Publications

Optimizing loop diuretic treatment for mortality reduction in patients with acute dyspnea using a practical offline reinforcement learning pipeline for healthcare: a retrospective single center simulation study

JMIR Medical Informatics, Sep 2025

Guiding Clostridioides difficile Infection Prevention Efforts in a Hospital Setting With AI

JAMA Network Open, Jun 2025
Shengpu Tang, Stephanie Shepard, Rebekah Clark, Erkin Ötleş, Chidimma Udegbunam, Josh Tran, Melinda Seiler, Justin Ortwine, Akbar K. Waljee, Jerod Nagel, Sarah L. Krein, Jacob E. Kurlander, Paul J. Grant, Jihoon Baang, Anastasia Wasylyshyn, Krishna Rao, Jenna Wiens

Targeting Clostridioides difficile Infection Prevention Efforts with Artificial Intelligence

IDWeek Oral Abstract, Oct 2024; Published in Open Forum Infectious Diseases
Shengpu Tang, Rebekah Clark, Stephanie Shepard, Erkin Ötleş, Maxim Garifullin, Melinda Seiler, Justin Ortwine, Patrick Arnold, Jerod Nagel, Jeremy Jared, Sarah L Krein, Jacob E Kurlander, Paul J Grant, Jihoon Baang, Anastasia Wasylyshyn, Krishna Rao, Jenna Wiens

CANDOR: Counterfactual ANnotated DOubly Robust off-policy evaluation

under review
Aishwarya Mandyam, Shengpu Tang, Jiayu Yao, Emma Brunskill, Jenna Wiens, Barbara E Engelhardt

Counterfactual-Augmented Importance Sampling for Semi-Offline Policy Evaluation

NeurIPS 2023

Leveraging Factored Action Spaces for Off-Policy Evaluation

Frontiers4LCD @ ICML 2023, Counterfactuals @ ICML 2023
Aaman Peter Rebello, Shengpu Tang, Jenna Wiens, Sonali Parbhoo

Towards Data-Driven Offline Simulations for Online Reinforcement Learning

Offline RL @ NeurIPS 2022
Shengpu Tang, Felipe Vieira Frujeri, Dipendra Misra, Alex Lamb, John Langford, Paul Mineiro, Sebastian Kochman

Leveraging Factored Action Spaces for Efficient Offline Reinforcement Learning in Healthcare

NeurIPS 2022 (Oral); also at DARL @ ICML 2022
Shengpu Tang, Maggie Makar, Michael W. Sjoding, Finale Doshi-Velez, Jenna Wiens

Early Identification of Patients Admitted to Hospital for COVID-19 at Risk of Clinical Deterioration: Model Development and Multisite External Validation Study

The BMJ (British Medical Journal), Feb 2022
Shengpu Tang*, Fahad Kamran*, Erkin Ötleş, Dustin S. McEvoy, Sameh N. Saleh, Jen Gong, Benjamin Y. Li, Sayon Dutta, Xinran Liu, Richard J. Medford, Thomas S. Valley, Lauren R. West, Karandeep Singh, Seth Blumberg, John P. Donnelly, Erica S. Shenoy, John Z. Ayanian, Brahmajee K. Nallamothu, Michael W. Sjoding†, Jenna Wiens†

Respecting Autonomy and Enabling Diversity: The Effect of Eligibility and Enrollment on Research Data Demographics

Health Affairs, Dec 2021
Shengpu Tang*, Kayte Spector-Bagdady*, Sarah Jabbour*, W. Nicholson Price II, Ana Bracic, Melissa S. Creary, Sachin Kheterpal, Chad M. Brummett, Jenna Wiens

Model Selection for Offline Reinforcement Learning: Practical Considerations for Healthcare Settings

MLHC 2021; also at RL4RealLife @ ICML 2021

Predicting Postoperative Opioid Use with Machine Learning and Insurance Claims in Opioid-Naïve Patients

The American Journal of Surgery, 2021
Shengpu Tang*, Jaewon Hur*, Vidhya Gunaseelan, Joceline Vu, Chad M. Brummett, Michael Englesbe, Jennifer Waljee†, Jenna Wiens†

Democratizing EHR Analyses with FIDDLE - A Flexible Data-Driven Preprocessing Pipeline for Structured Clinical Data

Journal of the American Medical Informatics Association, 2020
Shengpu Tang, Parmida Davarmanesh, Yanmeng Song, Michael W. Sjoding, Danai Koutra, Jenna Wiens

Clinician-in-the-loop Decision Making: Reinforcement Learning with Near-Optimal Set-Valued Policies

ICML 2020

Evaluating a Widely Implemented Proprietary Deterioration Index Model Among Hospitalized COVID-19 Patients

Annals of the American Thoracic Society, 2021
Karandeep Singh, Thomas S. Valley, Shengpu Tang, Benjamin Y. Li, Fahad Kamran, Michael W. Sjoding, Jenna Wiens, Erkin Otles, John P. Donnelly, Melissa Y. Wei, Jonathon P. McBride, Jie Cao, Carleen Penoza, John Z. Ayanian, Brahmajee K. Nallamothu

Predicting Acute Graft-versus-Host Disease Using Machine Learning and Longitudinal Vital Sign Data from Electronic Health Records

JCO Clinical Cancer Informatics, 2020
Shengpu Tang, Grant T. Chappell, Amanda Mazzoli, Muneesh Tewari, Sung Won Choi*, Jenna Wiens*

Relaxed Parameter Sharing: Effectively Modeling Time-Varying Relationships in Clinical Time-Series

MLHC 2019

A BioHackathon on the challenges of aging: Rapid need-finding and solution modeling in a student-led event

an 8-hour “BioHackathon” of brainstorming to tackle current challenges with “Aging”
Shengpu Tang, Et Al