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Yuejun Guo
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Year
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
312022
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
172021
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
152016
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
142017
SHNN-CAD+: An Improvement on SHNN-CAD for Adaptive Online Trajectory Anomaly Detection
Y Guo, A Bardera
Sensors 19 (1), 84, 2018
112018
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
CodeS: towards code model generalization under distribution shift
Q Hu, Y Guo, X Xie, M Cordy, M Papadakis, L Ma, Y Le Traon
International Conference on Software Engineering (ICSE): New Ideas and …, 2023
72023
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
72017
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
62023
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
62021
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
62015
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
62014
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
52023
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
52022
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
52015
Multiscale visualization of trajectory data
S Liang, Q Xu, Y Guo, Y Fan
2015 19th International Conference on Information Visualisation, 206-210, 2015
42015
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
32023
Towards Understanding Model Quantization for Reliable Deep Neural Network Deployment
Q Hu, Y Guo, M Cordy, X Xie, W Ma, M Papadakis, Y Le Traon
2023 IEEE/ACM 2nd International Conference on AI Engineering–Software …, 2023
32023
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
32023
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
32023
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