Author

Kaiwei Che

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Preprint Oct 2026

Parallel Time-Aligned Spiking Self-Attention for Consistent Integer-Valued Training and Spike-Driven Inference

Integer-valued leaky integrate-and-fire (I-LIF) neurons and spike firing approximation (SFA) reduce temporal training cost by representing spike trains as firing counts and normalized firing rates, respectively. However, applying spiking self-attention (SSA) directly to these compressed query, key, and value representa...

Peng Xue, Wei Fang, Kai-Wei Che et al. · 0 citations

#machine learning Jan 2024

Spikformer V2: Join the High Accuracy Club on ImageNet with an SNN Ticket

This work introduces a pioneering exploration of Self-Supervised Learning (SSL) within the SNN, and proposes a novel Spiking Self-Attention (SSA) and Spiking Transformer (Spikformer) that achieves 80+% accuracy on ImageNet.

Zhaokun Zhou, Kaiwei Che, Wei Fang et al. · arXiv.org · 69 citations · ⚡10