4 citations · 5 across the 9 of their papers we have counts for
10 papers
A Design Space for Visual Interfaces for Generative Image Models
Susie S. Y. Li, Mingwei S. G. Li, Remco Chang
Interactive visual interfaces have become an important means of controlling generative image models, enabling users to manipulate generation through prompts, direct manipulation, a…
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…
GraphPolaris: A System for Query, Analysis, and Visualization of Graph Databases
Michael Behrisch, Sjoerd Vink, Leonardo Christino +1
Graph databases are increasingly adopted as alternatives to tabular, aggregation-focused data models used in business intelligence (BI) systems such as Tableau, Power BI, and Looke…
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…
Visual Decoding Operators: Towards a Compositional Theory of Visualization Perception
Sheng Long, Remco Chang, Eugene Wu +2
Prior work on perceptual effectiveness has decomposed visualizations into smaller common units (e.g., channels such as angle, position, and length) to establish rankings. While use…
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…
A Typology of Decision-Making Tasks for Visualization
Camelia D. Brumar, Sam Molnar, Gabriel Appleby +2
Despite decision-making being a vital goal of data visualization, little work has been done to differentiate decision-making tasks within the field. While visualization task taxono…
Preliminary Guidelines For Combining Data Integration and Visual Data Analysis
Adam Coscia, Ashley Suh, Remco Chang +1
Data integration is often performed to consolidate information from multiple disparate data sources during visual data analysis. However, integration operations are usually separat…
RekomGNN: Visualizing, Contextualizing and Evaluating Graph Neural Networks Recommendations
Camelia D. Brumar, Gabriel Appleby, Jen Rogers +4
Content recommendation tasks increasingly use Graph Neural Networks, but it remains challenging for machine learning experts to assess the quality of their outputs. Visualization s…