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)

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

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)

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)

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)

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 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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

Unsupervised change detection using dynamic threshold neural P systems for SAR images. - Rikong Lugu; Qian Yang 002; Hong Peng 001 (Signal Image Video Process., 2025)