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Jun Han
ORCID
Publication Activity (10 Years)
Years Active: 2022-2023
Publications (10 Years): 9
Top Topics
Air Quality
Deep Learning
Feature Importance
Vector Field
Top Venues
IEEE Trans. Vis. Comput. Graph.
CoRR
Vis. Informatics
PacificVis
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Publications
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Jun Han
,
Chaoli Wang
CoordNet: Data Generation and Visualization Generation for Time-Varying Volumes via a Coordinate-Based Neural Network.
IEEE Trans. Vis. Comput. Graph.
29 (12) (2023)
Chaoli Wang
,
Jun Han
DL4SciVis: A State-of-the-Art Survey on Deep Learning for Scientific Visualization.
IEEE Trans. Vis. Comput. Graph.
29 (8) (2023)
Jun Han
,
Chaoli Wang
SSR-TVD: Spatial Super-Resolution for Time-Varying Data Analysis and Visualization.
IEEE Trans. Vis. Comput. Graph.
28 (6) (2022)
Jun Han
,
Chaoli Wang
VCNet: A generative model for volume completion.
Vis. Informatics
6 (2) (2022)
Reshika Palaniyappan Velumani
,
Meng Xia
,
Jun Han
,
Chaoli Wang
,
Alexis Kai-Hon Lau
,
Huamin Qu
AQX: Explaining Air Quality Forecast for Verifying Domain Knowledge using Feature Importance Visualization.
IUI
(2022)
Jun Han
,
Chaoli Wang
TSR-VFD: Generating temporal super-resolution for unsteady vector field data.
Comput. Graph.
103 (2022)
Pengfei Gu
,
Jun Han
,
Danny Z. Chen
,
Chaoli Wang
Scalar2Vec: Translating Scalar Fields to Vector Fields via Deep Learning.
PacificVis
(2022)
Chaoli Wang
,
Jun Han
DL4SciVis: A State-of-the-Art Survey on Deep Learning for Scientific Visualization.
CoRR
(2022)
Jun Han
,
Chaoli Wang
SurfNet: Learning Surface Representations via Graph Convolutional Network.
Comput. Graph. Forum
41 (3) (2022)