3 papers
cs.AI2026
An FPGA-Based Spiking Neural Network for Spatiotemporal Pattern Learning and Classification
Jingang Jin, Yue Ma, Zhenhang Zhang +1
Spiking Neural Networks (SNNs) are promising for energy-efficient spatiotemporal pattern recognition at the edge, but efficient deployment and on-device adaptation require speciali…
cs.CV2024
LVP-CLIP:Revisiting CLIP for Continual Learning with Label Vector Pool
Yue Ma, Huantao Ren, Boyu Wang +3
Continual learning aims to update a model so that it can sequentially learn new tasks without forgetting previously acquired knowledge. Recent continual learning approaches often l…
cs.NE2023
Neuromorphic Online Learning for Spatiotemporal Patterns with a Forward-only Timeline
Zhenhang Zhang, Jingang Jin, Haowen Fang +1
Spiking neural networks (SNNs) are bio-plausible computing models with high energy efficiency. The temporal dynamics of neurons and synapses enable them to detect temporal patterns…