You Are Where You App: An Assessment on Location Privacy of Social Applications. - Fanghua Zhao; Linan Gao; Yang Zhang 016; Zeyu Wang 005; Bo Wang; Shanqing Guo (ISSRE, 2018)

WalkToTopics: Inferring Topic Relations from a Feature Learning Perspective. - Linan Gao; Zeyu Wang 005; Shanqing Guo (KSEM (1), 2018)

Is There a Robust Technique for Selecting Aspect Ratios in Line Charts? - Yunhai Wang; Zeyu Wang 005; Lifeng Zhu; Jian Zhang 070; Chi-Wing Fu; Zhanglin Cheng; Changhe Tu; Baoquan Chen (IEEE Trans. Vis. Comput. Graph., 2018)

Image-Based Aspect Ratio Selection. - Yunhai Wang; Zeyu Wang 005; Chi-Wing Fu; Hansjörg Schmauder; Oliver Deussen; Daniel Weiskopf (IEEE Trans. Vis. Comput. Graph., 2019)

Improving the Robustness of Scagnostics. - Yunhai Wang; Zeyu Wang 005; Tingting Liu; Michael Correll; Zhanglin Cheng; Oliver Deussen; Michael Sedlmair (IEEE Trans. Vis. Comput. Graph., 2020)

Is There a Robust Technique for Selecting Aspect Ratios in Line Charts? - Yunhai Wang; Zeyu Wang 005; Lifeng Zhu; Jian Zhang 070; Chi-Wing Fu; Zhanglin Cheng; Changhe Tu; Baoquan Chen (IEEE DataPort, 2022)

Measuring Categorical Perception in Color-Coded Scatterplots. - Chin Tseng; Ghulam Jilani Quadri; Zeyu Wang 005; Danielle Albers Szafir (CHI, 2023)

Our Stories, Our Data: Co-designing Visualizations with People with Intellectual and Developmental Disabilities. - Keke Wu; Ghulam Jilani Quadri; Arran Zeyu Wang; David Kwame Osei-Tutu; Emma Petersen; Varsha Koushik; Danielle Albers Szafir (ASSETS, 2024)

Striking the Right Balance: Systematic Assessment of Evaluation Method Distribution Across Contribution Types. - Feng Lin; Arran Zeyu Wang; Md Dilshadur Rahman; Danielle Albers Szafir; Ghulam Jilani Quadri (BELIV, 2024)

Do You See What I See? A Qualitative Study Eliciting High-Level Visualization Comprehension. - Ghulam Jilani Quadri; Arran Zeyu Wang; Zhehao Wang; Jennifer Adorno Nieves; Paul Rosen 001; Danielle Albers Szafir (CHI, 2024)

Revisiting Categorical Color Perception in Scatterplots: Sequential, Diverging, and Categorical Palettes. - Chin Tseng; Arran Zeyu Wang; Ghulam Jilani Quadri; Danielle Albers Szafir (EuroVis (Short Papers), 2024)

Using Counterfactuals to Improve Causal Inferences From Visualizations. - David Borland; Arran Zeyu Wang; David Gotz (IEEE Computer Graphics and Applications, 2024)

An empirical study of counterfactual visualization to support visual causal inference. - Arran Zeyu Wang; David Borland; David Gotz (Inf. Vis., 2024)

AVA: An automated and AI-driven intelligent visual analytics framework. - 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; et al. (Vis. Informatics, 2024)

A framework to improve causal inferences from visualizations using counterfactual operators. - Arran Zeyu Wang; David Borland; David Gotz (Inf. Vis., 2025)

Shape It Up: An Empirically Grounded Approach for Designing Shape Palettes. - Chin Tseng; Arran Zeyu Wang; Ghulam Jilani Quadri; Danielle Albers Szafir (IEEE Trans. Vis. Comput. Graph., 2025)

Beyond Correlation: Incorporating Counterfactual Guidance to Better Support Exploratory Visual Analysis. - Arran Zeyu Wang; David Borland; David Gotz (IEEE Trans. Vis. Comput. Graph., 2025)

Causal Priors and Their Influence on Judgements of Causality in Visualized Data. - Arran Zeyu Wang; David Borland; Tabitha C. Peck; Wenyuan Wang; David Gotz (IEEE Trans. Vis. Comput. Graph., 2025)

Screen Reader Users in the Vibe Coding Era: Adaptation, Empowerment, and New Accessibility Landscape. - Nan Chen; Luna K. Qiu; Arran Zeyu Wang; Zilong Wang 006; Yuqing Yang 001 (CoRR, 2025)