Seojin Kim

About

I am a second-year M.S. at Algorithmic Intelligence Laboratory (ALIN-LAB), advised by Prof. Jinwoo Shin at Korea Advanced Institute of Science and Technology (KAIST). I received my B.S. in Chemistry, Computer Science (double major), and Mathmatics (double major) at KAIST in 2022.

My primary research interests lie in the area of machine learning for drug discovery. Currently, my research focuses on molecular representation learning and molecule generation.

Publications (*: Equal contribution)

Data-Efficient Molecular Generation with Hierarchical Textual Inversion

Seojin Kim, Jaehyun Nam, Sihyun Yu, Younghoon Shin, Jinwoo Shin

NeurIPS Workshop on New Frontiers of AI for Drug Discovery and Development (NeurIPSW-AI4D3), 2023

Fragment-based Multi-view Molecular Contrastive Learning

Seojin Kim*, Jaehyun Nam*, Junsu Kim, Hankook Lee, Sungsoo Ahn, Jinwoo Shin

ICLR Workshop on Machine Leraning for Materials (ICLRW-ML4Materials), 2023

Confidence-aware Training of Smoothed Classifiers for Certified Robustness

Jongheon Jeong*, Seojin Kim*, Jinwoo Shin

AAAI Conference on Atrificial Intelligence (AAAI) 2023

Data-Efficient Molecular Generation with Hierarchical Textual Inversion

Seojin Kim, Jaehyun Nam, Sihyun Yu, Younghoon Shin, Jinwoo Shin

NeurIPS Workshop on New Frontiers of AI for Drug Discovery and Development (NeurIPSW-AI4D3), 2023

Fragment-based Multi-view Molecular Contrastive Learning

Seojin Kim*, Jaehyun Nam*, Junsu Kim, Hankook Lee, Sungsoo Ahn, Jinwoo Shin

ICLR Workshop on Machine Leraning for Materials (ICLRW-ML4Materials), 2023

Confidence-aware Training of Smoothed Classifiers for Certified Robustness

Jongheon Jeong*, Seojin Kim*, Jinwoo Shin

AAAI Conference on Atrificial Intelligence (AAAI) 2023