Jun Han

According to our database, Jun Han authored at least 21 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

CoordNet: Data Generation and Visualization Generation for Time-Varying Volumes via a Coordinate-Based Neural Network.

Jun Han, Chaoli Wang

IEEE Trans. Vis. Comput. Graph., December, 2023

DL4SciVis: A State-of-the-Art Survey on Deep Learning for Scientific Visualization.

Chaoli Wang, Jun Han

IEEE Trans. Vis. Comput. Graph., August, 2023

2022

VCNet: A generative model for volume completion.

Jun Han, Chaoli Wang

Vis. Informatics, 2022

STNet: An End-to-End Generative Framework for Synthesizing Spatiotemporal Super-Resolution Volumes.

Jun Han, Hao Zheng, Danny Z. Chen, Chaoli Wang

IEEE Trans. Vis. Comput. Graph., 2022

SSR-TVD: Spatial Super-Resolution for Time-Varying Data Analysis and Visualization.

Jun Han, Chaoli Wang

IEEE Trans. Vis. Comput. Graph., 2022

SurfNet: Learning Surface Representations via Graph Convolutional Network.

Jun Han, Chaoli Wang

Comput. Graph. Forum, 2022

TSR-VFD: Generating temporal super-resolution for unsteady vector field data.

Jun Han, Chaoli Wang

Comput. Graph., 2022

AQX: Explaining Air Quality Forecast for Verifying Domain Knowledge using Feature Importance Visualization.

Reshika Palaniyappan Velumani, Meng Xia, Jun Han, Chaoli Wang, Alexis Kai-Hon Lau, Huamin Qu

Proceedings of the IUI 2022: 27th International Conference on Intelligent User Interfaces, Helsinki, Finland, March 22, 2022

Scalar2Vec: Translating Scalar Fields to Vector Fields via Deep Learning.

Pengfei Gu, Jun Han, Danny Z. Chen, Chaoli Wang

Proceedings of the 15th IEEE Pacific Visualization Symposium, 2022

2021

V2V: A Deep Learning Approach to Variable-to-Variable Selection and Translation for Multivariate Time-Varying Data.

Jun Han, Hao Zheng, Yunhao Xing, Danny Z. Chen, Chaoli Wang

IEEE Trans. Vis. Comput. Graph., 2021

Reconstructing Unsteady Flow Data From Representative Streamlines via Diffusion and Deep-Learning-Based Denoising.

Pengfei Gu, Jun Han, Danny Z. Chen, Chaoli Wang

IEEE Computer Graphics and Applications, 2021

Hierarchical Self-supervised Learning for Medical Image Segmentation Based on Multi-domain Data Aggregation.

Hao Zheng, Jun Han, Hongxiao Wang, Lin Yang, Zhuo Zhao, Chaoli Wang, Danny Z. Chen

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

2020

TSR-TVD: Temporal Super-Resolution for Time-Varying Data Analysis and Visualization.

Jun Han, Chaoli Wang

IEEE Trans. Vis. Comput. Graph., 2020

FlowNet: A Deep Learning Framework for Clustering and Selection of Streamlines and Stream Surfaces.

Jun Han, Jun Tao, Chaoli Wang

IEEE Trans. Vis. Comput. Graph., 2020

SSR-VFD: Spatial Super-Resolution for Vector Field Data Analysis and Visualization.

Li Guo, Shaojie Ye, Jun Han, Hao Zheng, Han Gao, Danny Z. Chen, Jian-Xun Wang, Chaoli Wang

Proceedings of the 2020 IEEE Pacific Visualization Symposium, 2020

2019

Flow Field Reduction Via Reconstructing Vector Data From 3-D Streamlines Using Deep Learning.

Jun Han, Jun Tao, Hao Zheng, Hanqi Guo, Danny Z. Chen, Chaoli Wang

IEEE Computer Graphics and Applications, 2019

A Deep Learning Approach to Selecting Representative Time Steps for Time-Varying Multivariate Data.

William P. Porter, Yunhao Xing, Blaise R. von Ohlen, Jun Han, Chaoli Wang

Proceedings of the 30th IEEE Visualization Conference, 2019

HFA-Net: 3D Cardiovascular Image Segmentation with Asymmetrical Pooling and Content-Aware Fusion.

Hao Zheng, Lin Yang, Jun Han, Yizhe Zhang, Peixian Liang, Zhuo Zhao, Chaoli Wang, Danny Z. Chen

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

ContourNet: Salient Local Contour Identification for Blob Detection in Plasma Fusion Simulation Data.

Martin Imre, Jun Han, Julien Dominski, Michael Churchill, Ralph Kube, Choong-Seock Chang, Tom Peterka, Hanqi Guo, Chaoli Wang

Proceedings of the Advances in Visual Computing, 2019

TransLand: An Adversarial Transfer Learning Approach for Migratable Urban Land Usage Classification using Remote Sensing.

Yang Zhang, Ruohan Zong, Jun Han, Hao Zheng, Qiuwen Lou, Daniel Yue Zhang, Dong Wang

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

Biomedical Image Segmentation via Representative Annotation.

Hao Zheng, Lin Yang, Jianxu Chen, Jun Han, Yizhe Zhang, Peixian Liang, Zhuo Zhao, Chaoli Wang, Danny Z. Chen

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019