๐ฉ [email protected]
๐บ๏ธ Daejeon, South Korea
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Iโm 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. Iโm actively on research with my talented and enthusiastic colleagues at Data Science and Artificial Intelligence Lab.
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> ๐๏ธ $\textbf{News}$ โ๏ธย I received the Song Hyun Prize (Best Graduate Award) from KAIST. โ๏ธย A paper got accepted at WSDM 2025 (Oral). ****โ๏ธย A paper got accepted at CIKM 2023.
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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]
Class Label-aware Graph Anomaly Detection
Junghoon Kim, Yeonjun In, Kanghoon Yoon, Junmo Lee, Chanyoung Park
CIKM 2023 (Short Paper)ย - ACM International Conference on Information and Knowledge Management [paper][code]
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)
2025
Song Hyun Prize, KAIST
2024
Counter-Disinformation Challenge, KAIST - Institute for Security Convergence
2024
Poster Competition, KAIST
2021
IE Frontier Competition, KAIST
Spring 2021
Deanโs List, KAIST
Fall 2020
Academic Excellence Scholarship, KAIST