1 citations · 1 across the 6 of their papers we have counts for
6 papers
Evaluating the Semantic Profiling Abilities of LLMs for Natural Language Utterances in Data Visualization
Hannah K. Bako, Arshnoor Bhutani, Xinyi Liu +2
Automatically generating data visualizations in response to human utterances on datasets necessitates a deep semantic understanding of the data utterance, including implicit and ex…
ASAP: Interpretable Analysis and Summarization of AI-generated Image Patterns at Scale
Jinbin Huang, Chen Chen, Aditi Mishra +3
Generative image models have emerged as a promising technology to produce realistic images. Despite potential benefits, concerns grow about its misuse, particularly in generating d…
WHATSNEXT: Guidance-enriched Exploratory Data Analysis with Interactive, Low-Code Notebooks
Chen Chen, Jane Hoffswell, Shunan Guo +5
Computational notebooks such as Jupyter are popular for exploratory data analysis and insight finding. Despite the module-based structure, notebooks visually appear as a single thr…
Mystique: Deconstructing SVG Charts for Layout Reuse
Chen Chen, Bongshin Lee, Yunhai Wang +2
To facilitate the reuse of existing charts, previous research has examined how to obtain a semantic understanding of a chart by deconstructing its visual representation into reusab…
Complexity-aware Large Scale Origin-Destination Network Generation via Diffusion Model
Can Rong, Jingtao Ding, Zhicheng Liu +1
The Origin-Destination~(OD) networks provide an estimation of the flow of people from every region to others in the city, which is an important research topic in transportation, ur…
A Comparative Evaluation of Visual Summarization Techniques for Event Sequences
Kazi Tasnim Zinat, Jinhua Yang, Arjun Gandhi +2
Real-world event sequences are often complex and heterogeneous, making it difficult to create meaningful visualizations using simple data aggregation and visual encoding techniques…