Publications
Preprints
- Multicalibration Boosting: Theory, Convergence, and Transferability, Hanxuan Ye, Hongzhe Li, 2026.
- Differential Density Analysis in Single-Cell Genomics Using Specially Designed Exponential Families, Hanxuan Ye, Zachary Qian, Hongzhe Li, 2025. Submitted.
- A Modern Theory for High-dimensional Cox Regression Models, Xianyang Zhang, Huijuan Zhou, Hanxuan Ye, 2022. Submitted to The Annals of Statistics.
Publications
- Multicalibration for Modeling Censored Survival Data with Universal Adaptability, Hanxuan Ye, Hongzhe Li, 2024. Biometrika, just accepted.
- Batch Effect Correction with Re-measured Samples in Completely Confounded Case-control Studies Hanxuan Ye, Xianyang Zhang, Jun Chen, 2023. Nature Computational Science 3, 709-719.
- A Unified Analysis of Multi-task Functional Linear Regression Models with Manifold Constraint and Composite Quadratic Penalty, Shiyuan He, Hanxuan Ye, Kejun He, 2023. Journal of Machine Learning Research (JMLR) 24(291):1−69.
- Spline Estimation of Functional Principal Components via Mainfold Conjugate Gradient Algorithm, Hanxuan Ye, Shiyuan He, Kejun He, 2022. Statistics and Computing 32, 106.
In Preparation
