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ORCIDJun Wang 0002
王钧
Person information
- unicode name: 王钧
- affiliation: City University of Hong Kong, Department of Computer Science, Hong Kong
- affiliation (1995 - 2015): The Chinese University of Hong Kong, Department of Mechanical and Automation Engineering, Hong Kong
- affiliation (1990 - 1997): University of North Dakota, Grand Forks, ND, USA
- affiliation (PhD 1991): Case Western Reserve University, Cleveland, OH, USA
Other persons with the same name
- Jun Wang — disambiguation page
- Jun Wang 0001
![[0000-0002-0926-4761]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0002-0926-4761")
— University of Central Florida, Department of Electrical Engineering and Computer Science, Orlando, FL, USA (and 2 more) - Jun Wang 0003 — Tsinghua University, Department of Electronic Engineering, Beijing, China
- Jun Wang 0004 — Beijing Genomics Institute, Shenzhen, China (and 2 more)
- Jun Wang 0005 — University of Electronic Science and Technology of China, National Key Laboratory of Science and Technology, Chengdu, China (and 1 more)
- Jun Wang 0006 — East China Normal University, Shanghai, China (and 3 more)
- Jun Wang 0007 — UCLA, CORES Lab, Los Angeles, CA, USA
- Jun Wang 0008 — The University of British Columbia, Vancouver, BC, Canada
- Jun Wang 0009 — Osaka University, Japan
- Jun Wang 0010 — Sichuan University, College of Electronics And Information Engineering, Chengdu, China (and 1 more)
- Jun Wang 0011 — Microsoft (and 1 more)
- Jun Wang 0012 — University College London, Department of Computer Science, UCL Centre for Artificial Intelligence, London, UK (and 1 more)
- Jun Wang 0013 — Xihua University, School of Computer and Software Engineering, Chengdu, China (and 1 more)
- Jun Wang 0014 — Huazhong University of Science and Technology, China (and 1 more)
- Jun Wang 0015 — Zhuhai Jieli Technology Co., Ltd, Zhuhai, China (and 3 more)
- Jun Wang 0016 — Old Dominion University, Norfolk, USA
- Jun Wang 0017 — University of Geneva, Switzerland
- Jun Wang 0018 — iWudao Tech, San Jose, CA, USA (and 2 more)
- Jun Wang 0019 — Beihang University, School of Computer Science and Engineering, Beijing, China
- Jun Wang 0020 — Université du Luxembourg, Luxembourg
- Jun Wang 0021 — University of New South Wales, Kensington, NSW, Australia
- Jun Wang 0022 — University of Iowa, Center for Global and Regional Environmental Studies, Iowa City, IA, USA (and 3 more)
- Jun Wang 0023 — Nankai University, Institute of Big Data, Tianjin, China (and 1 more)
- Jun Wang 0024 — Shanghai University, School of Communication and Information Engineering, Shanghai , China (and 3 more)
- Jun Wang 0025 — Tongji University, Department of Control Science and Engineering, Shanghai, China
- Jun Wang 0026 — University of Nebraska-Lincoln, Power and Energy Systems Laboratory, NE, USA (and 1 more)
- Jun Wang 0027 — South-Central University for Nationalities, College of Computer Science, Wuhan, China (and 1 more)
- Jun Wang 0028 — US Environmental Protection Agency (EPA, Research Triangle Park, NC, USA (and 1 more)
- Jun Wang 0029 — Jiangnan University, Department of Packaging Engineering, Wuxi, China (and 1 more)
- Jun Wang 0030 — Duke University, Department of Chemistry, Durham, NC, USA (and 2 more)
- Jun Wang 0031 — Nanjing University of Posts and Telecommunications, School of Geographic and Biologic Information, Smart Health Big Data Analysis and Location Services Engineering Lab of Jiangsu Province, Nanjing, China (and 1 more)
- Jun Wang 0032 — Queen Mary University of London, Computer Science Department, UK
- Jun Wang 0033 — University of Bedfordshire, UK
- Jun Wang 0034 — Xidian University, Institute of Electronic CAD, Xi'an, China
- Jun Wang 0035 — Shandong University, SDU-NTU Joint Centre For AI Research, C-FAIR, Jinan, China (and 2 more)
- Jun Wang 0036 — Shanghai University of Engineering Science, College of Electronic and Electrical Engineering, China
- Jun Wang 0037 — University of Texas at Dallas, Department of Bioengineering, Richardson, TX, USA (and 1 more)
- Jun Wang 0038 — Zhejiang University, Department of Biosystems Engineering, China
- Jun Wang 0039 — Nanjing University of Aeronautics and Astronautics, College of Mechanical and Electrical Engineering, China (and 4 more)
- Jun Wang 0040 — University of California, San Diego, Department of Bioengineering, CA, USA
- Jun Wang 0041 — Beihang University, Electronic Information Engineering, Beijing, China (and 1 more)
- Jun Wang 0042 — Peking University, School of Earth and Space Sciences, Institute of Remote Sensing and Geographic Information System, Beijing, China
- Jun Wang 0043 — China Three Gorges University, Yichang, China (and 2 more)
- Jun Wang 0044 — Harbin Institute of Technology at Weihai, School of Information and Electrical Engineering, China
- Jun Wang 0045 — Northwestern Polytechnical University, School of Materials Science, Xi'an, China (and 1 more)
- Jun Wang 0046 — University of Electronic Science and Technology of China, School of Mechanical and Electrical Engineering, Chengdu, China
- Jun Wang 0047 — Nanjing University, Collaborative Innovation Center of Advanced Microstructures, School of Physics, National Laboratory of Solid State Microstructures, China
- Jun Wang 0048 — Fuzhou University, School of Electrical Engineering and Automation, China (and 1 more)
- Jun Wang 0049 — Beihang University, School of Aviation Science and Engineering, Beijing, China
- Jun Wang 0050 — Beijing Jiaotong University, School of Economics and Management, China
- Jun Wang 0051 — Jiangnan University, School of Mechanical Engineering, Wuxi, China
- Jun Wang 0052 — Queen Mary University of London, Barts Cancer Institute, London, UK (and 1 more)
- Jun Wang 0053 — Linköping University, Division of Theoretical Chemistry, Sweden (and 3 more)
- Jun Wang 0054 — Hunan University, College of Electrical and Information Engineering, Changsha, China
- Jun Wang 0055 — Western Sydney University, Australia (and 1 more)
- Jun Wang 0056 — Zhejiang University, College of Electrical Engineering, Hangzhou, China
- Jun Wang 0057 — Tianjin University of Science and Technology, College of Mechanical Engineering, China (and 1 more)
- Jun Wang 0058 — Taiyuan University of Technology, Key Laboratory of Advanced Transducers and Intelligent Control System, China
- Jun Wang 0059 — Beihang University, Department of Information Systems, School of Economics and Management, Beijing, China (and 1 more)
- Jun Wang 0060 — Peking University, College of Life Sciences, Center for Bioinformatics, State Key Laboratory of Protein and Plant Gene Research, Beijing, China
- Jun Wang 0061 — Shandong Normal University, School of Information Science and Engineering, Jinan, China
- Jun Wang 0062 — Huawei Technologies, Hangzhou Research Center, China
- Jun Wang 0063 — Air force Early-warning Institute, Wuhan, China (and 2 more)
- Jun Wang 0064 — Henan University of Science and Technology, College of Agriculture Equipment Engineering, Luoyang, China
- Jun Wang 0065 (aka: Jun-Askuyue Wang) — Harbin Institute of Technology, Department of Mathematics, China
- Jun Wang 0066 — Beijing Foreign Studies University, International Business School, Beijing, China (and 1 more)
- Jun Wang 0067 — University of Fukui, Graduate School of Engineering, Department of Human and Artificial Intelligent Systems, Japan
- Jun Wang 0068 — Tianjin University of Finance and Economics, School of Management Science and Engineering, China
- Jun Wang 0069 — Xidian University, National Laboratory of Radar Signal Processing, Xi'an, China
- Jun Wang 0070 — State Key Laboratory of Mathematical Engineering and Advanced Computing, Zhengzhou, China
- Jun Wang 0071 — China University of Mining and Technology, School of Information and Control Engineering, Xuzhou, China
- Jun Wang 0072 — Zhejiang University, Institute of Translational Medicine, Hangzhou, China
- Jun Wang 0073 — Tsinghua University, Department of Computer Science and Technology, Beijing , China
- Jun Wang 0074 — University of Kiel, Institute for Experimental Medicine, Germany (and 2 more)
- Jun Wang 0075 — Beijing Jiaotong University, School of Science, Department of Mathematics, China (and 1 more)
- Jun Wang 0076 — Central South University, School of Traffic and Transportation Engineering, Changsha, China
- Jun Wang 0077 — Huawei US R&D, Santa Clara, CA, USA (and 2 more)
- Jun Wang 0078 — Northwest University, School of Information Science and Technology, Xi'an, China (and 1 more)
- Jun Wang 0079 — Lanzhou University of Technology, College of Electrical and Information Engineering / Key Laboratory of Gansu Advanced Control for Industrial Processes, China
- Jun Wang 0080 — Southern Medical University, Shenzhen Hospital, China (and 1 more)
- Jun Wang 0081 — Tianjin University, College of Intelligence and Computing, China
- Jun Wang 0082 — Flatiron Institute, Simons Foundation, New York, NY, USA
- Jun Wang 0083 — Xi'an Jiaotong University, Faculty of Electrical and Information Engineering, School of Automation Science and Engineering, Department of Automation, China
- Jun Wang 0084 — Toll Collection Center for Shaanxi Freeway, Xi'an, China
- Jun Wang 0085 — China University of Petroleum (East China), College of Control Science and Engineering, Qingdao, China (and 1 more)
- Jun Wang 0086 — Southeast University, School of Information Science and Engineering, State Key Laboratory of Millimeter-Waves, Nanjing, China
- Jun Wang 0087 — Beijing University of Chemical Technology, School of Economics and Management, China
- Blowman J. Wang (aka: Jun Wang 0088) — Southern University of Science and Technology, Shenzhen, China
- Jun Wang 0089 — Southwestern University of Finance and Economics, Chengdu, China
- Jun Wang 0090 — Salesforce AI Research, Palo Alto, CA, USA (and 1 more)
- Jun Wang 0091 — Tencent AI Lab, Shenzhen, China
- Jun Wang 0092 — University of Texas Southwestern, Department of Psychiatry, Dallas, TX, USA
- Jun Wang 0093 — Jiangsu University, Faculty of Science, Zhenjiang, China (and 1 more)
- Jun Wang 0094 — Nanjing University, International Institute for Earth System Science, China
- Jun Wang 0095 — China Medical University, First Affiliated Hospital, Department of Surgical Oncology and General Surgery, Shenyang, China
- Jun Wang 0096 — Ministry of Agriculture, Key Laboratory of Freshwater Aquatic Genetic Resources, Shanghai, China (and 2 more)
- Jun Wang 0097 — Nanjing Medical University, First Affiliated Hospital, Department of Thoracic Surgery, China
- Jun Wang 0098 — Mississippi State University, Department of Civil and Environmental Engineering, Starkville, MS, USA (and 1 more)
- Jun Wang 0099 — Shandong Normal University, School of Psychology, Jinan, China
- Jun Wang 0100 — Peking University, Department of Information Management, Beijing, China
- Jun Wang 0101 — Yunnan Normal University, MoE Key Laboratory of Education Informatization for Nationalities / Yunnan Key Laboratory of Smart Education, Kunming, China
- Jun Wang 0102 — Nanjing University of Information Science and Technology, School of Computer and Software, China
- Jun Wang 0103 — Xi'an Aerospace Propulsion Institute, Science and Technology on Liquid Rocket Engine Laboratory, China (and 1 more)
- Jun Wang 0104 — Sichuan University, College of Electronics and Information Engineering, Chengdu, China
- Jun Wang 0105 — Tsinghua University, Department of Precision Instrument, Beijing, China (and 1 more)
- Jun Wang 0106 — University of Bristol, Department of Electrical and Electronic Engineering, UK
- Jun Wang 0107 — University of Electronic Science and Technology of China, National Key Laboratory of Science and Technology on Communications / Center for Intelligent Networking and Communications, Chengdu, China
