Zouzhangliang

Conformal Inference; 

High-Dimensional Data Analysis; 

Change-Point and Outlier Detection

Advanced Statistics I、II (PG); Introduction to Data Science (UG)

Selected Publications in the Past Five Years (Full list on Google Scholar Page)

Refereed journal papers:

Min, Y., Peng, L. and Zou, C. “Enhanced localized conformal prediction with imperfect auxiliary information”, JASA, accepted

Cui, X., Geng, H., Wang, G., Wang, Z. and Zou, C. “ART: Distribution-free and model-agnostic changepoint detection with finite-sample guarantees”, JRSSB, accepted

Bao, Y., Huo, Y., Ren, H. and Zou, C. “Cap: A general algorithm for online selective conformal prediction with fcr control”, JMLR, accepted

Qian, C., Wang, G. and Zou, C. “Reliever: relieving the burden of costly model fits for changepoint detection”,JMLR, 26 (203), 1-57, 2025

Cui, X., Geng, H., Ren, H., Wang, Z. and Zou, C. “Online multiple changepoint detection with false discovery rate control”,IEEE Tran. Inform. Theory, 72, 8697-8722, 2025

Wen, M., Jia, Y., Ren, H., Wang, Z. and Zou, C. “Semi-supervised distribution learning”, Biometrika, 112, asae056, 2025

Guo, X., Li, R., Zhang, Z. and Zou, C. “Model-free statistical inference on high-dimensional data”, JASA, 120, 186-197, 2025

Wu, X., Huo, Y., Ren, H. and Zou, C. “Optimal subsampling via predictive inference”, JASA, 119, 2844-2856, 2024

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

Refereed conference papers:

Wang, X., Huo, Y., Peng, L. and Zou, C. “Learning U-statistics with active inference”, ICML, 2026

Min, Y., Peng, L. and Zou, C. “Stable localized conformal prediction via transduction”, ICML, 2026

Zhang, Y., Zhang, W., Zou, C. and Ren, H. “Generalized boundary FDR control under arbitrary dependence: an approach on closure principle”, ICML, 2026

Hu, Y., Tan, J., Zou, C., Bao, Y. and Ren, H. “Conformal robustness control: a new strategy for robust decision”, ICLR, 2026 (Oral)

Wu, J., Hu, D., Xia, S. and Zou, C. “Distribution-informed online conformal prediction”, ICLR, 2026

Min, Y., Zhang, C., Peng, L. and Zou, C. “Personalized federated conformal prediction with localization”, NeurIPS, 2025

Min, Y., Xu, F., Li, X., Zou, C. and Zhou, Y.  “Enhancing deep batch active learning for regression with imperfect data guided selection”, NeurIPS, 2025

Peng, Q., Bao. Y., Ren, H., Wang, Z. and Zou, C. “Conformal prediction with cellwise outliers: A detect-then-impute approach”, ICML, 2025

Zhang, Y., Wei, Z., Ren, H. and Zou, C. “e-GAI: e-value-based generalized α-investing for online false discovery rate control”, ICML, 2025

Wu, X., Lu, L., Wang, Z. and Zou, C. “Conditional testing based on localized conformal p-values”, ICLR, 2025

Wu, J., Hu, D., Bao, Y., Xia, S. and Zou, C. “Error-quantified conformal inference for time series”, ICLR, 2025

Du, Z., Min, Y., Li, J., Lu, K., Zou, C., Peng, L. Chu, T. and Gong, M. “LoCA: Location-aware cosine adaptation for parameter-efficient fine tuning”, ICLR, 2025

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