Jun Han

39 papers A* 2A 1B 5Journal 25Unranked 6
YearRankTypeTitle / Venue / Authors
2026 J jnl
A Few-Shot Learning Framework for Time-Varying Scientific Data Generation via Conditional Diffusion Model.
IEEE Trans. Vis. Comput. Graph.
Jun Han
2026 J jnl
CD-TVD: Contrastive Diffusion for 3D Super-Resolution with Scarce High-Resolution Time-Varying Data.
IEEE Trans. Vis. Comput. Graph.
Chongke Bi, Xin Gao, Jiakang Deng, Guan Li, Jun Han
2026 J jnl
MoE-INR: Implicit Neural Representation with Mixture-of-Experts for Time-Varying Volumetric Data Compression.
IEEE Trans. Vis. Comput. Graph.
Jun Han, Kaiyuan Tang, Chaoli Wang
2026 J jnl
TexGS-VolVis: Expressive Scene Editing for Volume Visualization via Textured Gaussian Splatting.
IEEE Trans. Vis. Comput. Graph.
Kaiyuan Tang, Kuangshi Ai, Jun Han, Chaoli Wang
2026 A* conf
Towards Understanding Time-Varying Spatial 3D Data Analysis with Animation and Small Multiples in Virtual Reality and Desktop.
VR
Linping Yuan, Le Lin, Yuquan Lin, Jun Han, Zikun Deng, Weicong Cheng, Huamin Qu
2025 J jnl
A Study of Data Augmentation for Learning-Driven Scientific Visualization.
IEEE Trans. Vis. Comput. Graph.
Jun Han, Hao Zheng, Jun Tao
2025 J jnl
DCINR: A Divide-and-Conquer Implicit Neural Representation for Compressing Time-Varying Volumetric Data in Hours.
IEEE Trans. Vis. Comput. Graph.
Jun Han, Fan Yang
2025 J jnl
DTBIA: An Immersive Visual Analytics System for Brain-Inspired Research.
CoRR
Jun-Hsiang Yao, Mingzheng Li, Jiayi Liu, Yuxiao Li, Jielin Feng, Jun Han, Qibao Zheng, Jianfeng Feng, Siming Chen
2025 J jnl
DTBIA: An Immersive Visual Analytics System for Brain-Inspired Research.
IEEE Trans. Vis. Comput. Graph.
Jun-Hsiang Yao, Mingzheng Li, Jiayi Liu, Yuxiao Li, Jielin Feng, Jun Han, Qibao Zheng, Jianfeng Feng, Siming Chen
2025 B conf
ST
PacificVis
Yifei Zhang, Jingyan Zhang, Ziyue Lin, Linping Yuan, Jun Han, Yalong Yang, Siming Chen
2025 — conf
SemExplorer: A User Interface for Semantic Approach to Customized Dataset Search.
SIGMOD Conference Companion
Zixin Wei, Jun Han, Xiaolin Han, Chenhao Ma
2025 J jnl
TexGS-VolVis: Expressive Scene Editing for Volume Visualization via Textured Gaussian Splatting.
CoRR
Kaiyuan Tang, Kuangshi Ai, Jun Han, Chaoli Wang
2024 J jnl
KD-INR: Time-Varying Volumetric Data Compression via Knowledge Distillation-Based Implicit Neural Representation.
IEEE Trans. Vis. Comput. Graph.
Jun Han, Hao Zheng, Chongke Bi
2023 J jnl
CoordNet: Data Generation and Visualization Generation for Time-Varying Volumes via a Coordinate-Based Neural Network.
IEEE Trans. Vis. Comput. Graph.
Jun Han, Chaoli Wang
2023 J jnl
DL4SciVis: A State-of-the-Art Survey on Deep Learning for Scientific Visualization.
IEEE Trans. Vis. Comput. Graph.
Chaoli Wang, Jun Han
2023 J jnl
GMT: A deep learning approach to generalized multivariate translation for scientific data analysis and visualization.
Comput. Graph.
Siyuan Yao, Jun Han, Chaoli Wang
2022 A conf
AQX: Explaining Air Quality Forecast for Verifying Domain Knowledge using Feature Importance Visualization.
IUI
Reshika Palaniyappan Velumani, Meng Xia, Jun Han, Chaoli Wang, Alexis Kai-Hon Lau, Huamin Qu
2022 J jnl
DL4SciVis: A State-of-the-Art Survey on Deep Learning for Scientific Visualization.
CoRR
Chaoli Wang, Jun Han
2022 J jnl
SSR-TVD: Spatial Super-Resolution for Time-Varying Data Analysis and Visualization.
IEEE Trans. Vis. Comput. Graph.
Jun Han, Chaoli Wang
2022 J jnl
STNet: An End-to-End Generative Framework for Synthesizing Spatiotemporal Super-Resolution Volumes.
IEEE Trans. Vis. Comput. Graph.
