
Unveiling High-dimensional Backstage
A Survey for Reliable Visual Analytics with Dimensionality Reduction

Cluster-Label Matching
Measuring the Validity of Clustering Validation Datasets

Natural Language Dataset Generation Framework for Visualizations Powered by Large Language Models
a Large Language Model (LLM) framework that generates rich and diverse NL datasets using only Vega-Lite specifications as input

PhenoFlow
A Human-LLM Driven Visual Analytics System for Exploring Large and Complex Stroke Datasets

ZADU
A Python Library for Evaluating the Reliability of Dimensionality Reduction Embeddings

Classes are not Clusters
Improving Label-based Evaluation of Dimensionality Reduction

Large-scale Text-to-Image Generation Models for Visual Artists' Creative Works
A qualitative study to understand the use of large-scale text-to-image models for visual artists' creative works

CLAMS
A Cluster Ambiguity Measure for Estimating Perceptual Variability in Visual Clustering

UMATO
Uniform Manifold Approximation with Two-phase Optimization

Steadiness & Cohesiveness
Quality Metrics for Evaluating the Inter-cluster Reliability of Multidimensional Projections

Githru
Visual Analytics for Understanding Software Development History Through Git Metadata Analysis
A Critical Analysis of the Usage of Dimensionality Reduction in Four Domains.
Navigating High-Dimensional Backstage: A Guide for Exploring Literature for the Reliable Use of Dimensionality Reduction.
Unveiling High-dimensional Backstage: A Survey for Reliable Visual Analytics with Dimensionality Reduction.
Can VLMs Assess Similarity Between Graph Visualizations?.
Measuring the Validity of Clustering Validation Datasets.
Automated Pipeline for Detecting and Analyzing Misleading Visual Elements.
IoLens: Visual Analytics System for Exploring Storage I/O Tracking Process.
CLeVer: Continual Learning Visualizer for Detecting Task Transition Failure.
Combinational Nonuniform Timeslicing of Dynamic Networks.
PhenoFlow: A Human-LLM Driven Visual Analytics System for Exploring Large and Complex Stroke Datasets.
MoNetExplorer: A Visual Analytics System for Analyzing Dynamic Networks with Temporal Network Motifs.
Natural Language Dataset Generation Framework for Visualizations Powered by Large Language Models.
Clochat: Understanding How People Customize, Interact, and Experience Personas in Large Language Models.
Large-scale Text-to-Image Generation Models for Visual Artists' Creative Works.
ZADU: A Python Library for Evaluating the Reliability of Dimensionality Reduction Embeddings.
Classes are not Clusters: Improving Label-based Evaluation of Dimensionality Reduction.
CLAMS: A Cluster Ambiguity Measure for Estimating Perceptual Variability in Visual Clustering.
범죄 수사를 위한 상호작용이 가능한 다중 뷰 시각적 분석 시스템.
Uniform Manifold Approximation with Two-phase Optimization.
VANT: A Visual Analytics System for Refining Parallel Corpora in Neural Machine Translation.
Measuring and Explaining the Inter-Cluster Reliability of Multidimensional Projections.
Visualization Support for Multi-criteria Decision Making in Software Issue Propagation.
Interactive Visualization for Exploring Information Fragments in Software Repositories.
Githru: Visual Analytics for Understanding Software Development History Through Git Metadata Analysis.