KWAN-LIU MA


PUBLICATIONS

(A more complete list can be seen at DBLP.)

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Decoding Complex Visualizations in Science Museums – An Empirical Study

Joyce Ma, Kwan-Liu Ma, Jennifer Frazier

IEEE Transactions on Visualization and Computer Graphics
(Accepted by InfoVis 2019)
Volume 26, Number 1, 2019

pdf bibtex

This study describes a detailed analysis of museum visitors’ decoding process as they used a visualization designed to support exploration of a large, complex dataset. Quantitative and qualitative analyses revealed that it took, on average, 43 seconds for visitors to decode enough of the visualization to see patterns and relationships in the underlying data represented, and 54 seconds to arrive at their first correct data interpretation ...

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P5: Portable Progressive Parallel Processing Pipelines for Interactive Data Analysis and Visualization

Jianping Kelvin Li and Kwan-Liu Ma

IEEE Transactions on Visualization and Computer Graphics
(Accepted by InfoVis 2019)
Volume 26, Number 1, 2019

pdf bibtex

We present P5, a web-based visualization toolkit that combines declarative visualization grammar and GPU computing for progressive data analysis and visualization. To interactively analyze and explore big data, progressive analytics and visualization methods have recently emerged. Progressive visualizations of incrementally refining results have the advantages of allowing users to steer the analysis process and make early decisions. P5 leverages declarative grammar for specifying visualization designs and exploits GPU computing to accelerate progressive data processing and rendering ...

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A Deep Generative Model for Graph Layout

Oh-Hyun Kwon and Kwan-Liu Ma

IEEE Transactions on Visualization and Computer Graphics
(Accepted by InfoVis 2019)
Volume 26, Number 1, 2019

pdf bibtex

Different layouts can characterize different aspects of the same graph. Finding a “good” layout of a graph is thus an important task for graph visualization. In practice, users often visualize a graph in multiple layouts by using different methods and varying parameter settings until they find a layout that best suits the purpose of the visualization. However, this trial-and-error process is often haphazard and time-consuming ...

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An Incremental Dimensionality Reduction Method for Visualizing Streaming Multidimensional Data

Takanori Fujiwara, Jia-Kai Chou, Shilpika, Panpan Xu, Liu Ren, Kwan-Liu Ma

IEEE Transactions on Visualization and Computer Graphics
(Accepted by InfoVis 2019)
Volume 26, Number 1, 2019

pdf bibtex

Dimensionality reduction (DR) methods are commonly used for analyzing and visualizing multidimensional data. However, when data is a live streaming feed, conventional DR methods cannot be directly used because of their computational complexity and inability to preserve the projected data positions at previous time points. In addition, the problem becomes even more challenging when the dynamic data records have a varying number of dimensions as often found in real-world applications ...

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Supporting Analysis of Dimensionality Reduction Results with Contrastive Learning

Takanori Fujiwara, Oh-Hyun Kwon, and Kwan-Liu Ma

IEEE Transactions on Visualization and Computer Graphics
(Accepted by VAST 2019)
Volume 26, Number 1, 2019

pdf bibtex

Dimensionality reduction (DR) is frequently used for analyzing and visualizing high-dimensional data as it provides a good first glance of the data. However, to interpret the DR result for gaining useful insights from the data, it would take additional analysis effort such as identifying clusters and understanding their characteristics. While there are many automatic methods (e.g., density-based clustering methods) to identify clusters, effective methods for understanding a cluster’s characteristics are still lacking ...

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An Interactive Visualization System for Large Sets of Phase Space Trajectories

Tyson Neuroth, Franz Sauer, Kwan-Liu Ma

Computer Graphics Forum
(also Proceedings of EuroVis 2019, to appear)
Volume 38, Number 3, June, 2019

pdf bibtex

We introduce a visual analysis system with GPU acceleration techniques for large sets of trajectories from complex dynamical systems. The approach is based on interactive Boolean combination of subsets into a Focus+Context phase-space visualization. We achieve high performance through efficient bitwise algorithms utilizing runtime generated GPU shaders and kernels. This
enables a higher level of interactivity for visualizing the large multivariate trajectory data ...

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TalkTraces: Real-Time Capture and Visualization of Verbal Content in Meetings

Senthil Chandrasegaran, Chris Bryan, Hidekazu Shidara, Tung-Yen Chuang, Kwan-Liu Ma

In Proceedings of CHI Conference on Human Factors in Computing Systems (CHI 2019)
ACM, May, 2019

pdf bibtex

Group Support Systems provide ways to review and edit
shared content during meetings, but typically require participants
to explicitly generate the content. Recent advances
in speech-to-text conversion and language processing now
make it possible to automatically record and review spoken
information. We present the iterative design and evaluation
of TalkTraces, a real-time visualization that helps teams identify
themes in their discussions and obtain a sense of agenda
items covered ...

