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1. Improving Efficiency of Iso-Surface Extraction on Implicit Neural Representations Using Uncertainty Propagation NSTL国家科技图书文献中心

Haoyu Li |  Han-Wei Shen -  《IEEE transactions on visualization and computer graphics》 - 2025,31(2) - 1513~1525 - 共13页

摘要:Implicit Neural representations (INRs) are widely used for scientific data reduction and visualization by modeling the function that maps a spatial location to a data value. Without any prior knowledg...
关键词: Arithmetic |  Data visualization |  Uncertainty |  Data mining |  Three-dimensional displays |  Task analysis |  Feature extraction

2. 2024 VGTC Visualization Technical Achievement Award NSTL国家科技图书文献中心

Han-Wei Shen |  Bongshin Lee -  《IEEE transactions on visualization and computer graphics》 - 2025,31(1) - xxxii~xxxiii - 共2页

摘要:The 2024 VGTC Visualization Technical Achievement Award goes to Han-Wei Shen for his research on extreme-scale and multivariate time-varying data visualization, uncertainty visualization, and novel ap...
关键词: Awards

3. VADIS: A Visual Analytics Pipeline for Dynamic Document Representation and Information-Seeking NSTL国家科技图书文献中心

Rui Qiu |  Yamei Tu... -  《IEEE transactions on visualization and computer graphics》 - 2025,31(1) - 1312~1321 - 共10页

摘要:In the biomedical domain, visualizing the document embeddings of an extensive corpus has been widely used in information-seeking tasks. However, three key challenges with existing visualizations make ...
关键词: Iterative methods |  Semantics |  Computational modeling |  Visual analytics |  Pipelines |  Pediatrics |  Transformers

4. SurroFlow: A Flow-Based Surrogate Model for Parameter Space Exploration and Uncertainty Quantification NSTL国家科技图书文献中心

Jingyi Shen |  Yuhan Duan... -  《IEEE transactions on visualization and computer graphics》 - 2025,31(1) - 635~644 - 共10页

摘要:Existing deep learning-based surrogate models facilitate efficient data generation, but fall short in uncertainty quantification, efficient parameter space exploration, and reverse prediction. In our ...
关键词: Uncertainty |  Computational modeling |  Space exploration |  Data models |  Predictive models |  Analytical models |  Visualization

5. Regularized Multi-Decoder Ensemble for an Error-Aware Scene Representation Network NSTL国家科技图书文献中心

Tianyu Xiong |  Skylar W. Wurster... -  《IEEE transactions on visualization and computer graphics》 - 2025,31(1) - 645~655 - 共11页

摘要:Feature grid Scene Representation Networks (SRNs) have been applied to scientific data as compact functional surrogates for analysis and visualization. As SRNs are black-box lossy data representations...
关键词: Computer architecture |  Neural networks |  Decoding |  Data visualization |  Training |  Accuracy |  Rendering (computer graphics)

6. PSRFlow: Probabilistic Super Resolution with Flow-Based Models for Scientific Data NSTL国家科技图书文献中心

Jingyi Shen |  Han-Wei Shen -  《IEEE transactions on visualization and computer graphics》 - 2024,30(1) - 986~996 - 共11页 - 被引量:1

摘要: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 errors and uncertain...
关键词: Superresolution |  Uncertainty |  Data models |  Data visualization |  Gaussian distribution |  Probabilistic logic |  Computational modeling

7. SmartGD: A GAN-Based Graph Drawing Framework for Diverse Aesthetic Goals NSTL国家科技图书文献中心

Xiaoqi Wang |  Kevin Yen... -  《IEEE transactions on visualization and computer graphics》 - 2024,30(8) - 5666~5678 - 共13页

摘要:While a multitude of studies have been conducted on graph drawing, many existing methods only focus on optimizing a single aesthetic aspect of graph layouts, which can lead to sub-optimal results. The...
关键词: Layout |  Graph drawing |  Deep learning |  Generative adversarial networks |  Stress |  Generators |  Training data

8. Efficient Level-Crossing Probability Calculation for Gaussian Process Modeled Data NSTL国家科技图书文献中心

Haoyu Li |  Isaac J Michaud... -  《2024 IEEE 17th Pacific Visualization Conference: PacificVis 2024, Tokyo, Japan, 23-26 April 2024》 -  IEEE Pacific Visualization Symposium - 2024, - 252~261 - 共10页

摘要:Almost all scientific data have uncertainties originating from different sources. Gaussian process regression (GPR) models are a natural way to model data with Gaussian-distributed uncertainties. GPR ...
关键词: Adaptation models |  Upper bound |  Uncertainty |  Computational modeling |  Estimation |  Gaussian processes |  Probabilistic logic

9. KG-PRE-view: Democratizing a TVCG Knowledge Graph through Visual Explorations NSTL国家科技图书文献中心

Yamei Tu |  Rui Qiu... -  《2024 IEEE 17th Pacific Visualization Conference: PacificVis 2024, Tokyo, Japan, 23-26 April 2024》 -  IEEE Pacific Visualization Symposium - 2024, - 162~171 - 共10页

摘要:IEEE Transactions on Visualization and Computer Graphics (TVCG) publishes cutting-edge research in the fields of visualization, computer graphics, and virtual and augmented realities. Within the TVCG ...
关键词: Uniform resource locators |  Visual analytics |  Semantics |  Decision making |  Pipelines |  Data visualization |  Knowledge graphs

10. Adaptively Placed Multi-Grid Scene Representation Networks for Large-Scale Data Visualization NSTL国家科技图书文献中心

Skylar W. Wurster |  Tianyu Xiong... -  《IEEE transactions on visualization and computer graphics》 - 2024,30(1) - 965~974 - 共10页 - 被引量:1

摘要:Scene representation networks (SRNs) have been recently proposed for compression and visualization of scientific data. However, state-of-the-art SRNs do not adapt the allocation of available network p...
关键词: Training |  Adaptation models |  Data models |  Solid modeling |  Computer architecture |  Rendering (computer graphics) |  Encoding
检索条件作者:Han-Wei Shen
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