Triet Le Huynh Minh

Registered user since Fri 8 Mar 2019

Name:Triet Le Huynh Minh

Triet Le is a researcher in CREST (Centre for Research on Engineering Software Technologies) at the University of Adelaide. He obtained his Ph.D. from the University of Adelaide. His research interests are Mining Software Repositories, Software Security, especially in the area of software vulnerability analytics. His research currently focuses on providing automation and knowledge support for software vulnerability assessment using data-driven approaches based on Machine Learning, Deep Learning, and Natural Language Processing. He has published in top-quality (CORE A/A*) venues such as International Conference on Automated Software Engineering (ASE), ACM Computing Surveys (CSUR), International Conference on Mining Software Repositories (MSR), and International Conference on Evaluation and Assessment in Software Engineering (EASE). He has also served as a PC member in the MSR conferences and won the Distinguished Reviewer Award in MSR 2022.

Affiliation:The University of Adelaide
Personal website:
Research interests:Machine Learning, Mining Software Repositories, Software Analytics, Software Security, Vulnerability Assessment


ICSE 2024 Committee Member in Program Committee within the Demonstrations-track
AIOps 2023 Author of SoK: Machine Learning for Continuous Integration within the AIOps 2023-track
MSR 2023 Committee Member in Program Committee within the Technical Papers-track
SVM 2023 Session Chair of Opening and Keynote (part of SVM 2023)
Author of Opening within the SVM 2023-track
Committee Member in Organizing Committee within the SVM 2023-track
MSR4P&S 2022 Committee Member in Program Committee within the MSR4P&S 2022-track
MSR 2022 Committee Member in Program Committee within the Technical Papers-track
Committee Member in Data Showcase Committee within the Data and Tool Showcase Track-track
Committee Member in Shadow PC Advisors within the Shadow PC-track
Author of On the Use of Fine-grained Vulnerable Code Statements for Software Vulnerability Assessment Models within the Technical Papers-track
Session Chair of Session 10: Security (part of Technical Papers)
ASE 2021 Author of DeepCVA: Automated Commit-level Vulnerability Assessment with Deep Multi-task Learning within the Research Papers-track
EASE 2021 Author of A Large-scale Study of Security Vulnerability Support on Developer Q&A Websites within the EASE 2021-track
MSR 2021 Committee Member in Program Committee within the Technical Papers-track
MSR 2020 Author of PUMiner: Mining Security Posts from Developer Question and Answer Websites with PU Learning within the Technical Papers-track
MSR 2019 Author of Automated Software Vulnerability Assessment with Concept Drift within the MSR 2019 Technical Papers-track