9 citations · 21 across the 8 of their papers we have counts for
5 papers · 1 filter
Calibrated Transfer Learning for Survival Prediction and Treatment Inference
Shuoyang Wang, Wanyu Zhang, Lingli Yang +1
Historical survival data can improve prediction in a cohort with few events, but prognostic differences can make borrowing harmful. To borrow while adapting, we propose calibrated…
Adaptive Sampling of Costly Outcomes in Randomized Clinical Trials
Shuoyang Wang, Wanyu Zhang, Lingli Yang +1
In some randomized trials the primary outcome is costly or slow to measure, while auxiliary variables that predict it are available for everyone. The outcome can then be measured i…
Empowering Multi-class Classification for Multivariate Functional Data with Simultaneous Feature Selection
Shuoyang Wang, Guanqun Cao, Yuan Huang
The opportunity to utilize complex functional data types for conducting classification tasks is emerging with the growing availability of imaging data. However, the tools capable o…
Robust Deep Neural Network Estimation for Multi-dimensional Functional Data
Shuoyang Wang, Guanqun Cao
In this paper, we propose a robust estimator for the location function from multi-dimensional functional data. The proposed estimators are based on the deep neural networks with Re…
Optimal Classification for Functional Data
Shuoyang Wang, Zuofeng Shang, Guanqun Cao +1
A central topic in functional data analysis is how to design an optimaldecision rule, based on training samples, to classify a data function. We exploit the optimal classification…