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ORCIDYejin Lee 0001
Person information
- affiliation: Seoul National University of Science and Technology, Department of Data Science, Korea
- unicode name: 이예진
Other persons with the same name
- Yejin Lee
- Yejin Lee 0002 — Gyeongsang National University, Jinju, Korea
- Yejin Lee 0003 — Korea University of Science and Technology, Daejeon, Korea
- Yejin Lee 0004 — Dankook University, Yongin, Korea
- Yejin Lee 0005 — Chungnam National University, Department of Clothing & Textiles, Daejeon, South Korea
- Yejin Lee 0006 — KOREATECH, Cheonan, Korea
- Yejin Lee 0007
![[0000-0003-3028-2718]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0003-3028-2718")
— Incheon National University, Department of Information and Telecommunication Engineering, South Korea - Yejin Lee 0008 — Konkuk University, Seoul, South Korea
- Yejin Lee 0009 — Hallym University, Chuncheon, South Korea
- Yejin Lee 0010 — Meta
- Yejin Lee 0011 — Washington University in St. Louis, AI for Health Institute, WA, USA
- Yejin Lee 0012 — Kyung Hee University, Department of Electronics and Information Convergence Engineering, Yongin, South Korea
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2020 – today
- 2023
[c7]Yejin Lee, Donghyun Lee, JungUk Hong, Jae W. Lee, Hongil Yoon:
Not All Neighbors Matter: Point Distribution-Aware Pruning for 3D Point Cloud. AAAI 2023: 1240-1249- [i1]Suho Lee, Seungwon Seo, Jihyo Kim, Yejin Lee, Sangheum Hwang:
Few-shot Fine-tuning is All You Need for Source-free Domain Adaptation. CoRR abs/2304.00792 (2023) - 2022
- [c6]Yejin Lee, Hyunji Choi, Sunhong Min, Hyunseung Lee, Sangwon Beak, Dawoon Jeong, Jae W. Lee, Tae Jun Ham:
ANNA: Specialized Architecture for Approximate Nearest Neighbor Search. HPCA 2022: 169-183 - 2021
- [j2]Sangwoo Lee, Yejin Lee, Geongyu Lee, Sangheum Hwang:
Supervised Contrastive Embedding for Medical Image Segmentation. IEEE Access 9: 138403-138414 (2021) - [j1]Tae Jun Ham, Yejin Lee, Seong Hoon Seo, U. Gyeong Song, Jae W. Lee, David Bruns-Smith, Brendan Sweeney, Krste Asanovic, Young H. Oh, Lisa Wu Wills:
Accelerating Genomic Data Analytics With Composable Hardware Acceleration Framework. IEEE Micro 41(3): 42-49 (2021) - [c5]Yejin Lee, Seong Hoon Seo, Hyunji Choi, Hyoung Uk Sul, Soosung Kim, Jae W. Lee, Tae Jun Ham:
MERCI: efficient embedding reduction on commodity hardware via sub-query memoization. ASPLOS 2021: 302-313 - [c4]Tae Jun Ham, Yejin Lee, Seong Hoon Seo, Soosung Kim, Hyunji Choi, Sung Jun Jung, Jae W. Lee:
ELSA: Hardware-Software Co-design for Efficient, Lightweight Self-Attention Mechanism in Neural Networks. ISCA 2021: 692-705 - 2020
- [c3]Jun Heo, Jaeyeon Won, Yejin Lee, Shivam Bharuka, Jaeyoung Jang, Tae Jun Ham, Jae W. Lee:
IIU: Specialized Architecture for Inverted Index Search. ASPLOS 2020: 1233-1245 - [c2]Tae Jun Ham, David Bruns-Smith, Brendan Sweeney, Yejin Lee, Seong Hoon Seo, U. Gyeong Song, Young H. Oh, Krste Asanovic, Jae W. Lee, Lisa Wu Wills:
Genesis: A Hardware Acceleration Framework for Genomic Data Analysis. ISCA 2020: 254-267
2010 – 2019
- 2019
- [c1]Jaeyoung Jang, Jun Heo, Yejin Lee, Jaeyeon Won, Seonghak Kim, Sungjun Jung, Hakbeom Jang, Tae Jun Ham, Jae W. Lee:
Charon: Specialized Near-Memory Processing Architecture for Clearing Dead Objects in Memory. MICRO 2019: 726-739
Coauthor Index
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