教师信息个人照片
姓    名贾伟性    别  男

出生年月
最终学位博士
毕业学校中国科技大学
从事专业模式识别与智能系统职    务
所属院系计算机系
所属科室(研究所)计算机应用研究所职     称副研究员
联系方式
办公电话
E-mailjiawei@hfut.edu.cn
通讯地址
邮  编
简    历

贾伟,博士,合肥工业大学计算机与信息学院副研究员。19986月、20046月、200812月分别于华中师范大学信息管理系获理学学士学位、合肥工业大学计算机系获工学硕士学位、中国科技大学自动化系获工学博士学位,获2008年度中科院院长优秀奖”等奖励。担任IEEE TPAMITIPTNNLSTACTIFSTCYBTMMTCSVTTIMPRIJCAI AAAI 、ICPR等多个国际权威杂志审稿人和国际会议程序委员会委员及Area Chair(AC)。首届中科院青年创新促进会会员。中国自动化学会模式识别与机器智能专业委员会副秘书长。中国图象图形学学会青年工作委员会执行委员。中国人工智能学会模式识别专业委员会委员。中国人工智能学会智能交互专业委员会委员。中国计算机学会计算机视觉专业委员会委员。中国图象图形学会机器视觉专业委员会委员。视觉与学习青年研讨会(VALSE)第一届在线理事会副主席、在线委员会副主席,VALSE常务委员。2015中国生物特征识别青年论坛指导委员会委员。2016201720182019中国生物特征识别会议宣传主席。2017年中国计算机视觉大会宣传主席。VALSE 2018宣传主席。VALSE 2019程序委员会主席。VALSE 2020宣传主席。中国图象图形学学会2019暑期联合会议组织委员会主席。中国模式识别与计算机视觉大会2020PRCV 2020)竞赛主席。“新一代人工智能”西部地区论坛执行主席。国家自然科学基金函评专家。已经获得3项国家自然科学基金的资助。近年来,在IEEE Transactions 会刊、Pattern Recognition等国际期刊上发表论文60多篇,论文被引2800余次,H因子23。获得授权发明专利4项。担任国际期刊《IEEE ACCESS》客座编委。主要研究兴趣为人工智能、计算机视觉、模式识别等。

研究方向

人工智能、计算机视觉、图像处理、模式识别、生物特征识别

实验室氛围和谐进取,研究方向前景好,欢迎认真热情、脚踏实地的学生报考

主持及负责的科研项目
[1].国家自然科学基金面上项目,“面向移动身份认证的中低分辨率掌纹识别关键问题研究”,60万元,2017.1-2020.12 (主持人)
[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].国家自然科学基金面上项目(亚类:青年),“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)
[4].合肥物质科学中心方向性培育项目,“面向民用核设施的民众风险沟通研究”40万元,2014.9-2016.9(联合负责人)
[5].中科院十二五信息化数据库重点项目,“领域基础科学数据整合与集成应用项目”,140万元,2013.7-2015.12(执行负责人)
[6].中科院青年创新促进会成员专项基金,40万元,2011.9-2015.8 (主持人)
[7].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)
[8].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)
[9].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)

主要论著

部分期刊论文

[1]Lunke Fei, Wei Jia, Jie Wen, David Zhang, Feature Extraction for 3D Palmprint Recognition: A Survey, IEEE Transactions on Instrumentation and Measurement. (TIM)(Accept) 2020.

[2]Lei Zhang, Qingyan Duan, Wei Jia, David Zhang, Adv-Kin: An Adversarial Convolutional Network for Kinship Verification, IEEE Transactions on Cybernetics(TCYB). (Accepted) 2020.

[3]Yuan Chen, Yang Zhao, Shujie Li, Wangmeng Zuo, Wei Jia, Xiaoping Liu, Blind Quality Assessment for Cartoon Images, IEEE Transactions on Circuits and Systems for Video Technology(TCSVT). (Accepted) 2019.

[4]Lunke Fei, Bob Zhang, Yong Xu, Zhenhua Guo, Jie Wen, Wei Jia, Learning Discriminant Direction Binary Palmprint Descriptor, IEEE Transactions on Image Processing(TIP), vol.28, no.8, pp.3808–3820, 2019.

[5]Lunke Fei, Bob Zhang, Yong Xu, Di Huang, Wei Jia, Jie Wen, Local Discriminant Direction Binary Pattern for Palmprint Representation and Recognition, IEEE Transactions on Circuits and Systems for Video Technology (TCSVT). (Accept) 2019

[6]Yang Zhao, Ronggang Wang, Wei Jia*, Wangmeng Zuo, Xiaoping Liu, and Wen Gao “Deep Reconstruction of Least Significant Bits for Bit-Depth Expansion” IEEE Transactions on Image Processing(TIP), vol. 28, no. 6, pp. 2847 – 2859, 2019

[7]Wei Jia, Yang Zhao, Ronggang Wang, Shujie Li, Hai Min, Xiaoping Liu, Are Recent SISR Techniques Suitable for Industrial Applications at Low Magnification? IEEE Transactions on Industrial Electronics(TIE), Vol. 66, no. 12, pp. 9828 – 9836, 2019.

[8]Lunke Fei, Guangming Lu, Wei Jia and David Zhang, Feature Extraction Methods for Palmprint Recognition: A Survey and Evaluation, IEEE Transactions on Systems Man and Cybernetics: Systems(TSMC), Vol. 49, no. 2, pp. 346-363, 2019.

[9]L Fei, G Lu, W Jia*, J Wen, D Zhang, “Complete Binary Representation for 3-D Palmprint Recognition” IEEE Transactions on Instrumentation and Measurement (TIM), vol. 67no.2, pp:2761-2771, 2018.

