陶钧

所属研究所、院系: 
数据科学与计算机学院
职称: 
副教授
E-mail: 
taoj23@mail.sysu.edu.cn
办公地点: 
超算中心 425D
教师简介: 

陶钧,2018年9月起担任中山大学数据科学与计算机学院副教授,博士生导师,入选中山大学“百人计划”。其于2015年获得密歇根理工大学计算机科学专业哲学博士学位,2015年至2018年于圣母大学计算机科学与工程系任博士后研究员。其主要研究方向包括:科学可视化,尤其是信息论,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;对图像数据集和对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。成果发表于IEEE Transactions on Visualization and Computer Graphics, Computer Graphics Forum, ACM Transactions on Intelligent System and Technology, ACM Transactions on Big Data, Computer Graphics and Application, Computers and Graphics等国际高水平期刊,以及IEEE Visualization Conference, IEEE Pacific Visualization Symposium, ACM SIGCSE, IEEE IEEE International Conference on Big Data等国际高水平会议上。其中包括过去5年内在可视化领域顶级期刊TVCG (CCF A)上发表文章8篇。

欢迎有意报考中山大学的硕士生和博士生与我联系,也欢迎对分析、理解、展示数据抱有热情的各年级本科同学加入实验室。

研究领域: 

科学可视化、可视分析、软件可视化。

教育背景: 

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

工作经历: 

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

代表性论著: 

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.