教师名录
徐勇
通讯地址:深圳市南山区西丽深圳大学城哈工大校区G622办公室
电子邮件:yongxu@ymail.com; laterfall@hit.edu.cn
联系电话:+86-755-26032458

个人简介

现为哈尔滨工业大学深圳研究生院教授、博士生导师。主要研究方向为模式识别、生物特征识别、图象处理、深度学习、生物信息学;为2014年度黑龙江省自然科学二等奖获得者,2008年度教育部新世纪优秀人才获得者,广东省“特支计划人才”,深圳市鹏城学者,深圳高层次人才地方级人才;已获得省部级科技进步奖两项,已主持包括国家自然科学基金在内的国家级项目三项、省市级项目两项。出版学术专著三部、译著两部;发表SCI检索论文100余篇,近年连续入选爱思唯尔发布的中国高被引论文。担任的社会兼职包括IEEE高级会员、IEEE SMC TC on Biometrics and Applications 共同主席、国际学术期刊《International Journal of Image and Graphics》主编、多个国际学术期刊(IEEE Transactions on Cybernetics, Patten Recognition, Neurocomputing,International Journal of Pattern Recognition and Artificial Intelligence等)审稿人,多个国际会议论文审阅人。

个人主页:http://www.yongxu.org/

研究方向

模式识别,生物特征识别,图像处理,视频分析,机器学习

教育经历

2001-2004   获工学博士学位(模式识别与智能系统), 南京理工大学


1994-1997   获理学硕士学位(天气动力学), 中国人民解放军空军气象学院

1990-1994   获理学学士学位(天气动力学), 中国人民解放军空军气象学院

研究与工作经历

2011-   教授,哈工大深圳研究生院机计算机科学与技术学院
2008-  博导,哈工大深圳研究生院机计算机科学与技术学院
2007-2010  副教授,哈工大深圳研究生院机计算机科学与技术学院

专业资质与学术兼职

2017-  主编,《International Journal of Image & Graphics》杂志,新加坡
2011-  会员,计算机学会

科研项目

2011-2013   国家自然科学基金面上项目:基于图像描述的识别方法设计与实验验证(61071179)
2011-2013  深圳市基础研究计划之杰青项目:图像识别关键技术及银行智能运动分析与身份识别系统研制
2010-2011  智能视频分析算法开发(横向)
2008-2010  多生物特征识别(教育部新世纪优秀人才项目)
2007-2009  国家自然科学基金青年基金:应用于特征抽取的一类非线性方法的快速模型设计(60602038)

科研成果及奖励

2014  黑龙江省自然科学二等奖(排名第一)
2011  青年科学之星(信息领域)
2011  深圳市自然科学奖
2007  江苏省科技进步一等奖

发明专利

一种具有活体检测功能的双模态人脸认证方法和系统,专利号: ZL201010519964.92012,发明人:徐勇,文嘉俊,徐佳杰,杨治银

一种视频监测方法、系统及视频监测报警系统,专利号: ZL 201010294119.6,发明人:徐勇

论文及著作

学术专著:

1.徐勇,范自柱,张大鹏,基于稀疏算法的人脸识别,国防工业出版社,2014
2.David Zhang, Yong Xu, Wangmeng Zuo, Discriminative learning in Biometrics, Springer, 2016
3.David Zhang, Fengxi Song, Yong Xu, Zhizhen Liang, Advanced Pattern Recognition Technologies with Applications to Biometrics, Press: IGI Global, 2008
4.徐勇,张大鹏,杨健,模式识别中的核方法及其应用,北京:国防工业出版社,2010



论文发表目录节选
1. Z. Lai, WK. Wong, Y. Xu, J. Yang, D. Zhang, Approximate orthogonal sparse embedding for dimensionality reduction, IEEE Transactions on Neural Networks and Learning Systems,27(4),723-735,2016(SCI)

