| On the Reproducibility and Replicability of Deep Learning in Software Engineering Chao Liu, Cuiyun Gao, Xin Xia, David Lo, John Grundy, Xiaohu Yang ACM Transactions on Software Engineering and Methodology 31 (1), 1-46, 2021 | 228* | 2021 |
| A two-phase transfer learning model for cross-project defect prediction C Liu, D Yang, X Xia, M Yan, X Zhang Information and Software Technology 107, 125-136, 2019 | 141 | 2019 |
| Improving code search with co-attentive representation learning J Shuai, L Xu, C Liu, M Yan, X Xia, Y Lei Proceedings of the 28th International Conference on Program Comprehension …, 2020 | 110 | 2020 |
| Opportunities and challenges in code search tools C Liu, X Xia, D Lo, C Gao, X Yang, J Grundy ACM Computing Surveys (CSUR) 54 (9), 1-40, 2021 | 81 | 2021 |
| Improving chatgpt prompt for code generation C Liu, X Bao, H Zhang, N Zhang, H Hu, X Zhang, M Yan arXiv preprint arXiv:2305.08360, 2023 | 61 | 2023 |
| Two-stage attention-based model for code search with textual and structural features L Xu, H Yang, C Liu, J Shuai, M Yan, Y Lei, Z Xu 2021 IEEE International Conference on Software Analysis, Evolution and …, 2021 | 53 | 2021 |
| Recommending github projects for developer onboarding C Liu, D Yang, X Zhang, B Ray, MM Rahman IEEE Access 6, 52082-52094, 2018 | 46 | 2018 |
| Multi-dimension convolutional neural network for bug localization B Wang, L Xu, M Yan, C Liu, L Liu IEEE Transactions on Services Computing 15 (3), 1649-1663, 2020 | 28 | 2020 |
| Codematcher: Searching code based on sequential semantics of important query words C Liu, X Xia, D Lo, Z Liu, AE Hassan, S Li ACM Transactions on Software Engineering and Methodology (TOSEM) 31 (1), 1-37, 2021 | 25 | 2021 |
| Automated change-prone class prediction on unlabeled dataset using unsupervised method M Yan, X Zhang, C Liu, L Xu, M Yang, D Yang Information and Software Technology 92, 1-16, 2017 | 23 | 2017 |
| Cross-project change-proneness prediction C Liu, D Yang, X Xia, M Yan, X Zhang 2018 IEEE 42nd annual computer software and applications conference (COMPSAC …, 2018 | 20 | 2018 |
| Simplifying deep-learning-based model for code search C Liu, X Xia, D Lo, Z Liu, AE Hassan, S Li arXiv preprint arXiv:2005.14373, 2020 | 13 | 2020 |
| Fine-grained co-attentive representation learning for semantic code search Z Deng, L Xu, C Liu, M Yan, Z Xu, Y Lei 2022 IEEE International Conference on Software Analysis, Evolution and …, 2022 | 11 | 2022 |
| Deep metric learning for software change-proneness prediction Y Ge, M Chen, C Liu, F Chen, S Huang, H Wang Intelligence Science and Big Data Engineering: 8th International Conference …, 2018 | 9 | 2018 |
| A recommender system for developer onboarding C Liu, D Yang, X Zhang, H Hu, J Barson, B Ray Proceedings of the 40th International Conference on Software Engineering …, 2018 | 8 | 2018 |
| Self-learning Change-prone Class Prediction. M Yan, M Yang, C Liu, X Zhang SEKE, 134-140, 2016 | 6 | 2016 |
| Shellfusion: Answer generation for shell programming tasks via knowledge fusion N Zhang, C Liu, X Xia, C Treude, Y Zou, D Lo, Z Zheng Proceedings of the 44th International Conference on Software Engineering …, 2022 | 5 | 2022 |
| Learning to aggregate: an automated aggregation method for software quality model M Yan, X Zhang, C Liu, J Zou, L Xu, X Xia 2017 IEEE/ACM 39th International Conference on Software Engineering …, 2017 | 5 | 2017 |
| CodeMatcher: a tool for large-scale code search based on query semantics matching C Liu, X Bao, X Xia, M Yan, D Lo, T Zhang Proceedings of the 30th ACM Joint European Software Engineering Conference …, 2022 | 3 | 2022 |
| Non-gaussian lagrangian stochastic model for wind field simulation in the surface layer C Liu, L Fu, D Yang, DR Miller, J Wang Advances in Atmospheric Sciences 37, 90-104, 2020 | 3 | 2020 |
Meng Yan (鄢萌)Chongqing University, ChinaVerified email at cqu.edu.cn