10 citations · 27 across the 8 of their papers we have counts for
8 papers
Joint Time Series Chain: Detecting Unusual Evolving Trend across Time Series
Li Zhang, Nital Patel, Xiuqi Li +1
Time series chain (TSC) is a recently introduced concept that captures the evolving patterns in large scale time series. Informally, a time series chain is a temporally ordered set…
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…
LB-SimTSC: An Efficient Similarity-Aware Graph Neural Network for Semi-Supervised Time Series Classification
Wenjie Xi, Arnav Jain, Li Zhang +1
Time series classification is an important data mining task that has received a lot of interest in the past two decades. Due to the label scarcity in practice, semi-supervised time…
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…
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…
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…
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…
Efficient Discovery of Variable-length Time Series Motifs with Large Length Range in Million Scale Time Series
Yifeng Gao, Jessica Lin
Detecting repeated variable-length patterns, also called variable-length motifs, has received a great amount of attention in recent years. Current state-of-the-art algorithm utiliz…