18 citations · 32 across the 9 of their papers we have counts for
9 papers
Augmentation Invariant Manifold Learning
Shulei Wang
Data augmentation is a widely used technique and an essential ingredient in the recent advance in self-supervised representation learning. By preserving the similarity between augm…
Self-Supervised Metric Learning in Multi-View Data: A Downstream Task Perspective
Shulei Wang
Self-supervised metric learning has been a successful approach for learning a distance from an unlabeled dataset. The resulting distance is broadly useful for improving various dis…
Robust Differential Abundance Test in Compositional Data
Shulei Wang
Differential abundance tests in compositional data are essential and fundamental tasks in various biomedical applications, such as single-cell, bulk RNA-seq, and microbiome data an…
Treatment Effects Estimation by Uniform Transformer
Ruoqi Yu, Shulei Wang
In observational studies, balancing covariates in different treatment groups is essential to estimate treatment effects. One of the most commonly used methods for such purposes is…
Finding Differentially Covarying Needles in a Temporally Evolving Haystack: A Scan Statistics Perspective
Ronak Mehta, Hyunwoo J. Kim, Shulei Wang +3
Recent results in coupled or temporal graphical models offer schemes for estimating the relationship structure between features when the data come from related (but distinct) longi…
Spatially Adaptive Colocalization Analysis in Dual-Color Fluorescence Microscopy
Shulei Wang, Ellen T. Arena, Jordan T. Becker +4
Colocalization analysis aims to study complex spatial associations between bio-molecules via optical imaging techniques. However, existing colocalization analysis workflows only as…