Jun Zhao
Orcid: 0000-0002-3573-152XAffiliations:
- Dalian University of Technology, School of Control Science and Engineering, China (PhD 2008)
According to our database1,
Jun Zhao
authored at least 95 papers
between 2008 and 2024.
Collaborative distances:
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Bibliography
2024
A Multi-Stage Differential-Multifactorial Evolutionary Algorithm for Ingredient Optimization in the Copper Industry.
IEEE CAA J. Autom. Sinica, October, 2024
Mechanism and Data-Driven Dual Estimation of Coupling Hydraulic-Thermal States for Steam Heating Networks Considering Multi-Time-Scale Characteristics.
IEEE Trans. Cybern., August, 2024
Graph-Frequency Domain Kalman Filtering for Industrial Pipe Networks Subject to Measurement Outliers.
IEEE Trans. Ind. Informatics, May, 2024
A Condition Knowledge Representation and Feedback Learning Framework for Dynamic Optimization of Integrated Energy Systems.
IEEE Trans. Cybern., May, 2024
Interval Type-2 Fuzzy Deep Reinforcement Learning-Based Operational Optimization of Industrial Aerodynamic System.
IEEE Trans. Instrum. Meas., 2024
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., 2024
Hybrid Physics- and Data-Driven Dynamic State Estimation of Electricity-Heat Integrated Energy Systems.
IEEE Trans. Instrum. Meas., 2024
2023
Decomposition-Based Lin-Kernighan Heuristic With Neighborhood Structure Transfer for Multi/Many-Objective Traveling Salesman Problem.
IEEE Trans. Evol. Comput., December, 2023
Varying-scale HCA-DBSCAN-based anomaly detection method for multi-dimensional energy data in steel industry.
Inf. Sci., November, 2023
Multi-feature generation network-based imputation method for industrial data with high missing rate.
Expert Syst. Appl., October, 2023
Event-Triggered Distributed Consensus Filtering Based on Interval Analysis for Heterogeneous Multienergy Networks With Coupling Output Constraints.
IEEE Trans. Ind. Electron., August, 2023
A Novel Data-Driven Approach to Analysis and Optimal Design of Forced Periodic Operation of Chemical Reactions.
IEEE Trans. Ind. Electron., August, 2023
IEEE Trans. Emerg. Top. Comput. Intell., June, 2023
Hybrid Physics and Data-Driven Method for Modeling and Analysis of Electricity-Heat Integrated Energy Systems.
IEEE Syst. J., June, 2023
Distributed Adaptive Fuzzy Modeling for Industrial Gas-Electricity Networks With Multioperation Modes.
IEEE Trans. Ind. Informatics, May, 2023
Time series prediction with input noise based on the ESN and the EM and its industrial applications.
Expert Syst. Appl., May, 2023
Artif. Intell. Rev., April, 2023
A Multicriteria Evaluation and Cascaded Optimization Framework for Integrated Energy System of Steel Industry.
IEEE Trans. Ind. Electron., 2023
IEEE Trans. Ind. Electron., 2023
Unified Modeling for Multiple-Energy Coupling Device of Industrial Integrated Energy System.
IEEE Trans. Ind. Electron., 2023
A Dynamic Scheduling Framework for Byproduct Gas System Combining Expert Knowledge and Production Plan.
IEEE Trans Autom. Sci. Eng., 2023
2022
Embedded Feature Selection Based on Relevance Vector Machines With an Approximated Marginal Likelihood and its Industrial Application.
IEEE Trans. Syst. Man Cybern. Syst., 2022
Adaptive Weighted Optimization Framework for Multiobjective Long-Term Planning of Concentrate Ingredients in Copper Industry.
IEEE Trans. Instrum. Meas., 2022
Event-Triggered Adaptive Parameter Control for the Combined Cooling, Heating, and Power System.
IEEE Trans. Ind. Electron., 2022
Hierarchical Granular Computing-Based Model and Its Reinforcement Structural Learning for Construction of Long-Term Prediction Intervals.
IEEE Trans. Cybern., 2022
A hybrid granular-evolutionary computing method for cooperative scheduling optimization on integrated energy system in steel industry.
Swarm Evol. Comput., 2022
A probabilistic multi-criteria evaluation framework for integrated energy system planning.
