11 citations · 18 across the 5 of their papers we have counts for
5 papers
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…
Color-Name Aware Optimization to Enhance the Perception of Transparent Overlapped Charts
Kecheng Lu, Lihang Zhu, Yunhai Wang +3
Transparency is commonly utilized in visualizations to overlay color-coded histograms or sets, thereby facilitating the visual comparison of categorical data. However, these charts…
Color Maker: a Mixed-Initiative Approach to Creating Accessible Color Maps
Amey Salvi, Kecheng Lu, Michael E. Papka +2
Quantitative data is frequently represented using color, yet designing effective color mappings is a challenging task, requiring one to balance perceptual standards with personal c…
Interactive Context-Preserving Color Highlighting for Multiclass Scatterplots
Kecheng Lu, Khairi Reda, Oliver Deussen +1
Color is one of the main visual channels used for highlighting elements of interest in visualization. However, in multi-class scatterplots, color highlighting often comes at the ex…
Palettailor: Discriminable Colorization for Categorical Data
Kecheng Lu, Mi Feng, Xin Chen +5
We present an integrated approach for creating and assigning color palettes to different visualizations such as multi-class scatterplots, line, and bar charts. While other methods…