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徐勇的简历
更新时间:2009年03月06日 12:00:00 访问次数:
 
 

任职: 计算机科学与技术学科部 教授,博士生导师

研究方向: 模式识别,特征抽取,机器学习,人脸识别,生物特征识别,多生物特征融合。

 

教育经历:

2001.02-2004.12   南京理工大学 ,博士

1994.09-1997.06   中国人民解放军空军气象学院,硕士

1990.09-1994.06   中国人民解放军空军气象学院,学士

 

工作经历:

2007.05- 至今           哈尔滨工业大学深圳研究生院,副教授,教授

2005.05-2007.04         哈尔滨工业大学深圳研究生院,博士后

1997.07-2005.04         中国人民解放军理工大学,助教,讲师

 

背景介绍:

1.  1997年获得中国人民解放军空军气象学院理学硕士学位。

2.   2004年获得南京理工大学全国“模式识别与智能系统”重点学科博士学位并获得校级“优秀博士学位论文“奖励。

3.   1997-2005年为解放军理工大学助教、讲师,现为哈尔滨工业大学深圳研究生院副教授、博士生导师。主要研究方向为模式识别、生物特征识别与图象处理。

4.  2008年度教育部新世纪优秀人才获得者,深圳市“地方级领军人才”,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3项、省市级项目两项,出版英文与中文学术专著三部、译著两部。

5.  发表学术论文超过100篇,其中SCI期刊论文50多篇,论文SCI引用次数较多。担任的社会兼职包括IEEE会员、国际学术期刊《International Journal of Image and Graphics》副编辑、多个国际学术期刊(IEEE Transactions on System, Man and Cybernetics- Part B, International Journal of Pattern Recognition and Artificial Intelligence Patten Recognition Neurocomputing等)审稿人,多个国际会议论文审阅人。

 

主要科研项目如下:

1. 智能视频分析算法开发 (主持, 横向项目)

2. 新世纪优秀人才支持计划项目:多生物特征识别 (主持)

3. 国家自然科学基金:应用于特征抽取的一类非线性方法的快速模型设计 (主持)

4. 广东省自然科学基金:核方法理论研究及其快速模型 (主持)

5. 深圳市项目:计算机自动识别技术中的核方法研究 (主持)

6. 深圳市南山区项目:红外与可见光双模态人脸识别/认证系统 (主持)

7. 国家自然科学基金 : 基于人体口腔气味检测与分析的中医诊断技术研究 (参加)

8. 校创新基金: LPP及其模式识别应用研究 (主持)

 

研究工作简介:

主要研究领域为:模式识别、智能视频分析、生物特征识别、人脸识别、多生物特征融合、机器学习。部分学术成果例举如下:

1.  提出了几个复杂条件下人脸识别的方法与技术方案。

2.  完善和发展了线性鉴别分析的理论。

3.  探讨了几类非线性特征抽取方法间的理论联系并对其进行了独创性的改造。

4.  提出了几个新的线性特征抽取方法。

5.  发展和完善了图象矩阵的维数缩减技术。

 

学术专著:

1. David Zhang, Fengxi Song, Yong Xu, Zhizhen Liang, Advanced Pattern Recognition Technologies with Applications to Biometrics, Press: IGI Global, 2008

2. 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. 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) 

2. Yong Xu, Aini Zhong, Jian Yang and David Zhang, LPP solution schemes for use with face recognition, pattern recognition, 43(12),2010:4165-4176 (SCI) 

3. Yong Xu, Qi Zhu, Zizhu Fan, Minna Qiu, Yan Chen, Hong Liu, Coarse to fine K nearest neighbor classifier, Pattern Recognition Letters, http://dx.doi.org/10.1016/j.patrec.2013.01.028 (SCI) 

4. Yong Xu, Qi Zhu, Zizhu Fan, David Zhang, Jianxun Mi, Zhihui Lai, Using the idea of the sparse representation to perform coarse to fine face recognition, Information Sciences, doi: 10.1016/j.ins.2013.02.051 (SCI) 

5. Zizhu Fan, Yong Xu, David Zhang, Local linear discriminant analysis framework using sample neighbors, IEEE Transactions on Neural Networks. Vol.22, No.7,July, 2011, PP:1119-1132 (SCI) 

