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