Seojin Kim

M.S. at KAIST

KAIST of AI

osikjs [AT] kaist.ac.kr

About

I am a third-year Ph.D. student 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 (major), Computer Science (double major), and Mathmatics (double major) at KAIST in 2021.

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)

Confidence-aware Denoised Fine-tuning of Off-the-shelf Models for Certified Robustness

Suhyeok Jang*, Seojin Kim*, Jinwoo Shin, Jongheon Jeong

Transactions on Machine Learning Research (TMLR), 2024

An Efficient Tokenization for Molecular Language Models

Seojin Kim, Jaehyun Nam, Jinwoo Shin

NeurIPS Workshop on AI for New Drug Modalities (NeurIPSW-AIDrugX), 2024

Data-Efficient Molecular Generation with Hierarchical Textual Inversion

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

International Conference on Machine Learning (ICML), 2024

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

Transactions on Machine Learning Research (TMLR), 2024

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

ECCV Workshop on Adversarial Robustness in the Real World (ECCVW-AROW), 2022

Confidence-aware Denoised Fine-tuning of Off-the-shelf Models for Certified Robustness

Suhyeok Jang*, Seojin Kim*, Jinwoo Shin, Jongheon Jeong

An Efficient Tokenization for Molecular Language Models

Seojin Kim, Jaehyun Nam, Jinwoo Shin

Data-Efficient Molecular Generation with Hierarchical Textual Inversion

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

Fragment-based Multi-view Molecular Contrastive Learning

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

Confidence-aware Training of Smoothed Classifiers for Certified Robustness

Jongheon Jeong*, Seojin Kim*, Jinwoo Shin

Education

Korea Advanced Institute of Science and Technology (KAIST)Sep. 2021 - Present

M.S. in Artificial Intelligence

Korea Advanced Institute of Science and Technology (KAIST)Mar. 2016 - Aug. 2021

B.S. in Chemistry (major), Computer Science (double major), and Mathematics (double major)

Experience

Winter InternshipDec. 2019 - Feb. 2020

SK hynix