An empirical study on data distribution-aware test selection for deep learning enhancement Q Hu, Y Guo, M Cordy, X Xie, L Ma, M Papadakis, Y Le Traon ACM Transactions on Software Engineering and Methodology (TOSEM) 31 (4), 1-30, 2022 | 49 | 2022 |
Towards exploring the limitations of active learning: An empirical study Q Hu, Y Guo, M Cordy, X Xie, W Ma, M Papadakis, Y Le Traon 2021 36th IEEE/ACM International Conference on Automated Software …, 2021 | 34 | 2021 |
Trajectory shape analysis and anomaly detection utilizing information theory tools Y Guo, Q Xu, P Li, M Sbert, Y Yang Entropy 19 (7), 323, 2017 | 17 | 2017 |
Selecting video key frames based on relative entropy and the extreme studentized deviate test Y Guo, Q Xu, S Sun, X Luo, M Sbert Entropy 18 (3), 73, 2016 | 17 | 2016 |
Outside the comfort zone: Analysing llm capabilities in software vulnerability detection Y Guo, C Patsakis, Q Hu, Q Tang, F Casino European symposium on research in computer security, 271-289, 2024 | 15 | 2024 |
Aries: Efficient testing of deep neural networks via labeling-free accuracy estimation Q Hu, Y Guo, X Xie, M Cordy, M Papadakis, L Ma, Y Le Traon 2023 IEEE/ACM 45th International Conference on Software Engineering (ICSE …, 2023 | 13 | 2023 |
Mixcode: Enhancing code classification by mixup-based data augmentation Z Dong, Q Hu, Y Guo, M Cordy, M Papadakis, Z Zhang, Y Le Traon, ... 2023 IEEE International Conference on Software Analysis, Evolution and …, 2023 | 13 | 2023 |
SHNN-CAD+: An Improvement on SHNN-CAD for Adaptive Online Trajectory Anomaly Detection Y Guo, A Bardera Sensors 19 (1), 84, 2018 | 13 | 2018 |
CodeS: Towards code model generalization under distribution shift Q Hu, Y Guo, X Xie, M Cordy, M Papadakis, L Ma, Y Le Traon 2023 IEEE/ACM 45th International Conference on Software Engineering: New …, 2023 | 11 | 2023 |
Boosting source code learning with data augmentation: An empirical study Z Dong, Q Hu, Y Guo, Z Zhang, M Cordy, M Papadakis, YL Traon, J Zhao arXiv preprint arXiv:2303.06808, 2023 | 11 | 2023 |
A scalable method to construct compact road networks from GPS trajectories Y Guo, A Bardera, M Fort, RI Silveira International Journal of Geographical Information Science 35 (7), 1309-1345, 2021 | 10 | 2021 |
Test optimization in dnn testing: A survey Q Hu, Y Guo, X Xie, M Cordy, L Ma, M Papadakis, Y Le Traon ACM Transactions on Software Engineering and Methodology 33 (4), 1-42, 2024 | 9 | 2024 |
DRE: density-based data selection with entropy for adversarial-robust deep learning models Y Guo, Q Hu, M Cordy, M Papadakis, Y Le Traon Neural Computing and Applications 35 (5), 4009-4026, 2023 | 9 | 2023 |
A group-based signal filtering approach for trajectory abstraction and restoration Y Guo, Q Xu, X Luo, H Wei, H Bu, M Sbert Neural Computing and Applications, 1-17, 2017 | 9 | 2017 |
Anomaly detection based on trajectory analysis using kernel density estimation and information bottleneck techniques Y Guo, Q Xu, Y Yang, S Liang, Y Liu, M Sbert Univ. of Girona TR 108, 2014 | 8 | 2014 |
Aries: Efficient testing of deep neural networks via labeling-free accuracy estimation. In 2023 IEEE/ACM 45th International Conference on Software Engineering (ICSE) Q Hu, Y Guo, X Xie, M Cordy, M Papadakis, L Ma, Y Le Traon IEEE, 1776 | 8 | 1776 |
A new scheme for trajectory visualization Y Guo, Q Xu, X Li, X Luo, M Sbert 2014 18th International Conference on Information Visualisation, 40-45, 2014 | 7 | 2014 |
Active code learning: Benchmarking sample-efficient training of code models Q Hu, Y Guo, X Xie, M Cordy, L Ma, M Papadakis, Y Le Traon IEEE Transactions on Software Engineering, 2024 | 6 | 2024 |
An investigation of quality issues in vulnerability detection datasets Y Guo, S Bettaieb 2023 IEEE European Symposium on Security and Privacy Workshops (EuroS&PW), 29-33, 2023 | 6 | 2023 |
Robust active learning: Sample-efficient training of robust deep learning models Y Guo, Q Hu, M Cordy, M Papadakis, YL Traon Proceedings of the 1st International Conference on AI Engineering: Software …, 2022 | 6 | 2022 |