About

I am a Ph.D. student at Yonsei University, correctly conducting research at KAIST, where I relocated in February 2024 to continue working with my advisor, Prof. Noseong Park. My research interests span various areas, including graph neural networks, recommender systems, spatio-temporal forecasting, differential equations, and Transformers. I have developed graph-based deep learning methods inspired by differential equations in natural science, such as heat diffusion and reaction-diffusion equations. Recently, my focus on research has been extending the self-attention mechanism, the heart of Transformers, into the concept of graph signal processing.

I received my B.S. in Software Engineering from Jeonbuk National University (2016-2020) with Magna Cum Laude honors. During this time, I had the opportunity to be advised by Prof. Suntae Kim and Prof. Duksan Ryu.

My Erdős number is 4 through the following connection: Noseong Park → Sushil Jajodia → Yechezkel Zalcstein → Paul Erdős.

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Reviewer or Program Committee Member for Conference

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