Research
Research Interests
Statistical embedding for large scale complex data
Statistical uncertainty quantification (inference), high-dimensional statistics
Statistical machine learning and the use of generative AI for medical/economic/psychometric research
Preprints
Latent space directed counting network models and their application to citation networks of statistical journals.
S. Wu, T. Zhang, G. Xu, J. Zhu, 2024.A general latent embedding approach for modeling non-uniform high-dimensional sparse hypergraphs with multiplicity.
S. Wu, G. Xu, J. Zhu, 2024.
Journal Publication
On sure early selection of the best subset.
Z. Zhu, S. Wu, 2021. arXiv.2107.06939. (to appear in IEEE Transactions on Information Theory)Supervised homogeneity fusion: a combinatorial approach.
W. Wang*, S. Wu*, Z. Zhu, L. Zhou, P.X.K. Song, 2022. The Annals of Statistics, 52(1): 285-310, 2024.A distributed community detection algorithm for large scale networks under stochastic block models.
S. Wu*, Z. Li*, X. Zhu, 2021. Computational Statistics and Data Analysis, vol. 187, 2023.
*: (co-) first author / equal contribution