| Simplified deep forest model based just-in-time defect prediction for android mobile apps K Zhao, Z Xu, T Zhang, Y Tang, M Yan IEEE Transactions on Reliability 70 (2), 848-859, 2021 | 41 | 2021 |
| Effort-aware just-in-time bug prediction for mobile apps via cross-triplet deep feature embedding Z Xu, K Zhao, T Zhang, C Fu, M Yan, Z Xie, X Zhang, G Catolino IEEE Transactions on Reliability 71 (1), 204-220, 2021 | 29 | 2021 |
| Dual gated graph attention networks with dynamic iterative training for cross-lingual entity alignment Z Xie, R Zhu, K Zhao, J Liu, G Zhou, JX Huang ACM Transactions on Information Systems (TOIS) 40 (3), 1-30, 2021 | 28 | 2021 |
| A comprehensive investigation of the impact of feature selection techniques on crashing fault residence prediction models K Zhao, Z Xu, M Yan, T Zhang, D Yang, W Li Information and Software Technology 139, 106652, 2021 | 26 | 2021 |
| A contextual alignment enhanced cross graph attention network for cross-lingual entity alignment Z Xie, R Zhu, K Zhao, J Liu, G Zhou, X Huang Proceedings of the 28th International Conference on Computational …, 2020 | 25 | 2020 |
| A compositional model for effort‐aware Just‐In‐Time defect prediction on android apps K Zhao, Z Xu, M Yan, L Xue, W Li, G Catolino IET software 16 (3), 259-278, 2022 | 23 | 2022 |
| Graph4Web: A relation-aware graph attention network for web service classification K Zhao, J Liu, Z Xu, X Liu, L Xue, Z Xie, Y Zhou, X Wang Journal of Systems and Software 190, 111324, 2022 | 21 | 2022 |
| Just-in-time defect prediction for Android apps via imbalanced deep learning model K Zhao, Z Xu, M Yan, Y Tang, M Fan, G Catolino Proceedings of the 36th Annual ACM Symposium on Applied Computing, 1447-1454, 2021 | 19 | 2021 |
| Exploiting gated graph neural network for detecting and explaining self-admitted technical debts J Yu, K Zhao, J Liu, X Liu, Z Xu, X Wang Journal of Systems and Software 187, 111219, 2022 | 18 | 2022 |
| Effort-aware cross-project just-in-time defect prediction framework for mobile apps T Cheng, K Zhao, S Sun, M Mateen, J Wen Frontiers of Computer Science 16 (6), 166207, 2022 | 15 | 2022 |
| Imbalanced metric learning for crashing fault residence prediction Z Xu, K Zhao, M Yan, P Yuan, L Xu, Y Lei, X Zhang Journal of Systems and Software 170, 110763, 2020 | 14 | 2020 |
| Deepinfer: Deep type inference from smart contract bytecode K Zhao, Z Li, J Li, H Ye, X Luo, T Chen Proceedings of the 31st ACM Joint European Software Engineering Conference …, 2023 | 10 | 2023 |
| Predicting crash fault residence via simplified deep forest based on a reduced feature set K Zhao, J Liu, Z Xu, L Li, M Yan, J Yu, Y Zhou 2021 IEEE/ACM 29th International Conference on Program Comprehension (ICPC …, 2021 | 10 | 2021 |
| VGX: Large-Scale Sample Generation for Boosting Learning-Based Software Vulnerability Analyses Y Nong, R Fang, G Yi, K Zhao, X Luo, F Chen, H Cai Proceedings of the IEEE/ACM 46th International Conference on Software …, 2024 | 9 | 2024 |
| The impact of class imbalance techniques on crashing fault residence prediction models K Zhao, Z Xu, M Yan, T Zhang, L Xue, M Fan, J Keung Empirical Software Engineering 28 (2), 49, 2023 | 7 | 2023 |
| Detecting multi-type self-admitted technical debt with generative adversarial network-based neural networks J Yu, X Zhou, X Liu, J Liu, Z Xie, K Zhao Information and Software Technology 158, 107190, 2023 | 5 | 2023 |
| Question-Directed Reasoning With Relation-Aware Graph Attention Network for Complex Question Answering Over Knowledge Graph G Zhang, J Liu, G Zhou, K Zhao, Z Xie, B Huang IEEE/ACM Transactions on Audio, Speech, and Language Processing, 2024 | 2 | 2024 |
| Extended Abstract of Graph4Web: A Relation-Aware Graph Attention Network for Web Service Classification K Zhao, J Liu, Z Xu, X Liu, L Xue, Z Xie, Y Zhou, X Wang 2023 IEEE International Conference on Software Analysis, Evolution and …, 2023 | | 2023 |
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