Triet Huynh Minh Le
Orcid: 0000-0003-1935-037X
According to our database1,
Triet Huynh Minh Le
authored at least 20 papers
between 2016 and 2024.
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Bibliography
2024
Report on the 5th International Workshop on Engineering and Cybersecurity of Critical Systems and 2nd International Workshop on Software Vulnerability Management (EnCyCriS/SVM - 2024).
ACM SIGSOFT Softw. Eng. Notes, October, 2024
Systematic Literature Review on Application of Learning-Based Approaches in Continuous Integration.
IEEE Access, 2024
Are Latent Vulnerabilities Hidden Gems for Software Vulnerability Prediction? An Empirical Study.
Proceedings of the 21st IEEE/ACM International Conference on Mining Software Repositories, 2024
Automated Code-centric Software Vulnerability Assessment: How Far Are We? An Empirical Study in C/C++.
Proceedings of the 18th ACM/IEEE International Symposium on Empirical Software Engineering and Measurement, 2024
Automatic Data Labeling for Software Vulnerability Prediction Models: How Far Are We?
Proceedings of the 18th ACM/IEEE International Symposium on Empirical Software Engineering and Measurement, 2024
Mitigating Data Imbalance for Software Vulnerability Assessment: Does Data Augmentation Help?
Proceedings of the 18th ACM/IEEE International Symposium on Empirical Software Engineering and Measurement, 2024
Software Vulnerability Prediction in Low-Resource Languages: An Empirical Study of CodeBERT and ChatGPT.
Proceedings of the 28th International Conference on Evaluation and Assessment in Software Engineering, 2024
2023
ACM Comput. Surv., 2023
Proceedings of the IEEE/ACM International Workshop on Cloud Intelligence & AIOps, 2023
2022
Towards an Improved Understanding of Software Vulnerability Assessment Using Data-Driven Approaches.
CoRR, 2022
On the Use of Fine-grained Vulnerable Code Statements for Software Vulnerability Assessment Models.
Proceedings of the 19th IEEE/ACM International Conference on Mining Software Repositories, 2022
2021
Deep Learning for Source Code Modeling and Generation: Models, Applications, and Challenges.
ACM Comput. Surv., 2021
Proceedings of the 26th IEEE Pacific Rim International Symposium on Dependable Computing, 2021
DeepCVA: Automated Commit-level Vulnerability Assessment with Deep Multi-task Learning.
Proceedings of the 36th IEEE/ACM International Conference on Automated Software Engineering, 2021
Proceedings of the EASE 2021: Evaluation and Assessment in Software Engineering, 2021
2020
Demystifying the Mysteries of Security Vulnerability Discussions on Developer Q&A Sites.
CoRR, 2020
PUMiner: Mining Security Posts from Developer Question and Answer Websites with PU Learning.
Proceedings of the MSR '20: 17th International Conference on Mining Software Repositories, 2020
2019
Proceedings of the 16th International Conference on Mining Software Repositories, 2019
2018
Linear support vector machine to classify the vibrational modes for complex chemical systems.
Proceedings of the 2nd International Conference on Machine Learning and Soft Computing, 2018
2016
Personalized Facets for Faceted Search Using Wikipedia Disambiguation and Social Network.
Proceedings of the Advanced Computational Methods for Knowledge Engineering, 2016