2. X. Fang, Y. Xu, X. Li, Z. Lai, W.K. Wong, Learning a non-negative sparse graph for linear regression, IEEE Transactions on Image Processing. 24(9),2760-2771,2015 (SCI)

3. Y. Xu, X. Li, J. Yang, Z. Lai, D. Zhang,Integrating conventional and inverse representation for face recognition, IEEE Transactions on Cybernetics, 44(10), 1738-1746, 2014 (SCI)

4. Y. Xu, X. Fang, X. Li, J. Yang, J. You, H. Liu, S. Teng, Data uncertainty in face recognition, IEEE Transactions on Cybernetics, 44(10), 1950-1961,2014

5. Z. Lai, Y. Xu, Q. Chen, J. Yang, D. Zhang, Multilinear Sparse Principal Component Analysis,IEEE Transactions on Neural Networks and Learning Systems,25(10), 2014 (SCI)

6. J. Wen, Y. Xu, J. Tang, Y. Zhan, Z. Lai, X. Guo, Joint video frame set division and low-rank decomposition for background subtraction, IEEE Transactions on Circuits and Systems for Video Technology, DOI:10.1109/TCSVT.2014.2333132.

7. Z. Fan, Y. Xu, W. Zuo, J. Yang, J. Tang, Z. Lai, D. Zhang, Modified Principal Component Analysis: An Integration of Multiple Similarity Subspace Models. IEEE Transaction on neural network and learning systems, 25(8),1538-1552,2014 (SCI)

8. Z. Lai, W.K. Wong, Y. Xu, C. Zhao, M. Sun, Sparse Alignment for Robust Tensor Learning, IEEE Transactions on Neural Networks and Learning Systems, 25(10), 1779-1792, 2014(SCI)

9. Z. Lai, Y. Xu, Z. Jin, D. Zhang, Human Gait Recognition via Sparse Discriminant Projection Learning, IEEE Transactions on Circuits and Systems for Video Technology,24(10), 1651-1662,2014 (SCI)

10. J.-X. Liu, Y.-L. Gao, Y. Xu, C.-H. Zheng, J. You, Differential Expression Analysis on RNA-Seq Count Data Based on Penalized Matrix Decomposition,IEEE TRANSACTIONS ON NANOBIOSCIENCE, 13(1),12-18, 2014

11. Y. Xu, X. Fang, Q. Zhu, Y. Chen, J. You, H. Liu, Modified minimum squared error algorithm for robust classification and face recognition experiments, Neurocomputing,135,253-261,2014
X. Fang, Y. Xu, X. Li, Z. Fan, H. Liu, Y. Chen, Locality and similarity preserving embedding for feature selection, Neurocomputing, 128, 304-315, 2014

12. Y. Xu, X. Li, J. Yang, D. Zhang,Integrate the original face image and its mirror image for face recognition, Neurocomputing, 131,191-199,2014 (SCI)
F. Chen, Y. Xu, D. Zhang,A New Hypothesis on Facial Beauty Perception, ACM Transactions on Applied Perception, 11(2), 2014

13. Y. Xu, X. Zhu, Z. Li, G. Liu, Y. Lu, H. Liu, Using the original and ‘symmetrical face’ training samples to perform representation based two-step face recognition, Pattern Recognition, 46(4), 1151-1158, 2013 (SCI)

14. Y. Xu, Q. Zhu, Z. Fan, D. Zhang, J. Mi, Z. Lai, Using the idea of the sparse representation to perform coarse to fine face recognition, Information Sciences, 238(20), 138-148, 2013 (SCI)

15. Z. Lai, Y. Xu, J. Yang, J. Tang, D. Zhang, Sparse Tensor Discriminant Analysis, IEEE Transactions on Image Processing, 22(10), 3904-3915, 2013

16. J. Yang, D. Chu, L. Zhang, Y. Xu, J.-Y. Yang, Sparse Representation Classifier Steered Discriminative Projection With Applications to Face Recognition, IEEE Transactions on Neural Networks and Learning Systems, 24(7), 1023-1035, 2013 (SCI)

