Xiaohui Wan

Orcid: 0000-0001-6498-8570

According to our database1, Xiaohui Wan authored at least 16 papers between 2018 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
ARFT-Transformer: Modeling Metric Dependencies for Cross-Project Aging-Related Bug Prediction.
CoRR, January, 2026

ARFT-Transformer: Modeling metric dependencies for cross-project aging-related bug prediction.
J. Syst. Softw., 2026

2025
Towards Fault-Tolerant Deep Reinforcement Learning Systems: A Framework Based on N-Version Programming.
Proceedings of the 25th International Conference on Software Quality, 2025

2024
Adjusted Trust Score: A Novel Approach for Estimating the Trustworthiness of Software Defect Prediction Models.
IEEE Trans. Reliab., December, 2024

Data Complexity: A New Perspective for Analyzing the Difficulty of Defect Prediction Tasks.
ACM Trans. Softw. Eng. Methodol., July, 2024

Coverage-guided fuzzing for deep reinforcement learning systems.
J. Syst. Softw., April, 2024

DRLFailureMonitor: A Dynamic Failure Monitoring Approach for Deep Reinforcement Learning System.
Proceedings of the 35th IEEE International Symposium on Software Reliability Engineering, 2024

A Ray-based Asynchronous Distributed Parallel K-SVD Method.
Proceedings of the Twelfth International Conference on Advanced Cloud and Big Data, 2024

2023
Predicting Aging-Related Bugs Using Network Analysis on Aging-Related Dependency Networks.
IEEE Trans. Emerg. Top. Comput., 2023

BOSF-SVM: A thermal image-based fault diagnosis method of circuit boards.
J. Intell. Fuzzy Syst., 2023

A novel adaptive boundary weighted and synthetic minority oversampling algorithm for imbalanced datasets.
J. Intell. Fuzzy Syst., 2023

2022
SPE$^{2}$: Self-Paced Ensemble of Ensembles for Software Defect Prediction.
IEEE Trans. Reliab., 2022

AgentFuzz: Fuzzing for Deep Reinforcement Learning Systems.
Proceedings of the IEEE International Symposium on Software Reliability Engineering Workshops, 2022

2020
An empirical study of factors affecting cross-project aging-related bug prediction with TLAP.
Softw. Qual. J., 2020

2019
Supervised Representation Learning Approach for Cross-Project Aging-Related Bug Prediction.
Proceedings of the 30th IEEE International Symposium on Software Reliability Engineering, 2019

2018
A Theoretical Analysis on the Impacts of Misestimated Test Cases.
Proceedings of the 5th International Conference on Dependable Systems and Their Applications, 2018


  Loading...