- Jun Wang 0108 — China Institute of Water Resources and Hydropower Research, Institute of Water Resources for Pastoral Area, Huhhot, China
- Jun Wang 0109 — Xidian University, School of Cyber Engineering, Xi'an, China
- Jun Wang 0110 — Dalian Maritime University, School of Information Science and Technology, China
- Jun Wang 0111 — Shandong University of Science and Technology, College of Geometrics, Qingdao, China
- Jun Wang 0112 — Harbin University of Science and Technology, Department of Communication Engineering, China
- Jun Wang 0113 — National University Corporation Shizuoka University, Graduate School of Science and Technology, Integrated Bioscience Section, Japan
- Jun Wang 0114 — Hebei University, College of Electronic Information Engineering, Baoding, China (and 1 more)
- Jun Wang 0115 — Qilu University of Technology, School of Mechanical and Automotive Engineering, Jinan, China
- Jun Wang 0116 — University of Electronic Science and Technology of China, Zhongshan Institute, China (and 1 more)
- Jun Wang 0117 — National University of Defense Technology, College of Meteorology and Oceanography, Changsha, China (and 1 more)
- Jun Wang 0118 — China University of Geosciences, School of Computer Science, Wuhan, China
- Jun Wang 0119 — Beijing Jiaotong University, School of Electronic and Information Engineering, China
- Jun Wang 0120 — University of Science and Technology of China, School of Computer Science and Technology, Anhui Province Key Laboratory of Big Data Analysis and Application, Hefei, China
- Jun Wang 0121 — University of Warwick, Department of Computer Science, Coventry, UK (and 3 more)
- Jun Wang 0122 — Amazon AWS AI Labs
- Jun Wang 0123 — Ping An Technology Co. Ltd., PingAn Healthcare Technology, AI Platform Group, Beijing, China (and 2 more)
- Jun Wang 0124 — China University of Geosciences, School of Geophysics and Information Technology, Beijing, China
- Jun Wang 0125 — Virginia Tech, Computer Science Department, Blacksburg, VA, USA
- Jun Wang 0126 — University of Melbourne, Australia
- Jun Wang 0127 — JD AI Research, Beijing, China
- Jun Wang 0128 — Southwest Minzu University, College of Electrical and Information Engineering, Key Laboratory of Electronic Information of State Ethnic Affairs Commission, Chengdu, China
- Jun Wang 0129 — Chinese Academy of Sciences, Institute of Remote Sensing and Digital Earth, Beijing, China (and 1 more)
- Jun Wang 0130 — University of Science and Technology of China, School of Computer Science and Technology, Key Lab of Computing and Communication Software of Anhui Province, Hefei, China
- Jun Wang 0131 — Nanchang Institute of Technology, School of Information Engineering, Jiangxi Province Key Laboratory of Water Information Cooperative Sensing and Intelligent Processing, Nanchang, China (and 1 more)
- Jun Wang 0132 — Shanghai Normal University, Department of Mathematics, Shanghai, China
- Jun Wang 0133 — University of Siena, Department of Information Engineering and Mathematics, Siena, Italy
- Jun Wang 0134 — Zhejiang Lab, Research Center for Intelligent Computing Platforms, Hangzhou, China
- Jun Wang 0135 — Washington University in St. Louis, Department of Electrical and Systems Engineering, St. Louis, MO, USA (and 1 more)
- Jun Wang 0136 — Hong Kong Polytechnic University, Department of Computing, Hong Kong
- Jun Wang 0137 — Shanghai Jiao Tong University, School of Electronic Information and Electrical Engineering, Brain-inspired Application Technology Center, Shanghai, China
- Jun Wang 0138 — Southeast University, School of Information Science and Engineering, National Mobile Communications Research Laboratory, Nanjing, China (and 1 more)
- Jun Wang 0139 — Indiana University, Pervasive Technology Institute, Bloomington, IN, USA
- Jun Wang 0140 — Xi'an University of Posts and Telecommunications, School of Telecommunication and Information Engineering, Xi'an, China
- Jun Wang 0141 — Palo Alto Networks, Inc., USA (and 1 more)
- Jun Wang 0142 — Independent Researcher, Syracuse, NY, USA (and 2 more)
- Jun Wang 0143 — China Earthquake Administration, The Second Monitoring and Application Center, Xi'an, China (and 1 more)
- Jun Wang 0144 — Jilin University, Institute of Atomic and Molecular Physics, Changchun, China (and 1 more)
- Jun Wang 0145 — Quzhou University, School of Mechanical Engineering, Quzhou, China (and 3 more)
- Jun Wang 0146 — University of Nebraska-Lincoln, Department of Electrical and Computer Engineering, Lincoln, NE, USA (and 1 more)
- Jun Wang 0147 — Wuhan University of Science and Technology, College of Life and Health Sciences, Institute of Biology and Medicine, Wuhan, China
- Jun Wang 0148 — Shenyang University of Chemical Technology, College of Computer Science and Technology, Shenyang, China
- Jun Wang 0150 — Xidian University, National Laboratory of Radar Signal Processing and the Collaborative Innovation Center of Information Sensing and Understanding, Xi'an, China (and 1 more)
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2020 – today
- 2025
[j293]Dan Su, Long Jin, Jun Wang:
Noise-resistant sharpness-aware minimization in deep learning. Neural Networks 181: 106829 (2025)- 2024
- [j292]Yuanyue Liu, Jin Zhao, Jianchao Fan, Jun Wang:
Optimizing the Hyperparameters of Fully Convolutional Encoder-Decoder Networks for SAR Image Segmentation. IEEE Geosci. Remote. Sens. Lett. 21: 1-5 (2024) - [j291]Banghua Huang, Yang Liu, Yun-Liang Jiang, Jun Wang:
Two-timescale projection neural networks in collaborative neurodynamic approaches to global optimization and distributed optimization. Neural Networks 169: 83-91 (2024) - [j290]Zicong Xia, Yang Liu, Jun Wang:
An event-triggered collaborative neurodynamic approach to distributed global optimization. Neural Networks 169: 181-190 (2024) - [j289]Hongzong Li, Jun Wang, Nian Zhang, Wei Zhang:
Binary matrix factorization via collaborative neurodynamic optimization. Neural Networks 176: 106348 (2024) - [j288]Yangxia Li, Zicong Xia, Yang Liu, Jun Wang:
A collaborative neurodynamic approach with two-timescale projection neural networks designed via majorization-minimization for global optimization and distributed global optimization. Neural Networks 179: 106525 (2024) - [j287]Yanling Zheng, Qingshan Liu, Jun Wang:
A Specified-Time Convergent Multiagent System for Distributed Optimization With a Time-Varying Objective Function. IEEE Trans. Autom. Control. 69(2): 1257-1264 (2024) - [j286]Zicong Xia, Yang Liu, Wenwu Yu, Jun Wang:
A Collaborative Neurodynamic Optimization Approach to Distributed Nash-Equilibrium Seeking in Multicluster Games With Nonconvex Functions. IEEE Trans. Cybern. 54(5): 3105-3119 (2024) - [j285]Youshen Xia, Qingshan Liu, Jun Wang, Andrzej Cichocki:
A Survey of Neurodynamic Optimization. IEEE Trans. Emerg. Top. Comput. Intell. 8(4): 2677-2696 (2024) - [j284]Hongzong Li, Jun Wang:
From Soft Clustering to Hard Clustering: A Collaborative Annealing Fuzzy $c$-Means Algorithm. IEEE Trans. Fuzzy Syst. 32(3): 1181-1194 (2024) - [j283]Baojie Zhang, Jun Wang, Yuming Feng, Zihui Zhang:
Finite-Time Projective Synchronization of Hyperjerk Systems Modeled With Fuzzy Recurrent Neural Networks. IEEE Trans. Fuzzy Syst. 32(8): 4482-4495 (2024) - [j282]Chuancong Tang, Hai-Tao Zhang, Haosen Cao, Jun Wang:
Time-Varying Formation Control of Autonomous Surface Vehicles Based on Affine Observer. IEEE Trans. Ind. Electron. 71(10): 12952-12963 (2024) - [j281]Xinjie Wang, Yaochu Jin, Wenli Du, Jun Wang:
Evolving Dual-Threshold Bienenstock-Cooper-Munro Learning Rules in Echo State Networks. IEEE Trans. Neural Networks Learn. Syst. 35(2): 1572-1583 (2024) - [j280]Hongzong Li, Jun Wang:
Capacitated Clustering via Majorization-Minimization and Collaborative Neurodynamic Optimization. IEEE Trans. Neural Networks Learn. Syst. 35(5): 6679-6692 (2024) - [j279]Yadi Wang, Jun Wang, Nikhil R. Pal:
Supervised Feature Selection via Collaborative Neurodynamic Optimization. IEEE Trans. Neural Networks Learn. Syst. 35(5): 6878-6892 (2024) - [j278]Dong Pang, Xinyi Le, Xinping Guan, Jun Wang:
LFT: Neural Ordinary Differential Equations With Learnable Final-Time. IEEE Trans. Neural Networks Learn. Syst. 35(5): 6918-6927 (2024) - [j277]Zhongying Chen, Jun Wang, Qing-Long Han:
A Collaborative Neurodynamic Optimization Approach to Distributed Chiller Loading. IEEE Trans. Neural Networks Learn. Syst. 35(8): 10950-10960 (2024) - [j276]Xiang Huang, Hai-Tao Zhang, Jun Wang:
A Data-Driven Bayesian Koopman Learning Method for Modeling Hysteresis Dynamics. IEEE Trans. Neural Networks Learn. Syst. 35(11): 15615-15623 (2024) - [j275]Zhongying Chen, Jun Wang, Qing-Long Han:
Receding-Horizon Chiller Operation Planning via Collaborative Neurodynamic Optimization. IEEE Trans. Smart Grid 15(2): 2321-2331 (2024) - [j274]Zhongying Chen, Jun Wang, Qing-Long Han:
Distributed Chiller Loading via Collaborative Neurodynamic Optimization With Heterogeneous Neural Networks. IEEE Trans. Syst. Man Cybern. Syst. 54(4): 2067-2078 (2024) - [j273]Yue Jiang, Zhouhua Peng, Jun Wang:
Safety-Certified Multi-Target Circumnavigation With Autonomous Surface Vehicles via Neurodynamics-Driven Distributed Optimization. IEEE Trans. Syst. Man Cybern. Syst. 54(4): 2092-2103 (2024) - [j272]Xiang Huang, Hai-Tao Zhang, Guanrong Chen, Jun Wang:
A Duplex Neurodynamic Learning Approach to Modeling Nonlinear Systems. IEEE Trans. Syst. Man Cybern. Syst. 54(10): 6141-6148 (2024) - 2023
- [j271]Filipp Skomorokhov, Jun Wang, George V. Ovchinnikov, Evgeny Burnaev, Ivan V. Oseledets:
An event-triggered iteratively reweighted convex optimization approach to multi-period portfolio selection. Expert Syst. Appl. 216: 119427 (2023) - [j270]Hongzong Li, Jun Wang:
CAPKM++2.0: An upgraded version of the collaborative annealing power k-means++ clustering algorithm. Knowl. Based Syst. 262: 110241 (2023) - [j269]Yadi Wang, Jun Wang:
Neurodynamics-driven holistic approaches to semi-supervised feature selection. Neural Networks 157: 377-386 (2023) - [j268]Jun Wang, Xin Gan:
Neurodynamics-driven portfolio optimization with targeted performance criteria. Neural Networks 157: 404-421 (2023) - [j267]Zicong Xia, Yang Liu, Jiasen Wang, Jun Wang:
Two-timescale recurrent neural networks for distributed minimax optimization. Neural Networks 165: 527-539 (2023) - [j266]Yadi Wang, Jun Wang, Dacheng Tao:
Neurodynamics-driven supervised feature selection. Pattern Recognit. 136: 109254 (2023) - [j265]Salman Ahmadi-Asl, Maame Gyamfua Asante-Mensah, Andrzej Cichocki, Anh-Huy Phan, Ivan V. Oseledets, Jun Wang:
Fast cross tensor approximation for image and video completion. Signal Process. 213: 109121 (2023) - [j264]Xiao-Fang Liu, Jun Zhang, Jun Wang:
Cooperative Particle Swarm Optimization With a Bilevel Resource Allocation Mechanism for Large-Scale Dynamic Optimization. IEEE Trans. Cybern. 53(2): 1000-1011 (2023) - [j263]Shiqin Ou, Zhenyuan Guo, Jun Wang:
Multistability of Fuzzy Neural Networks With a General Class of Activation Functions and State-Dependent Switching Rules. IEEE Trans. Fuzzy Syst. 31(2): 645-659 (2023) - [j262]Yue Jiang, Zhouhua Peng, Jun Wang:
Constrained Control of Autonomous Surface Vehicles for Multitarget Encirclement via Fuzzy Modeling and Neurodynamic Optimization. IEEE Trans. Fuzzy Syst. 31(3): 875-889 (2023) - [j261]Shiqin Ou, Zhenyuan Guo, Jun Wang:
Multistability of Fuzzy Neural Networks With Rectified Linear Units and State-Dependent Switching Rules. IEEE Trans. Fuzzy Syst. 31(5): 1518-1530 (2023) - [j260]Jianchao Fan, Jianlin Zhou, Xinzhe Wang, Jun Wang:
A Self-Supervised Transformer With Feature Fusion for SAR Image Semantic Segmentation in Marine Aquaculture Monitoring. IEEE Trans. Geosci. Remote. Sens. 61: 1-15 (2023) - [j259]Chuancong Tang, Hai-Tao Zhang, Jun Wang:
