Bio
I'm a Postdoctoral Research Scientist at the Scientific
Computing and Imaging Institute at the
University of Utah, working
with Christopher R. Johnson and
Ingo Wald. Currently, I am working on the project
OSPRay which is supported by the
Intel Parallel Computing Centers (IPCC).
Before joining the program at Utah, I work as a visiting scholar at
School of Geographical Sciences & Urban Planning,
Arizona State University. I obtained my Ph.D. in Cartographic and Geographic
Information System at the Institute of Remote Sensing
and Digital Earth, Chinese Academy of Sciences.
My research interests cover a range of areas in Scientific Visualization, GeoVisualization,
High Performance Computing and Spatiotemporal Data Visualization and Mining.
Publications
CPU Ray Tracing of Tree-Based Adaptive Mesh Refinement Data
Feng Wang, Nathan Marshak, Will Usher, Carsten Burstedde, Aaron Knoll, Timo Heister, and Chris R. Johnson. Computer Graphics Forum (Proceedings of EuroVis), 2020.Project Page PDF
Interactive Rendering of Large-Scale Volumes on Multi-Core CPUs
Feng Wang, Ingo Wald, Chris R. Johnson. IEEE Symposium on Large Data Analysis and Visualization, 2019.Project Page PDF Copy BibTeX Publisher's Version
Ray Tracing Generalized Tube Primitives: Method and Applications
Mengjiao Han, Ingo Wald, Will Usher, Qi Wu, Feng Wang, Valerio Pascucci, Charles D. Hansen, and Chris R. Johnson. Computer Graphics Forum (Proceedings of EuroVis), 2019.Project Page PDF Copy BibTeX Publisher's Version
CPU Isosurface Ray Tracing of Adaptive Mesh Refinement Data
Feng Wang, Ingo Wald, Qi Wu, Will Usher and Chris R. Johnson. IEEE Transactions on Visualization and Computer Graphics, 2018.Project Page PDF Copy BibTeX Publisher's Version
VisIt-OSPRay: Toward an Exascale Volume Visualization System
Qi Wu, Will Usher, Steve Petruzza, Sidharth Kumar, Feng Wang, Ingo Wald, Valerio Pascucci, and Charles D. Hansen. Eurographics Symposium on Parallel Graphics and Visualization, 2018.Project Page PDF Copy BibTeX Publisher's Version
Association Rules-Based Multivariate Analysis and Visualization of Spatiotemporal Climate Data
Feng Wang, Wenwen Li, Sizhe Wang and Chris R. Johnson. International Journal of Geo-Information, 2018.Project Page PDF Copy BibTeX Publisher's Version
Web-Scale Multidimensional Visualization of Big Spatial Data to Support Earth Sciences—A Case Study with Visualizing Climate Simulation Data
Sizhe Wang, Wenwen Li and Feng Wang. Informatics, 2017.Project Page PDF Copy BibTeX Publisher's Version
Polar Cyclone Identification from 4D Climate Data in a Knowledge-Driven Visualization System
Feng Wang, Wenwen Li and Sizhe Wang. climate, 2016.Project Page PDF Copy BibTeX Publisher's Version
A parallel algorithm for viewshed analysis in three-dimensional Digital Earth
Feng Wang, Gang Wang, Deji Pan, Yuan Liu, Liuzhong Yang and Hongbo Wang. Computers & Geosciences, 2015.Project Page PDF Copy BibTeX Publisher's Version