13 citations · 15 across the 9 of their papers we have counts for
9 papers
iTrace : Interactive Tracing of Cross-View Data Relationships
Abdul Rahman Shaikh, Maoyuan Sun, Xingchen Liu +3
Exploring data relations across multiple views has been a common task in many domains such as bioinformatics, cybersecurity, and healthcare. To support this, various techniques (e.…
Boundary Blending: Reconsidering the Design of Multi-View Visualizations
Maoyuan Sun, Abdul Rahman Shaikh, Yue Ma +2
Multiple-view visualizations (MVs) have been widely used for visual analysis. Each view shows some part of the data in a usable way, and together multiple views enable a holistic u…
Trust Calibration as a Function of the Evolution of Uncertainty in Knowledge Generation: A Survey
Joshua Boley, Maoyuan Sun
User trust is a crucial consideration in designing robust visual analytics systems that can guide users to reasonably sound conclusions despite inevitable biases and other uncertai…
YouTube and Science: Models for Research Impact
Abdul Rahman Shaikh, Hamed Alhoori, Maoyuan Sun
Video communication has been rapidly increasing over the past decade, with YouTube providing a medium where users can post, discover, share, and react to videos. There has also bee…
Toward Systematic Design Considerations of Organizing Multiple Views
Abdul Rahman Shaikh, David Koop, Hamed Alhoori +1
Multiple-view visualization (MV) has been used for visual analytics in various fields (e.g., bioinformatics, cybersecurity, and intelligence analysis). Because each view encodes da…
SightBi: Exploring Cross-View Data Relationships with Biclusters
Maoyuan Sun, Abdul Rahman Shaikh, Hamed Alhoori +1
Multiple-view visualization (MV) has been heavily used in visual analysis tools for sensemaking of data in various domains (e.g., bioinformatics, cybersecurity and text analytics).…
Toward Systematic Considerations of Missingness in Visual Analytics
Maoyuan Sun, Yue Ma, Yuanxin Wang +4
Data-driven decision making has been a common task in today's big data era, from simple choices such as finding a fast way to drive home, to complex decisions on medical treatment.…
Interactive and Iterative Discovery of Entity Network Subgraphs
Hao Wu, Maoyuan Sun, Jilles Vreeken +3
Graph mining to extract interesting components has been studied in various guises, e.g., communities, dense subgraphs, cliques. However, most existing works are based on notions of…
Interactive Discovery of Coordinated Relationship Chains with Maximum Entropy Models
Hao Wu, Maoyuan Sun, Peng Mi +3
Modern visual analytic tools promote human-in-the-loop analysis but are limited in their ability to direct the user toward interesting and promising directions of study. This probl…