Faculty Profiles - HAN Jun | The Hong Kong University of Science and Technology

Jun HAN
韓俊

PhD in Computer Science and Engineering
University of Notre Dame, 2022

Assistant Professor
Division of Emerging Interdisciplinary Areas

hanjun@ust.hk
Room IAS1004
Personal Web

Google Scholar

8i3v-a8AAAAJ

ORCID

0000-0002-7286-062X

ResearcherID

GBL-7640-2022

Scopus ID

57209633331

Research Interest Publications

Research Interest

Data visualization
Scientific visualization
Data management
Deep learning
Human-computer interaction

Publications

All Years 29 2024 2 2023 3 2022 8 2021 3 2020 6 2019 6 2018 1

2024 2

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

IEEE Transactions on Visualization and Computer Graphics, v. 30, (10), October 2024, article number 10371224, p. 6826-6838
Han, Jun; Zheng, Hao; Bi, Chongke
Article

SingVisio: Visual analytics of diffusion model for singing voice conversion

Computers and Graphics (Pergamon), v. 124, November 2024, article number 104058
Xue, Liumeng; Wang, Chaoren; Wang, Mingxuan; Zhang, Xueyao; Han, Jun; Wu, Zhizheng
Article

2023 3

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

IEEE Transactions on Visualization and Computer Graphics, v. 29, (12), December 2023, article number 9852325, p. 4951-4963
Han, Jun; Wang, Chaoli
Article

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

IEEE Transactions on Visualization and Computer Graphics, v. 29, (8), August 2023, article number 9760126, p. 3714-3733
Wang, Chaoli; Han, Jun
Article

GMT: A deep learning approach to generalized multivariate translation for scientific data analysis and visualization

Computers and Graphics (Pergamon), v. 112, May 2023, p. 92-104
Yao, Siyuan; Han, Jun; Wang, Chaoli
Article

2022 8

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

IEEE Transactions on Visualization and Computer Graphics, v. 28, (6), June 2022, article number 9229162, p. 2445-2456
Han, Jun; Wang, Chaoli
Article

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

IEEE Transactions on Visualization and Computer Graphics, v. 28, (1), January 2022, article number 9552857, p. 270-280
Han, Jun; Zheng, Hao; Chen, Danny Z.; Wang, Chaoli
Article

SurfNet: Learning Surface Representations via Graph Convolutional Network

Computer Graphics Forum, v. 41, (3), June 2022, p. 109-120
Han, Jun; Wang, Chaoli
Article

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

Computers and Graphics (Pergamon), v. 103, April 2022, p. 168-179
Han, Jun; Wang, Chaoli
Article

VCNet: A generative model for volume completion

Visual Informatics, v. 6, (2), June 2022, p. 62-73
Han, Jun; Wang, Chaoli
Article

Deep Learning-Based Upscaling for In Situ Volume Visualization

In Situ Visualization for Computational Science / edited by Hank Childs, Janine C. Bennett, Christoph Garth. Cham, Switzerland : Springer , 2022, p. 331-352
Weiss, Sebastian; Han, Jun; Wang, Chaoli; Westermann, Rüdiger
Book chapter

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

IUI '22: Proceedings of the 27th International Conference on Intelligent User Interfaces / Association for Computing Machinery. New York : Association for Computing Machinery, 2022, p. 720-733
Palaniyappan Velumani, Reshika; Xia, Meng; Han, Jun; Wang, Chaoli; Lau, Alexis Kai Hon; Qu, Huamin
Conference paper

Scalar2Vec: Translating Scalar Fields to Vector Fields via Deep Learning

IEEE Pacific Visualization Symposium, v. 2022-April, June 2022, article number 9787885, p. 31-40
Gu, Pengfei; Han, Jun; Chen, Danny Z.; Wang, Chaoli
Conference paper

2021 3

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

IEEE Computer Graphics and Applications, v. 41, (6), November-December 2021, article number 9456980, p. 111-121
Gu, Pengfei; Han, Jun; Chen, Danny Z.; Wang, Chaoli
Article

