| 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 | 32 | 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 | 19 | 2021 |
| 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 | 15 | 2016 |
| 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 | 14 | 2017 |
| SHNN-CAD+: An Improvement on SHNN-CAD for Adaptive Online Trajectory Anomaly Detection Y Guo, A Bardera Sensors 19 (1), 84, 2018 | 11 | 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 | 8 | 2023 |
| 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 |
| 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 | 7 | 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 | 7 | 2017 |
| 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 | 6 | 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 | 6 | 2021 |
| Visualization on agglomerative information bottleneck based trajectory clustering Y Fan, Q Xu, Y Guo, S Liang 2015 19th International Conference on Information Visualisation, 557-560, 2015 | 6 | 2015 |
| 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 | 6 | 2014 |
| 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 | 5 | 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 | 5 | 2023 |
| 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 Computer Society, Los Alamitos, CA, USA, 1776ś1787. https://doi. org/10 …, 2023 | 5 | 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 | 5 | 2022 |
| Multiscale visualization of trajectory data S Liang, Q Xu, Y Guo, Y Fan 2015 19th International Conference on Information Visualisation, 206-210, 2015 | 5 | 2015 |
| Xaibo: An extension of aib for trajectory clustering with outlier Y Guo, Q Xu, S Liang, Y Fan, M Sbert Neural Information Processing: 22nd International Conference, ICONIP 2015 …, 2015 | 5 | 2015 |
| LaF: Labeling-Free Model Selection for Automated Deep Neural Network Reusing Q Hu, Y Guo, X Xie, M Cordy, M Papadakis, Y Le Traon ACM Transactions on Software Engineering and Methodology, 2023 | 4 | 2023 |
Qiang HuThe University of TokyoVerified email at g.ecc.u-tokyo.ac.jp
