Sungwon Kim

Ph.D. student in Graduate School of Data Science at KAIST.

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I’m a Ph.D. student in Graduate School of Data Science at KAIST, where I am fortunate to be advised by Prof. Chanyoung Park.

I’m actively on research with my best colleagues at Data Science and Artificial Intelligence Lab.

I am primarily focused on data mining and machine learning, with a particular interest in graph data analysis. My research is driven by exploring data-efficient methods that not only leverage the powerful performance of deep learning but also maintain applicability to training and inference time when applied to real-world scenarios.

  • Graph Neural Networks
  • Data-Efficient Deep Learning
  • Meta-Learning
  • Federated Learning
  • Anything related to the tasks that can be addressed in real-world scenarios!

News

May 15,
2024

A paper got accepted at KDD 2024.

May 1,
2024

A paper got accepted at ICML 2024.

Jan 23,
2024

A paper got accepted at WWW 2024.

Sep 21,
2023

Two papers got accepted at NeurIPS 2023.

Jun 30,
2023

A paper got accepted at ICML 2023 Workshop on Computational Biology.