Publications

2022

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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

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

Chaoli Wang and Jun Han

IEEE TVCG / Paper

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SurfNet: Learning Surface Representations via Graph Convolutional Network

Jun Han and Chaoli Wang

CGF (EuroVis 2022) / Paper

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

Scalar2Vec: Translating Scalar Fields to Vector Fields via Deep Learning

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

IEEE PacificVis 2022 / Paper

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VCNet: A Generative Model for Volume Completion

Jun Han and Chaoli Wang

Visual Informatics / Paper

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

Jun Han and Chaoli Wang

C&G / Paper

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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

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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

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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

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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

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

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

Jun Han and Chaoli Wang

IEEE TVCG / Paper

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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

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

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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

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

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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

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

Jun Han, and Chaoli Wang

IEEE TVCG (IEEE SciVis 2019) / Paper

2019

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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

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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

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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

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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

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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

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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