13 citations · 53 across the 14 of their papers we have counts for
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cs.NE2022★ 12 cited
Multi-Level Firing with Spiking DS-ResNet: Enabling Better and Deeper Directly-Trained Spiking Neural Networks
Lang Feng, Qianhui Liu, Huajin Tang +2
Spiking neural networks (SNNs) are bio-inspired neural networks with asynchronous discrete and sparse characteristics, which have increasingly manifested their superiority in low e…
cs.NE2022★ 1 cited
SPAIC: A Spike-based Artificial Intelligence Computing Framework
Chaofei Hong, Mengwen Yuan, Mengxiao Zhang +6
Neuromorphic computing is an emerging research field that aims to develop new intelligent systems by integrating theories and technologies from multi-disciplines such as neuroscien…
cs.LG2022
TinyLight: Adaptive Traffic Signal Control on Devices with Extremely Limited Resources
Dong Xing, Qian Zheng, Qianhui Liu +1
Recent advances in deep reinforcement learning (DRL) have largely promoted the performance of adaptive traffic signal control (ATSC). Nevertheless, regarding the implementation, mo…