Constructing Multi-resolution Support Vector Regression Modelling. - Hong Peng 001; Zheng Pei 001; Jun Wang 013 (Australian Conference on Artificial Intelligence, 2005)

Position Control for PM Synchronous Motor Using Fuzzy Neural Network. - Jun Wang 013; Hong Peng 001; Xiao Jian (ISNN (3), 2005)

Support Vector Regression Based on Scaling Reproducing Kernel for Black-Box System Identification. - Hong Peng 001; Jun Wang 013 (ISDA (1), 2006)

Research for a Dynamic Recurrent Fuzzy Wavelet Network. - Zhigang Wang; Hong Peng 001; Jun Wang 013 (ISDA (1), 2006)

Nonlinear System Identification Using Multi-resolution Reproducing Kernel Based Support Vector Regression. - Hong Peng 001; Jun Wang 013; Min Tang; Lichun Wan (ISNN (2), 2006)

Identification of Dynamic Systems Using Recurrent Fuzzy Wavelet Network. - Jun Wang 013; Hong Peng 001; Jian Xiao (ISNN (2), 2006)

A Novel Blind Image Watermarking Scheme Based on Support Vector Machine in DCT Domain. - Fanman Meng; Hong Peng 001; Zheng Pei 001; Jun Wang 013 (CIS (2), 2008)

A Color Image Watermarking Scheme in Wavelet Domain Based on Support Vector Machines. - Deyu Hu; Jun Wang 013; Hong Peng 001; Xun Wang (PACIIA (1), 2008)

A Robust Watermarking Scheme Based on Audio Features in Multiwavelet Domain. - Xun Wang; Hong Peng 001; Deyu Hu; Jun Wang 013 (PACIIA (1), 2008)

Small molecular and polymer organic light-emitting diodes based on novel iridium complex phosphor. - Junsheng Yu; Jun Wang 013; Shuangling Lou; Tao Wang 029; Yadong Jiang (Displays, 2008)

An Adaptive Audio Watermarking Method Based on Local Audio Feature and Support Vector Regression. - Hong Peng 001; Jun Wang 013; Weixing Wang (SNPD, 2009)

Adaptive Image Watermarking Approach Based on Kernel Clustering and HVS. - Hong Peng 001; Jun Wang 013; Weixing Wang (WILF, 2009)

Timed spiking neural P systems. - Hong Peng 001; Jun Wang 013; Gexiang Zhang; Marian Gheorghe 001 (BIC-TA, 2010)

Knowledge representation using fuzzy spiking neural P system. - Tao Wang 029; Jun Wang 013; Hong Peng 001; Yanli Deng (BIC-TA, 2010)

Adaptive spiking neural P systems. - Hong Peng 001; Jun Wang 013 (ICNC, 2010)

Fuzzy knowledge representation based on an improving spiking neural P system. - Jun Wang 013; Hong Peng 001 (ICNC, 2010)

Image watermarking method in multiwavelet domain based on support vector machines. - Hong Peng 001; Jun Wang 013; Weixing Wang (J. Syst. Softw., 2010)

Optimal audio watermarking scheme using genetic optimization. - Hong Peng 001; Jun Wang 013 (Ann. des Télécommunications, 2011)

An optimal image watermarking approach based on a multi-objective genetic algorithm. - Jun Wang 013; Hong Peng 001; Peng Shi 001 (Inf. Sci., 2011)

Novel LMI-based stability and stabilization analysis on impulsive switched system with time delays. - Bo Wang; Peng Shi 001; Jun Wang 013; Yongduan Song (J. Frankl. Inst., 2012)

A learning-based audio watermarking scheme using kernel Fisher discriminant analysis. - Hong Peng 001; Bing Li; Xiaohui Luo; Jun Wang 013; Zulin Zhang (Digit. Signal Process., 2013)

Adaptive fuzzy spiking neural P systems for fuzzy inference and learning. - Jun Wang 013; Hong Peng 001 (Int. J. Comput. Math., 2013)

Fuzzy reasoning spiking neural P system for fault diagnosis. - Hong Peng 001; Jun Wang 013; Mario J. Pérez-Jiménez; Hao Wang; Jie Shao; Tao Wang 029 (Inf. Sci., 2013)

A novel image thresholding method based on membrane computing and fuzzy entropy. - Hong Peng 001; Jun Wang 013; Mario J. Pérez-Jiménez; Peng Shi 001 (J. Intell. Fuzzy Syst., 2013)