Jun Han, Hao Zheng, Danny Z. Chen, Chaoli Wang
2022 B conf
Scalar2Vec: Translating Scalar Fields to Vector Fields via Deep Learning.
PacificVis
Pengfei Gu, Jun Han, Danny Z. Chen, Chaoli Wang
2022 J jnl
SurfNet: Learning Surface Representations via Graph Convolutional Network.
Comput. Graph. Forum
Jun Han, Chaoli Wang
2022 J jnl
TSR-VFD: Generating temporal super-resolution for unsteady vector field data.
Comput. Graph.
Jun Han, Chaoli Wang
2022 J jnl
VCNet: A generative model for volume completion.
Vis. Informatics
Jun Han, Chaoli Wang
2021 J jnl
Hierarchical Self-Supervised Learning for Medical Image Segmentation Based on Multi-Domain Data Aggregation.
CoRR
Hao Zheng, Jun Han, Hongxiao Wang, Lin Yang, Zhuo Zhao, Chaoli Wang, Danny Z. Chen
2021 — conf
Hierarchical Self-supervised Learning for Medical Image Segmentation Based on Multi-domain Data Aggregation.
MICCAI (1)
Hao Zheng, Jun Han, Hongxiao Wang, Lin Yang, Zhuo Zhao, Chaoli Wang, Danny Z. Chen
2021 J jnl
Reconstructing Unsteady Flow Data From Representative Streamlines via Diffusion and Deep-Learning-Based Denoising.
IEEE Computer Graphics and Applications
Pengfei Gu, Jun Han, Danny Z. Chen, Chaoli Wang
2021 J jnl
V2V: A Deep Learning Approach to Variable-to-Variable Selection and Translation for Multivariate Time-Varying Data.
IEEE Trans. Vis. Comput. Graph.
Jun Han, Hao Zheng, Yunhao Xing, Danny Z. Chen, Chaoli Wang
2020 J jnl
FlowNet: A Deep Learning Framework for Clustering and Selection of Streamlines and Stream Surfaces.
IEEE Trans. Vis. Comput. Graph.
Jun Han, Jun Tao, Chaoli Wang
2020 B conf
PQA-CNN: Towards Perceptual Quality Assured Single-Image Super-Resolution in Remote Sensing.
IWQoS
Yang Zhang, Xiangyu Dong, Md. Tahmid Rashid, Lanyu Shang, Jun Han, Daniel Zhang, Dong Wang
2020 B conf
SSR-VFD: Spatial Super-Resolution for Vector Field Data Analysis and Visualization.
PacificVis
Li Guo, Shaojie Ye, Jun Han, Hao Zheng, Han Gao, Danny Z. Chen, Jian-Xun Wang, Chaoli Wang
2020 J jnl
TSR-TVD: Temporal Super-Resolution for Time-Varying Data Analysis and Visualization.
IEEE Trans. Vis. Comput. Graph.
Jun Han, Chaoli Wang
2020 B conf
TransRes: A Deep Transfer Learning Approach to Migratable Image Super-Resolution in Remote Urban Sensing.
SECON
Yang Zhang, Ruohan Zong, Jun Han, Daniel Zhang, Md. Tahmid Rashid, Dong Wang
2019 — conf
A Deep Learning Approach to Selecting Representative Time Steps for Time-Varying Multivariate Data.
IEEE VIS (Short Papers)
William P. Porter, Yunhao Xing, Blaise R. von Ohlen, Jun Han, Chaoli Wang
2019 A* conf
Biomedical Image Segmentation via Representative Annotation.
AAAI
Hao Zheng, Lin Yang, Jianxu Chen, Jun Han, Yizhe Zhang, Peixian Liang, Zhuo Zhao, Chaoli Wang, Danny Z. Chen
2019 — conf
ContourNet: Salient Local Contour Identification for Blob Detection in Plasma Fusion Simulation Data.
ISVC (1)
Martin Imre, Jun Han, Julien Dominski, Michael Churchill, Ralph Kube, Choong-Seock Chang, Tom Peterka, Hanqi Guo, Chaoli Wang
2019 J jnl
Flow Field Reduction Via Reconstructing Vector Data From 3-D Streamlines Using Deep Learning.
IEEE Computer Graphics and Applications
Jun Han, Jun Tao, Hao Zheng, Hanqi Guo, Danny Z. Chen, Chaoli Wang
2019 — conf
HFA-Net: 3D Cardiovascular Image Segmentation with Asymmetrical Pooling and Content-Aware Fusion.
MICCAI (2)
Hao Zheng, Lin Yang, Jun Han, Yizhe Zhang, Peixian Liang, Zhuo Zhao, Chaoli Wang, Danny Z. Chen
2019 — conf
TransLand: An Adversarial Transfer Learning Approach for Migratable Urban Land Usage Classification using Remote Sensing.
IEEE BigData
Yang Zhang, Ruohan Zong, Jun Han, Hao Zheng, Qiuwen Lou, Daniel Yue Zhang, Dong Wang