Hong Peng

ORCID

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 83

Top Venues

Publications

Chongling Yang, Yaorui Tang, Hong Peng, Xiaohui Luo
RAGE-Net: Enhanced retinal vessel segmentation U-shaped network using Gabor convolution. Digit. Signal Process. 153 (2024)
Lifan Long, Chenggang Guo, Xin Xiong, Hong Peng, Jun Wang
A reservoir computing model based on nonlinear spiking neural P systems for time series forecasting. Appl. Soft Comput. 159 (2024)
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 (2024)
Xin Xiong, Min Wu, Juan He, Hong Peng, Jun Wang, Xianzhong Long, Qian Yang
Time series classification models based on nonlinear spiking neural P systems. Eng. Appl. Artif. Intell. 129 (2024)
Yaorui Tang, Bo Yang, Hong Peng, Xiaohui Luo
Industrial defect detection and location based on greedy membrane clustering algorithm. Digit. Signal Process. 149 (2024)
Yanping Huang, Xinzhu Bai, Qian Liu, Hong Peng, Qian Yang, Jun Wang
Sentence-level sentiment classification based on multi-attention bidirectional gated spiking neural P systems. Appl. Soft Comput. 152 (2024)
Lulin Ye, Chi Zhou, Hong Peng, Jun Wang, Zhicai Liu, Antonio Ramírez-de-Arellano
Multi-directional feature fusion super-resolution network based on nonlinear spiking neural P systems. Signal Process. 224 (2024)
Hong Peng, Xin Xiong, Min Wu, Jun Wang, Qian Yang, David Orellana-Martín, Mario J. Pérez-Jiménez
Reservoir computing models based on spiking neural P systems for time series classification. Neural Networks 169 (2024)
Qian Liu, Hong Peng, Lifan Long, Jun Wang, Qian Yang, Mario J. Pérez-Jiménez, David Orellana-Martín
Nonlinear Spiking Neural Systems With Autapses for Predicting Chaotic Time Series. IEEE Trans. Cybern. 54 (3) (2024)
Lin Guo, Jun Wang, Hong Peng, Yunzhu Gao
Medium-long-term electricity load forecasting based on NSNP systems and attention mechanism. J. Membr. Comput. 6 (1) (2024)
Lulin Ye, Chi Zhou, Hong Peng, Jun Wang, Zhicai Liu, Qian Yang
Multi-level feature interaction image super-resolution network based on convolutional nonlinear spiking neural model. Neural Networks 177 (2024)
Chi Zhou, Lulin Ye, Hong Peng, Zhicai Liu, Jun Wang, Antonio Ramírez-de-Arellano
A Parallel Convolutional Network Based on Spiking Neural Systems. Int. J. Neural Syst. 34 (5) (2024)
Xinzhu Bai, Lingyun Zhang, Mingtao Jiang, Hong Peng, Jun Wang, Qian Yang, Antonio Ramírez-de-Arellano
Gated graph spiking neural P network for session-based recommendation. Knowl. Based Syst. 300 (2024)
Ronghao Xian, Xin Xiong, Hong Peng, Jun Wang, Antonio Ramírez-de-Arellano, Qian Yang
Feature fusion method based on spiking neural convolutional network for edge detection. Pattern Recognit. 147 (2024)
Faxing Zhang, Bo Yang, Hong Peng, Xiaohui Luo, Jun Wang, Zhicai Liu
A detection method based on nonlinear spiking neural systems for infrared small targets. Digit. Signal Process. 153 (2024)
Yuxiang Feng, Yao Huang, Bing Li, Hong Peng, Jian Wang, Weikai Zhou
Connectivity Enhancement of E-VANET Based on QL-mRSU Self-Learning Energy-Saving Algorithm. IEEE Access 11 (2023)
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 (2023)
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 (2023)
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) (2023)
Qian Yang, Xin Xiong, Hong Peng, Jun Wang, Xiaoxiao Song
Nonlinear spiking neural P systems with multiple channels. Theor. Comput. Sci. 965 (2023)
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) (2023)
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 (2023)
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) (2023)
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) (2023)
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 (2022)
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) (2022)
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 (2022)
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 (2022)
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 (2022)
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) (2022)
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 (2022)
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 (2022)
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 (2022)
Tingting Bao, Qian Yang, Hong Peng, Xiaohui Luo, Jun Wang, Xiaoxiao Song
Computational power of sequential dendrite P systems. Theor. Comput. Sci. 893 (2021)
Siheng Mi, Li Zhang, Hong Peng, Jun Wang
Medical image fusion based on DTNP systems and Laplacian pyramid. J. Membr. Comput. 3 (4) (2021)
Xiaoxiao Song, Luis Valencia-Cabrera, Hong Peng, Jun Wang
Spiking neural P systems with autapses. Inf. Sci. 570 (2021)
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) (2021)
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 (2021)
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 (2021)
Zeqiong Lv, Tingting Bao, Nan Zhou, Hong Peng, Xiangnian Huang, Agustín Riscos-Núñez, Mario J. Pérez-Jiménez
Spiking Neural P Systems with Extended Channel Rules. Int. J. Neural Syst. 31 (1) (2021)
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) (2021)
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) (2021)
Nan Zhou, Qian Yang, Hong Peng, Jun Wang, Xiaohui Luo
Nonlinear neural P systems for generating string languages. Inf. Comput. 281 (2021)
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 (2021)
Tingting Bao, Nan Zhou, Hong Peng, Qian Yang, Jun Wang
Computational completeness of sequential spiking neural P systems with inhibitory rules. Inf. Comput. 281 (2021)
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) (2021)
