Qian Yang

According to our database, Qian Yang authored at least 32 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Nonlinear Spiking Neural Systems With Autapses for Predicting Chaotic Time Series.

Qian Liu, Hong Peng, Lifan Long, Jun Wang, Qian Yang, Mario J. Pérez-Jiménez, David Orellana-Martín

IEEE Trans. Cybern., March, 2024

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

Ronghao Xian, Xin Xiong, Hong Peng, Jun Wang, Antonio Ramírez-de-Arellano, Qian Yang

Pattern Recognit., March, 2024

Reservoir computing models based on spiking neural P systems for time series classification.

Hong Peng, Xin Xiong, Min Wu, Jun Wang, Qian Yang, David Orellana-Martín, Mario J. Pérez-Jiménez

Neural Networks, January, 2024

Sequence recommendation using multi-level self-attention network with gated spiking neural P systems.

Xinzhu Bai, Yanping Huang, Hong Peng, Jun Wang, Qian Yang, David Orellana-Martín, Antonio Ramírez-de-Arellano, Mario J. Pérez-Jiménez

Inf. Sci., January, 2024

Multi-level feature interaction image super-resolution network based on convolutional nonlinear spiking neural model.

Lulin Ye, Chi Zhou, Hong Peng, Jun Wang, Zhicai Liu, Qian Yang

Neural Networks, 2024

Gated graph spiking neural P network for session-based recommendation.

Xinzhu Bai, Lingyun Zhang, Mingtao Jiang, Hong Peng, Jun Wang, Qian Yang, Antonio Ramírez-de-Arellano

Knowl. Based Syst., 2024

K-order echo-type spiking neural P systems for time series forecasting.

Juan He, Hong Peng, Jun Wang, Qian Yang, Antonio Ramírez-de-Arellano

Neurocomputing, 2024

Time series classification models based on nonlinear spiking neural P systems.

Xin Xiong, Min Wu, Juan He, Hong Peng, Jun Wang, Xianzhong Long, Qian Yang

Eng. Appl. Artif. Intell., 2024

Sentence-level sentiment classification based on multi-attention bidirectional gated spiking neural P systems.

Yanping Huang, Xinzhu Bai, Qian Liu, Hong Peng, Qian Yang, Jun Wang

Appl. Soft Comput., 2024

2023

Gated Spiking Neural P Systems for Time Series Forecasting.

Qian Liu, Lifan Long, Hong Peng, Jun Wang, Qian Yang, Xiaoxiao Song, Agustín Riscos-Núñez, Mario J. Pérez-Jiménez

IEEE Trans. Neural Networks Learn. Syst., September, 2023

An Attention-Aware Long Short-Term Memory-Like Spiking Neural Model for Sentiment Analysis.

Qian Liu, Yanping Huang, Qian Yang, Hong Peng, Jun Wang

Int. J. Neural Syst., August, 2023

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

Yanping Huang, Qian Liu, Hong Peng, Jun Wang, Qian Yang, David Orellana-Martín

Expert Syst. Appl., July, 2023

Edge Detection Method Based on Nonlinear Spiking Neural Systems.

Ronghao Xian, Rikong Lugu, Hong Peng, Qian Yang, Xiaohui Luo, Jun Wang

Int. J. Neural Syst., January, 2023

Nonlinear spiking neural P systems with multiple channels.

Qian Yang, Xin Xiong, Hong Peng, Jun Wang, Xiaoxiao Song

Theor. Comput. Sci., 2023

Attention-enabled gated spiking neural P model for aspect-level sentiment classification.

Yanping Huang, Hong Peng, Qian Liu, Qian Yang, Jun Wang, David Orellana-Martín, Mario J. Pérez-Jiménez

Neural Networks, 2023

A Prediction Model Based on Gated Nonlinear Spiking Neural Systems.

Yujie Zhang, Qian Yang, Zhicai Liu, Hong Peng, Jun Wang

Int. J. Neural Syst., 2023

2022

Computational completeness of spiking neural P systems with inhibitory rules for generating string languages.

Nan Zhou, Hong Peng, Jun Wang, Qian Yang, Xiaohui Luo

Theor. Comput. Sci., 2022

Dynamic threshold P systems with delay on synapses for shortest path problems.

Silu Yang, Dong Li, Hong Peng, Wenjie Zhou, Xiaohui Luo, Qian Yang, Jun Wang, Xiaoxiao Song

Theor. Comput. Sci., 2022

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

Lifan Long, Qian Liu, Hong Peng, Jun Wang, Qian Yang

Neural Networks, 2022

LSTM-SNP: A long short-term memory model inspired from spiking neural P systems.

Qian Liu, Lifan Long, Qian Yang, Hong Peng, Jun Wang, Xiaohui Luo

Knowl. Based Syst., 2022

An unsupervised segmentation method based on dynamic threshold neural P systems for color images.

Yulong Cai, Siheng Mi, Jiahao Yan, Hong Peng, Xiaohui Luo, Qian Yang, Jun Wang

Inf. Sci., 2022

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

Lifan Long, Qian Liu, Hong Peng, Qian Yang, Xiaohui Luo, Jun Wang, Xiaoxiao Song

Int. J. Neural Syst., 2022

2021

Computational power of dynamic threshold neural P systems for generating string languages.

Yue Huang, Wenmei Yi, Hong Peng, Jun Wang, Xiaohui Luo, Qian Yang

Theor. Comput. Sci., 2021

Computational power of sequential dendrite P systems.

Tingting Bao, Qian Yang, Hong Peng, Xiaohui Luo, Jun Wang, Xiaoxiao Song

Theor. Comput. Sci., 2021

Computational power of sequential spiking neural P systems with multiple channels.

Zeqiong Lv, Qian Yang, Hong Peng, Xiaoxiao Song, Jun Wang

J. Membr. Comput., 2021

Nonlinear neural P systems for generating string languages.

Nan Zhou, Qian Yang, Hong Peng, Jun Wang, Xiaohui Luo

Inf. Comput., 2021

Computational completeness of sequential spiking neural P systems with inhibitory rules.

Tingting Bao, Nan Zhou, Hong Peng, Qian Yang, Jun Wang

Inf. Comput., 2021

Multi-focus image fusion approach based on CNP systems in NSCT domain.

Hong Peng, Bo Li, Qian Yang, Jun Wang

Comput. Vis. Image Underst., 2021

2020

Spiking neural P systems with structural plasticity and anti-spikes.

Qian Yang, Bo Li, Yue Huang, Hong Peng, Jun Wang

Theor. Comput. Sci., 2020

Small Universal Numerical P Systems with Thresholds for Computing Functions.

Liucheng Liu, Wenmei Yi, Qian Yang, Hong Peng, Jun Wang

Fundam. Informaticae, 2020

2019

Numerical P systems with Boolean condition.

Liucheng Liu, Wenmei Yi, Qian Yang, Hong Peng, Jun Wang

Theor. Comput. Sci., 2019

Spiking neural P systems with multiple channels and polarizations.

Qian Yang, Zeqiong Lv, Liucheng Liu, Hong Peng, Xiaoxiao Song, Jun Wang

Biosyst., 2019