Changliang Zou

Changliang Zou邹长亮

Professor

School of Statistics and Data Sciences
Nankai University

Office
Room 344, Fansun Building
Nankai University, Tianjin, 300071
Tel
(86)-22-23498233
Email
zoucl@nankai.edu.cn
nk.chlzou@gmail.com

中文主页 Google Scholar

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Short Bio

I obtained B.S, M.S, and Ph.D. in Statistics, from School of Mathematical Sciences, Nankai University, in 2003, 2006, and 2008, respectively. I joined Nankai University, in June, 2009.

Research Interests

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

Teaching

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

Selected Recent Publications

Full list on Google Scholar

Refereed journal papers

  1. Huo, Y., Wu, X., Zou, C., & Ren, H. “Unified conformalized multiple testing with full data efficiency”, JRSSB, accepted.
  2. Bao, Y., Hu, Y., Ren, H., Zhao, P., and Zou, C. “Optimal model selection for conformalized robust optimization”, JASA, accepted.
  3. Min, Y., Peng, L. and Zou, C. “Enhanced localized conformal prediction with imperfect auxiliary information”, JASA, accepted.
  4. Xu, C., Yu, Y., Wang, Z., Zou, C. and Ren, H. “Aggregating conformal prediction sets via α-allocation”, Biometrika, 113, asag048, 2026.
  5. Cui, X., Geng, H., Wang, G., Wang, Z. and Zou, C. “ART: Distribution-free and model-agnostic changepoint detection with finite-sample guarantees”, JRSSB, 88, 1278–1302, 2026.
  6. Lu, L., Huo, Y., Ren, H., Wang, Z. and Zou, C. “Feedback-enhanced online multiple testing with applications to conformal selection”, JMLR, 27, 1–86, 2026.
  7. Bao, Y., Huo, Y., Ren, H. and Zou, C. “Cap: A general algorithm for online selective conformal prediction with fcr control”, JMLR, 26, 1–74, 2025.
  8. Qian, C., Wang, G. and Zou, C. “Reliever: relieving the burden of costly model fits for changepoint detection”, JMLR, 26, 1–57, 2025.
  9. 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.
  10. Wen, M., Jia, Y., Ren, H., Wang, Z. and Zou, C. “Semi-supervised distribution learning”, Biometrika, 112, asae056, 2025.
  11. Guo, X., Li, R., Zhang, Z. and Zou, C. “Model-free statistical inference on high-dimensional data”, JASA, 120, 186–197, 2025.
  12. Wu, X., Huo, Y., Ren, H. and Zou, C. “Optimal subsampling via predictive inference”, JASA, 119, 2844–2856, 2024.
  13. 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.
  14. Shi, L., Wang, G. and Zou, C. “Low-rank matrix estimation in the presence of change-points”, JMLR, 25, 1–71, 2024.
  15. Bao, Y., Huo, Y., Ren, H. and Zou, C. “Selective conformal inference with FCR control”, Biometrika, 111, 727–742, 2024.
  16. Geng, H., Cui, X., Ren, H., and Zou, C. “Large-scale two-sample comparison of support sets”, JASA, 119, 1604–1618, 2024.
  17. Cui, X., Shi, L., Zhong, W. and Zou, C. “Robust high-dimensional low-rank matrix estimation: optimal rate and data-adaptive tuning”, JMLR, 24, 1–57, 2023.
  18. Guo, X., Ren, H., Zou, C. and Li, R. “Threshold selection in feature screening for error rate control”, JASA, 118, 1773–1785, 2023.
  19. 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.
  20. 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.
  21. Ren, H., Zou, C., Chen, N. and Li, R. “Large-Scale datastreams surveillance via pattern-oriented-sampling”, JASA, 117, 794–808, 2022.
  22. 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

  1. Wu, J., Huang, K., Hu, D., Chen, B., Wu, H., Xia, S.-T. and Zou, C. “Alignment Imprint: Zero-Shot AI-Generated Text Detection via Provable Preference Discrepancy”, NeurIPS, 2026.
  2. Wang, M., Qian, C., Ren, H. and Zou, C. “Resilient Semi-Supervised Inference with Heterogeneous Unlabeled Data”, NeurIPS, 2026.
  3. Wang, X., Huo, Y., Peng, L. and Zou, C. “Learning U-statistics with active inference”, ICML, 2026.
  4. Min, Y., Peng, L. and Zou, C. “Stable localized conformal prediction via transduction”, ICML, 2026.
  5. Zhang, Y., Zhang, W., Zou, C. and Ren, H. “Generalized boundary FDR control under arbitrary dependence: an approach on closure principle”, ICML, 2026.
  6. Hu, Y., Tan, J., Zou, C., Bao, Y. and Ren, H. “Conformal robustness control: a new strategy for robust decision”, ICLR, 2026 (Oral).
  7. Wu, J., Hu, D., Xia, S. and Zou, C. “Distribution-informed online conformal prediction”, ICLR, 2026.
  8. Min, Y., Zhang, C., Peng, L. and Zou, C. “Personalized federated conformal prediction with localization”, NeurIPS, 2025.
  9. 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.
  10. Peng, Q., Bao. Y., Ren, H., Wang, Z. and Zou, C. “Conformal prediction with cellwise outliers: A detect-then-impute approach”, ICML, 2025.
  11. 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.
  12. Wu, X., Lu, L., Wang, Z. and Zou, C. “Conditional testing based on localized conformal p-values”, ICLR, 2025.
  13. Wu, J., Hu, D., Bao, Y., Xia, S. and Zou, C. “Error-quantified conformal inference for time series”, ICLR, 2025.
  14. 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.
  15. Chen, G., Jia, Y., Wang, G. and Zou, C. “Zipper: Addressing degeneracy in algorithm-agnostic inference”, NeurIPS, 2024 (Spotlight).
  16. Wang, X., Huo, Y., Peng, L. and Zou, C. “Conformalized multiple testing after data-dependent selection”, NeurIPS, 2024.
  17. Huo, Y., Lu, L., Ren, H. and Zou, C. “Real-time selection under general constraints via predictive inference”, NeurIPS, 2024.
  18. Yang, W., Shi, H., Guo, X. and Zou, C. “Robust group and simultaneous inferences for high-dimensional single index model”, NeurIPS, 2024.
  19. Qian, C., Wang, M., Ren, H. and Zou, C. “ByMI: Byzantine machine identification with false discovery rate control”, ICML, 2024.
  20. Chen, H., Jia, Y., Wang, G. and Zou, C. (2024). “Uncertainty quantification for data-driven change-point learning via cross-validation”, AAAI, 2024.
  21. 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.