Visualizations themselves have become a data format. Akin to other data formats such as
text and images, visualizations are increasingly created, stored, shared, and (re-) used with …

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 …

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 …

Analytical dashboards are popular in business intelligence to facilitate insight discovery with
multiple charts. However, creating an effective dashboard is highly demanding, which …

We contribute a deep-learning-based method that assists in designing analytical
dashboards for analyzing a data table. Given a data table, data workers usually need to …

Multiple-view (MV) representations enabling multi-perspective exploration of large and
complex data are often employed on 2D displays. The technique also shows great potential …

Despite the ever-growing popularity of dashboards across a wide range of domains, their
authoring still remains a tedious and complex process. Current tools offer considerable …

To facilitate engaging and nuanced conversations around data, we contribute a touchless
approach to interacting directly with visualization in remote presentations. We combine …

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