| Two-way mixed-effects methods for joint association analysis using both host and pathogen genomes M Wang, F Roux, C Bartoli, C Huard-Chauveau, C Meyer, H Lee, D Roby, ... Proceedings of the National Academy of Sciences 115 (24), E5440-E5449, 2018 | 58 | 2018 |
| Multiway clustering via tensor block models M Wang, Y Zeng Advances in Neural Information Processing Systems 32 (NeurIPS 2019), 2019 | 47 | 2019 |
| Learning from binary multiway data: Probabilistic tensor decomposition and its statistical optimality M Wang, L Li The Journal of Machine Learning Research 21 (1), 6146-6183, 2020 | 43 | 2020 |
| Three-way clustering of multi-tissue multi-individual gene expression data using semi-nonnegative tensor decomposition M Wang, J Fischer, YS Song The annals of applied statistics 13 (2), 1103, 2019 | 42 | 2019 |
| Operator norm inequalities between tensor unfoldings on the partition lattice M Wang, KD Duc, J Fischer, YS Song Linear algebra and its applications 520, 44-66, 2017 | 37 | 2017 |
| Exact clustering in tensor block model: Statistical optimality and computational limit R Han, Y Luo, M Wang, AR Zhang Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2022 | 31 | 2022 |
| Tensor decompositions via two-mode higher-order SVD (HOSVD) M Wang, YS Song Proceedings of Machine Learning Research, 20th International Conference on …, 2017 | 24 | 2017 |
| The development and application of a quantitative peptide microarray based approach to protein interaction domain specificity space BW Engelmann, Y Kim, M Wang, B Peters, RS Rock, PD Nash Molecular & Cellular Proteomics 13 (12), 3647-3662, 2014 | 20 | 2014 |
| Tensor denoising and completion based on ordinal observations C Lee, M Wang International conference on machine learning, 5778-5788, 2020 | 18 | 2020 |
| Generalized tensor decomposition with features on multiple modes J Hu, C Lee, M Wang Journal of Computational and Graphical Statistics 31 (1), 204-218, 2022 | 14* | 2022 |
| Recent developments in statistical methods for GWAS and high-throughput sequencing association studies of complex traits D Jiang, M Wang Biostatistics & Epidemiology 2 (1), 132-159, 2018 | 11 | 2018 |
| Multiway Spherical Clustering via Degree-Corrected Tensor Block Models J Hu, M Wang International Conference on Artificial Intelligence and Statistics, 1078-1119, 2022 | 8 | 2022 |
| Beyond the signs: Nonparametric tensor completion via sign series C Lee, M Wang Advances in Neural Information Processing Systems 34, 21782-21794, 2021 | 6 | 2021 |
| Smooth tensor estimation with unknown permutations C Lee, M Wang arXiv preprint arXiv:2111.04681, 2021 | 4 | 2021 |
| G‐STRATEGY: Optimal Selection of Individuals for Sequencing in Genetic Association Studies M Wang, J Jakobsdottir, AV Smith, MS McPeek Genetic epidemiology 40 (6), 446-460, 2016 | 3 | 2016 |
| Nonparametric trace regression in high dimensions via sign series representation C Lee, L Li, HH Zhang, M Wang arXiv preprint arXiv:2105.01783, 2021 | 2 | 2021 |
| Statistical and computational rates in high rank tensor estimation C Lee, M Wang arXiv preprint arXiv:2304.04043, 2023 | 1 | 2023 |
| Package ‘SmoothTensor’ C Lee, M Wang, MC Lee | | 2022 |
| Beyond matrices: statistical method for higher-order tensors and its application. I M Wang | | 2019 |
| PNAS PLUS M Wang, F Roux, C Bartoli, C Huard-Chauveau, C Meyer, H Lee, D Roby, ... PNAS 115 (24), 6113-6116, 2018 | | 2018 |
