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Jun Wang 0013
Person information

- affiliation: Xihua University, School of Computer and Software Engineering, Chengdu, China
- affiliation (PhD 2006): Southwest Jiaotong University, Leshan, China
Other persons with the same name
- Jun Wang — disambiguation page
- Jun Wang 0001
— University of Central Florida, Department of Electrical Engineering and Computer Science, Orlando, FL, USA (and 2 more)
- Jun Wang 0002
— City University of Hong Kong, Department of Computer Science (and 2 more)
- Jun Wang 0003 — Tsinghua University, Department of Electronic Engineering, Beijing, China
- Jun Wang 0004 — Beijing Genomics Institutem, China
- 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, UK (and 1 more)
- Jun Wang 0014 — Huazhong University of Science and Technology, China (and 1 more)
- Jun Wang 0015 — Waseda University, Shinjuku, Tokyo, Japan
- 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, Image Processing and Image Communications Key Lab, China
- 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, 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
— University of Chinese Academy of Sciences, School of Economics and Management, Beijing, China
- 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
— University of Maryland, College Park, MD, USA
- 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, 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
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2020 – today
- 2024
- [j86]Xinzhu Bai, Yanping Huang, Hong Peng, Jun Wang, Qian Yang, David Orellana-Martín, Antonio Ramírez-de-Arellano, Mario J. Pérez-Jiménez:
Sequence recommendation using multi-level self-attention network with gated spiking neural P systems. Inf. Sci. 656: 119916 (2024) - 2023
- [j85]Bo Yang, Lang Qin, Hong Peng, Chenggang Guo
, Xiaohui Luo, Jun Wang:
SDDC-Net: A U-shaped deep spiking neural P convolutional network for retinal vessel segmentation. Digit. Signal Process. 136: 104002 (2023) - [j84]Yanping Huang
, Qian Liu, Hong Peng
, Jun Wang, Qian Yang, David Orellana-Martín
:
Sentiment classification using bidirectional LSTM-SNP model and attention mechanism. Expert Syst. Appl. 221: 119730 (2023) - [j83]Ronghao Xian, Rikong Lugu, Hong Peng, Qian Yang, Xiaohui Luo, Jun Wang:
Edge Detection Method Based on Nonlinear Spiking Neural Systems. Int. J. Neural Syst. 33(1): 2250060:1-2250060:14 (2023) - [j82]Yujie Zhang, Qian Yang, Zhicai Liu, Hong Peng, Jun Wang:
A Prediction Model Based on Gated Nonlinear Spiking Neural Systems. Int. J. Neural Syst. 33(6): 2350029:1-2350029:15 (2023) - [j81]Qian Liu, Yanping Huang, Qian Yang, Hong Peng, Jun Wang:
An Attention-Aware Long Short-Term Memory-Like Spiking Neural Model for Sentiment Analysis. Int. J. Neural Syst. 33(8): 2350037:1-2350037:11 (2023) - [j80]Yanping Huang, Hong Peng
, Qian Liu, Qian Yang, Jun Wang, David Orellana-Martín, Mario J. Pérez-Jiménez:
