activity
20232026
most citedData Formulator 2: Iterative Creation of Data Visualizations, with AI Transforming Data Along the Way

2 citations · 3 across the 5 of their papers we have counts for

collaborators

5 papers

cs.LG2026

Chart2SVG: Editable SVG Generation from Raster Chart Images

Jinning Cui, Lu Chen, Haoyan Shi +5

We present Chart2SVG, a multimodal large language model that converts static raster charts into structurally organized, semantically enriched SVGs that support programmatic editing…

cs.HC2026

Flint: A Semantics-Driven Data Visualization Intermediate Language

Yunhai Wang, Kecheng Lu, Junhao Chen +2

We present Flint, an intermediate language that enables authors to create high-quality visualizations from concise, semantics-driven specifications without explicitly configuring l…

cs.HC2026

MagicCopy: Bring my data along with me beyond boundaries of apps

Priyan Vaithilingam, Elena L. Glassman, Nathalie Henry Riche +3

People working with data often move their data across multiple applications, because they rely on these apps' complementing user experiences to best complete their tasks. Since tra…

cs.HC2024★ 2 cited

Data Formulator 2: Iterative Creation of Data Visualizations, with AI Transforming Data Along the Way

Chenglong Wang, Bongshin Lee, Steven Drucker +2

Data analysts often need to iterate between data transformations and chart designs to create rich visualizations for exploratory data analysis. Although many AI-powered systems hav…

cs.HC2023★ 1 cited

Data Formulator: AI-powered Concept-driven Visualization Authoring

Chenglong Wang, John Thompson, Bongshin Lee

With most modern visualization tools, authors need to transform their data into tidy formats to create visualizations they want. Because this requires experience with programming o…