activity
20192024
most citedPheno-Mapper: An Interactive Toolbox for the Visual Exploration of Phenomics Data

3 citations · 3 across the 5 of their papers we have counts for

collaborators

8 papers

math.MG2024

Geometry of the Space of Partitioned Networks: A Unified Theoretical and Computational Framework

Stephen Y Zhang, Fangfei Lan, Youjia Zhou +4

Interactions and relations between objects may be pairwise or higher-order in nature, and so network-valued data are ubiquitous in the real world. The "space of networks", however,…

cs.LG2022

Experimental Observations of the Topology of Convolutional Neural Network Activations

Emilie Purvine, Davis Brown, Brett Jefferson +6

Topological data analysis (TDA) is a branch of computational mathematics, bridging algebraic topology and data science, that provides compact, noise-robust representations of compl…

cs.CG20213 cited

Pheno-Mapper: An Interactive Toolbox for the Visual Exploration of Phenomics Data

Youjia Zhou, Methun Kamruzzaman, Patrick Schnable +3

High-throughput technologies to collect field data have made observations possible at scale in several branches of life sciences. The data collected can range from the molecular le…

cs.CG2021

Stitch Fix for Mapper and Topological Gains

Youjia Zhou, Nathaniel Saul, Ilkin Safarli +2

The mapper construction is a powerful tool from topological data analysis that is designed for the analysis and visualization of multivariate data. In this paper, we investigate a…

cs.HC2021

Topological Simplifications of Hypergraphs

Youjia Zhou, Archit Rathore, Emilie Purvine +1

We study hypergraph visualization via its topological simplification. We explore both vertex simplification and hyperedge simplification of hypergraphs using tools from topological…

cs.LG2020

Interpreting Graph Drawing with Multi-Agent Reinforcement Learning

Ilkin Safarli, Youjia Zhou, Bei Wang

Applying machine learning techniques to graph drawing has become an emergent area of research in visualization. In this paper, we interpret graph drawing as a multi-agent reinforce…