Inf. Sci., 2022
Multi-stage dynamic optimization method for long-term planning of the concentrate ingredient in copper industry.
Inf. Sci., 2022
Associative reasoning-based interpretable continuous decision making in industrial production process.
Expert Syst. Appl., 2022
Proceedings of the 13th Asian Control Conference, 2022
2021
Granular-Based Multilayer Spatiotemporal Network With Control Gates for Energy Prediction of Steel Industry.
IEEE Trans. Instrum. Meas., 2021
A Gaussian Approximation of Marginal Likelihood in Relevance Vector Machine for Industrial Data With Input Noise.
IEEE Trans. Instrum. Meas., 2021
Spatiotemporal Prediction for Energy System of Steel Industry by Generalized Tensor Granularity Based Evolving Type-2 Fuzzy Neural Network.
IEEE Trans. Ind. Informatics, 2021
Distributed Control Scheme for Accurate Power Sharing and Fixed Frequency Operation in Islanded Microgrids.
IEEE Trans. Ind. Electron., 2021
Prediction Intervals for Granular Data Streams Based on Evolving Type-2 Fuzzy Granular Neural Network Dynamic Ensemble.
IEEE Trans. Fuzzy Syst., 2021
Granular Prediction and Dynamic Scheduling Based on Adaptive Dynamic Programming for the Blast Furnace Gas System.
IEEE Trans. Cybern., 2021
Relevance Vector Machines-Based Time Series Prediction for Incomplete Training Dataset: Two Comparative Approaches.
IEEE Trans. Cybern., 2021
An Adaptive Roller Speed Control Method Based on Monitoring Value of Real-Time Seed Flow Rate for Flute-Roller Type Seed-Metering Device.
Sensors, 2021
Inf. Sci., 2021
A scheduling approach with uncertainties in generation and consumption for converter gas system in steel industry.
Inf. Sci., 2021
A review of system modeling, assessment and operational optimization for integrated energy systems.
Sci. China Inf. Sci., 2021
Artif. Intell. Rev., 2021
2020
A Novel Semi-Supervised Sparse Bayesian Regression Based on Variational Inference for Industrial Datasets With Incomplete Outputs.
IEEE Trans. Syst. Man Cybern. Syst., 2020
Multiseries Featural LSTM for Partial Periodic Time-Series Prediction: A Case Study for Steel Industry.
IEEE Trans. Instrum. Meas., 2020
IEEE Trans. Fuzzy Syst., 2020
Granular-Causality-Based Byproduct Energy Scheduling for Energy-Intensive Enterprise.
IEEE Trans Autom. Sci. Eng., 2020
Variational inference based kernel dynamic Bayesian networks for construction of prediction intervals for industrial time series with incomplete input.
IEEE CAA J. Autom. Sinica, 2020
A deep granular network with adaptive unequal-length granulation strategy for long-term time series forecasting and its industrial applications.
Artif. Intell. Rev., 2020
A Granular Computing-Based Hybrid Hierarchical Method for Construction of Long-Term Prediction Intervals for Gaseous System of Steel Industry.
IEEE Access, 2020
Proceedings of the Advances in Neural Networks - ISNN 2020, 2020
A Multi-objective Simulated Annealing Algorithm-based Coal Blending Optimization Approach in Coking Process.
Proceedings of the IEEE Intl Conf on Dependable, 2020
2019
Variational Inference-Based Automatic Relevance Determination Kernel for Embedded Feature Selection of Noisy Industrial Data.
IEEE Trans. Ind. Electron., 2019
Development and Experimental Analysis of a Seeding Quantity Sensor for the Precision Seeding of Small Seeds.
Sensors, 2019
Hyperpath-based vehicle routing and scheduling method in time-varying networks for airport shuttle service.
Nat. Comput., 2019
Surrogate-assisted particle swarm optimization algorithm with Pareto active learning for expensive multi-objective optimization.
IEEE CAA J. Autom. Sinica, 2019
Time Series Prediction With Incomplete Dataset Based on Deep Bidirectional Echo State Network.
IEEE Access, 2019
Proceedings of the 2019 IEEE Intl Conf on Dependable, 2019
Event-triggered distributed optimal consensus control for multi-agent systems with actuator saturation.
