1. A Distribution Mapping Approach to Counterfactually Fair Reinforcement Learning. Jianhan Zhang, Jitao Wang, John Piette, Donglin Zeng, Chengchun Shi, Zhenke Wu (submitted) ► [paper link]

2. A Multimodal Benchmark for Evaluating Cause-of-Death Inference Using Child Health and Mortality Data. Junhe Yang, Soumyakanti Pan, Hyun Seung Lim, Yue Chu, Yuting Guo, Nishtha Agarwal, Varun Babbar, Gaurav Rajesh Parikh, Yiqun T. Chen, Chris A. Rees, Ziyaad Dangor, Sanjay G. Lala, Zehang Richard Li, Samuel J. Clark, Zhenke Wu, Abhirup Datta, Li Liu, Cynthia Rudin, Samuel V. Scarpino, Benjamin M. Gyori, Tyler H. McCormick (submitted) ► [paper link]

3. Prediction-based Inference in Electronic Health Record (EHR)-linked Biobanks with Clinically Informative Outcomes. Xingran Chen, Cheng-Han Yang, Zhenke Wu, Bhramar Mukherjee (submitted) ► [paper link]

4. A joint modeling approach to study the association between subject-level longitudinal marker variabilities and repeated outcomes. Irena Chen, Zhenke Wu, Sioban D Harlow, Carrie A Karvonen-Gutierrez, Michelle M Hood, Michael R Elliott (2025) ► Journal of Applied Statistics [paper link]

5. PyCFRL: A Python library for counterfactually fair offline reinforcement learning via sequential data preprocessing. Jianhan Zhang, Jitao Wang, Chengchun Shi, John Piette, Donglin Zeng, Zhenke Wu (submitted) ► [paper link] [code] [pdf] [poster] [supplement]

6. Beyond Average Value Function in Precision Medicine: Maximum Probability-Driven Reinforcement Learning for Survival Analysis. Jianqi Feng, Wei Zhao, Zhenke Wu, Chengchun Shi, Xiaodong Yan (2025) ► NeurIPS

7. A Unified Framework for Inference with General Missingness Patterns and Machine Learning Imputation. Xingran Chen, Tyler McCormick, Bhramar Mukherjee, Zhenke Wu (submitted) ► [paper link]

8. Generating Synthetic Electronic Health Record (EHR) Data: A Methodological Scoping Review with Benchmarking on Phenotype Data and Open-Source Software. Xingran Chen, Zhenke Wu, Xu Shi, Hyunghoon Cho, Bhramar Mukherjee (2025) ► Journal of the American Medical Informatics Association [paper link] [code] [doi]

9. Testing Stationarity and Change Point Detection in Reinforcement Learning. Mengbing Li, Chengchun Shi, Zhenke Wu, Piotr Fryzlewicz (2025) ► Annals of Statistics [paper link] [code]

10. Counterfactually Fair Reinforcement Learning via Sequential Data Preprocessing. Jitao Wang, Chengchun Shi, John Piette, Joshua Loftus, Donglin Zeng, Zhenke Wu (submitted) ► [paper link] [poster]

11. Multivariate Dynamic Mediation Analysis under a Reinforcement Learning Framework. Lan Luo*, Chengchun Shi*, Jitao Wang*, Zhenke Wu, Lexin Li (2025) ► Annals of Statistics [paper link] [doi]

12. Variance as a predictor of health outcomes:using subject-level trajectories and variability of sex hormones to predict body fat changes in peri- and post-menopausal women. Irena Chen, Zhenke Wu, Sioban D Harlow, Carrie A Karvonen-Gutierrez, Michelle M Hood, Michael R Elliott (2024) ► Annals of Applied Statistics [doi] [pdf] [supplement]

13. Tree-informed Bayesian multi-source domain adaptation: cross-population probabilistic cause-of-death assignment using verbal autopsy. Zhenke Wu, Zehang Richard Li, Irena Chen, Mengbing Li (2024) ► Biostatistics [paper link] [code] [supplement] [slides]

14. Etiology of acute lower respiratory illness hospitalizations among infants in four countries. John Kubale*, Stephanie Kujawski*, Irena Chen, Zhenke Wu, Ilham Abu Khader, Iris Hasibra, Brett Whitaker, Lionel Gresh, Artan Simaku, Eric A.F. Simões, Mahmoud Al-Gazo, Shannon Rogers, Susan I. Gerber, Angel Balmaseda, Veronica L. Tallo, Tareq M. Al-Sanouri, Rachael Porter, Silvia Bino, Eduardo Azziz-Baumgartner, Meredith McMorrow, Danielle Hunt, Mark Thompson, Holly M. Biggs, Aubree Gordon (2023) ► Open Forum Infectious Diseases [doi]

15. Bayesian Nested Latent Class Models for Cause-of-Death Assignment using Verbal Autopsies Across Multiple Domains. Zehang Richard Li, Zhenke Wu, Irena Chen, Samuel Clark (2024) ► Annals of Applied Statistics [code] [doi]

16. An Automatically-Adaptive Digital Health Intervention to Decrease Opioid-Related Risk While Conserving Counselor Time: Analysis of Treatment Decisions Based on Artificial Intelligence and Patient-Reported Risk Measures. John D Piette, Laura Thomas, Sean Newman, Nicolle Marinec, Joel Krauss, Jenny Chen, Zhenke Wu, Amy SB Bohnert (2023) ► Journal of Medical Internet Research

17. A Reinforcement Learning Framework for Dynamic Mediation Analysis. Lin Ge, Jitao Wang, Chengchun Shi, Zhenke Wu, Rui Song (2023) ► ICML [paper link] [code]

18. A Robust Test for the Stationarity Assumption in Sequential Decision Making. Jitao Wang, Chengchun Shi, Zhenke Wu (2023) ► ICML [paper link] [code] [pdf]

19. Doubly Inhomogeneous Reinforcement Learning. Liyuan Hu*, Mengbing Li*, Chengchun Shi, Zhenke Wu, Piotr Fryzlewicz (submitted) ► [paper link] [code]

20. baker: An R package for Nested Partially-Latent Class Models. Irena Chen, Qiyuan Shi, Scott Zeger, Zhenke Wu (submitted) ► [paper link] [code] [pdf]

21. A Hierarchical Integrative Group LASSO (HiGLASSO) Framework for Analyzing Environmental Mixtures. Jonathan Boss, Yin-Hsiu Chen, Naveen N. Narisetty, Zhenke Wu, Kelly K. Ferguson, Thomas F. McElrath, John D. Meeker, Bhramar Mukherjee (2021) ► Environmetrics [paper link]

22. Probabilistic Cause-of-disease Assignment using Case-control Diagnostic Tests: A Hierarchcial Bayesian Latent Variable Regression Approach. Zhenke Wu, Irena Chen (2020) ► Statistics in Medicine [paper link] [code] [doi] [poster] [supplement] [slides]

23. Characterization of clinical progression of COVID-19 patients in Shenzhen, China. Qifang Bi, Chengcheng Hong, Juan Meng, Zhenke Wu, Pengzheng Zhou, Chenfei Ye, Binbin Sun, Lauren Kucirka, Andrew S Azman, Tong Wang, Jiancong Chen, Zhaoqin Wang, Lei Liu, Justin Lessler, Jessie Edwards, Ting Ma, Guoliang Zhang (2020) ► medRxiv [paper link]