邹长亮

分别于2003、2006、2008年在南开大学数学学院获得本科、硕士、博士学位。

2009年入职南开大学，2011和2013年晋升副教授和教授。

邹长亮，1981年生人，教授、博士生导师。致力于统计学理论及其与大数据领域的交叉研究和实际应用。

个人主页：http://web.stat.nankai.edu.cn/chlzou

Change-Point and Outlier Detection; Machine Learning; High-Dimensional Inference; Predictive Inference

讲授《高等统计I、II》、《统计大样本理论》、《统计计算》、《非参数统计》、《数据科学导论》等课程

部分主持的项目：

1. 国家自然科学基金委重点项目, 大数据统计推断的稳定化研究, 2023-01至2027-12

2. 科技部重点研发计划项目课题, 数据流的动态在线统计推断理论与方法, 2023-01至2027-12

3. 国家自然科学基金委杰出青年科学基金项目, 大规模数据统计推断, 2020-01至2024-12

4. 国家自然科学基金委重大项目课题, 超高维数据的统计学习与推断, 2017-01至2021-12

5. 国家自然科学基金委优秀青年科学基金项目, 统计过程监控与诊断, 2017-01至2019-12
6. 国家自然科学基金委青年科学基金项目, 应用于复杂数据的统计监控和诊断, 2011-01至2013-12
7. 教育部全国优秀博士学位论文作者专项, 2012-01至2016-12

近五年代表性论文：

Refereed journal papers:

Wen, M., Jia, Y., Ren, H., Wang, Z. and Zou, C. “Semi-supervised distribution learning”, Biometrika, to appear

Guo, X., Li, R., Zhang, Z. and Zou, C. “Model-free statistical inference on high-dimensional data”, JASA, online available

Wu, X., Huo, Y., Ren, H. and Zou, C. “Optimal subsampling via predictive inference”, JASA, online available

Cui, X., Geng, H., Wang, Z. and Zou, C. “Robust estimation of high-dimensional linear regression with changepoints. IEEE Tran. Inform. Theory, 70, 7297-7319, 2024

Shi, L., Wang, G. and Zou, C. “Low-rank matrix estimation in the presence of change-points”, JMLR, 25 (220), 1-71, 2024

Bao, Y., Huo, Y., Ren, H. and Zou, C. “Selective conformal inference with FCR control”, Biometrika, 111, 727-742, 2024

Geng,H., Cui,X., Ren,H, and Zou, C. “Large-scale two-sample comparison of support sets”, JASA, 119, 1604-1618, 2024

Cui, X., Shi, L., Zhong, W. and Zou, C. “Robust high-dimensional low-rank matrix estimation: optimal rate and data-adaptive tuning”, JMLR, 24 (350), 1-57, 2023

Guo, X., Ren, H., Zou, C. and Li, R. “Threshold selection in feature screening for error rate control”, JASA, 118, 1773-1785, 2023

Chen, H., Ren, H., Yao, F. and Zou, C. “Data-driven selection of the number of change-points via error rate control”, JASA, 118, 1415-1428, 2023

Du, L., Guo, X., Sun, W. and Zou, C. “False discovery rate control under general dependence by symmetrized data aggregation”, JASA, 118, 607-621, 2023

Ren, H., Zou,C., Chen, N. and Li, R. “Large-Scale datastreams surveillance via pattern-oriented-sampling”, JASA, 117, 794-808, 2022 

Zou, C., Ke, Y. and Zhang, W. “Estimation of low rank high dimensional multivariate linear models for multi-response Data”, JASA, 117, 693-703, 2022

Zou, C., Wang, G., and Li, R. “Consistent selection of the number of change-points via sample-splitting”, Annals of Statistics, 48, 413-439, 2020

Refereed conference papers:

Chen, G., Jia, Y., Wang, G. and Zou, C. “Zipper: Addressing degeneracy in algorithm-agnostic inference”, NeurIPS, 2024 (Spotlight)

Wang, X., Huo, Y., Peng, L. and Zou, C. “Conformalized multiple testing after data-dependent selection”, NeurIPS, 2024

Huo, Y., Lu, L., Ren, H. and Zou, C. “Real-time selection under general constraints via predictive inference”, NeurIPS, 2024

Yang, W., Shi, H., Guo,X. and Zou, C. “Robust group and simultaneous inferences for high-dimensional single index model”, NeurIPS, 2024

Qian, C., Wang, M., Ren, H. and Zou, C. “ByMI: Byzantine machine identification with false discovery rate control”, ICML, 2024

Chen, H., Jia, Y., Wang, G. and Zou, C. (2024). “Uncertainty quantification for data-driven change-point learning via cross-validation”, AAAI, 2024

Zhang, Y., Jiang, H., Ren, H., Zou, C. and Dou, D. (2022). “AutoMS: Automatic model selection for novelty detection with error rate control”, NeurIPS, 2022