个人信息


姓 名
贾伟
性 别
男

出生年月
1978年8月 最终学位
博士

毕业学校
中国科技大学



从事专业
人工智能
职 务


所属院系
计算机系



所在部门
计算机应用研究所
职 称
副教授


联系方式

办公电话:


E-mail：
jiawei@hfut.edu.cn

通讯地址：
安徽省合肥市蜀山区丹霞路485号（合肥工业大学翡翠湖校区）计算机与信息学院
邮编：
230601

简历与研究方向

贾伟，博士，合肥工业大学计算机与信息学院副教授。1998年于华中师范大学信息管理系获理学学士学位，2004年于合肥工业大学计算机学院获得工学硕士学位，2008年于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 TPAMI、TIP、TNNLS、TAC、TIFS、TCYB、TMM、TCSVT、TIM、PR、IJCAI、AAAI、ICPR等多个国际顶级期刊审稿人和国际顶级会议程序委员会委员及领域主席。首届中科院青年创新促进会会员。中国图象图形学学会青年工作委员会秘书长。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。2016、2017、2018、2019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 2018/2020/2021宣传主席。VALSE 2019程序委员会主席。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2020（PRCV 2020）竞赛主席。中国图象图形学学会2020年青年科学家论坛程序委员会主席。国际生物特征识别旗舰会议IJCB 2021 宣传主席。“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。已获得4项国家自然科学基金的资助。在IEEE Transactions 会刊等期刊上发表论文80余篇，论文被引3400余次，H因子26。获得授权发明专利6项。担任《中国图象图形学学报》编委，担任SCI 二区期刊《Remote Sensing》编委。

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。
优秀的研究生可以推荐到985高校进行联合培养，也可以推荐到知名人工智能企业进行实习。
主要研究方向：人工智能、计算机视觉、图像处理、模式识别、生物特征识别
具体研究方向一：生物特征识别
掌纹识别、静脉识别、手部生物特征识别、儿童生物特征识别，生物特征识别基本理论
具体研究方向二：智能交通
车牌识别、车型识别、视频结构化
具体研究方向三：视频分析
2D/3D人体姿态估计、动作识别


主持及负责的科研项目

[1]. 安徽省重点研发项目，编号:202004d**,“基于高效深度卷积神经网络的摩托车违法驾驶抓拍系统”，30万元，2020.1-2022.12 （主持人）
[2]. 国家自然科学基金面上项目，编号:**,“基于非接触式多种手部模态融合识别的大规模人群身份认证关键问题研究”，58万元，2021.1-2024.12 （主持人）
[3]. 安徽省重点研发项目，“面向智能交互的高密度压力阵列足部信息获取与分析系统”，60万，2018-2020（项目合作单位负责人）
[4]. 中央高校基本业务费项目，“新一代生物特征识别体系结构研究”，30万元，2018-2019（主持人）
[5]. 国家自然科学基金面上项目，编号:**,“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）
[6]. 国家自然科学基金面上项目，编号:**，“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）
[7]. 国家自然科学基金青年基金项目, 编号:** ，“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）
[8]. 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）
[9]. 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）
[10]. 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）
[11].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）
[12].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）
[13].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）


教学工作

本科生课程：《数字图像处理》
获奖情况

2018年度 合肥工业大学本科毕业设计优秀导师
2017年度 中国生物特征识别大会2017(CCBR 2017)最佳学生论文奖
2017年度 中国生物特征识别大会2017(CCBR 2017)最佳Poster奖
2016年度 中国生物特征识别大会2016(CCBR 2016)最佳Poster奖
2014年度 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
2012年度 中科院合肥物质科学研究院优秀团干
2011年度 中科院青年创新促进会首批会员（中科院优秀青年人才项目）
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
2008年度 IEEE SMC 2008 最佳学生论文提名奖
2008年度 中科院“院长优秀奖”
2007年度 中国科技大学优秀博士生奖学金

