Students under my supervision are underlined.
  • C. Lee and M. Wang. Statistical and computational rates in high rank tensor estimation. 2023. [arXiv]

  • C. Lee and M. Wang. Beyond the Signs: Nonparametric tensor completion via sign series. Short version published in 2021 Advances in Neural Information Processing Systems 34 (NeurIPS). Journal version under review. 2023. [arXiv] [NeurIPS version] [Software]

  • C. Lee, L. Li, H. Zhang, and M. Wang. Nonparametric trace regression in high dimensions via sign series representation. 2022. [arXiv] [Software]

  • J. Hu and M. Wang. Multiway spherical clustering via degree-corrected tensor block models. IEEE Transactions on Information Theory, 69(6), 3880-3919, 2023. [Journal] [arXiv] [AISTATS version] [Software]

  • C. Lee and M. Wang. Smooth tensor estimation with unknown permutations. Minor revision under JASA - Theory and Methods, 2023. [arXiv] [Software]

  • R. Han, Y. Luo, M. Wang, and A. R. Zhang. Exact clustering in tensor block model: Statistical optimality and computational limit. Journal of the Royal Statistical Society: Series B. 2022. [arXiv] [Software]

  • J. Hu, C. Lee, and M. Wang. Generalized Tensor Decomposition with features on multiple modes. Journal of Computational and Graphical Statistics, Vol. 31, No. 1, 204-218, 2021. [Journal] [Conference version] [arXiv] [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] [arXiv] [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] [arXiv] [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] [arXiv] [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, 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, UW-Madison PI with Daniel Bolnick (UConn PI) and Tina Eliassi-Rad (Northeastern PI), $3 million, 2022-2026.

    National Science Foundation (NSF) DMS-1915978, $180K, sole PI, 2019-2023.

    National Science Foundation (NSF) DMS-2023239, Senior Personal (0% FTE), 2020-2025.

    U.S. Department of Defense (DOD), W911NF2010051, $150K, co-I, 2020-2021.

    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 cloud computing credits to students in class, 2019.

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

    Madison Teaching and Learning Excellence Fellow, UW-Madison, 2019.