Redefining Maritime Anomaly Detection via Equation-Grounded Synthetic Anomalies

Youngseok Hwang*, Sungho Bae*, Dohun Lee, Jaeeun Seo, Jeehong Kim, Wonhee Lee, Hyunwoo Park

ACM SIGKDD, 2026Oral

• arXiv
• Code

AISFlow: Boundary-Informed Flow Matching for Long-Term AIS Trajectory Imputation

Sungho Bae, Youngseok Hwang, Geonwoo Lee, Jaeeun Seo, Dohun Lee, Hyunwoo Park

ICML Workshop on AI for Science, 2026

Under review at IEEE Transactions on Intelligent Transportation Systems (T-ITS)

• Paper

Beyond Tool Selection: Diagnosing Downstream Failures in MCP Tool-Using LLM Agents

Sungho Bae, Hyunwoo Park

ICML Workshop on Failure Modes in Agentic AI (FAGEN), 2026

• Paper

Spatio-Temporal Graphs Beyond Grids: Benchmark for Maritime Anomaly Detection

Jeehong Kim, Youngseok Hwang, Minchan Kim, Sungho Bae, Hyunwoo Park

NeurIPS Workshop on AI for Science, 2025Best Poster

• arXiv

STGVAD: Spatio-Temporal Graph-Based Vessel Behavior Anomaly Detection

Jeehong Kim, Minchan Kim, Youngseok Hwang, Sungho Bae, Deuk Jae Cho, Wonhee Lee, Hyunwoo Park

IEEE Access, 2025

• Paper

Socio-demographic Information Estimation via Smart Meter Data Analysis and Feature Selection

Sungho Bae, Gyeongho Seo, Euiseok Hwang

International Conference on ICT Convergence (ICTC), 2024

• Paper

Deep Learning-Based Short-Term Time Series Forecasting Modeling for Palm Oil Price Prediction

Sungho Bae, Myungsun Kim, Woohyuk Jung, Jihwan Woo

Information Systems Review, 2024

• Paper