I am an associate professor at the School of Computer Science and Engineering, Sun Yat-sen Univeristy. Before this, I was a postdoctoral researcher working with Dr. Chaoli Wang and Dr. Nitesh Chawla at the University of Notre Dame. I graduated from Michigan Technological University in 2015. My PhD advisors are Dr. Ching-Kuang Shene and Dr. Chaoli Wang.
My research focuses on the enabling techniques to visually explore and analyze data towards comprehensive understanding, with an emphasis on scientific data. My previous research included a suite of interactive approaches for exploratory flow visualization and pedagogical visualization tools for flow concepts and crytography. Currently, I am particularly interested in the use of deep learning and topological tools to extract intrinsic structure in scientific data, higher-order networks to understand sequence data and diffusion patterns, graph-based visualization techniques to explore data, and interactive techniques in AR/VR scenarios.
I am currently seeking highly-motivated PostDocs, PhD, Master, and undergraduate students interested in developing innovative visualization techniques to discover hidden information in data. Please refer to the recruitment information for detail.
Selected Publications
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Explore Your Network in Minutes: A Rapid Prototyping Toolkit for Understanding Neural Networks with Visual Analytics Shaoxuan Lai, Wanna Luan, Jun Tao*. IEEE Transactions on Visualization and Computer Graphics (IEEE VIS 2023), 30(1):683-693, Jan 2024. [PDF][GitHub] |
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FlowNL: Asking Flow Data in Natural Languages Jieying Huang, Yang Xi, Junnan Hu, Jun Tao*. IEEE Transactions on Visualization and Computer Graphics (IEEE VIS 2022), 29(1):1200-1210, Jan 2023. [PDF][Demo Video] |
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SD2: Slicing and Dicing Scholarly Data for Interactive Evaluation of Academic Performance Zhichun Guo, Jun Tao*, Siming Chen, Nitesh V. Chawla, Chaoli Wang. IEEE Transactions on Visualization and Computer Graphics, 29(8):3569-3585, Aug 2023. [PDF][GitHub][Presented at IEEE VIS 2022] |
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MV2Net: Multi-Variate Multi-View Brain Network Comparison over Uncertain Data Lei Shi, Junnan Hu, Zhihao Tan, Jun Tao*, Jiayan Ding, Yan Jin, Yanjun Wu, and Paul M. Thompson. IEEE Transactions on Visualization and Computer Graphics, 28(12):4640-4657, Dec 2022. [PDF][Presented at IEEE VIS 2022] |
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SurfRiver: Flattening Stream Surfaces for Comparative Visualization Jun Zhang, Jun Tao*, Jian-xun Wang, and Chaoli Wang. IEEE Transactions on Visualization and Computer Graphics (IEEE PacificVis 2021), 27(6):2783-2795, Apr 2021. [PDF] |
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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 Transactions on Visualization and Computer Graphics, 26(4):1732-1744, Apr 2020. [PDF][Presented at IEEE VIS 2019] |
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Visual Analysis of Collective Anomalies Using Faceted High-Order Correlation Graphs Jia Yan, Lei Shi, Jun Tao, Xiaolong Yu, Zhou Zhuang, Congcong Huang, Rulei Yu, Purui Su, Chaoli Wang, and Yang Chen. IEEE Transactions on Visualization and Computer Graphics, 26(7):2517-2534, Jul 2020. [PDF] |
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Exploring Time-Varying Multivariate Volume Data Using Matrix of Isosurface Similarity Maps Jun Tao, Martin Imre, Chaoli Wang, Nitesh V. Chawla, Hanqi Guo, Gökhan Sever, and Seung Hyun Kim. IEEE Transactions on Visualization and Computer Graphics (IEEE SciVis 2018), 25(1):1236-1245, Jan 2019. [PDF] |
