Utilizing Visualization-oriented Natural Language Interfaces (V-NLI) as a complementary
input modality to direct manipulation for visual analytics can provide an engaging user …

Since a vast number of tables can be easily collected from web pages, spreadsheets, PDFs,
and various other document types, a flurry of table pre-training frameworks have been …

The use of natural language interfaces (NLIs) to create charts is becoming increasingly
popular due to the intuitiveness of natural language interactions. One key challenge in this …

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 …

Data visualization is a powerful tool for exploring and communicating insights in various
domains. To automate visualization choice for datasets, a task known as visualization …

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

Automated visualization recommendation facilitates the rapid creation of effective
visualizations, which is especially beneficial for users with limited time and limited …

With the availability of big data for food safety, more and more advanced data analysis
methods are being applied to risk analysis and prewarning (RAPW). Visual analytics, which …

General visualization recommendation systems typically make design decisions for the
dataset automatically. However, most of them can only prune meaningless visualizations but …

Extracting data insights and generating visual data stories from tabular data are critical parts
of data analysis. However, most existing studies primarily focus on tabular data stored as flat …