| Two-sample Behrens–Fisher problems for high-dimensional data: A normal reference approach JT Zhang, B Zhou, J Guo, T Zhu Journal of Statistical Planning and Inference 213, 142-161, 2021 | 22 | 2021 |
| A simple scale-invariant two-sample test for high-dimensional data L Zhang, T Zhu, JT Zhang Econometrics and Statistics 14, 131-144, 2020 | 12 | 2020 |
| One-way MANOVA for functional data via Lawley–Hotelling trace test T Zhu, JT Zhang, MY Cheng Journal of Multivariate Analysis 192, 105095, 2022 | 9 | 2022 |
| Two-sample Behrens–Fisher problems for high-dimensional data: a normal reference scale-invariant test L Zhang, T Zhu, JT Zhang Journal of Applied Statistics 50 (3), 456-476, 2023 | 6 | 2023 |
| A new normal reference test for linear hypothesis testing in high-dimensional heteroscedastic one-way MANOVA JT Zhang, T Zhu Computational Statistics & Data Analysis 168, 107385, 2022 | 5 | 2022 |
| A Further Study on Chen–Qin’s Test for Two-Sample Behrens–Fisher Problems for High-Dimensional Data JT Zhang, T Zhu Journal of Statistical Theory and Practice 16 (1), 1, 2022 | 5 | 2022 |
| Linear hypothesis testing in high-dimensional one-way MANOVA: a new normal reference approach T Zhu, JT Zhang Computational Statistics 37 (1), 1-27, 2022 | 4 | 2022 |
| A new k-nearest neighbors classifier for functional data T Zhu, J Zhang Stat. Its Interface 15, 247-260, 2022 | 4 | 2022 |
| Cosine similarity-based classifiers for functional data T Zhu, JT Zhang Contemporary Experimental Design, Multivariate Analysis and Data Mining …, 2020 | 4 | 2020 |
| Two-sample test for high-dimensional covariance matrices: A normal-reference approach J Wang, T Zhu, JT Zhang Journal of Multivariate Analysis 204, 105354, 2024 | 3 | 2024 |
| Two-sample Behrens–Fisher problems for high-dimensional data: a normal reference F-type test T Zhu, P Wang, JT Zhang Computational Statistics 39 (6), 3207-3230, 2024 | 2 | 2024 |
| A global test for heteroscedastic one-way FMANOVA with applications T Zhu, JT Zhang, MY Cheng Journal of Statistical Planning and Inference 231, 106133, 2024 | 2 | 2024 |
| Test of the Equality of Several High-Dimensional Covariance Matrices: A Normal-Reference Approach J Wang, T Zhu, Z Jin-Ting Mathematics 13 (2), 295, 2025 | 1 | 2025 |
| A fast and accurate kernel-based independence test with applications to high-dimensional and functional data JT Zhang, T Zhu Journal of Multivariate Analysis 202, 105320, 2024 | 1 | 2024 |
| The general linear hypothesis testing problem for multivariate functional data with applications T Zhu arXiv preprint arXiv:2312.02518, 2023 | 1 | 2023 |
| A revisit to Bai–Saranadasa's two-sample test JT Zhang, T Zhu Journal of Nonparametric Statistics 34 (1), 58-76, 2022 | 1 | 2022 |
| Prediction of Cognitive Impairment Using a Deep Learning Autoencoder Algorithm from a Singapore Study T Zhu, CA Hargreaves, YX Chen, CC Li-Hsian, S Hilal Computing&AI Connect 2 (1), 1-10, 2025 | | 2025 |
| HDNRA: An R package for HDLSS location testing with normal-reference approaches P Wang, T Zhu, JT Zhang arXiv preprint arXiv:2410.16702, 2024 | | 2024 |
| Testing Equality of Several Distributions at High Dimensions: A Maximum-Mean-Discrepancy-Based Approach ZP Ong, AA Chen, T Zhu, JT Zhang Mathematics 11 (20), 4374, 2023 | | 2023 |
| Use of dynamic geometry software in the teaching of matrix and transformation: An exemplar of a classroom enactment TL Toh, K Chen, T Zhu Learning Science and Mathematics, 2023 | | 2023 |