17. J. Qian, J. Yang, Y. Xu, Local Structure-based Image Decomposition for Feature Extraction with Applications to Face Recognition,IEEE Transactions on Image Processing, 22(9), 3591-3603,2013 (SCI)

18. J.-X. Liu, Y.-T. Wang, C.-H. Zheng, W. Sha, J.-X. Mi, Y. Xu, Robust PCA based method for discovering differentially expressed genes, BMC Bioinformatics, 14(Suppl8),2013 (SCI)

19. Y. Xu, Q. Zhu, Z. Fan, M. Qiu, Y. Chen, H. Liu, Coarse to fine K nearest neighbor classifier, Pattern Recognition Letters, 34(9), 980-986, 2013 (SCI)

20. Y. Xu, Q. Zhu, Z. Fan, Y. Wang, J.-S. Pan, From the idea of ”sparse representation” to a representation-based transformation method for feature extraction, Neurocomputing,113, 168-176,2013 (SCI)

21. Y. Xu, Q. Zhu, Y. Chen, J.-S. Pan, An improvement to the nearest neighbor classifier and face recognition experiments, International Journal of Innovative Computing, Information and Control, 9(2), 543-554, 2013

22. Y. Xu, Q. Zhu, A simple and fast representation-based face recognition method, Neural Computing and Applications,22(7-8), 1543-1549, 2013

23. R. Cheng, Y. Zhao, Z. Li, W. Jiang, X. Wang, Y. Xu, Panorama parking assistant system with improved particle swarm optimization method, Joumal of Electronic Imaging, 22(4), 2013

24. L. He, Y. Xu, Y.C, J. Wen, Recent Advance on Mean Shift Tracking: A Survey. International Journal of Image and Graphics, 13(3),2013

25. Y. Xu, Quaternion-Based Discriminant Analysis Method for Color Face Recognition, PLoS ONE, 7(8): e43493,2012(SCI)

26. Z. Lai, W.K. Wang, Z. Jin, J. Yang, Y. Xu, Sparse Approximation to the Eigensubspace for Discrimination. IEEE Transactions on Neural Networks and Learning Systems, 23(12), 1948-1960, 2012 (SCI)

27. J. Wang, J. You, Q. Li, Y. Xu, Orthogonal discriminant vector for face recognition across pose, Pattern Recognition, 45(12), 4069-4079, 2012 (SCI)

28. Y. Xu, Z. Fan, Q. Zhu, Feature space-based human face image representation and recognition, Optical Engineering,51(1), 017205, 2012 (SCI)

29. Y. Xu, Q. Zhu, J. Wang, Breast cancer diagnosis based on a kernel orthogonal transform, Neural Computing and Applications, 21(8), 1865–1870, 2012 (SCI)

30. J. Yang, L. Zhang, Y. Xu, J.-Y. Yang, Beyond sparsity: The role of L1-optimizer in pattern classification, Pattern Recognition, 45(3), 1104–1118, 2012 (SCI)

31. Z. Xie, Y. Xu, Q. Hu, P. Zhu, Margin distribution based bagging pruning, Neurocomputing, 85, 11–19, 2012(SCI)

32. J.-X. Liu, C.-H. Zheng, Y. Xu, Extracting plants core genes responding to abiotic stresses by penalizedmatrix decomposition, Computers in Biology and Medicine,42(5),582-589, 2012 (SCI)

33. J. Wang, J. You, Q. Li, Y. Xu, Extract minimum positive and maximum negative features for imbalanced binary classification, Pattern Recognition, 45(3), 1136–1145, 2012 (SCI)

34. F. Song, J. You, D. Zhang, Y. Xu, Impact of full rank principal component analysis on classification algorithms for face recognition, International Journal of Pattern Recognition and Artificial Intelligence, 26(3), 2012, (SCI)

35. Y. Xu, X. Zhu, B. Xie, Method design of small-scale fire detection, Journal of Computational Information Systems, 8(17), 7355-7365, 2012

