most citedAgentic Memory Enhanced Recursive Reasoning for Root Cause Localization in Microservices

2 citations · 4 across the 7 of their papers we have counts for

collaborators

10 papers

cs.SE20262 cited

Hypothesize-Then-Verify: Speculative Root Cause Analysis for Microservices with Pathwise Parallelism

Lingzhe Zhang, Tong Jia, Yunpeng Zhai +5

Microservice systems have become the backbone of cloud-native enterprise applications due to their resource elasticity, loosely coupled architecture, and lightweight deployment. Ye…

cs.SE20262 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

Generality Is Not Enough: Zero-Label Cross-System Log-Based Anomaly Detection via Knowledge-Level Collaboration

Xinlong Zhao, Tong Jia, Minghua He +1

Log-based anomaly detection is crucial for ensuring software system stability. However, the scarcity of labeled logs limits rapid deployment to new systems. Cross-system transfer h…

cs.SE2025

ZeroLog: Zero-Label Generalizable Cross-System Log-based Anomaly Detection

Xinlong Zhao, Tong Jia, Minghua He +2

Log-based anomaly detection is an important task in ensuring the stability and reliability of software systems. One of the key problems in this task is the lack of labeled logs. Ex…

cs.CL2025

MicroRemed: Benchmarking LLMs in Microservices Remediation

Lingzhe Zhang, Yunpeng Zhai, Tong Jia +6

Large Language Models (LLMs) integrated with agent-based reasoning frameworks have recently shown strong potential for autonomous decision-making and system-level operations. One p…

cs.LG2025

LogAction: Consistent Cross-system Anomaly Detection through Logs via Active Domain Adaptation

Chiming Duan, Minghua He, Pei Xiao +11

Log-based anomaly detection is a essential task for ensuring the reliability and performance of software systems. However, the performance of existing anomaly detection methods hea…