Jun Wang

Orcid: 0000-0003-3422-104X

Affiliations:
  • 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 122 papers between 2005 and 2024.

Collaborative distances:

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
A Parallel Convolutional Network Based on Spiking Neural Systems.
Int. J. Neural Syst., May, 2024

Nonlinear Spiking Neural Systems With Autapses for Predicting Chaotic Time Series.
IEEE Trans. Cybern., March, 2024

Feature fusion method based on spiking neural convolutional network for edge detection.
Pattern Recognit., 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

2023
Recurrent convolutional model based on gated spiking neural P system for stereo matching networks.
Appl. Intell., December, 2023

Gated Spiking Neural P Systems for Time Series Forecasting.
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

Sentiment classification using bidirectional LSTM-SNP model and attention mechanism.
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

Edge Detection Method Based on Nonlinear Spiking Neural Systems.
Int. J. Neural Syst., January, 2023

Nonlinear spiking neural P systems with multiple channels.
Theor. Comput. Sci., 2023

Attention-enabled gated spiking neural P model for aspect-level sentiment classification.
Neural Networks, 2023

A Prediction Model Based on Gated Nonlinear Spiking Neural Systems.
Int. J. Neural Syst., 2023

Multi-stages attention Breast cancer classification based on nonlinear spiking neural P neurons with autapses.
CoRR, 2023

SLP-Net: An efficient lightweight network for segmentation of skin lesions.
CoRR, 2023

2022
Computational completeness of spiking neural P systems with inhibitory rules for generating string languages.
Theor. Comput. Sci., 2022

Dynamic threshold P systems with delay on synapses for shortest path problems.
Theor. Comput. Sci., 2022

Multivariate time series forecasting method based on nonlinear spiking neural P systems and non-subsampled shearlet transform.
Neural Networks, 2022

Echo spiking neural P systems.
Knowl. Based Syst., 2022

LSTM-SNP: A long short-term memory model inspired from spiking neural P systems.
Knowl. Based Syst., 2022

ConvSNP: a deep learning model embedded with SNP-like neurons.
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

A Time Series Forecasting Approach Based on Nonlinear Spiking Neural Systems.
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

Computational power of sequential dendrite P systems.
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

Medical image fusion based on DTNP systems and Laplacian pyramid.
J. Membr. Comput., 2021

Computational power of sequential spiking neural P systems with multiple channels.
J. Membr. Comput., 2021

Reliability evaluation of distribution network based on fuzzy spiking neural P system with self-synapse.
J. Membr. Comput., 2021

Spiking neural P systems with autapses.
Inf. Sci., 2021

Spiking Neural P Systems with Delay on Synapses.
Int. J. Neural Syst., 2021

Medical Image Fusion Method Based on Coupled Neural P Systems in Nonsubsampled Shearlet Transform Domain.
Int. J. Neural Syst., 2021

Nonlinear neural P systems for generating string languages.
Inf. Comput., 2021

Computational completeness of sequential spiking neural P systems with inhibitory rules.
Inf. Comput., 2021

Multi-focus image fusion approach based on CNP systems in NSCT domain.
Comput. Vis. Image Underst., 2021

2020
Spiking neural P systems with structural plasticity and anti-spikes.
Theor. Comput. Sci., 2020

kNN-P: A kNN classifier optimized by P systems.
Theor. Comput. Sci., 2020

Dendrite P systems.
Neural Networks, 2020

Spiking neural P systems with inhibitory rules.
Knowl. Based Syst., 2020

Multi-focus image fusion based on dynamic threshold neural P systems and surfacelet transform.
Knowl. Based Syst., 2020

Sequential dynamic threshold neural P systems.
J. Membr. Comput., 2020

Sequential Coupled Neural P Systems.
Int. J. Unconv. Comput., 2020

Small universal asynchronous spiking neural P systems with multiple channels.
Neurocomputing, 2020

Nonlinear Spiking Neural P Systems.
Int. J. Neural Syst., 2020

Small Universal Numerical P Systems with Thresholds for Computing Functions.
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

Asynchronous Spiking Neural P Systems with Multiple Channels and Symbols.
Comput. Informatics, 2020

Stochastic Numerical P Systems With Application in Data Clustering Problems.
IEEE Access, 2020

An Editable k-Nearest Neighbor Classifier Based on Tissue-Like P Systems.
Proceedings of the Bio-Inspired Computing: Theories and Applications, 2020

2019
Coupled Neural P Systems.
IEEE Trans. Neural Networks Learn. Syst., 2019

Numerical P systems with Boolean condition.
Theor. Comput. Sci., 2019

Dynamic threshold neural P systems.
Knowl. Based Syst., 2019

On String Languages Generated by Spiking Neural P Systems with Multiple Channels.
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

Spiking neural P systems with multiple channels and polarizations.
Biosyst., 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

