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研究领域

流形约束优化理论与几何分析、计算机视觉及其在医学图像中的应用、流形学习理论与应用

研究经历

2011.03至今        上海大学理学院数学系 副教授

2016.07               新加坡国立大学数学研究所 访问

2015.01-2015.02 奥地利维也纳大学薛定谔研究所 访问

2012.01-2013.01 北卡罗来纳大学教堂山分校医学院医学影像研究中心 博士后

2008.06-2011.02 上海大学理学院数学系 讲师

教育经历

2002.09-2008.06 西安交通大学理学院数学系 理学博士

1997.09-2001.07 西安交通大学机械工程学院 工学学士

1994.09-1997.07 浙江省金华第一中学

 

 

期刊论文

英文:

21. S. Ying, Z. Wen, J, Shi, Y. Peng*, J. Peng, H. Qiao, Manifold preserving: an intrinsic approach for semi-supervised distance metric learning, IEEE Transactions on Neural Network and Learning Systems. 2017. (Accept)

20. S. Ying, D. Li, B. Xiao, Y. Peng, S. Du, M. Xu, Nonlinear image registration with bidirectional metric and reciprocal regularization. PLoS One. 2017. (Accepted)

19. J. Shi, X. Zheng, Y. Li, Q. Zhang, S. Ying*, Multimodal Neuroimaging Feature Learning with Multimodal Stacked Deep Polynomial Networks for Diagnosis of Alzheimer's Disease. IEEE Journal of Biomedical and Health Informatics. 2017.(Accepted)

18. J. Shi, J. Wu, Y. Li, Q. Zhang, S. Ying*, Histopathological image classification with color pattern random binary hashing based PCANet and matrix-form classifier. IEEE Journal of Biomedical and Health Informatics. 2016 (Accepted).

17. S. Ying, H. Qin, Y. Peng, Z. Wen*, Compute Karcher means on SO(n) by the geometric conjugate gradient method. Neurocomputing. 215: 169–174, 2016.

16. Z. Wen, Z. Li, Y. Peng, S. Ying*, Virus image classification using multi-scale completed local binary pattern features extracted from filtered images by multi-scale principal component analysis. Pattern Recognition Letters. 79: 25–30, 2016.

15. S. Ying, Y. Wang, Z. Wen, Y. Lin*, Nonlinear 2D shape registration via thin-plate spline and Lie group representation. Neurocomputing. 195: 129–136, 2016.

14. G. Wu, X. Peng, S. Ying, Q. Wang, P. Yap, D. Shen, eHUGS: Enhanced Hierarchical Unbiased Graph Shrinkage for Efficient Groupwise Registration. PLOS One. 11(1): e0146870, 2016.

13. J. Shi, X. Liu, Y. Li, Q. Zhang, Y. Li, S. Ying*, Multi-channel EEG based sleep stage classification with joint collaborative representation and multiple kernel learning. Journal of Neuroscience Methods. 254:94–101, 2015.

12. Z. Wen, J. Cao, X. Liu, S. Ying, Fabric defects detection using adaptive wavelets, International Journal of Clothing Science and Technology. 26(3): 2-2, 2014.

11. J. Dong, Y. Peng, S. Ying, Z. Hu, LieTrICP: an improvement of trimmed iterative closest point algorithm, Neurocomputing. 140: 67-76, 2014.

10. S. Ying, G. Wu, Q. Wang, D. Shen, Hierarchical unbiased graph shrinkage (HUGS): a novel groupwise registration for large data set, NeuroImage. 84(1): 626-638, 2014.

9. Y. Peng, S. Ying, J. Qin, T. Zeng. Trimmed strategy for affine registration of point sets, Journal of Applied Remote Sensing, 7(1), 073468, 2013.

8. Y. Peng, W. Lin, S. Ying*, J. Peng, Soft shape registration under Lie group frame, IET Computer Vision, 7(6): 437-447, 2013.

7. S. Ying*, Y. Peng, Z. Wen. Iwasawa Decomposition: A new approach to 2D affine registration problem. Pattern Analysis and Applications. 14(2): 127-137, 2011.

6. S. Ying*, H. Qiao. Lie group method: A new approach to image matching with arbitrary orientations. International Journal of Imaging Systems and Technology. 20(3): 245-252, 2010.

5. S. Du, N. Zheng, S. Ying., J. Liu. Affine iterative closest point algorithm for point set registration. Pattern Recognition Letter. 31(9): 791-799, 2010.

