Publications
Journals
- A Comprehensive Analysis on Software Vulnerability Detection Datasets: Trends, Challenges, and Road Ahead
- Yuejun Guo, Seifeddine Bettaieb, Fran Casino
- Internation Journal of Information Security. 2024
- Towards Exploring the Limitations of Test Selection Techniques on Graph Neural Networks: An Empirical Study
- Xueqi Dang, Yinghua Li, Wei Ma, Yuejun Guo, Qiang Hu, Mike Papadakis, Maxime Cordy, Yves Le Traon
- Empirical Software Engineering. 2024
- Active Code Learning: Benchmarking Sample-Efficient Training of Code Models
- Qiang Hu, Yuejun Guo, Xiaofei Xie, Maxime Cordy, Lei Ma, Mike Papadakis, Yves Le Traon
- IEEE Transactions on Software Engineering. 2024
- KAPE: kNN-based Performance Testing for Deep Code Search
- Yuejun Guo, Qiang Hu, Xiaofei Xie, Maxime Cordy, Mike Papadakis, Yves Le Traon
- ACM Transactions on Software Engineering and Methodology 33 (2), 1-24. 2023
- An Empirical Study of Deep Learning-Based SS7 Attack Detection
- Yuejun Guo, Orhan Ermis, Qiang Tang, Hoang Trang, Alexandre De Oliveira
- Information 14 (9), 509. 2023
- Hazards in Deep Learning Testing: Prevalence, Impact and Recommendations
- Salah Ghamizi, Maxime Cordy, Yuejun Guo, Mike Papadakis, Yves Le Traon
- arXiv preprint. 2023
- LaF: Labeling-Free Model Selection for Automated Deep Neural Network Reusing
- Qiang Hu, Yuejun Guo, Xiaofei Xie, Maxime Cordy, Mike Papadakis, Yves Le Traon
- ACM Transactions on Software Engineering and Methodology. 2023
- Towards Understanding Model Quantization for Reliable Deep Neural Network Deployment
- Qiang Hu, Yuejun Guo, Maxime Cordy, Xiaofei Xie, Wei Ma, Mike Papadakis, Yves Le Traon
- IEEE/ACM 2nd International Conference on AI Engineering–Software Engineering for AI (CAIN). 2023
- DRE: density-based data selection with entropy for adversarial-robust deep learning models
- Yuejun Guo, Qiang Hu, Maxime Cordy, Mike Papadakis, Yves Le Traon
- Neural Computing and Applications 35 (5), 4009-4026. 2023
- An empirical study on data distribution-aware test selection for deep learning enhancement
- Qiang Hu, Yuejun Guo, Maxime Cordy, Xiaofei Xie, Lei Ma, Mike Papadakis, Yves Le Traon
- ACM Transactions on Software Engineering and Methodology (TOSEM) 31 (4), 1-30. 2022
- A scalable method to construct compact road networks from GPS trajectories
- Yuejun Guo, Anton Bardera, Marta Fort, Rodrigo I Silveira
- International Journal of Geographical Information Science 35 (7), 1309-1345. 2021
- SHNN-CAD+: An Improvement on SHNN-CAD for Adaptive Online Trajectory Anomaly Detection
- Yuejun Guo, Anton Bardera
- Sensors 19 (1), 84. 2018
- IBVis: Interactive visual analytics for information bottleneck based trajectory clustering
- Yuejun Guo, Qing Xu, Mateu Sbert
- Entropy 20 (3), 159. 2018
- Trajectory shape analysis and anomaly detection utilizing information theory tools
- Yuejun Guo, Qing Xu, Peng Li, Mateu Sbert, Yu Yang
- Entropy 19 (7), 323. 2017
- A group-based signal filtering approach for trajectory abstraction and restoration
- ** Yuejun Guo**, Qing Xu, Xiaoxiao Luo, Hao Wei, Hongjuan Bu, Mateu Sbert
- Neural Computing and Applications, 1-17. 2017
- Selecting video key frames based on relative entropy and the extreme studentized deviate test
- Yuejun Guo, Qing Xu, Shihua Sun, Xiaoxiao Luo, Mateu Sbert
- Entropy 18 (3), 73. 2016
Conferences
- Automated Dependency Mapping for Web API Security Testing Using Large Language Models
- Wanpeng, Li, Yuejun Guo
- ACM SIGSAC Conference on Computer and Communications Security (CCS). 2024
- Outside the Comfort Zone: Analysing LLM Capabilities in Software Vulnerability Detection
- Yuejun Guo, Constantinos Patsakis, Qiang Hu, Qiang Tang, Fran Casino
- 29th European Symposium on Research in Computer Security (ESORICS). 2024
- An Empirical Study of the Imbalance Issue in Software Vulnerability Detection
- Yuejun Guo, Qiang Hu, Qiang Tang, Yves Le Traon
- 28th European Symposium on Research in Computer Security (ESORICS). 2023
- Boosting Source Code Learning with Text-Oriented Data Augmentation: An Empirical Study
- Zeming Dong, Qiang Hu, Yuejun Guo, Zhenya Zhang, Jianjun Zhao
- IEEE 23rd International Conference on Software Quality, Reliability, and Security Companion (QRS-C). 2023
- MUTEN: Mutant-Based Ensembles for Boosting Gradient-Based Adversarial Attack
- Qiang Hu, Yuejun Guo, Maxime Cordy, Mike Papadakis, Yves Le Traon
- 38th IEEE/ACM International Conference on Automated Software Engineering (ASE). 2023