A Spectral Clustering Algorithm Improved by P Systems.
Int. J. Comput. Commun. Control, 2018

Spiking neural P systems with multiple channels and anti-spikes.
Biosyst., 2018

Ventilation Cooling Design for a Novel 350-MW Air-Cooled Turbo Generator.
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

On Small Universality of Spiking Neural P Systems with Multiple Channels.
Proceedings of the Membrane Computing, 2018

A Kernel-Based Membrane Clustering Algorithm.
Proceedings of the Enjoying Natural Computing, 2018

2017
Spiking neural P systems with multiple channels.
Neural Networks, 2017

A hybrid approach based on tissue P systems and artificial bee colony for IIR system identification.
Neural Comput. Appl., 2017

Multiobjective fuzzy clustering approach based on tissue-like membrane systems.
Knowl. Based Syst., 2017

Fault diagnosis of power systems using fuzzy tissue-like P systems.
Integr. Comput. Aided Eng., 2017

A kNN classifier optimized by P systems.
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
Membrane computing model for IIR filter design.
Inf. Sci., 2016

An Extended Membrane System with Active Membranes to Solve Automatic Fuzzy Clustering Problems.
Int. J. Neural Syst., 2016

The Implementation of Membrane Clustering Algorithm Based on FPGA.
Proceedings of the Bio-inspired Computing - Theories and Applications, 2016

Fault Diagnosis of Power Systems Based on Triangular Fuzzy Spiking Neural P Systems.
Proceedings of the Bio-inspired Computing - Theories and Applications, 2016

Matrix Representation of Parallel Computation for Spiking Neural P Systems.
Proceedings of the Bio-inspired Computing - Theories and Applications, 2016

2015
An automatic clustering algorithm inspired by membrane computing.
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 unsupervised learning algorithm for membrane computing.
Inf. Sci., 2015

An Approximate Algorithm Combining P Systems and Active Evolutionary Algorithms for Traveling Salesman Problems.
Int. J. Comput. Commun. Control, 2015

Optimal multi-level thresholding with membrane computing.
Digit. Signal Process., 2015

Parallel Implementation of P Systems for Data Clustering on GPU.
Proceedings of the Bio-Inspired Computing - Theories and Applications, 2015

Cell-Like Fuzzy P System and Its Application of Coordination Control in Micro-grid.
Proceedings of the Bio-Inspired Computing - Theories and Applications, 2015

2014
The framework of P systems applied to solve optimal watermarking problem.
Signal Process., 2014

Study on a Novel High-Efficiency Bridgeless PFC Converter.
J. Appl. Math., 2014

A Membrane-Inspired Evolutionary Algorithm Based on Artificial Bee Colony Algorithm.
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

The Application of Spiking Neural P Systems for PLC Programming.
Proceedings of the Bio-Inspired Computing - Theories and Applications, 2014

2013
Weighted Fuzzy Spiking Neural P Systems.
IEEE Trans. Fuzzy Syst., 2013

Audio watermarking scheme robust against desynchronization attacks based on kernel clustering.
Multim. Tools Appl., 2013

A novel image thresholding method based on membrane computing and fuzzy entropy.
J. Intell. Fuzzy Syst., 2013

Fuzzy reasoning spiking neural P system for fault diagnosis.
Inf. Sci., 2013

Adaptive fuzzy spiking neural P systems for fuzzy inference and learning.
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
An optimal image watermarking approach based on a multi-objective genetic algorithm.
Inf. Sci., 2011

Optimal audio watermarking scheme using genetic optimization.
Ann. des Télécommunications, 2011

2010
Image watermarking method in multiwavelet domain based on support vector machines.
J. Syst. Softw., 2010

Fuzzy knowledge representation based on an improving spiking neural P system.
Proceedings of the Sixth International Conference on Natural Computation, 2010

Adaptive spiking neural P systems.
Proceedings of the Sixth International Conference on Natural Computation, 2010

Knowledge representation using fuzzy spiking neural P system.
Proceedings of the Fifth International Conference on Bio-Inspired Computing: Theories and Applications, 2010

Timed spiking neural P systems.
Proceedings of the Fifth International Conference on Bio-Inspired Computing: Theories and Applications, 2010

2009
Adaptive Image Watermarking Approach Based on Kernel Clustering and HVS.
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

A Robust Watermarking Scheme Based on Audio Features in Multiwavelet Domain.
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
Identification of Dynamic Systems Using Recurrent Fuzzy Wavelet Network.
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

Research for a Dynamic Recurrent Fuzzy Wavelet Network.
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
Position Control for PM Synchronous Motor Using Fuzzy Neural Network.
Proceedings of the Advances in Neural Networks - ISNN 2005, Second International Symposium on Neural Networks, Chongqing, China, May 30, 2005

Constructing Multi-resolution Support Vector Regression Modelling.
Proceedings of the AI 2005: Advances in Artificial Intelligence, 2005


  Loading...