activity
20202022
most citedCicero: A Declarative Grammar for Responsive Visualization

24 citations · 65 across the 9 of their papers we have counts for

collaborators

11 papers

cs.HC202224 cited

Cicero: A Declarative Grammar for Responsive Visualization

Hyeok Kim, Ryan Rossi, Fan Du +4

Designing responsive visualizations can be cast as applying transformations to a source view to render it suitable for a different screen size. However, designing responsive visual…

cs.HC20212 cited

VBridge: Connecting the Dots Between Features and Data to Explain Healthcare Models

Furui Cheng, Dongyu Liu, Fan Du +5

Machine learning (ML) is increasingly applied to Electronic Health Records (EHRs) to solve clinical prediction tasks. Although many ML models perform promisingly, issues with model…

cs.HC20214 cited

An Evaluation-Focused Framework for Visualization Recommendation Algorithms

Zehua Zeng, Phoebe Moh, Fan Du +5

Although we have seen a proliferation of algorithms for recommending visualizations, these algorithms are rarely compared with one another, making it difficult to ascertain which a…

cs.HC202110 cited

Insight-centric Visualization Recommendation

Camille Harris, Ryan A. Rossi, Sana Malik +5

Visualization recommendation systems simplify exploratory data analysis (EDA) and make understanding data more accessible to users of all skill levels by automatically generating v…

cs.HC2021

ChartStory: Automated Partitioning, Layout, and Captioning of Charts into Comic-Style Narratives

Jian Zhao, Shenyu Xu, Senthil Chandrasegaran +6

Visual data storytelling is gaining importance as a means of presenting data-driven information or analysis results, especially to the general public. This has resulted in design p…

cs.IR2021

Personalized Visualization Recommendation

Xin Qian, Ryan A. Rossi, Fan Du +5

Visualization recommendation work has focused solely on scoring visualizations based on the underlying dataset and not the actual user and their past visualization feedback. These…