101 citations · 282 across the 22 of their papers we have counts for
22 papers
Compressing and Interpreting Word Embeddings with Latent Space Regularization and Interactive Semantics Probing
Haoyu Li, Junpeng Wang, Yan Zheng +3
Word embedding, a high-dimensional (HD) numerical representation of words generated by machine learning models, has been used for different natural language processing tasks, e.g.,…
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…
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…
Not As Easy As You Think -- Experiences and Lessons Learnt from Trying to Create a Bottom-Up Visualization Image Typology
Jian Chen, Petra Isenberg, Robert S. Laramee +4
We present and discuss the results of a two-year qualitative analysis of images published in IEEE Visualization (VIS) papers. Specifically, we derive a typology of 13 visualization…
IDLat: An Importance-Driven Latent Generation Method for Scientific Data
Jingyi Shen, Haoyu Li, Jiayi Xu +2
Deep learning based latent representations have been widely used for numerous scientific visualization applications such as isosurface similarity analysis, volume rendering, flow f…
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…
GNN-Surrogate: A Hierarchical and Adaptive Graph Neural Network for Parameter Space Exploration of Unstructured-Mesh Ocean Simulations
Neng Shi, Jiayi Xu, Skylar W. Wurster +4
We propose GNN-Surrogate, a graph neural network-based surrogate model to explore the parameter space of ocean climate simulations. Parameter space exploration is important for dom…
SQRQuerier: A Visual Querying Framework for Cross-national Survey Data Recycling
Yamei Tu, Olga Li, Junpeng Wang +6
Public opinion surveys constitute a powerful tool to study peoples' attitudes and behaviors in comparative perspectives. However, even worldwide surveys provide only partial geogra…
Deep Hierarchical Super Resolution for Scientific Data
Skylar W. Wurster, Hanqi Guo, Han-Wei Shen +2
We present a novel technique for hierarchical super resolution (SR) with neural networks (NNs), which upscales volumetric data represented with an octree data structure to a high-r…
DeepGD: A Deep Learning Framework for Graph Drawing Using GNN
Xiaoqi Wang, Kevin Yen, Yifan Hu +1
In the past decades, many graph drawing techniques have been proposed for generating aesthetically pleasing graph layouts. However, it remains a challenging task since different la…
Document Domain Randomization for Deep Learning Document Layout Extraction
Meng Ling, Jian Chen, Torsten Möller +7
We present document domain randomization (DDR), the first successful transfer of convolutional neural networks (CNNs) trained only on graphically rendered pseudo-paper pages to rea…
Local Latent Representation based on Geometric Convolution for Particle Data Feature Exploration
Haoyu Li, Han-Wei Shen
Feature related particle data analysis plays an important role in many scientific applications such as fluid simulations, cosmology simulations and molecular dynamics. Compared to…
VIS30K: A Collection of Figures and Tables from IEEE Visualization Conference Publications
Jian Chen, Meng Ling, Rui Li +8
We present the VIS30K dataset, a collection of 29,689 images that represents 30 years of figures and tables from each track of the IEEE Visualization conference series (Vis, SciVis…
FTK: A Simplicial Spacetime Meshing Framework for Robust and Scalable Feature Tracking
Hanqi Guo, David Lenz, Jiayi Xu +7
We present the Feature Tracking Kit (FTK), a framework that simplifies, scales, and delivers various feature-tracking algorithms for scientific data. The key of FTK is our high-dim…
CNNPruner: Pruning Convolutional Neural Networks with Visual Analytics
Guan Li, Junpeng Wang, Han-Wei Shen +3
Convolutional neural networks (CNNs) have demonstrated extraordinarily good performance in many computer vision tasks. The increasing size of CNN models, however, prevents them fro…
An Information-theoretic Visual Analysis Framework for Convolutional Neural Networks
Jingyi Shen, Han-Wei Shen
Despite the great success of Convolutional Neural Networks (CNNs) in Computer Vision and Natural Language Processing, the working mechanism behind CNNs is still under extensive dis…
Asynchronous and Load-Balanced Union-Find for Distributed and Parallel Scientific Data Visualization and Analysis
Jiayi Xu, Hanqi Guo, Han-Wei Shen +5
We present a novel distributed union-find algorithm that features asynchronous parallelism and k-d tree based load balancing for scalable visualization and analysis of scientific d…
Microparticle cloud imaging and tracking for data-driven plasma science
Zhehui Wang, Jiayi Xu, Yao E. Kovach +5
Large data sets give rise to the `fourth paradigm' of scientific discovery and technology development, extending other approaches based on human intuition, fundamental laws of phys…
Geometry-Driven Detection, Tracking and Visual Analysis of Viscous and Gravitational Fingers
Jiayi Xu, Soumya Dutta, Wenbin He +2
Viscous and gravitational flow instabilities cause a displacement front to break up into finger-like fluids. The detection and evolutionary analysis of these fingering instabilitie…
InSituNet: Deep Image Synthesis for Parameter Space Exploration of Ensemble Simulations
Wenbin He, Junpeng Wang, Hanqi Guo +5
We propose InSituNet, a deep learning based surrogate model to support parameter space exploration for ensemble simulations that are visualized in situ. In situ visualization, gene…
NNVA: Neural Network Assisted Visual Analysis of Yeast Cell Polarization Simulation
Subhashis Hazarika, Haoyu Li, Ko-Chih Wang +2
Complex computational models are often designed to simulate real-world physical phenomena in many scientific disciplines. However, these simulation models tend to be computationall…