Journal papers

• Zeng, Z., Li, M. and Vannucci, M. (2025+). Bayesian Covariate-Dependent Graph Learning with a Dual Group Spike-and-Slab Prior. Under Revision.

• Zeng, Z., Li, M. and Vannucci, M. (2024). Bayesian Image-on-Scalar Regression with a Spatial Global-Local Spike-and-Slab Prior. Bayesian Analysis, 19(1), 235-260. (Python code)

• Ryan, C.T., Zeng, Z., Chatterjee, S., Wall, M.J., Moon, M.R., Coselli, J.S., Rosengart T.K., Li, M., and Ghanta, R.K., (2023). Machine Learning for Dynamic and Early Prediction of Acute Kidney Injury after Cardiac Surgery. Journal of Thoracic and Cardiovascular Surgery, 166(6). (with Commentary )

• Zeng, Z. and Li, M. (2021). Bayesian Median Autoregression for Robust Time Series Forecasting. International Journal of Forecasting, 37(2), 1000-1010 (R code)

Conference abstracts/proceedings

• Zeng, Z., Rauch, J., Chaudhary, M., Mahajan, M., Wu, CH., Kallesen, R., (2024). An Interpretable Auto-ML Pipeline for B2B Pricing Decisions. INFORMS Annual 2024 Abstract.

• Ryan, C., Zeng, Z., Chatterjee, S., Wall, M., Rosengart, T., Li, M. and Ghanta, R., (2022). Machine Learning for Real-Time and Early Prediction of Acute Kidney Injury after Cardiac Surgery. 102nd AATS Annual Meeting Conference Abstract (Peer Reviewed) Abstract

• Zeng, Z., Li, M. and Vannucci, M. (2022). Bayesian Image-on-Scalar Regression with a Spatial Global-Local Spike-and-Slab Prior.

  • 2022 Statistical Methods in Imaging Conference (invited via student paper competition award) Abstract
  • 2022 Joint Statistical Meetings (invited via student paper competition award) Abstract
  • The 15th International Conference of the ERCIMWG on Computational and Methodological Statistics (invited) Abstract