collaborators

6 papers

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.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…

cs.SE2025

United We Stand: Towards End-to-End Log-based Fault Diagnosis via Interactive Multi-Task Learning

Minghua He, Chiming Duan, Pei Xiao +8

Log-based fault diagnosis is essential for maintaining software system availability. However, existing fault diagnosis methods are built using a task-independent manner, which fail…

cs.SE2025

Walk the Talk: Is Your Log-based Software Reliability Maintenance System Really Reliable?

Minghua He, Tong Jia, Chiming Duan +6

Log-based software reliability maintenance systems are crucial for sustaining stable customer experience. However, existing deep learning-based methods represent a black box for se…

cs.SE2025

From Few-Label to Zero-Label: An Approach for Cross-System Log-Based Anomaly Detection with Meta-Learning

Xinlong Zhao, Tong Jia, Minghua He +3

Log anomaly detection plays a critical role in ensuring the stability and reliability of software systems. However, existing approaches rely on large amounts of labeled log data, w…

cs.SE2025

Enhancing Web Service Anomaly Detection via Fine-grained Multi-modal Association and Frequency Domain Analysis

Xixuan Yang, Xin Huang, Chiming Duan +4

Anomaly detection is crucial for ensuring the stability and reliability of web service systems. Logs and metrics contain multiple information that can reflect the system's operatio…