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 (2020)
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 (2020)
Jinyu Yang, Hong Peng, Xiaohui Luo, Jun Wang
Stochastic Numerical P Systems With Application in Data Clustering Problems. IEEE Access 8 (2020)
Liucheng Liu, Wenmei Yi, Qian Yang, Hong Peng, Jun Wang
Small Universal Numerical P Systems with Thresholds for Computing Functions. Fundam. Informaticae 176 (1) (2020)
Xiaoxiao Song, Hong Peng, Jun Wang, Guimin Ning, Zhang Sun
Small universal asynchronous spiking neural P systems with multiple channels. Neurocomputing 378 (2020)
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)
Qian Yang, Bo Li, Yue Huang, Hong Peng, Jun Wang
Spiking neural P systems with structural plasticity and anti-spikes. Theor. Comput. Sci. 801 (2020)
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) (2020)
Juan Hu, Hong Peng, Jun Wang, Wenping Yu
kNN-P: A kNN classifier optimized by P systems. Theor. Comput. Sci. 817 (2020)
Hong Peng, Tingting Bao, Xiaohui Luo, Jun Wang, Xiaoxiao Song, Agustín Riscos-Núñez, Mario J. Pérez-Jiménez
Dendrite P systems. Neural Networks 127 (2020)
Wenmei Yi, Zeqiong Lv, Hong Peng, Xiaoxiao Song, Jun Wang
Asynchronous Spiking Neural P Systems with Multiple Channels and Symbols. Comput. Informatics 39 (5) (2020)
Zeqiong Lv, Jiangheng Kou, Wenmei Yi, Hong Peng, Xioxiao Song, Jun Wang
Sequential Coupled Neural P Systems. Int. J. Unconv. Comput. 15 (3) (2020)
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)
Tingting Bao, Nan Zhou, Zeqiong Lv, Hong Peng, Jun Wang
Sequential dynamic threshold neural P systems. J. Membr. Comput. 2 (4) (2020)
Hong Peng, Jun Wang
Coupled Neural P Systems. IEEE Trans. Neural Networks Learn. Syst. 30 (6) (2019)
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 (2019)
Hong Peng, Jun Wang, Mario J. Pérez-Jiménez, Agustín Riscos-Núñez
Dynamic threshold neural P systems. Knowl. Based Syst. 163 (2019)
Qian Yang, Zeqiong Lv, Liucheng Liu, Hong Peng, Xiaoxiao Song, Jun Wang
Spiking neural P systems with multiple channels and polarizations. Biosyst. 185 (2019)
Liucheng Liu, Wenmei Yi, Qian Yang, Hong Peng, Jun Wang
Numerical P systems with Boolean condition. Theor. Comput. Sci. 785 (2019)
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) (2019)
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 (2019)
Chaozheng Bao, Hong Peng, Di He, Junning Wang
Adaptive fuzzy c-means clustering algorithm for interval data type based on interval-dividing technique. Pattern Anal. Appl. 21 (3) (2018)
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. (2018)
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) (2018)
Jinyu Yang, Ru Chen, Guozhou Zhang, Hong Peng, Jun Wang, Agustín Riscos-Núñez
A Kernel-Based Membrane Clustering Algorithm. Enjoying Natural Computing (2018)
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)
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) (2018)
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 (2017)
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 (2017)
Juan Hu, Guangchun Chen, Hong Peng, Jun Wang, Xiangnian Huang, Xiaohui Luo
A kNN classifier optimized by P systems. ICNC-FSKD (2017)
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) (2017)
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) (2017)
Jun Wang, Peng Shi, Hong Peng
Membrane computing model for IIR filter design. Inf. Sci. 329 (2016)
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)
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)
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)
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) (2016)
Hong Peng, Jun Wang, Mario J. Pérez-Jiménez
Optimal multi-level thresholding with membrane computing. Digit. Signal Process. 37 (2015)
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)
Jie Jin, Hui Liu, Fengjuan Wang, Hong Peng, Jun Wang
Parallel Implementation of P Systems for Data Clustering on GPU. BIC-TA (2015)
Hong Peng, Jun Wang, Mario J. Pérez-Jiménez, Agustin Riscos-Núñez
An unsupervised learning algorithm for membrane computing. Inf. Sci. 304 (2015)
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 (2015)
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 (2014)
Hong Peng, Jun Wang, Zulin Zhang
Audio watermarking scheme robust against desynchronization attacks based on kernel clustering. Multim. Tools Appl. 62 (3) (2013)
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 (2013)
Jun Wang, Peng Shi, Hong Peng, Mario J. Pérez-Jiménez, Tao Wang
Weighted Fuzzy Spiking Neural P Systems. IEEE Trans. Fuzzy Syst. 21 (2) (2013)
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) (2013)
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) (2013)
Jun Wang, Hong Peng
Adaptive fuzzy spiking neural P systems for fuzzy inference and learning. Int. J. Comput. Math. 90 (4) (2013)
Jun Wang, Hong Peng, Peng Shi
An optimal image watermarking approach based on a multi-objective genetic algorithm. Inf. Sci. 181 (24) (2011)
Hong Peng, Jun Wang
Optimal audio watermarking scheme using genetic optimization. Ann. des Télécommunications 66 (5-6) (2011)
Hong Peng, Jun Wang
Adaptive spiking neural P systems. ICNC (2010)
Tao Wang, Jun Wang, Hong Peng, Yanli Deng
Knowledge representation using fuzzy spiking neural P system. BIC-TA (2010)
Jun Wang, Hong Peng
Fuzzy knowledge representation based on an improving spiking neural P system. ICNC (2010)

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Publication Activity (10 Years)

Top Topics

Top Venues

Hong Peng