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Liwei Meng

2 accepted papers

2026

I2E: Real-Time Image-to-Event Conversion for High-Performance Spiking Neural Networks

AAAI 2026technical

Spiking neural networks (SNNs) promise highly energy-efficient computing, but their adoption is hindered by a critical scarcity of event-stream data. This work introduces I2E, an algorithmic framework that resolves this bottleneck by converting static images into high-fidelity event streams. By simu

Cited by 0SourcePDFScholar
2024

A&B BNN: Add&Bit-Operation-Only Hardware-Friendly Binary Neural Network

CVPR 2024poster

Binary neural networks utilize 1-bit quantized weights and activations to reduce both the model's storage demands and computational burden. However advanced binary architectures still incorporate millions of inefficient and nonhardware-friendly full-precision multiplication operations. A&B BNN is pr…