| Bgnn4vd: Constructing bidirectional graph neural-network for vulnerability detection S Cao, X Sun, L Bo, Y Wei, B Li Information and Software Technology 136, 106576, 2021 | 200 | 2021 |
| MVD: Memory-Related Vulnerability Detection Based on Flow-Sensitive Graph Neural Networks S Cao, X Sun, L Bo, R Wu, B Li, C Tao Proceedings of the 44th International Conference on Software Engineering …, 2022 | 118 | 2022 |
| Large language model for vulnerability detection and repair: Literature review and the road ahead X Zhou, S Cao, X Sun, D Lo ACM Transactions on Software Engineering and Methodology, 2024 | 35* | 2024 |
| ODDFUZZ: Discovering Java Deserialization Vulnerabilities via Structure-Aware Directed Greybox Fuzzing S Cao, B He, X Sun, Y Ouyang, C Zhang, X Wu, T Su, L Bo, B Li, C Ma, ... Proceedings of the 44th IEEE Symposium on Security and Privacy (SP), 2023 | 29 | 2023 |
| A comprehensive study on security bug characteristics Y Wei, X Sun, L Bo, S Cao, X Xia, B Li Journal of Software: Evolution and Process 33 (10), e2376, 2021 | 24 | 2021 |
| Improving Java Deserialization Gadget Chain Mining via Overriding-Guided Object Generation S Cao, X Sun, X Wu, L Bo, B Li, R Wu, W Liu, B He, Y Ouyang, J Li Proceedings of the 45th International Conference on Software Engineering …, 2023 | 22 | 2023 |
| SPVF: security property assisted vulnerability fixing via attention-based models Z Zhou, L Bo, X Wu, X Sun, T Zhang, B Li, J Zhang, S Cao Empirical Software Engineering 27 (7), 171, 2022 | 19 | 2022 |
| Coca: improving and explaining graph neural network-based vulnerability detection systems S Cao, X Sun, X Wu, D Lo, L Bo, B Li, W Liu Proceedings of the IEEE/ACM 46th International Conference on Software …, 2024 | 14 | 2024 |
| Grasp: Graph-to-sequence learning for automated program repair B Tang, B Li, L Bo, X Wu, S Cao, X Sun 2021 IEEE 21st International Conference on Software Quality, Reliability and …, 2021 | 11 | 2021 |
| A systematic literature review on explainability for machine/deep learning-based software engineering research S Cao, X Sun, R Widyasari, D Lo, X Wu, L Bo, J Zhang, B Li, W Liu, D Wu, ... arXiv preprint arXiv:2401.14617, 2024 | 7 | 2024 |
| Learning to detect memory-related vulnerabilities S Cao, X Sun, L Bo, R Wu, B Li, X Wu, C Tao, T Zhang, W Liu ACM Transactions on Software Engineering and Methodology 33 (2), 1-35, 2023 | 6 | 2023 |
| Snopy: Bridging Sample Denoising with Causal Graph Learning for Effective Vulnerability Detection S Cao, X Sun, X Wu, D Lo, L Bo, B Li, X Liu, X Lin, W Liu Proceedings of the 39th IEEE/ACM International Conference on Automated …, 2024 | 1 | 2024 |
| 1+ 1> 2: Integrating Deep Code Behaviors with Metadata Features for Malicious PyPI Package Detection X Sun, X Gao, S Cao, L Bo, X Wu, K Huang Proceedings of the 39th IEEE/ACM International Conference on Automated …, 2024 | 1 | 2024 |
| EXVUL: Towards Effective and Explainable Vulnerability Detection for IoT Devices S Cao, X Sun, W Liu, D Wu, J Zhang, Y Li, TH Luan, L Gao IEEE Internet of Things Journal, 2024 | 1 | 2024 |
| The Best of Both Worlds: Integrating Semantic Features with Expert Features for Smart Contract Vulnerability Detection X Lin, M Zhou, S Cao, J Wang, X Sun International Conference on Blockchain and Trustworthy Systems, 17-31, 2023 | 1 | 2023 |
| Hierarchy-Aware Representation Learning for Industrial IoT Vulnerability Classification S Cao, X Sun, X Yang, X Wu, W Liu, B Li IEEE Transactions on Industrial Informatics, 2024 | | 2024 |
Xiaobing SunYangzhou Universityכתובת אימייל מאומתת בדומיין yzu.edu.cn