Arran Zeyu Wang

30 papers A* 3A 1Journal 24Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
Characterizing Visualization Perception with Psychological Phenomena: Uncovering the Role of Subitizing in Data Visualization.
IEEE Trans. Vis. Comput. Graph.
Arran Zeyu Wang, Ghulam Jilani Quadri, Mengyuan Zhu, Chin Tseng, Danielle Albers Szafir
2026 J jnl
Contextualization or Rationalization? The Effect of Causal Priors on Data Visualization Interpretation.
CoRR
Arran Zeyu Wang, David Borland, Estella Calcaterra, David Gotz
2026 J jnl
Graphical Perception of Icon Arrays versus Bar Charts for Value Comparisons in Health Risk Communication.
IEEE Trans. Vis. Comput. Graph.
Jade Kandel, Jiayi Liu, Arran Zeyu Wang, Chin Tseng, Danielle Albers Szafir
2026 A* conf
Programmers Who Use Screen Readers in the Vibe Coding Era: Adaptation, Empowerment, and New Accessibility Landscape.
CHI
Nan Chen, Luna K. Qiu, Arran Zeyu Wang, Zilong Wang, Yuqing Yang
2026 J jnl
Redundant is Not Redundant: Automating Efficient Categorical Palette Design Unifying Color & Shape Encodings with CatPAW.
CoRR
Chin Tseng, Arran Zeyu Wang, Ghulam Jilani Quadri, Danielle Albers Szafir
2026 A* conf
Redundant is Not Redundant: Automating Efficient Categorical Palettes Design Unifying Color & Shape Encodings with CatPAW.
CHI
Chin Tseng, Arran Zeyu Wang, Ghulam Jilani Quadri, Danielle Albers Szafir
2025 J jnl
A framework to improve causal inferences from visualizations using counterfactual operators.
Inf. Vis.
Arran Zeyu Wang, David Borland, David Gotz
2025 J jnl
Beyond Correlation: Incorporating Counterfactual Guidance to Better Support Exploratory Visual Analysis.
IEEE Trans. Vis. Comput. Graph.
Arran Zeyu Wang, David Borland, David Gotz
2025 J jnl
Causal Priors and Their Influence on Judgements of Causality in Visualized Data.
IEEE Trans. Vis. Comput. Graph.
Arran Zeyu Wang, David Borland, Tabitha C. Peck, Wenyuan Wang, David Gotz
2025 J jnl
Characterizing Visualization Perception with Psychological Phenomena: Uncovering the Role of Subitizing in Data Visualization.
CoRR
Arran Zeyu Wang, Ghulam Jilani Quadri, Mengyuan Zhu, Chin Tseng, Danielle Albers Szafir
2025 J jnl
Graphical Perception of Icon Arrays versus Bar Charts for Value Comparisons in Health Risk Communication.
CoRR
Jade Kandel, Jiayi Liu, Arran Zeyu Wang, Chin Tseng, Danielle Szafir
2025 J jnl
Screen Reader Users in the Vibe Coding Era: Adaptation, Empowerment, and New Accessibility Landscape.
CoRR
Nan Chen, Luna K. Qiu, Arran Zeyu Wang, Zilong Wang, Yuqing Yang
2025 J jnl
Shape It Up: An Empirically Grounded Approach for Designing Shape Palettes.
IEEE Trans. Vis. Comput. Graph.
Chin Tseng, Arran Zeyu Wang, Ghulam Jilani Quadri, Danielle Albers Szafir
2025 J jnl
Visual Analytics for Causal Reasoning from Real-World Health Data.
CoRR
Arran Zeyu Wang, David Borland, David Gotz
2024 J jnl
AVA: An automated and AI-driven intelligent visual analytics framework.
Vis. Informatics
Jiazhe Wang, Xi Li, Chenlu Li, Di Peng, Arran Zeyu Wang, Yuhui Gu, Xingui Lai, Haifeng Zhang, Xinyue Xu, Xiaoqing Dong, Zhifeng Lin, Jiehui Zhou, Xingyu Liu, Wei Chen
2024 J jnl
An Empirical Study of Counterfactual Visualization to Support Visual Causal Inference.
CoRR
Arran Zeyu Wang, David Borland, David Gotz
2024 J jnl
An empirical study of counterfactual visualization to support visual causal inference.
Inf. Vis.
Arran Zeyu Wang, David Borland, David Gotz
2024 J jnl
Beyond Correlation: Incorporating Counterfactual Guidance to Better Support Exploratory Visual Analysis.
CoRR
Arran Zeyu Wang, David Borland, David Gotz
2024 J jnl
Causal Priors and Their Influence on Judgements of Causality in Visualized Data.
CoRR
Arran Zeyu Wang, David Borland, Tabitha C. Peck, Wenyuan Wang, David Gotz
2024 A* conf
Do You See What I See? A Qualitative Study Eliciting High-Level Visualization Comprehension.
CHI
Ghulam Jilani Quadri, Arran Zeyu Wang, Zhehao Wang, Jennifer Adorno Nieves, Paul Rosen, Danielle Albers Szafir
2024 J jnl
Do You See What I See? A Qualitative Study Eliciting High-Level Visualization Comprehension.
CoRR
Ghulam Jilani Quadri, Arran Zeyu Wang, Zhehao Wang, Jennifer Adorno Nieves, Paul Rosen, Danielle Albers Szafir
2024 A conf
Our Stories, Our Data: Co-designing Visualizations with People with Intellectual and Developmental Disabilities.
ASSETS
Keke Wu, Ghulam Jilani Quadri, Arran Zeyu Wang, David Kwame Osei-Tutu, Emma Petersen, Varsha Koushik, Danielle Albers Szafir
2024 J jnl
Our Stories, Our Data: Co-designing Visualizations with People with Intellectual and Developmental Disabilities.
CoRR
Keke Wu, Ghulam Jilani Quadri, Arran Zeyu Wang, David Kwame Osei-Tutu, Emma Petersen, Varsha Koushik, Danielle Albers Szafir
2024 — conf
Revisiting Categorical Color Perception in Scatterplots: Sequential, Diverging, and Categorical Palettes.
EuroVis (Short Papers)
Chin Tseng, Arran Zeyu Wang, Ghulam Jilani Quadri, Danielle Albers Szafir
2024 J jnl
Revisiting Categorical Color Perception in Scatterplots: Sequential, Diverging, and Categorical Palettes.
CoRR
Chin Tseng, Arran Zeyu Wang, Ghulam Jilani Quadri, Danielle Albers Szafir
2024 J jnl
Shape It Up: An Empirically Grounded Approach for Designing Shape Palettes.
CoRR
Chin Tseng, Arran Zeyu Wang, Ghulam Jilani Quadri, Danielle Albers Szafir
2024 — conf
Striking the Right Balance: Systematic Assessment of Evaluation Method Distribution Across Contribution Types.
BELIV
Feng Lin, Arran Zeyu Wang, Md Dilshadur Rahman, Danielle Albers Szafir, Ghulam Jilani Quadri
2024 J jnl
Striking the Right Balance: Systematic Assessment of Evaluation Method Distribution Across Contribution Types.
CoRR
Feng Lin, Arran Zeyu Wang, Md Dilshadur Rahman, Danielle Albers Szafir, Ghulam Jilani Quadri
2024 J jnl
Using Counterfactuals to Improve Causal Inferences From Visualizations.
IEEE Computer Graphics and Applications
David Borland, Arran Zeyu Wang, David Gotz
2024 J jnl
Using Counterfactuals to Improve Causal Inferences from Visualizations.
CoRR
David Borland, Arran Zeyu Wang, David Gotz