Statistical ranking with dynamic covariates

Prediction-Oriented Transfer Learning for Survival Analysis

What Separates Useful from Useless Synthetic Data? Verifying Synthetic Data through Representations

Homogeneity Pursuit in Ranking Inference Based on Pairwise Comparison

Deep Learning Assisted Variable Selection with False Discovery Rate Control

Maximin Learning of Individualized Treatment Effect on Multi-Domain Outcomes

Double Fairness Policy Learning: Integrating Action Fairness and Outcome Fairness in Decision-making

Identifying the Desert Decision Rule to Assess and Achieve Fairness

AI for dynamics network biology

Local-and-Global Information-Preserving Statistical Manifold Learning for Single-Cell Transcriptomics

Deciphering Tissue Spatial Heterogeneity: Methods for the Identification of Spatially Variable Genes and the Characterization of Spatial Structures

Meta-Encoder: Integrating Multiple Pathological Foundation Models to Enhance Predictive Accuracy for Key Cancer Biomarkers and Spatial Omics