About

I am currently a Ph.D. student at Yonsei University. I relocated to KAIST in February 2024 to continue my research with my advisor, Prof. Noseong Park, and am currently staying at KAIST. My research interests span a variety of areas, including graph neural networks, recommender systems, spatio-temporal forecasting, and differential equations. 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.

Previously, I completed my undergraduate studies at Jeonbuk National University (2016-2020), where I majored in software engineering. During this time, I had the opportunity to be advised by Prof. Suntae Kim and Prof. Duksan Ryu.

My Erdős number is 4: Noseong Park → Sushil Jajodia → Yechezkel Zalcstein → Paul Erdős.

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