I'm a Ph.D. student in Computer Science at the University of North Carolina at Chapel Hill, advised by Prof. David Gotz and Prof. Danielle Albers Szafir.
Prior to that, I was a data visualization engineer at Ant Financial Group, working towards auto-BI systems and visualization & design grammars, e.g., AVA, G2, and Ant Design. I earned my M.Sc. and B.Eng. degrees from Shandong University, China.
Email: zeyuwang AT cs.unc.edu
Research
I'm mainly interested in exploring the cognitive and perceptual impact to motivate empirically grounded visualization system design, thus helping people infer insights from data. Prior research can be found here.
Revisiting Categorical Color Perception in Scatterplots: Sequential, Diverging, and Categorical Palettes
C. Tseng, A. Z. Wang, G. J. Quadri, and D. A. Szafir.
EG/VGTC Conference on Visualization (EuroVis), 2024. To appear.
Do You See What I See? A Qualitative Study Eliciting High-Level Visualization Comprehension
G. J. Quadri, A. Z. Wang, Z. Wang, J. Adorno, P. Rosen, and D. A. Szafir.
ACM Human Factors in Computing Systems (CHI), 2024. To appear.
An Empirical Study of Counterfactual Visualization to Support Visual Causal Inference
A. Z. Wang, D. Borland, and D. Gotz.
Information Visualization, 2024.
Using Counterfactuals to Improve Causal Inferences from Visualizations
D. Borland, A. Z. Wang, and D. Gotz.
IEEE Computer Graphics and Applications (CG&A), 2024.
Measuring Categorical Perception in Color-Coded Scatterplots
C. Tseng, G. J. Quadri, Z. Wang, and D. A. Szafir.
ACM Human Factors in Computing Systems (CHI), 2023.