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Advances in Neural Information Processing Systems|December 15, 2025
Counterfactual-Augmented Importance Sampling for Semi-Offline Policy EvaluationShengpu Tang, Jenna Wiens
Proceedings of Machine Learning Research|June 15, 2022
Model Selection for Offline Reinforcement Learning: Practical Considerations for Healthcare SettingsShengpu Tang, Jenna Wiens
Journal of the American Medical Informatics Association : JAMIA|October 11, 2020
Democratizing EHR analyses with FIDDLE: a flexible data-driven preprocessing pipeline for structured clinical dataShengpu Tang, Parmida Davarmanesh, Yanmeng Song, et al.
JCO Clinical Cancer Informatics|February 22, 2020
Predicting Acute Graft-Versus-Host Disease Using Machine Learning and Longitudinal Vital Sign Data From Electronic Health RecordsShengpu Tang, Grant T Chappell, Amanda Mazzoli, et al.
American Journal of Surgery|April 6, 2021
Predicting postoperative opioid use with machine learning and insurance claims in opioid-naïve patientsJaewon Hur, Shengpu Tang, Vidhya Gunaseelan, et al.
Health Affairs (Project Hope)|December 6, 2021
Respecting Autonomy And Enabling Diversity: The Effect Of Eligibility And Enrollment On Research Data DemographicsKayte Spector-Bagdady, Shengpu Tang, Sarah Jabbour, et al.
Proceedings of Machine Learning Research|June 27, 2025
From Biased Selective Labels to Pseudo-Labels: An Expectation-Maximization Framework for Learning from Biased DecisionsTrenton Chang, Jenna Wiens
Clinical Infectious Diseases : an Official Publication of the Infectious Diseases Society of America|October 12, 2017
Machine Learning for Healthcare: On the Verge of a Major Shift in Healthcare EpidemiologyJenna Wiens, Erica S Shenoy
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