| 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 | 61 | 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 | 43 | 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 | 32 | 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 | 29 | 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 | 28 | 2015 |
| 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 | 27 | 2016 |
| 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 | 14 | 2018 |
| 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 | 14 | 2015 |
| 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 | 13 | 2019 |
| 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 | 13 | 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 | 10 | 2019 |
| 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 | 9 | 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 | 6 | 2020 |
| 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 | 6 | 2020 |
| 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 | 6 | 2018 |
| Why an Android app is classified as malware? Towards malware classification interpretation B Wu, S Chen, C Gao, L Fan, Y Liu, W Wen, M Lyu arXiv preprint arXiv:2004.11516, 2020 | 5 | 2020 |
| Exploring the effects of ad schemes on the performance cost of mobile phones C Gao, J Zeng, F Sarro, MR Lyu, I King Proceedings of the 1st International Workshop on Advances in Mobile App …, 2018 | 5 | 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 | 4 | 2020 |
| Intelliad understanding in-app ad costs from users perspective C Gao, H Xu, Y Man, Y Zhou, MR Lyu arXiv preprint arXiv:1607.03575, 2016 | 3 | 2016 |
| IntelliAd: assisting mobile app developers in measuring ad costs automatically C Gao, Y Man, H Xu, J Zhu, Y Zhou, MR Lyu 2017 IEEE/ACM 39th International Conference on Software Engineering …, 2017 | 2 | 2017 |
Michael R. LyuProfessor of Computer Science & Engineering, The Chinese University of Hong KongVerified email at cse.cuhk.edu.hk
