Zhang, Shenglin

LogAnomaly: Unsupervised Detection of Sequential and Quantitative Anomalies in Unstructured Logs

Meng, W., Liu, Y., Zhu, Y., Zhang, S., Pei, D., Liu, Y., Chen, Y., Zhang, R., Tao, S., Sun, P., et al. (2019) · Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence

Software System Performance and ReliabilityAnomaly Detection Techniques and Applications

Cited by 708

Unsupervised Detection of Microservice Trace Anomalies through Service-Level Deep Bayesian Networks

Liu, P., Xu, H., Ouyang, Q., Jiao, R., Chen, Z., Zhang, S., Yang, J., Mo, L., Zeng, J., Xue, W., et al. (2020) · 2020 IEEE 31st International Symposium on Software Reliability Engineering (ISSRE)

Software System Performance and ReliabilityAnomaly Detection Techniques and Applications

Cited by 252

Robust Failure Diagnosis of Microservice System Through Multimodal Data

Zhang, S., Jin, P., Lin, Z., Sun, Y., Zhang, B., Xia, S., Li, Z., Zhong, Z., Ma, M., Jin, W., et al. (2023) · IEEE Transactions on Services Computing

Software System Performance and ReliabilitySoftware Engineering Research

Cited by 118

Failure Diagnosis in Microservice Systems: A Comprehensive Survey and Analysis

Zhang, S., Xia, S., Fan, W., Shi, B., Xiong, X., Zhong, Z., Ma, M., Sun, Y., & Pei, D. (2026) · ACM Transactions on Software Engineering and Methodology

Software System Performance and ReliabilityDistributed systems and fault tolerance

Cited by 57

Assess and Summarize: Improve Outage Understanding with Large Language Models

Jin, P., Zhang, S., Ma, M., Li, H., Kang, Y., Li, L., Liu, Y., Qiao, B., Zhang, C., Zhao, P., et al. (2023) · Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering

Software System Performance and ReliabilityCloud Computing and Resource Management

Cited by 50

Efficient and Robust Trace Anomaly Detection for Large-Scale Microservice Systems

Zhang, S., Pan, Z., Liu, H., Jin, P., Sun, Y., Ouyang, Q., Wang, J., Jia, X., Zhang, Y., Yang, H., et al. (2023) · 2023 IEEE 34th International Symposium on Software Reliability Engineering (ISSRE)

Software System Performance and ReliabilityAnomaly Detection Techniques and Applications

Cited by 14

Constructing Large-Scale Real-World Benchmark Datasets for AIOps

Li, Z., Zhao, N., Zhang, S., Sun, Y., Chen, P., Wen, X., Ma, M., & Pei, D. (2022) · arXiv

Software System Performance and ReliabilityCloud Computing and Resource Management

Cited by 11

FlowXpert: Expertizing Troubleshooting Workflow Orchestration with Knowledge Base and Multi-Agent Coevolution

Shi, B., Luo, Y., Wang, J., Zhao, Y., Zhang, S., Hao, B., Zhao, C., Sun, Y., Zhang, Z., Sun, R., et al. (2025) · Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.2

Software System Performance and ReliabilityCloud Computing and Resource Management

Cited by 7

A comprehensive benchmark and empirical study of trace anomaly detection

Sun, Y., Shao, M., Nie, X., Yang, K., Li, X., Hao, B., Zhang, S., Pei, C., He, D., Li, Y., et al. (2025) · IEEE Transactions on Services Computing

Software System Performance and ReliabilityAnomaly Detection Techniques and Applications

Cited by 1

AIOpsLab in Action: An Open Platform for AIOps Research

Ma, M., Clark, J., & Zhang, S. (2025) · Proceedings of the 33rd ACM International Conference on the Foundations of Software Engineering

Software System Performance and ReliabilityCloud Computing and Resource Management

Cited by 0