36. Yong Xu, Wangmeng Zuo, Zizhu Fan, Supervised sparse representation method with a heuristic strategy and face recognition experiments, Neurocomputing,79,125-131, 2012 (SCI)

37. Y. Xu, D. Zhang, J. Yang, J.-Y. Yang, A two-phase test sample sparse representation method for use with face recognition, IEEE Transactions on Circuits and Systems for Video Technology, 21(9), 1255-1262, 2011 (SCI)

38. Z. Fan, Y. Xu, D. Zhang, Local linear discriminant analysis framework using sample neighbors, IEEE Transactions on Neural Networks. 22(7),1119-1132, 2011 (SCI)

39. Y. Xu, D. Zhang, J. Yang, Z. Jin, J.-Y. Yang, Evaluate dissimilarity of samples in feature space for improving KPCA, International Journal of Information Technology & Decision Making, 10(3), 479-495, 2011 (SCI)

40. Y. Xu, Q. Zhu, D. Zhang, Combine crossing matching scores with conventional matching scores for bimodal biometrics and face and palmprint recognition experiments, Neurocomputing, 74(18), 3946-3952, 2011 (SCI)

41. Y. Xu, A. Zhong, J.Yang, D. Zhang, Bimodal biometrics based on a representation and recognition approach, Optical Engineering, 50(3), 037202, 2011, (SCI)

42. Y. Xu, D. Zhang, Accelerating the kernel-method-based feature extraction procedure from the viewpoint of numerical approximation, Neural Computing and Applications, 20(7), 1087-1096, 2011 (SCI)

43. Z. Li, D. Zhang, Y. Xu, C. Liu, Modified local entropy-based transition region extraction and thresholding, Applied Soft Computing,11(8), 5630-5638,2011

44. G.-H. Liu, Z.-Y. Li, L. Zhang, Y. Xu, Image retrieval based on micro-structure descriptor, Pattern Recognition, 44(9), 2123-2133, 2011 (SCI)

45. Y. Xu, A. Zhong, J. Yang, D. Zhang, LPP solution schemes for use with face recognition, Pattern Recognition, 43(12),4165-4176,2010(SCI)

46. Y. Xu, D. Zhang, J.-Y. Yang, A feature extraction method for use with bimodal biometrics, Pattern recognition, 43(3), 1106-1115, 2010 (SCI)

47. Y. Xu, C. Lin, W. Zhao, Producing computationally efficient KPCA-based feature extraction for classification problems, Electronics letters, 46(6), 452-453, 2010 (SCI)

48. Y. Xu, D. Zhang, Represent and fuse bimodal biometric images at the feature level: complex-matrix-based fusion scheme, Optical Engineering, 49(3), 037002, 2010 (SCI)

49. Y. Xu, F. Song, G. Feng, Y. Zhao, A novel local preserving projection scheme for use with face recognition, Expert System with Applications, 37(9), 6718-6721,2010 (SCI)

50. J. Wang, Y. Xu, D. Zhang, J. You, An efficient method for computing orthogonal discriminant vectors, NeuroComputing, 73(10-12), 2168-2176,2010,(SCI)

51. Y. Xu, G. Feng, Y. Zhao, One improvement to two-dimensional locality preserving projection method for use with face recognition, Neurocomputing, 73(1-3), 245-249, 2009 (SCI)

52. Y. Xu, L. Yao, D. Zhang, J.-Y. Yang, Improving the interest operator for face recognition, Expert System with Applications, 36(6), 9719-9728, 2009 (SCI)

53. Y. Xu, A new kernel MSE algorithm for constructing efficient classification procedure, International Journal of Innovative Computing, Information and Control, 5(8), 2439-2447, 2009 (SCI)

54. S. Chen, W. Zhao, Y. Xu, New criteria for globally exponential stability of delayed Cohen-Grossberg neural network. Mathematics and Computers in Simulation, 79(5), 1527-1543, 2009 (SCI)

