His scientific interests lie mostly in Visualization, Data visualization, Artificial intelligence, Rendering and Volume rendering. His Visualization research is under the purview of Data mining. The various areas that he examines in his Data visualization study include Visual analytics, User interface, Interactive visualization, Computer graphics and Information visualization.
Kwan-Liu Ma has researched Artificial intelligence in several fields, including Machine learning and Computer vision. His Rendering study incorporates themes from Software rendering, Texture memory and Pattern recognition. His Volume rendering study combines topics in areas such as Image processing, Algorithm, Massively parallel and Graphics.
His primary areas of investigation include Visualization, Data visualization, Artificial intelligence, Rendering and Computer graphics. His work in Visualization tackles topics such as Human–computer interaction which are related to areas like User interface. His Data visualization study integrates concerns from other disciplines, such as Data modeling, Scientific visualization, Computer graphics, Scalability and Data science.
His study in Artificial intelligence is interdisciplinary in nature, drawing from both Machine learning and Computer vision. His research integrates issues of Tiled rendering and Texture memory in his study of Rendering. He interconnects Computational science and Graphics in the investigation of issues within Volume rendering.
Visualization, Data visualization, Visual analytics, Data mining and Human–computer interaction are his primary areas of study. His research in Visualization intersects with topics in Information retrieval and Data science. While the research belongs to areas of Data visualization, Kwan-Liu Ma spends his time largely on the problem of Scalability, intersecting his research to questions surrounding Network topology and Distributed computing.
His research on Visual analytics concerns the broader Artificial intelligence. Kwan-Liu Ma usually deals with Artificial intelligence and limits it to topics linked to Computer vision and Computer graphics. He focuses mostly in the field of Information visualization, narrowing it down to topics relating to Rendering and, in certain cases, General-purpose computing on graphics processing units and Computational science.
Kwan-Liu Ma spends much of his time researching Visualization, Data visualization, Data mining, Visual analytics and Information visualization. He studies Visualization, namely Interactive visualization. His Data visualization research includes themes of Graph, Graph drawing, Information retrieval, Task analysis and Information sensitivity.
He combines subjects such as Data modeling, Workflow and Curse of dimensionality with his study of Data mining. His Visual analytics research incorporates elements of Supercomputer, Distributed computing, Data management, Dimensionality reduction and Principal component analysis. The concepts of his Information visualization study are interwoven with issues in Rendering, Domain knowledge, Analytics, Data science and Big data.
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Terascale direct numerical simulations of turbulent combustion using S3D
J. H. Chen;A. Choudhary;B. De Supinski;M. Devries.
Computational Science & Discovery (2009)
Parallel volume rendering using binary-swap compositing
Kwan-Liu Ma;J.S. Painter;C.D. Hansen;M.F. Krogh.
IEEE Computer Graphics and Applications (1994)
Data, Information, and Knowledge in Visualization
Min Chen;D. Ebert;H. Hagen;R.S. Laramee.
IEEE Computer Graphics and Applications (2009)
A fast volume rendering algorithm for time-varying fields using a time-space partitioning (TSP) tree
Han-Wei Shen;Ling-Jen Chiang;Kwan-Liu Ma.
ieee visualization (1999)
PortVis: a tool for port-based detection of security events
Jonathan McPherson;Kwan-Liu Ma;Paul Krystosk;Tony Bartoletti.
visualization for computer security (2004)
In Situ Visualization for Large-Scale Combustion Simulations
Hongfeng Yu;Chaoli Wang;Ray W Grout;Jacqueline H Chen.
IEEE Computer Graphics and Applications (2010)
Visual Analysis of Large Heterogeneous Social Networks by Semantic and Structural Abstraction
Z. Shen;K.-L. Ma;T. Eliassi-Rad.
IEEE Transactions on Visualization and Computer Graphics (2006)
Collaborative visualization: definition, challenges, and research agenda
Petra Isenberg;Niklas Elmqvist;Jean Scholtz;Daniel Cernea.
Information Visualization (2011)
Size-based Transfer Functions: A New Volume Exploration Technique
C. Correa;Kwan-Liu Ma.
IEEE Transactions on Visualization and Computer Graphics (2008)
From mesh generation to scientific visualization: an end-to-end approach to parallel supercomputing
Tiankai Tu;Hongfeng Yu;Leonardo Ramirez-Guzman;Jacobo Bielak.
conference on high performance computing (supercomputing) (2006)
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