Audio watermarking scheme robust against desynchronization attacks based on kernel clustering. - Hong Peng 001; Jun Wang 013; Zulin Zhang (Multim. Tools Appl., 2013)

Weighted Fuzzy Spiking Neural P Systems. - Jun Wang 013; Peng Shi 001; Hong Peng 001; Mario J. Pérez-Jiménez; Tao Wang 029 (IEEE Trans. Fuzzy Syst., 2013)

The Application of Spiking Neural P Systems for PLC Programming. - Ke Chen 008; Jun Wang 013; Zhang Sun; Juan Luo; Tao Liu (BIC-TA, 2014)

An Improved Particle Swarm Optimization and Its Application for Micro-grid Economic Operation Optimization. - Tao Liu; Jun Wang 013; Zhang Sun; Juan Luo; Tingting He; Ke Chen 008 (BIC-TA, 2014)

A Membrane-Inspired Evolutionary Algorithm Based on Artificial Bee Colony Algorithm. - Xiaoxiao Song; Jun Wang 013 (BIC-TA, 2014)

Study on a Novel High-Efficiency Bridgeless PFC Converter. - Taiqiang Cao; Zhangyong Chen; Jun Wang 013; Zhang Sun; Qian Luo; Fei Zhang (J. Appl. Math., 2014)

The framework of P systems applied to solve optimal watermarking problem. - Hong Peng 001; Jun Wang 013; Mario J. Pérez-Jiménez; Agustin Riscos-Núñez (Signal Process., 2014)

Cell-Like Fuzzy P System and Its Application of Coordination Control in Micro-grid. - Ke Chen 008; Jun Wang 013; Ming Li; Jun Ming; Hong Peng 001 (BIC-TA, 2015)

Parallel Implementation of P Systems for Data Clustering on GPU. - Jie Jin; Hui Liu; Fengjuan Wang; Hong Peng 001; Jun Wang 013 (BIC-TA, 2015)

Optimal multi-level thresholding with membrane computing. - Hong Peng 001; Jun Wang 013; Mario J. Pérez-Jiménez (Digit. Signal Process., 2015)

An Approximate Algorithm Combining P Systems and Active Evolutionary Algorithms for Traveling Salesman Problems. - Xiaoxiao Song; Jun Wang 013 (Int. J. Comput. Commun. Control, 2015)

An unsupervised learning algorithm for membrane computing. - Hong Peng 001; Jun Wang 013; Mario J. Pérez-Jiménez; Agustin Riscos-Núñez (Inf. Sci., 2015)

DSP-Based Control of Tri-State Boost PFC Converter with High Input Power Factor for Wide Range of Load Variations. - Taiqiang Cao; Fang You; Fei Zhang; Ping Yang; Qian Luo; Jun Wang 013 (J. Circuits Syst. Comput., 2015)

An automatic clustering algorithm inspired by membrane computing. - Hong Peng 001; Jun Wang 013; Peng Shi 001; Agustin Riscos-Núñez; Mario J. Pérez-Jiménez (Pattern Recognit. Lett., 2015)

Matrix Representation of Parallel Computation for Spiking Neural P Systems. - Juan Hu; Guangchun Chen; Hong Peng 001; Jun Wang 013; Xiangnian Huang; Xiaohui Luo (BIC-TA (1), 2016)

Fault Diagnosis of Power Systems Based on Triangular Fuzzy Spiking Neural P Systems. - Chengyu Tao; Wenping Yu; Jun Wang 013; Hong Peng 001; Ke Chen 008; Jun Ming (BIC-TA (1), 2016)

The Implementation of Membrane Clustering Algorithm Based on FPGA. - Yunying Yang; Jun Ming; Jun Wang 013; Hong Peng 001; Zhang Sun; Wenping Yu (BIC-TA (1), 2016)

An Extended Membrane System with Active Membranes to Solve Automatic Fuzzy Clustering Problems. - Hong Peng 001; Jun Wang 013; Peng Shi 001; Mario J. Pérez-Jiménez; Agustin Riscos-Núñez (Int. J. Neural Syst., 2016)

Membrane computing model for IIR filter design. - Jun Wang 013; Peng Shi 001; Hong Peng 001 (Inf. Sci., 2016)