Flexible Formation Tracking Control of Multiple Unmanned Surface Vessels for Navigating Through Narrow Channels with Unknown Curvatures. IEEE Trans. Ind. Electron. 70(3): 2927-2938 (2023) - [j258]Bin Liu, Hai-Tao Zhang, Haofei Meng, Jun Wang:
Fault-Tolerant Control of Autonomous Surface Vessels Subject to Steer Jamming for Harbor Returning. IEEE Trans. Ind. Electron. 70(9): 9390-9398 (2023) - [j257]Zhongying Chen, Jun Wang, Qing-Long Han:
Optimal Chiller Loading Based on Collaborative Neurodynamic Optimization. IEEE Trans. Ind. Informatics 19(3): 3057-3067 (2023) - [j256]Peng Liu, Jun Wang, Zhigang Zeng:
An Overview of the Stability Analysis of Recurrent Neural Networks With Multiple Equilibria. IEEE Trans. Neural Networks Learn. Syst. 34(3): 1098-1111 (2023) - [j255]Nan Gu, Dan Wang, Zhouhua Peng, Jun Wang:
Safety-Critical Containment Maneuvering of Underactuated Autonomous Surface Vehicles Based on Neurodynamic Optimization With Control Barrier Functions. IEEE Trans. Neural Networks Learn. Syst. 34(6): 2882-2895 (2023) - [j254]Peng Liu, Jun Wang, Zhigang Zeng:
Event-Triggered Synchronization of Multiple Fractional-Order Recurrent Neural Networks With Time-Varying Delays. IEEE Trans. Neural Networks Learn. Syst. 34(8): 4620-4630 (2023) - [j253]Hangjun Che, Jun Wang, Andrzej Cichocki:
Bicriteria Sparse Nonnegative Matrix Factorization via Two-Timescale Duplex Neurodynamic Optimization. IEEE Trans. Neural Networks Learn. Syst. 34(8): 4881-4891 (2023) - [j252]Zhongying Chen, Jun Wang, Qing-Long Han:
Event-Triggered Cardinality-Constrained Cooling and Electrical Load Dispatch Based on Collaborative Neurodynamic Optimization. IEEE Trans. Neural Networks Learn. Syst. 34(9): 5464-5475 (2023) - [j251]Youshen Xia, Jun Wang, Zhenyu Lu, Liqing Huang:
Two Recurrent Neural Networks With Reduced Model Complexity for Constrained l₁-Norm Optimization. IEEE Trans. Neural Networks Learn. Syst. 34(9): 6173-6185 (2023) - [j250]Zicong Xia, Yang Liu, Kit Ian Kou, Jun Wang:
Clifford-Valued Distributed Optimization Based on Recurrent Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 34(10): 7248-7259 (2023) - [j249]Banghua Huang, Yang Liu, Zicong Xia, Jun Wang:
A Bi-Event-Triggered Multi-Agent System for Distributed Optimization. IEEE Trans. Netw. Sci. Eng. 10(2): 1074-1084 (2023) - [j248]Nan Gu, Dan Wang, Zhouhua Peng, Jun Wang, Qing-Long Han:
Advances in Line-of-Sight Guidance for Path Following of Autonomous Marine Vehicles: An Overview. IEEE Trans. Syst. Man Cybern. Syst. 53(1): 12-28 (2023) - [j247]Guanghao Lv, Zhouhua Peng, Lu Liu, Jun Wang:
Barrier-Certified Distributed Model Predictive Control of Under-Actuated Autonomous Surface Vehicles via Neurodynamic Optimization. IEEE Trans. Syst. Man Cybern. Syst. 53(1): 563-575 (2023) - [j246]Peng Liu, Jun Wang, Zhigang Zeng:
Fractional-Order Vectorial Halanay-Type Inequalities With Applications for Stability and Synchronization Analyses. IEEE Trans. Syst. Man Cybern. Syst. 53(3): 1573-1583 (2023) - [j245]Zicong Xia, Yang Liu, Jun Wang:
A Collaborative Neurodynamic Approach to Distributed Global Optimization. IEEE Trans. Syst. Man Cybern. Syst. 53(5): 3141-3151 (2023) - [j244]Zhongying Chen, Jun Wang, Qing-Long Han:
Chiller Plant Operation Planning via Collaborative Neurodynamic Optimization. IEEE Trans. Syst. Man Cybern. Syst. 53(8): 4623-4635 (2023) - [j243]Xiao-Fang Liu, Jun Zhang, Jun Wang:
Cooperative Differential Evolution With an Attention-Based Prediction Strategy for Dynamic Multiobjective Optimization. IEEE Trans. Syst. Man Cybern. Syst. 53(12): 7441-7452 (2023) - [j242]Zhouhua Peng, Chen Wang, Yong Yin, Jun Wang:
Safety-Certified Constrained Control of Maritime Autonomous Surface Ships for Automatic Berthing. IEEE Trans. Veh. Technol. 72(7): 8541-8552 (2023) - [c112]Salman Ahmadi-Asl, Anh Huy Phan, Andrzej Cichocki, Ashish Jha, Anastasia Sozykina, Jun Wang, Ivan V. Oseledets:
Fast Adaptive Cross Tubal Tensor Approximation. SSP 2023: 552-556 - [i2]Salman Ahmadi-Asl, Anh Huy Phan, Andrzej Cichocki, Anastasia Sozykina, Zaher Al Aghbari, Jun Wang, Ivan V. Oseledets:
Adaptive Cross Tubal Tensor Approximation. CoRR abs/2305.05030 (2023) - 2022
- [j241]Xiaohua Ge, Qing-Long Han, Jun Wang, Xian-Ming Zhang:
A Scalable Adaptive Approach to Multi-Vehicle Formation Control with Obstacle Avoidance. IEEE CAA J. Autom. Sinica 9(6): 990-1004 (2022) - [j240]Jiasen Wang, Jun Wang, Qing-Long Han:
Receding-Horizon Trajectory Planning for Under-Actuated Autonomous Vehicles Based on Collaborative Neurodynamic Optimization. IEEE CAA J. Autom. Sinica 9(11): 1909-1923 (2022) - [j239]Xiangguang Dai, Jun Wang, Wei Zhang:
Balanced clustering based on collaborative neurodynamic optimization. Knowl. Based Syst. 250: 109026 (2022) - [j238]Hongzong Li, Jun Wang:
Collaborative annealing power k-means++ clustering. Knowl. Based Syst. 255: 109593 (2022) - [j237]Jichao Wang, Jianchao Fan, Jun Wang:
MDOAU-Net: A Lightweight and Robust Deep Learning Model for SAR Image Segmentation in Aquaculture Raft Monitoring. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [j236]Man-Fai Leung, Jun Wang:
Cardinality-constrained portfolio selection based on collaborative neurodynamic optimization. Neural Networks 145: 68-79 (2022) - [j235]Na Liu, Jun Wang, Sitian Qin:
A one-layer recurrent neural network for nonsmooth pseudoconvex optimization with quasiconvex inequality and affine equality constraints. Neural Networks 147: 1-9 (2022) - [j234]Xinqi Li, Jun Wang, Sam Kwong:
Boolean matrix factorization based on collaborative neurodynamic optimization with Boltzmann machines. Neural Networks 153: 142-151 (2022) - [j233]Man-Fai Leung, Jun Wang, Hangjun Che:
Cardinality-constrained portfolio selection via two-timescale duplex neurodynamic optimization. Neural Networks 153: 399-410 (2022) - [j232]Hangjun Che, Jun Wang, Andrzej Cichocki:
Sparse signal reconstruction via collaborative neurodynamic optimization. Neural Networks 154: 255-269 (2022) - [j231]Songchuan Zhang, Yonghui Xia, Youshen Xia, Jun Wang:
Matrix-Form Neural Networks for Complex-Variable Basis Pursuit Problem With Application to Sparse Signal Reconstruction. IEEE Trans. Cybern. 52(7): 7049-7059 (2022) - [j230]Xinqi Li, Jun Wang, Sam Kwong:
Hash Bit Selection Based on Collaborative Neurodynamic Optimization. IEEE Trans. Cybern. 52(10): 11144-11155 (2022) - [j229]Man-Fai Leung, Jun Wang, Duan Li:
Decentralized Robust Portfolio Optimization Based on Cooperative-Competitive Multiagent Systems. IEEE Trans. Cybern. 52(12): 12785-12794 (2022) - [j228]Wei Zhou, Hai-Tao Zhang, Jun Wang:
Sparse Bayesian Learning Based on Collaborative Neurodynamic Optimization. IEEE Trans. Cybern. 52(12): 13669-13683 (2022) - [j227]Jiasen Wang, Jun Wang:
Two-Timescale Multilayer Recurrent Neural Networks for Nonlinear Programming. IEEE Trans. Neural Networks Learn. Syst. 33(1): 37-47 (2022) - [j226]Wei Zhou, Hai-Tao Zhang, Jun Wang:
An Efficient Sparse Bayesian Learning Algorithm Based on Gaussian-Scale Mixtures. IEEE Trans. Neural Networks Learn. Syst. 33(7): 3065-3078 (2022) - [j225]Junhong Zhao, Jie Yang, Jun Wang, Wei Wu:
Spiking Neural Network Regularization With Fixed and Adaptive Drop-Keep Probabilities. IEEE Trans. Neural Networks Learn. Syst. 33(8): 4096-4109 (2022) - [j224]Xinqi Li, Jun Wang, Sam Kwong:
Hash Bit Selection via Collaborative Neurodynamic Optimization With Discrete Hopfield Networks. IEEE Trans. Neural Networks Learn. Syst. 33(10): 5116-5124 (2022) - [j223]Zhenyuan Guo, Shiqin Ou, Jun Wang:
Multistability of Switched Neural Networks With Gaussian Activation Functions Under State-Dependent Switching. IEEE Trans. Neural Networks Learn. Syst. 33(11): 6569-6583 (2022) - [j222]Zhenyuan Guo, Hui Xie, Jun Wang:
Finite-Time and Fixed-Time Synchronization of Coupled Switched Neural Networks Subject to Stochastic Disturbances. IEEE Trans. Syst. Man Cybern. Syst. 52(10): 6511-6523 (2022) - [j221]Xiaohua Ge, Qing-Long Han, Jun Wang, Xian-Ming Zhang:
Scalable and Resilient Platooning Control of Cooperative Automated Vehicles. IEEE Trans. Veh. Technol. 71(4): 3595-3608 (2022) - [i1]Salman Ahmadi-Asl, Maame Gyamfua Asante-Mensah, Andrzej Cichocki, Anh Huy Phan, Ivan V. Oseledets, Jun Wang:
Cross Tensor Approximation for Image and Video Completion. CoRR abs/2207.06072 (2022) - 2021
- [j220]Salman Ahmadi-Asl, Cesar F. Caiafa, Andrzej Cichocki, Anh Huy Phan, Toshihisa Tanaka, Ivan V. Oseledets, Jun Wang:
Cross Tensor Approximation Methods for Compression and Dimensionality Reduction. IEEE Access 9: 150809-150838 (2021) - [j219]Yadi Wang, Xiaoping Li, Jun Wang:
A neurodynamic optimization approach to supervised feature selection via fractional programming. Neural Networks 136: 194-206 (2021) - [j218]Zhenyuan Guo, Jingxuan Ci, Jun Wang:
Multi-periodicity of switched neural networks with time delays and periodic external inputs under stochastic disturbances. Neural Networks 141: 107-119 (2021) - [j217]Yadi Wang, Jun Wang, Hangjun Che:
Two-timescale neurodynamic approaches to supervised feature selection based on alternative problem formulations. Neural Networks 142: 180-191 (2021) - [j216]Zhouhua Peng, Lu Liu, Jun Wang:
Output-Feedback Flocking Control of Multiple Autonomous Surface Vehicles Based on Data-Driven Adaptive Extended State Observers. IEEE Trans. Cybern. 51(9): 4611-4622 (2021) - [j215]Zhouhua Peng, Yue Jiang, Jun Wang:
Event-Triggered Dynamic Surface Control of an Underactuated Autonomous Surface Vehicle for Target Enclosing. IEEE Trans. Ind. Electron. 68(4): 3402-3412 (2021) - [j214]Binbin Hu, Hai-Tao Zhang, Jun Wang:
Multiple-Target Surrounding and Collision Avoidance With Second-Order Nonlinear Multiagent Systems. IEEE Trans. Ind. Electron. 68(8): 7454-7463 (2021) - [j213]Zhouhua Peng, Jun Wang, Dan Wang, Qing-Long Han:
An Overview of Recent Advances in Coordinated Control of Multiple Autonomous Surface Vehicles. IEEE Trans. Ind. Informatics 17(2): 732-745 (2021) - [j212]Hangjun Che, Jun Wang:
A Two-Timescale Duplex Neurodynamic Approach to Mixed-Integer Optimization. IEEE Trans. Neural Networks Learn. Syst. 32(1): 36-48 (2021) - [j211]Zhenyuan Guo, Shiqin Wang, Jun Wang:
Global Exponential Synchronization of Coupled Delayed Memristive Neural Networks With Reaction-Diffusion Terms via Distributed Pinning Controls. IEEE Trans. Neural Networks Learn. Syst. 32(1): 105-116 (2021) - [j210]Peng Liu, Jun Wang, Zhenyuan Guo:
Multiple and Complete Stability of Recurrent Neural Networks With Sinusoidal Activation Function. IEEE Trans. Neural Networks Learn. Syst. 32(1): 229-240 (2021) - [j209]Man-Fai Leung, Jun Wang:
Minimax and Biobjective Portfolio Selection Based on Collaborative Neurodynamic Optimization. IEEE Trans. Neural Networks Learn. Syst. 32(7): 2825-2836 (2021) - [j208]Jiasen Wang, Jun Wang, Qing-Long Han:
Multivehicle Task Assignment Based on Collaborative Neurodynamic Optimization With Discrete Hopfield Networks. IEEE Trans. Neural Networks Learn. Syst. 32(12): 5274-5286 (2021) - [j207]Zhouhua Peng, Dan Wang, Jun Wang:
Data-Driven Adaptive Disturbance Observers for Model-Free Trajectory Tracking Control of Maritime Autonomous Surface Ships. IEEE Trans. Neural Networks Learn. Syst. 32(12): 5584-5594 (2021) - [j206]Derui Ding, Qing-Long Han, Xiaohua Ge, Jun Wang:
Secure State Estimation and Control of Cyber-Physical Systems: A Survey. IEEE Trans. Syst. Man Cybern. Syst. 51(1): 176-190 (2021) - [c111]Hongyan Yu, Baojie Zhang, Tong Wang, Jun Wang:
Secrecy Capacity Maximization in Wireless Wiretap Channel: A Neurodynamic Optimization Approach. ICACI 2021: 166-171 - [c110]Yajing Kong, Liu Liu, Jun Wang, Dacheng Tao:
