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  庞彦伟  副教授 硕士生导师       (English version)  

天津大学 (中国第一所现代大学)  电子信息工程学院 电子信息工程系

地址:天津市南开区卫津路92号12教学楼421室(lab),410室(office), 邮编 300072

电子邮件:pyw@tju.edu.cn, pyw@ustc.edu.cn    

实验室主页: http://cvl.tju.edu.cn

个人主页: http://staff.ustc.edu.cn/~pyw

 

  基本情况    学术活动 科研项目 论文发表 研究生招生 照片

 


 

基本情况  

        庞彦伟,男,博士毕业于中国科学技术大学,获工学博士学位,专业为信号与信息处理 ,导师刘政凯教授;曾在中国科学技术大学电子科学与技术博士后流动站工作。 现为天津大学电子信息工程学院电子信息工程系副教授,硕士生导师。是中国-苏格兰信号与图像研究院成员。 主要研究领域是 计算机视觉、网络搜索与挖掘、数字图像处理、模式识别、机器学习。 发表学术论文约40篇,其中IEEE汇刊5篇。现为国际期刊International Journal of Computer Mathematics (Taylor & Francis)编委。曾任10个国际学术会议的程序委员会委员,是10余个国际学术期刊的审稿人。是IEEE会员。

 

 

 

学术活动

SCI国际期刊编委

International Journal of Computer Mathematics (Taylor & Francis)

国际学术会议程序委员会委员

2009 International Conference on Computer Vision Theory and Applications

2009 Symposium on Computational Intelligence for Image Processing

2009 Pacific-Asia Conference on Knowledge Discovery and Data Mining

2009 Conference on Image and Graphics (ICIG)

2008 IEEE International Conference on Machine Learning and Cybernetics

2007 IEEE International Conference on Machine Learning and Cybernetics  

2007 IEEE Pacific-Rim Symposium on Image and Video Technology

IADIS e-Commerce 2006 Conference

 IADIS e-Commerce 2007 Conference

2007 IEEE Pacific-Rim Symposium on Image and Video Technology

12th Pacific-Asia Conference on Knowledge Discovery and Data Mining

期刊审稿人

Pattern Recognition (Elsevier)

IEEE Transactions on Systems, Man, and Cybernetics - Part B: Cybernetics

IEEE Transactions on Circuits and Systems for Video Technology

IEEE Signal Processing Letters

Neurocomputing (Elsevier)

Image and Vision Computing (Elsevier)

International Journal of Computer Mathematics (Taylor & Francis)

Signal Processing (Elsevier)

Journal of South China University of Technology, 华南理工大学学报(自然科学版)

 

 

 

 

 

科研项目

 

主持在研项目:

project in progress:

国家自然科学基金, 编号60605005, 24万元.

(National Natural Science Foundation of China under Grant No. 60605005)

模式识别国家重点实验室开放课题, 3万元.

Open Fund of National Laboratory of Pattern Recognition, CAS.

天津大学青年教师基金, 5万元.

Young Scholar Fundation of Tianjin University.

 

主持已完成项目:

finished project:

中国博士后科学基金,编号20060390701,3万元

(China Postdoctoral Science Foundation under Grant No .20060390701)

 


 

 

论文发表 (部分)

  Y. Pang, et al., "Iterative Subspace Analysis Based on Feature Line Distance," IEEE Transactions on Image Processing. (accepted)

Y. Yuan, X. Li, Y. Pang, et al., "Binary sparse nonnegative matrix factorization," IEEE Transactions on Circuits and Systems for Video Technology, 2009.

R. Pang, W. Zhang, Y. Pang, and H. Qu, "Self-adaptive mail filtering POP3 proxy based on user response," Transactions of Tianjin University (in Chinese), 2009.

Y. Yuan and Y. Pang, "Discriminant adaptive edge weights for graph embedding," in Proc. IEEE International Conference on Acoustics, Speech, Signal Processing (ICASSP), Las Vegas, USA, March 3-April 4, 2008.

Y. Pang, et al., "Generalised KPCA theory by adaptive rules in feature space," International Journal of Computer Mathematics (Taylor & Francis) , 2008.

Y. Pang, et al., "Binary two-dimensional principal component analysis," IEEE Transactions on System, Man, and Cybernetics, Part B: Cybernetics, vol. 38, no. 3, 2008.

Y. Yuan and Y. Pang, "Boosting simple projections for multi-class dimensionality reduction," IEEE International Conference on Systems, Man, and Cybernetics, pp. 2231-2235, 2008.

Y. Pang, et al., "Gabor-based region covariance matrices for face recognition," IEEE Transactions on Circuit Systems for Video Technology, vol. 18, no. 7, 2008.

Y. Pang, et al., "Effective matrix-form feature extraction in high dimensional space,"  IEEE Transactions on System, Man, and Cybernetics, Part B: Cybernetics, vol. 38, no. 6, 2008.

Y. Pang, et al., "Automatically outlier-resisting subspace learning," Journal of Electronics & Information Technology (in Chinese),  vol. 30, no. 1, 2008.

Y. Pang, et al., "Adaptive edge weights for supervised graph embedding," in Proc. International Conference on Machine Learning and Cybernetics, Hong Kong, August 19-22, 2007.