An Improved Spiking Neural P Systems with Anti-Spikes for Fault Location of Distribution Networks with Distributed Generation. - Chengyu Tao; Jun Wang 013; Tao Wang 029; Yanxiang Yang (BIC-TA, 2017)

Distributed Fuzzy P Systems with Promoters and Their Application in Power Balance of Multi-microgrids. - Wenping Yu; Jun Wang 013; Tao Wang 029; Yanxiang Yang (BIC-TA, 2017)

A kNN classifier optimized by P systems. - Juan Hu; Guangchun Chen; Hong Peng 001; Jun Wang 013; Xiangnian Huang; Xiaohui Luo (ICNC-FSKD, 2017)

Fault diagnosis of power systems using fuzzy tissue-like P systems. - Hong Peng 001; Jun Wang 013; Peng Shi 001; Mario J. Pérez-Jiménez; Agustin Riscos-Núñez (Integr. Comput. Aided Eng., 2017)

Multiobjective fuzzy clustering approach based on tissue-like membrane systems. - Hong Peng 001; Peng Shi 001; Jun Wang 013; Agustin Riscos-Núñez; Mario J. Pérez-Jiménez (Knowl. Based Syst., 2017)

A hybrid approach based on tissue P systems and artificial bee colony for IIR system identification. - Hong Peng 001; Jun Wang 013 (Neural Comput. Appl., 2017)

Spiking neural P systems with multiple channels. - Hong Peng 001; Jinyu Yang; Jun Wang 013; Tao Wang 029; Zhang Sun; Xiaoxiao Song; Xiaohui Luo; Xiangnian Huang (Neural Networks, 2017)

A Kernel-Based Membrane Clustering Algorithm. - Jinyu Yang; Ru Chen; Guozhou Zhang; Hong Peng 001; Jun Wang 013; Agustín Riscos-Núñez (Enjoying Natural Computing, 2018)

On Small Universality of Spiking Neural P Systems with Multiple Channels. - Xiaoxiao Song; Hong Peng 001; Jun Wang 013; Guimin Ning; Tao Wang 029; Zhang Sun; Yankun Xia (Int. Conf. on Membrane Computing, 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. - Zhen-Nan Fan; Li Han; Yong Liao; Li-Dan Xie; Kun Wen; Jun Wang 013; Xiu-Cheng Dong; Bing Yao (IEEE Access, 2018)

Application of Neural-Like P Systems With State Values for Power Coordination of Photovoltaic/Battery Microgrids. - Tao Wang 029; Jun Wang 013; Jun Ming; Zhang Sun; Chuanxiang Wei; Chun Lu; Mario J. Pérez-Jiménez (IEEE Access, 2018)

Ventilation Cooling Design for a Novel 350-MW Air-Cooled Turbo Generator. - Guang-Hou Zhou; Li Han; Zhen-Nan Fan; Hai-Bo Zhang; Xiu-Cheng Dong; Jun Wang 013; Zhang Sun; Bi-de Zhang (IEEE Access, 2018)

Spiking neural P systems with multiple channels and anti-spikes. - Xiaoxiao Song; Jun Wang 013; Hong Peng 001; Guimin Ning; Zhang Sun; Tao Wang 029; Fan Yang (Biosyst., 2018)

A Spectral Clustering Algorithm Improved by P Systems. - Guangchun Chen; Juan Hu; Hong Peng 001; Jun Wang 013; Xiangnian Huang (Int. J. Comput. Commun. Control, 2018)

Fault Diagnosis of Power Systems Using Intuitionistic Fuzzy Spiking Neural P Systems. - Hong Peng 001; Jun Wang 013; Jun Ming; Peng Shi 001; Mario J. Pérez-Jiménez; Wenping Yu; Chengyu Tao (IEEE Trans. Smart Grid, 2018)

Smoothing Photovoltaic Power Fluctuations for Cascade Hydro-PV-Pumped Storage Generation System Based on a Fuzzy CEEMDAN. - Lei Chen 054; Jun Wang 013; Zhang Sun; Tao Huang 002; Fan Wu (IEEE Access, 2019)

Smart Home Energy Management Optimization Method Considering Energy Storage and Electric Vehicle. - Xuan Hou; Jun Wang 013; Tao Huang 002; Tao Wang 029; Peng Wang 017 (IEEE Access, 2019)