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

IEEE Transactions on Visualization and Computer Graphics, v. 27, (2), February 2021, article number 9230431, p. 1290-1300
Han, Jun; Zheng, Hao; Xing, Yunhao; Chen, Danny Z.; Wang, Chaoli
Article

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

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), v. 12901 LNCS, June 2020, p. 622 -632
Zheng, Hao; Han, Jun; Wang, Hongxiao; Yang, Lin; Zhao, Zhuo; Wang, Chaoli; Chen, Danny Z.
Conference paper

2020 6

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

IEEE Transactions on Visualization and Computer Graphics, v. 26, (4), April 2020, article number 8532319, p. 1732-1744
Han, Jun; Tao, Jun; Wang, Chaoli
Article

Tsr-Tvd: Temporal super-resolution for time-varying data analysis and visualization

IEEE Transactions on Visualization and Computer Graphics, v. 26, (1), January 2020, article number 8802285, p. 205-215
Han, Jun; Wang, Chaoli
Article

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

2020 IEEE International Conference on Robotics and Automation (ICRA) / IEEE. Piscataway, NJ : IEEE, 2020, p. 8899-8905, Article number 9197567
Qin, Chao; Ye, Haoyang; Pranata, Christian Edwin; Han, Jun; Zhang, Shuyang; Liu, Ming
Conference paper

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

2020 IEEE/ACM 28th International Symposium on Quality of Service, IWQoS 2020 / IEEE. Piscataway, NJ : IEEE, 2020, Article number 9212942
Zhang, Yang; Dong, Xiangyu; Rashid, Md Tahmid; Shang, Lanyu; Han, Jun; Zhang, Daniel; Wang, Dong
Conference paper

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

IEEE Pacific Visualization Symposium, v. 2020-June, May 2020, article number 9086293, p. 71-80
Guo, Li; Ye, Shaojie; Han, Jun; Zheng, Hao; Gao, Han; Chen, Danny Z.; Wang, Jian-Xun; Wang, Chaoli
Conference paper

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

Annual IEEE Communications Society Conference on Sensor, Mesh and Ad Hoc Communications and Networks workshops / IEEE. Piscataway, NJ : IEEE, 2020, Article number 9158410
Zhang, Yang; Zong, Ruohan; Han, Jun; Zhang, Daniel; Rashid, Tahmid; Wang, Dong
Conference paper

2019 6

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

IEEE Computer Graphics and Applications, v. 39, (4), July-August 2019, article number 8739144, p. 54-67
Han, Jun; Tao, Jun; Zheng, Hao; Guo, Hanqi; Chen, Danny Z.; Wang, Chaoli
Article

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

International Conference on Visualisation, VIS / IEEE. Piscataway, NJ : IEEE, 2019, p. 131-135, Article number 8933759
Porter, William P.; Xing, Yunhao; Von Ohlen, Blaise R.; Han, Jun; Wang, Chaoli
Conference paper

Biomedical image segmentation via representative annotation

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

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

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), v. 11844 LNCS, October 2019, p. 289-301
Imre, Martin; Han, Jun; Dominski, Julien; Churchill, Michael; Kube, Ralph; Chang, Choong-Seock; Peterka, Tom; Guo, Hanqi; Wang, Chaoli
Conference paper

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

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), v. 11765 LNCS, October 2019, p. 759-767
Zheng, Hao; Yang, Lin; Han, Jun; Zhang, Yizhe; Liang, Peixian; Zhao, Zhuo; Wang, Chaoli; Chen, Danny Z.
Conference paper

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

Proceedings - 2019 IEEE International Conference on Big Data, Big Data 2019 / IEEE. Piscataway, NJ : IEEE, 2020, p. 1567 -1576, Article number 9006360
Zhang, Yang; Zong, Ruohan; Han, Jun; Zheng, Hao; Lou, Qiuwen; Zhang, Daniel; Wang, Dong
Conference paper

