Articles with public access mandates - Qi WuLearn more
Not available anywhere: 2
Interactive volume visualization via multi-resolution hash encoding based neural representation
Q Wu, D Bauer, MJ Doyle, KL Ma
IEEE Transactions on Visualization and Computer Graphics, 2023
Mandates: US Department of Energy
Distributed Volumetric Neural Representation for in situ Visualization and Analysis
Q Wu, JA Insley, VA Mateevitsi, S Rizzi, KL Ma
2022 IEEE 12th Symposium on Large Data Analysis and Visualization (LDAV), 1-2, 2022
Mandates: US Department of Energy
Available somewhere: 8
Thermodynamic versus kinetic control in self-assembly of zero-, one-, quasi-two-, and two-dimensional metal-organic coordination structures
T Lin, Q Wu, J Liu, Z Shi, PN Liu, N Lin
The Journal of chemical physics 142 (10), 2015
Mandates: Research Grants Council, Hong Kong
CPU isosurface ray tracing of adaptive mesh refinement data
F Wang, I Wald, Q Wu, W Usher, CR Johnson
IEEE transactions on visualization and computer graphics 25 (1), 1142-1151, 2018
Mandates: US National Science Foundation, US Department of Energy, US National …
Fovolnet: Fast volume rendering using foveated deep neural networks
D Bauer, Q Wu, KL Ma
IEEE transactions on visualization and computer graphics 29 (1), 515-525, 2022
Mandates: US Department of Energy, US National Institutes of Health
Ray tracing generalized tube primitives: Method and applications
M Han, I Wald, W Usher, Q Wu, F Wang, V Pascucci, CD Hansen, ...
Computer Graphics Forum 38 (3), 467-478, 2019
Mandates: US National Science Foundation, US Department of Energy, US National …
VisIt-OSPRay: Toward an Exascale Volume Visualization System.
Q Wu, W Usher, S Petruzza, S Kumar, F Wang, I Wald, V Pascucci, ...
EGPGV@ EuroVis, 13-23, 2018
Mandates: US National Science Foundation, US Department of Energy
DIVA: A Declarative and Reactive Language for in situ Visualization
Q Wu, T Neuroth, O Igouchkine, K Aditya, JH Chen, KL Ma
2020 IEEE 10th Symposium on Large Data Analysis and Visualization (LDAV), 1-11, 2020
Mandates: US Department of Energy
Memory‐Efficient GPU Volume Path Tracing of AMR Data Using the Dual Mesh
S Zellmann, Q Wu, KL Ma, I Wald
Computer Graphics Forum 42 (3), 51-62, 2023
Mandates: US National Aeronautics and Space Administration, German Research Foundation
A Flexible Data Streaming Design for Interactive Visualization of Large-Scale Volume Data.
Q Wu, MJ Doyle, KL Ma
EGPGV@ EuroVis, 37-47, 2022
Mandates: US Department of Energy
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