| Linevul: A transformer-based line-level vulnerability prediction M Fu, C Tantithamthavorn Proceedings of the 19th International Conference on Mining Software …, 2022 | 289 | 2022 |
| VulRepair: a T5-based automated software vulnerability repair M Fu, C Tantithamthavorn, T Le, V Nguyen, D Phung Proceedings of the 30th ACM joint european software engineering conference …, 2022 | 191 | 2022 |
| Chatgpt for vulnerability detection, classification, and repair: How far are we? M Fu, CK Tantithamthavorn, V Nguyen, T Le 2023 30th Asia-Pacific Software Engineering Conference (APSEC), 632-636, 2023 | 78 | 2023 |
| Pyexplainer: Explaining the predictions of just-in-time defect models C Pornprasit, C Tantithamthavorn, J Jiarpakdee, M Fu, P Thongtanunam 2021 36th IEEE/ACM International Conference on Automated Software …, 2021 | 73 | 2021 |
| GPT2SP: A transformer-based agile story point estimation approach M Fu, C Tantithamthavorn IEEE Transactions on Software Engineering 49 (2), 611-625, 2022 | 66 | 2022 |
| AIBugHunter: A Practical tool for predicting, classifying and repairing software vulnerabilities M Fu, C Tantithamthavorn, T Le, Y Kume, V Nguyen, D Phung, J Grundy Empirical Software Engineering 29 (1), 4, 2024 | 45 | 2024 |
| Vulexplainer: A transformer-based hierarchical distillation for explaining vulnerability types M Fu, V Nguyen, CK Tantithamthavorn, T Le, D Phung IEEE Transactions on Software Engineering 49 (10), 4550-4565, 2023 | 33 | 2023 |
| Vision transformer inspired automated vulnerability repair M Fu, V Nguyen, C Tantithamthavorn, D Phung, T Le ACM Transactions on Software Engineering and Methodology 33 (3), 1-29, 2024 | 25 | 2024 |
| Ai for devsecops: A landscape and future opportunities M Fu, J Pasuksmit, C Tantithamthavorn ACM Transactions on Software Engineering and Methodology, 2024 | 10 | 2024 |
| Learning to quantize vulnerability patterns and match to locate statement-level vulnerabilities M Fu, T Le, V Nguyen, C Tantithamthavorn, D Phung arXiv preprint arXiv:2306.06109, 2023 | 7 | 2023 |
| Toward more effective deep learning-based automated software vulnerability prediction, classification, and repair M Fu 2023 IEEE/ACM 45th International Conference on Software Engineering …, 2023 | 2 | 2023 |
| RAGVA: Engineering Retrieval Augmented Generation-based Virtual Assistants in Practice R Yang, M Fu, C Tantithamthavorn, C Arora, L Vandenhurk, J Chua arXiv preprint arXiv:2502.14930, 2025 | | 2025 |
| A Formal Explainer for Just-In-Time Defect Predictions J Yu, M Fu, A Ignatiev, C Tantithamthavorn, P Stuckey ACM Transactions on Software Engineering and Methodology 33 (7), 1-31, 2024 | | 2024 |
| Statement-Level Vulnerability Detection: Learning Vulnerability Patterns Through Information Theory and Contrastive Learning V Nguyen, T Le, C Tantithamthavorn, M Fu, J Grundy, H Nguyen, ... arXiv preprint arXiv:2209.10414, 2022 | | 2022 |
Chakkrit (Kla) TantithamthavornSenior Lecturer (IEEE Senior Member, DECRA Fellow, JSPS Fellow), Monash UniversityEmail được xác minh tại monash.edu