Thanh Le-Cong

According to our database, Thanh Le-Cong authored at least 26 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Towards Reliable Evaluation of Neural Program Repair with Natural Robustness Testing.

Thanh Le-Cong, Dat Nguyen, Bach Le, Toby Murray

ACM Trans. Softw. Eng. Methodol., September, 2025

VulGuard: An Unified Tool for Evaluating Just-In-Time Vulnerability Prediction Models.

Duong Nguyen, Manh Tran-Duc, Thanh Le-Cong, Triet Huynh Minh Le, M. Ali Babar, Quyet-Thang Huynh

CoRR, July, 2025

Toward Realistic Evaluations of Just-In-Time Vulnerability Prediction.

Duong Nguyen, Thanh Le-Cong, Triet Huynh Minh Le, M. Ali Babar, Quyet-Thang Huynh

CoRR, July, 2025

From Empirical Evaluation to Context-Aware Enhancement: Repairing Regression Errors with LLMs.

Anh Ho, Thanh Le-Cong, Bach Le, Christine Rizkallah

CoRR, June, 2025

Mapping NVD Records to Their VFCs: How Hard is it?

Huu Hung Nguyen, Duc-Manh Tran, Yiran Cheng, Thanh Le-Cong, Hong Jin Kang, Ratnadira Widyasari, Lwin Khin Shar, Ouh Eng Lieh, Ting Zhang, David Lo

CoRR, June, 2025

Adversarial patch generation for automated program repair.

Abdulaziz Alhefdhi, Hoa Khanh Dam, Thanh Le-Cong, Bach Le, Aditya Ghose

Softw. Qual. J., March, 2025

Can LLMs Reason About Program Semantics? A Comprehensive Evaluation of LLMs on Formal Specification Inference.

Thanh Le-Cong, Bach Le, Toby Murray

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024

Leveraging Large Language Model for Automatic Patch Correctness Assessment.

Xin Zhou, Bowen Xu, Kisub Kim, DongGyun Han, Hung Huu Nguyen, Thanh Le-Cong, Junda He, Bach Le, David Lo

IEEE Trans. Software Eng., November, 2024

Refining ChatGPT-Generated Code: Characterizing and Mitigating Code Quality Issues.

Yue Liu, Thanh Le-Cong, Ratnadira Widyasari, Chakkrit Tantithamthavorn, Li Li, Xuan-Bach Dinh Le, David Lo

ACM Trans. Softw. Eng. Methodol., June, 2024

Semantic-guided Search for Efficient Program Repair with Large Language Models.

Thanh Le-Cong, Bach Le, Toby Murray

CoRR, 2024

Comparison of Static Application Security Testing Tools and Large Language Models for Repo-level Vulnerability Detection.

Xin Zhou, Duc-Manh Tran, Thanh Le-Cong, Ting Zhang, Ivana Clairine Irsan, Joshua Sumarlin, Bach Le, David Lo

CoRR, 2024

Evaluating Program Repair with Semantic-Preserving Transformations: A Naturalness Assessment.

Thanh Le-Cong, Dat Nguyen, Bach Le, Toby Murray

CoRR, 2024

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

Proceedings of the 28th International Conference on Evaluation and Assessment in Software Engineering, 2024

2023

Multi-Granularity Detector for Vulnerability Fixes.

Truong Giang Nguyen, Thanh Le-Cong, Hong Jin Kang, Ratnadira Widyasari, Chengran Yang, Zhipeng Zhao, Bowen Xu, Jiayuan Zhou, Xin Xia, Ahmed E. Hassan, Xuan-Bach Dinh Le, David Lo

IEEE Trans. Software Eng., August, 2023

Invalidator: Automated Patch Correctness Assessment Via Semantic and Syntactic Reasoning.

Thanh Le-Cong, Duc-Minh Luong, Xuan-Bach Dinh Le, David Lo, Nhat-Hoa Tran, Bui Quang Huy, Quyet-Thang Huynh

IEEE Trans. Software Eng., June, 2023

PatchZero: Zero-Shot Automatic Patch Correctness Assessment.

Xin Zhou, Bowen Xu, Kisub Kim, DongGyun Han, Thanh Le-Cong, Junda He, Bach Le, David Lo

CoRR, 2023

Topic Recommendation for GitHub Repositories: How Far Can Extreme Multi-Label Learning Go?

Ratnadira Widyasari, Zhipeng Zhao, Thanh Le-Cong, Hong Jin Kang, David Lo

Proceedings of the IEEE International Conference on Software Analysis, 2023

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

Proceedings of the 38th IEEE/ACM International Conference on Automated Software Engineering, 2023

CHRONOS: Time-Aware Zero-Shot Identification of Libraries from Vulnerability Reports.

Yunbo Lyu, Thanh Le-Cong, Hong Jin Kang, Ratnadira Widyasari, Zhipeng Zhao, Xuan-Bach Dinh Le, Ming Li, David Lo

Proceedings of the 45th IEEE/ACM International Conference on Software Engineering, 2023

2022

VulCurator: a vulnerability-fixing commit detector.

Truong Giang Nguyen, Thanh Le-Cong, Hong Jin Kang, Xuan-Bach Dinh Le, David Lo

Proceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2022

AutoPruner: transformer-based call graph pruning.

Thanh Le-Cong, Hong Jin Kang, Truong Giang Nguyen, Stefanus Agus Haryono, David Lo, Xuan-Bach Dinh Le, Huynh Quyet Thang

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.

Thanh-Dat Nguyen, Thanh Le-Cong, Duc-Minh Luong, Van-Hai Duong, Xuan-Bach Dinh Le, David Lo, Quyet-Thang Huynh

Proceedings of the IEEE International Conference on Software Maintenance and Evolution, 2022

Toward the Analysis of Graph Neural Networks.

Thanh-Dat Nguyen, Thanh Le-Cong, ThanhVu H. Nguyen, Xuan-Bach Dinh Le, Quyet-Thang Huynh

Proceedings of the 44th IEEE/ACM International Conference on Software Engineering: New Ideas and Emerging Results ICSE (NIER) 2022, 2022

2021

Usability and Aesthetics: Better Together for Automated Repair of Web Pages.

Thanh Le-Cong, Xuan-Bach Dinh Le, Huynh Quyet Thang, Phi Le Nguyen

Proceedings of the 32nd IEEE International Symposium on Software Reliability Engineering, 2021

2020

HSD Shared Task in VLSP Campaign 2019: Hate Speech Detection for Social Good.

Xuan-Son Vu, Thanh Vu, Mai-Vu Tran, Thanh Le-Cong, Huyen T. M. Nguyen

CoRR, 2020

SAFL: A Self-Attention Scene Text Recognizer with Focal Loss.

Bao Hieu Tran, Thanh Le-Cong, Huu Manh Nguyen, Duc Anh Le, Thanh-Hung Nguyen, Phi Le Nguyen

Proceedings of the 19th IEEE International Conference on Machine Learning and Applications, 2020