主要论著


发表的部分期刊论文:
[1]. Wei Jia, Jian Gao, Wei Xia, Yang Zhao, Hai Min, Jing-Ting Lu, A Performance Evaluation of Classic Convolutional Neural Networks for 2D and 3D Palmprint and Palm Vein Recognition, International Journal of Automation and Computing, (Accept), DOI: 10.1007/s11633-020-1257-9.
[2]. Lunke Fei, Bob Zhang, Lin Zhang, Wei Jia, Jie Wen, Jiang Wu, Learning compact multifeature codes for palmprint recognition from a single training image per palm, IEEE Transactions on Multimedia,(TMM) (Accept).
[3]. Mingwei Cao, Liping Zheng, Wei Jia, Huimin Lu, Xiaoping Liu, Accurate 3-D Reconstruction Under IoT Environments and Its Applications to Augmented Reality,IEEE Transactions on Industrial Informatics, (TII)vol.17, no.3, pp. 2090-2100, 2021.
[4]. Mingwei Cao, Liping Zheng, Wei Jia, Xiaoping Liu, Joint 3D Reconstruction and Object Tracking for Traffic Video Analysis Under IoV Environment, IEEE Transactions on Intelligent Transportation Systems, (TITS)(Accept).
[5]. Ye Yu, Hua Li, Jun Wang, Hai Min, Wei Jia*, Jun Yu, Changwen Chen, A Multilayer Pyramid Network Based on Learning for Vehicle Logo Recognition, IEEE Transactions on Intelligent Transportation Systems, (TITS)(Accept).
[6]. Yang Zhao, Ronggang Wang, Yuan Chen, Wei Jia*, Xiaoping Liu, Wen Gao, Lighter but Efficient Bit-Depth Expansion Network, IEEE Transactions on Circuits and Systems for Video Technology, (TCSVT)(Accept).
[7]. Lei Zhang, Qingyan Duan, David Zhang, Wei Jia, Xizhao Wang, AdvKin: Adversarial Convolutional Network for Kinship Verification, IEEE Transactions on Cybernetics,(TCYB)(Accept).
[8]. Lunke Fei, Bob Zhang, Wei Jia, Jie Wen, David Zhang, Feature Extraction for 3-D Palmprint Recognition: A Survey, IEEE Transactions on Instrumentation and Measurement, (TIM), vol. 69, no. 3, pp. 645-656, 2020.
[9]. Lunke Fei, Bob Zhang, Shaohua Teng, Zhenhua Guo, Shuyi Li, Wei Jia,Joint Multiview Feature Learning for Hand-Print Recognition,IEEE Transactions on Instrumentation and Measurement (TIM), vol. 69, no. 12, pp. 9743-9755, 2020.
[10]. Wei Jia, Bin Wang, Yang Zhao, Hai Min, Hailin Feng, A Performance Evaluation of Hashing Techniques for 2D and 3D Palmprint Retrieval and Recognition, IEEE Sensors Journal, vol. 20, no. 20, pp. 11864-11873, 2020.
[11]. Ye Yu, Longdao Xu, Wei Jia*, Wenjia Zhu, Yunxiang Fu, Qiang Lu, CAM: A fine-grained vehicle model recognition method based on visual attention model, Image and Vision Computing, vol. 104, pp.104027, 2020.
[12]. Yuan Chen, Yang Zhao, Wei Jia, Li Cao, Xiaoping Liu, Adversarial-learning-based image-to-image transformation: A survey,Neurocomputing, vol. 411, pp. 468-486, 2020.
[13]. Mingwei Cao, Liping Zheng, Wei Jia, Xiaoping Liu, Constructing big panorama from video sequence based on deep local feature, Image and Vision Computing, vol. 101, pp, 103972, 2020.
[14]. 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), vol. 30, no. 9, pp.3282-3288, 2019.
[15]. 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.
[16]. Lunke Fei, Bob Zhang, Yong Xu, Wei Jia, Jie Wen, Jigang Wu, Precision direction and compact surface type representation for 3D palmprint identification, Pattern Recognition (PR), vol.87, pp. 237-247, 2019.
[17]. Yang Zhao, Ronggang Wang, Wei Jia, Wangmeng Zuo, Xiaoping Liu, 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.
[18]. 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), vol. 30, no. 2, pp.468-481, 2019.
[19]. 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.
[20]. Wenxiong Kang, Yuting Lu, Dejian Li, Wei 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.
[21]. 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.
[22]. 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.
[23]. Lunke Fei, Guangming Lu; Wei Jia, Jie Wen, David Zhang, Complete binary representation for 3-D palmprint recognition,IEEE Transactions on Instrumentation and Measurement (TIM), vol. 67, no. 12, pp.2761-2771, 2018.
[24]. 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.
[25]. 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.
[26]. Lunke Fei, Guangming Lu, Wei Jia, Shaohua Teng, David Zhang, Feature Extraction Methods for Palmprint Recognition: A Survey and Evaluation, IEEE Transactions on Systems, Man, and Cybernetics: Systems(TSMC-S), vol. 49, no. 2, pp.346-363, 2018.
[27]. 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), vol. 26, no. 9, pp.4483-4498, 2017.
[28]. Hai Min, Xiao-Feng Wang , De-Shuang Huang, Wei Jia, A Novel Dual Minimization Based Level Set Method for Image Segmentation, Neurocomputing. Accepted. 2016.
[29]. Yang Zhao, Rong-Gang Wang, Wen-Min Wang, Wei Jia, Wen Gao, Iterative Projection Reconstruction for Fast and Efficient Image Upsampling, Neurocomputing. Accepted. 2016.
[30]. Feng Xue, Shan Xu, Yue-Tong Luo, Wei Jia, Design of digital camouflage by recursive overlapping of pattern templates. Neurocomputing,vol.172, pp. 262-270, 2016.
[31]. Feng Xue, Chengxi Yong, Shan Xu, Hao Dong, Yue-Tong Luo, Wei Jia, Camouflage performance analysis and evaluation framework based on features fusion. Multimedia Tools Appl. Vol. 75, no. 7, pp: 4065-4082, 2016.
[32]. 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.
[33]. 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.
[34]. Wei Jia, Rong-Xiang Hu, et al., “Histogram of Oriented Lines for Palmprint Recognition”, IEEE Transactions on Systems Man and Cybernetics: Systems(TSMC-S), vol. 44, no. 3, 385-394, 2014.
[35]. 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.
[36]. 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.
[37]. Rong-Xiang Hu, Wei Jia*, et al., “Multiscale distance matrix for fast shaperecognition,” IEEE Transactions on Image Processing(TIP), 21(11), 4667-4772, 2012.
[38].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.
[39]. 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.
[40]. Rong-Xiang Hu, Wei Jia*, “Perceptually motivated morphological strategies for shape retrieval”, Pattern Recognition (PR), vol. 45, no.9, pp. 3222-3230, 2012.
[41]. Wei Jia, Rong-Xiang Hu, Jie Gui, Xiao-Ming Ren, “Palmprint recognition across different devices”, Sensors,12(6), 7938-7964, 2012.
[42]. Shu-Lin Wang, Yi-Hai Zhu, Wei Jia, De-Shuang Huang, “Robust classificationmethod of tumor subtype by using correlation filters,” IEEE Transactions on Computational Biology and Bioinformatics(TCBB), vol. 9, no. 2, pp. 580-591, 2012.
[43]. 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.
[44]. 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.
[45].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.
[46]. Rongxiang Hu, Wei Jia*, Deshuang Huang, Yingke Lei, “Maximum margin criterion with tensor representation,” Neurocomputing, vol. 73, no.10-12, pp. 1541-1549, 2010.
[47]. 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.
[48]. 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.
[49]. De-Shuang Huang, Wei Jia, David Zhang, “Palmprint verification based on principal lines,” Pattern Recognition (PR), vol.41, no.4, pp. 1316-1328, 2008.
[50]. 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.

