Difference between revisions of "JaYeon Yoo"
From MIPAL
(→Work Experience) |
|||
Line 50: | Line 50: | ||
<li> | <li> | ||
Aug 2016 ~ Jul 2019: | Aug 2016 ~ Jul 2019: | ||
− | :Data | + | :Data Scientist for Recommender System at RECOBELL, Korea. |
</li> | </li> | ||
</ul> | </ul> |
Revision as of 11:24, 10 March 2021
JaYeon Yoo (유자연)
|
Research Interests
Computer Vision, Representation Learning, Domain Adaptation
Education
-
Sep. 2019 ~ Present:
- M.S./Ph.D. Student in Graduate School of Convergence Science and Technology, Seoul National University, Korea.
-
Jan. 2020 ~ May. 2020:
- Visiting Student in Language Technologies Institute School of Computer Science, Carnegie Mellon University, U.S.
-
Feb. 2019:
- B.S. in Industrial Management Engineering, POSTECH(Pohang University of Science and Technology), Korea.
Publications
- Hyojin Park, Jayeon Yoo, Seohyeong Jeong, Ganesh Venkatesh, Nojun Kwak, "Learning Dynamic Network Using a Reuse Gate Function in Semi-supervised Video Object Segmentation", CVPR 2021, June 2021, online, accepted
- 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, March 2021, accepted
Work Experience
-
Aug 2016 ~ Jul 2019:
- Data Scientist for Recommender System at RECOBELL, Korea.