Haojie Ren(任好洁)

Research Interests

Massive data analysis; On-line monitoring and diagnosis; High-dimensional inference; Change-point detection and outlier identification; Functional data analysis

Publications

1. Qian, C., Wang, M., Ren, H., Zou, C. (2024) "ByMI: Byzantine Machine Identification with False Discovery Rate Control", ICML Conference, accepted.

2. Bao, Y., Huo, Y., Ren, H., Zou, C. (2024) Selective Conformal Inference with FCR Control, Biometrika, accepted (https://arxiv.org/pdf/2301.00584.pdf).

3. Zhang, Y., Ren, H.* (2024) 基于控制在线错误发现率的异常检测方法, 系统科学与数学, accepted.

4. Wu, X., Huo, Y., Ren, H., Zou, C. (2023) Optimal Subsampling via Predictive Inference, Journal of the American Statistical Association, accepted.

5. Liu, Y., Ren, H., Li, Z. (2023) A unified diagnostic framework via symmetrized data aggregation, IISE Transactions, accepted.  

6. Geng, H., Cui, X., Ren, H., Zou, C. (2023) Large-scale two-sample comparison of support sets, Journal of the American Statistical Association, accepted.

7. Bao, Y., Ren, H.* (2023). Semi-profiled distributed estimation for high-dimensional partially linear model, Computational Statistics & Data Analysis, 188, 107824. 

8. Guo, X.#, Ren, H.#, Zou, C. and Li, R. (2023) Threshold selection in feature screening for error rate control, Journal of the American Statistical Association, 118(543), 1773-1785. 

9. Chen, H.#, Ren, H.#, Yao, F., and Zou, C. (2023) Data-driven selection of the number of change-points via error rate control, Journal of the American Statistical Association, 118(542), 1415-1428.

10. Han, Y., Ma, P., Ren, H., and Wang, Z. (2023) Model checking in large-scale dataset via structure-adaptive-sampling, Statistica Sinica, 33, 1-27.

11. 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 Conference.

12. Liu, Y., Ren, H., Guo, X., Zhou, Q., and Zou, C. (2022) Cellwise outlier detection with FDR control. The Canadian Journal of Statistics, 50(3), 951-971 .

13. Ren, H., Zou, C. and Li, R. (2022) 大规模数据分析中基于外推的调节参数选取, SCIENCE CHINA Mathematics (Chinese),52(6), 689-708.

14. Ren, H., Zou, C., Chen, N., and Li, R. (2022) Large-scale datastreams surveillance via pattern-oriented-sampling, Journal of the American Statistical Association, 117(538), 794-808.

15. Feng, L., Ren, H., and Zou, C. (2019) A setwise EWMA scheme for monitoring high-dimensional datastreams, Random Matrices: Theory and Applications, 2050004.

16. Ren, H., Chen, N., and Wang, Z. (2018) Phase-II monitoring in multichannel profile observations, Journal of Quality Technology,  51(4), 338-352.

17. Ren, H., Chen, N., and Zou, C. (2017) Projection-based outlier detection in functional data, Biometrika, 104(2), 411-423.

18. Shang, Y., Man, J., He, Z., and Ren, H. (2016) Change-point detection in Phase I for profiles with binary data and random predictors, Quality and Reliability Engineering International, 32(7), 2549-2558.

19. Zhang, J. Ren, H.*, Yao, R., Wang, Z. and Zou, C. (2015) Phase I analysis of multivariate profiles based on regression adjustment, Computers and Industrial Engineering, 85, 132-144.

Preprints

1. Zou, C., Ren, H., Guo, X., and Li, R.  (2020）A new procedure for controlling false discovery rate in large-scale t-tests, https://arxiv.org/abs/2002.12548v1.

Visiting Experience

• Research Assistant, Department of Industrial Systems Engineering & Management, National University of Singapore, Singapore, hosted by Prof. Nan Chen, 2015/11-2017/08.

• Visiting Student, Department of Operations Research & Finacial Engineering, Princeton University, United States, hosted by Prof. Jianqing Fan, 2017/09-2018/03.

• Visiting Scholar, School of Mathematics and Statistics, University of Melbourne, Australia, hosted by Prof. Liuhua Peng, 2023/08-2024/02.

Talks

1. IMS Asia Pacific RIM Meeting 2024, Melbourne, 2024/01, BASD: Semi-supervised distribution learning. 

2. Jiont Conference on Statistics and Data Science in China 2023, Beijing, China, 2023/07, Selective conformal inference with FCR control. 

3. ICSA 2023 China Conference, Chengdu, China, 2023/07, Large-scale detection of differential sparsity structure with FDR control.

4. CMS 2022 Annual Conference, Wuhan, China, 2023/01,  AutoMS: Automatic model selection for novelty detection with error rate control. 

5. The 11st ICSA International Conference, Hangzhou, China, 2019/12, Large-scale datastreams surveillance via pattern-oriented-sampling.

6. 2019 Winter Young Mathematician Forum, Shanghai Jiao Tong University, Shanghai, China, 2019/12, Dynamic sampling and testing in large-scale datastreams.

7. CSIAM-BDAI 2019, Kunming, China, 2019/08, Extrapolation-based tuning parameters selection in massive dataset

8. Statistical Computing: Challenges and Opportunities in Data Science, Beijing, China, 2018/11, High-dimensional surveillance via pattern-oriented-sampling

9. The 2nd National Conference for Young Scholars on Probability and Statistics, Xuzhou, China, 2018/10, High-dimensional surveillance via pattern-oriented-sampling

Teaching

• 2022-2024 Spring "Data Visualization" (Graduate)

• 2021/2022 Fall "Multivariate Statistical Analysis" (Undergraduate, Graduate)

• 2021/2024 Spring "High-dimensional Inference" (Graduate) 

• 2020 Spring "Introduction to Probability" (Undergraduate)