A Novel Control Method to Improve Current Regulation and Harmonics in Navigation Dimming Power Supply. - Zhang Sun; Fan Wu; Weidong Jin; Jun Wang 013; Yunpu Wu; Xunbing Wu; Zhongjun Wei (IEEE Access, 2019)

Modeling Fault Propagation Paths in Power Systems: A New Framework Based on Event SNP Systems With Neurotransmitter Concentration. - Tao Wang 029; Xiaoguang Wei; Tao Huang 002; Jun Wang 013; Hong Peng 001; Mario J. Pérez-Jiménez; Luis Valencia-Cabrera (IEEE Access, 2019)

Spiking neural P systems with multiple channels and polarizations. - Qian Yang 002; Zeqiong Lv; Liucheng Liu; Hong Peng 001; Xiaoxiao Song; Jun Wang 013 (Biosyst., 2019)

Cascading Failures Analysis Considering Extreme Virus Propagation of Cyber-Physical Systems in Smart Grids. - Tao Wang 029; Xiaoguang Wei; Tao Huang 002; Jun Wang 013; Luis Valencia-Cabrera; Zhen-Nan Fan; Mario J. Pérez-Jiménez (Complex., 2019)

Interval-valued fuzzy spiking neural P systems for fault diagnosis of power transmission networks. - Jun Wang 013; Hong Peng 001; Wenping Yu; Jun Ming; Mario J. Pérez-Jiménez; Chengyu Tao; Xiangnian Huang (Eng. Appl. Artif. Intell., 2019)

On String Languages Generated by Spiking Neural P Systems with Multiple Channels. - Yue Huang; Bo Li 034; Zeqiong Lv; Wenmei Yi; Hong Peng 001; Xiaoxiao Song; Jun Wang 013 (Int. J. Unconv. Comput., 2019)

Dynamic threshold neural P systems. - Hong Peng 001; Jun Wang 013; Mario J. Pérez-Jiménez; Agustín Riscos-Núñez (Knowl. Based Syst., 2019)

Numerical P systems with Boolean condition. - Liucheng Liu; Wenmei Yi; Qian Yang 002; Hong Peng 001; Jun Wang 013 (Theor. Comput. Sci., 2019)

Coupled Neural P Systems. - Hong Peng 001; Jun Wang 013 (IEEE Trans. Neural Networks Learn. Syst., 2019)

An Editable k-Nearest Neighbor Classifier Based on Tissue-Like P Systems. - Juan Hu; Zhiliang Chen; Liping Shi; Jiao He; Hong Peng 001; Jun Wang 013 (BIC-TA, 2020)

Stochastic Numerical P Systems With Application in Data Clustering Problems. - Jinyu Yang; Hong Peng 001; Xiaohui Luo; Jun Wang 013 (IEEE Access, 2020)

Asynchronous Spiking Neural P Systems with Multiple Channels and Symbols. - Wenmei Yi; Zeqiong Lv; Hong Peng 001; Xiaoxiao Song; Jun Wang 013 (Comput. Informatics, 2020)

A Fault Diagnosis Method for Power Transmission Networks Based on Spiking Neural P Systems with Self-Updating Rules considering Biological Apoptosis Mechanism. - Wei Liu 142; Tao Wang 029; Tianlei Zang; Zhu Huang; Jun Wang 013; Tao Huang 002; Xiaoguang Wei; Chuan Li (Complex., 2020)

A weighted corrective fuzzy reasoning spiking neural P system for fault diagnosis in power systems with variable topologies. - Tao Wang 029; Xiaoguang Wei; Jun Wang 013; Tao Huang 002; Hong Peng 001; Xiaoxiao Song; Luis Valencia-Cabrera; Mario J. Pérez-Jiménez (Eng. Appl. Artif. Intell., 2020)

Small Universal Numerical P Systems with Thresholds for Computing Functions. - Liucheng Liu; Wenmei Yi; Qian Yang 002; Hong Peng 001; Jun Wang 013 (Fundam. Informaticae, 2020)

Nonlinear Spiking Neural P Systems. - Hong Peng 001; Zeqiong Lv; Bo Li 034; Xiaohui Luo; Jun Wang 013; Xiaoxiao Song; Tao Wang 029; Mario J. Pérez-Jiménez; Agustín Riscos-Núñez (Int. J. Neural Syst., 2020)

Small universal asynchronous spiking neural P systems with multiple channels. - Xiaoxiao Song; Hong Peng 001; Jun Wang 013; Guimin Ning; Zhang Sun (Neurocomputing, 2020)