发表的部分会议论文:
[1]. Xiaona Liu, Yang Zhao, Yuan Chen, Wei Jia,Ronggang Wang, Xiaoping Liu: Estimated Exposure Guided Reconstruction Model for Low-Light Image Enhancement. Chinese Conference on pattern recognition and computer vision (PRCV 2020), pp.193-205, 2020.
[2]. Jingting Lu, Hui Ye, Wei Jia, Yang Zhao, Hai Min, Wenxiong Kang, Bob Zhang, “A Performance Evaluation of Local Descriptors, Direction Coding and Correlation Filters for Palm Vein Recognition”, Chinese Conference on Biometrics Recognition, 2016, (CCBR 2016), 13~17, Oct, 2016.
[3]. Zhixing Huang, Wenxiong Kang, Qiuxia Wu, Wei Jia, “A finger vein identification system based on image quality assessment”, Chinese Conference on Biometrics Recognition, 2016, (CCBR 2016), 13~17, Oct, 2016.
[4]. Wei Jia, De-Shuang Huang, “Palmprint verification based on robust orientation code,” International Joint Conference on Neural Networks, 2007, (IJCNN 2007),12-17 Aug. 2007, pp. 2510-2514.
[5]. 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.
[6]. 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.
[7]. 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, 28-30June 2010.
[8]. 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, 18-21August 2010.
[9]. 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.
[10]. 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.
[11]. 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.
[12]. Ling-Feng Liu, Wei Jia, Yi-Hai Zhu, “Survey of gait recognition,” LNCS, vol. 5755, 2009, pp. 652-659.
[13]. 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.
[14]. Ling-Feng Liu, Wei Jia, Yi-Hai Zhu, “Gait recognition using hough transform and principal component analysis”,LNCS, vol. 5754, 2009, pp. 363-370.