陶钧

陶钧，博士，自2018年9月起担任中山大学数据科学与计算机学院副教授，同时担任博士生导师。他入选了中山大学的“百人计划”。陶钧博士的研究领域涵盖科学可视化、可视分析和软件可视化，其研究成果在多个国际高水平期刊和会议上发表，包括IEEE Transactions on Visualization and Computer Graphics (CCF A)等顶级期刊。^[1]

陶钧博士的研究兴趣主要集中在科学可视化领域，特别是信息论、优化方法和交互探索方法在流场可视化以及多变量时变数据上的应用。他的研究还包括对图像数据集和时序数据的可视分析和探索，以及软件可视化在加密算法教育上的应用。

- 2008.9-2015.10，美国密歇根理工大学，博士

- 2004.9-2008.7，中山大学，本科

- 2018.9-至今，中山大学，副教授

- 2015.10-2018.9，美国圣母大学，博士后研究员

陶钧博士的学术成果丰富，其中包括在可视化领域顶级期刊TVCG (CCF A)上发表的8篇文章。以下是部分代表论著：

- Jun Han, Jun Tao, and Chaoli Wang. FlowNet: A Deep Learning Framework for Clustering and Selection of Streamlines and Stream Surfaces. IEEE Transactions on Visualization and Computer Graphics (CCF A), Accepted.

- Jia Yan, Lei Shi, Jun Tao, Xiaolong Yu, Zhou Zhuang, Congcong Huang, Rulei Yu, Purui Su, Chaoli Wang, and Yang Chen. Visual Analysis of Collective Anomalies Using Faceted High-Order Correlation Graphs. IEEE Transactions on Visualization and Computer Graphics (CCF A), Accepted.

- Jun Han, Jun Tao, Hao Zheng, Hanqi Guo, Danny Z. Chen, and Chaoli Wang. Flow Field Reduction via Reconstructing Vector Data from 3D Streamlines Using Deep Learning. IEEE Computer Graphics and Applications (Special Issue on Visual Computing with Deep Learning), 39(2), Mar/Apr 2019.

- Jun Tao, Martin Imre, Chaoli Wang, Nitesh V. Chawla, Hanqi Guo, Gökhan Sever, and Seung Hyun Kim. Exploring Time-Varying Multivariate Volume Data Using Matrix of Isosurface Similarity Maps. IEEE Transactions on Visualization and Computer Graphics (IEEE SciVis 2018) (CCF A), 25(1):1236-1245, Jan 2019.

- Jun Tao, Chaoli Wang, Nitesh V. Chawla, Lei Shi, and Seung Hyun Kim. Semantic Flow Graph: A Framework for Discovering Object Relationships in Flow Fields. IEEE Transactions on Visualization and Computer Graphics (CCF A), 24(12):3200-3213, Dec 2018.

- Jun Tao and Chaoli Wang. Semi-Automatic Generation of Stream Surfaces via Sketching. IEEE Transactions on Visualization and Computer Graphics (CCF A), 24(9):2622-2635, Sep 2018.

- Martin Imre, Jun Tao, and Chaoli Wang. Identifying Nearly Equally Spaced Isosurfaces for Volumetric Data Sets. Computer & Graphics, 72:82-97, May 2018.

- Jun Tao, Lei Shi, Zhou Zhuang, Congcong Huang, Rulei Yu, Purui Su, Chaoli Wang, and Yang Chen. Visual Analysis of Collective Anomalies Through High-Order Correlation Graph. Proceedings of IEEE Pacific Visualization Symposium, Kobe, Japan, Apr 2018.

- Jun Tao, Jian Xu, Chaoli Wang, and Nitesh V. Chawla. HoNVis: Visualizing and Exploring Higher-Order Networks. Proceedings of IEEE Pacific Visualization Symposium, Seoul, Korea, Apr 2017.

- Chao Huang, Dong Wang, Jun Tao, Brain Mann. On Physical-Social-Aware Localness Inference By Exploring Big Data from Location-Based Services. IEEE Transactions on Big Data, Accepted.

- Jun Tao and Chaoli Wang. A Sketch-Based Interface to Generate Stream Surfaces. Proceedings of ACM SIGGRAPH Asia Symposium on Visualization, Macao, China, pp. 14-1-14-8, Dec 2016.

- Chao Huang, Dong Wang, Jun Tao. An Unsupervised Approach to Inferring the Localness of People Using Incomplete Geotemporal Online Check-In Data. ACM Transactions on Intelligent Systems and Technology, 8(6): 80, Sep 2017.

- Chaoli Wang and Jun Tao. Graphs in Scientific Visualization: A Survey. Computer Graphics Forum (CCF B), 36(1):263-287, Jan 2017.

- Jun Tao, Xiaoke Huang, Feng Qiu, Chaoli Wang, Jingfeng Jiang, Ching-Kuang Shene, Ye Zhao, and Daphne Yu. VesselMap: A Web Interface to Explore Multivariate Vascular Data. Computers & Graphics, 59:79-92, Oct 2016.

- Jun Tao, Chaoli Wang, Ching-Kuang Shene, and Raymond A. Shaw. A Vocabulary Approach to Partial Streamline Matching and Exploratory Flow Visualization. IEEE Transactions on Visualization and Computer Graphics (CCF A), 22(5):1503-1516, May 2016.

- Jun Tao, Chaoli Wang, and Ching-Kuang Shene. FlowString: Partial Streamline Matching Using Shape Invariant Similarity Measure for Exploratory Flow Visualization. Proceedings of IEEE Pacific Visualization Symposium, Yokohama, Japan, pp.9–16, Mar 2014.

- Jun Tao, Chaoli Wang, Ching-Kuang Shene, and Seung Hyun Kim. A Deformation Framework for Focus+Context Flow Visualization. IEEE Transactions on Visualization and Computer Graphics (CCF A), 20(1):42–55, Jan 2014.

- Jun Tao, Jun Ma, Chaoli Wang, and Ching-Kuang Shene. A Unified Approach to Streamline Selection and Viewpoint Selection for 3D Flow Visualization. IEEE Transactions on Visualization and Computer Graphics (CCF A), 19(3):393–406, Mar 2013.^[1]