Yuejun Guo

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 48

Top Topics

Anomaly Detection

Top Venues

ACM Trans. Softw. Eng. Methodol.

Publications

Xueqi Dang, Yinghua Li, Wei Ma, Yuejun Guo, Qiang Hu, Mike Papadakis, Maxime Cordy, Yves Le Traon
Towards Exploring the Limitations of Test Selection Techniques on Graph Neural Networks: An Empirical Study. Empir. Softw. Eng. 29 (5) (2024)
Qiang Hu, Yuejun Guo, Xiaofei Xie, Maxime Cordy, Lei Ma, Mike Papadakis, Yves Le Traon
Test Optimization in DNN Testing: A Survey. ACM Trans. Softw. Eng. Methodol. 33 (4) (2024)
Qiang Hu, Yuejun Guo, Xiaofei Xie, Maxime Cordy, Lei Ma, Mike Papadakis, Yves Le Traon
Active Code Learning: Benchmarking Sample-Efficient Training of Code Models. IEEE Trans. Software Eng. 50 (5) (2024)
Qiang Hu, Yuejun Guo, Xiaofei Xie, Maxime Cordy, Mike Papadakis, Yves Le Traon
LaF: Labeling-free Model Selection for Automated Deep Neural Network Reusing. ACM Trans. Softw. Eng. Methodol. 33 (1) (2024)
Yuejun Guo, Qiang Hu, Xiaofei Xie, Maxime Cordy, Mike Papadakis, Yves Le Traon
NN-based Performance Testing for Deep Code Search. ACM Trans. Softw. Eng. Methodol. 33 (2) (2024)
Zeming Dong, Qiang Hu, Zhenya Zhang, Yuejun Guo, Maxime Cordy, Mike Papadakis, Yves Le Traon, Jianjun Zhao
On the effectiveness of hybrid pooling in mixup-based graph learning for language processing. J. Syst. Softw. 216 (2024)
Zeming Dong, Qiang Hu, Yuejun Guo, Zhenya Zhang, Maxime Cordy, Mike Papadakis, Yves Le Traon, Jianjun Zhao
Boosting Source Code Learning with Data Augmentation: An Empirical Study. CoRR (2023)
Qiang Hu, Yuejun Guo, Xiaofei Xie, Maxime Cordy, Lei Ma, Mike Papadakis, Yves Le Traon
Active Code Learning: Benchmarking Sample-Efficient Training of Code Models. CoRR (2023)
Qiang Hu, Yuejun Guo, Xiaofei Xie, Maxime Cordy, Mike Papadakis, Lei Ma, Yves Le Traon
Aries: Efficient Testing of Deep Neural Networks via Labeling-Free Accuracy Estimation. ICSE (2023)
Yuejun Guo, Orhan Ermis, Qiang Tang, Hoang Trang, Alexandre De Oliveira
An Empirical Study of Deep Learning-Based SS7 Attack Detection. Inf. 14 (9) (2023)
Qiang Hu, Yuejun Guo, Xiaofei Xie, Maxime Cordy, Wei Ma, Mike Papadakis, Yves Le Traon
Evaluating the Robustness of Test Selection Methods for Deep Neural Networks. CoRR (2023)
Zeming Dong, Qiang Hu, Yuejun Guo, Zhenya Zhang, Jianjun Zhao
Boosting Source Code Learning with Text-Oriented Data Augmentation: An Empirical Study. QRS Companion (2023)
Zeming Dong, Qiang Hu, Yuejun Guo, Maxime Cordy, Mike Papadakis, Zhenya Zhang, Yves Le Traon, Jianjun Zhao
MixCode: Enhancing Code Classification by Mixup-Based Data Augmentation. SANER (2023)
Salah Ghamizi, Maxime Cordy, Yuejun Guo, Mike Papadakis, Yves Le Traon
Hazards in Deep Learning Testing: Prevalence, Impact and Recommendations. CoRR (2023)
Yuejun Guo, Qiang Hu, Maxime Cordy, Michail Papadakis, Yves Le Traon
DRE: density-based data selection with entropy for adversarial-robust deep learning models. Neural Comput. Appl. 35 (5) (2023)
Qiang Hu, Yuejun Guo, Maxime Cordy, Mike Papadakis, Yves Le Traon
MUTEN: Mutant-Based Ensembles for Boosting Gradient-Based Adversarial Attack. ASE (2023)
Qiang Hu, Yuejun Guo, Xiaofei Xie, Maxime Cordy, Mike Papadakis, Lei Ma, Yves Le Traon
CodeS: Towards Code Model Generalization Under Distribution Shift. ICSE (NIER) (2023)
Yuejun Guo, Seifeddine Bettaieb
An Investigation of Quality Issues in Vulnerability Detection Datasets. EuroS&P Workshops (2023)
Qiang Hu, Yuejun Guo, Maxime Cordy, Xiaofei Xie, Wei Ma, Mike Papadakis, Yves Le Traon
Towards Understanding Model Quantization for Reliable Deep Neural Network Deployment. CAIN (2023)
Yuejun Guo, Seifeddine Bettaieb, Qiang Hu, Yves Le Traon, Qiang Tang
CodeLens: An Interactive Tool for Visualizing Code Representations. CoRR (2023)
Yuejun Guo, Qiang Hu, Qiang Tang, Yves Le Traon
An Empirical Study of the Imbalance Issue in Software Vulnerability Detection. ESORICS (4) (2023)
Yuejun Guo, Qiang Hu, Maxime Cordy, Mike Papadakis, Yves Le Traon
Robust active learning: sample-efficient training of robust deep learning models. CAIN (2022)
