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 | 26 | 2019 |
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 | 17 | 2017 |
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 CHI Conference on Human Factors in Computing Systems, 1-26, 2024 | 12 | 2024 |
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 | 11 | 2023 |
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 | 10 | 2018 |
An empirical study of counterfactual visualization to support visual causal inference AZ Wang, D Borland, D Gotz Information Visualization 23 (2), 197-214, 2024 | 8 | 2024 |
Using counterfactuals to improve causal inferences from visualizations D Borland, AZ Wang, D Gotz IEEE Computer Graphics and Applications 44 (1), 95-104, 2024 | 8 | 2024 |
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 | 5 | 2018 |
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 | 4 | 2024 |
Countering simpson’s paradox with counterfactuals AZ Wang, D Borland, D Gotz Poster Proceedings of IEEE VIS, 1-2, 2023 | 3 | 2023 |
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 | 2 | 2024 |
A framework to improve causal inferences from visualizations using counterfactual operators AZ Wang, D Borland, D Gotz Information Visualization, 14738716241265120, 2024 | 2 | 2024 |
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 | 2 | 2024 |
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 | 1 | 2024 |
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 | 1 | 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 |
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, ... arXiv preprint arXiv:2408.16072, 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 arXiv preprint arXiv:2408.16080, 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 |