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
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
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
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
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
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
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
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
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
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
Persistent graph stream summarization for real-time graph analytics
Y Jia, Z Gu, Z Jiang, C Gao, J Yang
World Wide Web, 1-21, 2023
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
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
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
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
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
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
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
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
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
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