Biomedical Image Segmentation via Representative Annotation. - Hao Zheng 006; Lin Yang 003; Jianxu Chen 001; Jun Han 010; Yizhe Zhang 001; Peixian Liang; Zhuo Zhao; Chaoli Wang 001; Danny Z. Chen (AAAI, 2019)

TransLand: An Adversarial Transfer Learning Approach for Migratable Urban Land Usage Classification using Remote Sensing. - Yang Zhang 031; Ruohan Zong; Jun Han 010; Hao Zheng 006; Qiuwen Lou; Daniel Yue Zhang; Dong Wang 002 (IEEE BigData, 2019)

ContourNet: Salient Local Contour Identification for Blob Detection in Plasma Fusion Simulation Data. - Martin Imre; Jun Han 010; Julien Dominski; Michael Churchill; Ralph Kube; Choong-Seock Chang; Tom Peterka; Hanqi Guo 001; Chaoli Wang 001 (ISVC (1), 2019)

HFA-Net: 3D Cardiovascular Image Segmentation with Asymmetrical Pooling and Content-Aware Fusion. - Hao Zheng 006; Lin Yang 003; Jun Han 010; Yizhe Zhang 001; Peixian Liang; Zhuo Zhao; Chaoli Wang 001; Danny Z. Chen (MICCAI (2), 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 010; Chaoli Wang 001 (IEEE VIS (Short Papers), 2019)

Flow Field Reduction Via Reconstructing Vector Data From 3-D Streamlines Using Deep Learning. - Jun Han 010; Jun Tao 002; Hao Zheng 006; Hanqi Guo 001; Danny Z. Chen; Chaoli Wang 001 (IEEE Computer Graphics and Applications, 2019)

SSR-VFD: Spatial Super-Resolution for Vector Field Data Analysis and Visualization. - Li Guo; Shaojie Ye; Jun Han 010; Hao Zheng 006; Han Gao 005; Danny Z. Chen; Jian-Xun Wang 001; Chaoli Wang 001 (PacificVis, 2020)

PQA-CNN: Towards Perceptual Quality Assured Single-Image Super-Resolution in Remote Sensing. - Yang Zhang 031; Xiangyu Dong 004; Md. Tahmid Rashid; Lanyu Shang; Jun Han 010; Daniel Zhang 001; Dong Wang 002 (IWQoS, 2020)

TransRes: A Deep Transfer Learning Approach to Migratable Image Super-Resolution in Remote Urban Sensing. - Yang Zhang 031; Ruohan Zong; Jun Han 010; Daniel Zhang 001; Md. Tahmid Rashid; Dong Wang 002 (SECON, 2020)

FlowNet: A Deep Learning Framework for Clustering and Selection of Streamlines and Stream Surfaces. - Jun Han 010; Jun Tao 002; Chaoli Wang 001 (IEEE Trans. Vis. Comput. Graph., 2020)

TSR-TVD: Temporal Super-Resolution for Time-Varying Data Analysis and Visualization. - Jun Han 010; Chaoli Wang 001 (IEEE Trans. Vis. Comput. Graph., 2020)

Hierarchical Self-supervised Learning for Medical Image Segmentation Based on Multi-domain Data Aggregation. - Hao Zheng 006; Jun Han 010; Hongxiao Wang; Lin Yang 003; Zhuo Zhao; Chaoli Wang 001; Danny Z. Chen (MICCAI (1), 2021)

Reconstructing Unsteady Flow Data From Representative Streamlines via Diffusion and Deep-Learning-Based Denoising. - Pengfei Gu; Jun Han 010; Danny Z. Chen; Chaoli Wang 001 (IEEE Computer Graphics and Applications, 2021)

V2V: A Deep Learning Approach to Variable-to-Variable Selection and Translation for Multivariate Time-Varying Data. - Jun Han 010; Hao Zheng 006; Yunhao Xing; Danny Z. Chen; Chaoli Wang 001 (IEEE Trans. Vis. Comput. Graph., 2021)

Scalar2Vec: Translating Scalar Fields to Vector Fields via Deep Learning. - Pengfei Gu; Jun Han 010; Danny Z. Chen; Chaoli Wang 001 (PacificVis, 2022)

AQX: Explaining Air Quality Forecast for Verifying Domain Knowledge using Feature Importance Visualization. - Reshika Palaniyappan Velumani; Meng Xia 002; Jun Han 010; Chaoli Wang 001; Alexis Kai-Hon Lau; Huamin Qu (IUI, 2022)

TSR-VFD: Generating temporal super-resolution for unsteady vector field data. - Jun Han 010; Chaoli Wang 001 (Comput. Graph., 2022)

SurfNet: Learning Surface Representations via Graph Convolutional Network. - Jun Han 010; Chaoli Wang 001 (Comput. Graph. Forum, 2022)

SSR-TVD: Spatial Super-Resolution for Time-Varying Data Analysis and Visualization. - Jun Han 010; Chaoli Wang 001 (IEEE Trans. Vis. Comput. Graph., 2022)

STNet: An End-to-End Generative Framework for Synthesizing Spatiotemporal Super-Resolution Volumes. - Jun Han 010; Hao Zheng 006; Danny Z. Chen; Chaoli Wang 001 (IEEE Trans. Vis. Comput. Graph., 2022)

VCNet: A generative model for volume completion. - Jun Han 010; Chaoli Wang 001 (Vis. Informatics, 2022)

GMT: A deep learning approach to generalized multivariate translation for scientific data analysis and visualization. - Siyuan Yao; Jun Han 010; Chaoli Wang 001 (Comput. Graph., 2023)

DL4SciVis: A State-of-the-Art Survey on Deep Learning for Scientific Visualization. - Chaoli Wang 001; Jun Han 010 (IEEE Trans. Vis. Comput. Graph., 2023)

CoordNet: Data Generation and Visualization Generation for Time-Varying Volumes via a Coordinate-Based Neural Network. - Jun Han 010; Chaoli Wang 001 (IEEE Trans. Vis. Comput. Graph., 2023)

KD-INR: Time-Varying Volumetric Data Compression via Knowledge Distillation-Based Implicit Neural Representation. - Jun Han 010; Hao Zheng 006; Chongke Bi (IEEE Trans. Vis. Comput. Graph., 2024)

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 010; Yalong Yang 001; Siming Chen 001 (PacificVis, 2025)

SemExplorer: A User Interface for Semantic Approach to Customized Dataset Search. - Zixin Wei; Jun Han 010; Xiaolin Han 002; Chenhao Ma 001 (SIGMOD Conference Companion, 2025)

DTBIA: An Immersive Visual Analytics System for Brain-Inspired Research. - Jun-Hsiang Yao; Mingzheng Li; Jiayi Liu; Yuxiao Li 002; Jielin Feng; Jun Han 010; Qibao Zheng; Jianfeng Feng; Siming Chen 001 (IEEE Trans. Vis. Comput. Graph., 2025)

TexGS-VolVis: Expressive Scene Editing for Volume Visualization via Textured Gaussian Splatting. - Kaiyuan Tang; Kuangshi Ai; Jun Han 010; Chaoli Wang 001 (CoRR, 2025)