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Jun Zhao 0004
Person information
- affiliation (PhD 2008): Dalian University of Technology, School of Control Science and Engineering, China
Other persons with the same name
- Jun Zhao — disambiguation page
- Jun Zhao 0001 — Chinese Academy of Sciences, Institute of Automation, National Laboratory of Pattern Recognition, Beijing, China
- Jun Zhao 0002 — Northeastern University, State Key Laboratory of Synthetical Automation for Process Industries, Shenyang, China (and 1 more)
- Jun Zhao 0003 — Oxford University, Department of Computer Science, UK (and 3 more)
- Jun Zhao 0005 — Lattice Semiconductor (and 1 more)
- Jun Zhao 0006 — University of Minnesota, Institute for Mathematics and its Applications (and 1 more)
- Jun Zhao 0007 — Nanyang Technological University, School of Computer Science and Engineering, Singapore (and 1 more)
- Jun Zhao 0008 — Zhejiang University, State Key Lab of Industrial Control Technolog
- Jun Zhao 0009 — Zhejiang University, Zhejiang Key Laboratory of Service Robots
- Jun Zhao 0010 — Shanghai Jiaotong University, Department of Biomedical Engineering, China
- Jun Zhao 0011 — Shandong University, School of Mechanical Engineering
- Jun Zhao 0012 — Beijing University of Posts and Telecommunications, Beijing Key Laboratory of Network System Architecture and Convergence, China
- Jun Zhao 0013 — Masdar Institute of Science and Technology, Masdar City, UAE
- Jun Zhao 0014 — Northwest Normal University, College of Geography and Environment Sciences, Lanzhou, China
- Jun Zhao 0015 — Kunming University of Science and Technology, Faculty of Mechanical and Electrical Engineering, Kunming, China
- Jun Zhao 0016 (aka: Jun Raymond Zhao) — Jet.com/Walmart Labs, Hoboken, NJ, USA
- Jun Zhao 0017 — Beihang University, School of Computer Science and Engineering, China
- Jun Zhao 0018 — Tongji University, College of Electronic and Information Engineering, Shanghai, China (and 1 more)
- Jun Zhao 0019 — Fudan University, School of Computer Science, Shanghai Key Laboratory of Intelligent Information Processing, China
- Jun Zhao 0020 — University of Hong Kong, Department of Industrial and Manufacturing Systems Engineering, Hong Kong
- Jun Zhao 0021 — Southeast University, School of Electronics Science and Engineering, National and Local Joint Engineering Research Center for Optical Sensing/Communications Integrated Networking, Nanjing, China (and 1 more)
Other persons with a similar name
- Zhao Jun
- Jun-Zhao Sun
- Fujun Zhao (aka: Fu-Jun Zhao) — disambiguation page
- Jun-Juan Zhao (aka: Junjuan Zhao) — Shanghai University, China
- Lijun Zhao (aka: Li-jun Zhao, Li-Jun Zhao) — disambiguation page
- Tiejun Zhao (aka: Tie-Jun Zhao)
- Xiangjun Zhao (aka: Xiang-Jun Zhao)
- Xuejun Zhao (aka: Xue Jun Zhao)
- Fujun Zhao 0001 (aka: Fu-Jun Zhao 0001) — High-Tech Institute of Xi'an, College of Automation, China
- Lijun Zhao 0001 (aka: Li-jun Zhao 0001, Li-Jun Zhao 0001) — Chinese Academy of Sciences, Institute of Remote Sensing and Digital Earth, Beijing, China
- show all similar names
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2020 – today
- 2024
- [j79]Xuerui Zhang, Zhongyang Han, Jun Zhao:
A Multi-Stage Differential-Multifactorial Evolutionary Algorithm for Ingredient Optimization in the Copper Industry. IEEE CAA J. Autom. Sinica 11(10): 2135-2153 (2024) - [j78]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): 2880-2890 (2024) - [j77]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): 4567-4580 (2024) - [j76]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): 7977-7985 (2024) - [j75]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: 1-13 (2024) - [j74]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: 1-11 (2024) - [j73]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: 1-13 (2024) - 2023
- [j72]Yanwei Zhai, Zheng Lv, Jun Zhao, Wei Wang:
Knowledge discovery and variable scale evaluation for long series data. Artif. Intell. Rev. 56(4): 3157-3180 (2023) - [j71]Ying Liu, Long Chen, Yunchong Li, Jun Zhao, Wei Wang:
Time series prediction with input noise based on the ESN and the EM and its industrial applications. Expert Syst. Appl. 217: 119591 (2023) - [j70]Zheng Lv, Kai Chen, Tai Zhang, Jun Zhao, Wei Wang:
Multi-feature generation network-based imputation method for industrial data with high missing rate. Expert Syst. Appl. 227: 120229 (2023) - [j69]Feng Jin, Hao Wu, Yang Liu, Jun Zhao, Wei Wang:
