姓名: |
张耀武 |
职称: | 教授 |
办公室: | 408 |
Email: | zhang.yaowu@mail.shufe.edu.cn |
个人简介
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。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。
2023.07 - 至今 上海财经大学信息管理与工程学院, 教授
2021.07 - 2023.06 上海财经大学信息管理与工程学院, 副教授
2018.02 - 2021.06 上海财经大学信息管理与工程学院, 助理教授
2012.09 - 2017.06 上海财经大学统计与管理学院, 博士, 导师: 朱利平教授
2008.09 - 2012.06 东南大学仪器科学与工程学院, 学士
独立性检验中的维数效应和降维方法研究, 国家自然科学基金, 面上项目(12271331), 2023-2026, 主持
制造循环工业系统(MCIS)供需风险识别与管理机制设计, 国家自然科学基金, 重大项目(72192832), 2022-2026年, 参与
高维数据中的条件非线性相关研究, 国家自然科学基金, 青年科学基金项目(11801349), 2019-2021年, 主持
1. Yaowu Zhang, Yeqing Zhou and Liping Zhu (2025). Interval quantile correlations with applications to testing high-dimensional quantile effects. Journal of Econometrics, 249, 105922.
2. Yaowu Zhang and Liping Zhu (2024). Projective independence tests in high dimensions: the curses and the cures. Biometrika. 111(3), 1013-1027.
3. Liping Zhu, Yaowu Zhang* and Kai Xu (2018). Measuring and testing for interval quantile dependence. Annals of Statistics. 46, 2683–2710.
4. Yaowu Zhang, Yeqing Zhou and Liping Zhu (2024). A post-screening diagnostic study for ultrahigh dimensional data. Journal of Econometrics, 239(2), 105354.
5. Zizhuo Wang, Chaolin Yang, Hongsong Yuan* and Yaowu Zhang* (2021). Aggregation bias in estimating log-log demand function. Production and Operations Management. 30, 3906-3922.
6. Yeqing Zhou, Yaowu Zhang and Liping Zhu (2022). A projective approach to conditional independence test for dependent processes. Journal of Business & Economic Statistics. 40, 398-407.
7. Zhanrui Cai, Runze Li and Yaowu Zhang* (2022). A distribution free conditional independence test with applications to causal discovery. Journal of Machine Learning Research. 23, 1-41.
8. Tao Zhang, Yaowu Zhang* and Tingyou Zhou (2023). Statistical insights into HSIC in high dimensions. Conference on Neural Information Processing Systems (NeurIPS).
9. Zhimei Li and Yaowu Zhang* (2020). On a projective ensemble approach to two sample test for equality of distributions. International Conference on Machine Learning (ICML).
10. Zhimei Li, Tianxuan Ding, Tingyou Zhou and Yaowu Zhang (2025). Enhanced HSIC for independence test via projection integration. Journal of Multivariate Analysis. 210, 105485.
11. Tianxuan Ding, Zhimei Li and Yaowu Zhang* (2025). Testing the equality of distributions using integrated maximum mean discrepancy. Journal of Statistical Planning and Inference. 236, 106246.
12. Yaowu Zhang, Wei Zhong and Liping Zhu (2020). A lack-of-fit test with screening in sufficient dimension reduction. Statistica Sinica. 30, 1971-1993.
13. Jinlin Fan, Yaowu Zhang and Liping Zhu (2022). Independence tests in the presence of measurement errors: an invariance law. Journal of Multivariate Analysis. 188, 104818.
14. Yaowu Zhang, Liping Zhu and Yanyuan Ma (2017). Efficient dimension reduction for multivariate response data. Journal of Multivariate Analysis. 155, 187-199.
15. 周亭攸, 张耀武* and 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.