activity
20232026
most citedThe Categorical Data Map: A Multidimensional Scaling-Based Approach

6 citations · 11 across the 5 of their papers we have counts for

collaborators

7 papers

cs.LG2026

ibUMAP: Coherent and Scalable Field Evaluation for UMAP Optimization

Bin Chen, Yumeng Xue, Patrick Paetzold +2

UMAP achieves scalable layout optimization through stochastic negative sampling. However, this stochasticity can lead to unstable embeddings across reruns and downstream reuse, as…

cs.GR2026

Structuring Line Ensembles with Path-Integrated Fidelity and Structural Inconsistency Fields

Yumeng Xue, Patrick Paetzold, Bin Chen +3

When visualizing large-scale line ensembles, trajectory continuity and visual scalability are inherently antagonistic. Trajectory-centric renderings preserve path information but r…

cs.GR2025

Enhancing Line Density Plots with Outlier Control and Bin-based Illumination

Yumeng Xue, Bin Chen, Patrick Paetzold +3

Density plots effectively summarize large numbers of points, which would otherwise lead to severe overplotting in, for example, a scatter plot. However, when applied to line-based…

cs.GR2025

Neighborhood-Preserving Voronoi Treemaps

Patrick Paetzold, Rebecca Kehlbeck, Yumeng Xue +3

Voronoi treemaps are used to depict nodes and their hierarchical relationships simultaneously. However, in addition to the hierarchical structure, data attributes, such as co-occur…

cs.HC2024

UADAPy: An Uncertainty-Aware Visualization and Analysis Toolbox

Patrick Paetzold, David Hägele, Marina Evers +2

Current research provides methods to communicate uncertainty and adapts classical algorithms of the visualization pipeline to take the uncertainty into account. Various existing vi…

cs.HC2024★ 6 cited

The Categorical Data Map: A Multidimensional Scaling-Based Approach

Frederik L. Dennig, Lucas Joos, Patrick Paetzold +4

Categorical data does not have an intrinsic definition of distance or order, and therefore, established visualization techniques for categorical data only allow for a set-based or…

cs.GR2023★ 5 cited

Reducing Ambiguities in Line-based Density Plots by Image-space Colorization

Yumeng Xue, Patrick Paetzold, Rebecca Kehlbeck +4

Line-based density plots are used to reduce visual clutter in line charts with a multitude of individual lines. However, these traditional density plots are often perceived ambiguo…