Adaptive Curriculum Learning. ICCV 2021: 5047-5056 - 2020
- [j205]Xinqi Li, Jun Wang, Sam Kwong:
A Discrete-Time Neurodynamic Approach to Sparsity-Constrained Nonnegative Matrix Factorization. Neural Comput. 32(8): 1531-1562 (2020) - [j204]Zhenyuan Guo, Shiqin Ou, Jun Wang:
Multistability of switched neural networks with sigmoidal activation functions under state-dependent switching. Neural Networks 122: 239-252 (2020) - [j203]Jiasen Wang, Jun Wang, Hangjun Che:
Task Assignment for Multivehicle Systems Based on Collaborative Neurodynamic Optimization. IEEE Trans. Neural Networks Learn. Syst. 31(4): 1145-1154 (2020) - [j202]Youshen Xia, Jun Wang, Wenzhong Guo:
Two Projection Neural Networks With Reduced Model Complexity for Nonlinear Programming. IEEE Trans. Neural Networks Learn. Syst. 31(6): 2020-2029 (2020) - [j201]Peng Liu, Zhigang Zeng, Jun Wang:
Asymptotic and Finite-Time Cluster Synchronization of Coupled Fractional-Order Neural Networks With Time Delay. IEEE Trans. Neural Networks Learn. Syst. 31(11): 4956-4967 (2020) - [j200]Zhenyuan Guo, Linlin Liu, Jun Wang:
Multistability of Recurrent Neural Networks With Piecewise-Linear Radial Basis Functions and State-Dependent Switching Parameters. IEEE Trans. Syst. Man Cybern. Syst. 50(11): 4458-4471 (2020) - [c109]Yadi Wang, Xiaoping Li, Jun Wang:
A Neurodynamic Approach to L0-Constrained Optimization. ICACI 2020: 44-50 - [c108]Junzhu Ma, Min Han, Jun Wang:
Online Time Series Prediction Based Modified Kernel Recursive Least-Squares from Random Projection and Adaptive Update. ICACI 2020: 432-438 - [c107]Weijie Li, Min Han, Jun Wang:
Recurrent Restricted Boltzmann Machine for Chaotic Time-series Prediction. ICACI 2020: 439-445 - [c106]Tao Jiang, Min Han, Jun Wang:
Time-series Prediction Based on VMD and Stack Recurrent Neural Network. ICACI 2020: 522-528 - [c105]Xinqi Li, Jun Wang, Sam Kwong:
Sparse Nonnegative Matrix Factorization Based on a Hyperbolic Tangent Approximation of L0-Norm and Neurodynamic Optimization. ICACI 2020: 542-549 - [c104]Jiasen Wang, Jun Wang, Dongbin Zhao:
Dynamically Weighted Model Predictive Control of Affine Nonlinear Systems Based on Two-Timescale Neurodynamic Optimization. ISNN 2020: 96-105
2010 – 2019
- 2019
- [j199]Hangjun Che, Jun Wang:
A collaborative neurodynamic approach to global and combinatorial optimization. Neural Networks 114: 15-27 (2019) - [j198]Shaofu Yang, Jun Wang, Qingshan Liu:
Cooperative-Competitive Multiagent Systems for Distributed Minimax Optimization Subject to Bounded Constraints. IEEE Trans. Autom. Control. 64(4): 1358-1372 (2019) - [j197]Shaofu Yang, Jun Wang, Qingshan Liu:
Consensus of Heterogeneous Nonlinear Multiagent Systems With Duplex Control Laws. IEEE Trans. Autom. Control. 64(12): 5140-5147 (2019) - [j196]Zhouhua Peng, Jiasen Wang, Jun Wang:
Constrained Control of Autonomous Underwater Vehicles Based on Command Optimization and Disturbance Estimation. IEEE Trans. Ind. Electron. 66(5): 3627-3635 (2019) - [j195]Zhouhua Peng, Jun Wang, Qing-Long Han:
Path-Following Control of Autonomous Underwater Vehicles Subject to Velocity and Input Constraints via Neurodynamic Optimization. IEEE Trans. Ind. Electron. 66(11): 8724-8732 (2019) - [j194]Zhenyuan Guo, Linlin Liu, Jun Wang:
Multistability of Switched Neural Networks With Piecewise Linear Activation Functions Under State-Dependent Switching. IEEE Trans. Neural Networks Learn. Syst. 30(7): 2052-2066 (2019) - [j193]Peng Liu, Zhigang Zeng, Jun Wang:
Global Synchronization of Coupled Fractional-Order Recurrent Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 30(8): 2358-2368 (2019) - [j192]Hangjun Che, Jun Wang:
A Two-Timescale Duplex Neurodynamic Approach to Biconvex Optimization. IEEE Trans. Neural Networks Learn. Syst. 30(8): 2503-2514 (2019) - [c103]Jiasen Wang, Jun Wang, Shenshen Gu:
Neurodynamics-Based Receding Horizon Control of an HVAC System. ISNN (2) 2019: 120-128 - [c102]Man-Fai Leung, Jun Wang:
A Collaborative Neurodynamic Optimization Approach to Bicriteria Portfolio Selection. ISNN (1) 2019: 318-327 - [c101]Hangjun Che, Jun Wang, Wei Zhang:
A Collaborative Neurodynamic Approach to Sparse Coding. ISNN (1) 2019: 454-462 - 2018
- [j191]Yuanyuan Hu, Jianchao Fan, Jun Wang:
Classification of PolSAR Images Based on Adaptive Nonlocal Stacked Sparse Autoencoder. IEEE Geosci. Remote. Sens. Lett. 15(7): 1050-1054 (2018) - [j190]Hangjun Che, Jun Wang:
A nonnegative matrix factorization algorithm based on a discrete-time projection neural network. Neural Networks 103: 63-71 (2018) - [j189]Zhouhua Peng, Jun Wang, Dan Wang:
Distributed Maneuvering of Autonomous Surface Vehicles Based on Neurodynamic Optimization and Fuzzy Approximation. IEEE Trans. Control. Syst. Technol. 26(3): 1083-1090 (2018) - [j188]Jianchao Fan, Jun Wang:
A Two-Phase Fuzzy Clustering Algorithm Based on Neurodynamic Optimization With Its Application for PolSAR Image Segmentation. IEEE Trans. Fuzzy Syst. 26(1): 72-83 (2018) - [j187]Shaofu Yang, Qingshan Liu, Jun Wang:
A Collaborative Neurodynamic Approach to Multiple-Objective Distributed Optimization. IEEE Trans. Neural Networks Learn. Syst. 29(4): 981-992 (2018) - [j186]Peng Liu, Zhigang Zeng, Jun Wang:
Multistability of Recurrent Neural Networks With Nonmonotonic Activation Functions and Unbounded Time-Varying Delays. IEEE Trans. Neural Networks Learn. Syst. 29(7): 3000-3010 (2018) - [j185]Xian-Ming Zhang, Qing-Long Han, Jun Wang:
Admissible Delay Upper Bounds for Global Asymptotic Stability of Neural Networks With Time-Varying Delays. IEEE Trans. Neural Networks Learn. Syst. 29(11): 5319-5329 (2018) - [j184]Man-Fai Leung, Jun Wang:
A Collaborative Neurodynamic Approach to Multiobjective Optimization. IEEE Trans. Neural Networks Learn. Syst. 29(11): 5738-5748 (2018) - [j183]Youshen Xia, Jun Wang:
Robust Regression Estimation Based on Low-Dimensional Recurrent Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 29(12): 5935-5946 (2018) - [j182]Zhouhua Peng, Jun Wang:
Output-Feedback Path-Following Control of Autonomous Underwater Vehicles Based on an Extended State Observer and Projection Neural Networks. IEEE Trans. Syst. Man Cybern. Syst. 48(4): 535-544 (2018) - [c100]Jun Wang:
Collaborative Neurodynamic Optimization: Biologically and Socially Plausible Approaches to Distributed, Global and Multiple-objective Optimization. CoDIT 2018: i - [c99]Jiasen Wang, Jun Wang:
Neurodynamics-Based Distributed Receding Horizon Trajectory Generation for Autonomous Surface Vehicles. ICONIP (7) 2018: 155-167 - [c98]Hangjun Che, Jun Wang:
A Collaborative Neurodynamic Approach to Symmetric Nonnegative Matrix Factorization. ICONIP (2) 2018: 453-462 - [c97]Xiaoyang Liu, Jun Wang:
An Analog Circuit Design for k-Winners-Take-All Operations. ICONIP (7) 2018: 666-675 - [c96]Man-Fai Leung, Jun Wang:
A Neurodynamic Approach to Multiobjective Linear Programming. ISNN 2018: 11-18 - [c95]Jiasen Wang, Jun Wang:
Task Assignment Based on a Dual Neural Network. ISNN 2018: 686-694 - 2017
- [j181]Peng Liu, Zhigang Zeng, Jun Wang:
Multistability of Delayed Recurrent Neural Networks with Mexican Hat Activation Functions. Neural Comput. 29(2): 423-457 (2017) - [j180]Peng Liu, Zhigang Zeng, Jun Wang:
Complete stability of delayed recurrent neural networks with Gaussian activation functions. Neural Networks 85: 21-32 (2017) - [j179]Shaofu Yang, Qingshan Liu, Jun Wang:
A Multi-Agent System With a Proportional-Integral Protocol for Distributed Constrained Optimization. IEEE Trans. Autom. Control. 62(7): 3461-3467 (2017) - [j178]Zhouhua Peng, Jun Wang, Dan Wang:
Distributed Containment Maneuvering of Multiple Marine Vessels via Neurodynamics-Based Output Feedback. IEEE Trans. Ind. Electron. 64(5): 3831-3839 (2017) - [j177]Xinyi Le, Jun Wang:
A Two-Time-Scale Neurodynamic Approach to Constrained Minimax Optimization. IEEE Trans. Neural Networks Learn. Syst. 28(3): 620-629 (2017) - [j176]Zheng Yan, Jianchao Fan, Jun Wang:
A Collective Neurodynamic Approach to Constrained Global Optimization. IEEE Trans. Neural Networks Learn. Syst. 28(5): 1206-1215 (2017) - [j175]Shaofu Yang, Zhenyuan Guo, Jun Wang:
Global Synchronization of Multiple Recurrent Neural Networks With Time Delays via Impulsive Interactions. IEEE Trans. Neural Networks Learn. Syst. 28(7): 1657-1667 (2017) - [j174]Qingshan Liu, Shaofu Yang, Jun Wang:
A Collective Neurodynamic Approach to Distributed Constrained Optimization. IEEE Trans. Neural Networks Learn. Syst. 28(8): 1747-1758 (2017) - [j173]Zhouhua Peng, Dan Wang, Jun Wang:
Predictor-Based Neural Dynamic Surface Control for Uncertain Nonlinear Systems in Strict-Feedback Form. IEEE Trans. Neural Networks Learn. Syst. 28(9): 2156-2167 (2017) - [j172]Jianchao Fan, Jun Wang:
A Collective Neurodynamic Optimization Approach to Nonnegative Matrix Factorization. IEEE Trans. Neural Networks Learn. Syst. 28(10): 2344-2356 (2017) - [j171]Sitian Qin, Xinyi Le, Jun Wang:
A Neurodynamic Optimization Approach to Bilevel Quadratic Programming. IEEE Trans. Neural Networks Learn. Syst. 28(11): 2580-2591 (2017) - [j170]Shaofu Yang, Qingshan Liu, Jun Wang:
Distributed Optimization Based on a Multiagent System in the Presence of Communication Delays. IEEE Trans. Syst. Man Cybern. Syst. 47(5): 717-728 (2017) - [j169]Peng Liu, Zhigang Zeng, Jun Wang:
Multiple Mittag-Leffler Stability of Fractional-Order Recurrent Neural Networks. IEEE Trans. Syst. Man Cybern. Syst. 47(8): 2279-2288 (2017) - [c94]Tianyu Yang, Xinyi Le, Jun Wang:
Robust pole assignment for synthesizing fractional-order control systems via neurodynamic optimization. ICCA 2017: 143-148 - [c93]Zhouhua Peng, Jun Wang, Dan Wang:
Saturated Kinetic Control of Autonomous Surface Vehicles Based on Neural Networks. ISNN (2) 2017: 93-100 - [c92]Zhouhua Peng, Jun Wang, Dan Wang:
State Estimation for Autonomous Surface Vehicles Based on Echo State Networks. ISNN (1) 2017: 127-134 - [c91]Jianchao Fan, Jun Wang:
A Collective Neurodynamic Optimization Approach to Nonnegative Tensor Decomposition. ISNN (2) 2017: 207-213 - 2016
- [j168]Qingshan Liu, Jun Wang, Zhigang Zeng:
Advances in Neural Networks, Intelligent Control and Information Processing. Neurocomputing 198: 1-3 (2016) - [j167]Peng Liu, Zhigang Zeng, Jun Wang:
Multistability analysis of a general class of recurrent neural networks with non-monotonic activation functions and time-varying delays. Neural Networks 79: 117-127 (2016) - [j166]Zhenyuan Guo, Shaofu Yang, Jun Wang:
Global synchronization of memristive neural networks subject to random disturbances via distributed pinning control. Neural Networks 84: 67-79 (2016) - [j165]Zheng Yan, Xinyi Le, Jun Wang:
Tube-Based Robust Model Predictive Control of Nonlinear Systems via Collective Neurodynamic Optimization. IEEE Trans. Ind. Electron. 63(7): 4377-4386 (2016) - [j164]Youshen Xia, Jun Wang:
A Bi-Projection Neural Network for Solving Constrained Quadratic Optimization Problems. IEEE Trans. Neural Networks Learn. Syst. 27(2): 214-224 (2016) - [j163]Qingshan Liu, Jun Wang:
L1-Minimization Algorithms for Sparse Signal Reconstruction Based on a Projection Neural Network. IEEE Trans. Neural Networks Learn. Syst. 27(3): 698-707 (2016) - [j162]Peng Liu, Zhigang Zeng, Jun Wang:
Multistability of Recurrent Neural Networks With Nonmonotonic Activation Functions and Mixed Time Delays. IEEE Trans. Syst. Man Cybern. Syst. 46(4): 512-523 (2016) - [j161]Yi Shen, Jun Wang:
Robustness of Global Exponential Stability of Nonlinear Systems With Random Disturbances and Time Delays. IEEE Trans. Syst. Man Cybern. Syst. 46(9): 1157-1166 (2016) - [c90]Xinyi Le, Jun Wang:
A two-time-scale neurodynamic approach to robust pole assignment. ICACI 2016: 60-67 - [c89]Shaofu Yang, Jun Wang, Qingshan Liu:
