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YingLei Wang

3 accepted papers

2022

IM-Loss: Information Maximization Loss for Spiking Neural Networks

NeurIPS 2022accept

Spiking Neural Network (SNN), recognized as a type of biologically plausible architecture, has recently drawn much research attention. It transmits information by $0/1$ spikes. This bio-mimetic mechanism of SNN demonstrates extreme energy efficiency since it avoids any multiplications on neuromorphi…

Cited by 99SourcePDFScholar
2022

Real Spike: Learning Real-Valued Spikes for Spiking Neural Networks

ECCV 2022poster

"Brain-inspired spiking neural networks (SNNs) have recently drawn more and more attention due to their event-driven and energy efficient characteristics. The integration of storage and computation paradigm on neuromorphic hardwares makes SNNs much different from Deep Neural Networks (DNNs). In this…

2022

Reducing Information Loss for Spiking Neural Networks

ECCV 2022poster

"The Spiking Neural Network (SNN) has attracted more and more attention recently. It adopts binary spike signals to transmit information. Benefitting from the information passing paradigm of SNNs, the multiplications of activations and weights can be replaced by additions, which are more energy-effi…

Cited by 43SourcePDFScholar