3 citations · 13 across the 26 of their papers we have counts for
8 papers · 1 filter
A Data-Centric Perspective on Tree Visualizations
Manling Yang, Alexandra Scott, Chris Ahn +4
Tree visualization (TreeVis) techniques span diverse designs. Existing taxonomies organize them by visual characteristics such as layout dimensionality, edge representation, and no…
ZipLine: Visual Analysis of Multivariate Graphs with Predicate Logic
Sjoerd Vink, Suyang Li, Brian Montambault +3
Multivariate graphs unite two distinct data perspectives: a topological structure defined by nodes and edges, and attribute data associated with each node. Analyzing such graphs th…
LatentGandr: Visual Exploration of Generative AI Latent Space via Local Embeddings
Mingwei S. G. Li, Susie S. Y. Li, Daisuke Sakurai +2
Generative AI has demonstrated significant potential in creative design, enabling the rapid generation of visual content and imaginative concepts. Although deep AI models achieve e…
AlloyLens: A Visual Analytics Tool for High-throughput Alloy Screening and Inverse Design
Suyang Li, Fernando Fajardo-Rojas, Diego Gomez-Gualdron +2
Designing multi-functional alloys requires exploring high-dimensional composition-structure-property spaces, yet current tools are limited to low-dimensional projections and offer…
Concept Lens: Visually Analyzing the Consistency of Semantic Manipulation in GANs
Sangwon Jeong, Mingwei Li, Matthew Berger +1
As applications of generative AI become mainstream, it is important to understand what generative models are capable of producing, and the extent to which one can predictably contr…
DimBridge: Interactive Explanation of Visual Patterns in Dimensionality Reductions with Predicate Logic
Brian Montambault, Gabriel Appleby, Jen Rogers +3
Dimensionality reduction techniques are widely used for visualizing high-dimensional data. However, support for interpreting patterns of dimension reduction results in the context…
UnProjection: Leveraging Inverse-Projections for Visual Analytics of High-Dimensional Data
Mateus Espadoto, Gabriel Appleby, Ashley Suh +6
Projection techniques are often used to visualize high-dimensional data, allowing users to better understand the overall structure of multi-dimensional spaces on a 2D screen. Altho…
Comparing Deep Neural Nets with UMAP Tour
Mingwei Li, Carlos Scheidegger
Neural networks should be interpretable to humans. In particular, there is a growing interest in concepts learned in a layer and similarity between layers. In this work, a tool, UM…