L. Wang, Y. Pang, et al., "An iterative algorithm for robust kernel principal component analysis," in Proc. International Conference on Machine Learning and Cybernetics, Hong Kong, August 19-22, 2007.

Y. Pang, et al., "Generalised nearest feature line for subspace learning," Electronics Letters, vol.43, no.20, pp.1079-1080, 2007.

D. Shen, Y. Pang, et al., "Linear discriminant analysis based on genetic algorithm," Journal of Data Acquisition & Processing, vol. 23, no. 3, pp. 327-332, 2008.

Y. Pang, et al., "A new nonlinear feature extraction method for face recognition," Neurocomputing, vol. 69, pp. 949-953, 2006.

Y. Pang, et al., "Subspace learning based on Laplacian eigenmaps and LDA for face recognition," International Journal of Information Acquisition, vol. 3, no. 1, 2006.

Y. Pang, et. al., "Regularized local discriminant embedding," in Proc. IEEE International Conference on Acoustcs, Speech, Signal Processing (ICASSP), Toulouse, France, May 14-19, 2006.

Y. Pang, et al., "Kernel neighborhood preserving projections for face recognition," Acta Electronic Sinica (in Chinese), vol. 34, no. 8, pp. 1542-1544, 2006.

Y. Pang, et al., "Neighborhood preserving projections (NPP): A novel linear dimension reduction method," Lecture Notes in Computer Science, vol. 3644, pp. 117-125, 2005.

Y. Pang, et al., "Learning to recognize faces by local feature design and selection," International Journal of Signal Processing, vol. 2, no. 4, pp. 251-257, 2005.

Y. Pang, et al., "Face recognition using neighborhood preserving projections," Lecture Notes in Computer Science, vol. 3768, pp. 854-864, 2005.

Y. Pang, et al., "Cluster-based LDA for single sample problem in face recognition," in Proc. International Conference on Machine Learning and Cybernetics, vol. 8, pp. 4583-4587, 2005.

Y. Pang, et al., "An even component based face recognition method," Journal of Electronics (China), vol. 22, no. 5, 2005.

Y. Pang, et al., "Fusion of SVD and LDA for face recognition," in Proc. IEEE International Conference on Image Processing, vol. 2, pp. 1417-1420, 2004. 

Y. Pang, et al., "A novel Gabor-LDA based face recognition method," Lecture Notes in Computer Science, vol. 3331, pp. 352-358, 2004.

Y. Pang, et al., "Applying LDA on half-even images for face recognition," Journal of Data Acquisition and Processing (in Chinese), vol. 19, no. 4, pp. 401-404, 2004.

Q. Zhang, Z. Liu, Y. Pang, et al., "Method of automatic registration of remote sensing image," Mini-Micro Systems (in Chinese), vol. 25, no. 7,  pp. 1129-1131, 2004.

Y. Pang, et al., "Feature extraction using filtered projections and fractal dimension," in Proc. SPIE, vol. 5286, no. 2, pp. 887-890, 2003.

Q. Zhang, Z. Liu, Y. Pang, et al., "Automatic rectification method of stereo aerophoto epipolar line," Signal Processing (in Chinese), vol. 19, no. 5, pp. 425-428, 2003.

Q. Zhang, Z. Liu, Y. Pang, et al., "Automatic registration of aerophotos based on SUSAN operator," Acta Geodaetica (in Chinese), vol. 32, no. 3, pp. 245-250, 2003.

Q. Zhang, Z. Liu, Y. Pang, et al., "Automatic map registration method based on mathematical morphology," Mini-Micro Systems (in Chinese), vol. 24, no. 7, pp. 1308-1311, 2003.

Y. Pang, and Z. Wang, "Research of detecting methods of large objects by X-CT," Optical Technique (in Chinese), vol. 28, no. 2, pp. 99-100,102, 2002.

Y. Pang, et al., "Analysis of ring artifacts of CT images," Journal of North China Institute of Technology (in Chinese), vol. 22, no. 1, pp. 16-19, 2001.

M. Lin, W. Song, and Y. Pang, "Preprocessing X-ray digital radiographs of corroded pipeline," Journal of Test and Measurement Technology (in Chinese), vol. 15, no. 1, pp. 44-48, 2001.

H. Yue, Y. Han, and Y. Pang, "Realization of MPET-2 video encoding by hardware," Journal of Test and Measurement Technology (in Chinese),  vol. 15, no. 1, pp. 49-53, 2001.

 

 

 


 

   

研究生招生

 
研究方向 计算机视觉与机器学习                 
网络(文本和图像)搜索与挖掘
指定导师 天津大学 庞彦伟 副教授
联合导师 天津大学客座教授 张磊 (微软亚洲研究院)
天津大学客座教授 李学龙 (英国伦敦大学)
项目合作 国家自然科学基金
模式识别国家重点实验室
微软亚洲研究院
华为公司
优      势 做一流的研究,做一流的工程;定期选派学生到微软亚洲研究院学习;国际合作广泛,推荐优秀学生去国外一流高校留学
招生条件 数学好、编程好、英语好、志向高
联系方式 请发email到 pyw@tju.edu.cn, pyw@ustc.edu.cn, 或直接到天津大学12教学楼(即电子信息工程学院楼)410室找庞彦伟.

 

 


 

 


Last modified on May 15, 2008, @ Yanwei Pang