Spiking neural self-attention network for sequence recommendation
Sequential recommendation plays an important role in providing a more personalized and
accurate recommendation experience, and helps users discover new content that they may …
accurate recommendation experience, and helps users discover new content that they may …
A deep echo-like spiking neural P systems for time series prediction
J He, H Peng, J Wang… - Knowledge-Based Systems, 2024 - Elsevier
The echo-like spiking neural P (ESNP) system is a variant of the echo-state network (ESN)
that integrates the nonlinear spiking neural P (NSNP) system. In this study, we propose a …
that integrates the nonlinear spiking neural P (NSNP) system. In this study, we propose a …
EdgeStereoSR: A multi-task network with transformers for stereo image super-resolution considering edge prior
A Liu, S Li, Y Chang, Y Hou - Signal Processing, 2025 - Elsevier
Recently, stereo image super-resolution methods focusing on exploring cross-view
information have been widely studied and achieved good performance. However, it is still …
information have been widely studied and achieved good performance. However, it is still …
Multi-stages attention breast cancer classification based on nonlinear spiking neural P neurons with autapses
Y Tang, B Yang, H Peng, X Luo - Engineering Applications of Artificial …, 2025 - Elsevier
Breast cancer (BC) is a prevalent type of malignant tumor in women. Early diagnosis and
treatment are vital for enhancing the patients' survival rate. A challenge is that …
treatment are vital for enhancing the patients' survival rate. A challenge is that …
SLP-Net: An efficient lightweight network for segmentation of skin lesions
Most existing convolutional neural networks achieve high segmentation accuracy while
neglecting the high hardware cost. In this paper, we integrate Spiking neural P-type (SNP …
neglecting the high hardware cost. In this paper, we integrate Spiking neural P-type (SNP …