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20182023
most citedEnsemble Grammar Induction For Detecting Anomalies in Time Series

2 citations · 4 across the 5 of their papers we have counts for

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cs.LG2023

PMP: Privacy-Aware Matrix Profile against Sensitive Pattern Inference for Time Series

Li Zhang, Jiahao Ding, Yifeng Gao +1

Recent rapid development of sensor technology has allowed massive fine-grained time series (TS) data to be collected and set the foundation for the development of data-driven servi…

cs.LG2022

Robust Time Series Chain Discovery with Incremental Nearest Neighbors

Li Zhang, Yan Zhu, Yifeng Gao +1

Time series motif discovery has been a fundamental task to identify meaningful repeated patterns in time series. Recently, time series chains were introduced as an expansion of tim…

cs.LG2020

Semantic Discord: Finding Unusual Local Patterns for Time Series

Li Zhang, Yifeng Gao, Jessica Lin

Finding anomalous subsequence in a long time series is a very important but difficult problem. Existing state-of-the-art methods have been focusing on searching for the subsequence…

cs.LG2020★ 2 cited

Ensemble Grammar Induction For Detecting Anomalies in Time Series

Yifeng Gao, Jessica Lin, Constantin Brif

Time series anomaly detection is an important task, with applications in a broad variety of domains. Many approaches have been proposed in recent years, but often they require that…

cs.LG2019★ 2 cited

Discovering Subdimensional Motifs of Different Lengths in Large-Scale Multivariate Time Series

Yifeng Gao, Jessica Lin

Detecting repeating patterns of different lengths in time series, also called variable-length motifs, has received a great amount of attention by researchers and practitioners. Des…