Cuiyun GAO
Cuiyun GAO
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Cited by
Cited by
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
Contextualized code representation learning for commit message generation
LY Nie, C Gao, Z Zhong, W Lam, Y Liu, Z Xu
arXiv preprint arXiv:2007.06934, 2020
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