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Collaborative Visual Analysis with Multi-Level Information Sharing Using a Wall-size Display and See-Through HMDs

Tianchen Sun, Yucong Chris Ye, Issei Fujishiro, Kwan-Liu Ma

In Proceedings of IEEE Pacific Visualization Symposium (PacificVis 2019)
(to appear)
April, 2019

pdf bibtex

Complex data analytical problems often demand a collaborative visual analysis. For synchronous co-located collaboration, a well-recognized challenge is to deliver different contents to people with different privileges and different responsibilities. This challenge is becoming more obvious with the use of a shared display space such as a wall-size display. In particular, scenarios often arise that a privileged participant needs to access sensitive information that other participants are not permitted to. ...

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Interactive Spatiotemporal Visualization of Phase Space Particle Trajectories using Distance Plots

Tyson Neuroth, Franz Sauer, Kwan-Liu Ma

In Proceedings of IEEE Pacific Visualization Symposium (PacificVis 2019 VisNotes)
April, 2019

pdf bibtex

The distance plot (often called the unthresholded recurrence plot) has been shown to be useful tool for analyzing spatiotemporal patterns in high-dimensional phase space trajectories. We extend this technique to support a more interactive and multifaceted visualization that is linked with multiple 2D-Phase plots. We demonstrate our resulting visualization design using weighted marker particles from a particle-in-cell (PIC) Tokamak simulation. ...

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A Declarative Grammar of Flexible Volume Visualization Pipelines

Min Shih, Charles Rozhon, Kwan-Liu Ma

IEEE Transactions on Visualization and Computer Graphics
(also IEEE SciVis 2018)
Volume 25, Number 1, January, 2019, pp. 1050-1059

pdf bibtex

This paper presents a declarative grammar for conveniently and effectively specifying advanced volume visualizations. Existing methods for creating volume visualizations either lack the flexibility to specify sophisticated visualizations or are difficult to use for those unfamiliar with volume rendering implementation and parameterization. Our design provides the ability to quickly create expressive visualizations without knowledge of the volume rendering implementation. It attempts to capture aspects of those difficult but powerful methods while remaining flexible and easy to use ...

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GraphProtector: A Visual Interface for Employing and Assessing Multiple Privacy Preserving Graph Algorithms

Xu-Meng Wang, Wei Chen, Jia-Kai Chou, Chris Bryan, Huihua Guan, Wenlong Chen, Rusheng Pan, Kwan-Liu Ma

IEEE Transactions on Visualization and Computer Graphics
(also IEEE VAST 2018)
Volume 25, Number 1, January, 2019, pp. 193-203

pdf bibtex

Analyzing social networks reveals the relationships between individuals and groups in the data. However, such analysis can also lead to privacy exposure (whether intentionally or inadvertently): leaking the real-world identity of ostensibly anonymous individuals. Most sanitization strategies modify the graph's structure based on hypothesized tactics that an adversary would employ. While combining multiple anonymization schemes provides a more comprehensive privacy protection, deciding the appropriate set of techniques-along with evaluating how applying the strategies will affect the utility of the anonymized results-remains a significant challenge ...

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P4: Portable Parallel Processing Pipelines for Interactive Information Visualization

Jianping Kelvin Li and Kwan-Liu Ma

IEEE Transactions on Visualization and Computer Graphics
Preprint (accepted in 2018)
2019

pdf bibtex

We present P4, an information visualization toolkit that combines declarative design specification and GPU computing for building high-performance interactive systems. Most of the existing information visualization toolkits do not harness the power of parallel processors in today's mainstream computers. P4 leverages GPU computing to accelerate both data processing and visualization rendering for interactive visualization applications. P4's programming interface offers a declarative visualization grammar for rapid specifications of data transformations, visual encodings, and interactions ...

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Deep Neural Representation Guided Face Sketch Synthesis

Bin Sheng, Ping Li, Chenhao Gao, Kwan-Liu Ma

IEEE Transactions on Visualization and Computer Graphics
Preprint (accepted in August 2018)
2019

pdf bibtex

Face sketch synthesis shows great applications in a lot of fields such as online entertainment and suspects identification. Existing face sketch synthesis methods learn the patch-wise sketch style from the training dataset containing photo-sketch pairs. These methods manipulate the whole process directly in the field of RGB space, which unavoidably results in unsmooth noises at patch boundaries. If denoising methods are used, the sketch edges would be blurred and face structures could not be restored ...