姓名：苏敬勇

任职：计算机科学与技术学院 教授，博导

通讯地址：深圳市南山区深圳大学城哈工大校区信息楼1501，邮编518055

电话：+86-755-86011630

E-mail：sujingyong@hit.edu.cn

研究工作简介

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，ESI高被引学者。

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）。有兴趣者可邮件联系。

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

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.

会议论文代表作

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).