6. Yong Xu, Xingjie Zhu, Zhengming Li, Guanghai Liu, Yuwu Lu, Hong Liu, Using the original and ‘symmetrical face’ training samples to perform representation based two-step face recognition, Pattern Recognition, Vol.46, 2013, 1151-1158 

7. Xu Y (2012) Quaternion-Based Discriminant Analysis Method for Color Face Recognition. PLoS ONE 7(8): e43493. doi:10.1371/journal.pone.0043493 (SCI) http://dx.plos.org/10.1371/journal.pone.0043493 

8. Yong Xu, Qi Zhu, Zizhu Fan, Yaowu Wang, Jeng-Shyang Pan, From the idea of ”sparse representation” to a representation-based transformation method for feature extraction, Neurocomputing, doi:10.1016/j.neucom.2013.01.036

9. Zhihui Lai, Wai Keung Wong, Zhong Jin, Jian Yang, Yong Xu, Sparse Approximation to the Eigensubspace for Discrimination. IEEE Trans. Neural Netw. Learning Syst., 23(12), pp. 1948-1960, 2012

10. Jinghua Wang, Jane You, Qin Li, Yong Xu, Orthogonal discriminant vector for face recognition across pose, Pattern Recognition, 45, 4069-4079, 2012 (SCI)

11. Yong Xu, Zizhu Fan, Minna Qiu, David Zhang, Jing-Yu Yang, A sparse representation method of bimodal biometrics and palmprint recognition experiments, Neurocomputing, doi:10.1016/j.neucom.2012.08.038, In Press, (SCI)

12. Jin-Xing Liu, Yong Xu, Chun-Hou Zheng, Yi Wang, Jing-Yu Yang (2012) Characteristic Gene Selection via Weighting Principal Components by Singular Values, PLoS ONE, 7(7): e38873 (SCI) 

13. Yong Xu, Qi Zhu, Yan Chen and Jeng-Shyang Pan, An improvement to the nearest neighbor classifier and face recognition experiments, International Journal of Innovative Computing, Information and Control, 9(2), 2013(SCI), pp.543-554 

14. Yong Xu, David Zhang, Jian Yang Zhong Jin, Jingyu Yang, Evaluate dissimilarity of samples in feature space for improving KPCA, International Journal of Information Technology & Decision Making, Vol.10, No.3, 479-495, 2011 (SCI)

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

16. Yong Xu, Qi Zhu, David Zhang, Jing-Yu Yang, Combine crossing matching scores with conventional matching scores for bimodal biometrics and face and palmprint recognition experiments, Neurocomputing,74, 2011 3946-3952 (SCI) 

17. Yong Xu, Zizhu Fan, Qi Zhu, Feature space-based human face image representation and recognition, Opt. Eng. 51(1), 017205, 2012, (SCI)

18. Yong Xu, Aini Zhong, Jian Yang, David Zhang, Bimodal biometrics based on a representation and recognition approach, Opt. Eng. 50(3), 037202, 2011, (SCI) 

19. Yong Xu, David Zhang, Jing-Yu Yang, A feature extraction method for use with bimodal biometrics, Pattern recognition, 43(3) 1106-1115, 2010 (SCI)

20. Yong Xu, Qi Zhu, A simple and fast representation-based face recognition method, Neural Computing and Applications,DOI: 10.1007/s00521-012-0833-5 (SCI) 

21. Yong Xu, Ge Feng, Yingnan Zhao, One improvement to two-dimensional locality preserving projection method for use with face recognition, Neurocomputing, 73, 245-249, 2009 (SCI)

22. Yong Xu, Qi Zhu, Jinghua Wang, Breast cancer diagnosis based on a kernel orthogonal transform, Neural Computing and Applications, 21, 2012, 1865–1870 (SCI)

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

24. Y. Xu, C. Lin and W. Zhao, Producing computationally efficient KPCA-based feature extraction for classification problems, Electronics letters,Vol.46, No.6,2010 (SCI) 

