Wenwei Gu

Orcid: 0000-0003-1096-2732

According to our database1, Wenwei Gu authored at least 23 papers between 2021 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
KPIRoot+: An efficient integrated framework for anomaly detection and root cause analysis in large-scale cloud systems.
Empir. Softw. Eng., April, 2026

LogUpdater: Automated Detection and Repair of Specific Defects in Logging Statements.
ACM Trans. Softw. Eng. Methodol., January, 2026

2025
End-to-End Automated Logging via Multi-Agent Framework.
CoRR, November, 2025

CCISolver: End-to-End Detection and Repair of Method-Level Code-Comment Inconsistency.
CoRR, June, 2025

Larger Is Not Always Better: Exploring Small Open-source Language Models in Logging Statement Generation.
CoRR, May, 2025

Identifying Performance Issues in Cloud Service Systems Based on Relational-Temporal Features.
ACM Trans. Softw. Eng. Methodol., March, 2025

Towards Imperceptible Adversarial Attacks for Time Series Classification with Local Perturbations and Frequency Analysis.
CoRR, March, 2025

Adaptive Performance Regression Detection Using A Semi-Supervised Siamese Network.
Proceedings of the 40th IEEE/ACM International Conference on Automated Software Engineering, 2025

Integrating GraphSAGE and Mamba for Self-Supervised Spatio-Temporal Fault Detection in Microservice Systems.
Proceedings of the 36th IEEE International Symposium on Software Reliability Engineering, 2025

Too Many Cooks: Assessing the Need for Multi-Source Data in Microservice Failure Diagnosis.
Proceedings of the 36th IEEE International Symposium on Software Reliability Engineering, 2025

AetherLog: Log-based Root Cause Analysis by Integrating Large Language Models with Knowledge Graphs.
Proceedings of the 36th IEEE International Symposium on Software Reliability Engineering, 2025

ADAMAS: Adaptive Domain-Aware Performance Anomaly Detection in Cloud Service Systems.
Proceedings of the 47th IEEE/ACM International Conference on Software Engineering, 2025

LLMPrism: Black-box Performance Diagnosis for Production LLM Training Platforms.
Proceedings of the 2025 55th Annual IEEE/IFIP International Conference on Dependable Systems and Networks, 2025

Cordial: Cross-row Failure Prediction Method Based on Bank-level Error Locality for HBMs.
Proceedings of the 2025 55th Annual IEEE/IFIP International Conference on Dependable Systems and Networks, 2025

2024
Automated Defects Detection and Fix in Logging Statement.
CoRR, 2024

MTAD: Tools and Benchmarks for Multivariate Time Series Anomaly Detection.
CoRR, 2024

KPIRoot: Efficient Monitoring Metric-based Root Cause Localization in Large-scale Cloud Systems.
Proceedings of the 35th IEEE International Symposium on Software Reliability Engineering, 2024

Curvature-Invariant Adversarial Attacks for 3D Point Clouds.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
APIBench: A Benchmark Dataset for Evaluating API Recommendation Approaches in Python and Java.
Dataset, November, 2023

Revisiting, Benchmarking and Exploring API Recommendation: How Far Are We?
IEEE Trans. Software Eng., April, 2023

Performance Issue Identification in Cloud Systems with Relational-Temporal Anomaly Detection.
CoRR, 2023

2021
APIBench: A Benchmark Dataset for Evaluating API Recommendation Approaches in Python and Java.
Dataset, December, 2021

Experience Report: Deep Learning-based System Log Analysis for Anomaly Detection.
CoRR, 2021


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