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Sae Kyu Lee

Publication record assembled from the DBLP archive of ranked conferences.

Papers indexed

6

Venues

4

Active years

2012–2021

Best venue rank

A*

Where they publish

Papers

6 indexed papers, newest first.

YearVenueTitleAuthors
2021ISCARaPiD: AI Accelerator for Ultra-low Precision Training and Inference.Swagath Venkataramani, Vijayalakshmi Srinivasan, Wei Wang, Sanchari Sen, Jintao Zhang, Ankur Agrawal, Monodeep Kar, Shubham Jain, Alberto Mannari, Hoang Tran, Yulong Li, Eri Ogawa, Kazuaki Ishizaki, Hiroshi Inoue, Marcel Schaal, Mauricio J. Serrano, Jungwook Choi, Xiao Sun, Naigang Wang, Chia-Yu Chen, Allison Allain, James Bonanno, Nianzheng Cao, Robert Casatuta, Matthew Cohen, Bruce M. Fleischer, Michael Guillorn, Howard Haynie, Jinwook Jung, Mingu Kang, Kyu-Hyoun Kim, Siyu Koswatta, Sae Kyu Lee, Martin Lutz, Silvia M. Mueller, Jinwook Oh, Ashish Ranjan, Zhibin Ren, Scot Rider, Kerstin Schelm, Michael Scheuermann, Joel Silberman, Jie Yang, Vidhi Zalani, Xin Zhang, Ching Zhou, Matthew M. Ziegler, Vinay Shah, Moriyoshi Ohara, Pong-Fei Lu, Brian W. Curran, Sunil Shukla, Leland Chang, Kailash Gopalakrishnan
2018DACAres: a framework for quantifying the resilience of deep neural networks.Brandon Reagen, Udit Gupta, Lillian Pentecost, Paul N. Whatmough, Sae Kyu Lee, Niamh Mulholland, David M. Brooks, Gu-Yeon Wei
2017ACSSCSub-uJ deep neural networks for embedded applications.Paul N. Whatmough, Sae Kyu Lee, Gu-Yeon Wei, David M. Brooks
2016ISCAMinerva: Enabling Low-Power, Highly-Accurate Deep Neural Network Accelerators.Brandon Reagen, Paul N. Whatmough, Robert Adolf, Saketh Rama, Hyunkwang Lee, Sae Kyu Lee, Jos Miguel Hernndez-Lobato, Gu-Yeon Wei, David M. Brooks
2013ISLPEDCharacterizing and evaluating voltage noise in multi-core near-threshold processors.Xuan Zhang, Tao Tong, Svilen Kanev, Sae Kyu Lee, Gu-Yeon Wei, David M. Brooks
2012ISLPEDEvaluation of voltage stacking for near-threshold multicore computing.Sae Kyu Lee, David M. Brooks, Gu-Yeon Wei