Jun Wang
Orcid: 0000-0003-3422-104XAffiliations:
- Xihua University, School of Computer and Software Engineering, Chengdu, China
- Southwest Jiaotong University, Leshan, China (PhD 2006)
According to our database1,
Jun Wang
authored at least 140 papers
between 2005 and 2025.
Collaborative distances:
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Bibliography
2025
Model design and exponential state estimation for discrete-time delayed memristive spiking neural P systems.
Neural Networks, 2025
Expert Syst. Appl., 2025
Biomed. Signal Process. Control., 2025
2024
Seizure Detection of EEG Signals Based on Multi-Channel Long- and Short-Term Memory-Like Spiking Neural Model.
Int. J. Neural Syst., October, 2024
Multiple-in-Single-Out Object Detector Leveraging Spiking Neural Membrane Systems and Multiple Transformers.
Int. J. Neural Syst., July, 2024
Int. J. Neural Syst., June, 2024
Int. J. Neural Syst., May, 2024
IEEE Trans. Cybern., March, 2024
Feature fusion method based on spiking neural convolutional network for edge detection.
Pattern Recognit., March, 2024
Medium-long-term electricity load forecasting based on NSNP systems and attention mechanism.
J. Membr. Comput., March, 2024
Reservoir computing models based on spiking neural P systems for time series classification.
Neural Networks, January, 2024
Sequence recommendation using multi-level self-attention network with gated spiking neural P systems.
Inf. Sci., January, 2024
Multi-directional feature fusion super-resolution network based on nonlinear spiking neural P systems.
Signal Process., 2024
Multi-level feature interaction image super-resolution network based on convolutional nonlinear spiking neural model.
Neural Networks, 2024
Knowl. Based Syst., 2024
Knowl. Based Syst., 2024
Neurocomputing, 2024
Eng. Appl. Artif. Intell., 2024
A detection method based on nonlinear spiking neural systems for infrared small targets.
Digit. Signal Process., 2024
A semantic segmentation method integrated convolutional nonlinear spiking neural model with Transformer.
Comput. Vis. Image Underst., 2024
A reservoir computing model based on nonlinear spiking neural P systems for time series forecasting.
Appl. Soft Comput., 2024
Sentence-level sentiment classification based on multi-attention bidirectional gated spiking neural P systems.
Appl. Soft Comput., 2024
2023
Recurrent convolutional model based on gated spiking neural P system for stereo matching networks.
Appl. Intell., December, 2023
IEEE Trans. Neural Networks Learn. Syst., September, 2023
An Attention-Aware Long Short-Term Memory-Like Spiking Neural Model for Sentiment Analysis.
Int. J. Neural Syst., August, 2023
Expert Syst. Appl., July, 2023
SDDC-Net: A U-shaped deep spiking neural P convolutional network for retinal vessel segmentation.
Digit. Signal Process., May, 2023
Int. J. Neural Syst., January, 2023
Attention-enabled gated spiking neural P model for aspect-level sentiment classification.
Neural Networks, 2023
Int. J. Neural Syst., 2023
Multi-stages attention Breast cancer classification based on nonlinear spiking neural P neurons with autapses.
CoRR, 2023
CoRR, 2023
2022
Computational completeness of spiking neural P systems with inhibitory rules for generating string languages.
Theor. Comput. Sci., 2022
Theor. Comput. Sci., 2022
Multivariate time series forecasting method based on nonlinear spiking neural P systems and non-subsampled shearlet transform.
Neural Networks, 2022
Knowl. Based Syst., 2022
J. Membr. Comput., 2022
Supervisory control of discrete event systems under asynchronous spiking neuron P systems.
Inf. Sci., 2022
An unsupervised segmentation method based on dynamic threshold neural P systems for color images.
Inf. Sci., 2022
Int. J. Neural Syst., 2022
A novel edge detection method based on dynamic threshold neural P systems with orientation.
Digit. Signal Process., 2022
2021
Computational power of dynamic threshold neural P systems for generating string languages.
Theor. Comput. Sci., 2021
A novel fusion method based on dynamic threshold neural P systems and nonsubsampled contourlet transform for multi-modality medical images.
Signal Process., 2021
J. Membr. Comput., 2021
J. Membr. Comput., 2021
Reliability evaluation of distribution network based on fuzzy spiking neural P system with self-synapse.
J. Membr. Comput., 2021
Medical Image Fusion Method Based on Coupled Neural P Systems in Nonsubsampled Shearlet Transform Domain.
Int. J. Neural Syst., 2021
Computational completeness of sequential spiking neural P systems with inhibitory rules.
Inf. Comput., 2021
Comput. Vis. Image Underst., 2021
2020
Theor. Comput. Sci., 2020
Multi-focus image fusion based on dynamic threshold neural P systems and surfacelet transform.
Knowl. Based Syst., 2020
Neurocomputing, 2020
Fundam. Informaticae, 2020
A weighted corrective fuzzy reasoning spiking neural P system for fault diagnosis in power systems with variable topologies.
Eng. Appl. Artif. Intell., 2020
A Fault Diagnosis Method for Power Transmission Networks Based on Spiking Neural P Systems with Self-Updating Rules considering Biological Apoptosis Mechanism.
Complex., 2020
Comput. Informatics, 2020
IEEE Access, 2020
Proceedings of the Bio-Inspired Computing: Theories and Applications, 2020
2019
Int. J. Unconv. Comput., 2019
Interval-valued fuzzy spiking neural P systems for fault diagnosis of power transmission networks.
Eng. Appl. Artif. Intell., 2019
Cascading Failures Analysis Considering Extreme Virus Propagation of Cyber-Physical Systems in Smart Grids.
