20 Papers
47 Citations
Jun Ma is an academic researcher from Michigan Technological University. The author has contributed to research in topics: Visualization & Cryptography. The author has an hindex of 10, co-authored 20 publications. Previous affiliations of Jun Ma include Qualcomm & Peking University.
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Papers
A Unified Approach to Streamline Selection and Viewpoint Selection for 3D Flow Visualization
TL;DR: The robustness of the approach is demonstrated by showing experimental results with different flow data sets, and rigorous comparisons between the algorithm and other seed placement or streamline selection algorithms based on information theory are conducted.
88
•Journal Article
DESvisual: a visualization tool for the DES cipher
TL;DR: The tool depicts the primitive operations required to perform the initial permutation and one Feistel round of DES using either an eight or 16 bit input, which helps students understand and instructors teach the building blocks of symmetric encryption.
24
Similarity-based visualization of large image collections
TL;DR: iMap, a treemap-based representation for visualizing and navigating image search and clustering results, and an embedded visualization that integrates image tags for in-place search refinement are developed.
23
FlowGraph: A compound hierarchical graph for flow field exploration
Jun Ma,Chaoli Wang,Ching-Kuang Shene +2 more
- 12 Sep 2013
TL;DR: The FlowGraph is introduced, a novel compound graph representation that organizes streamline clusters and spatial regions hierarchically for occlusion-free and controllable visual exploration and serves as a navigation tool that guides flow field exploration and understanding.
21
A Graph-Based Interface for VisualAnalytics of 3D Streamlines and Pathlines
TL;DR: FlowGraph is introduced, a novel compound graph representation that organizes field line clusters and spatiotemporal regions hierarchically for occlusion-free and controllable visual exploration and serves as a navigation tool that guides flow field exploration and understanding.