Difference between revisions of "KiYoon Yoo"

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	:서울대학교 융합과학기술대학원 석박사통합과정 (2019.09 ~ ) <br>		:서울대학교 융합과학기술대학원 석박사통합과정 (2019.09 ~ ) <br>
−	:서울대학교 식품생명공학 학사 졸업 (2019.08) <br>	+	:서울대학교 식품생명공학/산업공학 (부전공) 졸업 (2019.08) <br>
	<br>		<br>
−	:Tel: +82-10-2293-0499 <br>	+	:Tel: +82-31-888-9579 <br>
−	:e-mail: [mailto:bangawayoo@gmail.com bangawayoo@gmail.com] <br>	+	:e-mail: [mailto:961230@snu.ac.kr 961230@snu.ac.kr] <br>
	|-		|-
	|}		|}
		+
		+	== '''Publications''' ==
		+	:<font size = 3>''International Conferences'' </font><br>
		+	<ul>
		+	[1] '''KiYoon Yoo''', Jangho Kim, Jiho Jang, Nojun Kwak, "Detection of Word Adversarial Examples in Text Classification: Benchmark and Baseline via Robust Density Estimation", Findings of ACL 2022. <br>
		+	[2] 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<br>
		+	</ul>
		+
		+	<br>
		+
		+	:<font size = 3>''International Journals'' </font><br>
		+	<ul>
		+	[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.
		+	</ul>
		+	<br>
		+
		+	:<font size = 3>''Open Archive'' </font><br>
		+	<ul>
		+	[1] SeongUk Park, '''Kiyoon Yoo''' and Nojun Kwak, "On the Orthogonality of Knowledge Distillation with Other Techniques: From an Ensemble Perspective", arXiv, Sep. 2020.<br>
		+	[2] Sang-ho Lee, '''Kiyoon Yoo''', Nojun Kwak, "Asynchronous Edge Learning using Cloned Knowledge Distillation, arXiv, Oct. 2020.<br>
		+
		+	</ul>

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Revision as of 19:26, 18 March 2022

KiYoon Yoo (유기윤) 서울대학교 융합과학기술대학원 석박사통합과정 (2019.09 ~ ) 서울대학교 식품생명공학/산업공학 (부전공) 졸업 (2019.08) Tel: +82-31-888-9579 e-mail: 961230@snu.ac.kr

Publications

International Conferences

[1] KiYoon Yoo, Jangho Kim, Jiho Jang, Nojun Kwak, "Detection of Word Adversarial Examples in Text Classification: Benchmark and Baseline via Robust Density Estimation", Findings of ACL 2022.
[2] 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.