Attention-enabled gated spiking neural P model for aspect-level sentiment classification. Neural Networks 157: 437-443 (2023) - [j79]Qian Yang, Xin Xiong, Hong Peng
, Jun Wang, Xiaoxiao Song:
Nonlinear spiking neural P systems with multiple channels. Theor. Comput. Sci. 965: 113979 (2023) - [j78]Qian Liu, Lifan Long, Hong Peng
, Jun Wang
, Qian Yang, Xiaoxiao Song, Agustín Riscos-Núñez
, Mario J. Pérez-Jiménez
:
Gated Spiking Neural P Systems for Time Series Forecasting. IEEE Trans. Neural Networks Learn. Syst. 34(9): 6227-6236 (2023) - 2022
- [j77]Jiahao Yan, Li Zhang, Xiaohui Luo
, Hong Peng
, Jun Wang:
A novel edge detection method based on dynamic threshold neural P systems with orientation. Digit. Signal Process. 127: 103526 (2022) - [j76]Lifan Long, Qian Liu, Hong Peng, Qian Yang, Xiaohui Luo, Jun Wang, Xiaoxiao Song:
A Time Series Forecasting Approach Based on Nonlinear Spiking Neural Systems. Int. J. Neural Syst. 32(8): 2250020:1-2250020:13 (2022) - [j75]Yulong Cai, Siheng Mi, Jiahao Yan, Hong Peng, Xiaohui Luo, Qian Yang, Jun Wang:
An unsupervised segmentation method based on dynamic threshold neural P systems for color images. Inf. Sci. 587: 473-484 (2022) - [j74]Xiaoliang Chen
, Hong Peng, Jun Wang, Fei Hao
:
Supervisory control of discrete event systems under asynchronous spiking neuron P systems. Inf. Sci. 597: 253-273 (2022) - [j73]Shuwei Zhao, Li Zhang, Zhicai Liu, Hong Peng
, Jun Wang:
ConvSNP: a deep learning model embedded with SNP-like neurons. J. Membr. Comput. 4(1): 87-95 (2022) - [j72]Qian Liu, Lifan Long, Qian Yang, Hong Peng
, Jun Wang, Xiaohui Luo:
LSTM-SNP: A long short-term memory model inspired from spiking neural P systems. Knowl. Based Syst. 235: 107656 (2022) - [j71]Lifan Long, Rikong Lugu, Xin Xiong, Qian Liu, Hong Peng
, Jun Wang, David Orellana-Martín
, Mario J. Pérez-Jiménez
:
Echo spiking neural P systems. Knowl. Based Syst. 253: 109568 (2022) - [j70]Lifan Long, Qian Liu, Hong Peng
, Jun Wang, Qian Yang:
Multivariate time series forecasting method based on nonlinear spiking neural P systems and non-subsampled shearlet transform. Neural Networks 152: 300-310 (2022) - [j69]Nan Zhou, Hong Peng
, Jun Wang, Qian Yang, Xiaohui Luo:
Computational completeness of spiking neural P systems with inhibitory rules for generating string languages. Theor. Comput. Sci. 920: 64-75 (2022) - [j68]Silu Yang, Dong Li, Hong Peng, Wenjie Zhou, Xiaohui Luo, Qian Yang, Jun Wang, Xiaoxiao Song:
Dynamic threshold P systems with delay on synapses for shortest path problems. Theor. Comput. Sci. 926: 62-70 (2022) - 2021
- [j67]Hong Peng
, Bo Li, Qian Yang, Jun Wang:
Multi-focus image fusion approach based on CNP systems in NSCT domain. Comput. Vis. Image Underst. 210: 103228 (2021) - [j66]Tingting Bao, Nan Zhou, Hong Peng, Qian Yang, Jun Wang:
Computational completeness of sequential spiking neural P systems with inhibitory rules. Inf. Comput. 281: 104786 (2021) - [j65]Nan Zhou, Qian Yang, Hong Peng, Jun Wang, Xiaohui Luo:
