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Talks
This page lists my invited talks, lectures, tutorials, and presentations at academic and industrial venues.
Invited Talks & Guest Lectures
Guest Lecture
“Tackling Over-smoothing and Over-squashing in Deep Learning on Graphs”, UNIST, invited by Yeonchang Lee, Nov 27, 2025 (1 hour).
Invited Talk [Slides]
“Tackling Over-smoothing and Over-squashing in Deep Learning on Graphs”, “Making Decisions with AI” seminar, Pusan National University, Nov 19, 2025.
Guest Lecture
“Deep Learning on Graphs”, Sungshin Women's University, invited by Jonggu Kang, Oct 23, 2025 (3 hours).
Topics: Graph Theory and Network Analysis, Graph Neural Networks, Advanced Topics in GNNs.
Conference & Workshop Talks
Talk at the Early-Career Researcher Session [Slides]
“Toward Graph Foundation Models via Synthetic Graph Priors”, 신진연구자 최신연구소개 (Emerging Researchers’ Recent Research Session), Korea Computer Congress (KCC 2026), Jun 24, 2026.
Talk at the Top-Conference Session [Slides]
“Learning Posterior Predictive Distributions for Node Classification from Synthetic Graph Priors” (ICLR 2026), Korea Computer Congress (KCC 2026), Jun 24, 2026.
Talk at the Top-Conference Session [Certificate of Appreciation]
“GREAD: Graph Neural Reaction-Diffusion Networks” (ICML 2023), Korea Software Congress (KSC 2023), Dec 22, 2023.
Talk at the Top-Conference Session [Slides] [Certificate of Appreciation]
“Blurring-Sharpening Process Models for Collaborative Filtering” (SIGIR 2023), Korea Computer Congress (KCC 2023), Jun 18, 2023.
Oral Presentation [Slides] [Poster]
“Graph Neural Controlled Differential Equations for Traffic Forecasting” (AAAI 2022), The 1st Workshop on AI, Yonsei University, Oct 8, 2022.
Talk at the Top-Conference Session [Slides] [Certificate of Appreciation]
“Graph Neural Controlled Differential Equations for Traffic Forecasting” (AAAI 2022), Korea Computer Congress (KCC 2022), Jul 1, 2022.
Tutorials & Schools
Posters
Community Talks
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