Sequential Coupled Neural P Systems. - Zeqiong Lv; Jiangheng Kou; Wenmei Yi; Hong Peng 001; Xioxiao Song; Jun Wang 013 (Int. J. Unconv. Comput., 2020)

Sequential dynamic threshold neural P systems. - Tingting Bao; Nan Zhou; Zeqiong Lv; Hong Peng 001; Jun Wang 013 (J. Membr. Comput., 2020)

Multi-focus image fusion based on dynamic threshold neural P systems and surfacelet transform. - Bo Li 034; Hong Peng 001; Jun Wang 013; Xiangnian Huang (Knowl. Based Syst., 2020)

Spiking neural P systems with inhibitory rules. - Hong Peng 001; Bo Li 034; Jun Wang 013; Xiaoxiao Song; Tao Wang 029; Luis Valencia-Cabrera; Ignacio Pérez-Hurtado; Agustín Riscos-Núñez; Mario J. Pérez-Jiménez (Knowl. Based Syst., 2020)

Dendrite P systems. - Hong Peng 001; Tingting Bao; Xiaohui Luo; Jun Wang 013; Xiaoxiao Song; Agustín Riscos-Núñez; Mario J. Pérez-Jiménez (Neural Networks, 2020)

kNN-P: A kNN classifier optimized by P systems. - Juan Hu; Hong Peng 001; Jun Wang 013; Wenping Yu (Theor. Comput. Sci., 2020)

Spiking neural P systems with structural plasticity and anti-spikes. - Qian Yang 002; Bo Li 034; Yue Huang; Hong Peng 001; Jun Wang 013 (Theor. Comput. Sci., 2020)

Multi-focus image fusion approach based on CNP systems in NSCT domain. - Hong Peng 001; Bo Li 034; Qian Yang 002; Jun Wang 013 (Comput. Vis. Image Underst., 2021)

Computational completeness of sequential spiking neural P systems with inhibitory rules. - Tingting Bao; Nan Zhou; Hong Peng 001; Qian Yang 002; Jun Wang 013 (Inf. Comput., 2021)

Nonlinear neural P systems for generating string languages. - Nan Zhou; Qian Yang 002; Hong Peng 001; Jun Wang 013; Xiaohui Luo (Inf. Comput., 2021)

Medical Image Fusion Method Based on Coupled Neural P Systems in Nonsubsampled Shearlet Transform Domain. - Bo Li 034; Hong Peng 001; Xiaohui Luo; Jun Wang 013; Xiaoxiao Song; Mario J. Pérez-Jiménez; Agustín Riscos-Núñez (Int. J. Neural Syst., 2021)

Spiking Neural P Systems with Delay on Synapses. - Xiaoxiao Song; Luis Valencia-Cabrera; Hong Peng 001; Jun Wang 013; Mario J. Pérez-Jiménez (Int. J. Neural Syst., 2021)

Spiking neural P systems with autapses. - Xiaoxiao Song; Luis Valencia-Cabrera; Hong Peng 001; Jun Wang 013 (Inf. Sci., 2021)

Reliability evaluation of distribution network based on fuzzy spiking neural P system with self-synapse. - Yu-Lei Huang; Tao Wang 029; Jun Wang 013; Hong Peng 001 (J. Membr. Comput., 2021)

Computational power of sequential spiking neural P systems with multiple channels. - Zeqiong Lv; Qian Yang 002; Hong Peng 001; Xiaoxiao Song; Jun Wang 013 (J. Membr. Comput., 2021)

Medical image fusion based on DTNP systems and Laplacian pyramid. - Siheng Mi; Li Zhang; Hong Peng 001; Jun Wang 013 (J. Membr. Comput., 2021)

A novel fusion method based on dynamic threshold neural P systems and nonsubsampled contourlet transform for multi-modality medical images. - Bo Li 034; Hong Peng 001; Jun Wang 013 (Signal Process., 2021)

Computational power of sequential dendrite P systems. - Tingting Bao; Qian Yang 002; Hong Peng 001; Xiaohui Luo; Jun Wang 013; Xiaoxiao Song (Theor. Comput. Sci., 2021)

Computational power of dynamic threshold neural P systems for generating string languages. - Yue Huang; Wenmei Yi; Hong Peng 001; Jun Wang 013; Xiaohui Luo; Qian Yang 002 (Theor. Comput. Sci., 2021)