Multiple-objective optimization based on a two-time-scale neurodynamic system. ICACI 2016: 193-199 - [c88]Jiahui Pan, Yuanqing Li, Jun Wang:
An EEG-Based brain-computer interface for emotion recognition. IJCNN 2016: 2063-2067 - [c87]Min Han, Chengkun Zhang, Jun Wang:
Superpixel-based sparse representation classifier for hyperspectral image. IJCNN 2016: 3614-3619 - [c86]Min Han, Chengkun Zhang, Jun Wang:
Spectral-spatial Classification of Hyperspectral Image Based on Locality Preserving Discriminant Analysis. ISNN 2016: 21-29 - [c85]Jun Wang, Yiyin Wang, Xinping Guan:
An indoor localization system based on backscatter RFID tag. WCNC 2016: 1-6 - 2015
- [j160]Jun Wang, Zhigang Zeng, Zeng-Guang Hou:
Advances in neural networks. Neurocomputing 149: 1-2 (2015) - [j159]Guocheng Li, Zheng Yan, Jun Wang:
A one-layer recurrent neural network for constrained nonconvex optimization. Neural Networks 61: 10-21 (2015) - [j158]Sitian Qin, Jun Wang, Xiaoping Xue:
Convergence and attractivity of memristor-based cellular neural networks with time delays. Neural Networks 63: 223-233 (2015) - [j157]Jin Hu, Jun Wang:
Global exponential periodicity and stability of discrete-time complex-valued recurrent neural networks with time-delays. Neural Networks 66: 119-130 (2015) - [j156]Youshen Xia, Jun Wang:
Low-dimensional recurrent neural network-based Kalman filter for speech enhancement. Neural Networks 67: 131-139 (2015) - [j155]Qingshan Liu, Jun Wang:
A Second-Order Multi-Agent Network for Bound-Constrained Distributed Optimization. IEEE Trans. Autom. Control. 60(12): 3310-3315 (2015) - [j154]Bin Tang, Jun Wang, Yun Zhang:
A Delay-Distribution Approach to Stabilization of Networked Control Systems. IEEE Trans. Control. Netw. Syst. 2(4): 382-392 (2015) - [j153]Jie Lian, Jun Wang:
Passivity of Switched Recurrent Neural Networks With Time-Varying Delays. IEEE Trans. Neural Networks Learn. Syst. 26(2): 357-366 (2015) - [j152]Zheng Yan, Jun Wang:
Nonlinear Model Predictive Control Based on Collective Neurodynamic Optimization. IEEE Trans. Neural Networks Learn. Syst. 26(4): 840-850 (2015) - [j151]Zhenyuan Guo, Shaofu Yang, Jun Wang:
Global Exponential Synchronization of Multiple Memristive Neural Networks With Time Delay via Nonlinear Coupling. IEEE Trans. Neural Networks Learn. Syst. 26(6): 1300-1311 (2015) - [j150]Qingshan Liu, Jun Wang:
A Projection Neural Network for Constrained Quadratic Minimax Optimization. IEEE Trans. Neural Networks Learn. Syst. 26(11): 2891-2900 (2015) - [j149]Xinyi Le, Jun Wang:
Neurodynamics-Based Robust Pole Assignment for High-Order Descriptor Systems. IEEE Trans. Neural Networks Learn. Syst. 26(11): 2962-2971 (2015) - [j148]Songchuan Zhang, Youshen Xia, Jun Wang:
A Complex-Valued Projection Neural Network for Constrained Optimization of Real Functions in Complex Variables. IEEE Trans. Neural Networks Learn. Syst. 26(12): 3227-3238 (2015) - [j147]Zhenyuan Guo, Jun Wang, Zheng Yan:
Global Exponential Synchronization of Two Memristor-Based Recurrent Neural Networks With Time Delays via Static or Dynamic Coupling. IEEE Trans. Syst. Man Cybern. Syst. 45(2): 235-249 (2015) - [j146]Shaofu Yang, Zhenyuan Guo, Jun Wang:
Robust Synchronization of Multiple Memristive Neural Networks With Uncertain Parameters via Nonlinear Coupling. IEEE Trans. Syst. Man Cybern. Syst. 45(7): 1077-1086 (2015) - [c84]Jianchao Fan, Jun Wang:
Dynamic particle swarm optimization using a wavelet mutation strategy for composite function optimization. ICACI 2015: 329-333 - [c83]Xinyi Le, Jun Wang:
A neurodynamic optimization approach to synthesis of linear systems with fault detection via robust pole assignment. IJCNN 2015: 1-6 - [c82]Sitian Qin, Xinyi Le, Jun Wang:
A Neurodynamic Optimization Approach to Bilevel Linear Programming. ISNN 2015: 418-425 - [p2]Robert Kozma, Jun Wang, Zhigang Zeng:
Neurodynamics. Handbook of Computational Intelligence 2015: 607-648 - 2014
- [j145]Yonggang Peng, Jun Wang, Wei Wei:
Model predictive control of servo motor driven constant pump hydraulic system in injection molding process based on neurodynamic optimization. J. Zhejiang Univ. Sci. C 15(2): 139-146 (2014) - [j144]Guocheng Li, Zheng Yan, Jun Wang:
A one-layer recurrent neural network for constrained nonsmooth invex optimization. Neural Networks 50: 79-89 (2014) - [j143]Zhenyuan Guo, Jun Wang, Zheng Yan:
A systematic method for analyzing robust stability of interval neural networks with time-delays based on stability criteria. Neural Networks 54: 112-122 (2014) - [j142]Zheng Yan, Jun Wang, Guocheng Li:
A collective neurodynamic optimization approach to bound-constrained nonconvex optimization. Neural Networks 55: 20-29 (2014) - [j141]Jun Wang:
Editorial: The Transactions in Transition. IEEE Trans. Cybern. 44(4): 457 (2014) - [j140]Jianchao Fan, Jun Wang, Min Han:
Cooperative Coevolution for Large-Scale Optimization Based on Kernel Fuzzy Clustering and Variable Trust Region Methods. IEEE Trans. Fuzzy Syst. 22(4): 829-839 (2014) - [j139]Xinyi Le, Jun Wang:
Robust Pole Assignment for Synthesizing Feedback Control Systems Using Recurrent Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 25(2): 383-393 (2014) - [j138]Zheng Yan, Jun Wang:
Robust Model Predictive Control of Nonlinear Systems With Unmodeled Dynamics and Bounded Uncertainties Based on Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 25(3): 457-469 (2014) - [j137]Zhenyuan Guo, Jun Wang, Zheng Yan:
Attractivity Analysis of Memristor-Based Cellular Neural Networks With Time-Varying Delays. IEEE Trans. Neural Networks Learn. Syst. 25(4): 704-717 (2014) - [j136]Qingshan Liu, Tingwen Huang, Jun Wang:
One-Layer Continuous-and Discrete-Time Projection Neural Networks for Solving Variational Inequalities and Related Optimization Problems. IEEE Trans. Neural Networks Learn. Syst. 25(7): 1308-1318 (2014) - [j135]Zhenyuan Guo, Jun Wang, Zheng Yan:
Passivity and Passification of Memristor-Based Recurrent Neural Networks With Time-Varying Delays. IEEE Trans. Neural Networks Learn. Syst. 25(11): 2099-2109 (2014) - [c81]Xinyi Le, Jun Wang:
A neurodynamic optimization approach to robust pole assignment based on convex reformulation. CCA 2014: 1425-1430 - [c80]Jianchao Fan, Dongzhi Zhao, Jun Wang:
Oil spill GF-1 remote sensing image segmentation using an evolutionary feedforward neural network. IJCNN 2014: 460-464 - [c79]Xinyi Le, Zheng Yan, Jun Wang:
Neurodynamics-based robust eigenstructure assignment for second-order descriptor systems. IJCNN 2014: 2770-2775 - [c78]Xinzhe Wang, Zheng Yan, Jun Wang:
Model predictive control of multi-robot formation based on the simplified dual neural network. IJCNN 2014: 3161-3166 - [c77]Zhiying Liu, Xinzhe Wang, Jun Wang:
Neurodynamics-based model predictive control of autonomous underwater vehicles in vertical plane. IJCNN 2014: 3167-3172 - [c76]Xinyi Le, Jun Wang, Zheng Yan:
Neurodynamics-based robust pole assignment for synthesizing second-order control systems via output feedback based on a convex feasibility problem reformulation. INISTA 2014: 1-6 - [c75]Jin Hu, Jun Wang:
Multistability and Multiperiodicity Analysis of Complex-Valued Neural Networks. ISNN 2014: 59-68 - [c74]Xinzhe Wang, Jun Wang:
Neurodynamics-Based Model Predictive Control for Trajectory Tracking of Autonomous Underwater Vehicles. ISNN 2014: 184-191 - [c73]Jianchao Fan, Jun Wang, Dongzhi Zhao:
PolSAR Image Segmentation Based on the Modified Non-negative Matrix Factorization and Support Vector Machine. ISNN 2014: 594-601 - [c72]Zheng Yan, Xinyi Le, Jun Wang:
Model Predictive Control of Linear Parameter Varying Systems Based on a Recurrent Neural Network. TPNC 2014: 255-266 - 2013
- [j134]Alireza Hosseini, Jun Wang, Seyed Mohammad Hosseini:
A recurrent neural network for solving a class of generalized convex optimization problems. Neural Networks 44: 78-86 (2013) - [j133]Zhenyuan Guo, Jun Wang, Zheng Yan:
Global exponential dissipativity and stabilization of memristor-based recurrent neural networks with time-varying delays. Neural Networks 48: 158-172 (2013) - [j132]Jun Wang, Ying Tan:
Efficient Euclidean distance transform algorithm of binary images in arbitrary dimensions. Pattern Recognit. 46(1): 230-242 (2013) - [j131]Qingshan Liu, Jun Wang:
A One-Layer Projection Neural Network for Nonsmooth Optimization Subject to Linear Equalities and Bound Constraints. IEEE Trans. Neural Networks Learn. Syst. 24(5): 812-824 (2013) - [c71]Xinyi Le, Jun Wang:
A neurodynamic optimization approach to robust pole assignment for synthesizing linear state feedback control systems. CDC 2013: 6806-6811 - [c70]Zheng Yan, Jun Wang:
Stochastic model predictive control of Markov jump linear systems based on a two-layer recurrent neural network. ICIA 2013: 564-569 - [c69]Xinyi Le, Zheng Yan, Jun Wang:
A neurodynamic optimization approach to robust pole assignment for synthesizing piecewise linear control systems. ICIA 2013: 1334-1339 - [c68]Xinyi Le, Jun Wang:
A Neurodynamic Optimization Approach to Robust Pole Assignment for Synthesizing Linear Control Systems Based on a Convex Feasibility Problem Reformulation. ICONIP (1) 2013: 284-291 - [c67]Xinyi Le, Jun Wang:
Neurodynamic optimization approaches to robust pole assignment based on alternative robustness measures. IJCNN 2013: 1-8 - 2012
- [j130]Qingshan Liu, Zhishan Guo, Jun Wang:
A one-layer recurrent neural network for constrained pseudoconvex optimization and its application for dynamic portfolio optimization. Neural Networks 26: 99-109 (2012) - [j129]Yunpeng Pan, Jun Wang:
Model Predictive Control of Unknown Nonlinear Dynamical Systems Based on Recurrent Neural Networks. IEEE Trans. Ind. Electron. 59(8): 3089-3101 (2012) - [j128]Zheng Yan, Jun Wang:
Model Predictive Control of Nonlinear Systems With Unmodeled Dynamics Based on Feedforward and Recurrent Neural Networks. IEEE Trans. Ind. Informatics 8(4): 746-756 (2012) - [j127]Yi Shen, Jun Wang:
Robustness Analysis of Global Exponential Stability of Recurrent Neural Networks in the Presence of Time Delays and Random Disturbances. IEEE Trans. Neural Networks Learn. Syst. 23(1): 87-96 (2012) - [j126]Decai Li, Min Han, Jun Wang:
Chaotic Time Series Prediction Based on a Novel Robust Echo State Network. IEEE Trans. Neural Networks Learn. Syst. 23(5): 787-799 (2012) - [j125]Xiaolin Hu, Jun Wang:
Solving the Assignment Problem Using Continuous-Time and Discrete-Time Improved Dual Networks. IEEE Trans. Neural Networks Learn. Syst. 23(5): 821-827 (2012) - [j124]Jin Hu, Jun Wang:
Global Stability of Complex-Valued Recurrent Neural Networks With Time-Delays. IEEE Trans. Neural Networks Learn. Syst. 23(6): 853-865 (2012) - [c66]Zheng Yan, Jun Wang:
A neurodynamic approach to bicriteria model predictive control of nonlinear affine systems based on a Goal Programming formulation. IJCNN 2012: 1-7 - [c65]Kin Luen Cheng, Jianchao Fan, Jun Wang:
A two-pass clustering algorithm based on linear assignment initialization and k-means method. ISCCSP 2012: 1-5 - [c64]Zheng Yan, Siu Fong Chung, Jun Wang:
Model predictive control of autonomous underwater vehicles based on the simplified dual neural network. SMC 2012: 2551-2556 - [c63]Jun Wang, Ying Tan:
Hausdorff Distance with k-Nearest Neighbors. ICSI (2) 2012: 272-281 - [e15]Jun Wang, Gary G. Yen, Marios M. Polycarpou:
Advances in Neural Networks - ISNN 2012 - 9th International Symposium on Neural Networks, Shenyang, China, July 11-14, 2012. Proceedings, Part I. Lecture Notes in Computer Science 7367, Springer 2012, ISBN 978-3-642-31345-5 [contents] - [e14]Jun Wang, Gary G. Yen, Marios M. Polycarpou:
Advances in Neural Networks - ISNN 2012 - 9th International Symposium on Neural Networks, Shenyang, China, July 11-14, 2012. Proceedings, Part II. Lecture Notes in Computer Science 7368, Springer 2012, ISBN 978-3-642-31361-5 [contents] - 2011
