唐晖 Dr. Hui Tang

副研究员, 博士

AssociateResearch fellow, Ph.D.

联系方式(Contact):

Email:pt @szu.edu.cn

Tel: 0755－86716669

地址：深圳市南山区白石路深圳大学电子与信息工程学院N801

简介(Biography)：

唐晖于2011年获得华南理工大学城市规划工学学士学位，于2012年获得美国哥伦比亚大学建筑与城市设计理学硕士学位，于2019年获得美国普渡大学计算科学（视觉分析、信息可视化、人机交互方向）哲学博士学位。他的研究方向包括数据分析可视化，增强现实，有形、实体、可触知人机交互系统，以及建筑城市数据的深度学习等交叉学科领域。

Dr. Tang received his Bachelor of Engineering degree in City Planning from the School of Architecture at South China University of Technology in Guangzhou, China. Furthermore, he received a Master of Science degree in Architecture and Urban Design from the Graduate School of Architecture, Planning and Preservation at Columbia University in the City of New York, USA. He received his Doctor of Philosophy degree in Computational Science (Concentration in Visual Analytics and Human-Computer Interaction) from Purdue University, USA. His research interest covers interdisciplinary domains such as Information Visualization, Augmented Reality, Tangible Interaction System, and Deep Learning for Urban data.

研究兴趣(Research Interests)：

• 数据分析可视化、增强现实、可触知交互、深度学习等；

• Visual Analytics, Augmented Reality, Tangible Interaction, Deep Learning, etc.

学术成果(Publications):

期刊论文 (Journal Papers):

• Tang, H., Shuang, W., Zhou, Z., Qian, C.Z. & Chen, Y.V. (2019). TreeRoses: Outlier-Centric Monitoring and Analysis of Periodic Time Series Data. Journal of Visualization. (pp. 1-15). doi: 10.1007/s12650-019-00586-1
  

会议论文 (Conference Papers):

• Gao, G., Chen, Y., & Tang, H. (2018, July). How Users Distinguish Trees Within a Virtual Environment. In International Conference on Human-Computer Interaction (pp. 245-252). Springer, Cham. doi: 10.1007/978-3-319-92279-9_33

• Tang, H., Zhou, Z., Wei, S., Li, M., Liu,S., Wu, H., ... & Qian, Z. C. (2016, October). MetaCurve: A Method for Discovering Patterns, Identifying Anomalies, and Summarizing of Periodical Time Series Datasets. In 2016 IEEE Conference on Visual Analytics Science and Technology (VAST), Baltimore, USA. pp. 179-180, doi: 10.1109/VAST.2017.8585620

• Tang, H., Wu, W., Zhou, Z., Wang, S., Huang, A., Niu, Y., … & Qian, Z. C. (2017, October). WindNebula: Vectorial-Temporal Analysis for Environmental Assessment: VAST Challenge MC2 Award: Multi-challenge Award for Aesthetic Design. In 2017 IEEE Conference on Visual Analytics Science and Technology (VAST) (pp. 181-182). IEEE. doi: 10.1109/VAST.2017.8585631

• Tang, H., Pan, C., Yu, B., Du, W., Wei, S., Li, M., … & Li, X. (2015, October). [COMM] gregater: A toolset for temporal communication patterns and dynamic network structure. In 2015 IEEE Conference on Visual Analytics Science and Technology (VAST) (pp. 173-174). IEEE. doi: 10.1109/VAST.2015.7347666

获奖情况(Awards):

IEEE VIS 2017 VAST Challenge MC1, MC2, Phoenix, Oct 2017

• Multi-Challenge Award for Aesthetic Design

  WindNebula: Vectorial-Temporal Analysis for Environmental Assessment

• U.S. Department of Energy Sponsor’s Award

  WindNebula: Vectorial-Temporal Analysis for Environmental Assessment

• Multi-Challenge Award for Aesthetic Design

  ClockPetals: Interactive Sequential Analysis on Traffic Patterns

IEEE VIS 2016 VAST Challenge MC2, Baltimore, Oct 2016

• Honorable Mention for Quality Aesthetics

  MetaCurve: A Method for Discovering Patterns, Identifying Anomalies, and Summarizing of Periodical Time Series Datasets