Abstract Information visualizations such as bar charts and line charts are very common for
analyzing data and discovering critical insights. Often people analyze charts to answer …

Generative AI (GenAI) has witnessed remarkable progress in recent years and
demonstrated impressive performance in various generation tasks in different domains such …

Visualization recommendation or automatic visualization generation can significantly lower
the barriers for general users to rapidly create effective data visualizations, especially for …

High-quality visualization collections are beneficial for a variety of applications including
visualization reference and data-driven visualization design. The visualization community …

Charts are very popular for analyzing data, visualizing key insights and answering complex
reasoning questions about data. To facilitate chart-based data analysis using natural …

Rainbow color scheme is popularly used across the board in many scientific disciplines for
visualizing data, yet heavily debated in visualization literature. In this paper, we first report …

The last decade has witnessed many visual analytics (VA) systems that make successful
applications to wide-ranging domains like urban analytics and explainable AI. However …

We present InvVis, a new approach for invertible visualization, which is reconstructing or
further modifying a visualization from an image. InvVis allows the embedding of a significant …

We present an exploratory study on the accessibility of images in publications when viewed
with color vision deficiencies (CVDs). The study is based on 1,710 images sampled from a …

Composite visualization is a popular design strategy that represents complex datasets by
integrating multiple visualizations in a meaningful and aesthetic layout, such as …