Chong Wang

Orcid: 0000-0002-9749-6705

Affiliations:
  • Amazon Ads, NY, USA
  • S&P Global, NY, USA
  • New Jersey Institute of Technology (NJIT), Department of Information Systems, Newark, NJ, USA (PhD 2017)


According to our database1, Chong Wang authored at least 13 papers between 2015 and 2023.

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

Timeline

Legend:

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Article 
PhD thesis 
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Links

Online presence:

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Bibliography

2023
Reserve Price optimization in First-Price Auctions via Multi-Task Learning.
Proceedings of the IEEE International Conference on Data Mining, 2023

2020
Topical classification of domain names based on subword embeddings.
Electron. Commer. Res. Appl., 2020

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

Reserve Price Failure Rate Prediction with Header Bidding in Display Advertising.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 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

A session-specific opportunity cost model for rank-oriented recommendation.
J. Assoc. Inf. Sci. Technol., 2018

Keyword Search on Temporal Graphs.
Proceedings of the 34th IEEE International Conference on Data Engineering, 2018

2017
Probabilistic Models for Ad Viewability Prediction on the Web.
IEEE Trans. Knowl. Data Eng., 2017

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

2016
Webpage Depth-level Dwell Time Prediction.
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

2015
Revenue-Optimized Webpage Recommendation.
Proceedings of the IEEE International Conference on Data Mining Workshop, 2015

Viewability Prediction for Online Display Ads.
Proceedings of the 24th ACM International Conference on Information and Knowledge Management, 2015


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