Zhong, Y., Ma, L., *Yan, X. (2026). Topology-optimal multiple gossip steps for decentralized federated learning via gossip tensor. IEEE Transactions on Neural Networks and Learning Systems.
Chen, Y., Shi, G., Yan, X., and Zhang, B., (2025) On the two-sample Behrens-Fisher problem for high-dimensional data. Journal of Multivarate Analysis.
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 Main Journal, 531(1), pp. 110–132. Link:https://doi.org/10.1093/mnras/stae1140
Zhou, H., Yan, X. and *Zhou, L. (2023). Robust joint modeling of sparsely observed paired functional data. Can J Statistics.Link: 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), pp.2621-2682. Link: https://doi.org/10.1214/22-EJS2010
*He, S. and Yan, X., (2020). Randomized estimation of functional covariance operator via subsampling. Stat, 9(1), p.e311. Link: https://doi.org/10.1002/sta4.311
Yan, X., and He, S., (2026+) Poisson Subsampling for Large-Scale Functional Data Analysis. Under Review for Computational Statistics.
Jiahui Zou, Jie He, *Xiaomeng Yan, Xinyu Zhang. (2026+). Optimal Poisson subsampling for multiplicative regressions with massive data. Under Review for Scandinavian Journal of Statistics.
Yu, H., Dou, Z., Chen, Z. and Yan, X., (2026+). Optimal subsampling for large scale Elastic-net regression. arXiv preprint arXiv:2305.15177.
Yan, X., Wang, L., He, S. and Huang, Z.J. (2026+). ICE: Independent Component Estimation of Spectrophotometric Properties of Type Ia Supernovae. Under Review for The Astrophysical Journal.