25. Yong Xu, David Zhang, Represent and fuse bimodal biometric images at the feature level: complex-matrix-based fusion scheme, Opt. Eng. 49(3), 037002, 2010 (SCI)

26. Yong Xu, Fengxi Song, Ge Feng, Yingnan Zhao, A novel local preserving projection scheme for use with face recognition, Expert System with Applications, 37,6718-6721,2010 (SCI) 

27. 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) 

28. Jian Yang, Lei Zhang, Yong Xu, Jing-Yu Yang, Beyond sparsity: The role of L1-optimizer in pattern classification, Pattern Recognition, 45, 1104–1118, 2012 (SCI) (paper)

29. Zongxia Xie, Yong Xu, Qinghua Hu, Pengfei Zhu, Margin distribution based bagging pruning, Neurocomputing, 85, 11–19, 2012(SCI) (paper)

30.Jin-Xing Liu, Chun-Hou Zheng, Yong Xu, Extracting plants core genes responding to abiotic stresses by penalizedmatrix decomposition, Computers in Biology and Medicine,42,582-589, 2012 (SCI) (paper)

31. Jinghua Wang, Jane You, Qin Li, Yong Xu, Extract minimum positive and maximum negative features for imbalanced binary classification, Pattern Recognition, 45, 1136–1145, 2012 (SCI)

32. 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)

33. Jinghua Wang, Yong Xu, David Zhang, Jane You, An efficient method for computing orthogonal discriminant vectors, Neurocomputing 73, 2168-2176,2010,(SCI) 

34. Zuoyong Li, David Zhang, Yong Xu, Chuancai Liu: Modified local entropy-based transition region extraction and thresholding. Appl. Soft Comput. 11(8): 5630-5638 (2011)

35. Yong Xu, David Zhang, Jian Yang, Jing-Yu Yang, An approach for directly extracting features from matrix data and its application in face recognition, Neurocomputing,71,1857-1865, 2008(SCI) 

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

37. Yong Xu, David Zhang , Fengxi Song, Jing-Yu Yang, Zhong Jing , Miao Li, A method for speeding up feature extraction based on KPCA,Neurocomputing, 70, 1056-1061,2007 (SCI)

38. Guang-Hai Liu, Zuoyong Li, Lei Zhang, Yong Xu, Image retrieval based on micro-structure descriptor, Pattern Recognition, 44(9), 2123-2133 (2011)(SCI)

39. Fengxi Song, David Zhang, Yong Xu, and Jizhong Wang, Five new feature selection metrics in text categorization, International Journal of Pattern Recognition and Artificial Intelligence, 21(6) 1085 – 1101, 2007. (SCI)

40. Yong Xu, David Zhang, Zhong Jin, Miao Li, Jing-Yu Yang, A fast kernel-based nonlinear discriminant analysis for multi-class problems, Pattern Recognition, 2006, 39(6) : 1026-1033. (SCI)

41. Jian Yang, David Zhang, Xu Yong, and Jing-Yu Yang, Two-dimensional Discriminant Transform for Face Recognition, Pattern Recognition, 38(7) (2005). 1125–1129 (SCI)

42. Yong Xu, Jing-Yu Yang, Zhong Jin, A novel method for Fisher discriminant Analysis. Pattern Recognition, 37 (2), 381-384, 2004 (SCI) 

43. Yong Xu, Jing-Yu Yang, Jian Yang. A reformative kernel Fisher discriminant analysis, Pattern Recognition, 2004, 37 (6): 1299-1302. (SCI) 

44. Yong Xu, Jing-yu Yang, Jianfeng Lu, Dong-jun Yu. An efficient renovation on kernel Fisher discriminant analysis and face recognition experiments. Pattern Recognition, 2004,37 (10): 2091-2094. (SCI)

45. Yong Xu, Jing-yu Yang, Zhong Jin. Theory analysis on FSLDA and ULDA. Pattern Recognition,2003,36(12): 3031-3033. (SCI) 

46. Fengxi Song, Jane You, David Zhang and Yong Xu, Impact of full rank principal component analysis on classification algorithms for face recognition, International Journal of Pattern Recognition and Artificial Intelligence, Vol. 26, No. 3, 2012, (SCI)

 

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