Publications

2025

1. BigDataService

   

   Stock Market Forecasting with Pretrained Deep Learning Models

   Son Tung Do, Anthony Chu, Yijun Zhao, and Yanjun Li

   In 2025 IEEE 11th International Conference on Big Data Computing Service and Machine Learning Applications (BigDataService), 2025

   DOI Bib PDF

   

   @inproceedings{BigDataService2025,
     author = {Do, Son Tung and Chu, Anthony and Zhao, Yijun and Li, Yanjun},
     booktitle = {2025 IEEE 11th International Conference on Big Data Computing Service and Machine Learning Applications (BigDataService)},
     title = {Stock Market Forecasting with Pretrained Deep Learning Models},
     year = {2025},
     volume = {},
     number = {},
     pages = {142-146},
     keywords = {Deep learning;Analytical models;Sentiment analysis;Social networking (online);Time series analysis;Predictive models;Real-time systems;Synchronization;Stock markets;Forecasting;Sentimental Analysis;Social Media;Stock Market Change;Twitter;Large Language Models;Zero-shot Classification;Textual Entailment;Random Forest Classifier;Time-series Forecasting},
     doi = {10.1109/BigDataService65758.2025.00026},
   }

2024

1. EDM

   

   Predicting GRE Scores from Application Materials in Test-Optional Admissions

   Yijun Zhao, Zhengxin Qi, Son Tung Do, John Grossi, Jee Hun Kang, and Gary M. Weiss

   In Proceedings of the 17th International Conference on Educational Data Mining, Jun 2024

   DOI Bib PDF

   

   @inproceedings{edm2024,
     author = {Zhao, Yijun and Qi, Zhengxin and Do, Son Tung and Grossi, John and Kang, Jee Hun and Weiss, Gary M.},
     booktitle = {Proceedings of the 17th International Conference on Educational Data Mining},
     doi = {10.5281/zenodo.12729770},
     isbn = {978-1-7336736-5-5},
     pages = {30--39},
     publisher = {International Educational Data Mining Society},
     title = {Predicting GRE Scores from Application Materials in Test-Optional Admissions},
     year = {2024},
     month = jun,
   }

2023

1. CNS

   

   Adversarial Manipulation of Learning in Linear-Quadratic Zero-Sum Differential Games via Cost Poisoning

   Son Tung Do, Gabrielle Ebbrecht, and Juntao Chen

   In Cyber Resilience Workshop at IEEE Conference on Communications and Network Security (CNS), Oct 2023

   DOI Bib PDF

   

   @inproceedings{cns2023,
     author = {Do, Son Tung and Ebbrecht, Gabrielle and Chen, Juntao},
     booktitle = {Cyber Resilience Workshop at IEEE Conference on Communications and Network Security (CNS)},
     title = {Adversarial Manipulation of Learning in Linear-Quadratic Zero-Sum Differential Games via Cost Poisoning},
     year = {2023},
     month = oct,
     pages = {1-6},
     keywords = {Costs;Data integrity;Games;Differential games;Network security;Control systems;Data models},
     doi = {10.1109/CNS59707.2023.10288942},
   }

2. CISS

   

   Policy Poisoning in Batch Learning for Linear Quadratic Control Systems via State Manipulation

   Courtney M. King, Son Tung Do, and Juntao Chen

   In 57th Annual Conference on Information Sciences and Systems (CISS), Mar 2023

   DOI arXiv Bib PDF

   

   @inproceedings{ciss2023,
     author = {King, Courtney M. and Do, Son Tung and Chen, Juntao},
     booktitle = {57th Annual Conference on Information Sciences and Systems (CISS)},
     title = {Policy Poisoning in Batch Learning for Linear Quadratic Control Systems via State Manipulation},
     year = {2023},
     month = mar,
     pages = {1-6},
     keywords = {System performance;Computational modeling;Control systems;Approximation algorithms;Data models;Convex functions;Computational efficiency},
     doi = {10.1109/CISS56502.2023.10089721},
   }