| 2026 | AsiaCCS | CRX-ray: Large-Scale Detection of API Key Leakage in Browser Extensions. | Wei Zeng, Zhi Wang, Valerio Bucci, Xiaoyu Chen, Xin Yang, Siyu Zhang, Yuejun Guo, Wanpeng Li |
| 2026 | ICAART | Developing Intelligent Chatbots for Telecom Security Support: A Comparative Study of Large Language Model Utilization Strategies. | Yuejun Guo, Qiang Tang, Hoang Trang, Cu D. Nguyen |
| 2026 | SAC | Evaluation of Multi-Language Vulnerability Patching with Pre-Trained Models. | Zanis Ali Khan, Aayush Garg, Yuejun Guo, Qiang Tang |
| 2025 | EuroSPI | Automatic Assessment of Corporate Sustainability Due Diligence Process Capability and CS3D Compliance. | Stphane Cortina, Ruben J. Marques, Yuejun Guo, Joscha Krause |
| 2024 | CCS | Poster: Automated Dependency Mapping for Web API Security Testing Using Large Language Models. | Wanpeng Li, Yuejun Guo |
| 2024 | ESORICS | Outside the Comfort Zone: Analysing LLM Capabilities in Software Vulnerability Detection. | Yuejun Guo, Constantinos Patsakis, Qiang Hu, Qiang Tang, Fran Casino |
| 2023 | CAIN | 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 |
| 2023 | ESORICS | An Empirical Study of the Imbalance Issue in Software Vulnerability Detection. | Yuejun Guo, Qiang Hu, Qiang Tang, Yves Le Traon |
| 2023 | ICSE | 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 |
| 2023 | ICSE | CodeS: Towards Code Model Generalization Under Distribution Shift. | Qiang Hu, Yuejun Guo, Xiaofei Xie, Maxime Cordy, Mike Papadakis, Lei Ma, Yves Le Traon |
| 2023 | QRS | Boosting Source Code Learning with Text-Oriented Data Augmentation: An Empirical Study. | Zeming Dong, Qiang Hu, Yuejun Guo, Zhenya Zhang, Jianjun Zhao |
| 2022 | CAIN | Robust active learning: sample-efficient training of robust deep learning models. | Yuejun Guo, Qiang Hu, Maxime Cordy, Mike Papadakis, Yves Le Traon |
| 2020 | ICONIP | Trajectory Anomaly Detection Based on the Mean Distance Deviation. | Xiaoyuan Hu, Qing Xu, Yuejun Guo |
| 2019 | ICANN | Eye Movement-Based Analysis on Methodologies and Efficiency in the Process of Image Noise Evaluation. | Cheng Peng, Qing Xu, Yuejun Guo, Klaus Schoeffmann |
| 2019 | ICONIP | Anomaly Detection Based on the Global-Local Anomaly Score for Trajectory Data. | Chengcheng Li, Qing Xu, Cheng Peng, Yuejun Guo |
| 2019 | MMM | Detail-Preserving Trajectory Summarization Based on Segmentation and Group-Based Filtering. | Ting Wu, Qing Xu, Yunhe Li, Yuejun Guo, Klaus Schoeffmann |
| 2017 | ICONIP | The Abstraction for Trajectories with Different Numbers of Sampling Points. | Peng Li, Qing Xu, Hao Wei, Yuejun Guo, Xiaoxiao Luo, Mateu Sbert |
| 2016 | ICONIP | Fast Agglomerative Information Bottleneck Based Trajectory Clustering. | Yuejun Guo, Qing Xu, Yang Fan, Sheng Liang, Mateu Sbert |
| 2015 | ICONIP | XaIBO: An Extension of aIB for Trajectory Clustering with Outlier. | Yuejun Guo, Qing Xu, Sheng Liang, Yang Fan, Mateu Sbert |
| 2015 | ICONIP | Trajectory Abstracting with Group-Based Signal Denoising. | Xiaoxiao Luo, Qing Xu, Yuejun Guo, Hao Wei, Yimin Lv |
| 2015 | IV | Visualization on Agglomerative Information Bottleneck Based Trajectory Clustering. | Yang Fan, Qing Xu, Yuejun Guo, Sheng Liang |
| 2015 | IV | Multiscale Visualization of Trajectory Data. | Sheng Liang, Qing Xu, Yuejun Guo, Yang Fan |
| 2015 | IV | 3D Visualization of Multiscale Video Key Frames. | Shihua Sun, Qing Xu, Yuejun Guo, Sheng Liang, Yang Fan |
| 2014 | IV | A New Scheme for Trajectory Visualization. | Yuejun Guo, Qing Xu, Xiu Li, Xiaoxiao Luo, Mateu Sbert |