Wei Ai

Orcid: 0000-0001-6271-9430

Affiliations:
  • University of Maryland, College Park, MD, USA


According to our database1, Wei Ai authored at least 25 papers between 2015 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

Online presence:

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Bibliography

2024
Adoption of Recurrent Innovations: A Large-Scale Case Study on Mobile App Updates.
ACM Trans. Web, February, 2024

Large Language Models and Causal Inference in Collaboration: A Comprehensive Survey.
CoRR, 2024

From Adoption to Adaption: Tracing the Diffusion of New Emojis on Twitter.
CoRR, 2024

Emojis Decoded: Leveraging ChatGPT for Enhanced Understanding in Social Media Communications.
CoRR, 2024

Pitfalls in Link Prediction with Graph Neural Networks: Understanding the Impact of Target-link Inclusion & Better Practices.
Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

2023
Putting Teams into the Gig Economy: A Field Experiment at a Ride-Sharing Platform.
Manag. Sci., September, 2023

Explore Spurious Correlations at the Concept Level in Language Models for Text Classification.
CoRR, 2023

Kid-Whisper: Towards Bridging the Performance Gap in Automatic Speech Recognition for Children VS. Adults.
CoRR, 2023

Emoji Promotes Developer Participation and Issue Resolution on GitHub.
CoRR, 2023

SpotTarget: Rethinking the Effect of Target Edges for Link Prediction in Graph Neural Networks.
CoRR, 2023

GFairHint: Improving Individual Fairness for Graph Neural Networks via Fairness Hint.
CoRR, 2023

Team Resilience under Shock: An Empirical Analysis of GitHub Repositories during Early COVID-19 Pandemic.
Proceedings of the Seventeenth International AAAI Conference on Web and Social Media, 2023

2022
#Emoji: A Study on the Association between Emojis and Hashtags on Twitter.
Proceedings of the Sixteenth International AAAI Conference on Web and Social Media, 2022

2021
Emojis Predict Dropouts of Remote Workers: An Empirical Study of Emoji Usage on GitHub.
CoRR, 2021

2020
Predicting Individual Treatment Effects of Large-scale Team Competitions in a Ride-sharing Economy.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

2019
Recommendation-based Team Formation for On-demand Taxi-calling Platforms.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

2018
Through a Gender Lens: Learning Usage Patterns of Emojis from Large-Scale Android Users.
Proceedings of the 2018 World Wide Web Conference on World Wide Web, 2018

Taxi or Hitchhiking: Predicting Passenger's Preferred Service on Ride Sharing Platforms.
Proceedings of the 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, 2018

SIGIR 2018 Workshop on Intelligent Transportation Informatics.
Proceedings of the 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, 2018

2017
Deriving User Preferences of Mobile Apps from Their Management Activities.
ACM Trans. Inf. Syst., 2017

Through a Gender Lens: An Empirical Study of Emoji Usage over Large-Scale Android Users.
CoRR, 2017

Untangling Emoji Popularity Through Semantic Embeddings.
Proceedings of the Eleventh International Conference on Web and Social Media, 2017

2016
Voting with Their Feet: Inferring User Preferences from App Management Activities.
Proceedings of the 25th International Conference on World Wide Web, 2016

Learning from the ubiquitous language: an empirical analysis of emoji usage of smartphone users.
Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing, 2016

2015
A Descriptive Analysis of a Large-Scale Collection of App Management Activities.
Proceedings of the 24th International Conference on World Wide Web Companion, 2015


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