Mingyi Huang

Mingyi Huang

The Ohio State University

HYDRA: A Multi-Level Hierarchy-Driven Approach for Robust Anomaly Detection in Time Series

Published in Proceedings of the ACM on Management of Data (SIGMOD 2026), 2026

Recommended citation: Mingyi Huang, Qinghua Liu, Paul Boniol, John Paparrizos. (2026). HYDRA: A Multi-Level Hierarchy-Driven Approach for Robust Anomaly Detection in Time Series. https://doi.org/10.1145/3788853.3801594

This paper presents HYDRA, a hierarchical approach for robust anomaly detection in time series.

Mingyi Huang, Qinghua Liu, Paul Boniol, John Paparrizos. (2026). HYDRA: A Multi-Level Hierarchy-Driven Approach for Robust Anomaly Detection in Time Series.