Wen-Yueh Shih
Orcid: 0000-0003-1084-5704
According to our database1,
Wen-Yueh Shih
authored at least 16 papers
between 2016 and 2023.
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Bibliography
2023
A Robust Real Time Bidding Strategy Against Inaccurate CTR Predictions by Using Cluster Expected Win Rate.
IEEE Access, 2023
Proceedings of the IEEE International Conference on Big Data and Smart Computing, 2023
2022
J. Supercomput., 2022
Proceedings of the IEEE International Conference on Big Data and Smart Computing, 2022
2021
Proceedings of the 22nd Asia-Pacific Network Operations and Management Symposium, 2021
2020
ACM Trans. Intell. Syst. Technol., 2020
An Expected Win Rate-Based Real Time Bidding Strategy for Branding Campaign by the Model-Free Reinforcement Learning Model.
IEEE Access, 2020
Online Structural Break Detection for Pairs Trading Using Wavelet Transform and Hybrid Deep Learning Model.
Proceedings of the 2020 IEEE International Conference on Big Data and Smart Computing, 2020
2019
An expected win rate-based real-time bidding strategy for branding campaigns on display advertising.
Knowl. Inf. Syst., 2019
Design of a Data Collection System with Data Compression for Small Manufacturers in Industrial IoT Environments.
Proceedings of the 20th Asia-Pacific Network Operations and Management Symposium, 2019
2018
Proceedings of the 2018 IEEE 42nd Annual Computer Software and Applications Conference, 2018
2017
A gamma-based regression for winning price estimation in real-time bidding advertising.
Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017
SEM: A Softmax-based Ensemble Model for CTR estimation in Real-Time Bidding advertising.
Proceedings of the 2017 IEEE International Conference on Big Data and Smart Computing, 2017
A classification-based elephant flow detection method using application round on SDN environments.
Proceedings of the 19th Asia-Pacific Network Operations and Management Symposium, 2017
2016
Predicting traffic of online advertising in real-time bidding systems from perspective of demand-side platforms.
Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016