activity
20192026
most citedEvaluating Perceptual Bias During Geometric Scaling of Scatterplots

37 citations · 58 across the 6 of their papers we have counts for

collaborators

6 papers

cs.HC2026

DiffLens: A Visualization System to Explore Local Differences in Graph Sampling

Zhiguang Zhou, Yong Zhang, Yuming Ma +8

Graph sampling techniques have been widely used to simplify network computation and visualization, which also results in inevitable differences between the sampled networks and the…

eess.SP2022

ASTF: Visual Abstractions of Time-Varying Patterns in Radio Signals

Ying Zhao, Luhao Ge, Huixuan Xie +6

A time-frequency diagram is a commonly used visualization for observing the time-frequency distribution of radio signals and analyzing their time-varying patterns of communication…

cs.HC2021

Evaluating Effects of Background Stories on Graph Perception

Ying Zhao, Jingcheng Shi, Jiawei Liu +7

A graph is an abstract model that represents relations among entities, for example, the interactions between characters in a novel. A background story endows entities and relations…

cs.SI2020

Preserving Minority Structures in Graph Sampling

Ying Zhao, Haojin Jiang, Qi'an Chen +6

Sampling is a widely used graph reduction technique to accelerate graph computations and simplify graph visualizations. By comprehensively analyzing the literature on graph samplin…

cs.DB2019★ 21 cited

RSATree: Distribution-Aware Data Representation of Large-Scale Tabular Datasets for Flexible Visual Query

Honghui Mei, Wei Chen, Yating Wei +5

Analysts commonly investigate the data distributions derived from statistical aggregations of data that are represented by charts, such as histograms and binned scatterplots, to vi…

cs.HC2019★ 37 cited

Evaluating Perceptual Bias During Geometric Scaling of Scatterplots

Yating Wei, Honghui Mei, Ying Zhao +4

Scatterplots are frequently scaled to fit display areas in multi-view and multi-device data analysis environments. A common method used for scaling is to enlarge or shrink the enti…