Difference between revisions of "KiYoon Yoo"

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:<font size = 3>''International Journals'' </font><br>
 
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[1] Hojun Lee*, Donghwan Yun, Jayeon Yoo*, '''Kiyoon Yoo*''', Yong Chul Kim, Dong Ki Kim, Kook-Hwan Oh, Kwon Wook Joo, Yon Su Kim, Nojun Kwak*, Seung Seok Han, "Deep Learning Model for Real-Time Prediction of Intradialytic Hypotension", Clinical Journal of the American Society of Nephrology, Accepted.
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[1] Hojun Lee, Donghwan Yun, Jayeon Yoo, '''Kiyoon Yoo''', Yong Chul Kim, Dong Ki Kim, Kook-Hwan Oh, Kwon Wook Joo, Yon Su Kim, Nojun Kwak, Seung Seok Han, "Deep Learning Model for Real-Time Prediction of Intradialytic Hypotension", Clinical Journal of the American Society of Nephrology, Accepted.
 
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Revision as of 12:04, 6 April 2021

Kiyoonyoo.jpg KiYoon Yoo (유기윤)


서울대학교 융합과학기술대학원 석박사통합과정 (2019.09 ~ )
서울대학교 식품생명공학/산업공학 (부전공) 졸업 (2019.08)


Tel: +82-10-2293-0499
e-mail: 961230@snu.ac.kr

Publications

International Conferences
    [1] Jangho Kim, KiYoon Yoo, Nojun Kwak, "Position-based Scaled Gradient for Model Quantization and Sparse Training", Thirty-fourth Conference on Neural Information Processing Systems (NeurIPS 2020), Dec. 2020, Online


International Journals
    [1] Hojun Lee, Donghwan Yun, Jayeon Yoo, Kiyoon Yoo, Yong Chul Kim, Dong Ki Kim, Kook-Hwan Oh, Kwon Wook Joo, Yon Su Kim, Nojun Kwak, Seung Seok Han, "Deep Learning Model for Real-Time Prediction of Intradialytic Hypotension", Clinical Journal of the American Society of Nephrology, Accepted.


Open Archive
    [1] SeongUk Park, Kiyoon Yoo and Nojun Kwak, "On the Orthogonality of Knowledge Distillation with Other Techniques: From an Ensemble Perspective", arXiv, Sep. 2020.
    [2] Sang-ho Lee, Kiyoon Yoo, Nojun Kwak, "Asynchronous Edge Learning using Cloned Knowledge Distillation, arXiv, Oct. 2020.