Students under my supervision are underlined.
  • C. Lee and M. Wang. Smooth tensor estimation with unknown permutations. [Preprint] [Software]

  • J. Hu and M. Wang. Multiway spherical clustering via degree-corrected tensor block models. Short version accepted by AISTATS 2022. Journal version under review [Preprint] [Software]

  • C. Lee, L. Li, H. Zhang, and M. Wang. Nonparametric trace regression in high dimensions via sign series representation. Under review. 2021. [Preprint] [Software]

  • R. Han, Y. Luo, M. Wang, and A. R. Zhang. Exact clustering in tensor block model: Statistical optimality and computational limit. Under review, 2020. [Preprint]

  • C. Lee and M. Wang. Beyond the Signs: Nonparametric tensor completion via sign series. Advances in Neural Information Processing Systems 34 (NeurIPS). 2021. [Preprint] [Software]

  • J. Hu, C. Lee, and M. Wang. Generalized Tensor Decomposition with features on multiple modes. Journal of Computational and Graphical Statistics, 2021 [Journal] [Conerence version] [Preprint] [Software]

  • C. Lee and M. Wang. Tensor denoising and completion based on ordinal observations. Proceedings of International Conference on Machine Learning (ICML), PMLR 119:5778-5788, 2020. [Journal] [Preprint] [Software]

  • M. Wang and L. Li. Learning from Binary Multiway Data: Probabilistic Tensor Decomposition and Its Statistical Optimality. Journal of Machine Learning Research, 21(154): 1−38, 2020. [Journal] [Preprint] [Software]

  • M. Wang and Y. Zeng. Multiway clustering via tensor block models. Advances in Neural Information Processing Systems 32 (NeurIPS), 715-725, 2019. [Journal] [Preprint] [Software]

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

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

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

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

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

  • National Science Foundation (NSF) CAREER DMS-2141865, $400K, sole PI, 2022-2026.

    National Science Foundation (NSF) EF-2133740, co-Principle Investigator (PI) together with Daniel I Bolnick (PI) and Tina Eliassi-Rad (co-PI), 3 million in total, 2022-2026.

    National Science Foundation (NSF) DMS-1915978, $180K, sole PI, 2019-2022.

    Fall Research Competition, Wisconsin Alumni Research Foundation, $40K/year, sole PI, 2020-2022 (three times).

    ICML Diversity and Inclusion Fellowship, 2020.

    Institute of Mathematical Statistics (IMS) New Researcher Travel Award, 2020-2021.

    NeurIPS Junior Researcher Travel Award, 2019.

    Google Cloud Platform Education Grants. Free clound computing credits to students in class, 2019.

    Vice Chancellor for Research and Graduate Education (VCRGE) Travel Award, UW-Madison, 2019.