5 citations · 7 across the 4 of their papers we have counts for
4 papers
PixelatedScatter: Arbitrary-level Visual Abstraction for Large-scale Multiclass Scatterplots
Ziheng Guo, Tianxiang Wei, Zeyu Li +3
Overdraw is inevitable in large-scale scatterplots. Current scatterplot abstraction methods lose features in medium-to-low density regions. We propose a visual abstraction method d…
SemanticAxis: Exploring Multi-attribute Data by Semantics Construction and Ranking Analysis
Zeyu Li, Changhong Zhang, Yi Zhang +1
Mining the distribution of features and sorting items by combined attributes are two common tasks in exploring and understanding multi-attribute (or multivariate) data. Up to now,…
Dual Space Coupling Model Guided Overlap-Free Scatterplot
Zeyu Li, Ruizhi Shi, Yan Liu +4
The overdraw problem of scatterplots seriously interferes with the visual tasks. Existing methods, such as data sampling, node dispersion, subspace mapping, and visual abstraction,…
Towards Visual Explainable Active Learning for Zero-Shot Classification
Shichao Jia, Zeyu Li, Nuo Chen +1
Zero-shot classification is a promising paradigm to solve an applicable problem when the training classes and test classes are disjoint. Achieving this usually needs experts to ext…