2 papers
cs.LG2025
Multivariate Time Series Anomaly Detection by Capturing Coarse-Grained Intra- and Inter-Variate Dependencies
Yongzheng Xie, Hongyu Zhang, Muhammad Ali Babar
Multivariate time series anomaly detection is essential for failure management in web application operations, as it directly influences the effectiveness and timeliness of implemen…
cs.SE2024
LogSD: Detecting Anomalies from System Logs through Self-supervised Learning and Frequency-based Masking
Yongzheng Xie, Hongyu Zhang, Muhammad Ali Babar
Log analysis is one of the main techniques that engineers use for troubleshooting large-scale software systems. Over the years, many supervised, semi-supervised, and unsupervised l…