Jaehyun Nam
Graduate student at KAIST
KAIST AI
jaehyun.nam [AT] kaist.ac.kr
About
I am a 1st year Ph.D. student at Korea Advanced Institute of Science and Technology (KAIST), advised by Prof. Jinwoo Shin. Prior to this, I received M.S. in Artificial Intelligence at KAIST under the supervision of Prof. Jinwoo Shin and B.S. in Industrial Engineering and Mathematical Sciences (minor) at Seoul National University (SNU) under the supervision of Prof. Jaewook Lee. My recent research interests focus on deep tabular learning and molecular representation learning.
Publications
(*: Equal contribution)
Sample-Efficient Molecular Generation with Hierarchical Textual Inversion
Seojin Kim, Jaehyun Nam, Sihyun Yu, Jinwoo Shin
Preprint
Semi-supervised Tabular Classification via In-context Learning of Large Language Models
Jaehyun Nam, Woomin Song, Seong Hyeon Park, Jihoon Tack, Sukmin Yun, Jaehyung Kim, Jinwoo Shin
ICML Workshop on Efficient Systems for Foundation Models (ICMLW-ES-FoMo), 2023
Fragment-based Multi-view Molecular Contrastive Learning
Seojin Kim*, Jaehyun Nam*, Junsu Kim, Hankook Lee, Sungsoo Ahn, Jinwoo Shin
ICLR Workshop on Machine Learning for Materials (ICLRW-ML4Materials), 2023
STUNT: Few-shot Tabular Learning with Self-generated Tasks from Unlabeled Tables
Jaehyun Nam, Jihoon Tack, Kyungmin Lee, Hankook Lee, Jinwoo Shin
International Conference on Learning Representations (ICLR), 2023, Spotlight Presentation (280/4956=5.6%)
NeurIPS Workshop on Table Representation Learning (NeurIPSW-TRL), 2022
Bronze Prize, Samsung Humantech Paper Awards, 2023
Google Conference Scholarships (APAC)
Travel Award
Grand Prize, KAIST-Samsung Electronics Industry-Academia Cooperation Paper Award, 2023
Sample-Efficient Molecular Generation with Hierarchical Textual Inversion
Seojin Kim, Jaehyun Nam, Sihyun Yu, Jinwoo Shin
Preprint
Semi-supervised Tabular Classification via In-context Learning of Large Language Models
Jaehyun Nam, Woomin Song, Seong Hyeon Park, Jihoon Tack, Sukmin Yun, Jaehyung Kim, Jinwoo Shin
ICML Workshop on Efficient Systems for Foundation Models (ICMLW-ES-FoMo), 2023
Fragment-based Multi-view Molecular Contrastive Learning
Seojin Kim*, Jaehyun Nam*, Junsu Kim, Hankook Lee, Sungsoo Ahn, Jinwoo Shin
ICLR Workshop on Machine Learning for Materials (ICLRW-ML4Materials), 2023
STUNT: Few-shot Tabular Learning with Self-generated Tasks from Unlabeled Tables
Jaehyun Nam, Jihoon Tack, Kyungmin Lee, Hankook Lee, Jinwoo Shin
International Conference on Learning Representations (ICLR), 2023, Spotlight Presentation (280/4956=5.6%)
Education
Korea Advanced Institute of Science and Technology (KAIST)Sep. 2023 - Present
Ph.D. in Artificial Intelligence
Korea Advanced Institute of Science and Technology (KAIST)Mar. 2022 - Aug. 2023
M.S. in Artificial Intelligence
Seoul National University (SNU)Mar. 2016 - Feb. 2022
B.S. in Industrial Engineering and Mathematical Sciences (minor)
Experience
Seoul National University (SNU)Mar. 2021 - Feb. 2022
Research Intern, hosted by Prof. Jung Hee Cheon
Korea Advanced Institute of Science and Technology (KAIST)Dec. 2020 - Jun. 2021
Research Intern, hosted by Prof. Chanyoung Park
SK HynixDec. 2020 - Feb. 2021
Intern, AI Solution
Industrial & Mathematical Data Analytics Research Center (IMDARC)Sep. 2020 - Dec. 2020
Research Intern, hosted by Prof. Woong Kook
Honors and Awards
Grand Prize ($5,000), KAIST-Samsung Electronics Industry-Academia Cooperation Paper Award Aug. 2023
Travel Award ($1,000), International Conference on Learning Representations (ICLR) May. 2023
Recipient ($3,000), Google Conference Scholarships (APAC) May. 2023
Bronze Prize ($5,000), Samsung Humantech Paper Awards Feb. 2023
Special Prize ($1,000), National Cryptograpy Contest Oct. 2021
Recipient ($6,000), Hanseong Scholarship for Gifted Students 2014 - 2016
Invited Talks
Semi-supervised Tabular Classification via In-context Learning of Large Language Models
Samsung Advanced Institue of Technology (Suwon, Korea)Jun. 2023
STUNT: Few-shot Tabular Learning with Self-generated Tasks from Unlabeled Tables
AI Expo Korea (Seoul, Korea)May. 2023
International Conference on Learning Representations (Kigali, Rwanda)May. 2023
Samsung Electronics Co., Ltd. (Virtual)Mar. 2023
MOGAM Institute for Biomedical Research (Virtual)Mar. 2023
Privacy-preserving Median Selection and Secure Aggregation in Federated Learning
Korean Mathematical Society Fall Meeting (Virtual)Oct. 2021
Special Prize, National Cryptography Contest, 2021