Zeyu Wang

Orcid: 0000-0002-7491-7570

Affiliations:
  • Shandong University, Qingdao, China
  • SIAT, Shenzhen VisuCA Key Lab, China


According to our database1, Zeyu Wang authored at least 18 papers between 2018 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2025
Causal Priors and Their Influence on Judgements of Causality in Visualized Data.
IEEE Trans. Vis. Comput. Graph., January, 2025

Beyond Correlation: Incorporating Counterfactual Guidance to Better Support Exploratory Visual Analysis.
IEEE Trans. Vis. Comput. Graph., January, 2025

Shape It Up: An Empirically Grounded Approach for Designing Shape Palettes.
IEEE Trans. Vis. Comput. Graph., January, 2025

A framework to improve causal inferences from visualizations using counterfactual operators.
Inf. Vis., 2025

2024
AVA: An automated and AI-driven intelligent visual analytics framework.
Vis. Informatics, 2024

An empirical study of counterfactual visualization to support visual causal inference.
Inf. Vis., 2024

Using Counterfactuals to Improve Causal Inferences From Visualizations.
IEEE Computer Graphics and Applications, 2024

Revisiting Categorical Color Perception in Scatterplots: Sequential, Diverging, and Categorical Palettes.
Proceedings of the 26th Eurographics Conference on Visualization, 2024

Do You See What I See? A Qualitative Study Eliciting High-Level Visualization Comprehension.
Proceedings of the CHI Conference on Human Factors in Computing Systems, 2024

Striking the Right Balance: Systematic Assessment of Evaluation Method Distribution Across Contribution Types.
Proceedings of the IEEE Evaluation and Beyond, 2024

Our Stories, Our Data: Co-designing Visualizations with People with Intellectual and Developmental Disabilities.
Proceedings of the 26th International ACM SIGACCESS Conference on Computers and Accessibility, 2024

2023
Measuring Categorical Perception in Color-Coded Scatterplots.
Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems, 2023

2022
Is There a Robust Technique for Selecting Aspect Ratios in Line Charts?
Dataset, May, 2022

2020
Improving the Robustness of Scagnostics.
IEEE Trans. Vis. Comput. Graph., 2020

2019
Image-Based Aspect Ratio Selection.
IEEE Trans. Vis. Comput. Graph., 2019

2018
Is There a Robust Technique for Selecting Aspect Ratios in Line Charts?
IEEE Trans. Vis. Comput. Graph., 2018

WalkToTopics: Inferring Topic Relations from a Feature Learning Perspective.
Proceedings of the Knowledge Science, Engineering and Management, 2018

You Are Where You App: An Assessment on Location Privacy of Social Applications.
Proceedings of the 29th IEEE International Symposium on Software Reliability Engineering, 2018


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