activity
20182022
most citedA Photonic-Circuits-Inspired Compact Network: Toward Real-Time Wireless Signal Classification at the Edge

6 citations · 11 across the 4 of their papers we have counts for

collaborators

8 papers

physics.app-ph20221 cited

Design Automation of Photonic Resonator Weights

Thomas Ferreira de Lima, Eli A. Doris, Simon Bilodeau +8

Neuromorphic photonic processors based on resonator weight banks are an emerging candidate technology for enabling modern artificial intelligence (AI) in high speed, analog systems…

physics.optics2022

Nanophotonic cavity based synapse for scalable photonic neural networks

Aashu Jha, Chaoran Huang, Thomas Ferriera deLima +3

The bandwidth and energy demands of neural networks has spurred tremendous interest in developing novel neuromorphic hardware, including photonic integrated circuits. Although an o…

eess.SP20216 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…

physics.app-ph20204 cited

A Laser Spiking Neuron in a Photonic Integrated Circuit

Mitchell A. Nahmias, Hsuan-Tung Peng, Thomas Ferreira de Lima +4

There has been a recent surge of interest in the implementation of linear operations such as matrix multipications using photonic integrated circuit technology. However, these appr…

cs.CL2020

Universal Adversarial Attacks with Natural Triggers for Text Classification

Liwei Song, Xinwei Yu, Hsuan-Tung Peng +1

Recent work has demonstrated the vulnerability of modern text classifiers to universal adversarial attacks, which are input-agnostic sequences of words added to text processed by c…

physics.app-ph2019

Noise Analysis of Photonic Modulator Neurons

Thomas Ferreira de Lima, Alexander N. Tait, Hooman Saeidi +5

Neuromorphic photonics relies on efficiently emulating analog neural networks at high speeds. Prior work showed that transducing signals from the optical to the electrical domain a…