[10]Wei Jia, Bob Zhang, Jingting Lu, Yihai Zhu, Yang Zhao, Wangmeng Zuo, and Haibin Ling, Palmprint Recognition Based on Complete Direction Representation, IEEE Transactions on Image Processing(TIP), Volume: 26, Issue: 9, Sept. 2017, Page(s): 4483 – 4498.

[11]H Min, W Jia*, Y Zhao, W Zuo, H Ling, Y Luo, “LATE: A Level Set Method Based on Local Approximation of Taylor Expansion for Segmenting Intensity Inhomogeneous Images” IEEE Transactions on Image Processing, (TIP), vol. 27, pp.5016 - 5031, 2018.

[12]W Kang, Y Lu, D Li, W Jia, “From Noise to Feature: Exploiting Intensity Distribution as a Novel Soft Biometric Trait for Finger Vein Recognition” IEEE Transactions on Information Forensics and Security (TIFS), vol. 14, pp. 858 – 869, 2019.

[13]Xinwei Qiu, Wenxiong Kang, Senping Tian, Wei Jia, Zhixing Huang, Finger Vein Presentation Attack Detection Using Total Variation Decomposition, IEEE Transactions on Information Forensics & Security (TIFS), volume 13, issue 2, pp:465 – 477, 2018.

[14]Xiaohe Wu, Wangmeng Zuo, Liang Lin, Wei Jia, David Zhang, F-SVM: Combination of Feature Transformation and SVM Learning via Convex Relaxation, IEEE Transactions on Neural Networks and Learning Systems (TNNLS), vol. 29, pp. 5185-5199, 2018.

[15]Wei Jia, Rong-Xiang Hu, et al., “Histogram of Oriented Lines for Palmprint Recognition”, IEEE Transactions on Systems Man and Cybernetics: Systems(TSMCS), vol. 44, no. 3, 385-394, 2014.

[16]Rong-Xiang Hu, Wei Jia*, Haibin Ling, Yang Zhao, “Angular Pattern and Binary Angular Pattern for Shape Retrieval,” IEEE Transactions on Image Processing(TIP), vol. 23, no. 3, 1118-1127, 2014.

[17]Rong-Xiang Hu, Wei Jia*, et al., “Multiscale distance matrix for fast shape recognition,” IEEE Transactions on Image Processing (TIP), 21(11), 4667-4772, 2012.

[18]Yang Zhao, De-Shuang Huang, Wei Jia, “Completed Local Binary Count for Rotation Invariant Texture Classification” IEEE Transactions on Image Processing (TIP), 21(10), 4492-4497, 2012.

[19]Shu-Lin Wang, Yi-Hai Zhu, Wei Jia, De-Shuang Huang, “Robust classification method of tumor subtype by using correlation filters,” IEEE Transactions on Computational Biology and Bioinformatics(TCBB), vol. 9, no. 2, pp. 580-591, 2012.

[20]Yang Zhao, Ronggang Wang, Wei Jia*, Jianchao Yang, Wenmin Wang, Wen Gao, Local Patch Encoding Based Method for Single Image Super-Resolution, Information Sciences (IS), Vol 433–434, pp.292-305, 2018.

[21]Hai Min, Wei Jia*, Xiao-Feng Wang, Yang Zhao, Yue-Tong Luo, A Polynomial Piecewise Constant Approximation Method Based on Dual Constraint Relaxation for Segmenting Images with Intensity Inhomogeneity, Pattern Recognition (PR), vol. 73, pp:15-32, 2018.

[22]Yue-Tong Luo, Lan-Ying Zhao, Bob Zhang, Wei Jia*, et al, “Local Line Directional Pattern for Palmprint Recognition”, Pattern Recognition(PR). Vol.50, no. 1, pp.26-44, 2016.

[23]L Fei, B Zhang, Y Xu, W Jia, J Wen, J Wu, “Precision direction and compact surface type representation for 3D palmprint identification”, Pattern Recognition (PR). Vol 87, Pages 237-247, 2019.

[24]Hai Min, Wei Jia*, et al. “An intensity-texture model based level set method for image segmentation”, Pattern Recognition (PR). Vol.48, no. 4, pp.1547-1562, 2015.

[25]Rong-Xiang Hu, Wei Jia*, David Zhang, Jie Gui, Liang-Tu Song, “Hand shape recognition based on coherent distance shape contexts,” Pattern Recognition (PR), vol. 45, no. 9, pp. 3348-3359, 2012.

[26]Rong-Xiang Hu, Wei Jia*, “Perceptually motivated morphological strategies for shape retrieval”, Pattern Recognition (PR), vol. 45, no.9, pp. 3222-3230, 2012.

[27]Wei Jia, Rong-Xiang Hu, Jie Gui, Xiao-Ming Ren, “Palmprint recognition across different devices”, Sensors,12(6), 7938-7964, 2012.

[28]Jie Gui, Tie-Niu Tan, Wei Jia, Zhe-Nan Sun, “Discriminant sparse neighborhood preserving embedding for face recognition,” Pattern Recognition (PR), vol. 45, no. 8, pp. 2884-2893, 2012.

[29]Wei Jia, De-Shuang Huang, David Zhang, “Palmprint verification based on robust line orientation code,” Pattern Recognition (PR), vol.41, no.5, pp. 1504-1513, 2008.

[30]De-Shuang Huang, Wei Jia, David Zhang, “Palmprint verification based on principal lines,” Pattern Recognition (PR), vol.41, no.4, pp. 1316-1328, 2008.

获奖情况


教学工作