Complex., 2019
Modeling Fault Propagation Paths in Power Systems: A New Framework Based on Event SNP Systems With Neurotransmitter Concentration.
IEEE Access, 2019
A Novel Control Method to Improve Current Regulation and Harmonics in Navigation Dimming Power Supply.
IEEE Access, 2019
Smart Home Energy Management Optimization Method Considering Energy Storage and Electric Vehicle.
IEEE Access, 2019
Smoothing Photovoltaic Power Fluctuations for Cascade Hydro-PV-Pumped Storage Generation System Based on a Fuzzy CEEMDAN.
IEEE Access, 2019
2018
Fault Diagnosis of Power Systems Using Intuitionistic Fuzzy Spiking Neural P Systems.
IEEE Trans. Smart Grid, 2018
Int. J. Comput. Commun. Control, 2018
IEEE Access, 2018
Application of Neural-Like P Systems With State Values for Power Coordination of Photovoltaic/Battery Microgrids.
IEEE Access, 2018
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, 2018
Proceedings of the Membrane Computing, 2018
Proceedings of the Enjoying Natural Computing, 2018
2017
A hybrid approach based on tissue P systems and artificial bee colony for IIR system identification.
Neural Comput. Appl., 2017
Knowl. Based Syst., 2017
Integr. Comput. Aided Eng., 2017
Proceedings of the 13th International Conference on Natural Computation, 2017
Distributed Fuzzy P Systems with Promoters and Their Application in Power Balance of Multi-microgrids.
Proceedings of the Bio-inspired Computing: Theories and Applications, 2017
An Improved Spiking Neural P Systems with Anti-Spikes for Fault Location of Distribution Networks with Distributed Generation.
Proceedings of the Bio-inspired Computing: Theories and Applications, 2017
2016
An Extended Membrane System with Active Membranes to Solve Automatic Fuzzy Clustering Problems.
Int. J. Neural Syst., 2016
Proceedings of the Bio-inspired Computing - Theories and Applications, 2016
Proceedings of the Bio-inspired Computing - Theories and Applications, 2016
Proceedings of the Bio-inspired Computing - Theories and Applications, 2016
2015
Pattern Recognit. Lett., 2015
DSP-Based Control of Tri-State Boost PFC Converter with High Input Power Factor for Wide Range of Load Variations.
J. Circuits Syst. Comput., 2015
An Approximate Algorithm Combining P Systems and Active Evolutionary Algorithms for Traveling Salesman Problems.
Int. J. Comput. Commun. Control, 2015
Digit. Signal Process., 2015
Proceedings of the Bio-Inspired Computing - Theories and Applications, 2015
Proceedings of the Bio-Inspired Computing - Theories and Applications, 2015
2014
Signal Process., 2014
Proceedings of the Bio-Inspired Computing - Theories and Applications, 2014
An Improved Particle Swarm Optimization and Its Application for Micro-grid Economic Operation Optimization.
Proceedings of the Bio-Inspired Computing - Theories and Applications, 2014
Proceedings of the Bio-Inspired Computing - Theories and Applications, 2014
2013
Audio watermarking scheme robust against desynchronization attacks based on kernel clustering.
Multim. Tools Appl., 2013
J. Intell. Fuzzy Syst., 2013
Int. J. Comput. Math., 2013
A learning-based audio watermarking scheme using kernel Fisher discriminant analysis.
Digit. Signal Process., 2013
2012
Novel LMI-based stability and stabilization analysis on impulsive switched system with time delays.
J. Frankl. Inst., 2012
2011
Inf. Sci., 2011
Ann. des Télécommunications, 2011
2010
J. Syst. Softw., 2010
Proceedings of the Sixth International Conference on Natural Computation, 2010
Proceedings of the Sixth International Conference on Natural Computation, 2010
Proceedings of the Fifth International Conference on Bio-Inspired Computing: Theories and Applications, 2010
Proceedings of the Fifth International Conference on Bio-Inspired Computing: Theories and Applications, 2010
2009
Proceedings of the Fuzzy Logic and Applications, 8th International Workshop, 2009
An Adaptive Audio Watermarking Method Based on Local Audio Feature and Support Vector Regression.
Proceedings of the 10th ACIS International Conference on Software Engineering, 2009
2008
Small molecular and polymer organic light-emitting diodes based on novel iridium complex phosphor.
Displays, 2008
Proceedings of the PACIIA 2008, 2008
A Color Image Watermarking Scheme in Wavelet Domain Based on Support Vector Machines.
Proceedings of the PACIIA 2008, 2008
A Novel Blind Image Watermarking Scheme Based on Support Vector Machine in DCT Domain.
Proceedings of the 2008 International Conference on Computational Intelligence and Security, 2008
2006
Proceedings of the Advances in Neural Networks - ISNN 2006, Third International Symposium on Neural Networks, Chengdu, China, May 28, 2006
Nonlinear System Identification Using Multi-resolution Reproducing Kernel Based Support Vector Regression.
Proceedings of the Advances in Neural Networks - ISNN 2006, Third International Symposium on Neural Networks, Chengdu, China, May 28, 2006
Proceedings of the Sixth International Conference on Intelligent Systems Design and Applications (ISDA 2006), 2006
Support Vector Regression Based on Scaling Reproducing Kernel for Black-Box System Identification.
Proceedings of the Sixth International Conference on Intelligent Systems Design and Applications (ISDA 2006), 2006
2005
Proceedings of the Advances in Neural Networks - ISNN 2005, Second International Symposium on Neural Networks, Chongqing, China, May 30, 2005
Proceedings of the AI 2005: Advances in Artificial Intelligence, 2005