Edward H. Lee

According to our database, Edward H. Lee authored at least 9 papers between 2015 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

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, Jaekwang Lim, Patricia Yokoo, Corie Mitchell, Jimmy Zheng, Maryam Mohammadzadeh, Golnaz Houshmand, Wendy Qiu, Joel Hayden, Farnaz Rafiee, Chad Klochko, Nicholas Bevins, S. Simon Wong, Safwan Halabi, Kristen W. Yeom

CoRR, 2023

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, Sadegh Moradian, Ali Mohammadzadeh, Hashem Sharifian, Hassan Hashemi, Kavous Firouznia, Hossein Ghanaati, Masoumeh Gity, Hakan Dogan, Hojjat Salehinejad, Henrique Alves, Jayne Seekins, Nitamar Abdala, Çetin Atasoy, Hamidreza Pouraliakbar, Majid Maleki, S. Simon Wong, Kristen W. Yeom

npj Digit. Medicine, 2021

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

2018

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

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

LogNet: Energy-efficient neural networks using logarithmic computation.

Edward H. Lee, Daisuke Miyashita, Elaina Chai, Boris Murmann, S. Simon Wong

Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

2016

Convolutional Neural Networks using Logarithmic Data Representation.

Daisuke Miyashita, Edward H. Lee, Boris Murmann

CoRR, 2016

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

Proceedings of the 2016 IEEE International Solid-State Circuits Conference, 2016

2015

Factorization for analog-to-digital matrix multiplication.

Edward H. Lee, Madeleine Udell, S. Simon Wong

Proceedings of the 2015 IEEE International Conference on Acoustics, 2015