A novel edge detection method based on dynamic threshold neural P systems with orientation. - Jiahao Yan; Li Zhang; Xiaohui Luo; Hong Peng 001; Jun Wang 013 (Digit. Signal Process., 2022)

A Time Series Forecasting Approach Based on Nonlinear Spiking Neural Systems. - Lifan Long; Qian Liu; Hong Peng 001; Qian Yang 002; Xiaohui Luo; Jun Wang 013; Xiaoxiao Song (Int. J. Neural Syst., 2022)

An unsupervised segmentation method based on dynamic threshold neural P systems for color images. - Yulong Cai; Siheng Mi; Jiahao Yan; Hong Peng 001; Xiaohui Luo; Qian Yang 002; Jun Wang 013 (Inf. Sci., 2022)

Supervisory control of discrete event systems under asynchronous spiking neuron P systems. - Xiaoliang Chen; Hong Peng 001; Jun Wang 013; Fei Hao 001 (Inf. Sci., 2022)

ConvSNP: a deep learning model embedded with SNP-like neurons. - Shuwei Zhao; Li Zhang; Zhicai Liu; Hong Peng 001; Jun Wang 013 (J. Membr. Comput., 2022)

LSTM-SNP: A long short-term memory model inspired from spiking neural P systems. - Qian Liu; Lifan Long; Qian Yang 002; Hong Peng 001; Jun Wang 013; Xiaohui Luo (Knowl. Based Syst., 2022)

Echo spiking neural P systems. - Lifan Long; Rikong Lugu; Xin Xiong; Qian Liu; Hong Peng 001; Jun Wang 013; David Orellana-Martín; Mario J. Pérez-Jiménez (Knowl. Based Syst., 2022)

Multivariate time series forecasting method based on nonlinear spiking neural P systems and non-subsampled shearlet transform. - Lifan Long; Qian Liu; Hong Peng 001; Jun Wang 013; Qian Yang 002 (Neural Networks, 2022)

Dynamic threshold P systems with delay on synapses for shortest path problems. - Silu Yang; Dong Li; Hong Peng 001; Wenjie Zhou; Xiaohui Luo; Qian Yang 002; Jun Wang 013; Xiaoxiao Song (Theor. Comput. Sci., 2022)

Computational completeness of spiking neural P systems with inhibitory rules for generating string languages. - Nan Zhou; Hong Peng 001; Jun Wang 013; Qian Yang 002; Xiaohui Luo (Theor. Comput. Sci., 2022)

SLP-Net: An efficient lightweight network for segmentation of skin lesions. - Bo Yang 054; Hong Peng 001; Chenggang Guo; Xiaohui Luo; Jun Wang 013; Xianzhong Long (CoRR, 2023)

Multi-stages attention Breast cancer classification based on nonlinear spiking neural P neurons with autapses. - Bo Yang 054; Hong Peng 001; Xiaohui Luo; Jun Wang 013 (CoRR, 2023)

A Prediction Model Based on Gated Nonlinear Spiking Neural Systems. - Yujie Zhang; Qian Yang 002; Zhicai Liu; Hong Peng 001; Jun Wang 013 (Int. J. Neural Syst., 2023)

Attention-enabled gated spiking neural P model for aspect-level sentiment classification. - Yanping Huang; Hong Peng 001; Qian Liu; Qian Yang 002; Jun Wang 013; David Orellana-Martín; Mario J. Pérez-Jiménez (Neural Networks, 2023)

Nonlinear spiking neural P systems with multiple channels. - Qian Yang 002; Xin Xiong; Hong Peng 001; Jun Wang 013; Xiaoxiao Song (Theor. Comput. Sci., 2023)

Edge Detection Method Based on Nonlinear Spiking Neural Systems. - Ronghao Xian; Rikong Lugu; Hong Peng 001; Qian Yang 002; Xiaohui Luo; Jun Wang 013 (Int. J. Neural Syst., 2023)

SDDC-Net: A U-shaped deep spiking neural P convolutional network for retinal vessel segmentation. - Bo Yang 054; Lang Qin; Hong Peng 001; Chenggang Guo; Xiaohui Luo; Jun Wang 013 (Digit. Signal Process., 2023)

Sentiment classification using bidirectional LSTM-SNP model and attention mechanism. - Yanping Huang; Qian Liu; Hong Peng 001; Jun Wang 013; Qian Yang 002; David Orellana-Martín (Expert Syst. Appl., 2023)

