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Arran Zeyu Wang
Arran Zeyu Wang
Andre navnZeyu Wang
University of North Carolina Chapel Hill
Verifisert e-postadresse på antgroup.com - Startside
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År
Improving the robustness of scagnostics
Y Wang, Z Wang, T Liu, M Correll, Z Cheng, O Deussen, M Sedlmair
IEEE Transactions on Visualization and Computer Graphics 26 (1), 759-769, 2019
262019
Do you see what i see? a qualitative study eliciting high-level visualization comprehension
GJ Quadri, AZ Wang, Z Wang, J Adorno, P Rosen, DA Szafir
Proceedings of the 2024 CHI Conference on Human Factors in Computing Systems …, 2024
212024
Is there a robust technique for selecting aspect ratios in line charts?
Y Wang, Z Wang, L Zhu, J Zhang, CW Fu, Z Cheng, C Tu, B Chen
IEEE Transactions on Visualization and Computer Graphics 24 (12), 3096-3110, 2017
172017
Measuring Categorical Perception in Color-Coded Scatterplots
C Tseng, GJ Quadri, AZ Wang, DA Szafir
Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems, 2023
132023
An empirical study of counterfactual visualization to support visual causal inference
AZ Wang, D Borland, D Gotz
Information Visualization 23 (2), 197-214, 2024
112024
You are where you app: An assessment on location privacy of social applications
F Zhao, L Gao, Y Zhang, Z Wang, B Wang, S Guo
2018 IEEE 29th International Symposium on Software Reliability Engineering …, 2018
102018
Using counterfactuals to improve causal inferences from visualizations
D Borland, AZ Wang, D Gotz
IEEE Computer Graphics and Applications 44 (1), 95-104, 2024
92024
AVA: An automated and ai-driven intelligent visual analytics framework
J Wang, X Li, C Li, D Peng, AZ Wang, Y Gu, X Lai, H Zhang, X Xu, X Dong, ...
Visual Informatics 8 (2), 106-114, 2024
62024
Revisiting categorical color perception in scatterplots: Sequential, diverging, and categorical palettes
C Tseng, AZ Wang, GJ Quadri, DA Szafir
arXiv preprint arXiv:2404.03787, 2024
52024
Image-based aspect ratio selection
Y Wang, Z Wang, CW Fu, H Schmauder, O Deussen, D Weiskopf
IEEE Transactions on Visualization and Computer Graphics 25 (1), 840-849, 2018
52018
A framework to improve causal inferences from visualizations using counterfactual operators
AZ Wang, D Borland, D Gotz
Information Visualization 24 (1), 24-41, 2025
32025
Causal priors and their influence on judgements of causality in visualized data
AZ Wang, D Borland, TC Peck, W Wang, D Gotz
IEEE Transactions on Visualization and Computer Graphics, 2024
32024
Countering simpson’s paradox with counterfactuals
AZ Wang, D Borland, D Gotz
Poster Proceedings of IEEE VIS, 1-2, 2023
32023
Causalsynth: An interactive web application for synthetic dataset generation and visualization with user-defined causal relationships
Z Wang, AZ Wang, D Borland, D Gotz
IEEE VIS Posters 6, 2024
22024
Beyond Correlation: Incorporating Counterfactual Guidance to Better Support Exploratory Visual Analysis
AZ Wang, D Borland, D Gotz
IEEE Transactions on Visualization and Computer Graphics, 2024
12024
Our Stories, Our Data: Co-designing Visualizations with People with Intellectual and Developmental Disabilities
K Wu, GJ Quadri, AZ Wang, DK Osei-Tutu, E Petersen, V Koushik, ...
Proceedings of the 26th International ACM SIGACCESS Conference on Computers …, 2024
2024
Striking the Right Balance: Systematic Assessment of Evaluation Method Distribution Across Contribution Types
F Lin, AZ Wang, MD Rahman, DA Szafir, GJ Quadri
2024 IEEE Evaluation and Beyond-Methodological Approaches for Visualization …, 2024
2024
Shape It Up: An Empirically Grounded Approach for Designing Shape Palettes
C Tseng, AZ Wang, GJ Quadri, DA Szafir
IEEE Transactions on Visualization and Computer Graphics, 2024
2024
Leveraging LLMs to Infer Causality from Visualized Data: Alignments and Deviations from Human Judgments
AZ Wang, D Borland, D Gotz
IEEE VIS Posters, 2024
2024
Assessing the Impact of VR Interfaces in Human-Drone Interaction
M Gramopadhye, AZ Wang, L Shearer, T Qin, D Szafir
2023
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Artikler 1–20