T-LoHo: A Bayesian Regularization Model for Structured Sparsity and Smoothness on Graphs. - Changwoo J. Lee; Zhao Tang Luo; Huiyan Sang (NeurIPS, 2021)

BAST: Bayesian Additive Regression Spanning Trees for Complex Constrained Domain. - Zhao Tang Luo; Huiyan Sang; Bani K. Mallick (NeurIPS, 2021)

A Bayesian Contiguous Partitioning Method for Learning Clustered Latent Variables. - Zhao Tang Luo; Huiyan Sang; Bani K. Mallick (J. Mach. Learn. Res., 2021)

BAMDT: Bayesian Additive Semi-Multivariate Decision Trees for Nonparametric Regression. - Zhao Tang Luo; Huiyan Sang; Bani K. Mallick (ICML, 2022)

Rapidly Mixing Multiple-try Metropolis Algorithms for Model Selection Problems. - Hyunwoong Chang; Changwoo J. Lee; Zhao Tang Luo; Huiyan Sang; Quan Zhou (NeurIPS, 2022)