3 papers
cs.LG2022
Novelty Detection in Time Series via Weak Innovations Representation: A Deep Learning Approach
Xinyi Wang, Mei-jen Lee, Qing Zhao +1
We consider novelty detection in time series with unknown and nonparametric probability structures. A deep learning approach is proposed to causally extract an innovations sequence…
math.ST2021
As Easy as ABC: Adaptive Binning Coincidence Test for Uniformity Testing
Sudeep Salgia, Qing Zhao, Lang Tong
We consider the problem of uniformity testing of Lipschitz continuous distributions with bounded support. The alternative hypothesis is a composite set of Lipschitz continuous dist…
eess.SY2020
A Deep Learning Approach to Anomaly Sequence Detection for High-Resolution Monitoring of Power Systems
Kursat Rasim Mestav, Xinyi Wang, Lang Tong
A deep learning approach is proposed to detect data and system anomalies using high-resolution continuous point-on-wave (CPOW) or phasor measurements. Both the anomaly and anomaly-…