Nonlinear neural P systems for generating string languages. Inf. Comput. 281: 104789 (2021) - [j64]Xiaoxiao Song, Luis Valencia-Cabrera
, Hong Peng, Jun Wang, Mario J. Pérez-Jiménez:
Spiking Neural P Systems with Delay on Synapses. Int. J. Neural Syst. 31(1): 2050042:1-2050042:19 (2021) - [j63]Bo Li, Hong Peng, Xiaohui Luo, Jun Wang, Xiaoxiao Song, Mario J. Pérez-Jiménez, Agustín Riscos-Núñez
:
Medical Image Fusion Method Based on Coupled Neural P Systems in Nonsubsampled Shearlet Transform Domain. Int. J. Neural Syst. 31(1): 2050050:1-2050050:17 (2021) - [j62]Xiaoxiao Song, Luis Valencia-Cabrera
, Hong Peng, Jun Wang:
Spiking neural P systems with autapses. Inf. Sci. 570: 383-402 (2021) - [j61]Yu-Lei Huang, Tao Wang, Jun Wang, Hong Peng:
Reliability evaluation of distribution network based on fuzzy spiking neural P system with self-synapse. J. Membr. Comput. 3(1): 51-62 (2021) - [j60]Zeqiong Lv, Qian Yang, Hong Peng
, Xiaoxiao Song, Jun Wang:
Computational power of sequential spiking neural P systems with multiple channels. J. Membr. Comput. 3(4): 270-283 (2021) - [j59]Siheng Mi, Li Zhang, Hong Peng
, Jun Wang:
Medical image fusion based on DTNP systems and Laplacian pyramid. J. Membr. Comput. 3(4): 284-295 (2021) - [j58]Bo Li, Hong Peng, Jun Wang:
A novel fusion method based on dynamic threshold neural P systems and nonsubsampled contourlet transform for multi-modality medical images. Signal Process. 178: 107793 (2021) - [j57]Yue Huang, Wenmei Yi, Hong Peng, Jun Wang, Xiaohui Luo, Qian Yang:
Computational power of dynamic threshold neural P systems for generating string languages. Theor. Comput. Sci. 851: 77-91 (2021) - [j56]Tingting Bao, Qian Yang, Hong Peng, Xiaohui Luo, Jun Wang, Xiaoxiao Song:
Computational power of sequential dendrite P systems. Theor. Comput. Sci. 893: 133-145 (2021) - 2020
- [j55]Jinyu Yang, Hong Peng
, Xiaohui Luo, Jun Wang:
Stochastic Numerical P Systems With Application in Data Clustering Problems. IEEE Access 8: 31507-31518 (2020) - [j54]Wenmei Yi, Zeqiong Lv, Hong Peng, Xiaoxiao Song, Jun Wang:
Asynchronous Spiking Neural P Systems with Multiple Channels and Symbols. Comput. Informatics 39(5): 925-951 (2020) - [j53]Wei Liu, Tao Wang
, Tianlei Zang
, Zhu Huang, Jun Wang, Tao Huang
, Xiaoguang Wei
, Chuan Li:
A Fault Diagnosis Method for Power Transmission Networks Based on Spiking Neural P Systems with Self-Updating Rules considering Biological Apoptosis Mechanism. Complex. 2020: 2462647:1-2462647:18 (2020) - [j52]Tao Wang, Xiaoguang Wei, Jun Wang, Tao Huang
, Hong Peng, Xiaoxiao Song, Luis Valencia-Cabrera
, Mario J. Pérez-Jiménez:
A weighted corrective fuzzy reasoning spiking neural P system for fault diagnosis in power systems with variable topologies. Eng. Appl. Artif. Intell. 92: 103680 (2020) - [j51]Liucheng Liu, Wenmei Yi, Qian Yang, Hong Peng, Jun Wang:
Small Universal Numerical P Systems with Thresholds for Computing Functions. Fundam. Informaticae 176(1): 43-59 (2020) - [j50]Hong Peng, Zeqiong Lv, Bo Li, Xiaohui Luo, Jun Wang, Xiaoxiao Song, Tao Wang, Mario J. Pérez-Jiménez, Agustín Riscos-Núñez