- [j123]Qingshan Liu, Jun Wang:
Finite-Time Convergent Recurrent Neural Network With a Hard-Limiting Activation Function for Constrained Optimization With Piecewise-Linear Objective Functions. IEEE Trans. Neural Networks 22(4): 601-613 (2011) - [j122]Min Han, Jianchao Fan, Jun Wang:
A Dynamic Feedforward Neural Network Based on Gaussian Particle Swarm Optimization and its Application for Predictive Control. IEEE Trans. Neural Networks 22(9): 1457-1468 (2011) - [j121]Zhishan Guo, Qingshan Liu, Jun Wang:
A One-Layer Recurrent Neural Network for Pseudoconvex Optimization Subject to Linear Equality Constraints. IEEE Trans. Neural Networks 22(12): 1892-1900 (2011) - [j120]Qingshan Liu, Jun Wang:
A One-Layer Recurrent Neural Network for Constrained Nonsmooth Optimization. IEEE Trans. Syst. Man Cybern. Part B 41(5): 1323-1333 (2011) - [c62]Jun Wang, Ying Tan:
Efficient Euclidean distance transform using perpendicular bisector segmentation. CVPR 2011: 1625-1632 - [c61]Jun Wang, Ying Tan:
Morphological image enhancement procedure design by using genetic programming. GECCO 2011: 1435-1442 - [c60]Qingshan Liu, Jun Wang:
A One-Layer Dual Recurrent Neural Network with a Heaviside Step Activation Function for Linear Programming with Its Linear Assignment Application. ICANN (2) 2011: 253-260 - [c59]Zheng Yan, Jun Wang:
Robust model predictive control of nonlinear affine systems based on a two-layer recurrent neural network. IJCNN 2011: 24-29 - [c58]Qingshan Liu, Jun Wang:
A one-layer recurrent neural network for constrained single-ratio linear fractional programming. ISCAS 2011: 1089-1092 - [c57]Zhishan Guo, Jun Wang:
Information retrieval from large data sets via multiple-winners-take-all. ISCAS 2011: 2669-2672 - [c56]Xiaolin Hu, Jun Wang:
Solving the Assignment Problem with the Improved Dual Neural Network. ISNN (1) 2011: 547-556 - [c55]Jun Wang, Ying Tan:
A Novel Genetic Programming Algorithm for Designing Morphological Image Analysis Method. ICSI (1) 2011: 549-558 - [p1]Qingshan Liu, Jun Wang:
Recurrent Neural Networks with Discontinuous Activation Functions for Convex Optimization. Integration of Swarm Intelligence and Artificial Neural Network 2011: 95-120 - 2010
- [j119]Xinzhe Wang, Min Han, Jun Wang:
Applying input variables selection technique on input weighted support vector machine modeling for BOF endpoint prediction. Eng. Appl. Artif. Intell. 23(6): 1012-1018 (2010) - [j118]Jun Wang:
Analysis and design of a k-winners-take-all model with a single state variable and the heaviside step activation function. IEEE Trans. Neural Networks 21(9): 1496-1506 (2010) - [c54]Jun Wang, Ying Tan:
A novel genetic programming based morphological image analysis algorithm. GECCO 2010: 979-980 - [c53]Qingshan Liu, Jun Wang:
A One-Layer Dual Neural Network with a Unipolar Hard-Limiting Activation Function for Shortest-Path Routing. ICANN (2) 2010: 498-505 - [c52]Zhishan Guo, Jun Wang:
A neurodynamic optimization approach to constrained sparsity maximization based on alternative objective functions. IJCNN 2010: 1-8 - [c51]Jin Hu, Jun Wang:
Global uniform asymptotic stability of memristor-based recurrent neural networks with time delays. IJCNN 2010: 1-8 - [c50]Jun Wang, Zhishan Guo:
Parametric Sensitivity and Scalability of k-Winners-Take-All Networks with a Single State Variable and Infinity-Gain Activation Functions. ISNN (1) 2010: 77-85 - [c49]Yunpeng Pan, Jun Wang:
A neurodynamic optimization approach to nonlinear model predictive control. SMC 2010: 1597-1602 - [e13]Xiao Zhi Gao, António Gaspar-Cunha, Mario Köppen, Gerald Schaefer, Jun Wang:
Soft Computing in Industrial Applications - Algorithms, Integration, and Success Stories, Proceedings of the 14th Online World Conference on Soft Computing in Industrial Applications (WSC14), November 17-29, 2009. Advances in Intelligent and Soft Computing 75, Springer 2010, ISBN 978-3-642-11281-2 [contents]
2000 – 2009
- 2009
- [j117]Jun Wang:
2008 IEEE World Congress on Computational Intelligence (WCCI 2008) [Conference Reports]. IEEE Comput. Intell. Mag. 4(1): 11-12 (2009) - [j116]Peng Du, Jun Wang, Weijia Jia, Liusheng Huang, Huan Li:
Minimizing transmission time in 802.16-based multi-channel mesh networks. Int. J. Pervasive Comput. Commun. 5(3): 295-311 (2009) - [j115]Qi Luo, Ben K. M. Sim, Jun Wang:
Guest Editorial. J. Multim. 4(6): 331-332 (2009) - [j114]Zhigang Zeng, Jun Wang:
Associative memories based on continuous-time cellular neural networks designed using space-invariant cloning templates. Neural Networks 22(5-6): 651-657 (2009) - [j113]Jianchao Fan, Min Han, Jun Wang:
Single point iterative weighted fuzzy C-means clustering algorithm for remote sensing image segmentation. Pattern Recognit. 42(11): 2527-2540 (2009) - [j112]Tiemin Mei, Fuliang Yin, Jun Wang:
Blind Source Separation Based on Cumulants With Time and Frequency Non-Properties. IEEE Trans. Speech Audio Process. 17(6): 1099-1108 (2009) - [j111]Yi Shen, Jun Wang:
Almost Sure Exponential Stability of Recurrent Neural Networks With Markovian Switching. IEEE Trans. Neural Networks 20(5): 840-855 (2009) - [c48]Yunpeng Pan, Jun Wang:
Model predictive control for nonlinear affine systems based on the simplified dual neural network. CCA/ISIC 2009: 683-688 - [c47]Zhigang Zeng, Jun Wang, Tingwen Huang:
Global Exponential Stability of Recurrent Neural Networks with Time-Dependent Switching Dynamics. ICANN (2) 2009: 583-592 - [c46]Zhigang Zeng, Jun Wang:
Analysis and design of associative memories based on cellular neural networks with space-invariant cloning templates. IJCNN 2009: 3504-3511 - [c45]Zhigang Zeng, Jun Wang:
Analysis and synthesis of associative memories based on Brain-State-in-a-Box neural networks. IJCNN 2009: 3512-3519 - [c44]Xiaolin Hu, Jun Wang, Bo Zhang:
Motion Planning with Obstacle Avoidance for Kinematically Redundant Manipulators Based on Two Recurrent Neural Networks. SMC 2009: 137-142 - 2008
- [j110]Jun Wang, Peng Du, Weijia Jia, Liusheng Huang, Huan Li:
Joint bandwidth allocation, element assignment and scheduling for wireless mesh networks with MIMO links. Comput. Commun. 31(7): 1372-1384 (2008) - [j109]Jun Wang, Huan Li, Weijia Jia, Liusheng Huang, Jingyuan Li:
Interface assignment and bandwidth allocation for multi-channel wireless mesh networks. Comput. Commun. 31(17): 3995-4004 (2008) - [j108]Irwin King, Jun Wang:
International Conference on Neural Information Processing (ICONIP 2006). Neurocomputing 71(16-18): 3051 (2008) - [j107]Qingshan Liu, Jun Wang:
A One-Layer Recurrent Neural Network with a Discontinuous Activation Function for Linear Programming. Neural Comput. 20(5): 1366-1383 (2008) - [j106]Qingshan Liu, Jun Wang:
Two k-winners-take-all networks with discontinuous activation functions. Neural Networks 21(2-3): 406-413 (2008) - [j105]Wenlian Lu, Jun Wang:
Convergence Analysis of a Class of Nonsmooth Gradient Systems. IEEE Trans. Circuits Syst. I Regul. Pap. 55-I(11): 3514-3527 (2008) - [j104]Yi Shen, Jun Wang:
An Improved Algebraic Criterion for Global Exponential Stability of Recurrent Neural Networks With Time-Varying Delays. IEEE Trans. Neural Networks 19(3): 528-531 (2008) - [j103]Qingshan Liu, Jun Wang:
A One-Layer Recurrent Neural Network With a Discontinuous Hard-Limiting Activation Function for Quadratic Programming. IEEE Trans. Neural Networks 19(4): 558-570 (2008) - [j102]Youshen Xia, Gang Feng, Jun Wang:
A Novel Recurrent Neural Network for Solving Nonlinear Optimization Problems With Inequality Constraints. IEEE Trans. Neural Networks 19(8): 1340-1353 (2008) - [j101]Xiaolin Hu, Jun Wang:
An Improved Dual Neural Network for Solving a Class of Quadratic Programming Problems and Its k-Winners-Take-All Application. IEEE Trans. Neural Networks 19(12): 2022-2031 (2008) - [j100]Zhigang Zeng, Jun Wang:
Design and Analysis of High-Capacity Associative Memories Based on a Class of Discrete-Time Recurrent Neural Networks. IEEE Trans. Syst. Man Cybern. Part B 38(6): 1525-1536 (2008) - [c43]Yunpeng Pan, Jun Wang:
Two neural network approaches to model predictive control. ACC 2008: 1685-1690 - [c42]Jun Wang:
Obstacle Avoidance for Kinematically Redundant Manipulators Based on Recurrent Neural Networks. ICIRA (1) 2008: 10-13 - [c41]Qingshan Liu, Jun Wang:
A One-Layer Recurrent Neural Network for Non-smooth Convex Optimization Subject to Linear Equality Constraints. ICONIP (2) 2008: 1003-1010 - [c40]Jun Wang, Weijia Jia, Liusheng Huang:
An efficient centralized scheduling algorithm for IEEE 802.16 multi-radio mesh networks. ICUIMC 2008: 1-5 - [c39]Qingshan Liu, Jun Wang:
A one-layer recurrentneural network for convex programming. IJCNN 2008: 83-90 - [c38]Yunpeng Pan, Jun Wang:
Nonlinear model predictive control using a recurrent neural network. IJCNN 2008: 2296-2301 - [c37]Yunpeng Pan, Jun Wang:
Robust Model Predictive Control Using a Discrete-Time Recurrent Neural Network. ISNN (1) 2008: 883-892 - [e12]Jacek M. Zurada, Gary G. Yen, Jun Wang:
Computational Intelligence: Research Frontiers, IEEE World Congress on Computational Intelligence, WCCI 2008, Hong Kong, China, June 1-6, 2008, Plenary/Invited Lectures. Lecture Notes in Computer Science 5050, Springer 2008, ISBN 978-3-540-68858-7 [contents] - 2007
- [j99]Zhigang Zeng, Jun Wang:
Analysis and Design of Associative Memories Based on Recurrent Neural Networks with Linear Saturation Activation Functions and Time-Varying Delays. Neural Comput. 19(8): 2149-2182 (2007) - [j98]Wenwu Yu, Jinde Cao, Jun Wang:
An LMI approach to global asymptotic stability of the delayed Cohen-Grossberg neural network via nonsmooth analysis. Neural Networks 20(7): 810-818 (2007) - [j97]Boshan Chen, Jun Wang:
Global exponential periodicity and global exponential stability of a class of recurrent neural networks with various activation functions and time-varying delays. Neural Networks 20(10): 1067-1080 (2007) - [j96]Fuliang Yin, Tiemin Mei, Jun Wang:
Blind-Source Separation Based on Decorrelation and Nonstationarity. IEEE Trans. Circuits Syst. I Regul. Pap. 54-I(5): 1150-1158 (2007) - [j95]Xiaolin Hu, Jun Wang:
Solving Generally Constrained Generalized Linear Variational Inequalities Using the General Projection Neural Networks. IEEE Trans. Neural Networks 18(6): 1697-1708 (2007) - [j94]Yi Shen, Jun Wang:
Noise-Induced Stabilization of the Recurrent Neural Networks With Mixed Time-Varying Delays and Markovian-Switching Parameters. IEEE Trans. Neural Networks 18(6): 1857-1862 (2007) - [j93]Xiaolin Hu, Jun Wang:
A Recurrent Neural Network for Solving a Class of General Variational Inequalities. IEEE Trans. Syst. Man Cybern. Part B 37(3): 528-539 (2007) - [j92]Xiaolin Hu, Jun Wang:
Design of General Projection Neural Networks for Solving Monotone Linear Variational Inequalities and Linear and Quadratic Optimization Problems. IEEE Trans. Syst. Man Cybern. Part B 37(5): 1414-1421 (2007) - [c36]Tao Xiang, Jun Wang, Xiaofeng Liao:
An improved particle swarm optimizer with momentum. IEEE Congress on Evolutionary Computation 2007: 3341-3345 - [c35]Jingyuan Li, Weijia Jia, Liusheng Huang, Mingjun Xiao, Jun Wang:
An Efficient Source Peer Selection Algorithm in Hybrid P2P File Sharing Systems. ICA3PP 2007: 380-390 - [c34]Xiaolin Hu, Jun Wang:
Solving the k-Winners-Take-All Problem and the Oligopoly Cournot-Nash Equilibrium Problem Using the General Projection Neural Networks. ICONIP (1) 2007: 703-712 - [c33]Shenshen Gu, Jun Wang:
A K-Winners-Take-All Neural Network Based on Linear Programming Formulation. IJCNN 2007: 37-40 - [c32]Qingshan Liu, Jun Wang:
A One-layer Recurrent Neural Network with a Unipolar Hard-limiting Activation Function for k-Winners-Take-All Operation. IJCNN 2007: 84-89 - [c31]Youshen Xia, Jun Wang:
