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Xuan Lu
Xuan Lu
Assistant Professor, University of Arizona
在 arizona.edu 的电子邮件经过验证 - 首页
标题
引用次数
引用次数
年份
Learning from the ubiquitous language: an empirical analysis of emoji usage of smartphone users
X Lu, W Ai, X Liu, Q Li, N Wang, G Huang, Q Mei
Proceedings of the 2016 ACM international joint conference on pervasive and …, 2016
2832016
Through a gender lens: Learning usage patterns of emojis from large-scale android users
Z Chen, X Lu, W Ai, H Li, Q Mei, X Liu
Proceedings of the 2018 world wide web conference, 763-772, 2018
228*2018
Characterizing smartphone usage patterns from millions of android users
H Li, X Lu, X Liu, T Xie, K Bian, FX Lin, Q Mei, F Feng
Proceedings of the 2015 Internet Measurement Conference, 459-472, 2015
1462015
Modern senicide in the face of a pandemic: An examination of public discourse and sentiment about older adults and COVID-19 using machine learning
X Xiang, X Lu, A Halavanau, J Xue, Y Sun, PHL Lai, Z Wu
The Journals of Gerontology: Series B 76 (4), e190-e200, 2021
1312021
Untangling emoji popularity through semantic embeddings
W Ai, X Lu, X Liu, N Wang, G Huang, Q Mei
Proceedings of the international AAAI conference on web and social media 11 …, 2017
1262017
Model-based automated navigation and composition of complex service mashups
G Huang, Y Ma, X Liu, Y Luo, X Lu, MB Blake
IEEE Transactions on Services Computing 8 (3), 494-506, 2014
882014
Emoji-powered representation learning for cross-lingual sentiment classification
Z Chen, S Shen, Z Hu, X Lu, Q Mei, X Liu
The world wide web conference, 251-262, 2019
842019
Programming situational mobile web applications with cloud-mobile convergence: an internetware-oriented approach
G Huang, X Liu, Y Ma, X Lu, Y Zhang, Y Xiong
IEEE Transactions on Services Computing 12 (1), 6-19, 2016
722016
Sentimoji: an emoji-powered learning approach for sentiment analysis in software engineering
Z Chen, Y Cao, X Lu, Q Mei, X Liu
Proceedings of the 2019 27th ACM joint meeting on european software …, 2019
672019
PRADA: Prioritizing android devices for apps by mining large-scale usage data
X Lu, X Liu, H Li, T Xie, Q Mei, D Hao, G Huang, F Feng
Proceedings of the 38th International Conference on Software Engineering, 3-13, 2016
652016
Understanding diverse usage patterns from large-scale appstore-service profiles
X Liu, H Li, X Lu, T Xie, Q Mei, F Feng, H Mei
IEEE Transactions on Software Engineering 44 (4), 384-411, 2017
642017
Understanding and detecting fragmentation-induced compatibility issues for android apps
L Wei, Y Liu, SC Cheung, H Huang, X Lu, X Liu
IEEE Transactions on Software Engineering 46 (11), 1176-1199, 2018
572018
Emoji-powered sentiment and emotion detection from software developers’ communication data
Z Chen, Y Cao, H Yao, X Lu, X Peng, H Mei, X Liu
ACM Transactions on Software Engineering and Methodology (TOSEM) 30 (2), 1-48, 2021
502021
Towards release strategy optimization for apps in google play
S Shen, X Lu, Z Hu, X Liu
Proceedings of the 9th Asia-Pacific symposium on Internetware, 1-10, 2017
242017
Prado: Predicting app adoption by learning the correlation between developer-controllable properties and user behaviors
X Lu, Z Chen, X Liu, H Li, T Xie, Q Mei
Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous …, 2017
232017
A first look at emoji usage on github: An empirical study
X Lu, Y Cao, Z Chen, X Liu
arXiv preprint arXiv:1812.04863, 2018
222018
Emojis predict dropouts of remote workers: An empirical study of emoji usage on GitHub
X Lu, W Ai, Z Chen, Y Cao, Q Mei
Plos one 17 (1), e0261262, 2022
162022
Data-driven synthesis of multiple recommendation patterns to create situational Web mashups
Y Ma, X Lu, XZ Liu, XD Wang, MB Blake
Science China Information Sciences 56, 1-16, 2013
142013
Mining device-specific apps usage patterns from large-scale android users
H Li, X Lu
arXiv preprint arXiv:1707.09252, 2017
122017
Systematic analysis of fine-grained mobility prediction with on-device contextual data
H Li, F Lin, X Lu, C Xu, G Huang, J Zhang, Q Mei, X Liu
IEEE Transactions on Mobile Computing 21 (3), 1096-1109, 2020
82020
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