1 citations · 3 across the 7 of their papers we have counts for
9 papers
UncertaintyVis: Preserving Linguistic Uncertainty in Automated Text-to-Chart Generation
Songheng Zhang, Emily Aurelia, Anthony Tang
Data-rich documents pair narrative text with quantitative claims, and authors routinely qualify those claims with linguistic uncertainty markers such as "nearly," "approximately,"…
BAIT: Visual-illusion-inspired Privacy Preservation for Mobile Data Visualization
Sizhe Cheng, Songheng Zhang, Dong Ma +1
With the prevalence of mobile data visualizations, there have been growing concerns about their privacy risks, especially shoulder surfing attacks. Inspired by prior research on vi…
Chameleon: Automated Color Palette Adaptation for Dark Mode Data Visualizations
Manusha Karunathilaka, Songheng Zhang, Anthony Tang +3
Dark mode has gained widespread adoption across mobile platforms due to its benefits in reducing eye strain and conserving battery life. However, while the mobile system switches t…
ChartifyText: Automated Chart Generation from Data-Involved Texts via LLM
Songheng Zhang, Lei Wang, Toby Jia-Jun Li +3
Text documents with numerical values involved are widely used in various applications such as scientific research, economy, public health and journalism. However, it is difficult f…
AdaVis: Adaptive and Explainable Visualization Recommendation for Tabular Data
Songheng Zhang, Haotian Li, Huamin Qu +1
Automated visualization recommendation facilitates the rapid creation of effective visualizations, which is especially beneficial for users with limited time and limited knowledge…
LLM4Vis: Explainable Visualization Recommendation using ChatGPT
Lei Wang, Songheng Zhang, Yun Wang +2
Data visualization is a powerful tool for exploring and communicating insights in various domains. To automate visualization choice for datasets, a task known as visualization reco…