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

Summary: HYDRA is an unsupervised, normalization-light detector combining graph-selected approximate nearest neighbors with fine-to-coarse, multi-resolution anomaly evidence. Its hierarchical ensemble robustly detects isolated and persistent anomalies, ranking first on 40 TSB-AD datasets while scaling to ultra-long series. (summarized by gpt-5.6-luna on Jul 26 2026)

Paper ID
7447
Venue
SIGMOD
Year
2026
Pagerank
5.093636e-05
Overall Rank
10,256 | 29.64%
DOI
10.1145/3802074

Incoming Non-self Citations Over Time

No non-self incoming citations found for this paper in this database.

Authors

BibTeX Citation

@inproceedings{huang_sigmod26,
        title = {{HYDRA: A Multi-Level Hierarchy-Driven Approach for Robust Anomaly Detection in Time Series}},
        author = {Huang, Mingyi and Liu, Qinghua and Boniol, Paul and Paparrizos, John},
        series = {{SIGMOD} '26},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3802074},
        url = {https://dl.acm.org/doi/10.1145/3802074},
        year = {2026}
}

Incoming Citations (Sorted by Pagerank)

Showing 2 of 2 citing papers.

Rank Citing Paper Year Venue Pagerank
10,271 MUFASA: Fast and Accurate Multivariate Time-Series Clustering 2026 SIGMOD 5.093636e-05
10,298 The Power of Anomaly Detection in Predictive Maintenance: [Experiments & Analysis] 2026 SIGMOD 5.093636e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 32 of 32 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank Cited Paper Year Venue Pagerank
142 LOF: Identifying Density-Based Local Outliers 2000 SIGMOD 0.0002962566
398 A Comprehensive Survey and Experimental Comparison of Graph-Based Approximate Nearest Neighbor Search 2021 VLDB 0.00019194947
578 Efficient Algorithms for Mining Outliers from Large Data Sets 2000 SIGMOD 0.00016221871
1,029 Anomaly Detection in Time Series: A Comprehensive Evaluation 2022 VLDB 0.00012557065
1,557 Distance-based Outlier Detection in Data Streams 2016 VLDB 0.00010367451
1,579 k-Shape: Efficient and Accurate Clustering of Time Series 2015 SIGMOD 0.00010305183
1,805 SAND: Streaming Subsequence Anomaly Detection 2021 VLDB 9.7116108e-05
2,004 TSB-UAD: An End-to-End Benchmark Suite for Univariate Time-Series Anomaly Detection 2022 VLDB 9.3207067e-05
2,023 Decomposed Bounded Floats for Fast Compression and Queries 2021 VLDB 9.2950046e-05
2,346 Series2Graph: Graph-based Subsequence Anomaly Detection for Time Series 2020 VLDB 8.7168932e-05
3,447 Volume Under the Surface: A New Accuracy Evaluation Measure for Time-Series Anomaly Detection 2022 VLDB 7.4085215e-05
3,987 Choose Wisely: An Extensive Evaluation of Model Selection for Anomaly Detection in Time Series 2023 VLDB 6.9722766e-05
4,234 GRAIL: Efficient Time-Series Representation Learning 2019 VLDB 6.8171563e-05
4,604 Debunking Four Long-Standing Misconceptions of Time-Series Distance Measures 2020 SIGMOD 6.6104585e-05
5,622 Good to the Last Bit: Data-Driven Encoding with CodecDB 2021 SIGMOD 6.1461066e-05
6,061 VergeDB: A Database for IoT Analytics on Edge Devices 2021 CIDR 5.9910733e-05
8,000 PIDS: Attribute Decomposition for Improved Compression and Query Performance in Columnar Storage 2020 VLDB 5.5092344e-05
9,448 Theseus: Navigating the Labyrinth of Time-Series Anomaly Detection 2022 VLDB 5.2665425e-05
9,477 Odyssey: An Engine Enabling The Time-Series Clustering Journey 2023 VLDB 5.2634238e-05
9,733 SPARTAN: Data-Adaptive Symbolic Time-Series Approximation 2025 SIGMOD 5.227679e-05
10,271 MUFASA: Fast and Accurate Multivariate Time-Series Clustering 2026 SIGMOD 5.093636e-05
10,298 The Power of Anomaly Detection in Predictive Maintenance: [Experiments & Analysis] 2026 SIGMOD 5.093636e-05
10,747 A Structured Study of Multivariate Time-Series Distance Measures 2025 SIGMOD 5.093636e-05
10,961 BURST: Rendering Clustering Techniques Suitable for Evolving Streams 2025 VLDB 5.093636e-05
10,977 TSB-AutoAD: Towards Automated Solutions for Time-Series Anomaly Detection 2025 VLDB 5.093636e-05
10,978 Time-Series Clustering: A Comprehensive Study of Data Mining, Machine Learning, and Deep Learning Methods 2025 VLDB 5.093636e-05
10,980 Beyond Compression: A Comprehensive Evaluation of Lossless Floating-Point Compression 2025 VLDB 5.093636e-05
11,056 EasyAD: A Demonstration of Automated Solutions for Time-Series Anomaly Detection 2025 VLDB 5.093636e-05
11,300 Time-Series Anomaly Detection: Overview and New Trends 2024 VLDB 5.093636e-05
11,435 Accelerating Similarity Search for Elastic Measures: A Study and New Generalization of Lower Bounding Distances 2023 VLDB 5.093636e-05
13,342 SAIL: A Voyage to Symbolic Approximation Solutions for Time-Series Analysis 2025 VLDB -
13,463 SAND in Action: Subsequence Anomaly Detection for Streams 2021 VLDB -
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