2 citations · 4 across the 6 of their papers we have counts for
6 papers
PSRFlow: Probabilistic Super Resolution with Flow-Based Models for Scientific Data
Jingyi Shen, Han-Wei Shen
Although many deep-learning-based super-resolution approaches have been proposed in recent years, because no ground truth is available in the inference stage, few can quantify the…
Neural Stream Functions
Skylar Wolfgang Wurster, Hanqi Guo, Tom Peterka +1
We present a neural network approach to compute stream functions, which are scalar functions with gradients orthogonal to a given vector field. As a result, isosurfaces of the stre…
SKG: A Versatile Information Retrieval and Analysis Framework for Academic Papers with Semantic Knowledge Graphs
Yamei Tu, Rui Qiu, Han-Wei Shen
The number of published research papers has experienced exponential growth in recent years, which makes it crucial to develop new methods for efficient and versatile information ex…
VMap: An Interactive Rectangular Space-filling Visualization for Map-like Vertex-centric Graph Exploration
Jiayi Xu, Han-Wei Shen
We present VMap, a map-like rectangular space-filling visualization, to perform vertex-centric graph exploration. Existing visualizations have limited support for quality optimizat…
VDL-Surrogate: A View-Dependent Latent-based Model for Parameter Space Exploration of Ensemble Simulations
Neng Shi, Jiayi Xu, Haoyu Li +3
We propose VDL-Surrogate, a view-dependent neural-network-latent-based surrogate model for parameter space exploration of ensemble simulations that allows high-resolution visualiza…
Efficient Interpolation-based Pathline Tracing with B-spline Curves in Particle Dataset
Haoyu Li, Tianyu Xiong, Han-Wei Shen
Particle tracing through numerical integration is a well-known approach to generating pathlines for visualization. However, for particle simulations, the computation of pathlines i…