:
Nonlinear Spiking Neural P Systems. Int. J. Neural Syst. 30(10): 2050008:1-2050008:17 (2020) - [j49]Xiaoxiao Song, Hong Peng
, Jun Wang
, Guimin Ning, Zhang Sun:
Small universal asynchronous spiking neural P systems with multiple channels. Neurocomputing 378: 1-8 (2020) - [j48]Zeqiong Lv, Jiangheng Kou, Wenmei Yi, Hong Peng, Xioxiao Song, Jun Wang:
Sequential Coupled Neural P Systems. Int. J. Unconv. Comput. 15(3): 157-191 (2020) - [j47]Tingting Bao, Nan Zhou, Zeqiong Lv, Hong Peng
, Jun Wang:
Sequential dynamic threshold neural P systems. J. Membr. Comput. 2(4): 255-268 (2020) - [j46]Hong Peng, Bo Li, Jun Wang, Xiaoxiao Song, Tao Wang, Luis Valencia-Cabrera
, Ignacio Pérez-Hurtado
, Agustín Riscos-Núñez
, Mario J. Pérez-Jiménez:
Spiking neural P systems with inhibitory rules. Knowl. Based Syst. 188 (2020) - [j45]Bo Li, Hong Peng, Jun Wang, Xiangnian Huang:
Multi-focus image fusion based on dynamic threshold neural P systems and surfacelet transform. Knowl. Based Syst. 196: 105794 (2020) - [j44]Hong Peng
, Tingting Bao, Xiaohui Luo, Jun Wang, Xiaoxiao Song, Agustín Riscos-Núñez
, Mario J. Pérez-Jiménez:
Dendrite P systems. Neural Networks 127: 110-120 (2020) - [j43]Qian Yang, Bo Li, Yue Huang, Hong Peng, Jun Wang:
Spiking neural P systems with structural plasticity and anti-spikes. Theor. Comput. Sci. 801: 143-156 (2020) - [j42]Juan Hu
, Hong Peng, Jun Wang, Wenping Yu:
kNN-P: A kNN classifier optimized by P systems. Theor. Comput. Sci. 817: 55-65 (2020) - [c29]Juan Hu, Zhiliang Chen, Liping Shi, Jiao He, Hong Peng, Jun Wang:
An Editable k-Nearest Neighbor Classifier Based on Tissue-Like P Systems. BIC-TA 2020: 596-610
2010 – 2019
- 2019
- [j41]Tao Wang
, Xiaoguang Wei
, Tao Huang
, Jun Wang
, Hong Peng, Mario J. Pérez-Jiménez, Luis Valencia-Cabrera
:
Modeling Fault Propagation Paths in Power Systems: A New Framework Based on Event SNP Systems With Neurotransmitter Concentration. IEEE Access 7: 12798-12808 (2019) - [j40]Xuan Hou, Jun Wang
, Tao Huang
, Tao Wang
, Peng Wang:
Smart Home Energy Management Optimization Method Considering Energy Storage and Electric Vehicle. IEEE Access 7: 144010-144020 (2019) - [j39]Lei Chen
, Jun Wang, Zhang Sun
, Tao Huang
, Fan Wu
:
Smoothing Photovoltaic Power Fluctuations for Cascade Hydro-PV-Pumped Storage Generation System Based on a Fuzzy CEEMDAN. IEEE Access 7: 172718-172727 (2019) - [j38]Zhang Sun
, Fan Wu
, Weidong Jin
, Jun Wang, Yunpu Wu
, Xunbing Wu
, Zhongjun Wei:
A Novel Control Method to Improve Current Regulation and Harmonics in Navigation Dimming Power Supply. IEEE Access 7: 186268-186283 (2019) - [j37]Qian Yang, Zeqiong Lv, Liucheng Liu, Hong Peng, Xiaoxiao Song, Jun Wang:
Spiking neural P systems with multiple channels and polarizations. Biosyst. 185 (2019) - [j36]Tao Wang
, Xiaoguang Wei
, Tao Huang
, Jun Wang, Luis Valencia-Cabrera
, Zhen-Nan Fan
, Mario J. Pérez-Jiménez:
Cascading Failures Analysis Considering Extreme Virus Propagation of Cyber-Physical Systems in Smart Grids. Complex. 2019: 7428458:1-7428458:15 (2019) - [j35]Jun Wang, Hong Peng, Wenping Yu, Jun Ming, Mario J. Pérez-Jiménez, Chengyu Tao, Xiangnian Huang:
Interval-valued fuzzy spiking neural P systems for fault diagnosis of power transmission networks. Eng. Appl. Artif. Intell. 82: 102-109 (2019) - [j34]Yue Huang, Bo Li, Zeqiong Lv, Wenmei Yi, Hong Peng, Xiaoxiao Song, Jun Wang:
On String Languages Generated by Spiking Neural P Systems with Multiple Channels. Int. J. Unconv. Comput. 14(3-4): 243-266 (2019) - [j33]Hong Peng, Jun Wang, Mario J. Pérez-Jiménez, Agustín Riscos-Núñez
:
Dynamic threshold neural P systems. Knowl. Based Syst. 163: 875-884 (2019) - [j32]Liucheng Liu, Wenmei Yi, Qian Yang, Hong Peng, Jun Wang:
Numerical P systems with Boolean condition. Theor. Comput. Sci. 785: 140-149 (2019) - [j31]Hong Peng
, Jun Wang
:
Coupled Neural P Systems. IEEE Trans. Neural Networks Learn. Syst. 30(6): 1672-1682 (2019) - 2018
- [j30]Zhen-Nan Fan
, Li Han, Yong Liao, Li-Dan Xie, Kun Wen, Jun Wang, Xiu-Cheng Dong, Bing Yao:
Effect of Damper Winding and Stator Slot Skewing Structure on No-Load Voltage Waveform Distortion and Damper Bar Heat in Large Tubular Hydro Generator. IEEE Access 6: 22281-22291 (2018) - [j29]Tao Wang, Jun Wang, Jun Ming, Zhang Sun, Chuanxiang Wei, Chun Lu, Mario J. Pérez-Jiménez:
Application of Neural-Like P Systems With State Values for Power Coordination of Photovoltaic/Battery Microgrids. IEEE Access 6: 46630-46642 (2018) - [j28]Guang-Hou Zhou, Li Han, Zhen-Nan Fan
, Hai-Bo Zhang, Xiu-Cheng Dong, Jun Wang, Zhang Sun, Bi-de Zhang:
Ventilation Cooling Design for a Novel 350-MW Air-Cooled Turbo Generator. IEEE Access 6: 62184-62192 (2018) - [j27]Xiaoxiao Song, Jun Wang, Hong Peng, Guimin Ning, Zhang Sun, Tao Wang, Fan Yang:
Spiking neural P systems with multiple channels and anti-spikes. Biosyst. 169-170: 13-19 (2018) - [j26]Guangchun Chen, Juan Hu, Hong Peng, Jun Wang, Xiangnian Huang:
A Spectral Clustering Algorithm Improved by P Systems. Int. J. Comput. Commun. Control 13(5): 759-771 (2018) - [j25]Hong Peng
, Jun Wang, Jun Ming, Peng Shi
, Mario J. Pérez-Jiménez, Wenping Yu, Chengyu Tao:
Fault Diagnosis of Power Systems Using Intuitionistic Fuzzy Spiking Neural P Systems. IEEE Trans. Smart Grid 9(5): 4777-4784 (2018) - [c28]Jinyu Yang, Ru Chen, Guozhou Zhang, Hong Peng, Jun Wang, Agustín Riscos-Núñez
:
A Kernel-Based Membrane Clustering Algorithm. Enjoying Natural Computing 2018: 318-329 - [c27]Xiaoxiao Song, Hong Peng, Jun Wang, Guimin Ning, Tao Wang, Zhang Sun, Yankun Xia:
On Small Universality of Spiking Neural P Systems with Multiple Channels. Int. Conf. on Membrane Computing 2018: 229-245 - 2017
- [j24]Hong Peng, Jun Wang, Peng Shi
, Mario J. Pérez-Jiménez, Agustin Riscos-Núñez
:
Fault diagnosis of power systems using fuzzy tissue-like P systems. Integr. Comput. Aided Eng. 24(4): 401-411 (2017) - [j23]Hong Peng, Peng Shi
, Jun Wang, Agustin Riscos-Núñez
, Mario J. Pérez-Jiménez:
Multiobjective fuzzy clustering approach based on tissue-like membrane systems. Knowl. Based Syst. 125: 74-82 (2017) - [j22]Hong Peng, Jun Wang:
A hybrid approach based on tissue P systems and artificial bee colony for IIR system identification. Neural Comput. Appl. 28(9): 2675-2685 (2017) - [j21]Hong Peng, Jinyu Yang, Jun Wang, Tao Wang, Zhang Sun, Xiaoxiao Song, Xiaohui Luo, Xiangnian Huang:
Spiking neural P systems with multiple channels. Neural Networks 95: 66-71 (2017) - [c26]Wenping Yu, Jun Wang, Tao Wang, Yanxiang Yang:
Distributed Fuzzy P Systems with Promoters and Their Application in Power Balance of Multi-microgrids. BIC-TA 2017: 329-342 - [c25]Chengyu Tao, Jun Wang, Tao Wang, Yanxiang Yang:
An Improved Spiking Neural P Systems with Anti-Spikes for Fault Location of Distribution Networks with Distributed Generation. BIC-TA 2017: 380-395 - [c24]Juan Hu
, Guangchun Chen, Hong Peng, Jun Wang, Xiangnian Huang, Xiaohui Luo:
A kNN classifier optimized by P systems. ICNC-FSKD 2017: 432-437 - 2016
- [j20]Hong Peng, Jun Wang, Peng Shi
, Mario J. Pérez-Jiménez
, Agustin Riscos-Núñez
:
An Extended Membrane System with Active Membranes to Solve Automatic Fuzzy Clustering Problems. Int. J. Neural Syst. 26(3): 1650004:1-1650004:17 (2016) - [j19]Jun Wang, Peng Shi
, Hong Peng:
Membrane computing model for IIR filter design. Inf. Sci. 329: 164-176 (2016) - [c23]Juan Hu
, Guangchun Chen, Hong Peng, Jun Wang, Xiangnian Huang, Xiaohui Luo:
Matrix Representation of Parallel Computation for Spiking Neural P Systems. BIC-TA (1) 2016: 187-199 - [c22]Yunying Yang, Jun Ming, Jun Wang, Hong Peng, Zhang Sun, Wenping Yu:
The Implementation of Membrane Clustering Algorithm Based on FPGA. BIC-TA (1) 2016: 237-248 - [c21]Chengyu Tao, Wenping Yu, Jun Wang, Hong Peng, Ke Chen, Jun Ming:
Fault Diagnosis of Power Systems Based on Triangular Fuzzy Spiking Neural P Systems. BIC-TA (1) 2016: 385-398 - 2015
- [j18]Hong Peng
, Jun Wang, Mario J. Pérez-Jiménez
:
Optimal multi-level thresholding with membrane computing. Digit. Signal Process. 37: 53-64 (2015) - [j17]Xiaoxiao Song, Jun Wang:
An Approximate Algorithm Combining P Systems and Active Evolutionary Algorithms for Traveling Salesman Problems. Int. J. Comput. Commun. Control 10(1): 89-99 (2015) - [j16]Hong Peng, Jun Wang, Mario J. Pérez-Jiménez
, Agustin Riscos-Núñez
:
An unsupervised learning algorithm for membrane computing. Inf. Sci. 304: 80-91 (2015) - [j15]Taiqiang Cao, Fang You, Fei Zhang, Ping Yang, Qian Luo, Jun Wang:
DSP-Based Control of Tri-State Boost PFC Converter with High Input Power Factor for Wide Range of Load Variations. J. Circuits Syst. Comput. 24(5): 1550072:1-1550072:19 (2015) - [j14]Hong Peng
, Jun Wang, Peng Shi
, Agustin Riscos-Núñez
, Mario J. Pérez-Jiménez
:
An automatic clustering algorithm inspired by membrane computing. Pattern Recognit. Lett. 68: 34-40 (2015) - [c20]Ke Chen, Jun Wang, Ming Li, Jun Ming, Hong Peng:
Cell-Like Fuzzy P System and Its Application of Coordination Control in Micro-grid. BIC-TA 2015: 18-32 - [c19]Jie Jin, Hui Liu, Fengjuan Wang, Hong Peng, Jun Wang:
Parallel Implementation of P Systems for Data Clustering on GPU. BIC-TA 2015: 200-211 - 2014
- [j13]Taiqiang Cao, Zhangyong Chen, Jun Wang, Zhang Sun, Qian Luo, Fei Zhang:
Study on a Novel High-Efficiency Bridgeless PFC Converter. J. Appl. Math. 2014: 514281:1-514281:8 (2014) - [j12]Hong Peng
, Jun Wang, Mario J. Pérez-Jiménez
, Agustin Riscos-Núñez
:
The framework of P systems applied to solve optimal watermarking problem. Signal Process. 101: 256-265 (2014) - [c18]Ke Chen, Jun Wang, Zhang Sun, Juan Luo, Tao Liu:
The Application of Spiking Neural P Systems for PLC Programming. BIC-TA 2014: 11-15 - [c17]Tao Liu, Jun Wang, Zhang Sun, Juan Luo, Tingting He, Ke Chen:
An Improved Particle Swarm Optimization and Its Application for Micro-grid Economic Operation Optimization. BIC-TA 2014: 276-280 - [c16]Xiaoxiao Song, Jun Wang:
A Membrane-Inspired Evolutionary Algorithm Based on Artificial Bee Colony Algorithm. BIC-TA 2014: 395-410 - 2013
- [j11]Hong Peng, Bing Li, Xiaohui Luo, Jun Wang, Zulin Zhang:
A learning-based audio watermarking scheme using kernel Fisher discriminant analysis. Digit. Signal Process. 23(1): 382-389 (2013) - [j10]Jun Wang, Hong Peng:
Adaptive fuzzy spiking neural P systems for fuzzy inference and learning. Int. J. Comput. Math. 90(4): 857-868 (2013) - [j9]Hong Peng, Jun Wang, Mario J. Pérez-Jiménez
, Hao Wang, Jie Shao, Tao Wang:
Fuzzy reasoning spiking neural P system for fault diagnosis. Inf. Sci. 235: 106-116 (2013) - [j8]Hong Peng, Jun Wang, Mario J. Pérez-Jiménez
, Peng Shi:
A novel image thresholding method based on membrane computing and fuzzy entropy. J. Intell. Fuzzy Syst. 24(2): 229-237 (2013) - [j7]Hong Peng, Jun Wang, Zulin Zhang:
Audio watermarking scheme robust against desynchronization attacks based on kernel clustering. Multim. Tools Appl. 62(3): 681-699 (2013) - [j6]Jun Wang, Peng Shi, Hong Peng, Mario J. Pérez-Jiménez
, Tao Wang:
Weighted Fuzzy Spiking Neural P Systems. IEEE Trans. Fuzzy Syst. 21(2): 209-220 (2013) - 2012
- [j5]Bo Wang, Peng Shi, Jun Wang, Yongduan Song:
Novel LMI-based stability and stabilization analysis on impulsive switched system with time delays. J. Frankl. Inst. 349(8): 2650-2663 (2012) - 2011
- [j4]Hong Peng, Jun Wang:
Optimal audio watermarking scheme using genetic optimization. Ann. des Télécommunications 66(5-6): 307-318 (2011) - [j3]Jun Wang, Hong Peng, Peng Shi:
An optimal image watermarking approach based on a multi-objective genetic algorithm. Inf. Sci. 181(24): 5501-5514 (2011) - 2010
- [j2]Hong Peng, Jun Wang, Weixing Wang:
Image watermarking method in multiwavelet domain based on support vector machines. J. Syst. Softw. 83(8): 1470-1477 (2010) - [c15]Tao Wang, Jun Wang, Hong Peng, Yanli Deng:
Knowledge representation using fuzzy spiking neural P system. BIC-TA 2010: 586-590 - [c14]Hong Peng, Jun Wang, Gexiang Zhang
, Marian Gheorghe:
Timed spiking neural P systems. BIC-TA 2010: 591-595 - [c13]