Thanh Le-Cong
Orcid: 0000-0002-9566-324X
According to our database1,
Thanh Le-Cong
authored at least 18 papers
between 2020 and 2024.
Collaborative distances:
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Bibliography
2024
ACM Trans. Softw. Eng. Methodol., June, 2024
CoRR, 2024
Comparison of Static Application Security Testing Tools and Large Language Models for Repo-level Vulnerability Detection.
CoRR, 2024
Evaluating Program Repair with Semantic-Preserving Transformations: A Naturalness Assessment.
CoRR, 2024
LEGION: Harnessing Pre-trained Language Models for GitHub Topic Recommendations with Distribution-Balance Loss.
Proceedings of the 28th International Conference on Evaluation and Assessment in Software Engineering, 2024
2023
IEEE Trans. Software Eng., August, 2023
Invalidator: Automated Patch Correctness Assessment Via Semantic and Syntactic Reasoning.
IEEE Trans. Software Eng., June, 2023
Topic Recommendation for GitHub Repositories: How Far Can Extreme Multi-Label Learning Go?
Proceedings of the IEEE International Conference on Software Analysis, 2023
Proceedings of the 38th IEEE/ACM International Conference on Automated Software Engineering, 2023
CHRONOS: Time-Aware Zero-Shot Identification of Libraries from Vulnerability Reports.
Proceedings of the 45th IEEE/ACM International Conference on Software Engineering, 2023
2022
Proceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2022
Proceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2022
FFL: Fine-grained Fault Localization for Student Programs via Syntactic and Semantic Reasoning.
Proceedings of the IEEE International Conference on Software Maintenance and Evolution, 2022
Proceedings of the 44th IEEE/ACM International Conference on Software Engineering: New Ideas and Emerging Results ICSE (NIER) 2022, 2022
2021
Proceedings of the 32nd IEEE International Symposium on Software Reliability Engineering, 2021
2020
CoRR, 2020
Proceedings of the 19th IEEE International Conference on Machine Learning and Applications, 2020