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08/08/2023
PSRFlow: Probabilistic Super Resolution with Flow-Based Models for Scientific Data
Although many deep-learning-based super-resolution approaches have been ...
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07/16/2023
Neural Stream Functions
We present a neural network approach to compute stream functions, which ...
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07/16/2023
Adaptively Placed Multi-Grid Scene Representation Networks for Large-Scale Data Visualization
Scene representation networks (SRNs) have been recently proposed for com...
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06/07/2023
SKG: A Versatile Information Retrieval and Analysis Framework for Academic Papers with Semantic Knowledge Graphs
The number of published research papers has experienced exponential grow...
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05/31/2023
VMap: An Interactive Rectangular Space-filling Visualization for Map-like Vertex-centric Graph Exploration
We present VMap, a map-like rectangular space-filling visualization, to ...
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09/15/2022
Not As Easy As You Think – Experiences and Lessons Learnt from Trying to Create a Bottom-Up Visualization Image Typology
We present and discuss the results of a two-year qualitative analysis of...
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09/15/2022
GNNInterpreter: A Probabilistic Generative Model-Level Explanation for Graph Neural Networks
Recently, Graph Neural Networks (GNNs) have significantly advanced the p...
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08/05/2022
IDLat: An Importance-Driven Latent Generation Method for Scientific Data
Deep learning based latent representations have been widely used for num...
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07/25/2022
VDL-Surrogate: A View-Dependent Latent-based Model for Parameter Space Exploration of Ensemble Simulations
We propose VDL-Surrogate, a view-dependent neural-network-latent-based s...
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07/14/2022
Efficient Interpolation-based Pathline Tracing with B-spline Curves in Particle Dataset
Particle tracing through numerical integration is a well-known approach ...
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06/23/2022
On Pre-Training for Federated Learning
In most of the literature on federated learning (FL), neural networks ar...
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06/13/2022
SmartGD: A Self-Challenging Generative Adversarial Network for Graph Drawing
A multitude of studies have been conducted on graph drawing, but many ex...
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02/18/2022
GNN-Surrogate: A Hierarchical and Adaptive Graph Neural Network for Parameter Space Exploration of Unstructured-Mesh Ocean Simulations
We propose GNN-Surrogate, a graph neural network-based surrogate model t...
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01/25/2022
SQRQuerier: A Visual Querying Framework for Cross-national Survey Data Recycling
Public opinion surveys constitute a powerful tool to study peoples' atti...
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09/13/2021
Reinforcement Learning for Load-balanced Parallel Particle Tracing
We explore an online learning reinforcement learning (RL) paradigm for o...
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06/27/2021
DeepGD: A Deep Learning Framework for Graph Drawing Using GNN
In the past decades, many graph drawing techniques have been proposed fo...
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05/27/2021
Time Varying Particle Data Feature Extraction and Tracking with Neural Networks
Analyzing particle data plays an important role in many scientific appli...
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05/20/2021
Document Domain Randomization for Deep Learning Document Layout Extraction
We present document domain randomization (DDR), the first successful tra...
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12/22/2020
VIS30K: A Collection of Figures and Tables from IEEE Visualization Conference Publications
We present the VIS30K dataset, a collection of 29,689 images that repres...
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11/17/2020
FTK: A Simplicial Spacetime Meshing Framework for Robust and Scalable Feature Tracking
We present the Feature Tracking Kit (FTK), a framework that simplifies, ...
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09/08/2020
CNNPruner: Pruning Convolutional Neural Networks with Visual Analytics
Convolutional neural networks (CNNs) have demonstrated extraordinarily g...
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05/02/2020
An Information-theoretic Visual Analysis Framework for Convolutional Neural Networks
Despite the great success of Convolutional Neural Networks (CNNs) in Com...
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03/04/2020
Distributed Asynchronous Union-Find for Scalable Feature Tracking
Feature tracking and the visualizations of the resulting trajectories ma...
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11/27/2019
Geometry-Driven Detection, Tracking and Visual Analysis of Viscous and Gravitational Fingers
Viscous and gravitational flow instabilities cause a displacement front ...
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08/01/2019
InSituNet: Deep Image Synthesis for Parameter Space Exploration of Ensemble Simulations
We propose InSituNet, a deep learning based surrogate model to support p...
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04/19/2019
