张耀武

BIO

张耀武，上海财经大学信息管理与工程学院常任教授，数据、算法与工程系系主任。主要从事复杂数据关联分析的统计理论、方法和应用研究，代表性研究成果发表在Annals of Statistics, Biometrika, Journal of Machine Learning Research, Production and Operations Management, Journal of Econometrics, Journal of Business & Economic Statistics, NeurIPS, ICML等顶级期刊和会议上。担任杉数科技科学家顾问，为京东、顺丰、华为、南航等多个国内著名企业提供数据分析和供应链管理等技术服务。

教育经历

• 2008.09-2012.06 东南大学
• 2012.09-2017.06 上海财经大学

工作经历

• 2018.02 – 至今 上海财经大学

荣誉和获奖

论著

1. 周亭攸, 张耀武, 朱利平 (2024). 超高维参数单指标模型的拟合优度检验. 中国科学: 数学
2. Zhang, Y. and Zhu, L. (2024). Projective independence tests in high dimensions: the curses and the cures. Biometrika, 111(3), 1013-1027.
3. Zhang, Y., Zhou, Y. and Zhu, L. (2024). A post-screening diagnostic study for ultrahigh dimensional data. Journal of Econometrics, 239, 105354
4. Zhang, T., Zhang, Y. and Zhou, T. (2023). Statistical insights into HSIC in high dimensions. Conference on Neural Information Processing Systems (NeurIPS).
5. 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.
6. 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.
7. 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.
8. 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.
9. 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).
10. Zhang, Y., Zhong, W. and Zhu, L.∗ (2020). A lack-of-fit test with screening in sufficient dimension reduction. Statistica Sinica. 30, 1971-1993.
11. Zhu, L., Zhang, Y. and Xu, K. (2018). Measuring and testing for interval quantile dependence. Annals of Statistics. 46, 2683-2710.
12. Zhang, Y., Zhu, L. and Ma, Y. (2017). Efficient dimension reduction for multivariate response data. Journal of Multivariate Analysis. 155, 187-199.
13. Zhang, Y. and Zhu, L. (2017). Semiparametric estimation of multivariate partially linear models. Journal of Statistical Computation and Simulation. 87, 2115-2127.