| 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 | 171 | 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 | 155 | 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 | 134 | 2018 |
| No more fine-tuning? an experimental evaluation of prompt tuning in code intelligence C Wang, Y Yang, C Gao, Y Peng, H Zhang, MR Lyu Proceedings of the 30th ACM joint European software engineering conference …, 2022 | 105 | 2022 |
| 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 | 94 | 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 | 73 | 2021 |
| 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 | 64 | 2023 |
| Persistent graph stream summarization for real-time graph analytics Y Jia, Z Gu, Z Jiang, C Gao, J Yang World Wide Web 26 (5), 2647-2667, 2023 | 60 | 2023 |
| 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 | 60 | 2021 |
| 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 | 59 | 2021 |
| 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 | 54 | 2019 |
| 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 | 54 | 2018 |
| 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 | 53 | 2020 |
| 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 | 52 | 2016 |
| Static inference meets deep learning: a hybrid type inference approach for python Y Peng, C Gao, Z Li, B Gao, D Lo, Q Zhang, M Lyu Proceedings of the 44th International Conference on Software Engineering …, 2022 | 50* | 2022 |
| 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 | 49 | 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 | 45 | 2015 |
| 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 | 44 | 2019 |
| 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 | 40 | 2021 |
| Cctest: Testing and repairing code completion systems Z Li, C Wang, Z Liu, H Wang, D Chen, S Wang, C Gao 2023 IEEE/ACM 45th International Conference on Software Engineering (ICSE …, 2023 | 37 | 2023 |
Michael R. LyuProfessor of Computer Science & Engineering, The Chinese University of Hong Kong在 cse.cuhk.edu.hk 的电子邮件经过验证
