Publications

* Corresponding author; † Equal contribution.

Peer-Reviewed Articles

  • Yan, X., and He, S.* (2026). Poisson subsampling for large-scale functional data analysis. Computational Statistics. https://doi.org/10.1007/s00180-026-01776-w

  • Zou, J., He, J., Yan, X.*, and Zhang, X. (2026). Optimal Poisson subsampling for multiplicative regressions with massive data. Scandinavian Journal of Statistics.https://doi.org/10.1111/sjos.70080

  • Zhong, Y., Ma, L., and Yan, X.* (2026). Topology-optimal multiple gossip steps for decentralized federated learning via gossip tensor. IEEE Transactions on Neural Networks and Learning Systems. https://doi.org/10.1109/TNNLS.2026.3670013

  • Chen, Y., Shi, G., Yan, X., and Zhang, B.*(2025). On the two-sample Behrens–Fisher problem for high-dimensional data. Journal of Multivariate Analysis. https://doi.org/10.1016/j.jmva.2025.105572

  • Feng, Y., Lv, L., Yan, X.*, Xu, L., and Liu, T.* (2024). A gradient-improved sampling plan for surrogate-based aerodynamic shape optimization using discontinuous Galerkin methods. Physics of Fluids, 36, 086115.

  • Konchady, T., Macri, M. L.*, Yan, X., and Huang, Z. J. (2024). The M33 Synoptic Stellar Survey. III. Miras and LPVs in griJHKs. Monthly Notices of the Royal Astronomical Society, 531(1), 110–132. https://doi.org/10.1093/mnras/stae1140

  • Zhou, H., Yan, X., and Zhou, L.* (2023). Robust joint modeling of sparsely observed paired functional data. Canadian Journal of Statistics. https://doi.org/10.1002/cjs.11796

  • He, S.*, and Yan, X.* (2022). Functional principal subspace sampling for large-scale functional data analysis. Electronic Journal of Statistics, 16(1), 2621–2682. https://doi.org/10.1214/22-EJS2010

  • He, S.*, and Yan, X. (2020). Randomized estimation of functional covariance operator via subsampling. Stat, 9(1), e311. https://doi.org/10.1002/sta4.311

Preprints

  • Zou, J., Yan, X., Zhang, B., and Fan, Y.* (2026). Optimal subsampling for distributed M-estimation with vertically partitioned massive data. Under review at Statistics and Computing.

  • Yan, X.†, Qu, J.†, Huang, Z. J., and Zhang, N.* (2026). Large-scale nonparametric quantile regression with basis sampling. Under review at the Journal of the American Statistical Association.

  • Yu, H., Dou, Z., Chen, Z., and Yan, X.* (2026). Optimal subsampling for large-scale elastic net regression. arXiv preprint arXiv:2305.15177. arXiv

  • Yan, X., Wang, L.*, He, S., and Huang, Z. J. (2026). ICE: Independent component estimation of spectrophotometric properties of Type Ia supernovae. Under review at The Astrophysical Journal.

Research Funding

  • National Natural Science Foundation of China (NSFC), Grant No. 12601523.