Transfer learning has been demonstrated to be effective for many real-world applications as
it exploits knowledge present in labeled training data from a source domain to enhance a …

Gene regulation is a central topic in cell biology. Advances in omics technologies and the
accumulation of omics data have provided better opportunities for gene regulation studies …

Hyperspectral (HS) imaging, also known as image spectrometry, is a landmark technique in
geoscience and remote sensing (RS). In the past decade, enormous efforts have been made …

In this paper, we aim at tackling a general but interesting cross-modality feature learning
question in remote sensing community—can a limited amount of highly-discriminative (eg …

With a large amount of open satellite multispectral (MS) imagery (eg, Sentinel-2 and Landsat-
8), considerable attention has been paid to global MS land cover classification. However, its …

We propose a manifold alignment based approach for heterogeneous domain adaptation. A
key aspect of this approach is to construct mappings to link different feature spaces in order …

The molecular mechanisms and functions in complex biological systems currently remain
elusive. Recent high-throughput techniques, such as next-generation sequencing, have …

Single cell experimental techniques reveal transcriptomic and epigenetic heterogeneity
among cells, but how these are related is unclear. We present MATCHER, an approach for …

Most previous heterogeneous transfer learning methods learn a cross-domain feature
mapping between heterogeneous feature spaces based on a few cross-domain instance …

We present scTenifoldXct, a semi-supervised computational tool for detecting ligand-
receptor (LR)-mediated cell-cell interactions and mapping cellular communication graphs …