2017 1

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

Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, v. 1, (2), June 2017, article number 17, p. 1-21
Liu, Sicong; Zhou, Zimu; Du, Junzhao; Shangguan, Longfei; Han, Jun; Wang, Xin
Article

Article 2

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

IEEE Transactions on Visualization and Computer Graphics, v. 30, (10), October 2024, article number 10371224, p. 6826-6838
Han, Jun; Zheng, Hao; Bi, Chongke

SingVisio: Visual analytics of diffusion model for singing voice conversion

Computers and Graphics (Pergamon), v. 124, November 2024, article number 104058
Xue, Liumeng; Wang, Chaoren; Wang, Mingxuan; Zhang, Xueyao; Han, Jun; Wu, Zhizheng

Article 3

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

IEEE Transactions on Visualization and Computer Graphics, v. 29, (12), December 2023, article number 9852325, p. 4951-4963
Han, Jun; Wang, Chaoli

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

IEEE Transactions on Visualization and Computer Graphics, v. 29, (8), August 2023, article number 9760126, p. 3714-3733
Wang, Chaoli; Han, Jun

GMT: A deep learning approach to generalized multivariate translation for scientific data analysis and visualization

Computers and Graphics (Pergamon), v. 112, May 2023, p. 92-104
Yao, Siyuan; Han, Jun; Wang, Chaoli

Article 5

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

IEEE Transactions on Visualization and Computer Graphics, v. 28, (6), June 2022, article number 9229162, p. 2445-2456
Han, Jun; Wang, Chaoli

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

IEEE Transactions on Visualization and Computer Graphics, v. 28, (1), January 2022, article number 9552857, p. 270-280
Han, Jun; Zheng, Hao; Chen, Danny Z.; Wang, Chaoli

SurfNet: Learning Surface Representations via Graph Convolutional Network

Computer Graphics Forum, v. 41, (3), June 2022, p. 109-120
Han, Jun; Wang, Chaoli

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

Computers and Graphics (Pergamon), v. 103, April 2022, p. 168-179
Han, Jun; Wang, Chaoli

VCNet: A generative model for volume completion

Visual Informatics, v. 6, (2), June 2022, p. 62-73
Han, Jun; Wang, Chaoli

Book chapter 1

Deep Learning-Based Upscaling for In Situ Volume Visualization

In Situ Visualization for Computational Science / edited by Hank Childs, Janine C. Bennett, Christoph Garth. Cham, Switzerland : Springer , 2022, p. 331-352
Weiss, Sebastian; Han, Jun; Wang, Chaoli; Westermann, Rüdiger

Conference paper 2

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

IUI '22: Proceedings of the 27th International Conference on Intelligent User Interfaces / Association for Computing Machinery. New York : Association for Computing Machinery, 2022, p. 720-733
Palaniyappan Velumani, Reshika; Xia, Meng; Han, Jun; Wang, Chaoli; Lau, Alexis Kai Hon; Qu, Huamin

Scalar2Vec: Translating Scalar Fields to Vector Fields via Deep Learning

IEEE Pacific Visualization Symposium, v. 2022-April, June 2022, article number 9787885, p. 31-40
Gu, Pengfei; Han, Jun; Chen, Danny Z.; Wang, Chaoli

Article 2

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

IEEE Computer Graphics and Applications, v. 41, (6), November-December 2021, article number 9456980, p. 111-121
Gu, Pengfei; Han, Jun; Chen, Danny Z.; Wang, Chaoli

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

IEEE Transactions on Visualization and Computer Graphics, v. 27, (2), February 2021, article number 9230431, p. 1290-1300
Han, Jun; Zheng, Hao; Xing, Yunhao; Chen, Danny Z.; Wang, Chaoli

Conference paper 1

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

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), v. 12901 LNCS, June 2020, p. 622 -632
Zheng, Hao; Han, Jun; Wang, Hongxiao; Yang, Lin; Zhao, Zhuo; Wang, Chaoli; Chen, Danny Z.

