Haojie Ren(任好洁)

Research Interests

Predictive inference; Change-point detection and outlier identification; Massive data analysis; High-dimensional inference; 

Publications

1. Zhang, Y., Wei, Z., Ren, H., Zou, C. (2025), e-GAI: e-value-based Generalized α-Investing for Online False Discovery Rate Control, ICML 2025 Conference. 

2. Peng, Q., Bao, Y., Ren, H., Wang, Z., Zou, C. (2025) Conformal Prediction with Cellwise Outliers: A Detect-then-Impute Approach,  ICML 2025 Conference.

3. Wen, M., Jia, Y., Ren, H.*, Wang, Z., Zou, C. (2024) Semi-supervised distribution learning, Biometrika, asae056.

4. Huo, Y., Lu, L., Ren, H.*, Zou, C.* (2024) Real-time selection under general constraints via predictive inference, NeurIPS 2024 Conference.  

5. Qian, C., Wang, M., Ren, H.*, Zou, C.* (2024) ByMI: Byzantine machine identification with false discovery rate control, ICML 2024 Conference.

6. Bao, Y., Huo, Y., Ren, H., Zou, C. (2024) Selective conformal inference with false coverage-statement rate control , Biometrika, 111(3), 727-742. (https://arxiv.org/pdf/2301.00584.pdf).

7. Geng, H., Cui, X., Ren, H., Zou, C. (2024) Large-scale two-sample comparison of support sets, Journal of the American Statistical Association, 119(546), 1604-1618.

8. Wu, X., Huo, Y., Ren, H., Zou, C. (2024) Optimal Subsampling via Predictive Inference, Journal of the American Statistical Association, 119(548), 2844-2856 .

9. 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, https://doi.org/10.12341/jssms23657.

10. Liu, Y., Ren, H., Li, Z. (2023) A unified diagnostic framework via symmetrized data aggregation, IISE Transactions, 56(5), 573-584.  

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

12. 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. 

13. 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.

14. 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.

15. 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.

16. 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 .

17. 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.

18. 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.

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

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

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

22. 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.

23. 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. Bao, Y., Huo, Y., Ren, H., & Zou, C. (2024). CAP: A general algorithm for online selective conformal prediction with FCR control. https://arxiv.org/abs/2403.07728 . 

2. 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. First Macau International Conference on Business Intelligence and Analytics, Macau, 2024/12, Real-time selection under general constraints via predictive inference.

2. The 2024 Annual Statistics Meeting of CAAS, Tianjin, China, 2024/11, Real-time selection under general constraints via predictive inference. 

3. 2024 Joint Conference on Statistics and Data Science, Kunming, China, 2024/07, Real-time selection under general constraints via predictive inference. 

4. 2024 IMS-China International Conference on Statistics and Probability, Ningxia, China, 2024/07, A Model-Agnostic Approach for Variable Selection with FDR Control.

5. 2024 ICSA China Conference, Wuhan, China, 2024/06, Online multiple changepoints detection with false discovery rate control.

6. 2024 Hong Kong Conference for Fintech, AI, and Big Data in Business, Hong Kong, 2024/05, BASD: Semi-supervised distribution learning.

7. The 2nd Forum of Young Statisticians of China, Xuzhou, China, 2024/04, Online multiple changepoints detection with false discovery rate control.

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

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

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

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

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

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

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

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

Teaching

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

• "Multivariate Statistical Analysis" (Undergraduate, Graduate), 2021/2022/2024 Fall 

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

• "Introduction to Probability" (Undergraduate), 2020 Spring