2 papers
cs.NE2026
BASC : Behavior-Aligned Quantization and Pruning for Low-Bit Spiking Neural Networks
Linliang Chen, Yan Zhong, Xin Liu +2
Spiking Neural Networks (SNNs) encode information through binary spikes and compute in an event-driven manner, offering an energy-efficient paradigm for machine intelligence. Howev…
physics.app-ph2025
QUEST: A Quantized Energy-Aware SNN Training Framework for Multi-State Neuromorphic Devices
Sai Li, Linliang Chen, Yihao Zhang +6
Neuromorphic devices, leveraging novel physical phenomena, offer a promising path toward energy-efficient hardware beyond CMOS technology by emulating brain-inspired computation. H…