research
∙
08/16/2023
Deep Generative Imputation Model for Missing Not At Random Data
Data analysis usually suffers from the Missing Not At Random (MNAR) prob...
share
research
∙
07/21/2023
Project Florida: Federated Learning Made Easy
We present Project Florida, a system architecture and software developme...
research
∙
11/23/2021
Uncertainty-Aware Deep Co-training for Semi-supervised Medical Image Segmentation
Semi-supervised learning has made significant strides in the medical dom...
research
∙
12/22/2020
APIK: Active Physics-Informed Kriging Model with Partial Differential Equations
Kriging (or Gaussian process regression) is a popular machine learning m...
research
∙
07/27/2020
A calibration-free method for biosensing in cell manufacturing
Chimeric antigen receptor T cell therapy has demonstrated innovative the...
research
∙
10/12/2019
Adaptive design for Gaussian process regression under censoring
A key objective in engineering problems is to predict an unknown experim...
research
∙
10/03/2019
Function-on-function kriging, with applications to 3D printing of aortic tissues
3D-printed medical phantoms, which use synthetic metamaterials to mimic ...
research
∙
02/05/2019
AVP: Physics-informed Data Generation for Small-data Learning
Deep neural networks have achieved great success in multiple learning pr...
research
∙
08/14/2018
