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]
J. Wang, L. Xia, Z. Bao, and X. Tong. (2024). Non-splitting Neyman-Pearson classifiers. Journal of Machine Learning Research. (292):1−61, 2024. [Website]
Z. Ke and J. Wang. (2024). *Optimal network membership estimation under severe degree heterogeneity. Journal of the American Statistical Association, 120(550), 948–962. [Website]
J. Jin, Z. Ke, J. Tang, and J. Wang. (2025). *Network goodness-of-fit for the block-model family. Journal of the American Statistical Association, 1-14. [Website]
J. Jin and J. Wang. (2025). *Fitting networks with a cancellation trick. International Conference on Learning Representations (ICLR). arXiv: 2502.16728.