基本信息
向世明 男 博导 自动化研究所

电子邮件：smxiang@nlpr.ia.ac.cn
通信地址：中科院自动化所 模式识别国家重点实验室，北京市中关村东路95号
邮政编码：100190
新主页：http://www.escience.cn/people/smxiang
部门/实验室：模式识别国家重点实验室
研究领域
模式识别、机器学习、数据挖掘、计算机视觉、图像处理

请见我的新主页(更即时更漂亮)：
http://www.escience.cn/people/smxiang


招生信息感兴趣的研究方向：　
(1) 模式识别、机器学习、数据挖掘
(2) 图像处理、计算机视觉
(3) 物理空间与网络空间的协同学习 (多媒体计算方向)
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博士、硕士招生专业：　模式识别与智能系统
博士、硕士招生方向：　(1) 模式识别基础理论与方法、(2) 图像处理
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招收相关专业的博士后研究人员！
招收相关专业的实习学生！

联系方式：
邮箱： smxiang@nlpr.ia.ac.cn (smxiang at nlpr dot ia dot ac dot cn)
地址： 北京市中关村东路95号 中科院自动化所 模式识别国家重点实验室
邮编： 100190


教授课程 模式识别
教学活动课程名称：　模式识别
授课对象：　自动化所博士研究生
主讲教授：　刘成林研究员
辅讲内容：　半监督学习、概率图模型及MRF、距离度量学习、支持向量机、神经网络、深度学习等　

专利与奖励
奖励信息
专利成果

出版信息
请见我的新主页：
http://www.escience.cn/people/smxiang
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目前发表论文80多篇，其中部分工作发表在 T-PAMI、T-IP、T-KDE、T-NNLS、T-SMC-B、T-MM、T-CSVT, T-GRS、PR、KAIS、Neurocomputing、Neural Processing Letters、Neural Computing and Applications、Pattern Analysis & Applications、IJCAI、AAAI、 ECML、ECCV等杂志或会议上。 曾以第一作者在清华大学出版社、电子工业出版社出版计算机图形和图像处理相关图书三部。
近期部分论文如下：
1. Shiming Xiang, Feiping Nie, Gaofeng Meng, Chunhong Pan, and Changshui Zhang. Discriminative Least Squares Regression for Multiclass Classification and Feature Selection. IEEE Transactions on Neural Netwrok and Learning System (T-NNLS), 23(11), pp. 1738-1754, 2012.
2. Shiming Xiang, Gaofeng Meng, Ying Wang, Chunhong Pan, Changshui Zhang. Image deblurring with matrix regression and gradient evolution. Pattern Recognition, 45(6), pp. 2164-2179,2012.
3. Shiming Xiang, Chunhong Pan, Feiping Nie, Changshui Zhang. Interactive Image Segmentation With Multiple Linear Reconstructions in Windows. IEEE Transactions on Multimedia (T-MM), 13(2), pp. 342-352,2011.
4. Shiming Xiang, Feiping Nie, Chunhong Pan, Changshui Zhang. Regression Reformulations of LLE and LTSA With Locally Linear Transformation. IEEE Transactions on Systems, Man, and Cybernetics, Part B (T-SMC-B), 41(5), pp. 1250-1262,2011.
5. Shiming Xiang, Feiping Nie, Changshui Zhang. Semi-Supervised Classification via Local Spline Regression. IEEE Trans. Pattern Anal. Mach. Intell. (T-PAMI),32(11), pp. 2039-2053, 2010.
6. Shiming Xiang, Chunhong Pan, Feiping Nie, Changshui Zhang. TurboPixel Segmentation Using Eigen-Images. IEEE Transactions on Image Processing (T-IP), 19(11), pp. 3024-3034,2010.
7. Shiming Xiang, Feiping Nie, Changshui Zhang, Chunxia Zhang. Nonlinear Dimensionality Reduction with Local Spline Embedding. IEEE Trans. Knowl. Data Eng. (T-KDE),21(9), pp. 1285-1298, 2009.
8. Shiming Xiang, Feiping Nie, Chunxia Zhang, Changshui Zhang. Interactive Natural Image Segmentation via Spline Regression. IEEE Transactions on Image Processing (T-IP), 18(7), pp. 1623-1632,2009.
9. Shiming Xiang, Feiping Nie, Yangqiu Song, Changshui Zhang, Chunxia Zhang. Embedding new data points for manifold learning via coordinate propagation. Knowledge and Information Systems, 19(2), pp. 159-184,2009.　(获PAKDD 2007 最佳论文提名奖, 3/126 accepted papers, 3/730 submissions)
10. Shiming Xiang, Feiping Nie, Changshui Zhang. Learning a Mahalanobis distance metric for data clustering and classification. Pattern Recognition, 41(12), pp. 3600-3612,2008. (引用次数超过100次)

