Thanh Le-Cong

According to our database, Thanh Le-Cong authored at least 16 papers between 2020 and 2024.

Collaborative distances:

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

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

CoRR, 2024

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

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

CoRR, 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

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

CoRR, 2023

PatchZero: Zero-Shot Automatic Patch Correctness Assessment.

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