Sungwon Kim
Ph.D. student in Graduate School of Data Science at KAIST.
![profile.png](/assets/img/profile.png)
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
Jul 1, 2024 |
A paper got accepted at KDD 2024 Workshop on Federated Learning. |
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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. |