教师名录
苏敬勇
通讯地址:深圳市南山区西丽大学城哈工大(深圳)信息楼L1501
电子邮件:sujingyong@hit.edu.cn
联系电话:

个人简介

苏敬勇,教授博导,分别于2006年和2008年获得哈尔滨工业大学仪器科学与技术专业本科和硕士学位,2013年博士毕业于佛罗里达州立大学统计系。之后任职于美国德州理工大学数学与统计系,担任助理教授和终身副教授。2018年被评为哈尔滨工业大学青年拔尖教授。主要从事为复杂的函数型数据(包括形状和图像)建立统计模型和算法。结合统计学、微分几何和优化算法解决计算机视觉、机器学习、医学图像分析、生物学等领域的具体问题。已在国际顶级期刊和会议(IEEE TPAMI,IJCV,CVPR,Annals of Applied Statistics)发表多篇论文,含ESI高被引论文。

课题组欢迎对我的研究方向感兴趣的青年,每年招收博士生2名,硕士生6名,博士后1名,博士后待遇优厚,年薪超过30万(RMB)。有兴趣者可email联系:sujingyong@hit.edu.cn

研究方向

1. 计算机视觉和模式识别
2. 大数据
3. 统计学习
4. 流形统计学
5. 函数型与形状数据分析
6. 图像分析

教育经历

2002.9-2006.8  哈尔滨工业大学 本科 测控技术与仪器
2006.9-2008.8  哈尔滨工业大学 硕士 仪器科学与技术
2008.9-2013.8  佛罗里达州立大学 博士 统计学

研究与工作经历

2013.9-2019.2  美国德州理工大学 助理教授 数学与统计系
2019.2-2019.8  美国德州理工大学 副教授 数学与统计系
2019.9-   哈尔滨工业大学(深圳) 教授 计算机科学与技术学院

专业资质与学术兼职

2008-  IEEE
2010-  AMS
2012-  IMS

科研项目

2015-2019  独立主持美国自然科学基金 NSF DMS
2012-2020  参与多项美国自然科学基金 NSF DMS
2019-2020  哈尔滨工业大学(深圳)科研启动经费

科研成果及奖励

2019  Departmental Service Award, Department of Mathematics & Statistics, Texas Tech University.
2016  Departmental Award for Excellence in Research, Department of Mathematics & Statistics, Texas Tech University.
2014  Best Scientific Paper Award by International Conference on Pattern Recognition.
2013  The R.A. Bradley Award, Department of Statistics, Florida State University
2013  Graduate Student Research and Creativity Award, Florida State University.
2012  NSF Travel Award, CVPR 2012 Doctoral Consortium.
2010-2019  NSF Travel Awards to SAMSI, MBI and SRCOS.

论文及著作

期刊代表作

Z. Zhang, J. Su, H. Le, E. Klassen and A. Srivastava 2018. Video-Based Action Recognition Using Rate-Invariant Analysis of Covariance Trajectories. Journal of Mathematical Imaging and Vision :1-18.

R. Anirudh, P. Turaga, J. Su and A. Srivastava 2017. Elastic Functional Coding of Riemannian Trajectories. IEEE Trans. Pattern Analysis and Machine Intelligence (TPAMI) 39 (5): 922-936.

F. Souza, S. Sarkar, J. Su and A. Srivastava 2017. Spatially Coherent Interpretations of Videos Using Pattern Theory. International Journal of Computer Vision 121 (1): 5-25.

B. B. Amor, J. Su and A. Srivastava 2016. Action Recognition Using Rate-Invariant Analysis of Skeletal Shape Trajectories. IEEE Trans. Pattern Analysis and Machine Intelligence (TPAMI) 38(1): 1-15.

F. Souza, S. Sarkar, A. Srivastava and J. Su 2016. Pattern Theory for Representation and Inference of Semantic Structures in Videos. Pattern Recognition Letters 72: 41-51.

J. Su, S. Kurtek, E. Klassen and A. Srivastava 2014. Statistical Analysis of Trajectories on Riemannian Manifolds: Bird Migration, Hurricane Tracking, and Video Surveillance. Annals of Applied Statistics 8(1): 530-552.

S. Kurtek, J. Su, C. Grimm, M. Vaughan, R. Sowell and A. Srivastava 2013. Statistical Analysis of Manual Segmentations of Structures in Medical Images. Computer Vision and Image Understanding 117(9): 1036-1050.

J. Su, F. Huffer and A. Srivastava 2013. Detection, Classification and Estimation of Individual Shapes in 2D and 3D Point Clouds. Computational Statistics and Data Analysis 58: 227-241.

J. Su, I. L. Dryden, E. Klassen, H. Le and A. Srivastava 2012. Fitting Smoothing Splines to Time-Indexed, Noisy Points on Nonlinear Manifolds. Journal of Image and Vision Computing 30(6-7): 428-442.

F. Yu, J. Su, Z. Lu, P. Huang and J. Pan 2008. Multi-feature Based Fire Detection in Video. International Journal of Innovative Computing, Information and Control 4(8): 1987-1993, 2008.


著作章节

S.H. Joshi, J. Su, Z. Zhang and B.A. Boulbaba 2016. Elastic Shape Analysis of Functions, Curves and Trajectories. Riemannian Computing in Computer Vision: 211-231.

J. Su and L. Tang 2014. Shape Estimation from 3D Point Clouds. Intelligent Data analysis and its Applications, Volume I - Advances in Intelligent Systems and Computing 297:39-46.

J. Su, S. Kurtek and A. Srivastava 2013. Joint Registration and Shape Analysis of Curves and Surfaces. Shape Perception in Human and Computer Vision 1(1): 213-224.

会议论文及发表演说

F. Souza, S. Sarkar, A. Srivastava and J. Su 2015. Temporally Coherent Interpretations for Long Videos Using Pattern Theory. IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

R. Anirudh, P. Turaga, A. Srivastava and J. Su 2015. Exploring the Latent Functional Space of Trajectories on Riemannian Manifolds with Applications to Human Actions. IEEE CVPR.

J. Su, A. Srivastava, F. Souza and S. Sarkar 2014. Rate-Invariant Analysis of Trajectories on Riemannian Manifolds with Application in Visual Speech Recognition. IEEE CVPR. Accepted as Oral (5.75% rate).

F. Souza, S. Sarkar, J. Su and A. Srivastava 2014. Pattern Theory-Based Interpretation of Activities. ICPR, Stockholm, Sweden, August 2014. Best Scientific Paper Award.

J. Su, Z. Zhu, A. Srivastava and F. Huffer 2010. Detection of Shapes in 2D Point Clouds Generated from Images. International Conference on Pattern Recognition, Istanbul, Turkey, August 2010. Accepted as Oral (18% rate).

J. Su, Z. Zhu, A. Srivastava and F. Huffer 2010. A Fully Statistical Framework for Shape Detection in Image Primitives. The 7th IEEE Workshop on Perceptual Organization in Computer Vision (POCV), San Francisco, California, June 2010.

任教和任导师经历

共指导博士生5名(3名毕业,2名在读),硕士生10余名。  
已教授6门研究生课程(应用回归分析、计算统计学、统计学习、形状分析等)和14门本科生课程(数理统计学,应用统计学等)。  
  
最后更新:2019-09-24 10:10:47