Solving Variational Inequality Problems with Linear Constraints Based on a Novel Recurrent Neural Network. ISNN (3) 2007: 95-104 - [c30]Xiaolin Hu, Jun Wang:
Convergence of a Recurrent Neural Network for Nonconvex Optimization Based on an Augmented Lagrangian Function. ISNN (3) 2007: 194-203 - 2006
- [j91]Zhigang Zeng, Jun Wang:
Multiperiodicity and Exponential Attractivity Evoked by Periodic External Inputs in Delayed Cellular Neural Networks. Neural Comput. 18(4): 848-870 (2006) - [j90]Zhigang Zeng, Jun Wang:
Global exponential stability of recurrent neural networks with time-varying delays in the presence of strong external stimuli. Neural Networks 19(10): 1528-1537 (2006) - [j89]Sanqing Hu, Jun Wang:
Global robust stability of a class of discrete-time interval neural networks. IEEE Trans. Circuits Syst. I Regul. Pap. 53-I(1): 129-138 (2006) - [j88]Zhigang Zeng, Jun Wang:
Complete stability of cellular neural networks with time-varying delays. IEEE Trans. Circuits Syst. I Regul. Pap. 53-I(4): 944-955 (2006) - [j87]Zhigang Zeng, Jun Wang:
Improved conditions for global exponential stability of recurrent neural networks with time-varying delays. IEEE Trans. Neural Networks 17(3): 623-635 (2006) - [j86]Zhigang Zeng, Jun Wang:
Multiperiodicity of Discrete-Time Delayed Neural Networks Evoked by Periodic External Inputs. IEEE Trans. Neural Networks 17(5): 1141-1151 (2006) - [j85]Xiaolin Hu, Jun Wang:
Solving Pseudomonotone Variational Inequalities and Pseudoconvex Optimization Problems Using the Projection Neural Network. IEEE Trans. Neural Networks 17(6): 1487-1499 (2006) - [j84]Shubao Liu, Jun Wang:
A Simplified Dual Neural Network for Quadratic Programming With Its KWTA Application. IEEE Trans. Neural Networks 17(6): 1500-1510 (2006) - [c29]Xiaolin Hu, Jun Wang:
Solving Extended Linear Programming Problems Using a Class of Recurrent Neural Networks. ICONIP (2) 2006: 994-1003 - [c28]Qingshan Liu, Jun Wang:
A Recurrent Neural Network for Non-smooth Convex Programming Subject to Linear Equality and Bound Constraints. ICONIP (2) 2006: 1004-1013 - [c27]Zhigang Zeng, Jun Wang:
Synthesis of Bipolar Associative Memories Based on Cellular Neural Networks with Two-dimensional Space-invariant Templates. IJCNN 2006: 1015-1020 - [c26]Xiaolin Hu, Jun Wang:
A Recurrent Neural Network for Solving Nonconvex Optimization Problems. IJCNN 2006: 4522-4528 - [c25]Sanqing Hu, Derong Liu, Jun Wang:
Sequential blind extraction of instantaneous mixtures with arbitrary rank. ISCAS 2006 - [c24]Xiaolin Hu, Jun Wang:
Global stability of a recurrent neural network for solving pseudomonotone variational inequalities. ISCAS 2006 - [c23]Qingshan Liu, Jun Wang, Jinde Cao:
A Delayed Lagrangian Network for Solving Quadratic Programming Problems with Equality Constraints. ISNN (1) 2006: 369-378 - [c22]Zhigang Zeng, Jun Wang:
Associative Memories Based on Discrete-Time Cellular Neural Networks with One-Dimensional Space-Invariant Templates. ISNN (1) 2006: 824-829 - [e11]Irwin King, Jun Wang, Laiwan Chan, DeLiang L. Wang:
Neural Information Processing, 13th International Conference, ICONIP 2006, Hong Kong, China, October 3-6, 2006, Proceedings, Part I. Lecture Notes in Computer Science 4232, Springer 2006, ISBN 3-540-46479-4 [contents] - [e10]Irwin King, Jun Wang, Laiwan Chan, DeLiang L. Wang:
Neural Information Processing, 13th International Conference, ICONIP 2006, Hong Kong, China, October 3-6, 2006, Proceedings, Part II. Lecture Notes in Computer Science 4233, Springer 2006, ISBN 3-540-46481-6 [contents] - [e9]Irwin King, Jun Wang, Laiwan Chan, DeLiang L. Wang:
Neural Information Processing, 13th International Conference, ICONIP 2006, Hong Kong, China, October 3-6, 2006, Proceedings, Part III. Lecture Notes in Computer Science 4234, Springer 2006, ISBN 3-540-46484-0 [contents] - [e8]Jun Wang, Zhang Yi, Jacek M. Zurada, Bao-Liang Lu, Hujun Yin:
Advances in Neural Networks - ISNN 2006, Third International Symposium on Neural Networks, Chengdu, China, May 28 - June 1, 2006, Proceedings, Part I. Lecture Notes in Computer Science 3971, Springer 2006, ISBN 3-540-34439-X [contents] - [e7]Jun Wang, Zhang Yi, Jacek M. Zurada, Bao-Liang Lu, Hujun Yin:
Advances in Neural Networks - ISNN 2006, Third International Symposium on Neural Networks, Chengdu, China, May 28 - June 1, 2006, Proceedings, Part II. Lecture Notes in Computer Science 3972, Springer 2006, ISBN 3-540-34437-3 [contents] - [e6]Jun Wang, Zhang Yi, Jacek M. Zurada, Bao-Liang Lu, Hujun Yin:
Advances in Neural Networks - ISNN 2006, Third International Symposium on Neural Networks, Chengdu, China, May 28 - June 1, 2006, Proceedings, Part III. Lecture Notes in Computer Science 3973, Springer 2006, ISBN 3-540-34482-9 [contents] - 2005
- [j83]Yuanqing Li, Jun Wang:
A network model for blind source extraction in various ill-conditioned cases. Neural Networks 18(10): 1348-1356 (2005) - [j82]Jinde Cao, Jun Wang:
Global asymptotic and robust stability of recurrent neural networks with time delays. IEEE Trans. Circuits Syst. I Regul. Pap. 52-I(2): 417-426 (2005) - [j81]Zhigang Zeng, Jun Wang, Xiaoxin Liao:
Global asymptotic stability and global exponential stability of neural networks with unbounded time-varying delays. IEEE Trans. Circuits Syst. II Express Briefs 52-II(3): 168-173 (2005) - [j80]Jinde Cao, Jun Wang:
Global exponential stability and periodicity of recurrent neural networks with time delays. IEEE Trans. Circuits Syst. I Regul. Pap. 52-I(5): 920-931 (2005) - [j79]Xiaoxin Liao, Jun Wang, Zhigang Zeng:
Global asymptotic stability and global exponential stability of delayed cellular neural networks. IEEE Trans. Circuits Syst. II Express Briefs 52-II(7): 403-409 (2005) - [j78]Youshen Xia, Jun Wang:
A recurrent neural network for solving nonlinear convex programs subject to linear constraints. IEEE Trans. Neural Networks 16(2): 379-386 (2005) - [j77]Boshan Chen, Jun Wang:
Global exponential periodicity of a class of recurrent neural networks with oscillating parameters and time-varying delays. IEEE Trans. Neural Networks 16(6): 1440-1448 (2005) - [j76]Youshen Xia, Gang Feng, Jun Wang:
A primal-dual neural network for online resolving constrained kinematic redundancy in robot motion control. IEEE Trans. Syst. Man Cybern. Part B 35(1): 54-64 (2005) - [c21]Shubao Liu, Jun Wang:
Obstacle Avoidance for Kinematically Redundant Manipulators Using the Deterministic Annealing Neural Network. ISNN (3) 2005: 240-246 - [e5]Jun Wang, Xiaofeng Liao, Zhang Yi:
Advances in Neural Networks - ISNN 2005, Second International Symposium on Neural Networks, Chongqing, China, May 30 - June 1, 2005, Proceedings, Part I. Lecture Notes in Computer Science 3496, Springer 2005, ISBN 3-540-25912-0 [contents] - [e4]Jun Wang, Xiaofeng Liao, Zhang Yi:
Advances in Neural Networks - ISNN 2005, Second International Symposium on Neural Networks, Chongqing, China, May 30 - June 1, 2005, Proceedings, Part II. Lecture Notes in Computer Science 3497, Springer 2005, ISBN 3-540-25913-9 [contents] - [e3]Jun Wang, Xiaofeng Liao, Zhang Yi:
Advances in Neural Networks - ISNN 2005, Second International Symposium on Neural Networks, Chongqing, China, May 30 - June 1, 2005, Proceedings, Part III. Lecture Notes in Computer Science 3498, Springer 2005, ISBN 3-540-25914-7 [contents] - 2004
- [j75]Jinde Cao, Jun Wang:
Delay-dependent robust stability of uncertain nonlinear systems with time delay. Appl. Math. Comput. 154(1): 289-297 (2004) - [j74]Xiaoxin Liao, Xuerong Mao, Jun Wang, Zhigang Zeng:
Algebraic conditions of stability for hopfield neural network. Sci. China Ser. F Inf. Sci. 47(1): 113-125 (2004) - [j73]Jinde Cao, Jun Wang:
Absolute exponential stability of recurrent neural networks with Lipschitz-continuous activation functions and time delays. Neural Networks 17(3): 379-390 (2004) - [j72]Youshen Xia, Gang Feng, Jun Wang:
A recurrent neural network with exponential convergence for solving convex quadratic program and related linear piecewise equations. Neural Networks 17(7): 1003-1015 (2004) - [j71]Derong Liu, Sanqing Hu, Jun Wang:
Global output convergence of a class of continuous-time recurrent neural networks with time-varying thresholds. IEEE Trans. Circuits Syst. II Express Briefs 51-II(4): 161-167 (2004) - [j70]Youshen Xia, Jun Wang:
A recurrent neural network for nonlinear convex optimization subject to nonlinear inequality constraints. IEEE Trans. Circuits Syst. I Regul. Pap. 51-I(7): 1385-1394 (2004) - [j69]Yuanqing Li, Jun Wang, Andrzej Cichocki:
Blind source extraction from convolutive mixtures in ill-conditioned multi-input multi-output channels. IEEE Trans. Circuits Syst. I Regul. Pap. 51-I(9): 1814-1822 (2004) - [j68]Zhigang Zeng, Jun Wang, Xiaoxin Liao:
Stability analysis of delayed cellular neural networks described using cloning templates. IEEE Trans. Circuits Syst. I Regul. Pap. 51-I(11): 2313-2324 (2004) - [j67]Ying Tan, Jun Wang:
A Support Vector Machine with a Hybrid Kernel and Minimal Vapnik-Chervonenkis Dimension. IEEE Trans. Knowl. Data Eng. 16(4): 385-395 (2004) - [j66]Youshen Xia, Jun Wang:
A general projection neural network for solving monotone variational inequalities and related optimization problems. IEEE Trans. Neural Networks 15(2): 318-328 (2004) - [j65]Youshen Xia, Jun Wang, Lo Ming Fok:
Grasping-force optimization for multifingered robotic hands using a recurrent neural network. IEEE Trans. Robotics 20(3): 549-554 (2004) - [j64]Yunong Zhang, Jun Wang:
Obstacle avoidance for kinematically redundant manipulators using a dual neural network. IEEE Trans. Syst. Man Cybern. Part B 34(1): 752-759 (2004) - [j63]Youshen Xia, Jun Wang:
A one-layer recurrent neural network for support vector machine learning. IEEE Trans. Syst. Man Cybern. Part B 34(2): 1261-1269 (2004) - [j62]Lianfang Tian, Jun Wang, Zongyuan Mao:
Constrained motion control of flexible robot manipulators based on recurrent neural networks. IEEE Trans. Syst. Man Cybern. Part B 34(3): 1541-1552 (2004) - [c20]Shubao Liu, Jun Wang:
A Dual Neural Network for Bi-criteria Torque Optimization of Redundant Robot Manipulators. ICONIP 2004: 1142-1147 - [e2]Fuliang Yin, Jun Wang, Chengan Guo:
Advances in Neural Networks - ISNN 2004, International Symposium on Neural Networks, Dalian, China, August 19-21, 2004, Proceedings, Part I. Lecture Notes in Computer Science 3173, Springer 2004, ISBN 3-540-22841-1 [contents] - [e1]Fuliang Yin, Jun Wang, Chengan Guo:
Advances in Neural Networks - ISNN 2004, International Symposium on Neural Networks, Dalian, China, August 19-21, 2004, Proceedings, Part II. Lecture Notes in Computer Science 3174, Springer 2004, ISBN 3-540-22843-8 [contents] - 2003
- [j61]Jun Wang:
Formation of machine cells and part families in cellular manufacturing systems using a linear assignment algorithm. Autom. 39(9): 1607-1615 (2003) - [j60]Xiaofeng Liao, Jun Wang, Jinde Cao:
Global and Robust Stability of Interval Hopfield Neural Networks with Time-Varying Delays. Int. J. Neural Syst. 13(3): 171-182 (2003) - [j59]Jinde Cao, Jun Wang, Xiaofeng Liao:
Novel Stability Criteria for Delayed Cellular Neural Networks. Int. J. Neural Syst. 13(5): 367-375 (2003) - [j58]Donald L. Hung, Jun Wang:
Digital hardware realization of a recurrent neural network for solving the assignment problem. Neurocomputing 51: 447-461 (2003) - [j57]Sanqing Hu, Jun Wang:
Absolute exponential stability of a class of continuous-time recurrent neural networks. IEEE Trans. Neural Networks 14(1): 35-45 (2003) - [j56]Yunong Zhang, Jun Wang, Youshen Xia:
A dual neural network for redundancy resolution of kinematically redundant manipulators subject to joint limits and joint velocity limits. IEEE Trans. Neural Networks 14(3): 658-667 (2003) - [j55]Xiangyang Zhu, Jun Wang:
