junseok0207,Junseok,ljs960207,github

Hi I'm Junseok Lee! 👋

I'm affiliated with the Data Science and Artificial Intelligence Laboratory (DSAIL) at the Korea Advanced Institute of Science and Technology (KAIST). Currently, I'm dedicated to obtaining a Ph.D. in Industrial & Systems Engineering. My primary research focus involves the application of machine learning to Bioinformatics, particularly in the context of Single-cell RNA sequencing data analysis.

My broader research interests encompass:

Graph Neural Networks
Self-Supervised Learning
Bioinformatics

Junseok's Projects

dsailatkaist.github.io

Awesome paper reviews about data mining (DM) and artificial intelligence (AI)

grafn

The official source code for "GraFN: Semi-Supervised Node Classification on Graph with Few Labels via Non-Parametric Distribution Assignment"

junseok0207.github.io

A content-first, sliding sidebar theme for Jekyll.

m3s_pytorch

Pytorch implementation of "Multi-Stage Self-Supervised Learning for Graph Convolutional Networks on Graphs with Few Labeled Nodes"

scbfp

The official source code for "Single-cell RNA-seq data imputation using Bi-level Feature Propagation", accepted at Briefings in Bioinformatics (Volume 25, May 2024).

scfp

The official source code for "Single-cell RNA-seq data imputation using Feature Propagation", accepted at 2023 ICML Workshop on Computational Biology (Best Paper, Contributed talk).

scgpcl

The official source code for "Deep single-cell RNA-seq data clustering with graph prototypical contrastive learning", accepted at Bioinformatics (Volume 39, June 2023) and 2023 ICML workshop on Computational Biology.

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