| Parsimonious tensor response regression L Li, X Zhang Journal of the American Statistical Association 112 (519), 1131-1146, 2017 | 213 | 2017 |
| Foundations for envelope models and methods RD Cook, X Zhang Journal of the American Statistical Association 110 (510), 599-611, 2015 | 102 | 2015 |
| Tensor Envelope Partial Least-Squares Regression X Zhang, L Li Technometrics 59 (4), 426-436, 2017 | 66 | 2017 |
| Covariate-Adjusted Tensor Classification in High Dimensions Y Pan, Q Mai, X Zhang Journal of the American statistical association 114 (527), 1305-1319, 2019 | 65 | 2019 |
| Fused estimators of the central subspace in sufficient dimension reduction RD Cook, X Zhang Journal of the American Statistical Association 109 (506), 815-827, 2014 | 65 | 2014 |
| Simultaneous envelopes for multivariate linear regression RD Cook, X Zhang Technometrics 57 (1), 11-25, 2015 | 61 | 2015 |
| Algorithms for envelope estimation RD Cook, X Zhang Journal of Computational and Graphical Statistics 25 (1), 284-300, 2016 | 56 | 2016 |
| Envelopes and reduced-rank regression RD Cook, L Forzani, X Zhang Biometrika 102 (2), 439-456, 2015 | 46 | 2015 |
| An Iterative Penalized Least Squares Approach to Sparse Canonical Correlation Analysis Q Mai, X Zhang Biometrics, 2019 | 44 | 2019 |
| A Doubly-Enhanced EM Algorithm for Model-Based Tensor Clustering Q Mai, X Zhang, Y Pan, K Deng Journal of the American Statistical Association, 1-44, 2021 | 39 | 2021 |
| Fast envelope algorithms RD Cook, X Zhang Statistica Sinica 28 (3), 1179-1197, 2018 | 33 | 2018 |
| Model-free envelope dimension selection X Zhang, Q Mai Electronic Journal of Statistics 12 (2), 2193-2216, 2018 | 23 | 2018 |
| Efficient integration of sufficient dimension reduction and prediction in discriminant analysis X Zhang, Q Mai Technometrics, 2018 | 22 | 2018 |
| Functional envelope for model-free sufficient dimension reduction X Zhang, C Wang, Y Wu Journal of Multivariate Analysis 163, 37-50, 2018 | 17 | 2018 |
| Fast and Separable Estimation in High-dimensional Tensor Gaussian Graphical Models K Min, Q Mai, X Zhang Journal of Computational and Graphical Statistics, 1-16, 2021 | 15 | 2021 |
| Common Reducing Subspace Model and Network Alternation Analysis W Wang, X Zhang, L Li Biometrics, 2019 | 15 | 2019 |
| Subspace estimation with automatic dimension and variable selection in sufficient dimension reduction J Zeng, Q Mai, X Zhang Journal of the American Statistical Association 119 (545), 343-355, 2024 | 13 | 2024 |
| Envelopes in Multivariate Regression Models with Nonlinearity and Heteroscedasticity X Zhang, CE Lee, X Shao Biometrika, 2020 | 9 | 2020 |
| The Maximum Separation Subspace in Sufficient Dimension Reduction with Categorical Response X Zhang, Q Mai, H Zou Journal of Machine Learning Research, 2020 | 9 | 2020 |
| Likelihood-based dimension folding on tensor data N Wang, X Zhang, B Li Statistica Sinica 32, 2405-2430, 2022 | 8 | 2022 |
Qing MaiFlorida State University在 stat.fsu.edu 的电子邮件经过验证
