LineVD: statement-level vulnerability detection using graph neural networks D Hin, A Kan, H Chen, MA Babar Proceedings of the 19th international conference on mining software …, 2022 | 165 | 2022 |
Deepcva: Automated commit-level vulnerability assessment with deep multi-task learning THM Le, D Hin, R Croft, MA Babar 2021 36th IEEE/ACM International Conference on Automated Software …, 2021 | 59 | 2021 |
A large-scale study of security vulnerability support on developer q&a websites THM Le, R Croft, D Hin, MA Babar Proceedings of the 25th International Conference on Evaluation and …, 2021 | 27* | 2021 |
Puminer: Mining security posts from developer question and answer websites with pu learning THM Le, D Hin, R Croft, MA Babar Proceedings of the 17th International Conference on Mining Software …, 2020 | 26 | 2020 |
Stackoverflow vs kaggle: A study of developer discussions about data science D Hin arXiv preprint arXiv:2006.08334, 2020 | 3 | 2020 |
Evolving pictures in image transition space B Alexander, D Hin, A Neumann, S Ull-Karim Neural Information Processing: 26th International Conference, ICONIP 2019 …, 2019 | 2 | 2019 |