40 citations · 494 across the 38 of their papers we have counts for
13 papers · 1 filter
VAID: Indexing View Designs in Visual Analytics System
Lu Ying, Aoyu Wu, Haotian Li +7
Visual analytics (VA) systems have been widely used in various application domains. However, VA systems are complex in design, which imposes a serious problem: although the academi…
DashBot: Insight-Driven Dashboard Generation Based on Deep Reinforcement Learning
Dazhen Deng, Aoyu Wu, Huamin Qu +1
Analytical dashboards are popular in business intelligence to facilitate insight discovery with multiple charts. However, creating an effective dashboard is highly demanding, which…
DMiner: Dashboard Design Mining and Recommendation
Yanna Lin, Haotian Li, Aoyu Wu +2
Dashboards, which comprise multiple views on a single display, help analyze and communicate multiple perspectives of data simultaneously. However, creating effective and elegant da…
DPVisCreator: Incorporating Pattern Constraints to Privacy-preserving Visualizations via Differential Privacy
Jiehui Zhou, Xumeng Wang, Jason K. Wong +8
Data privacy is an essential issue in publishing data visualizations. However, it is challenging to represent multiple data patterns in privacy-preserving visualizations. The prior…
Exploring Interactions with Printed Data Visualizations in Augmented Reality
Wai Tong, Zhutian Chen, Meng Xia +4
This paper presents a design space of interaction techniques to engage with visualizations that are printed on paper and augmented through Augmented Reality. Paper sheets are widel…
ShortcutLens: A Visual Analytics Approach for Exploring Shortcuts in Natural Language Understanding Dataset
Zhihua Jin, Xingbo Wang, Furui Cheng +3
Benchmark datasets play an important role in evaluating Natural Language Understanding (NLU) models. However, shortcuts -- unwanted biases in the benchmark datasets -- can damage t…
GestureLens: Visual Analysis of Gestures in Presentation Videos
Haipeng Zeng, Xingbo Wang, Yong Wang +3
Appropriate gestures can enhance message delivery and audience engagement in both daily communication and public presentations. In this paper, we contribute a visual analytic appro…
Misinformed by Visualization: What Do We Learn From Misinformative Visualizations?
Leo Yu-Ho Lo, Ayush Gupta, Kento Shigyo +3
Data visualization is powerful in persuading an audience. However, when it is done poorly or maliciously, a visualization may become misleading or even deceiving. Visualizations gi…
ComputableViz: Mathematical Operators as a Formalism for Visualization Processing and Analysis
Aoyu Wu, Wai Tong, Haotian Li +3
Data visualizations are created and shared on the web at an unprecedented speed, raising new needs and questions for processing and analyzing visualizations after they have been ge…
Structure-aware Visualization Retrieval
Haotian Li, Yong Wang, Aoyu Wu +2
With the wide usage of data visualizations, a huge number of Scalable Vector Graphic (SVG)-based visualizations have been created and shared online. Accordingly, there has been an…
From `Wow' to `Why': Guidelines for Creating the Opening of a Data Video with Cinematic Styles
Xian Xu, Leni Yang, David Yip +3
Data videos are an increasingly popular storytelling form. The opening of a data video critically influences its success as the opening either attracts the audience to continue wat…
In Defence of Visual Analytics Systems: Replies to Critics
Aoyu Wu, Dazhen Deng, Furui Cheng +3
The last decade has witnessed many visual analytics (VA) systems that make successful applications to wide-ranging domains like urban analytics and explainable AI. However, their r…
Beyond Interestingness: Semantic and Context-Aware Natural Language Query Recommendations for Visual Data Analysis
Xingbo Wang, Siyuan Li, Furui Cheng +5
Recent advances in large language models (LLMs) have made natural language interfaces (NLIs) widely accessible for data exploration, yet analysts who have a broad analytical object…