Difference between revisions of "KiYoon Yoo"
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:서울대학교 융합과학기술대학원 석박사통합과정 (2019.09 ~ ) <br> | :서울대학교 융합과학기술대학원 석박사통합과정 (2019.09 ~ ) <br> | ||
− | :서울대학교 식품생명공학 | + | :서울대학교 식품생명공학/산업공학 (부전공) 졸업 (2019.08) <br> |
<br> | <br> | ||
− | :Tel: +82- | + | :Tel: +82-31-888-9579 <br> |
− | :e-mail: [mailto: | + | :e-mail: [mailto:961230@snu.ac.kr 961230@snu.ac.kr] <br> |
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|} | |} | ||
+ | |||
+ | == '''Publications''' == | ||
+ | :<font size = 3>''International Conferences'' </font><br> | ||
+ | <ul> | ||
+ | [1] '''KiYoon Yoo''', Nojun Kwak, ``Backdoor Attacks in Federated Learning by Rare Embeddings and Gradient Ensembling, EMNLP 2022 (Long Paper) (oral presentation). <br> | ||
+ | [2] '''KiYoon Yoo''', Nojun Kwak, "Backdoor Attacks in Federated Learning by Poisoned Word Embeddings", Workshop on Federated Learning for Natural Language Processing (FL4NLP) at ACL 2022, May 2022. <br> | ||
+ | [3] '''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 (Long Paper). <br> | ||
+ | [4] 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> |
Revision as of 14:24, 15 November 2022
KiYoon Yoo (유기윤)
|
Publications
- International Conferences
-
[1] KiYoon Yoo, Nojun Kwak, ``Backdoor Attacks in Federated Learning by Rare Embeddings and Gradient Ensembling, EMNLP 2022 (Long Paper) (oral presentation).
[2] KiYoon Yoo, Nojun Kwak, "Backdoor Attacks in Federated Learning by Poisoned Word Embeddings", Workshop on Federated Learning for Natural Language Processing (FL4NLP) at ACL 2022, May 2022.
[3] 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 (Long Paper).
[4] 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.