Qiang Hu, Yuejun Guo, Maxime Cordy, Xiaofei Xie, Wei Ma, Mike Papadakis, Yves Le Traon
Characterizing and Understanding the Behavior of Quantized Models for Reliable Deployment. CoRR (2022)
Zeming Dong, Qiang Hu, Yuejun Guo, Maxime Cordy, Mike Papadakis, Yves Le Traon, Jianjun Zhao
Enhancing Mixup-Based Graph Learning for Language Processing via Hybrid Pooling. CoRR (2022)
Qiang Hu, Yuejun Guo, Maxime Cordy, Xiaofei Xie, Lei Ma, Mike Papadakis, Yves Le Traon
An Empirical Study on Data Distribution-Aware Test Selection for Deep Learning Enhancement. ACM Trans. Softw. Eng. Methodol. 31 (4) (2022)
Qiang Hu, Yuejun Guo, Xiaofei Xie, Maxime Cordy, Lei Ma, Mike Papadakis, Yves Le Traon
Efficient Testing of Deep Neural Networks via Decision Boundary Analysis. CoRR (2022)
Qiang Hu, Yuejun Guo, Xiaofei Xie, Maxime Cordy, Lei Ma, Mike Papadakis, Yves Le Traon
CodeS: A Distribution Shift Benchmark Dataset for Source Code Learning. CoRR (2022)
Yuejun Guo, Qiang Hu, Maxime Cordy, Xiaofei Xie, Mike Papadakis, Yves Le Traon
Labeling-Free Comparison Testing of Deep Learning Models. CoRR (2022)
Zeming Dong, Qiang Hu, Yuejun Guo, Maxime Cordy, Mike Papadakis, Yves Le Traon, Jianjun Zhao
Enhancing Code Classification by Mixup-Based Data Augmentation. CoRR (2022)
Yuejun Guo, Anton Bardera, Marta Fort, Rodrigo I. Silveira
A scalable method to construct compact road networks from GPS trajectories. Int. J. Geogr. Inf. Sci. 35 (7) (2021)
Xiaoyuan Hu, Qing Xu, Yuejun Guo
Trajectory Anomaly Detection Based on the Mean Distance Deviation. ICONIP (4) (2020)
Ting Wu, Qing Xu, Yunhe Li, Yuejun Guo, Klaus Schoeffmann
Detail-Preserving Trajectory Summarization Based on Segmentation and Group-Based Filtering. MMM (2) (2019)
Yuejun Guo, Anton Bardera
: An Improvement on SHNN-CAD for Adaptive Online Trajectory Anomaly Detection. Sensors 19 (1) (2019)
Cheng Peng, Qing Xu, Yuejun Guo, Klaus Schoeffmann
Eye Movement-Based Analysis on Methodologies and Efficiency in the Process of Image Noise Evaluation. ICANN (3) (2019)
Chengcheng Li, Qing Xu, Cheng Peng, Yuejun Guo
Anomaly Detection Based on the Global-Local Anomaly Score for Trajectory Data. ICONIP (5) (2019)
Yuejun Guo, Qing Xu, Xiaoxiao Luo, Hao Wei, Hongjuan Bu, Mateu Sbert
A group-based signal filtering approach for trajectory abstraction and restoration. Neural Comput. Appl. 29 (9) (2018)
Yuejun Guo, Qing Xu, Mateu Sbert
IBVis: Interactive Visual Analytics for Information Bottleneck Based Trajectory Clustering. Entropy 20 (3) (2018)
Qing Xu, Yunhe Li, Yuejun Guo, Shang Wu, Mateu Sbert
Random-valued impulse noise removal using adaptive ranked-ordered impulse detector. J. Electronic Imaging 27 (1) (2018)
Yuejun Guo, Qing Xu, Peng Li, Mateu Sbert, Yu Yang
Trajectory Shape Analysis and Anomaly Detection Utilizing Information Theory Tools . Entropy 19 (7) (2017)
Peng Li, Qing Xu, Hao Wei, Yuejun Guo, Xiaoxiao Luo, Mateu Sbert
The Abstraction for Trajectories with Different Numbers of Sampling Points. ICONIP (6) (2017)
Yuejun Guo, Qing Xu, Shihua Sun, Xiaoxiao Luo, Mateu Sbert
Selecting Video Key Frames Based on Relative Entropy and the Extreme Studentized Deviate Test. Entropy 18 (3) (2016)
Yuejun Guo, Qing Xu, Yang Fan, Sheng Liang, Mateu Sbert
Fast Agglomerative Information Bottleneck Based Trajectory Clustering. ICONIP (3) (2016)
Shihua Sun, Qing Xu, Yuejun Guo, Sheng Liang, Yang Fan
3D Visualization of Multiscale Video Key Frames. IV (2015)
Sheng Liang, Qing Xu, Yuejun Guo, Yang Fan
Multiscale Visualization of Trajectory Data. IV (2015)
Yuejun Guo, Qing Xu, Sheng Liang, Yang Fan, Mateu Sbert
XaIBO: An Extension of aIB for Trajectory Clustering with Outlier. ICONIP (2) (2015)
Shang Wu, Qing Xu, Jialang Li, Yuejun Guo
A mixed noise removal algorithm based on the maximum entropy principle. ICME (2015)
Yang Fan, Qing Xu, Yuejun Guo, Sheng Liang
Visualization on Agglomerative Information Bottleneck Based Trajectory Clustering. IV (2015)
Xiaoxiao Luo, Qing Xu, Yuejun Guo, Hao Wei, Yimin Lv
Trajectory Abstracting with Group-Based Signal Denoising. ICONIP (3) (2015)
Yuejun Guo, Qing Xu, Xiu Li, Xiaoxiao Luo, Mateu Sbert
A New Scheme for Trajectory Visualization. IV (2014)