An Attention-Aware Long Short-Term Memory-Like Spiking Neural Model for Sentiment Analysis. - Qian Liu; Yanping Huang; Qian Yang 002; Hong Peng 001; Jun Wang 013 (Int. J. Neural Syst., 2023)

Gated Spiking Neural P Systems for Time Series Forecasting. - Qian Liu; Lifan Long; Hong Peng 001; Jun Wang 013; Qian Yang 002; Xiaoxiao Song; Agustín Riscos-Núñez; Mario J. Pérez-Jiménez (IEEE Trans. Neural Networks Learn. Syst., 2023)

Recurrent convolutional model based on gated spiking neural P system for stereo matching networks. - Chenggang Guo; Hong Peng 001; Jun Wang 013 (Appl. Intell., 2023)

LMFUNet: A Lightweight Multi-fusion UNet Based on Spiking Neural Systems for Skin Lesion Segmentation. - Ningkang Hu; Bing Li; Hong Peng 001; Zhicai Liu; Jun Wang 013 (IEEE Access, 2024)

Sentence-level sentiment classification based on multi-attention bidirectional gated spiking neural P systems. - Yanping Huang; Xinzhu Bai; Qian Liu; Hong Peng 001; Qian Yang 002; Jun Wang 013 (Appl. Soft Comput., 2024)

A reservoir computing model based on nonlinear spiking neural P systems for time series forecasting. - Lifan Long; Chenggang Guo; Xin Xiong; Hong Peng 001; Jun Wang 013 (Appl. Soft Comput., 2024)

A semantic segmentation method integrated convolutional nonlinear spiking neural model with Transformer. - Siyan Sun; Wenqian Yang; Hong Peng 001; Jun Wang 013; Zhicai Liu (Comput. Vis. Image Underst., 2024)

A detection method based on nonlinear spiking neural systems for infrared small targets. - Faxing Zhang; Bo Yang 054; Hong Peng 001; Xiaohui Luo; Jun Wang 013; Zhicai Liu (Digit. Signal Process., 2024)

Time series classification models based on nonlinear spiking neural P systems. - Xin Xiong; Min Wu; Juan He; Hong Peng 001; Jun Wang 013; Xianzhong Long; Qian Yang 002 (Eng. Appl. Artif. Intell., 2024)

K-order echo-type spiking neural P systems for time series forecasting. - Juan He; Hong Peng 001; Jun Wang 013; Qian Yang 002; Antonio Ramírez-de-Arellano (Neurocomputing, 2024)

Gated graph spiking neural P network for session-based recommendation. - Xinzhu Bai; Lingyun Zhang; Mingtao Jiang; Hong Peng 001; Jun Wang 013; Qian Yang 002; Antonio Ramírez-de-Arellano (Knowl. Based Syst., 2024)

A deep echo-like spiking neural P systems for time series prediction. - Juan He; Hong Peng 001; Jun Wang 013; Antonio Ramírez-de-Arellano (Knowl. Based Syst., 2024)

Multi-level feature interaction image super-resolution network based on convolutional nonlinear spiking neural model. - Lulin Ye; Chi Zhou; Hong Peng 001; Jun Wang 013; Zhicai Liu; Qian Yang 002 (Neural Networks, 2024)

Multi-directional feature fusion super-resolution network based on nonlinear spiking neural P systems. - Lulin Ye; Chi Zhou; Hong Peng 001; Jun Wang 013; Zhicai Liu; Antonio Ramírez-de-Arellano (Signal Process., 2024)

Sequence recommendation using multi-level self-attention network with gated spiking neural P systems. - Xinzhu Bai; Yanping Huang; Hong Peng 001; Jun Wang 013; Qian Yang 002; David Orellana-Martín; Antonio Ramírez-de-Arellano; Mario J. Pérez-Jiménez (Inf. Sci., 2024)

Reservoir computing models based on spiking neural P systems for time series classification. - Hong Peng 001; Xin Xiong; Min Wu; Jun Wang 013; Qian Yang 002; David Orellana-Martín; Mario J. Pérez-Jiménez (Neural Networks, 2024)

Medium-long-term electricity load forecasting based on NSNP systems and attention mechanism. - Lin Guo; Jun Wang 013; Hong Peng 001; Yunzhu Gao (J. Membr. Comput., 2024)

