Huan Xie

Orcid: 0000-0002-5265-0051

Affiliations:
  • Chongqing University, Chongqing, China


According to our database1, Huan Xie authored at least 25 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

Online presence:

On csauthors.net:

Bibliography

2026
Survey on Learning-based Dynamic Fault Localization: From Traditional Machine Learning to Large Language Models.
ACM Comput. Surv., July, 2026

Unleashing the Potential of Coverage Representation in Deep Learning-Based Fault Localization.
IEEE Trans. Software Eng., April, 2026

Mutants Will Tell: Statistical Mutation-Based Multiple Fault Localization for Deep Learning Programs.
IEEE Trans. Software Eng., March, 2026

Enhanced Feature Representation via Hybrid Feature Fusion for Coincidental Correctness Detection.
IEEE Trans. Reliab., 2026

HiFlaky: Hierarchy-aware flakiness classification.
J. Syst. Softw., 2026

Test-free fault localization using large language models and a Transformer-Mamba hybrid architecture.
Inf. Softw. Technol., 2026

DeepFlaky: Deep hybrid representation learning for flaky test prediction.
Inf. Softw. Technol., 2026

2025
From Sparse to Structured: A Diffusion-Enhanced and Feature-Aligned Framework for Coincidental Correctness Detection.
Proceedings of the 40th IEEE/ACM International Conference on Automated Software Engineering, 2025

Sifting Truth from Coincidences: A Two-Stage Positive and Unlabeled Learning Model for Coincidental Correctness Detection.
Proceedings of the 40th IEEE/ACM International Conference on Automated Software Engineering, 2025

AgentTCP: A Collaborative Multi-Agent Framework for Change-Aware Test Case Prioritization.
Proceedings of the 32nd Asia-Pacific Software Engineering Conference, 2025

2024
Towards More Precise Coincidental Correctness Detection With Deep Semantic Learning.
IEEE Trans. Software Eng., December, 2024

Demystifying API misuses in deep learning applications.
Empir. Softw. Eng., April, 2024

Labelrepair: Sequence Labelling for Compilation Errors Repair.
Proceedings of the IEEE International Conference on Software Analysis, 2024

Flakyrank: Predicting Flaky Tests Using Augmented Learning to Rank.
Proceedings of the IEEE International Conference on Software Analysis, 2024

Combining Coverage and Expert Features with Semantic Representation for Coincidental Correctness Detection.
Proceedings of the 39th IEEE/ACM International Conference on Automated Software Engineering, 2024

2023
A light-weight data augmentation method for fault localization.
Inf. Softw. Technol., May, 2023

NeuralCCD: Integrating Multiple Features for Neural Coincidental Correctness Detection.
Proceedings of the IEEE International Conference on Software Analysis, 2023

Mitigating the Effect of Class Imbalance in Fault Localization Using Context-aware Generative Adversarial Network.
Proceedings of the 31st IEEE/ACM International Conference on Program Comprehension, 2023

Contrastive Coincidental Correctness Representation Learning.
Proceedings of the 34th IEEE International Symposium on Software Reliability Engineering, 2023

On the Reliability of Coverage Data for Fault Localization.
Proceedings of the 30th Asia-Pacific Software Engineering Conference, 2023

2022
Feature-FL: Feature-Based Fault Localization.
IEEE Trans. Reliab., 2022

BCL-FL: A Data Augmentation Approach with Between-Class Learning for Fault Localization.
Proceedings of the IEEE International Conference on Software Analysis, 2022

Context-based cluster fault localization.
Proceedings of the 30th IEEE/ACM International Conference on Program Comprehension, 2022

A Universal Data Augmentation Approach for Fault Localization.
Proceedings of the 44th IEEE/ACM 44th International Conference on Software Engineering, 2022

2021
Is the Ground Truth Really Accurate? Dataset Purification for Automated Program Repair.
Proceedings of the 28th IEEE International Conference on Software Analysis, 2021


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