| Topic memory networks for short text classification J Zeng, J Li, Y Song, C Gao, MR Lyu, I King arXiv preprint arXiv:1809.03664, 2018 | 137 | 2018 |
| An empirical study of common challenges in developing deep learning applications T Zhang, C Gao, L Ma, M Lyu, M Kim 2019 IEEE 30th International Symposium on Software Reliability Engineering …, 2019 | 115 | 2019 |
| Online app review analysis for identifying emerging issues C Gao, J Zeng, MR Lyu, I King Proceedings of the 40th International Conference on Software Engineering, 48-58, 2018 | 104 | 2018 |
| ATOM: Commit message generation based on abstract syntax tree and hybrid ranking S Liu, C Gao, S Chen, LY Nie, Y Liu IEEE Transactions on Software Engineering 48 (5), 1800-1817, 2020 | 59 | 2020 |
| A deep dive into the impact of covid-19 on software development PAMS Neto, UA Mannan, ES de Almeida, N Nagappan, D Lo, PS Kochhar, ... IEEE Transactions on Software Engineering 48 (9), 3342-3360, 2021 | 41 | 2021 |
| Experience report: Understanding cross-platform app issues from user reviews Y Man, C Gao, MR Lyu, J Jiang 2016 IEEE 27th international symposium on software reliability engineering …, 2016 | 41 | 2016 |
| Emerging app issue identification from user feedback: Experience on wechat C Gao, W Zheng, Y Deng, D Lo, J Zeng, MR Lyu, I King 2019 IEEE/ACM 41st International Conference on Software Engineering …, 2019 | 40 | 2019 |
| Paid: Prioritizing app issues for developers by tracking user reviews over versions C Gao, B Wang, P He, J Zhu, Y Zhou, MR Lyu 2015 IEEE 26th international symposium on software reliability engineering …, 2015 | 40 | 2015 |
| Ar-tracker: Track the dynamics of mobile apps via user review mining C Gao, H Xu, J Hu, Y Zhou 2015 IEEE Symposium on Service-Oriented System Engineering, 284-290, 2015 | 40 | 2015 |
| On the reproducibility and replicability of deep learning in software engineering C Liu, C Gao, X Xia, D Lo, J Grundy, X Yang ACM Transactions on Software Engineering and Methodology (TOSEM) 31 (1), 1-46, 2021 | 38 | 2021 |
| 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 | 38 | 2021 |
| Core: Automating review recommendation for code changes JK Siow, C Gao, L Fan, S Chen, Y Liu 2020 IEEE 27th International Conference on Software Analysis, Evolution and …, 2020 | 35 | 2020 |
| Detecting duplicate bug reports with convolutional neural networks Q Xie, Z Wen, J Zhu, C Gao, Z Zheng 2018 25th Asia-Pacific Software Engineering Conference (APSEC), 416-425, 2018 | 35 | 2018 |
| Automating app review response generation C Gao, J Zeng, X Xia, D Lo, MR Lyu, I King 2019 34th IEEE/ACM International Conference on Automated Software …, 2019 | 33 | 2019 |
| Why an android app is classified as malware: Toward malware classification interpretation B Wu, S Chen, C Gao, L Fan, Y Liu, W Wen, MR Lyu ACM Transactions on Software Engineering and Methodology (TOSEM) 30 (2), 1-29, 2021 | 28 | 2021 |
| What you say and how you say it: Joint modeling of topics and discourse in microblog conversations J Zeng, J Li, Y He, C Gao, MR Lyu, I King Transactions of the Association for Computational Linguistics 7, 267-281, 2019 | 28 | 2019 |
| AC-Net: Assessing the consistency of description and permission in Android apps Y Feng, L Chen, A Zheng, C Gao, Z Zheng IEEE Access 7, 57829-57842, 2019 | 28 | 2019 |
| Code Structure–Guided Transformer for Source Code Summarization S Gao, C Gao, Y He, J Zeng, L Nie, X Xia, M Lyu ACM Transactions on Software Engineering and Methodology 32 (1), 1-32, 2023 | 27 | 2023 |
| CRaDLe: Deep code retrieval based on semantic dependency learning W Gu, Z Li, C Gao, C Wang, H Zhang, Z Xu, MR Lyu Neural Networks 141, 385-394, 2021 | 20 | 2021 |
| Coregen: contextualized code representation learning for commit message generation LY Nie, C Gao, Z Zhong, W Lam, Y Liu, Z Xu Neurocomputing 459, 97-107, 2021 | 19 | 2021 |
Michael R. LyuProfessor of Computer Science & Engineering, The Chinese University of Hong KongVerified email at cse.cuhk.edu.hk
