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 (ICMLA, 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)

Usability and Aesthetics: Better Together for Automated Repair of Web Pages. - Thanh Le-Cong; Xuan-Bach Dinh Le 001; Huynh Quyet Thang; Phi Le Nguyen (ISSRE, 2021)

Toward the Analysis of Graph Neural Networks. - Thanh-Dat Nguyen; Thanh Le-Cong; ThanhVu H. Nguyen; Xuan-Bach Dinh Le 001; Quyet-Thang Huynh (ICSE (NIER), 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 001; David Lo 001; Quyet-Thang Huynh (ICSME, 2022)

AutoPruner: transformer-based call graph pruning. - Thanh Le-Cong; Hong Jin Kang; Truong Giang Nguyen; Stefanus Agus Haryono; David Lo 001; Xuan-Bach Dinh Le 001; Huynh Quyet Thang (ESEC/SIGSOFT FSE, 2022)

VulCurator: a vulnerability-fixing commit detector. - Truong Giang Nguyen; Thanh Le-Cong; Hong Jin Kang; Xuan-Bach Dinh Le 001; David Lo 001 (ESEC/SIGSOFT FSE, 2022)

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 001; Ming Li 005; David Lo 001 (ICSE, 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 005; Changan Niu; Chenyu Wang 005; Bach Le 001; David Lo 001 (ASE, 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 001 (SANER, 2023)

PatchZero: Zero-Shot Automatic Patch Correctness Assessment. - Xin Zhou 014; Bowen Xu; Kisub Kim; DongGyun Han; Thanh Le-Cong; Junda He; Bach Le 001; David Lo 001 (CoRR, 2023)

Invalidator: Automated Patch Correctness Assessment Via Semantic and Syntactic Reasoning. - Thanh Le-Cong; Duc-Minh Luong; Xuan-Bach Dinh Le 001; David Lo 001; Nhat-Hoa Tran; Bui Quang Huy; Quyet-Thang Huynh (IEEE Trans. Software Eng., 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 001; Ahmed E. Hassan; Xuan-Bach Dinh Le 001; David Lo 001 (IEEE Trans. Software Eng., 2023)

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 001; Bach Le 001; Quyet-Thang Huynh (EASE, 2024)

Evaluating Program Repair with Semantic-Preserving Transformations: A Naturalness Assessment. - Thanh Le-Cong; Dat Nguyen; Bach Le 001; Toby Murray (CoRR, 2024)

Comparison of Static Application Security Testing Tools and Large Language Models for Repo-level Vulnerability Detection. - Xin Zhou 014; Duc-Manh Tran; Thanh Le-Cong; Ting Zhang 011; Ivana Clairine Irsan; Joshua Sumarlin; Bach Le 001; David Lo 001 (CoRR, 2024)

Semantic-guided Search for Efficient Program Repair with Large Language Models. - Thanh Le-Cong; Bach Le 001; Toby Murray (CoRR, 2024)

Refining ChatGPT-Generated Code: Characterizing and Mitigating Code Quality Issues. - Yue Liu 011; Thanh Le-Cong; Ratnadira Widyasari; Chakkrit Tantithamthavorn; Li Li 029; Xuan-Bach Dinh Le 001; David Lo 001 (ACM Trans. Softw. Eng. Methodol., 2024)

Leveraging Large Language Model for Automatic Patch Correctness Assessment. - Xin Zhou 014; Bowen Xu; Kisub Kim; DongGyun Han; Hung Huu Nguyen; Thanh Le-Cong; Junda He; Bach Le 001; David Lo 001 (IEEE Trans. Software Eng., 2024)

Can LLMs Reason About Program Semantics? A Comprehensive Evaluation of LLMs on Formal Specification Inference. - Thanh Le-Cong; Bach Le 001; Toby Murray (ACL (1), 2025)

Adversarial patch generation for automated program repair. - Abdulaziz Alhefdhi; Hoa Khanh Dam; Thanh Le-Cong; Bach Le 001; Aditya Ghose (Softw. Qual. J., 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 011; David Lo 001 (CoRR, 2025)

From Empirical Evaluation to Context-Aware Enhancement: Repairing Regression Errors with LLMs. - Anh Ho; Thanh Le-Cong; Bach Le 001; Christine Rizkallah (CoRR, 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, 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, 2025)

Towards Reliable Evaluation of Neural Program Repair with Natural Robustness Testing. - Thanh Le-Cong; Dat Nguyen; Bach Le 001; Toby Murray (ACM Trans. Softw. Eng. Methodol., 2025)