Improving the performance of predictive process modeling for large datasets. - Andrew O. Finley; Huiyan Sang; Sudipto Banerjee; Alan E. Gelfand (Comput. Stat. Data Anal., 2009)

Cognitive Learning of Statistical Primary Patterns via Bayesian Network. - Weijia Han; Huiyan Sang; Min Sheng; Jiandong Li 001; Shuguang Cui (CoRR, 2014)

Efficient learning of statistical primary patterns via Bayesian network. - Weijia Han; Huiyan Sang; Min Sheng; Jiandong Li 001; Shuguang Cui (ICC, 2015)

Full scale multi-output Gaussian process emulator with nonseparable auto-covariance functions. - Bohai Zhang; Bledar A. Konomi; Huiyan Sang; Georgios Karagiannis; Guang Lin 001 (J. Comput. Phys., 2015)

An adaptive spatial model for precipitation data from multiple satellites over large regions. - Avishek Chakraborty; Swarup De; Kenneth P. Bowman; Huiyan Sang; Marc G. Genton; Bani K. Mallick (Stat. Comput., 2015)

Sensing Statistical Primary Network Patterns via Bayesian Network Structure Learning. - Weijia Han; Huiyan Sang; Xiao Ma 007; Jiandong Li 001; Yanyan Zhang; Shuguang Cui (IEEE Trans. Veh. Technol., 2017)

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)

Row-clustering of a Point Process-valued Matrix. - Lihao Yin; Ganggang Xu; Huiyan Sang; Yongtao Guan (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)

Why the Rich Get Richer? On the Balancedness of Random Partition Models. - Changwoo J. Lee; Huiyan Sang (ICML, 2022)

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)

Inferring Changes in Arctic Sea Ice through a Spatio-Temporal Logistic Autoregression Fitted to Remote-Sensing Data. - Bohai Zhang; Furong Li; Huiyan Sang; Noel Cressie (Remote. Sens., 2022)

Variational Sparse Inverse Cholesky Approximation for Latent Gaussian Processes via Double Kullback-Leibler Minimization. - Jian Cao 004; Myeongjong Kang; Felix Jimenez 002; Huiyan Sang; Florian Tobias Schäfer; Matthias Katzfuss (ICML, 2023)

Sparse spatially clustered coefficient model via adaptive regularization. - Yan Zhong 003; Huiyan Sang; Scott J. Cook; Paul M. Kellstedt (Comput. Stat. Data Anal., 2023)

SBAMDT: Bayesian Additive Decision Trees with Adaptive Soft Semi-multivariate Split Rules. - Stamatina Lamprinakou; Huiyan Sang; Bledar A. Konomi; Ligang Lu (CoRR, 2025)