4. S. Du, N. Zheng, L. Xiong, S. Ying, J. Xue, Scaling iterative closest point algorithm for registration of m-D point sets. Journal of Visual Communication and Image Representation. 21(5-6): 442-452, 2010.
(Most Cited Journal of Visual Communication and Image Representation Articles from 2010 in 2015)

3S. Ying, J. Peng, S. Du, H. Qiao. Lie group framework of iterative closest point algorithm for n-D data registration. International Journal of Pattern Recognition and Artificial Intelligence. 23(6): 1201-1220, 2009.

2. K. Zheng, J. Peng, S. Ying. A new approach to weighted graph matching. IEICE Transactions on Information and Systems. E92(8): 1580-1583. 2009.

1. S. Ying*, J. Peng, S. Du, H. Qiao. A scale stretch method based on ICP for 3D data registration. IEEE Transactions on Automation Science and Engineering. 6(3): 559-565, 2009. 

中文:

2. 彭亚新,陈飒飒,沈超敏,应时辉*. 求解图像分割CV模型的BB算法. 运筹学学报. 18(3): 79-87, 2014.

1. 应时辉*,彭济根,郑开杰,乔红. 含各向异性尺度形变的数据集匹配问题的Lie群方法. 自动化学报. 35(7): 867-874, 2009.

 

会议论文

6S. Ying, G. Wu, Q. Wang, D. Shen, Groupwise registration via graph shrinkage on the image manifold, IEEE Conferences on Computer Vision and Pattern Recognition (CVPR), Portland, Oregon, USA, June 25-27, 2013.

5S. Ying, G. Wu, S. Liao, D. Shen, Inter-group image registration by hierarchical graph shrinkage, ISBI 2013, San Francisco, California, USA, Apr. 7-11, 2013. (Oral)

4. C. Shao, C. Shen, Y. Peng, S. Ying*, Lie-EM-ICP algorithm: a novel frame for 2D shape registration, SPIE Asia-Pacific Remote Sensing, 85260B-85260B-8, 2012.

3. Y. Peng, W. Lin, C. Shen, S. Ying*, A novel statistical method for 3D range data registration based on Lie group framework, SPIE Asia-Pacific Remote Sensing, 85270G-85270G-6, 2012.

2. S. Du, N. Zheng, S. Ying, Q. You, Y. Wu. An extension of the ICP algorithm considering scale factor. IEEE International Conference on Image Processing,5:193-196, 2007.

1. S. Du, N. Zheng, S. Ying, J. Wei. ICP with bounded scale for registration of m-D point sets. IEEE International Conference on Multimedia and Expo. 1291-1294, 2007. (Best Student Awards)
 

 

 

 

主持:

3. 国家自然科学基金(11471208):大脑影像标准化的优化模型与算法研究,2015.01-2018.12

2. 教育部博士点基金新教师基金(20103108120001):非刚性数据集配准问题的Lie群方法研究,2011.01-2013.12

1. 国家自然科学基金青年基金(61005002):数据集配准问题的 Lie 群方法研究及其应用,2011.01-2013.12

 

 

微积分、线性代数、微分几何、泛函分析、运筹与优化、最优控制、数学物理方程、计算机图形学

图像处理中的数学方法、最优化理论与方法

 

 

在读学生

硕士:

金  蕾(2017)、蔡丽鹏(2016)、连自建(2016)、张晓芳(2015)、李  丹(2014)

毕业学生

硕士:

王远伟(2016):半监督距离度量学习的内蕴算法研究

秦    汉(2015):基于薄板样条和李群表征的非刚性形状配准方法研究

冯    帆(2014):高频期货数据的量化交易策略研究

邵春晓(2013):基于李群框架的形状软配准方法研究

邓君兰(2012):基于GAC模型的图像分割快速算法研究

 

 

 

IEEE会员

Editor:

 Journal of Mathematics and Statistics 2015年至今
        Journal of Computer Science and Software Development 2015年至今
        JSM Mathematics and Statistics 2013年至今

Guest Editor:

Neural Processing Letters (2017) SI: NN and Learning Methods for 3D Multimedia Semantic Analysis

Multimedia Tools and Applications (2015)  SI: Computation and Visualization for 3D Data

Conference:

12th World Congress on Intelligent Control and Automation (WCICA 2016)  PC member

Reviewer:

 IEEE Transactions on Evolutionary Computation
        IEEE Transactions on System, Man and Cybernetics Part B / Cybernetics
        IEEE Transactions on Image Processing
        Pattern Recognition / Pattern Recognition Letters
        IET Computer Vision / Image Processing / Signal Processing
        Neurocomputing
        The Visual Computer
        Applied Mathematics Letters
        Applied Mathematics and Mechanics
        Plos One
        自动化学报 等 期刊审稿人