Feature fusion method based on spiking neural convolutional network for edge detection. - Ronghao Xian; Xin Xiong; Hong Peng 001; Jun Wang 013; Antonio Ramírez-de-Arellano; Qian Yang 002 (Pattern Recognit., 2024)

Nonlinear Spiking Neural Systems With Autapses for Predicting Chaotic Time Series. - Qian Liu; Hong Peng 001; Lifan Long; Jun Wang 013; Qian Yang 002; Mario J. Pérez-Jiménez; David Orellana-Martín (IEEE Trans. Cybern., 2024)

A Parallel Convolutional Network Based on Spiking Neural Systems. - Chi Zhou; Lulin Ye; Hong Peng 001; Zhicai Liu; Jun Wang 013; Antonio Ramírez-de-Arellano (Int. J. Neural Syst., 2024)

Multitask Adversarial Networks Based on Extensive Nonlinear Spiking Neuron Models. - Jun Fu; Hong Peng 001; Bing Li; Zhicai Liu; Rikong Lugu; Jun Wang 013; Antonio Ramírez-de-Arellano (Int. J. Neural Syst., 2024)

Multiple-in-Single-Out Object Detector Leveraging Spiking Neural Membrane Systems and Multiple Transformers. - Zhengyuan Jiang; Siyan Sun; Hong Peng 001; Zhicai Liu; Jun Wang 013 (Int. J. Neural Syst., 2024)

Seizure Detection of EEG Signals Based on Multi-Channel Long- and Short-Term Memory-Like Spiking Neural Model. - Min Wu; Hong Peng 001; Zhicai Liu; Jun Wang 013 (Int. J. Neural Syst., 2024)

Preface. - Lucie Ciencialová; Linqiang Pan; Jun Wang 013; Claudio Zandron; Gexiang Zhang (J. Membr. Comput., 2024)

A Novel Electrical Load Forecasting Model for Extreme Weather Events Based on Improved Gated Spiking Neural P Systems and Frequency Enhanced Channel Attention Mechanism. - Yuanshuo Guo; Jun Wang 013; Yan Zhong; Tao Wang 029; Zeyuan Sui (IEEE Access, 2025)

Spiking neural self-attention network for sequence recommendation. - Xinzhu Bai; Yanping Huang; Hong Peng 001; Qian Yang 002; Jun Wang 013; Zhicai Liu (Appl. Soft Comput., 2025)

SLP-Net:An efficient lightweight network for segmentation of skin lesions. - Bo Yang 054; Ruimei Zhang; Hong Peng 001; Chenggang Guo; Xiaohui Luo; Jun Wang 013; Xianzhong Long (Biomed. Signal Process. Control., 2025)

A graph attention network integrated with gated spiking neural P systems for session-based recommendation. - Xinzhu Bai; Hong Peng 001; Yanping Huang; Jun Wang 013; Qian Yang 002; Antonio Ramírez-de-Arellano (Expert Syst. Appl., 2025)

LDN-SNP: SNP-based lightweight deep network for CT image segmentation of COVID-19. - Jun Fu; Hong Peng 001; Bin Li; Jun Wang 013; Zhicai Liu (Expert Syst. Appl., 2025)

Semi-supervised medical image segmentation using spiking neural P-like convolutional model and pseudo label-guided cross-patch contrastive learning. - Chi Zhou; Lulin Ye; Hong Peng 001; Jun Wang 013; Zhicai Liu (Neurocomputing, 2025)

Model design and exponential state estimation for discrete-time delayed memristive spiking neural P systems. - Nijing Yang; Hong Peng 001; Jun Wang 013; Xiang Lu; Antonio Ramírez-de-Arellano; Xiangxiang Wang; Yongbin Yu (Neural Networks, 2025)

A multi-scale spatiotemporal network traffic prediction method based on spiking neural model. - Erju Li; Bing Li; Hong Peng 001; Jun Wang 013 (J. Membr. Comput., 2025)

Channel parallel virus machine for power system fault diagnosis. - Hanyan Wu; Antonio Ramírez-de-Arellano; David Orellana-Martín; Tao Wang 029; Jun Wang 013; Mario J. Pérez-Jiménez (J. Membr. Comput., 2025)

Emergent computing models & algorithms. - Gexiang Zhang; Jun Wang 013; Yajun Du (Int. J. Parallel Emergent Distributed Syst., 2025)