Yaowu Zhang
Research Institute for Interdisciplinary Sciences
School of Information Management and Engineering
Shanghai University of Finance and Economics
E-mail: zhang.yaowu@mail.shufe.edu.cn

Biography

I am currently a professor at Research Institute for Interdisciplinary Sciences, School of Information Management and Engineering, Shanghai University of Finance and Economics. I got my 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, I obtained my Bachelor's degree of Engineering from Southeast University.

Research Interests

• Measure of nonlinear dependence
• Dimension reduction
• Causal inference

Publications

1. Projective independence tests in high dimensions: the curses and the cures

   Yaowu Zhang and Liping Zhu

   Biometrika, to appear.

2. A post-screening diagnostic study for ultrahigh dimensional data

   Yaowu Zhang, Yeqing Zhou and Liping Zhu

   Journal of Econometrics, to appear.

3. Statistical insights into HSIC in high dimensions

   Tao Zhang, Yaowu Zhang and Tingyou Zhou

   Conference on Neural Information Processing Systems (NeurIPS), 2023.

4. A distribution free conditional independence test with applications to causal discovery

   Zhanrui Cai, Runze Li and Yaowu Zhang

   Journal of Machine Learning Research, 2022.

5. Independence tests in the presence of measurement errors: an invariance law

   Jinlin Fan, Yaowu Zhang and Liping Zhu

   Journal of Multivariate Analysis, 2022.

6. A projective approach to conditional independence test for dependent processes

   Yeqing Zhou, Yaowu Zhang and Liping Zhu

   Journal of Business & Economic Statistics, 2022.

7. Aggregation bias in estimating log-log demand function

   Zizhuo Wang, Chaolin Yang, Hongsong Yuan and Yaowu Zhang

   Production and Operations Management, 2021.

8. On a projective ensemble approach to two sample test for equality of distributions

   Zhimei Li and Yaowu Zhang

   International Conference on Machine Learning (ICML), 2020.

9. A lack-of-fit test with screening in sufficient dimension reduction

   Yaowu Zhang, Wei Zhong and Liping Zhu

   Statistica Sinica, 2020.

10. Measuring and testing for interval quantile dependence

    Liping Zhu, Yaowu Zhang and Kai Xu

    Annals of Statistics, 2018.

11. Efficient dimension reduction for multivariate response data

    Yaowu Zhang, Liping Zhu and Yanyuan Ma

    Journal of Multivariate Analysis, 2017.

12. Semiparametric estimation of multivariate partially linear models

    Yaowu Zhang and Liping Zhu

    Journal of Statistical Computation and Simulation, 2017.