Publications

2025

spotlight_dl4scivis

ST2VR: An Interactive Authoring System for SpatioTemporal STorytelling in Virtual Reality with Hierarchical Narrative Structure

Yifei Zhang, Jingyan Zhang, Ziyue Lin, Lin-Ping Yuan, Jun Han, Yalong Yang, and Siming Chen

IEEE PacificVis / Paper / Video

2024

spotlight_dl4scivis

DTBIA: An Immersive Visual Analytics System for Brain-Inspired Research

Jun-Hsiang Yao, Mingzheng Li, Jiayi Liu, Yuxiao Li, Jielin Feng, Jun Han, Qibao Zheng, Jianfeng Feng, and Siming Chen

IEEE TVCG / Paper / Video

2023

spotlight_dl4scivis

KD-INR: Time-Varying Volumetric Data Compression via Knowledge Distillation-Based Implicit Neural Representation

Jun Han, Hao Zheng, and Chongke Bi

IEEE TVCG / Paper / Appendix / Video

2022

spotlight_dl4scivis

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

Jun Han and Chaoli Wang

IEEE TVCG / Paper / Appendix / Video

spotlight_dl4scivis

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

Chaoli Wang and Jun Han

IEEE TVCG / Paper

spotlight_surfnet

SurfNet: Learning Surface Representations via Graph Convolutional Network

Jun Han and Chaoli Wang

CGF (EuroVis 2022) / Paper

spotlight_aqx

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

Reshika Palaniyappan Velumani, Meng Xia, Jun Han, Chaoli Wang, Alexis Lau, and Huaming Qu

ACM IUI 2022 / Paper

spotlight_aqx

Scalar2Vec: Translating Scalar Fields to Vector Fields via Deep Learning

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

IEEE PacificVis 2022 / Paper

spotlight_vcnet

VCNet: A Generative Model for Volume Completion

Jun Han and Chaoli Wang

Visual Informatics / Paper

spotlight_tsr-vfd

TSR-VFD: Generating Temporal Super-Resolution for Unsteady Vector Field Data

Jun Han and Chaoli Wang

C&G / Paper

spotlight_vcnet

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

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

IEEE TVCG (IEEE VIS 2021) / Paper

2021

spotlight_miccai21

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, and Danny Z. Chen

MICCAI 2021 / Paper

spotlight_cga21

Reconstructing Unsteady Flow Data from Representative Streamlines via Diffusion and Deep Learning Based Denoising

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

IEEE CG&A / Paper

spotlight_volumevisual

VolumeVisual: Design and Evaluation of an Educational Software Tool for Teaching and Learning Volume Visualization

Xueyi Bao, Jun Han, and Chaoli Wang

ASSE 2021 / Paper / Demo

spotlight_v2v

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, and Chaoli Wang

IEEE TVCG (IEEE SciVis 2020) / Paper

2020

spotlight_ssr-tvd

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

Jun Han and Chaoli Wang

IEEE TVCG / Paper

spotlight_flownet

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

Jun Han, Jun Tao, and Chaoli Wang

IEEE TVCG / Paper / Video

spotlight_lins

PQA-CNN: Towards Perceptual Quality Assured Single-Image Super-Resolution in Remote Sensing

Yang Zhang, Xiangyu Dong, Md Tahmid Rashid, Lanyu Shang, Jun Han, Daniel Zhang, and Dong Wang

IEEE/ACM IWQoS 2020 / Paper

spotlight_transres

TransRes: A Deep Transfer Learning Approach to Migratable Image Super-Resolution in Remote Urban Sensing

Yang Zhang, Ruohan Zong, Jun Han, Daniel Zhang, Md Tahmid Rashid, and Dong Wang

IEEE SECON 2020 / Paper

spotlight_lins

LINS: A Lidar-Inertial State Estimator for Robust and Efficient Navigation

Chao Qin, Haoyang Ye, Christian E. Pranata, Jun Han, Shuyang Zhang, and Ming Liu

IEEE ICRA 2020 / Paper

spotlight_pvis20

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

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

IEEE PacificVis 2020 / Paper

spotlight_tsr-tvd

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

Jun Han, and Chaoli Wang

IEEE TVCG (IEEE SciVis 2019) / Paper

2019

spotlight_aaai19

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, and Danny Z. Chen

AAAI 2019 / Paper

spotlight_transland

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 Zhang, and Dong Wang

IEEE Big Data 2019 / Paper

spotlight_aaai19

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, and Chaoli Wang

IEEE VIS 2019 (Short Paper) / Paper

spotlight_miccai19

Biomedical Image Segmentation via Representative Annotation

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

MICCAI 2019 / Paper

spotlight_cga19

Flow Field Reduction via Reconstructing Vector Data from 3D Streamlines Using Deep Learning

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

IEEE CG&A / Paper

2017

spotlight_ubiear

UbiEar: Bringing Location-independent Sound Awareness to the Hard-of-hearing People with Smartphones

Sicong Liu, Zimu Zhou, Junzhao Du, Longfei Shangguan, Jun Han, and Xin Wang

ACM IMWUT (Distinguished Paper Award at ACM UbiComp 2018) / Paper