Publications
Notes: + equal contribution; S students under my supervisor/mentor; C corresponding author
| Year | Venue | Type | Title | Role | Topic |
|---|---|---|---|---|---|
| 2026 | ICSE |
Conference [CORE-A*] |
How Do Semantically Equivalent Code Transformations Impact Membership Inference on LLMs for Code? Hua Yang, Alejandro Velasco, Thanh Le-Cong, Md Nazmul Haque, Bowen Xu, Denys Poshyvanyk PDF Code |
Collaborator | AI Security |
| 2026 | ICSE |
Conference [CORE-A*] |
Memory-Efficient Large Language Models for Program Repair with Semantic-Guided Patch Generation Thanh Le-Cong, Bach Le, Toby Murray PDF Code |
First Author | Automated Bug Fixing |
| 2026 | Under Review | Preprint |
PatchGuru: Patch Oracle Inference from Natural Language Artifacts with Large Language Models Thanh Le-Cong, Bach Le, Toby Murray, Cristian Cadar, Michael Pradel PDF Code  Detected 12 unknown bugs in popular Python libraries
|
First Author | Automated Bug Fixing, Program Analysis & Software Testing |
| 2026 | Under Review | Preprint |
Perish or Flourish? A Holistic Evaluation of Large Language Models for Code Generation in Functional Programming Nguyet-Anh H. LangS, Eric LangS, Thanh Le-CongC, Bach Le Quyet-Thang Huynh PDF Code |
Corresponding Author | LLM Evaluation |
| 2025 | TOSEM |
Journal [Q1, IF: 6.6] |
Toward Reliable Evaluation of Neural Program Repair with Natural Robustness Testing Thanh Le-Cong, Dat Nguyen, Bach Le, Toby Murray PDFCode Dataset |
First Author | Automated Bug Fixing, LLM Evaluation |
| 2025 | SQJ |
Journal [Q2, IF: 2.3] |
Adversarial Patch Generation for Automated Program Repair Abdulaziz Alhefdhi, Hoa Khanh Dam, Thanh Le-Cong, Bach Le, Aditya Ghose |
Collaborator | Automated Bug Fixing |
| 2025 | ACL |
Conference [CORE-A*] |
Can LLMs Reason About Program Semantics? A Comprehensive Evaluation of LLMs on Formal Specification Inference Thanh Le-Cong, Bach Le, Toby Murray PDF Code Dataset |
First Author | |
| 2025 | ICSME |
Conference [CORE-A] |
Toward Realistic Evaluation of Just-In-Time Vulnerability Prediction Duong NguyenS, Thanh Le-CongC, Triet Huynh Minh Le, M. Ali Babar, Quyet-Thang Huynh PDF Code Dataset |
Corresponding Author | Vulnerability Detection & Security Analysis |
| 2025 | ICSME-Tool |
Short [CORE-A] |
VulGuard: An Unified Tool for Evaluating Just-In-Time Vulnerability Prediction Models Duong NguyenS, Duc-Manh Tran, Thanh Le-CongC, Triet Huynh Minh Le, M. Ali Babar, Quyet-Thang Huynh PDF Tool |
Corresponding Author | Vulnerability Detection & Security Analysis |
| 2025 | Under Review | Preprint |
Signature in Code Backdoor Detection, how far are we? Quoc Hung LeS, Thanh Le-Cong, Bach Le, Bowen Xu |
Collaborator | AI Security |
| 2025 | Under Review | Preprint |
PatchSeeker: Mapping NVD Records to their Vulnerability-fixing Commits with LLM Generated Commits and Embeddings Huu Hung NguyenS, Anh Tuan NguyenS, Thanh Le-Cong, Yikun Li, Han Wei Ang, Yide Yin, Frank Liauw, Shar Lwin Khin, Ouh Eng Lieh, Ting Zhang, David Lo Contributed unknown VFCs for 60+ CVEs in NVD
|
Collaborator | Vulnerability Detection & Security Analysis |
| 2025 | Major Revision at TOSEM | Preprint |
Mapping NVD Records to Their VFCs: An Exploratory Study Huu-Hung NguyenS, Duc-Manh TranS, Yiran Cheng, Thanh Le-Cong, Hong Jin Kang, Ratnadira Widyasari, Shar Lwin Khin, Ouh Eng Lieh, Ting Zhang, David Lo |
Collaborator | Vulnerability Detection & Security Analysis |
| 2025 | Major Revision at TOSEM | Preprint |
From Empirical Evaluation to Context-Aware Enhancement: Repairing Regression Errors with LLMs Anh HoS, Thanh Le-Cong, Bach Le, Christine Rizkallah |
Collaborator | Automated Bug Fixing |
| 2024 | TOSEM |
Journal [Q1, IF: 6.6] |
Refining ChatGPT-Generated Code: Characterizing and Mitigating Code Quality Issues Yue Liu, Thanh Le-Cong, Ratnadira Widyasari, Chakkrit Tantithamthavorn, Li Li, Bach Le, David Lo PDF Code  Presented at Journal-First Track of FSE 2025
