3 papers
q-bio.NC2025
NSPDI-SNN: An efficient lightweight SNN based on nonlinear synaptic pruning and dendritic integration
Wuque Cai, Hongze Sun, Jiayi He +5
Spiking neural networks (SNNs) are artificial neural networks based on simulated biological neurons and have attracted much attention in recent artificial intelligence technology s…
cs.LG2025
Toward Efficient Spiking Transformers: Synapse Pruning Meets Synergistic Learning-Based Compensation
Hongze Sun, Wuque Cai, Duo Chen +7
As a foundational architecture of artificial intelligence models, Transformer has been recently adapted to spiking neural networks with promising performance across various tasks.…
cs.CV2025
ST-FlowNet: An Efficient Spiking Neural Network for Event-Based Optical Flow Estimation
Hongze Sun, Jun Wang, Wuque Cai +6
Spiking Neural Networks (SNNs) have emerged as a promising tool for event-based optical flow estimation tasks due to their ability to leverage spatio-temporal information and low-p…