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 | 99 | 2018 |
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 | 79 | 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 | 72 | 2019 |
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 | 37 | 2016 |
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 | 35 | 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 | 34 | 2015 |
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 | 31 | 2019 |
ATOM: Commit message generation based on abstract syntax tree and hybrid ranking S Liu, C Gao, S Chen, NL Yiu, Y Liu IEEE Transactions on Software Engineering, 2020 | 26 | 2020 |
A deep dive into the impact of covid-19 on software development P Silveira, UA Mannan, ES Almeida, N Nagappan, D Lo, PS Kochhar, ... IEEE Transactions on Software Engineering, 2021 | 23* | 2021 |
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 | 21 | 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 | 20 | 2019 |
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 | 20 | 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 | 20 | 2019 |
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 | 17 | 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 | 16 | 2020 |
SpyAware: Investigating the privacy leakage signatures in app execution traces H Xu, Y Zhou, C Gao, Y Kang, MR Lyu 2015 IEEE 26th International Symposium on Software Reliability Engineering …, 2015 | 16 | 2015 |
INFAR: Insight extraction from app reviews C Gao, J Zeng, D Lo, CY Lin, MR Lyu, I King Proceedings of the 2018 26th ACM Joint Meeting on European Software …, 2018 | 15 | 2018 |
On the replicability and reproducibility of deep learning in software engineering C Liu, C Gao, X Xia, D Lo, J Grundy, X Yang arXiv preprint arXiv:2006.14244, 2020 | 12 | 2020 |
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 | 11 | 2021 |
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 | 9 | 2021 |