| 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 | 293 | 2016 |
| 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 | 232* | 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 | 129 | 2017 |
| 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 | 59 | 2024 |
| 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 | 53 | 2016 |
| 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 | 40 | 2016 |
| 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 | 39 | 2017 |
| 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 | 37 | 2023 |
| 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 | 16 | 2022 |
| 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 | 13 | 2019 |
| 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 AAAI/ACM Conference on Artificial Intelligence, Ethics, and Society (AIES …, 2024 | 12* | 2024 |
| 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 | 12 | 2020 |
| Pitfalls in link prediction with graph neural networks: Understanding the impact of target-link inclusion & better practices J Zhu, Y Zhou, VN Ioannidis, S Qian, W Ai, X Song, D Koutra Proceedings of the 17th ACM International Conference on Web Search and Data …, 2024 | 11 | 2024 |
| 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 | 9 | 2015 |
| 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 | 8 | 2022 |
| 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 | 8 | 2018 |
| Emojis decoded: Leveraging chatgpt for enhanced understanding in social media communications Y Zhou, P Xu, X Wang, X Lu, G Gao, W Ai ICWSM 2025, 2024 | 7 | 2024 |
| 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 | 7* | 2022 |
| 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 | 6 | 2023 |
| 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 ACL 2024, 2024 | 5 | 2024 |
Qiaozhu MeiProfessor, University of Michigan在 umich.edu 的电子邮件经过验证