, Ying Liu
A Bayesian Networks Structure Learning and Reasoning-Based Byproduct Gas Scheduling in Steel Industry. IEEE Trans Autom. Sci. Eng. 11 (4) (2014)
Jun Zhao, Kai Liu, Wei Wang, Ying Liu
Adaptive fuzzy clustering based anomaly data detection in energy system of steel industry. Inf. Sci. 259 (2014)
Jun Zhao, Xiaoliang Zhu, Wei Wang, Ying Liu
Extended Kalman filter-based Elman networks for industrial time series prediction with GPU acceleration. Neurocomputing 118 (2013)
Chunyang Sheng, Jun Zhao, Wei Wang, Henry Leung
Prediction Intervals for a Noisy Nonlinear Time Series Based on a Bootstrapping Reservoir Computing Network Ensemble. IEEE Trans. Neural Networks Learn. Syst. 24 (7) (2013)
Chunyang Sheng, Jun Zhao, Henry Leung, Wei Wang
Extended Kalman Filter Based Echo State Network for Time Series Prediction using MapReduce Framework. MSN (2013)
Chunyang Sheng, Jun Zhao, Ying Liu, Wei Wang
Prediction for noisy nonlinear time series by echo state network based on dual estimation. Neurocomputing 82 (2012)
Yue-E Wang, Xi-Ming Sun, Jun Zhao
control of switched delay systems with average dwell time. J. Frankl. Inst. 349 (10) (2012)
Jun Zhao, Quanli Liu, Wei Wang, Witold Pedrycz, Liqun Cong
Hybrid Neural Prediction and Optimized Adjustment for Coke Oven Gas System in Steel Industry. IEEE Trans. Neural Networks Learn. Syst. 23 (3) (2012)
Jun Zhao, Quanli Liu, Witold Pedrycz, Dexiang Li
Effective Noise Estimation-Based Online Prediction for Byproduct Gas System in Steel Industry. IEEE Trans. Ind. Informatics 8 (4) (2012)
Ying Liu, Quanli Liu, Wei Wang, Jun Zhao, Henry Leung
Data-driven based model for flow prediction of steam system in steel industry. Inf. Sci. 193 (2012)
Jun Zhao, Wei Wang, Witold Pedrycz, Xiangwei Tian
Online Parameter Optimization-Based Prediction for Converter Gas System by Parallel Strategies. IEEE Trans. Control. Syst. Technol. 20 (3) (2012)
Jun Zhao, Quanli Liu, Wei Wang, Zhuoqun Wei, Peng Shi
A parallel immune algorithm for traveling salesman problem and its application on cold rolling scheduling. Inf. Sci. 181 (7) (2011)
Xiaoping Zhang, Jun Zhao, Wei Wang, Liqun Cong, Weimin Feng
An optimal method for prediction and adjustment on byproduct gas holder in steel industry. Expert Syst. Appl. 38 (4) (2011)
Jun Zhao, Wei Wang, Ying Liu, Witold Pedrycz
A Two-Stage Online Prediction Method for a Blast Furnace Gas System and Its Application. IEEE Trans. Control. Syst. Technol. 19 (3) (2011)
Xi-Ming Sun, Wei Wang, Guo-Ping Liu, Jun Zhao
Stability Analysis for Linear Switched Systems With Time-Varying Delay. IEEE Trans. Syst. Man Cybern. Part B 38 (2) (2008)