activity
20192024
most citedVisual Anomaly Detection in Event Sequence Data

23 citations · 46 across the 12 of their papers we have counts for

collaborators

12 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.HC2024★ 6 cited

Leveraging Foundation Models for Crafting Narrative Visualization: A Survey

Yi He, Ke Xu, Shixiong Cao +3

Narrative visualization transforms data into engaging stories, making complex information accessible to a broad audience. Foundation models, with their advanced capabilities such a…

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.HC2022★ 4 cited

The Chart Excites Me! Exploring How Data Visualization Design Influences Affective Arousal

Xingyu Lan, Yanqiu Wu, Qing Chen +1

As data visualizations have been increasingly applied in mass communication, designers often seek to grasp viewers immediately and motivate them to read more. Such goals, as sugges…

cs.HC2022★ 2 cited

VizBelle: A Design Space of Embellishments for Data Visualization

Qing Chen, Ziyan Liu, Chengwei Wang +4

Visual embellishments, as a form of non-linguistic rhetorical figures, are used to help convey abstract concepts or attract readers' attention. Creating data visualizations with ap…

cs.HC2022★ 6 cited

How Does Automation Shape the Process of Narrative Visualization: A Survey of Tools

Qing Chen, Shixiong Cao, Jiazhe Wang +1

In recent years, narrative visualization has gained much attention. Researchers have proposed different design spaces for various narrative visualization genres and scenarios to fa…

cs.HC2021★ 2 cited

VizLinter: A Linter and Fixer Framework for Data Visualization

Qing Chen, Fuling Sun, Xinyue Xu +3

Despite the rising popularity of automated visualization tools, existing systems tend to provide direct results which do not always fit the input data or meet visualization require…

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…

cs.HC2019★ 23 cited

Visual Anomaly Detection in Event Sequence Data

Shunan Guo, Zhuochen Jin, Qing Chen +3

Anomaly detection is a common analytical task that aims to identify rare cases that differ from the typical cases that make up the majority of a dataset. When applied to the analys…