Wenwei Gu

Orcid: 0000-0003-1096-2732

According to our database1, Wenwei Gu authored at least 17 papers between 2021 and 2025.

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

Timeline

Legend:

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Links

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Bibliography

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

KPIRoot+: An Efficient Integrated Framework for Anomaly Detection and Root Cause Analysis in Large-Scale Cloud Systems.
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

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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