- CodeLens: An Interactive Tool for Visualizing Code Representations
- Yuejun Guo, Seifeddine Bettaieb, Qiang Hu, Yves Le Traon, Qiang Tang
- arXiv preprint. 2023
- An Investigation of Quality Issues in Vulnerability Detection Datasets
- Yuejun Guo, Seifeddine Bettaieb
- IEEE European Symposium on Security and Privacy Workshops (EuroS&PW), 29-33. 2023
- Aries: Efficient testing of deep neural networks via labeling-free accuracy estimation
- Qiang Hu, Yuejun Guo, Xiaofei Xie, Maxime Cordy, Mike Papadakis, Lei Ma, Yves Le Traon
- IEEE/ACM 45th International Conference on Software Engineering (ICSE). 2023
- Codes: towards code model generalization under distribution shift
- Qiang Hu, Yuejun Guo, Xiaofei Xie, Maxime Cordy, Mike Papadakis, Lei Ma, Yves Le Traon
- IEEE/ACM 45th International Conference on Software Engineering: New Ideas and Emerging Results (ICSE-NIER). 2023
- Mixcode: Enhancing code classification by mixup-based data augmentation
- Zeming Dong, Qiang Hu, Yuejun Guo, Maxime Cordy, Mike Papadakis, Zhenya Zhang, Yves Le Traon, Jianjun Zhao
- IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER). 2023
- Robust active learning: Sample-efficient training of robust deep learning models
- Yuejun Guo, Qiang Hu, Maxime Cordy, Mike Papadakis, Yves Le Traon
- Proceedings of the 1st International Conference on AI Engineering: Software Engineering for AI. 2022
- Towards exploring the limitations of active learning: An empirical study
- Qiang Hu, Yuejun Guo, Maxime Cordy, Xiaofei Xie, Wei Ma, Mike Papadakis, Yves Le Traon
- 36th IEEE/ACM International Conference on Automated Software Engineering (ASE). 2021
- Trajectory Anomaly Detection Based on the Mean Distance Deviation
- Xiaoyuan Hu, Qing Xu, Yuejun Guo
- International Conference on Neural Information Processing, 140-147. 2020
- Anomaly detection based on the global-local anomaly score for trajectory data
- Chengcheng Li, Qing Xu, Cheng Peng, Yuejun Guo
- International Conference on Neural Information Processing, 275-285. 209
- The Abstraction for Trajectories with Different Numbers of Sampling Points
- Peng Li, Qing Xu, Hao Wei, Yuejun Guo, Xiaoxiao Luo, Mateu Sbert
- Neural Information Processing: 24th International Conference (ICONIP). 2017
- Fast agglomerative information bottleneck based trajectory clustering
- Yuejun Guo, Qing Xu, Yang Fan, Sheng Liang, Mateu Sbert
- International Conference on Neural Information Processing, 425-433. 2016
- Detection and Removal for Impulse Noise in Monte Carlo Global Illumination Rendered Images of Highly Glossy Scenes
- Hongjuan Bu, Qing Xu, Shang Wu, Yuejun Guo, Mateu Sbert
- International Conference on Virtual Reality and Visualization (ICVRV). 2015
- Fast TLS Denoising Algorithm Using Grid Technique
- Yimin Lv, Qing Xu, Yuejun Guo, Huixuan Li, Mateu Sbert
- International Conference on Virtual Reality and Visualization (ICVRV). 2015
- 3D Visualization of Multiscale Video Key Frames
- Shihua Sun, Qing Xu, Yuejun Guo, Sheng Liang, Yang Fan
- 19th International Conference on Information Visualisation, 223-227. 2015
- Multiscale visualization of trajectory data
- Sheng Liang, Qing Xu, Yuejun Guo, Yang Fan
- 19th International Conference on Information Visualisation, 206-210. 2015
- Visualization on agglomerative information bottleneck based trajectory clustering
- Yang Fan, Qing Xu, Yuejun Guo, Sheng Liang
- 19th International Conference on Information Visualisation, 557-560. 2015
- A mixed noise removal algorithm based on the maximum entropy principle
- Shang Wu, Qing Xu, Jialang Li, Yuejun Guo
- IEEE International Conference on Multimedia and Expo (ICME), 1-6. 2015
- Trajectory abstracting with group-based signal denoising
- Xiaoxiao Luo, Qing Xu, Yuejun Guo, Hao Wei, Yimin Lv
- Neural Information Processing: 22nd International Conference (ICONIP). 2015
- Xaibo: An extension of aib for trajectory clustering with outlier
- Yuejun Guo, Qing Xu, Sheng Liang, Yang Fan, Mateu Sbert
- Neural Information Processing: 22nd International Conference (ICONIP). 2015
- A New Scheme for Trajectory Visualization
- Yuejun Guo, Qing Xu, Xiu Li, Xiaoxiao Luo, Mateu Sbert
- 8th International Conference on Information Visualisation, 40-45. 2014
- Anomaly detection based on trajectory analysis using kernel density estimation and information bottleneck techniques
- Yuejun Guo, Qing Xu, Yu Yang, Sheng Liang, Yu Liu, Mateu Sbert
- Univ. of Girona TR 108. 2014