55. Yong Xu, Lu Yao, David Zhang, Jing-Yu Yang, Improving the interest operator for face recognition, Expert System with Applications, 36(6) 9719-9728, 2009 (SCI)

56. Yong Xu, A new kernel MSE algorithm for constructing efficient classification procedure, International Journal of Innovative Computing, Information and Control, 5(8), pp.2439-2447, 2009 (SCI)

57. Y. Xu, D. Zhang, J. Yang, J.-Y. Yang, An approach for directly extracting features from matrix data and its application in face recognition, NeuroComputing,71(10-12),1857-1865, 2008(SCI)

58. Y. Xu, F. Song, Feature extraction based on a linear separability criterion, International Journal of Innovative Computing, Information and Control, 4(4), 857-865,2008 (SCI)

59. Y. Xu, D. Zhang , F. Song, J.-Y. Yang, Z. Jing, M. Li, A method for speeding up feature extraction based on KPCA,Neurocomputing, 70(4-6), 1056-1061, 2007 (SCI)

60. F. Song, D. Zhang, Y. Xu, J. Wang, Five new feature selection metrics in text categorization, International Journal of Pattern Recognition and Artificial Intelligence, 21(6), 1085 – 1101, 2007. (SCI)

61. Y. Xu, D. Zhang, Z. Jin, M. Li, J.-Y. Yang, A fast kernel-based nonlinear discriminant analysis for multi-class problems, Pattern Recognition, 39(6), 1026-1033,2006 (SCI)

62. Y. Xu, Z. Jin , J.-Y. Yang, Z. Tang, Y. Zhao, Analysis and Experiments on Two Linear Discriminant Analysis Methods, Engineering Science, 4(3),37-47,2006

63. J. Yang, D. Zhang, Y. Xu, J.-Y. Yang, Two-dimensional Discriminant Transform for Face Recognition, Pattern Recognition, 38(7), 1125–1129, 2005 (SCI)

64. Y. Xu, J.-Y. Yang, Z. Jin, A novel method for Fisher discriminant Analysis, Pattern Recognition, 37 (2), 381-384, 2004 (SCI)

65. Y. Xu, J.-Y. Yang, J. Yang, A reformative kernel Fisher discriminant analysis, Pattern Recognition, 37 (6), 1299-1302, 2004 (SCI)

66. Y. Xu, J.-Y. Yang, J. Lu, D.-J. Yu. An efficient renovation on kernel Fisher discriminant analysis and face recognition experiments, Pattern Recognition, 37 (10), 2091-2094, 2004 (SCI)

67. Y. Xu, J.-Y. Yang, Z. Jin. Theory analysis on FSLDA and ULDA, Pattern Recognition, 36(12), 3031-3033,2003 (SCI)

68. 徐 勇,陆建峰,金忠,杨静宇.改进的KMSE方法及其应用,模式识别与人工智能, 20(3): 394-398, 2007.

69. 郑宇杰,杨静宇,徐勇,於东军.一种基于Fisher鉴别极小准则的特征提取方法. 计算机研究与发展,2006,43(7): 1201-1206. (EI) (063410082321)

70. 徐勇,杨静宇,金忠,娄震. 一种基于核的快速非线性鉴别分析方法,计算机研究与发展,42(3):367-374,2005

71. 徐勇,张重阳,杨静宇.一种人脸图象线性变换模型及其识别应用,系统仿真学报,17(4):846-847,2005

72. 徐勇,陆建峰,杨静宇.一种人脸图象自动识别方法及实验.系统仿真学报.16(1):14-16,2004

会议论文及发表演说

1.Yong Xu, Qi Zhu, PCA-based Multispectral Band Compression and Multispectral Palmprint Recognition, 2011 International Conference on Hand-Based Biometrics, Hongkong, 2011, 90-93.

