基本信息
贾伟 男 硕导 合肥物质科学研究院
电子邮件:icg.jiawei@gmail.com 
通信地址:合肥市科学岛
邮政编码:230031

研究领域

模式识别与智能系统、图像处理、移动互联网、大数据、科研信息化

招生信息

   

教育背景

2004-09--2008-12 中国科学技术大学自动化系 工学博士学位
2001-09--2004-06 合肥工业大学计算机系 工学硕士学位
1994-09--1998-06 华中师范大学信息管理系 理学学士学位
学历
1994.09-1998.06 华中师范大学,信息学专业,获理学学士学位
2001.09-2004.06 合肥工业大学,计算机软件与理论专业,获工学硕士学位
2004.09-2008.12 中国科技大学,模式识别与智能系统专业,获工学博士学位
学位
工学博士学位

工作经历

1998.09-2000.10  在常州工学院工作
2001.02-2001.09  在合肥网迅软件有限公司工作
2007.06-2008.02  在香港理工大学计算机系进行访问研究
2008.12-至今         在中科院合肥物质科学研究院工作
2010.10-2011.01  在香港理工大学计算机系进行访问研究
2010.01-至今  IEEE CIS HeFei Chapter 副主席
2011.03                   任副研究员
2011.03                   中国科学院大学、中国科技大学 硕士生导师
2011.06                   当选为首届中科院青年创新促进会成员
2014.05                   被聘为中科院计算机网络信息中心交叉学科硕士生导师
2014.11                   当选为中国人工智能学会模式识别专委会委员

教授课程

   

专利与奖励

1. 贾伟   等,“新生儿信息采集与识别系统”,发明专利授权号:ZL 200610041244. X
2. 贾伟   等,“基于方向特征的掌纹识别方法”,发明专利授权号:ZL 200710111289.4 


2007年度中国科技大学优秀博士生奖学金 
2008年度中科院院长优秀奖 
2008年度IEEE SMC 2008 最佳学生论文提名奖
2008年度中科院合肥智能机械研究所优秀博士研究生一等奖
2011年度中科院青年创新促进会首批会员 
2012年度中科院合肥物质科学研究院优秀团干
2014年度优秀党员
2014 被授予“中科院合肥物质科学研究院青年创新促进会荣誉会员”称号

