Heterogeneous information networks (HINs) have been extensively applied ...
Graph-based methods have been extensively applied to whole-slide
histopa...
Functional data often arise in the areas where the causal treatment effe...
In the development of new cancer treatment, an essential step is to dete...
Despite the enormous success of graph neural networks (GNNs), most exist...
Mahalanobis distance between treatment group and control group covariate...
In many fields, researchers are interested in discovering features with
...
In clinical trials, there often exist multiple historical studies for th...
The Kaplan–Meier (KM) estimator, which provides a nonparametric estimate...
Image dehazing without paired haze-free images is of immense importance,...
In the hypothesis testing framework, p-value is often computed to determ...
We propose a novel framework to understand the text by converting senten...
We propose a differentiable nonparametric algorithm, the Delaunay
triang...
Iterative Hessian sketch (IHS) is an effective sketching method for mode...
As a convention, p-value is often computed in frequentist hypothesis tes...
We introduce a Bayesian defect detector to facilitate the defect detecti...