| COSTE: Complexity-based OverSampling TEchnique to alleviate the class imbalance problem in software defect prediction S Feng, J Keung, X Yu, Y Xiao, KE Bennin, MA Kabir, M Zhang Information and Software Technology 129, 106432, 2021 | 119 | 2021 |
| Investigation on the stability of SMOTE-based oversampling techniques in software defect prediction S Feng, J Keung, X Yu, Y Xiao, M Zhang Information and Software Technology 139, 106662, 2021 | 103 | 2021 |
| Cross project defect prediction via balanced distribution adaptation based transfer learning Z Xu, S Pang, T Zhang, XP Luo, J Liu, YT Tang, X Yu, L Xue Journal of Computer Science and Technology 34, 1039-1062, 2019 | 78 | 2019 |
| A multi-modal transformer-based code summarization approach for smart contracts Z Yang, J Keung, X Yu, X Gu, Z Wei, X Ma, M Zhang 2021 IEEE/ACM 29th International Conference on Program Comprehension (ICPC …, 2021 | 75 | 2021 |
| Learning from imbalanced data for predicting the number of software defects X Yu, J Liu, Z Yang, X Jia, Q Ling, S Ye 2017 IEEE 28th international symposium on software reliability engineering …, 2017 | 62 | 2017 |
| Improving ranking-oriented defect prediction using a cost-sensitive ranking SVM X Yu, J Liu, JW Keung, Q Li, KE Bennin, Z Xu, J Wang, X Cui IEEE Transactions on Reliability 69 (1), 139-153, 2019 | 54 | 2019 |
| Cross-company defect prediction via semi-supervised clustering-based data filtering and MSTrA-based transfer learning X Yu, M Wu, Y Jian, KE Bennin, M Fu, C Ma Soft Computing 22, 3461-3472, 2018 | 50 | 2018 |
| An empirical study of learning to rank techniques for effort-aware defect prediction X Yu, KE Bennin, J Liu, JW Keung, X Yin, Z Xu 2019 IEEE 26th International Conference on Software Analysis, Evolution and …, 2019 | 49 | 2019 |
| Improving Ponzi scheme contract detection using multi-channel TextCNN and transformer Y Chen, H Dai, X Yu, W Hu, Z Xie, C Tan Sensors 21 (19), 6417, 2021 | 48 | 2021 |
| A cloud‐based taxi trace mining framework for smart city J Liu, X Yu, Z Xu, KKR Choo, L Hong, X Cui Software: Practice and Experience 47 (8), 1081-1094, 2017 | 43 | 2017 |
| Predicting the precise number of software defects: Are we there yet? X Yu, J Keung, Y Xiao, S Feng, F Li, H Dai Information and Software Technology 146, 106847, 2022 | 41 | 2022 |
| On the significance of category prediction for code-comment synchronization Z Yang, JW Keung, X Yu, Y Xiao, Z Jin, J Zhang ACM Transactions on Software Engineering and Methodology 32 (2), 1-41, 2023 | 35 | 2023 |
| The Bayesian Network based program dependence graph and its application to fault localization X Yu, J Liu, Z Yang, X Liu Journal of Systems and Software 134, 44-53, 2017 | 35 | 2017 |
| Improving Stack Overflow question title generation with copying enhanced CodeBERT model and bi-modal information F Zhang, X Yu, J Keung, F Li, Z Xie, Z Yang, C Ma, Z Zhang Information and Software Technology 148, 106922, 2022 | 31 | 2022 |
| Scalable and parallel sequential pattern mining using spark X Yu, Q Li, J Liu World Wide Web 22 (1), 295-324, 2019 | 30 | 2019 |
| The impact of feature selection techniques on effort‐aware defect prediction: An empirical study F Li, W Lu, JW Keung, X Yu, L Gong, J Li IET Software 17 (2), 168-193, 2023 | 24 | 2023 |
| CASMS: Combining clustering with attention semantic model for identifying security bug reports X Ma, J Keung, Z Yang, X Yu, Y Li, H Zhang Information and Software Technology 147, 106906, 2022 | 21 | 2022 |
| Improving the undersampling technique by optimizing the termination condition for software defect prediction S Feng, J Keung, Y Xiao, P Zhang, X Yu, X Cao Expert Systems with Applications 235, 121084, 2024 | 19 | 2024 |
| On the relative value of imbalanced learning for code smell detection F Li, K Zou, JW Keung, X Yu, S Feng, Y Xiao Software: Practice and Experience 53 (10), 1902-1927, 2023 | 19 | 2023 |
| Finding the best learning to rank algorithms for effort-aware defect prediction X Yu, H Dai, L Li, X Gu, JW Keung, KE Bennin, F Li, J Liu Information and Software Technology 157, 107165, 2023 | 19 | 2023 |
Jacky Wai KeungCity University of Hong KongEmail verificata su cityu.edu.hk