出版信息

【已发表和录用的国际SCI杂志论文】
1. Hai Min, Wei Jia*, et al. “An intensity-texture model based level set method for image segmentation”, Pattern Recognition. (Accepted). 
2. Wei Jia, Rong-Xiang Hu, et al., “Histogram of Oriented Line Energies for Palmprint Identification”, IEEE Transactions on Systems Man and Cybernetics: Systems, vol. 44, no. 3, 385-394, 2014.
3. Rong-Xiang Hu, Wei Jia*, Haibin Ling, Yang Zhao,“Angular pattern and binary angular pattern for efficient shape retrieval,” IEEE Transactions on Image Processing, vol. 23, no. 3, 1118-1127, 2014.
4. Rong-Xiang Hu, Wei Jia*, et al., “Multiscale distance matrix for fast shape recognition,” IEEE Transactions on Image Processing, 21(11), 4667-4772, 2012.
5. Yang Zhao, De-Shuang Huang, Wei Jia, “Completed Local Binary Count for Rotation Invariant Texture Classification” IEEE Transactions on Image Processing, 21(10), 4492-4497, 2012. 
6. Rong-Xiang Hu, Wei Jia*, David Zhang, Jie Gui, Liang-Tu Song, “Hand shape recognition based on coherent distance shape contexts,” Pattern Recognition, vol. 45, no. 9, pp. 3348-3359, 2012. 
7. Rong-Xiang Hu, Wei Jia*, “Perceptually motivated morphological strategies for shape retrieval”, Pattern Recognition, vol. 45, no.9, pp. 3222-3230, 2012. 
8. Wei Jia, De-Shuang Huang, David Zhang, “Palmprint verification based on robust line orientation code,” Pattern Recognition, vol.41, no.5, pp. 1504-1513, 2008. 
9. De-Shuang Huang, Wei Jia, David Zhang, “Palmprint verification based on principal lines,” Pattern Recognition, vol.41, no.4, pp. 1316-1328, 2008. 
10. Jie Gui, Tie-Niu Tan, Wei Jia, Zhe-Nan Sun, “Discriminant sparse neighborhood preserving embedding for face recognition,” Pattern Recognition, vol. 45, no. 8, pp. 2884-2893, 2012. 
11. Shu-Lin Wang, Yi-Hai Zhu, Wei Jia, De-Shuang Huang, “Robust classification method of tumor subtype by using correlation filters,” IEEE/ACM Transactions on Computational Biology and Bioinformatics, vol. 9, no. 2, pp. 580-591, 2012. 
12. Wei Jia, Hai-Yang Cai, Jie Gui, Rong-Xiang Hu, Ying-Ke Lei, Xiao-Feng Wang, “Newborn Footprint Recognition Using Orientation Feature,” Neural Computing & Applications, vol. 21, no. 8, pp. 1855-1863, 2012. 
13. Wei Jia, Rong-Xiang Hu, Jie Gui, Xiao-Ming Ren, “Palmprint recognition across different devices”, Sensors, 12(6), 7938-7964, 2012. 
14. Wei Jia, Bin Ling, Kwok-Wing Chau, and Laurent Heutte, “Palmprint identification using restricted fusion,” Applied Mathematics and Computation, vol. 205, no.2, pp 916-926, 2008. 
15. Rongxiang Hu, Wei Jia*, Deshuang Huang, Yingke Lei, “Maximum margin criterion with tensor representation,” Neurocomputing, vol. 73, no.10-12, pp. 1541-1549, 2010. 
16. Jie Gui, Wei Jia*, Ling Zhu, Shu-Lin Wang and De-Shuang Huang, "Locality preserving discriminant projections for face and palmprint recognition," Neurocomputing, vol. 73, no.13-15, pp. 2696-2707, 2010. 
17. Zhong-Qiu Zhao, De-Shuang Huang, Wei Jia, “Palmprint recognition with 2DPCA+PCA based on modular neural networks,” Neurocomputing, vol. 71, no.1-3, pp. 448-454, 2007. 
18. Ying-Ke Lei , Zhi-Guo Ding, Rong-Xiang Hu, Shan-Wen Zhang, Wei Jia*, “Orthogonal local spline discriminant projection with application to face recognition”, Patter Recognition Letters, vol. 32, no.4, pp. 615-625, 2011. 
19. Yang Zhao, Wei Jia*, Rong-Xiang Hu, Hai Min, “Completed Robust Local Binary Pattern for Texture Classification” Neurocomputing, vol. 106, no.4, pp. 68-76, 2013. 
20. Jie Gui, Rongxiang Hu, Wei Jia*, Semi-supervised learning with local and global consistency by geodesic distance and sparse representation, International Journal of Computer Mathematics (Accepted).


