27th Conference of the International Linear Algebra Society (ILAS 2026)

Multiscale Grassmann Manifolds for Single-Cell Data Analysis

May 21, 2026, 11:00 AM

25m

Torgersen Hall 1060 (Virginia Tech)

Minisymposium Talk New Advancements in Tensor Decomposition and Computation New Advancements in Tensor Decomposition and Computation

Speaker

Dr Xiang Xiang Wang (Michigan State University)

Description

Single-cell data are typically represented in Euclidean space, which limits the ability to capture intrinsic correlations and multiscale geometric structure. We propose a multiscale framework based on Grassmann manifolds that represents single-cell RNA-seq data through subspace geometry across multiple scales.