Publications

Dagger(†) means equal contribution.

  1. KDD
    (AI for Science Track)
    Redefining Maritime Anomaly Detection via Equation-Grounded Synthetic Anomalies
    Youngseok Hwang†, Sungho Bae†, Dohun Lee, and 4 more authors
    In ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2026
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  2. NeurIPS-W
    Spatio-Temporal Graphs Beyond Grids: Benchmark for Maritime Anomaly Detection
    Jeehong Kim†, Youngseok Hwang†, Minchan Kim, and 2 more authors
    In NeurIPS Workshop in AI for Science: The Reach and Limits of AI for Scientific Discovery, 2025
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  3. AAAI-W
    Adaptive Sparsified Graph Learning Framework for Vessel Behavior Anomalies
    Jeehong Kim†, Minchan Kim†, Jaeseong Ju, and 3 more authors
    In AAAI Workshop in Anomaly Detection in Scientific Domains, 2025
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  4. IEEE Access
    STGVAD: Spatio-Temporal Graph-based Vessel Behavior Anomaly Detection
    Jeehong Kim†, Minchan Kim†, Youngseok Hwang, and 4 more authors
    IEEE Access, 2025
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  5. PLoS One
    FURIOUS: Fully unified risk-assessment with interactive operational user system for vessels
    Yooyeun Kim†, Jeehong Kim†, Wonhee Lee, and 2 more authors
    PLoS One, 2025
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