Jaehyung Kim
I am a 4th year Ph.D. student at ALIN Lab, advised by Prof. Jinwoo Shin at Korea Advanced Institute of Science and Technology (KAIST). I received an M.S. in Electrical Engineering (Feb. 2019) and a B.S. in Mathematics (Feb. 2017) in KAIST.
My research goal is to build an effective machine learning (ML) pipeline to tackle various real-world problems. To this end, I have been focused on developing improved ML algorithms for applying it to more practical and challenging scenarios, e.g., low-resource, class-imbalanced, and semi-supervised learning. Recently, I'm interested in more extensive topics to achieve the goal, such as data-centric ML or human-in-loop ML.
Contact: jaehyungkim [at] kaist [dot] ac [dot] kr
Google Scholar, CV (update on 22.09)
Publications
(C: Conferences, P: Preprint, *: Equal contribution)
Ruyuan Wan, Jaehyung Kim, and Dongyeop Kang
AAAI Conference on Artificial Intelligence (AAAI) 2023 (Oral Presentation)
Sukmin Yun, Jaehyung Kim, Dongyoon Han, Hwanjun Song, Jung-Woo Ha, and Jinwoo Shin
Winners, Qualcomm Innovation Fellowship Korea 2022
Sukmin Yun, Hankook Lee, Jaehyung Kim, and Jinwoo Shin
Conference on Computer Vision and Pattern Recognition (CVPR) 2022 (Oral Presentation)
Jaehyung Kim, Dongyeop Kang, Sungsoo Ahn, and Jinwoo Shin
International Conference on Learning Representations (ICLR) 2022
Silver Prize, Samsung Humantech Paper Awards 2021
Winners, Qualcomm Innovation Fellowship Korea 2022
[C3] Spread Spurious Attribute: Improving Worst-group Accuracy with Spurious Attribute Estimation [pdf]
Junhyun Nam, Jaehyung Kim, Jaeho Lee, and Jinwoo Shin
International Conference on Learning Representations (ICLR) 2022
Jaehyung Kim, Youngbum Hur, Sejun Park, Eunho Yang, Sung Ju Hwang, and Jinwoo Shin
Jaehyung Kim*, Jongheon Jeong*, and Jinwoo Shin
Conference on Computer Vision and Pattern Recognition (CVPR) 2020
Kimin Lee, Jaehyung Kim, Song Chong, and Jinwoo Shin
arXiv preprint 2017
Education
Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Korea, Mar. 2019 - Present (adviser: Jinwoo Shin)
Ph.D. in Electrical Engineering
Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Korea, Mar. 2017 - Feb. 2019 (adviser: Jinwoo Shin)
M.S. in Electrical Engineering
Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Korea, Mar. 2012 - Feb. 2017 (Magna Cum Laude)
B.S. in Mathematics and Economics Program (Minor)
Experiences
Research Intern, Meta AI, Seattle, WA - with Madian Khabsa (May. 2022 - Aug. 2022)
Visiting Student, University of Minnesota (UMN), Minneapolis, MN - with Dongyeop Kang (Feb. 2022 - May. 2022)
Visiting Student, Samsung Advanced Institute of Technology (SAIT), Suwon, South Korea - with Eunho Yang and Sung Ju Hwang (Jan. 2020 - Mar. 2020)
Academic Services
Conference Reviewer
AAAI Conference on Artificial Intelligence (AAAI): 2021, 2022, 2023
Association for Computational Linguistics (ACL) Rolling Review: 2022, 2023
Conference on Computer Vision and Pattern Recognition (CVPR): 2023
Conference on Empirical Methods in Natural Language Processing (EMNLP): 2022
International Conference on Computer Vision (ICCV): 2023
International Conference on Learning Representations (ICLR): 2022, 2023
International Conference on Machine Learning (ICML): 2021, 2022, 2023
Neural Information Processing Systems (NeurIPS): 2021, 2022
Journal Reviewer
Transactions on Machine Learning Research (TMLR)
IEEE Transactions on Neural Networks and Learning Systems (TNNLS)
Invited Talks
Deep Learning with Imbalanced Datasets
Samsung Electronics Data & Information Technology Center (Oct. 2021)
Multi-aspect Analysis on Data Informativeness
Summer 2021 Presentation Minnesota NLP Group (Aug. 2021)
Distribution Aligning Refinery of Pseudo-label for Imbalanced Semi-supervised Learning
NeurIPS 2020 Social ML in Korea (Dec. 2020)