Synthesis of force-closure grasps on 3-D objects based on the Q distance. IEEE Trans. Robotics Autom. 19(4): 669-679 (2003) - [j54]Xiangyang Zhu, Han Ding, Jun Wang:
Grasp analysis and synthesis based on a new quantitative measure. IEEE Trans. Robotics Autom. 19(6): 942-953 (2003) - [c19]Yunong Zhang, Jun Wang:
Obstacle avoidance of redundant manipulators using a dual neural network. ICRA 2003: 2747-2752 - [c18]Youshen Xia, Jun Wang:
A recurrent neural network for nonlinear convex programming. ISCAS (3) 2003: 470-473 - 2002
- [j53]Danchi Jiang, Jun Wang:
Augmented gradient flows for on-line robust pole assignment via state and output feedback. Autom. 38(2): 279-286 (2002) - [j52]Sanqing Hu, Jun Wang:
A gradient flow approach to on-line robust pole assignment for synthesizing output feedback control systems. Autom. 38(11): 1959-1968 (2002) - [j51]Sanqing Hu, Jun Wang:
Global asymptotic stability and global exponential stability of continuous-time recurrent neural networks. IEEE Trans. Autom. Control. 47(5): 802-807 (2002) - [j50]Yunong Zhang, Jun Wang:
Global exponential stability of recurrent neural networks for synthesizing linear feedback control systems via pole assignment. IEEE Trans. Neural Networks 13(3): 633-644 (2002) - [j49]Yunong Zhang, Danchi Jiang, Jun Wang:
A recurrent neural network for solving Sylvester equation with time-varying coefficients. IEEE Trans. Neural Networks 13(5): 1053-1063 (2002) - [j48]Yunong Zhang, Jun Wang, Yangsheng Xu:
A dual neural network for bi-criteria kinematic control of redundant manipulators. IEEE Trans. Robotics Autom. 18(6): 923-931 (2002) - [j47]Yunong Zhang, Jun Wang:
A dual neural network for constrained joint torque optimization of kinematically redundant manipulators. IEEE Trans. Syst. Man Cybern. Part B 32(5): 654-662 (2002) - [j46]Yuanqing Li, Jun Wang:
Sequential blind extraction of instantaneously mixed sources. IEEE Trans. Signal Process. 50(5): 997-1006 (2002) - [j45]Zhenya He, Yifeng Zhang, Chengjian Wei, Jun Wang:
A multistage self-organizing algorithm combined transiently chaotic neural network for cellular channel assignment. IEEE Trans. Veh. Technol. 51(6): 1386-1396 (2002) - 2001
- [j44]Sanqing Hu, Jun Wang:
Quadratic stabilizability of a new class of linear systems with structural independent time-varying uncertainty. Autom. 37(1): 51-59 (2001) - [j43]Yunong Zhang, Jun Wang:
Recurrent neural networks for nonlinear output regulation. Autom. 37(8): 1161-1173 (2001) - [j42]Donald L. Hung, Karl Hillesland, Jun Wang:
Architecture and design of a hardware accelerator for efficient 3D object recognition using the LC method. Inf. Sci. 131(1-4): 1-18 (2001) - [j41]Youshen Xia, Jun Wang:
Global asymptotic and exponential stability of a dynamic neural system with asymmetric connection weights. IEEE Trans. Autom. Control. 46(4): 635-638 (2001) - [j40]Ying Tan, Jun Wang:
Nonlinear blind source separation using higher order statistics and a genetic algorithm. IEEE Trans. Evol. Comput. 5(6): 600-612 (2001) - [j39]Ying Tan, Jun Wang, Jacek M. Zurada:
Nonlinear blind source separation using a radial basis function network. IEEE Trans. Neural Networks 12(1): 124-134 (2001) - [j38]Wai Sum Tang, Jun Wang:
A recurrent neural network for minimum infinity-norm kinematic control of redundant manipulators with an improved problem formulation and reduced architecture complexity. IEEE Trans. Syst. Man Cybern. Part B 31(1): 98-105 (2001) - [j37]Youshen Xia, Jun Wang:
A dual neural network for kinematic control of redundant robot manipulators. IEEE Trans. Syst. Man Cybern. Part B 31(1): 147-154 (2001) - [c17]Ying Tan, Jun Wang:
Nonlinear blind source separation using a genetic algorithm. CEC 2001: 859-866 - [c16]Wai Sum Tang, Cherry Miu Ling Lam, Jun Wang:
Kinematic Control and Obstacle Avoidance for Redundant Manipulators Using a Recurrent Neural Network. ICANN 2001: 922-929 - 2000
- [j36]Wai Sum Tang, Jun Wang:
A Discrete-Time Lagrangian Network for Solving Constrained Quadratic Programs. Int. J. Neural Syst. 10(4): 261-265 (2000) - [j35]Youshen Xia, Jun Wang:
A recurrent neural network for solving linear projection equations. Neural Networks 13(3): 337-350 (2000) - [j34]Sanqing Hu, Jun Wang:
On stabilization of a new class of linear time-invariant interval systems via constant state feedback control. IEEE Trans. Autom. Control. 45(11): 2106-2111 (2000) - [j33]Youshen Xia, Jun Wang:
A discrete-time recurrent neural network for shortest-path routing. IEEE Trans. Autom. Control. 45(11): 2129-2134 (2000) - [j32]Youshen Xia, Jun Wang:
Global exponential stability of recurrent neural networks for solving optimization and related problems. IEEE Trans. Neural Networks Learn. Syst. 11(4): 1017-1022 (2000) - [j31]Xue-Bin Liang, Jun Wang:
A recurrent neural network for nonlinear optimization with a continuously differentiable objective function and bound constraints. IEEE Trans. Neural Networks Learn. Syst. 11(6): 1251-1262 (2000) - [j30]Danchi Jiang, Jun Wang:
On-line learning of dynamical systems in the presence of model mismatch and disturbances. IEEE Trans. Neural Networks Learn. Syst. 11(6): 1272-1283 (2000) - [j29]Yuanqing Li, Jun Wang, Jacek M. Zurada:
Blind extraction of singularly mixed source signals. IEEE Trans. Neural Networks Learn. Syst. 11(6): 1413-1422 (2000) - [j28]Wai Sum Tang, Jun Wang:
Two recurrent neural networks for local joint torque optimization of kinematically redundant manipulators. IEEE Trans. Syst. Man Cybern. Part B 30(1): 120-128 (2000) - [j27]Xiaoli Li, Shiu Kit Tso, Jun Wang:
Real-time tool condition monitoring using wavelet transforms and fuzzy techniques. IEEE Trans. Syst. Man Cybern. Part C 30(3): 352-357 (2000) - [c15]Youshen Xia, Jun Wang:
Global asymptotic stability of a class of dynamic neural systems with asymmetric connection weights. CDC 2000: 870-871 - [c14]Ying Tan, Youshen Xia, Jun Wang:
Neural Network Realization of Support Vector Methods for Pattern Classification. IJCNN (6) 2000: 411-418 - [c13]Youshen Xia, Jun Wang:
A Recurrent Neural Network for Solving Nonlinear Projection Equations. IJCNN (6) 2000: 492-497 - [c12]Ying Tan, Jun Wang:
Nonlinear blind separation using an RBF network model. ISCAS 2000: 634-637
1990 – 1999
- 1999
- [j26]Danchi Jiang, Jun Wang:
A recurrent neural network for real-time semidefinite programming. IEEE Trans. Neural Networks 10(1): 81-93 (1999) - [j25]Jun Wang, Qingni Hu, Danchi Jiang:
A Lagrangian network for kinematic control of redundant robot manipulators. IEEE Trans. Neural Networks 10(5): 1123-1132 (1999) - [j24]Jun Wang:
A linear assignment clustering algorithm based on the least similar cluster representatives. IEEE Trans. Syst. Man Cybern. Part A 29(1): 100-104 (1999) - [j23]Han Ding, Jun Wang:
Recurrent neural networks for minimum infinity-norm kinematic control of redundant manipulators. IEEE Trans. Syst. Man Cybern. Part A 29(3): 269-276 (1999) - [c11]Youshen Xia, Jun Wang:
Primal neural networks for solving convex quadratic programs. IJCNN 1999: 582-587 - [c10]Jun Wang, Youshen Xia:
A dual neural network solving quadratic programming problems. IJCNN 1999: 588-593 - [c9]Wai Sum Tang, Jun Wang:
An improved neurocomputation scheme for minimum infinity-norm kinematic control of redundant manipulators. IJCNN 1999: 2005-2010 - 1998
- [j22]Youshen Xia, Jun Wang:
Neural networks for solving least absolute and related problems. Neurocomputing 19(1-3): 13-21 (1998) - [j21]Jun Wang, Zhenya He:
Blind Identification and Signal Separation of Two-Input Two-Output FIR Systems. Multidimens. Syst. Signal Process. 9(3): 307-320 (1998) - [j20]Jun Wang, Guang Wu:
A multilayer recurrent neural network for solving continuous-time algebraic Riccati equations. Neural Networks 11(5): 939-950 (1998) - [j19]Jun Wang, Youshen Xia:
Analysis and design of primal-dual assignment networks. IEEE Trans. Neural Networks 9(1): 183-194 (1998) - [j18]Youshen Xia, Jun Wang:
A general methodology for designing globally convergent optimization neural networks. IEEE Trans. Neural Networks 9(6): 1331-1343 (1998) - [j17]Jun Wang:
Primal and dual neural networks for shortest-path routing. IEEE Trans. Syst. Man Cybern. Part A 28(6): 864-869 (1998) - [c8]Donald L. Hung, Jun Wang:
A FPGA-Based Custom Computing System for Solving the Assignment Problem. FCCM 1998: 298-299 - [c7]Wai Sum Tang, Jun Wang:
A two-layer recurrent neural network for real-time control of redundant manipulators with torque minimization. SMC 1998: 1720-1725 - 1997
- [j16]Jun Wang:
Recurrent Neural Networks for Computing Pseudoinverses of Rank-Deficient Matrices. SIAM J. Sci. Comput. 18(5): 1479-1493 (1997) - [j15]Jun Wang:
Primal and dual assignment networks. IEEE Trans. Neural Networks 8(3): 784-790 (1997) - [c6]Jun Wang:
A dual neural network for shortest-path routing. ICNN 1997: 1295-1298 - 1996
- [j14]Jun Wang, Guang Wu:
A multilayer recurrent neural network for on-line synthesis of minimum-norm linear feedback control systems via pole assignment. Autom. 32(3): 435-442 (1996) - 1995
- [j13]Jun Wang, Behnam Malakooti:
Author's response. Neural Networks 8(4): 660- (1995) - [j12]Jun Wang:
Analysis and design of an analog sorting network. IEEE Trans. Neural Networks 6(4): 962-971 (1995) - [c5]Ce Zhu, Jun Wang, Taijun Wang:
Analysis of learning vector quantization algorithms for pattern classification. ICASSP 1995: 3471-3474 - [c4]Jun Wang, Ce Zhu, Chenwu Wu, Zhenya He:
Neural Network Approaches to fast and Low Rate Vector Quantization. ISCAS 1995: 486-489 - 1994
- [j11]Jun Wang:
A neural network approach to modeling fuzzy preference relations for multiple criteria decision making. Comput. Oper. Res. 21(9): 991-1000 (1994) - [j10]Jun Wang:
Artificial neural networks versus natural neural networks: A connectionist paradigm for preference assessment. Decis. Support Syst. 11(5): 415-429 (1994) - [j9]Jun Wang, Hua Li:
Solving Simultaneous Linear Equations Using Recurrent Neural Networks. Inf. Sci. 76(3-4): 255-277 (1994) - [j8]Jun Wang:
A Neural Network Approach to Multiple Criteria Decision Making Based on Fuzzy Preference Information. Inf. Sci. 78(3-4): 292-302 (1994) - [j7]Jun Wang:
A deterministic annealing neural network for convex programming. Neural Networks 7(4): 629-641 (1994) - [c3]Ce Zhu, Lihua Li, Zhenya He, Jun Wang:
A new competitive learning algorithm for vector quantization. ICASSP (2) 1994: 557-560 - [c2]Jun Wang, Guang Wu:
Recurrent Neural Networks for Synthesizing Linear Control Systems via Pole Placement. ICTAI 1994: 332-338 - [c1]Jun Wang:
A Recurrent Neural Network for Solving the Shortest Path Problem. ISCAS 1994: 319-322 - 1993
- [j6]Hua Li, Jun Wang:
Computing Optical Flow with A Recurrent Neural Network. Int. J. Pattern Recognit. Artif. Intell. 7(4): 801-814 (1993) - [j5]Jun Wang, Behnam Malakooti:
Characterization of training errors in supervised learning using gradient-based rules. Neural Networks 6(8): 1073-1087 (1993) - 1992
- [j4]Jun Wang, Behnam Malakooti:
A feedforward neural network for multiple criteria decision making. Comput. Oper. Res. 19(2): 151-167 (1992) - [j3]Jun Wang, Vira Chankong:
Recurrent neural networks for linear programming: Analysis and design principles. Comput. Oper. Res. 19(3-4): 297-311 (1992) - 1991
- [j2]Jun Wang:
On the asymptotic Properties of Recurrent Neural Networks for Optimization. Int. J. Pattern Recognit. Artif. Intell. 5(4): 581-602 (1991) - [j1]Jun Wang, Vira Chankong:
Neurally-inspired stochastic algorithm for determining multi-stage multi-attribute sampling inspection plans. J. Intell. Manuf. 2(5): 327-336 (1991)
Coauthor Index
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