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Semantic Flow Graph: A Framework for Discovering Object Relationships in Flow Fields Jun Tao, Chaoli Wang, Nitesh V. Chawla, Lei Shi, and Seung Hyun Kim. IEEE Transactions on Visualization and Computer Graphics, 24(12):3200-3213, Dec 2018. [PDF][Presented at IEEE VIS 2018] |
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Semi-Automatic Generation of Stream Surfaces via Sketching Jun Tao and Chaoli Wang. IEEE Transactions on Visualization and Computer Graphics, 24(9):2622-2635, Sep 2018. [PDF] |
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HoNVis: Visualizing and Exploring Higher-Order Networks Jun Tao, Jian Xu, Chaoli Wang, and Nitesh V. Chawla. In Proceedings of IEEE Pacific Visualization Symposium, Seoul, Korea, pages 1-10, Apr 2017. [PDF] [Github] [Executables Available] |
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VesselMap: A Web Interface to Explore Multivariate Vascular Data Jun Tao, Xiaoke Huang, Feng Qiu, Chaoli Wang, Jingfeng Jiang, Ching-Kuang Shene, Ye Zhao, and Daphne Yu. Computers & Graphics, 59:79-92, Oct 2016. [PDF] |
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A Vocabulary Approach to Partial Streamline Matching and Exploratory Flow Visualization Jun Tao, Chaoli Wang, Ching-Kuang Shene, and Seung Hyun Kim. IEEE Transactions on Visualization and Computer Graphics, 22(5):1503-1516, May 2015. [PDF] [HTM] [Library Available] |
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A Deformation Framework for Focus+Context Flow Visualization Jun Tao, Chaoli Wang, Ching-Kuang Shene, and Seung Hyun Kim. IEEE Transactions on Visualization and Computer Graphics, 20(1):42-55, Jan 2014. [PDF] |
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A Unified Approach to Streamline Selection and Viewpoint Selection for 3D Flow Visualization Jun Tao, Jun Ma, Chaoli Wang, and Ching-Kuang Shene. IEEE Transactions on Visualization and Computer Graphics, 19(3):393-406, Mar 2013. [PDF] |
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CryptoMentor CryptoMentor is a suite of cryptography visualization tools. Each tool covers one algorithm and provides a self-explaining interface. Most of the algorithms covered by standard undergraduate texts are supported, including the Vigenère cipher, DES, AES, RSA, SHA and elliptic curve cryptography. [CCSC2011] [SIGCSE2012] [SIGCSE2014] [HTM] [Executables Available] |
A complete list of publications can be found on my Google Scholar page.
Professional Services
Conference Tutorial Organizer
Recent Advancements of Feature-Based Flow Visualization and Analysis, IEEE VIS, 2016
Co-Organizers: Hanqi Guo, Bei Wang, Christoph Garth, and Tino Weinkauf. [materials]
Program Committee Member
ACM CIKM International Workshop on Data Mining Meets Visual Analytics at Big Data Era, 2016
ChinaVis, 2018, 2019, 2020, 2021, 2022
IEEE Pacific Visualization Symposium (PacificVis), 2020, 2021
IEEE Visualization Conference (VIS), 2021, 2022
International Conference on Applications and Systems of Visual Paradigms, 2016, 2017
Journal Reviewer
Computer Graphics Forum (CGF)
IEEE Journal of Biomedical and Health Informatics (IEEE JBHI)
International Journal of Computer Assisted Radiology and Surgery (IJCARS)
IEEE Transactions on Visualization and Computer Graphics (TVCG)
Journal of Visual Languages and Computing (JVLC)
Journal of Visualization (JOV)
Conference Reviewer
American Society for Engineering Education (ASEE)
Eurographics/IEEE-VGTC Symposium on Visualization (EuroVis)
IEEE Information Visualization Conference (InfoVis)
IEEE Pacific Visualization Symposium (PacificVis)
IEEE (Scientific) Visualization Conference (Vis/SciVis)
International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP)
International Journal of Computer Assisted Radiology and Surgery (IJCARS)
International Symposium on Graph Drawing & Network Visualization (GD)