activity
20212024
most citedChart2Vec: A Universal Embedding of Context-Aware Visualizations

2 citations · 3 across the 6 of their papers we have counts for

collaborators

6 papers

cs.HC2024

Beyond Numbers: Creating Analogies to Enhance Data Comprehension and Communication with Generative AI

Qing Chen, Wei Shuai, Jiyao Zhang +2

Unfamiliar measurements usually hinder readers from grasping the scale of the numerical data, understanding the content, and feeling engaged with the context. To enhance data compr…

cs.HC2023

Calliope-Net: Automatic Generation of Graph Data Facts via Annotated Node-link Diagrams

Qing Chen, Nan Chen, Wei Shuai +4

Graph or network data are widely studied in both data mining and visualization communities to review the relationship among different entities and groups. The data facts derived fr…

cs.HC2023★ 1 cited

Urania: Visualizing Data Analysis Pipelines for Natural Language-Based Data Exploration

Yi Guo, Nan Cao, Xiaoyu Qi +5

Exploratory Data Analysis (EDA) is an essential yet tedious process for examining a new dataset. To facilitate it, natural language interfaces (NLIs) can help people intuitively ex…

cs.HC2023★ 2 cited

Chart2Vec: A Universal Embedding of Context-Aware Visualizations

Qing Chen, Ying Chen, Ruishi Zou +4

The advances in AI-enabled techniques have accelerated the creation and automation of visualizations in the past decade. However, presenting visualizations in a descriptive and gen…

cs.HC2023

Datamator: An Intelligent Authoring Tool for Creating Datamations via Data Query Decomposition

Yi Guo, Nan Cao, Ligan Cai +4

Datamation is designed to animate an analysis pipeline step by step, which is an intuitive and effective way to interpret the results from data analysis. However, creating a datama…

cs.HC2021

Talk2Data: A Natural Language Interface for Exploratory Visual Analysis via Question Decomposition

Yi Guo, Danqing Shi, Mingjuan Guo +3

Through a natural language interface (NLI) for exploratory visual analysis, users can directly "ask" analytical questions about the given tabular data. This process greatly improve…