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Yuejun Guo
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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
492022
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
342021
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
172017
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
172016
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
152024
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
132023
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
132023
SHNN-CAD+: An Improvement on SHNN-CAD for Adaptive Online Trajectory Anomaly Detection
Y Guo, A Bardera
Sensors 19 (1), 84, 2018
132018
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
112023
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
112023
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
102021
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
92024
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
92023
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
92017
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
82014
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
81776
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
72014
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
62024
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
62023
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
62022
Systém momentálne nemôže vykonať operáciu. Skúste to neskôr.
Články 1–20