증명사진_2022.jpg

CONTACT


📩 [email protected]

🗺️ Daejeon, South Korea

SOCIALS


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👋🏼  Hello there!

I’m Junghoon Kim, a Ph.D. student in the Graduate School of Data Science at KAIST, where I have the great honor of being advised by Prof. Chanyoung Park. I’m actively on research with my talented and enthusiastic colleagues at Data Science and Artificial Intelligence Lab.

CV_Junghoon_Kim.pdf

🔥 Research Interests

I am focused on building robust and trustworthy AI systems for complex (e.g., graph-structured) data and applying GNNs to various real-world domains. My main interests include (but are not limited to):

<aside> 🗞️ $\textbf{News}$ ✔️ I gave a talk at KCC 2025 (Top Conference Session). ✔️ I gave a talk at KCC 2025 (KAIST Graph Foundation Model Workshop). ****✔️ I received the Song Hyun Prize (Best Graduate Award) from KAIST.

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📜 Selected Publications

Full publication list: Google Scholar

(*: equal contribution)


Revisiting Fake News Detection: Towards Temporality-aware Evaluation by Leveraging Engagement Earliness

Junghoon Kim*, Junmo Lee*, Yeonjun In, Kanghoon Yoon, Chanyoung Park

WSDM 2025 (Oral) - The 18th ACM International Conference on Web Search and Data Mining [paper][code][slides]

Selected as one of the best-ranked papers of WSDM 2025 for a fast-track journal invitation

Class Label-aware Graph Anomaly Detection

Junghoon Kim, Yeonjun In, Kanghoon Yoon, Junmo Lee, Chanyoung Park

CIKM 2023 (Short Paper) - ACM International Conference on Information and Knowledge Management [paper][code]

🎓 Education


2025.02 -

KAIST (Korea Advanced Institute of Science and Technology)

2023.02 - 2025.02

KAIST (Korea Advanced Institute of Science and Technology)

2018.02 - 2023.02

KAIST (Korea Advanced Institute of Science and Technology)

🏆 Honors and Awards


2025

SIGWEB Student Travel Award, WSDM 2025

2025

Song Hyun Prize, KAIST

2024

Counter-Disinformation Challenge, KAIST - Institute for Security Convergence

2024

Poster Competition, KAIST

2021