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Biography

About Me


I am a Ph.D student at Machine Learning and Intelligence Lab (MLILAB) at KAIST, under the guidance of Prof. Eunho Yang. My research interests are centered on the practical deployment of graph-structured data and graph neural networks (GNNs).

My work has involved graph sparsification techniques to mitigate the computational challenges of training large-scale graphs. Moreover, I have focused on calibrating GNNs to ensure their reliable utilization in downstream decision-making process. Recently, my primary focus is on addressing graph-related tasks under the supervision of large language models.

Education


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Korea Advanced Institute of Science and Technology (KAIST)

2023.02 - Present

  • M.S. & Ph.D integrated student
  • Kim Jaechul Graduate School of Artificial Intelligence
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Korea University (Seoul Campus)

2018.02 - 2022.08

  • Bachelor’s degree
  • History, Artificial Intelligence

Publications


TEDDY: Trimming Edges with Degree-based Discrimination strategY    paper

Hyunjin Seo*, Jihun Yun*, Eunho Yang (*: equal contribution)

ICLR 2024

PC-Adapter: Topology-Aware Adapter for Efficient Domain Adaption on Point Clouds with Rectified Pseudo Label    paper

Joonhyung Park, Hyunjin Seo, Eunho Yang

ICCV 2023

Efficient Subword Segmentation for Korean Language Classification

Hyunjin Seo*, Jeongjae Nam*, Minseok Kim* (*: equal contribution)

HCLT 2022

Analysis and Utilization of Hypergraph Neural Networks    paper

Hyunjin Seo, Seongjun Yun, Jaewoo Kang

KCC 2021 (Recipient of the Best Undergraduate Award)

Towards Precise Prediction Uncertainty in GNNs: Refining GNNs with Topology-grouping Strategy

Hyunjin Seo, Kyusung Seo*, Joonhyung Park*, Eunho Yang (*: equal contribution)

Under Review

Relation-aware Pseudo-labeling for Link Prediction with Graph Neural Networks

Hyunjin Seo*, Seongjun Yun*, Buru Chang, Jaewoo Kang (*: equal contribution)

Under Review

Research Experience


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Teaching Assistant

2023.09-2023.12

  • Machine Learning for Artificial Intelligence

Research Intern at Machine Learning and Intelligence Lab (MLILAB), KAIST

2022.04-2023.02

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Research Intern at Data Mining and Information Systems Lab (DMIS), Korea University

2021.01-2022.02

Projects and Awards


Projects

Predicting Food Product Satisfaction using Large Language Models

2023.05-2023.11, LAB-EAT

Molecule Property Prediction via 3D Graph Neural Networks

2024.02-Present, Samsung Electronics

Awards

Recipient of the Best Undergraduate Award (Acceptance Rate: 2.7%)

2021, Korea Computer Congress (KCC)

Great Honors Award

2019, 2020, 2021, Korea University

Contact


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