3 papers
stat.AP2026
Stein-Encoder: A White-Box Supervised Encoder via Stein Identities in Multi-Modal Studies
Jiarui Zhang, Shuoxun Xu, Jiasheng Shi +1
In multi-modal biomedical research, integrating high-dimensional genomic data with clinical baselines is essential for precision medicine. However, standard deep neural network app…
stat.ML2025
Learning covariate importance for matching in policy-relevant observational research
Hongzhe Zhang, Jiasheng Shi, Jing Huang
Matching methods are widely used to reduce confounding effects in observational studies, but conventional approaches often treat all covariates as equally important, which can resu…
stat.ME2025
Unlocking the Power of Time-Since-Infection Models: Data Augmentation for Improved Instantaneous Reproduction Number Estimation
Jiasheng Shi, Yizhao Zhou, Jing Huang
The Time Since Infection (TSI) models, which use disease surveillance data to model infectious diseases, have become increasingly popular due to their flexibility and capacity to a…