Cui, X., Geng, H., Ren, H., Wang, Z., Zou, C.(2025), "Online multiple changepoint detection with false discovery rate control", IEEE Transactions on Information Theory, accepted.
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.
Peng, Q., Bao, Y., Ren, H., Wang, Z., Zou, C. (2025) "Conformal prediction with cellwise outliers: a detect-then-impute approach", ICML 2025 Conference.
Wen, M., Jia, Y., Ren, H., Wang, Z., Zou, C. (2024) "Semi-supervised distribution learning", Biometrika, accepted.
Huo, Y., Lu, L., Ren, H., Zou, C. (2024) "Real-time selection under general constraints via predictive inference", NeurIPS Conference, accepted.
Qian, C., Wang, M., Ren, H., Zou, C. (2024) "ByMI: Byzantine machine identification with false discovery rate control", ICML Conference.
Bao, Y., Huo, Y., Ren, H., Zou, C. (2024) "Selective conformal inference with false coverage-statement rate control", Biometrika, 111(3), 727-742.
张熠凡, 任好洁* (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.
Liu, Y., Ren, H., Li, Z. (2024) "A unified diagnostic framework via symmetrized data aggregation", IISE Transactions, 56(5), 573-584.
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.
Wu, X., Huo, Y., Ren, H., Zou, C. (2023) "Optimal subsampling via predictive inference", Journal of the American Statistical Association, accepted.
Bao, Y., Ren, H.* (2023). "Semi-profiled distributed estimation for high-dimensional partially linear model", Computational Statistics & Data Analysis, 188, 107824.
Guo, X.#, Ren, H.#, Zou, C. Li, R. (2023) "Threshold selection in feature screening for error rate control", Journal of the American Statistical Association, 118(543), 1773-1785.
Chen, H.#, Ren, H.#, Yao, F., 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.
Han, Y., Ma, P., Ren, H., Wang, Z. (2022+) "Model checking in large-scale dataset via structure-adaptive-sampling", Statistica Sinica, 33, 1-27.
Zhang, Y., Jiang, H., Ren, H., Zou, C., Dou, D. (2022) “AutoMS: Automatic model selection for novelty detection with error rate control", NeurIPS 2022 Conference, 35, 19917-19929.
Liu, Y., Ren, H., Guo, X., Zhou, Q., Zou, C. (2022) "Cellwise outlier detection with false discovery rate control", The Canadian Journal of Statistics, 50(3), 951-971.
任好洁, 邹长亮, 李润泽 (2022) "大规模数据分析中基于外推的调节参数选取", 中国科学: 数学, 52(6), 689-708.
Ren, H., Zou, C., Chen, N., Li, R. (2022) "Large-scale datastreams surveillance via Pattern-Oriented-Sampling", Journal of the American Statistical Association, 117(538), 794-808.
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.
Feng, L., Ren, H., Zou, C. (2019) "A setwise EWMA scheme for monitoring high-dimensional datastreams", Random Matrices: Theory and Applications, 2050004.
Ren, H., Chen, N., Wang, Z. (2018) "Phase-II monitoring in multichannel profile observations", Journal of Quality Technology, 51(4), 338-352.
Ren, H., Chen, N., Zou, C. (2017) "Projection-based outlier detection in functional data", Biometrika, 104(2), 411-423.
Shang, Y., Man, J., He, Z., 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.
Zhang, J. Ren, H.*, Yao, R., Wang, Z., Zou, C. (2015) "Phase I analysis of multivariate profiles based on regression adjustment", Computers and Industrial Engineering, 85, 132-144.
