Data privacy
Uncertainty quantification
Optimal subsampling
Online learning
Predictive inference
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Data privacy
Uncertainty quantification
Large-scale data analysis
Online learning
Han, Y., Zou, C., Jiang, B., Kong, L.* (2025). ''Differentially private one-shot model-free screening with FDR control''. Journal of the American Statistical Association, invited revision submitted.
Wang, K., Chen,Y., Han, Y., Xu, W.*, and Kong, L.* (2026). ''Adaptive selection for false discovery rate control leveraging symmetry''. Journal of the American Statistical Association, 151(553), 360-372. Code.
Han, Y., Zou, C., Kong, L.*, and Jiang, B.*(2026). "PRISE: Private model-free selection with false discovery control". under review.
Yang, Z.#, Han, Y.#, Qiang, C.#, Li, L., Sang, P.*, Jiang, B., and Kong, L.*(2026). "Medical classification from statisticians' perspectives: interpretable models, black-box learners, and foundation models". under review.
Kong, J.#, Han, Y.#, Zhang, C., Zhang, W., Kong, L., Yang, G.*, and Jiang, B.*(2026). "Response-powered localized conformal prediction". under review.
Slessor, J.#, Han, Y.#, Hu, R., Tang, W., Kong, L., and Jiang, B.*(2026). "OptAPI: Optimally active powered inference under label budget". under review.
Yang, Z., Sang, P., Han, Y., Jiang, B., Kong, L.*, and Zhou, X*.(2026). "Personalized treatment design in the context of functional confounding". Biometrics, 82(2).
Wei, H.#, Lei, X.#, Han, Y.#, and Zhang, H.* (2026). ''High-dimensional inference and FDR control for simulated Markov random fields''. Statistics and Its Interface, 19, 369-391. ArXiv
Han, Y., Yu, J., Zhang, N., Meng, C., Zhong, W., Ma, P.*, and Zou, C. (2025). ''Leverage classifier: another look at support vector machine''. Statistica Sinica, 35, 1605-1625. Code
Zhang, C., Han, Y., Wang, Y., Yan, X., Kong, L., Li, T.*, and Jiang, B.* (2025). ''Differentially private analysis for binary response models: optimality, estimation, and inference''. The International Conference on Machine Learning (ICML, Acceptance rate: 26.9%).
Han, Y., Guo, X.*, and Zou, C. (2025). ''Model-free controlled variable selection via data splitting''. Science China Mathematics - in Chinese, 55(8), 1567-1592. ArXiv
Han, Y., Ma, P., Ren, H., and Wang, Z.* (2023). ''Model checking in large-scale dataset via structure-adaptive-sampling''. Statistica Sinica, 33, 303-329. Code Supp .
Han, Y., Wang, Y., and Wang, Z.* (2023). ''A spatially adaptive large-scale multiple testing procedure''. Stat, e565.
I serve as an anonymous reviewer for international journals and conferences, including:
Journal of the American Statistical Association, Journal of the Royal Statistical Society Series B, Statistica Sinica, Journal of Computational and Graphical Statistics, Statistics and Its Interface, Data Science in Science.
ICML, NeurIPS.
Information Sciences.