2.Yong Xu, David Zhang, Jing-Yu Yang, Zhong Jing, Miao Li, Efficient KPCA-based Feature Extraction: A novel algorithm and experiments, in D.-S. Huang, K. Li. and G. W. Irwin (Eds): International Conference on Intelligent Computing 2006, Lecture Notes in Control and Information Science, pp.220-229, Kunming, China.

3.Yong Xu, Fengxi Song, A feature extraction approach based on typical samples and its application to face recognition, The Fourth IASTED International Conference on Signal Processing, Pattern Recognition, and Applications, Innsbruck, Austria, February, 2007

4.Yong Xu, Chuancai Liu, Chongyang Zhang , Determine the kernel parameter of KFDA using a minimum search algorithm, In De-Shuang Huang, Laurent Heutte, Marco Loog Eds, Proceedings of Third International Conference on Intelligent computing (ICIC2007), 418-426, Qingdao, China, August 2007.

5.Jian Yang, David Zhang, Yong Xu, and Jing-yu Yang, Recognize Color Face Images Using Complex Eigenfaces, in David Zhang, Anil K. Jain eds.: Advances in Biometrics, International Conference, ICB 2006, Hong Kong, China, January 5-7, 2006.

任教和任导师经历

哈尔滨工业大学深圳研究生院计算机学院(每年招收硕士生约6名,博士生2名;在读学生:16名)  每年秋季学期开设硕士与博士生课程“模式识别”,32学时,2学分。

部分学生情况:

朱旗,博士研究生,2009-2014,硕士毕业于哈尔滨工业大学(威海),课题方向为人脸识别。全国博士学术新人获得者,博士国家奖学金获得者。发表学术论文10多篇,其中SCI论文9篇。

范自柱,博士研究生,2009-2014,硕士毕业于合肥工业大学,课题方向为模式识别。已发表包括IEEE Transactions论文在内的多篇论文。

文嘉俊,博士研究生,2010-,硕士毕业于广东工业大学,目前的课题方向为计算机视觉。已发表SCI论文3篇。作为主研人员参与了银行异常事件检测系统的开发。

陆玉武,博士研究生,2011-,硕士毕业于内蒙古工业大学,目前的课题方向为人脸识别与稀疏表达方法。已发表学术论文多篇。

房小兆,博士研究生,2012-,硕士毕业于广东工业大学,目前的课题方向为特征抽取与分类算法设计。已发表学术论文多篇。

邱敏娜,硕士研究生,2012-2014,硕士毕业于河南科技大学,课题方向为生物特征识别。已发表SCI论文4篇。毕业去向:西安交通大学。

李静,硕士研究生,2012-2014,本科毕业于郑州大学,课题方向为手背静脉识别。毕业去向:阿里巴巴。

王龙,硕士研究生,2012-2014,本科毕业于郑州大学,课题方向为生物特征识别。毕业去向:搜狐汽车。

李彬, 硕士研究生,2012-2014,本科毕业于华南理工大学,课题方向为计算机视觉。毕业去向:腾讯。

刘舒, 硕士研究生,2011-2013,本科毕业于陕西师范大学,课题方向为图像处理与计算机视觉。毕业去向:中国银行。

庄萱怡, 硕士研究生,2011-2013,本科毕业于陕西师范大学,课题方向为动作识别。毕业去向:百度。

颜珂,硕士研究生,2013-,本科毕业于曲阜师范大学,课题方向为基因碱基图像去噪。

吴帅,硕士研究生,2013-,本科毕业于陕西师范大学,课题方向为基因富集分析、基因重定位。

汪晓丹,硕士研究生,2013-,本科毕业于陕西师范大学,课题方向为基因短序列比对。

韦贞乐,硕士研究生,2013-,本科毕业于陕西师范大学,课题方向为基因检测。

匡慈维,硕士研究生,2013-,本科毕业于武汉理工大学,课题方向为视频。

林诚燕,硕士研究生,2013-,本科毕业于华南师范大学,课题方向为人脸检测。


徐勇个人主页:http://www.yongxu.org/
最后更新:2017-10-30 17:16:04