Papers
Publications
The papers listed below with asterisk * are in alphabetical order.Z. Bao, X. Ding, J. Wang, and K. Wang. (2022). *Statistical inference for principal components of spiked covariance matrices. Annals of Statistics, 50(2): 1144-1169. [Website, PDF]
J. Jin, Z. Ke, G. Moryoussef, J. Tang, and J. Wang. (2024). *Improved algorithm and bounds for successive projection. International Conference on Learning Representations (ICLR). arXiv:2403.11013.
Z. Ke and J. Wang. (2024). *Entry-wise eigenvector analysis and improved rates for topic modeling on short documents. Mathematics 2024, 12(11), 1682. [Website]
Preprints
Z. Ke and J. Wang. (2022). *Optimal network membership estimation under severe degree heterogeneity. Minor revision submitted to Journal of the American Statistical Association. arXiv: 2204.12087.
J. Wang, L. Xia, Z. Bao, and X. Tong. (2022). Non-splitting Neyman-Pearson classifiers. Accepted by Journal of Machine Learning Research. arXiv: 2112.00329.
J. Jin, Z. Ke, J. Tang, and J. Wang. (2023). *Network goodness-of-fit for the block-model family. Submitted to Journal of the American Statistical Association.
J. Jin and J. Wang. (2024). *Community detection with the logit-DCBM. Submitted.