|
Collaborator | |
| 2024 | TSE |
Journal [Q1, IF: 5.6] |
Leveraging Large Language Models for Automatic Patch Correctness Assessment Xin Zhou, Bowen Xu, Kisub Kim, DongGyun Han, Hung Nguyen, Thanh Le-Cong, Junda He, Bach Le, David Lo |
Collaborator | Automated Bug Fixing |
| 2024 | EASE |
Conference [CORE-A] |
LEGION: Harnessing Pre-trained Language Models for GitHub Topic Recommendations with Distribution-Balance Loss Yen-Trang Dang, Thanh Le-Cong, Phuc-Thanh Nguyen, Anh M. T. Bui, Phuong T. Nguyen, Bach Le, Quyet-Thang Huynh PDF Code |
Collaborator | NLBSE |
| 2024 | Major Revision at TOSEM | Preprint |
Comparison of static application security testing tools and large language models for repo-level vulnerability detection Xin Zhou, Duc-Manh TranS, Thanh Le-Cong, Ting Zhang, Ivana Clairine Irsan, Joshua Sumarlin, Bach Le, David Lo |
Collaborator | Vulnerability Detection & Security Analysis, LLM Evaluation |
| 2023 | TSE |
Journal [Q1, IF: 5.6] |
Invalidator: Automated Patch Correctness Assessment via Semantic and Syntactic Reasoning Thanh Le-Cong, Duc-Minh LuongS, Xuan Bach D. Le, David Lo, Nhat-Hoa Tran, Bui Quang-Huy PDF Code Presented at Journal-First Track of ICSE 2024
|
First Author | Automated Bug Fixing, Program Analysis & Software Testing |
| 2023 | TSE |
Journal [Q1, IF: 5.6] |
MiDas: Multi-granularity Model for Vulnerability-fixing Commit Classification Truong-Giang Nguyen, Thanh Le-Cong, Hong Jin Kang, Ratnadira Widyasari, Chengran Yang, Zhipeng Zhao, Bowen Xu, Jiayuan Zhou, Xin Xia, Ahmed E. Hassan, Bach Le, David Lo PDF Code |
Collaborator | Vulnerability Detection & Security Analysis |
| 2023 | SANER |
Conference [CORE-A] |
Extreme Multi-Label Learning for GitHub Topic Recommendation: How Far Are We? Ratnadira Widyasari, Zhipeng Zhao, Thanh Le-Cong, Hong Jin Kang, David Lo |
Collaborator | NLBSE |
| 2023 | ICSE |
Conference [CORE-A*] |
Chronos: Time-Aware Zero-Shot Identification of Libraries from Vulnerability Reports Yunbo Lyu+, Thanh Le-Cong+, Hong Jin Kang, Ratnadira Widyasari, Zhipeng Zhao, Bach Le, Ming Li, David Lo PDF Code |
First Author | Vulnerability Detection & Security Analysis |
| 2023 | ASE-NIER |
Short [CORE-A*] |
Are We Ready to Embrace Generative AI for Software Q&A? Bowen Xu, Thanh-Dat Nguyen, Thanh Le-Cong, Thong Hoang, Jiakun Liu, Kisub Kim, Chen Gong, Changan Niu, Chenyu Wang, Bach Le, David Lo |
Collaborator | LLM Evaluation |
| 2022 | FSE |
Conference [CORE-A*] |
AutoPruner: Transformer-based Call Graph Pruning Thanh Le-Cong, Hong Jin Kang, Truong Giang Nguyen, Stefanus Agus Haryono, David Lo, Bach Le, Huynh Quyet Thang PDF Code |
First Author | Program Analysis & Software Testing |
| 2022 | ICSME |
Conference [CORE-A] |
FFL: Fine-grained Fault Localization for Student Programs via Syntactic and Semantic Reasoning Thanh-Dat Nguyen, Thanh Le-Cong, Duc-Minh LuongS, Van-Hai Duong, Bach Le, David Lo PDF Code |
Collaborator | Program Analysis & Software Testing |
| 2022 | ICSE-NIER |
Short [CORE-A*] |
Towards the Analysis of Graph Neural Networks Thanh-Dat Nguyen+, Thanh Le-Cong+, ThanhVu H. Nguyen, Bach Le, Quyet-Thang Huynh |
First Author | |
| 2022 | ESEC/FSE-Tool |
Short [CORE-A*] |
VulCurator: A Vulnerability Fixing Commit Detector Truong-Giang Nguyen, Thanh Le-Cong, Hong Jin Kang, Bach Le, David Lo PDF Tool |
Collaborator | |
| 2021 | ISSRE |
Conference [CORE-A] |
Better Together for Automated Repair of Web Pages Thanh Le-Cong, Xuan Bach D. Le, Quyet Thang Huynh, Phi Le Nguyen |
First Author | Automated Bug Fixing |
| 2020 | InfoSys |
Journal [Q1, IF: 6.8] |
A multifactorial optimization paradigm for linkage tree genetic algorithm Thi Thanh Binh Huynh, Dinh Thanh Pham, Ba Trung Tran, Thanh Le-Cong, Minh Hai Phong Le, Ananthram Swami, Thu Lam Bui |
Collaborator | Others |
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