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Wei Ai
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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
2642016
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
216*2018
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
1202017
Recommending teams promotes prosocial lending in online microfinance
W Ai, R Chen, Y Chen, Q Mei, W Phillips
Proceedings of the National Academy of Sciences 113 (52), 14944-14948, 2016
492016
Voting with their feet: Inferring user preferences from app management activities
H Li, W Ai, X Liu, J Tang, G Huang, F Feng, Q Mei
Proceedings of the 25th international conference on world wide web, 1351-1362, 2016
402016
Deriving user preferences of mobile apps from their management activities
X Liu, W Ai, H Li, J Tang, G Huang, F Feng, Q Mei
ACM Transactions on Information Systems (TOIS) 35 (4), 1-32, 2017
382017
Putting teams into the gig economy: A field experiment at a ride-sharing platform
W Ai, Y Chen, Q Mei, J Ye, L Zhang
Management Science 69 (9), 5336-5353, 2023
212023
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
142022
Recommendation-based team formation for on-demand taxi-calling platforms
L Zhang, T Song, Y Tong, Z Zhou, D Li, W Ai, L Zhang, G Wu, Y Liu, J Ye
Proceedings of the 28th ACM International Conference on Information and …, 2019
132019
Predicting individual treatment effects of large-scale team competitions in a ride-sharing economy
T Ye, W Ai, L Zhang, N Luo, L Zhang, J Ye, Q Mei
Proceedings of the 26th ACM SIGKDD International Conference on Knowledge …, 2020
122020
A descriptive analysis of a large-scale collection of app management activities
H Li, X Liu, W Ai, Q Mei, F Feng
Proceedings of the 24th International Conference on World Wide Web, 61-62, 2015
92015
Taxi or Hitchhiking: Predicting Passenger's Preferred Service on Ride Sharing Platforms
L Zhang, W Ai, C Yuan, Y Zhang, J Ye
The 41st International ACM SIGIR Conference on Research & Development in …, 2018
82018
Large language models and causal inference in collaboration: A comprehensive survey
X Liu, P Xu, J Wu, J Yuan, Y Yang, Y Zhou, F Liu, T Guan, H Wang, T Yu, ...
arXiv preprint arXiv:2403.09606, 2024
72024
Team resilience under shock: An empirical analysis of github repositories during early covid-19 pandemic
X Lu, W Ai, Y Wang, Q Mei
Proceedings of the International AAAI Conference on Web and Social Media 17 …, 2023
62023
Kid-Whisper: Towards Bridging the Performance Gap in Automatic Speech Recognition for Children VS. Adults
A Adel Attia, J Liu, W Ai, D Demszky, C Espy-Wilson
arXiv e-prints, arXiv: 2309.07927, 2023
4*2023
Virtual teams in a gig economy
T Ye, W Ai, Y Chen, Q Mei, J Ye, L Zhang
Proceedings of the National Academy of Sciences 119 (51), e2206580119, 2022
4*2022
GFairHint: Improving Individual Fairness for Graph Neural Networks via Fairness Hint
P Xu, Y Zhou, B An, W Ai, F Huang
Workshop on Trustworthy and Socially Responsible Machine Learning, NeurIPS 2022, 2022
42022
#Emoji: A Study on the Association between Emojis and Hashtags on Twitter
Y Zhou, W Ai
The 16th International AAAI Conference on Web and Social Media, 2022
32022
Explore Spurious Correlations at the Concept Level in Language Models for Text Classification
Y Zhou, P Xu, X Liu, B An, W Ai, F Huang
arXiv preprint arXiv:2311.08648, 2023
22023
Emoji promotes developer participation and issue resolution on github
Y Zhou, X Lu, G Gao, Q Mei, W Ai
arXiv preprint arXiv:2308.16360, 2023
22023
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학술자료 1–20