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20242026
most citedMultivariate Log-based Anomaly Detection for Distributed Database

20 citations · 32 across the 6 of their papers we have counts for

collaborators

6 papers

cs.SE2026★ 2 cited

Agentic Memory Enhanced Recursive Reasoning for Root Cause Localization in Microservices

Lingzhe Zhang, Tong Jia, Yunpeng Zhai +5

As contemporary microservice systems become increasingly popular and complex-often comprising hundreds or even thousands of fine-grained, interdependent subsystems-they are experie…

cs.SE2025

A Survey of AIOps in the Era of Large Language Models

Lingzhe Zhang, Tong Jia, Mengxi Jia +7

As large language models (LLMs) grow increasingly sophisticated and pervasive, their application to various Artificial Intelligence for IT Operations (AIOps) tasks has garnered sig…

cs.DB2025

LogDB: Multivariate Log-based Failure Diagnosis for Distributed Databases (Extended from MultiLog)

Lingzhe Zhang, Tong Jia, Mengxi Jia +1

Distributed databases, as the core infrastructure software for internet applications, play a critical role in modern cloud services. However, existing distributed databases frequen…

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…