Visiting Scholar
Email: zhang.yaowu _at_ mail.shufe.edu.cn
Research Fields:
Office No.:
BIO
Dr. Yaowu Zhang is currently a professor at School of Information Management and Engineering, Shanghai University of Finance and Economics. He received his Ph.D. degree from School of Statistics and Management, Shanghai University of Finance and Economics in 2017, under the supervision of Prof. Liping Zhu. Before that, he obtained the Bachelor’s degree of Engineering from Southeast University. His representative publications have appeared in several leading journals and conferences, including Annals of Statistics, Biometrika, Journal of Machine Learning Research, Production and Operations Management, Journal of Econometrics, Journal of Business & Economic Statistics, NeurIPS, and ICML.
Education Experience
- 2008.09-2012.06 Southeast University
- 2012.09-2017.06 Shanghai University of Finance and Economics
Work Experience
- 2018.02 – Now Shanghai University of Finance and Economics
Honors and Awards
Publications
- Zhou, T., Zhang, Y. and Zhu, L. (2024+). A lack-of-fit test for parametric index model with ultrahigh-dimensional covariates (in Chinese). SCIENTIA SINICA Mathematica, to appear.
- Zhang, Y. and Zhu, L. (2024). Projective independence tests in high dimensions: the curses and the cures. Biometrika, 111(3), 1013-1027.
- Zhang, Y., Zhou, Y. and Zhu, L. (2024). A post-screening diagnostic study for ultrahigh dimensional data. Journal of Econometrics, 239, 105354
- Zhang, T., Zhang, Y. and Zhou, T. (2023). Statistical insights into HSIC in high dimensions. Conference on Neural Information Processing Systems (NeurIPS).
- Cai, Z., Li, R. and Zhang, Y. (2022). A distribution free conditional independence test with applications to causal discovery. Journal of Machine Learning Research. 23, 1-41.
- Zhou, Y., Zhang, Y. and Zhu, L. (2022). A projective approach to conditional independence test for dependent processes. Journal of Business & Economic Statistics. 40, 398-407.
- Fan, J., Zhang, Y. and Zhu, L. (2022). Independence tests in the presence of measurement errors: an invariance law. Journal of Multivariate Analysis. 188, 104818.
- Wang, Z., Yang, C., Yuan, H. and Zhang, Y. (2021). Aggregation bias in estimating log-log demand function. Production and Operations Management. 30, 3906-3922.
- Li, Z. and Zhang, Y. (2020). On a projective ensemble approach to two sample test for equality of distributions. International Conference on Machine Learning (ICML).
- Zhang, Y., Zhong, W. and Zhu, L.∗ (2020). A lack-of-fit test with screening in sufficient dimension reduction. Statistica Sinica. 30, 1971-1993.
- Zhu, L., Zhang, Y. and Xu, K. (2018). Measuring and testing for interval quantile dependence. Annals of Statistics. 46, 2683-2710.
- Zhang, Y., Zhu, L. and Ma, Y. (2017). Efficient dimension reduction for multivariate response data. Journal of Multivariate Analysis. 155, 187-199.
- Zhang, Y. and Zhu, L. (2017). Semiparametric estimation of multivariate partially linear models. Journal of Statistical Computation and Simulation. 87, 2115-2127.