已发表和录用的国际会议论文
1. Wei Jia, De-Shuang Huang, “Palmprint verification based on robust line orientation code,” International Joint Conference on Neural Networks, 2007, (IJCNN 2007), 12-17 Aug. 2007, pp. 2510-2514.
2. Wei Jia, De-Shuang Huang, Dacheng Tao, David Zhang, “Palmprint identification based on directional representation,” 2008 IEEE International Conference on Systems, Man, and Cybernetics (IEEE SMC 2008), Singapore, 12-15 October 2008, pp. 1562-1567.
3. Wei Jia, Yi-Hai Zhu, Ling-Feng Liu, De-Shuang Huang, “Fast palmprint retrieval based on principal lines,” 2009 IEEE International Conference on Systems, Man, and Cybernetics (IEEE SMC 2009), USA, 11-15 October 2009.
4. Wei Jia, Rongxiang Hu, Jie Gui, Yingke Lei, “Newborn Footprint Recognition Using Band-Limited Phase-Only Correlation,” 2010 International Conference on Medical Biometrics (ICMB 2010), HongKong, 28-30 June 2010 .
5. Wei Jia, Jie Gui, Rongxiang Hu, Yingke Lei, Xueyang Xiao, “Newborn Footprint Recognition Using Subspace Learning Methods,” 2010 International Conference on Intelligent Computing (ICIC 2010), ChangSha, China, 18-21 August 2010.
6. Wei Jia, Yang Zhao, et al. “Palmprint Recognition Using Band-Limited Minimum Average Correlation Energy Filter,” The International Conference on Hand-based Biometrics (ICHB) 2011, Nov. 17~18, Hong Kong.
7. Yang Zhao, Wei Jia, et al. “Palmprint Recognition Using LBP and Different Representations,” The International Conference on Hand-based Biometrics (ICHB) 2011, Nov. 17~18, Hong Kong .
8. Yi-Hai Zhu, Wei Jia, Ling-Feng Liu, “Palmprint recognition using band-limited phase-only correlation and different representations”,LNCS, vol. 5754, 2009, pp. 270-277.
9. Ling-Feng Liu, Wei Jia, Yi-Hai Zhu, “Survey of gait recognition,” LNCS, vol. 5755, 2009, pp. 652 - 659. .
10. Jing Wei, Wei Jia, Hong Wang, and Dan-Feng Zhu, “Improved competitive code for palmprint recognition using simplited gabor filter”, LNCS, vol 5754, 2009 pp. 371-377.
11. Ling-Feng Liu, Wei Jia, Yi-Hai Zhu, “Gait recognition using hough transform and principal component analysis”, LNCS, vol. 5754, 2009, pp. 363-370.



科研活动

【承担和参加的科研项目】
1. 中科院十二五重点数据库项目,“核能学科领域基础科学数据整合与集成应用项目”,140万元,2013.7-2015.12(主要负责人)
2. 国家自然科学基金面上项目,“基于人脸和人手信息融合的面向成人和儿童的非接触式身份鉴别方法研究”,63万元,2012.1-2015.12 (主持人)
3. 中科院青年创新促进会成员专项基金,40万元,2011.9-2015.12 (主持人)
4. 国家自然科学基金青年基金,“基于脚纹识别的婴幼儿身份认证关键技术研究”,20万元,2008.1-2010.12(主持人)
5. 中科院院长奖启动基金项目,“掌纹的快速检索算法研究”,10万元,2009.7-2012.6(主持人)
6. 中科院智能所知识创新工程领域前沿重点项目子课题,“基于摄像机与柔性阵列传感器的双模态步态识别”,10万元,2009.1-2011.12(主持人)
7. 中科院合肥物质科学研究院知识创新工程青年人才项目“掌纹识别关键技术研究”,12万,2010.1-2011.12 (主持人)
8. 国家自然科学基金面上项目,“基于监督流形学习的植物叶片图像可视化与分类方法研究”,26万元,2010.1-2012.12(第二参加人)
9. 国家自然科学基金青年基金,“基于识别驱动型水平集方法的复杂背景植物叶片图像分割研究”,18万元,2011.1-2013.12(第一参加人)
10. 863国家高技术研究发展计划2007年度信息领域智能感知与先进计算技术专题课题“模式识别中高复杂异构数据处理中的若干关键技术的研究”,100万元,2007.1-2009.12,(参加人)
11. 973国家基础研究发展计划子课题,“非结构化数据的数学建模与机器学习”, 100.00万人民币,2008.1-2012.12,(参加人)

【担任基金及国际SCI期刊审稿人】
国家自然科学基金 评审专家
IEEE Transactions on Neural Networks (IEEE)
IEEE Transactions on Information Forensics & Security (IEEE)
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics (IEEE)
IEEE Transactions on Cybernetics (IEEE)
Pattern Recognition (Elsevier)
Image and Vision Computing (Elsevier)
Pattern Recognition Letters (Elsevier)
Neurocomputing (Elsevier)
IET Image Processing (IEEE)
Computational Statistics & Data Analysis (Elsevier)
International Journal of Pattern Recognition and Artificial Intelligence
Sensors


合作情况

   
项目协作单位
   

指导学生