20 citations · 32 across the 6 of their papers we have counts for
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cs.SE2024★ 8 cited
Reducing Events to Augment Log-based Anomaly Detection Models: An Empirical Study
Lingzhe Zhang, Tong Jia, Kangjin Wang +3
As software systems grow increasingly intricate, the precise detection of anomalies have become both essential and challenging. Current log-based anomaly detection methods depend h…
cs.SE2024★ 2 cited
A Survey of AIOps for Failure Management in the Era of Large Language Models
Lingzhe Zhang, Tong Jia, Mengxi Jia +7
As software systems grow increasingly intricate, Artificial Intelligence for IT Operations (AIOps) methods have been widely used in software system failure management to ensure the…
cs.SE2024★ 20 cited
Multivariate Log-based Anomaly Detection for Distributed Database
Lingzhe Zhang, Tong Jia, Mengxi Jia +3
Distributed databases are fundamental infrastructures of today's large-scale software systems such as cloud systems. Detecting anomalies in distributed databases is essential for m…