Varying-scale HCA-DBSCAN-based anomaly detection method for multi-dimensional energy data in steel industry. Inf. Sci. 647: 119479 (2023) - [j68]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): 2847-2857 (2023) - [j67]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): 541-552 (2023) - [j66]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): 1604-1617 (2023) - [j65]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): 780-790 (2023) - [j64]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): 1005-1015 (2023) - [j63]Yang Liu, Jun Zhao, Linqing Wang, Wei Wang:
Event-Triggered Online Scheduling for Industrial-Integrated Energy System. IEEE Trans. Ind. Electron. 70(4): 4027-4037 (2023) - [j62]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): 5296-5306 (2023) - [j61]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): 8296-8304 (2023) - [j60]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): 8365-8376 (2023) - [j59]Lei Su, Jun Zhao, Wei Wang:
Distributed Adaptive Fuzzy Modeling for Industrial Gas-Electricity Networks With Multioperation Modes. IEEE Trans. Ind. Informatics 19(5): 6647-6658 (2023) - 2022
- [j58]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: 117585 (2022) - [j57]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: 333-350 (2022) - [j56]Fan Zhou, Long Chen, Jun Zhao, Wei Wang:
A probabilistic multi-criteria evaluation framework for integrated energy system planning. Inf. Sci. 610: 156-170 (2022) - [j55]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: 101123 (2022) - [j54]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): 666-676 (2022) - [j53]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): 13881-13890 (2022) - [j52]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: 1-13 (2022) - [j51]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): 2601-2614 (2022) - [c15]Ying Liu, Yunchong Li, Long Chen, Jun Zhao, Wei Wang:
Multiple imputation based on Bayesian principal component analysis and bootstrap. ASCC 2022: 817-822 - 2021
- [j50]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): 3517-3537 (2021) - [j49]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) - [j48]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: 312-328 (2021) - [j47]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: 113-127 (2021) - [j46]Wei Liu, Jianping Hu, Xingsheng Zhao, Mengjiao Yao, Imran Ali Lakhiar, Jun Zhao, Jiaxin Liu, Wei Wang:
An Adaptive Roller Speed Control Method Based on Monitoring Value of Real-Time Seed Flow Rate for Flute-Roller Type Seed-Metering Device. Sensors 21(1): 80 (2021) - [j45]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): 2201-2214 (2021) - [j44]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): 4298-4311 (2021) - [j43]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): 874-888 (2021) - [j42]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): 12229-12238 (2021) - [j41]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): 7933-7945 (2021) - [j40]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: 1-12 (2021) - [j39]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: 1-12 (2021) - 2020
- [j38]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: 63538-63550 (2020) - [j37]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): 5353-5381 (2020) - [j36]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): 1437-1445 (2020) - [j35]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): 1662-1673 (2020) - [j34]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): 2287-2301 (2020) - [j33]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): 5994-6003 (2020) - [j32]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): 4773-4786 (2020) - [c14]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: 103-109 - [c13]Long Chen, Xiaojuan Zhang, Jun Zhao, Wei Wang:
Spark Parallel Acceleration-Based Optimal Scheduling for Air Compressor Group. ISNN 2020: 25-36
2010 – 2019
- 2019
- [j31]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: 152533-152544 (2019) - [j30]Zhiming Lv, Jun Zhao, Wei Wang, Quanli Liu:
A multiple surrogates based PSO algorithm. Artif. Intell. Rev. 52(4): 2169-2190 (2019) - [j29]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): 838-849 (2019) - [j28]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): 769-784 (2019) - [j27]Wei Liu, Jianping Hu, Xingsheng Zhao, Haoran Pan, Imran Ali Lakhiar, Wei Wang, Jun Zhao:
