Shuai Zhao

Affiliations:
  • New Jersey Institute of Technology, Martin Tuchman School of Management, Newark, NJ, USA


According to our database1, Shuai Zhao authored at least 14 papers between 2017 and 2025.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

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Bibliography

2025
A field study on the impact of the counter ad-blocking wall strategy on user engagement.
Decis. Support Syst., 2025

2023
Personalized Dynamic Counter Ad-Blocking Using Deep Learning.
IEEE Trans. Knowl. Data Eng., August, 2023

2021
FGLP: A Federated Fine-Grained Location Prediction System for Mobile Users.
CoRR, 2021

Federated Meta-Location Learning for Fine-Grained Location Prediction.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

2020
To be Tough or Soft: Measuring the Impact of Counter-Ad-blocking Strategies on User Engagement.
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

Cellular Network Traffic Prediction Incorporating Handover: A Graph Convolutional Approach.
Proceedings of the 17th Annual IEEE International Conference on Sensing, 2020

Characterizing and Learning Representation on Customer Contact Journeys in Cellular Services.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Privacy-Aware Federated Learning for Page Recommendation.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

2019
Webpage Depth Viewability Prediction Using Deep Sequential Neural Networks.
IEEE Trans. Knowl. Data Eng., 2019

Speaking with Actions - Learning Customer Journey Behavior.
Proceedings of the 13th IEEE International Conference on Semantic Computing, 2019

Ad Blocking Whitelist Prediction for Online Publishers.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

2018
Predictive models and analysis for webpage depth-level dwell time.
J. Assoc. Inf. Sci. Technol., 2018

Packaging and Sharing Machine Learning Models via the Acumos AI Open Platform.
Proceedings of the 17th IEEE International Conference on Machine Learning and Applications, 2018

2017
Ad Blocking and Counter-Ad Blocking: Analysis of Online Ad Blocker Usage.
Proceedings of the 23rd Americas Conference on Information Systems, 2017


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