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Zhou Jie

3 accepted papers

2025

ReverB-SNN: Reversing Bit of the Weight and Activation for Spiking Neural Networks

ICML 2025poster

The Spiking Neural Network (SNN), a biologically inspired neural network infrastructure, has garnered significant attention recently. SNNs utilize binary spike activations for efficient information transmission, replacing multiplications with additions, thereby enhancing energy efficiency. However,…

Cited by 0SourcePDFScholar
2024

EnOF-SNN: Training Accurate Spiking Neural Networks via Enhancing the Output Feature

NeurIPS 2024poster

Spiking neural networks (SNNs) have gained more and more interest as one of the energy-efficient alternatives of conventional artificial neural networks (ANNs). They exchange 0/1 spikes for processing information, thus most of the multiplications in networks can be replaced by additions. However, bi…

Cited by 3SourcePDFScholar
2024

Take A Shortcut Back: Mitigating the Gradient Vanishing for Training Spiking Neural Networks

NeurIPS 2024poster

The Spiking Neural Network (SNN) is a biologically inspired neural network infrastructure that has recently garnered significant attention. It utilizes binary spike activations to transmit information, thereby replacing multiplications with additions and resulting in high energy efficiency. However,…

Cited by 3SourcePDFScholar