graph-GPA: A graphical model for prioritizing GWAS results and investigating pleiotropic architecture. - Dongjun Chung; Hang J. Kim; Hongyu Zhao 003 (PLoS Comput. Biol., 2017)

Improving SNP prioritization and pleiotropic architecture estimation by incorporating prior knowledge using graph-GPA. - Hang J. Kim; Zhenning Yu; Andrew Lawson; Hongyu Zhao 003; Dongjun Chung (Bioinform., 2018)

Bayesian pollution source identification via an inverse physics model. - Youngdeok Hwang; Hang J. Kim; Won Chang; Kyongmin Yeo; Yongku Kim (Comput. Stat. Data Anal., 2019)

Accuracy Gains from Privacy Amplification Through Sampling for Differential Privacy. - Jingchen Hu; Jörg Drechsler; Hang J. Kim (CoRR, 2021)

GPA-Tree: statistical approach for functional-annotation-tree-guided prioritization of GWAS results. - Aastha Khatiwada; Bethany J. Wolf; Ayse Selen Yilmaz; Paula S. Ramos; Maciej Pietrzak; Andrew Lawson; Kelly J. Hunt; Hang J. Kim; Dongjun Chung (Bioinform., 2022)

Bayesian Model Calibration and Sensitivity Analysis for Oscillating Biological Experiments. - Youngdeok Hwang; Hang J. Kim; Won Chang; Christian Hong; Steven N. MacEachern (Technometrics, 2025)