Article 2

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

IEEE Transactions on Visualization and Computer Graphics, v. 26, (4), April 2020, article number 8532319, p. 1732-1744
Han, Jun; Tao, Jun; Wang, Chaoli

Tsr-Tvd: Temporal super-resolution for time-varying data analysis and visualization

IEEE Transactions on Visualization and Computer Graphics, v. 26, (1), January 2020, article number 8802285, p. 205-215
Han, Jun; Wang, Chaoli

Conference paper 4

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

2020 IEEE International Conference on Robotics and Automation (ICRA) / IEEE. Piscataway, NJ : IEEE, 2020, p. 8899-8905, Article number 9197567
Qin, Chao; Ye, Haoyang; Pranata, Christian Edwin; Han, Jun; Zhang, Shuyang; Liu, Ming

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

2020 IEEE/ACM 28th International Symposium on Quality of Service, IWQoS 2020 / IEEE. Piscataway, NJ : IEEE, 2020, Article number 9212942
Zhang, Yang; Dong, Xiangyu; Rashid, Md Tahmid; Shang, Lanyu; Han, Jun; Zhang, Daniel; Wang, Dong

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

IEEE Pacific Visualization Symposium, v. 2020-June, May 2020, article number 9086293, p. 71-80
Guo, Li; Ye, Shaojie; Han, Jun; Zheng, Hao; Gao, Han; Chen, Danny Z.; Wang, Jian-Xun; Wang, Chaoli

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

Annual IEEE Communications Society Conference on Sensor, Mesh and Ad Hoc Communications and Networks workshops / IEEE. Piscataway, NJ : IEEE, 2020, Article number 9158410
Zhang, Yang; Zong, Ruohan; Han, Jun; Zhang, Daniel; Rashid, Tahmid; Wang, Dong

Article 1

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

IEEE Computer Graphics and Applications, v. 39, (4), July-August 2019, article number 8739144, p. 54-67
Han, Jun; Tao, Jun; Zheng, Hao; Guo, Hanqi; Chen, Danny Z.; Wang, Chaoli

Conference paper 5

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

International Conference on Visualisation, VIS / IEEE. Piscataway, NJ : IEEE, 2019, p. 131-135, Article number 8933759
Porter, William P.; Xing, Yunhao; Von Ohlen, Blaise R.; Han, Jun; Wang, Chaoli

Biomedical image segmentation via representative annotation

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

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

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), v. 11844 LNCS, October 2019, p. 289-301
Imre, Martin; Han, Jun; Dominski, Julien; Churchill, Michael; Kube, Ralph; Chang, Choong-Seock; Peterka, Tom; Guo, Hanqi; Wang, Chaoli

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

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), v. 11765 LNCS, October 2019, p. 759-767
Zheng, Hao; Yang, Lin; Han, Jun; Zhang, Yizhe; Liang, Peixian; Zhao, Zhuo; Wang, Chaoli; Chen, Danny Z.

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

Proceedings - 2019 IEEE International Conference on Big Data, Big Data 2019 / IEEE. Piscataway, NJ : IEEE, 2020, p. 1567 -1576, Article number 9006360
Zhang, Yang; Zong, Ruohan; Han, Jun; Zheng, Hao; Lou, Qiuwen; Zhang, Daniel; Wang, Dong

Article 1

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

Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, v. 1, (2), June 2017, article number 17, p. 1-21
Liu, Sicong; Zhou, Zimu; Du, Junzhao; Shangguan, Longfei; Han, Jun; Wang, Xin

2017 1

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

Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, v. 1, (2), June 2017, article number 17, p. 1-21
Liu, Sicong; Zhou, Zimu; Du, Junzhao; Shangguan, Longfei; Han, Jun; Wang, Xin
Article

Research Interest

Publications

2024 2

2023 3

2022 8

2021 3

2020 6

2019 6

2017 1

Article 2

Article 3

Article 5

Book chapter 1

Conference paper 2

Article 2

Conference paper 1

Article 2

Conference paper 4

Article 1

Conference paper 5

Article 1

2017 1

Projects

From January 2022 to December 2024

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