Factorization for analog-to-digital matrix multiplication. - Edward H. Lee; Madeleine Udell; S. Simon Wong (ICASSP, 2015)

24.2 A 2.5GHz 7.7TOPS/W switched-capacitor matrix multiplier with co-designed local memory in 40nm. - Edward H. Lee; S. Simon Wong (ISSCC, 2016)

Convolutional Neural Networks using Logarithmic Data Representation. - Daisuke Miyashita; Edward H. Lee; Boris Murmann (CoRR, 2016)

LogNet: Energy-efficient neural networks using logarithmic computation. - Edward H. Lee; Daisuke Miyashita; Elaina Chai; Boris Murmann; S. Simon Wong (ICASSP, 2017)

Analysis and Design of a Passive Switched-Capacitor Matrix Multiplier for Approximate Computing. - Edward H. Lee; S. Simon Wong (IEEE J. Solid State Circuits, 2017)

Deep Learning with Attention to Predict Gestational Age of the Fetal Brain. - Liyue Shen; Katie S. Shpanskaya; Edward H. Lee; Emily McKenna; Maryam Maleki; Quin Lu; Safwan Halabi; John M. Pauly; Kristen W. Yeom (CoRR, 2018)

NanoBatch DPSGD: Exploring Differentially Private learning on ImageNet with low batch sizes on the IPU. - Edward H. Lee; Mario Michael Krell; Alexander Tsyplikhin; Victoria Rege; Errol Colak; Kristen W. Yeom (CoRR, 2021)

Deep COVID DeteCT: an international experience on COVID-19 lung detection and prognosis using chest CT. - Edward H. Lee; Jimmy Zheng; Errol Colak; Maryam Mohammadzadeh; Golnaz Houshmand; Nicholas Bevins; Felipe Kitamura; Emre Altinmakas; Eduardo Pontes Reis; Jae-Kwang Kim; Chad Klochko; Michelle Han; et al. (npj Digit. Medicine, 2021)

Federated Learning on Heterogenous Data using Chest CT. - Edward H. Lee; Brendan Kelly; Emre Altinmakas; Hakan Dogan; Errol Colak; Steve Fu; Olivia Choudhury; Ujjwal Ratan; Felipe Kitamura; Hernan Chaves; Mourad Said; Eduardo Pontes Reis; et al. (CoRR, 2023)