11. Shiming Xiang, Feiping Nie, Yangqiu Song, Changshui Zhang. Contour graph based human tracking and action sequence recognition. Pattern Recognition, 41(12), pp. 3653-3664,2008.
12. Lingfeng Wang, Shiming Xiang, Gaofeng Meng, and Chunhong Pan. Edge-directed Single Image Super-resolution via Adaptive Gradient Magnitude Self-interpolation, IEEE Transactions on Circuits and Systems for Video Technology (T-CSVT).Accepted.
13. Gaofeng Meng, Shiming Xiang, Nanning Zheng, and Chunhong Pan. Non-parametric Illumination Correction for Scanned Document Images via Convex Hulls. IEEE Trans. IEEE Trans. Pattern Anal. Mach. Intell. (T-PAMI). Accepted, 2012.
14. Jun Bai, Shiming Xiang, Chunhong Pan. A Graph Based Classification Method for Hyperspectral Images. IEEE Transactions on Geoscience and Remote Sensing (T-GRS). Accepted, 2012.
15. Gaofeng Meng, Chunhong Pan, Shiming Xiang, Jiangyong Duan. Metric Rectification of Curved Document Images. IEEE Trans. Pattern Anal. Mach. Intell. (T-PAMI), 34(4), pp. 707-722,2012.
16. Feiping Nie, Shiming Xiang, Yun Liu, Chenping Hou, Changshui Zhang. Orthogonal vs. uncorrelated least squares discriminant analysis for feature extraction. Pattern Recognition Letters, 33(5), pp. 485-491,2012.
17. Feiping Nie, Dong Xu, Xuelong Li, Shiming Xiang. Semisupervised Dimensionality Reduction and Classification Through Virtual Label Regression. IEEE Transactions on Systems, Man, and Cybernetics, Part B (T-SMC-B), 41(3), pp. 675-685,2011.
18. Feiping Nie, Shiming Xiang, Yun Liu, Changshui Zhang. A general graph-based semi-supervised learning with novel class discovery. Neural Computing and Applications, 19(4), pp. 549-555,2010.
19. Changshui Zhang, Feiping Nie, Shiming Xiang. A general kernelization framework for learning algorithms based on kernel PCA. Neurocomputing, 73(4-6), pp. 959-967,2010.
20. Changshui Zhang, Feiping Nie, Shiming Xiang, Chenping Hou. Soft Constraint Harmonic Energy Minimization for Transductive Learning and its Two Interpretations. Neural Processing Letters, 30(2), pp. 89-102,2009.
21. Yangqiu Song, Changshui Zhang, Jianguo Lee, Fei Wang, Shiming Xiang, Dan Zhang. Semi-supervised discriminative classification with application to tumorous tissues segmentation of MR brain images. Pattern Anal. Appl., 12(2), pp. 99-115,2009.
22. Feiping Nie, Shiming Xiang, Yangqiu Song, Changshui Zhang. Extracting the optimal dimensionality for local tensor discriminant analysis. Pattern Recognition, 42(1), pp. 105-114,2009.
23. Feiping Nie, Shiming Xiang, Yangqing Jia, Changshui Zhang. Semi-supervised orthogonal discriminant analysis via label propagation. Pattern Recognition, 42(11),pp. 2615-2627,2009.
24. Yangqiu Song, Feiping Nie, Changshui Zhang, Shiming Xiang. A unified framework for semi-supervised dimensionality reduction. Pattern Recognition, 41(9), pp.2789-2799,2008.
25. Huxiang Gu, Ying Wang, Shiming Xiang, Gaofeng Meng, Chunhong Pan. Image Guided Tone Mapping with Locally Nonlinear Model, ECCV, 2012. Accepted
26. Yi Yang, Feiping Nie, Shiming Xiang, Yueting Zhuang, Wenhua Wang. Local and Global Regressive Mapping for Manifold Learning with Out-of-Sample Extrapolation. AAAI, pp. 2010.
27. Yan-Ming Zhang, Xinwen Hou, Shiming Xiang, Cheng-Lin Liu. Subspace Regularization. A New Semi-supervised Learning Method. ECML/PKDD, vol. 2, pp.586-601, 2009.
28. Feiping Nie, Shiming Xiang, Yangqing Jia, Changshui Zhang, Shuicheng Yan. Trace Ratio Criterion for Feature Selection. AAAI, 2008, pp. 671-676
29. Feiping Nie, Shiming Xiang, Changshui Zhang. Neighborhood MinMax Projections. IJCAI, 2007, pp. 993-998
30. Shiming Xiang, Feiping Nie, Changshui Zhang, Chunxia Zhang. Spline Embedding for Nonlinear Dimensionality Reduction. ECML, 2006, pp. 825-832



科研活动
科研项目 （1） 城市植被多种数据源信息的三维精细重建与大规模真实感快速呈现，参与，国家级，2014-01--2018-12
（2） 结构化判别字典学习及其应用研究，主持，国家级，2013-01--2016-12
（3） 二元空间的协同互动感知(子课题），主持，国家级，2012-01--2016-12


合作情况
项目协作单位　　清华大学