Development and Experimental Analysis of a Seeding Quantity Sensor for the Precision Seeding of Small Seeds. Sensors 19(23): 5191 (2019) - [j26]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): 416-428 (2019) - [c12]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: 943-948 - [c11]Fan Zhou, Zhongyang Han, Jun Zhao, Wei Wang:
A Spark-Based Approach for High-Efficiency Embedded Feature Selection. DASC/PiCom/DataCom/CyberSciTech 2019: 36-43 - 2018
- [b1]Jun Zhao, Wei Wang, Chunyang Sheng:
Data-Driven Prediction for Industrial Processes and Their Applications. Springer 2018, ISBN 978-3-319-94050-2, pp. 1-436 - [j25]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): 587-594 (2018) - [j24]Jun Zhao, Guo-Ping Liu:
Time-Variant Consensus Tracking Control for Networked Planar Multi-Agent Systems with Non-Holonomic Constraints. J. Syst. Sci. Complex. 31(2): 396-418 (2018) - [j23]Tianyu Wang, Zhongyang Han, Jun Zhao, Wei Wang:
Adaptive Granulation-Based Prediction for Energy System of Steel Industry. IEEE Trans. Cybern. 48(1): 127-138 (2018) - [c10]Tianyu Wang, Jun Zhao, Wei Wang, Ying Liu, Ge Guo:
Target-Oriented Granular Inference with Evolutionary Updating for Converter Gas Scheduling. CEC 2018: 1-7 - 2017
- [j22]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): 216-222 (2017) - [j21]Chunyang Sheng, Jun Zhao, Wei Wang:
Map-reduce framework-based non-iterative granular echo state network for prediction intervals construction. Neurocomputing 222: 116-126 (2017) - [j20]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): 1761-1770 (2017) - [c9]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: 1401-1405 - [c8]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: 2007-2012 - [c7]Jun Zhao, Chunyang Sheng, Wei Wang, Witold Pedrycz, Quanli Liu:
Data-based predictive optimization for by product gas system in steel industry. CASE 2017: 87 - [c6]Zhiming Lv, Jun Zhao, Wei Wang:
A multi-objective particle swarm algorithm based on the active learning approach. IECON 2017: 8716-8720 - [c5]Xiaohan Song, Jun Zhao, Wei Wang:
Fast generalized reduced gradient algorithm based data reconciliation model. IECON 2017: 8791-8795 - 2016
- [j19]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): 307-326 (2016) - [j18]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: 175-185 (2016) - [j17]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. 367-368: 311-323 (2016) - [j16]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): 388-400 (2016) - 2015
- [j15]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: 533-542 (2015) - [c4]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: 1-6 - [c3]Linqing Wang, Jun Zhao, Wei Wang, Zili Zhan:
Genetic algorithm for regionalization problem with adaptive equity constraint. ASCC 2015: 1-6 - 2014
- [j14]Jun Zhao, Kai Liu, Wei Wang, Ying Liu:
Adaptive fuzzy clustering based anomaly data detection in energy system of steel industry. Inf. Sci. 259: 335-345 (2014) - [j13]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): 1149-1154 (2014) - [c2]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: 1088-1095 - 2013
- [j12]Jun Zhao, Xiaoliang Zhu, Wei Wang, Ying Liu:
Extended Kalman filter-based Elman networks for industrial time series prediction with GPU acceleration. Neurocomputing 118: 215-224 (2013) - [j11]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): 1036-1048 (2013) - [c1]Chunyang Sheng, Jun Zhao, Henry Leung, Wei Wang:
Extended Kalman Filter Based Echo State Network for Time Series Prediction using MapReduce Framework. MSN 2013: 175-180 - 2012
- [j10]Chunyang Sheng, Jun Zhao, Ying Liu, Wei Wang:
Prediction for noisy nonlinear time series by echo state network based on dual estimation. Neurocomputing 82: 186-195 (2012) - [j9]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: 104-114 (2012) - [j8]Yue-E Wang, Xi-Ming Sun, Jun Zhao:
Asynchronous H∞ control of switched delay systems with average dwell time. J. Frankl. Inst. 349(10): 3159-3169 (2012) - [j7]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): 835-845 (2012) - [j6]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): 953-963 (2012) - [j5]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): 439-450 (2012) - 2011
- [j4]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): 4588-4599 (2011) - [j3]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): 1212-1223 (2011) - [j2]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): 507-520 (2011)
2000 – 2009
- 2008
- [j1]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): 528-533 (2008)
Coauthor Index
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