Students under my supervision are underlined.

Generalized tensor regression with covariates on multiple modes. Z. Xu*, J. Hu*, and M. Wang. Under review, 2019. [arXiv] *equal contribution.

Multiway clustering via tensor block models. M. Wang and Y. Zeng. Advances in Neural Information Processing Systems 32 (NeurIPS 2019). [arXiv]

Learning from Binary Multiway Data: Probabilistic Tensor Decomposition and Its Statistical Optimality.
M. Wang and L. Li. Under review in the Journal of Machine Learning Research. 2019. [arXiv]

Three-way Clustering of Multi-tissue Multi-individual Gene Expression Data Using Semi-nonnegative Tensor Decomposition.
M. Wang, J. Fischer, and Y. S. Song. Annals of Applied Statistics. Vol. 13, No. 2, 1103-1127, 2019. [Journal] [Preprint] [Supplementary] [Software: Multi-Cluster]

Tensor Decomposition via Two-Mode Higher-Order SVD (HOSVD).
M. Wang and Y. S. Song. Journal of Machine Learning Research W & CP (AISTATS track), Vol. 54, 614-622, 2017. [Journal] [Supplementary] [Preprint] [Software: TM-HOSVD]

Operator Norm Inequalities Between Tensor Unfoldings on the Partition Lattice.
M. Wang, K. Dao Duc, J. Fischer, and Y. S. Song. Linear Algebra and its Applications, Vol. 520, 44-66, 2017. [Journal] [Preprint]

Two-way Mixed-Effects Methods for Joint Association Analyses Using Both Host and Pathogen Genomes.
M. Wang, F. Roux, C. Bartoli, C. H.-Chauveau, C. Meyer, H. Lee, D. Roby, M. S. McPeek, and J. Bergelson. Proc. Natl. Acad. Sci. (direct submission). Vol. 115 (24), E5440-E5449, 2018. [Journal] [Typesetting error in the published version] [Supplementary] [Software: ATOMM]

Recent Developments in Statistical Methods for GWAS and High-throughput Sequencing Studies of Complex Traits.
D. Jiang and M. Wang. Biostatistics and Epidemiology. Vol. 2 (1), 132-159, 2018. [Journal]

G-STRATEGY: Optimal Selection of Individuals for Sequencing in Genetic Association Studies.
M. Wang , J. Jakobsdottir, A. V. Smith, and M. S. McPeek. Genetic Epidemiology, Vol. 40, No. 6, 446–460, 2016. [Journal] [Software: G-STRATEGY]