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20192026
most citedPhotonic spiking neural networks and CMOS-compatible graphene-on-silicon spiking neurons

69 citations · 189 across the 14 of their papers we have counts for

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Showing 2021Show all

5 papers · 1 filter

physics.app-ph2021★ 21 cited

Silicon photonic-electronic neural network for fibre nonlinearity compensation

Chaoran Huang, Shinsuke Fujisawa, Thomas Ferreira de Lima +12

In optical communication systems, fibre nonlinearity is the major obstacle in increasing the transmission capacity. Typically, digital signal processing techniques and hardware are…

physics.optics2021★ 69 cited

Photonic spiking neural networks and CMOS-compatible graphene-on-silicon spiking neurons

Aashu Jha, Chaoran Huang, Hsuan-Tung Peng +2

Spiking neural networks are known to be superior over artificial neural networks for their computational power efficiency and noise robustness. The benefits of spiking coupled with…

eess.SP2021★ 6 cited

A Photonic-Circuits-Inspired Compact Network: Toward Real-Time Wireless Signal Classification at the Edge

Hsuan-Tung Peng, Joshua Lederman, Lei Xu +5

Machine learning (ML) methods are ubiquitous in wireless communication systems and have proven powerful for applications including radio-frequency (RF) fingerprinting, automatic mo…

cs.ET2021

Prospects and applications of photonic neural networks

Chaoran Huang, Volker J. Sorger, Mario Miscuglio +13

Neural networks have enabled applications in artificial intelligence through machine learning, and neuromorphic computing. Software implementations of neural networks on convention…

physics.app-ph2021

Silicon microring synapses enable photonic deep learning beyond 9-bit precision

Weipeng Zhang, Chaoran Huang, Hsuan-Tung Peng +6

Deep neural networks (DNN) consist of layers of neurons interconnected by synaptic weights. A high bit-precision in weights is generally required to guarantee high accuracy in many…