Proceedings of the 12th Asian Control Conference, 2019
2018
IEEE Trans. Cybern., 2018
Time-Variant Consensus Tracking Control for Networked Planar Multi-Agent Systems with Non-Holonomic Constraints.
J. Syst. Sci. Complex., 2018
IEEE CAA J. Autom. Sinica, 2018
Target-Oriented Granular Inference with Evolutionary Updating for Converter Gas Scheduling.
Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018
Springer, ISBN: 978-3-319-94050-2, 2018
2017
IEEE Trans Autom. Sci. Eng., 2017
Map-reduce framework-based non-iterative granular echo state network for prediction intervals construction.
Neurocomputing, 2017
An optimized oxygen system scheduling with electricity cost consideration in steel industry.
IEEE CAA J. Autom. Sinica, 2017
Proceedings of the IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society, Beijing, China, October 29, 2017
Proceedings of the IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society, Beijing, China, October 29, 2017
Proceedings of the 13th IEEE Conference on Automation Science and Engineering, 2017
Joint distribution adaptation-based transfer learning for status classification of blast furnace gas pipeline network.
Proceedings of the 11th Asian Control Conference, 2017
Improved dynamic time warping algorithm with adaptive scaling for steel plate thickness matching.
Proceedings of the 11th Asian Control Conference, 2017
2016
IEEE Trans. Cybern., 2016
Data imputation for gas flow data in steel industry based on non-equal-length granules correlation coefficient.
Inf. Sci., 2016
Granular-computing based hybrid collaborative fuzzy clustering for long-term prediction of multiple gas holders levels.
Inf. Sci., 2016
Prediction intervals for industrial data with incomplete input using kernel-based dynamic Bayesian networks.
Artif. Intell. Rev., 2016
2015
Soft computing for overflow particle size in grinding process based on hybrid case based reasoning.
Appl. Soft Comput., 2015
Proceedings of the 10th Asian Control Conference, 2015
Subset fusion based T-S fuzzy modeling for blast furnace gas system in steel industry.
Proceedings of the 10th Asian Control Conference, 2015
2014
A Bayesian Networks Structure Learning and Reasoning-Based Byproduct Gas Scheduling in Steel Industry.
IEEE Trans Autom. Sci. Eng., 2014
Adaptive fuzzy clustering based anomaly data detection in energy system of steel industry.
Inf. Sci., 2014
Long term prediction for generation amount of Converter gas based on steelmaking production status estimation.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2014
2013
Prediction Intervals for a Noisy Nonlinear Time Series Based on a Bootstrapping Reservoir Computing Network Ensemble.
IEEE Trans. Neural Networks Learn. Syst., 2013
Extended Kalman filter-based Elman networks for industrial time series prediction with GPU acceleration.
Neurocomputing, 2013
Extended Kalman Filter Based Echo State Network for Time Series Prediction using MapReduce Framework.
Proceedings of the IEEE 9th International Conference on Mobile Ad-hoc and Sensor Networks, 2013
2012
Hybrid Neural Prediction and Optimized Adjustment for Coke Oven Gas System in Steel Industry.
IEEE Trans. Neural Networks Learn. Syst., 2012
Effective Noise Estimation-Based Online Prediction for Byproduct Gas System in Steel Industry.
IEEE Trans. Ind. Informatics, 2012
Online Parameter Optimization-Based Prediction for Converter Gas System by Parallel Strategies.
IEEE Trans. Control. Syst. Technol., 2012
Asynchronous <i>H</i><sub>∞</sub> control of switched delay systems with average dwell time.
J. Frankl. Inst., 2012
Inf. Sci., 2012
Prediction for noisy nonlinear time series by echo state network based on dual estimation.
Neurocomputing, 2012
2011
A Two-Stage Online Prediction Method for a Blast Furnace Gas System and Its Application.
IEEE Trans. Control. Syst. Technol., 2011
A parallel immune algorithm for traveling salesman problem and its application on cold rolling scheduling.
Inf. Sci., 2011
An optimal method for prediction and adjustment on byproduct gas holder in steel industry.
Expert Syst. Appl., 2011
2008
IEEE Trans. Syst. Man Cybern. Part B, 2008