About me

I am a fisrt year PhD student at KAIST in Machine Learning and Artificial Intelligence (MLAI) Lab, under Prof. Sung Ju Hwang.

My research interest is mainly on developing deep learning models for understanding graph-structured data and generating graph topology and geometry. I have been working on representation learning and generative model for graph with the application in the molecular graph. Here is my CV.

My research interests include:

• Drug discovery
• Molecular biology
• Generative model
• Graph representation learning

Email: cleverki [at] kaist [dot] ac [dot] kr

Conference

• Graph Generation with Diffusion Mixture

  [paper]
  ​Jaehyeong Jo*, Dongki Kim*, Sung Ju Hwang
  International Conference on Machine Learning (ICML), 2024
  Machine Learning for Drug Discovery Workshop at ICLR (MLDD @ ICLR), 2023 (Spotlight)

• Protein Representation Learning by Capturing Protein Sequence-Structure-Function Relationship

  [paper]
  ​Eunki Ko*, Seul Lee*, Minseon Kim*, Dongki Kim, Sung Ju Hwang*
  ICLR Machine Learning for Genomics Explorations Workshop (MLGenX @ ICLR), 2024 (Spotlight)

• Antibody-SGM: Antigen-Specific Joint Design of Antibody Sequence and Structure using Diffusion Models

  [paper]
  ​ Xuezhi Xie, Jin Sub Lee, Dongki Kim, Jaehyeong Jo, Jisun Kim, Philip M. Kim
  Computation Biology Workshop at ICML (CompBio @ ICML), 2023

• Graph Self-supervised Learning with Accurate Discrepancy Learning

  [paper]
  ​Dongki Kim*, Jinheon Baek*, Sung Ju Hwang
  Conference on Neural Information Processing Systems (NeurIPS), 2022

• Edge Representation Learning with Hypergraphs

  [paper]
  ​Jaehyeong Jo*, Jinheon Baek*, Seul Lee*, Dongki Kim, Minki Kang, Sung Ju Hwang
  Conference on Neural Information Processing Systems (NeurIPS), 2021