| A survey on deep learning for software engineering Y Yang, X Xia, D Lo, J Grundy ACM Computing Surveys (CSUR) 54 (10s), 1-73, 2022 | 192 | 2022 |
| Predictive models in software engineering: Challenges and opportunities Y Yang, X Xia, D Lo, T Bi, J Grundy, X Yang ACM Transactions on Software Engineering and Methodology (TOSEM) 31 (3), 1-72, 2022 | 46 | 2022 |
| Structural function based code clone detection using a new hybrid technique Y Yang, Z Ren, X Chen, H Jiang 2018 IEEE 42nd annual computer software and applications conference (COMPSAC …, 2018 | 34 | 2018 |
| Unveiling the mystery of API evolution in Deep Learning frameworks: a case study of TensorFlow 2 Z Zhang, Y Yang, X Xia, D Lo, X Ren, J Grundy 2021 IEEE/ACM 43rd International Conference on Software Engineering …, 2021 | 19 | 2021 |
| Federated Learning for Software Engineering: A Case Study of Code Clone Detection and Defect Prediction Y Yang, X Hu, Z Gao, J Chen, C Ni, X Xia, D Lo IEEE Transactions on Software Engineering, 2024 | 3 | 2024 |
| Streamlining Java Programming: Uncovering Well-Formed Idioms with IdioMine Y Yang, X Hu, X Xia, D Lo, X Yang Proceedings of the IEEE/ACM 46th International Conference on Software …, 2024 | | 2024 |
| The Lost World: Characterizing and Detecting Undiscovered Test Smells Y Yang, X Hu, X Xia, X Yang ACM Transactions on Software Engineering and Methodology 33 (3), 1-32, 2024 | | 2024 |
| C³: Code Clone-Based Identification of Duplicated Components Y Yang, Y Zou, X Hu, D Lo, C Ni, J Grundy, X Xia Proceedings of the 31st ACM Joint European Software Engineering Conference …, 2023 | | 2023 |
