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半岛英超合作赞助商:卞维新

发布日期:2018-03-05 浏览次数: 作者:卞维新  编辑:陈付龙     




联系方式


通信地址:安徽芜湖九华南路189

半岛英超合作赞助商   241002

Email:bwx2353@ahnu.edu.cn

个人简介


卞维新,男,安徽霍邱人,19747月生,博士,副教授,硕士生导师。20057月获贵州大学计算机应用技术专业工学硕士学位,20187月获中国矿业大学计算机应用技术专业工学博士学位。20137月至20146月,北京大学信息科学技术学院国内访问学者,20189-20197月,英国赫尔大学计算机科学与技术系交流学习。主要从事机器学习、模式识别与图像处理、生物特征认证及隐私保护等领域的研究工作。近年来在Pattern   Recognition、Information   Sciences、IEEE   Transactions on Information Forensics & Security、Future   Generation Computer Systems、IET   Image Processing、IET   Biometrics、International   Journal of Machine Learning and Cybernetics、软件学报和中国图象图形学报等国内外高水平期刊和重要国际会议上公开发表该领域学术论文30多篇。学术论文“Fingerprint   ridge orientation field reconstruction using the best quadratic approximation   by orthogonal polynomials in two discrete variables”获第八届安徽省自然科学优秀学术论文二等奖。获安徽省教学成果二等奖1项,申请发明专利2项、获批软件著作权2项。主持安徽省自然科学基金面上项目2项、安徽高校省级自然科学研究项目和半岛英超合作赞助商自然科学研究项目各1项,参与国家自然科学基金4项,安徽省自然科学基金1项。

主要研究方向

机器学习、模式识别与图像处理、生物特征认证及隐私保护

主要承担课题

[1].安徽省自然科学基金面上项目(2108085MF206),基于深度字典学习的低质指纹识别关键技术研究,2021.01-2023-12,主持

[2].安徽省自然科学基金面上项目(1708085MF145),过完备稀疏表示在指纹识别中的应用研究,2017.07-2019-06,主持

[3].国家自然科学基金面上项目(61976006),面向功能磁共振成像的动态脑网络分析及应用研究,2020.01-2023.12,参与

[4].国家自然科学基金面上项目(61672522),基于谱粒度的广义深度学习及其应用研究,2017.01-2020.12,参与

[5].国家自然科学基金项目(61572036),面向信息物理融合的可重塑异元嵌入式组件协同建模与验证方法,2016.01-2019.12,参与

[6].国家自然科学基金项目(61070060),基于生物芯片的DNA计算机中若干非线性数据结构的研究,2011.1-2013.12,参与

[7].安徽省自然科学基金项目(1508085QF134),蛋白质结构预测模型与方法研究,2015.07-2017.06,参与

[8].安徽高校省级自然科学研究项目(KJ2011Z136),低质量指纹图像增强算法研究,2011.1-2013.12,主持

代表性论文

[1]. Hui   Zhang, Weixin Bian*, Biao Jie, et   al. A complete user authentication and key   agreement scheme using cancelable biometrics and PUF in multi-server   environment. IEEE Transactions on   Information Forensics &   Security, 2021, 16: 5413-5428. (SCI,   TOP期刊, CCF   A)

[2]. Xuejing   Li, Yonglong Luo, Weixin Bian.   Retracing extended sudoku matrix for high-capacity image steganography. Multimedia Tools and Applications.   2021, 80 (12), 18627-18651. (SCI,   CCF C)

[3]. Zhengdong Wang, Biao Jie, Chunxiang Feng,   Taochun Wang, Weixin Bian, XinTao   Ding, Wen Zhou, Mingxia Liu. Distribution-guided Network Thresholding for   Functional Connectivity Analysis in fMRI-based Brain Disorder Identification.   IEEE Journal of Biomedical and Health   Informatics, 2022,26(4):1602 - 1613. (SCI, CCF C)

[4]. Wen   Zhou, Wenying Jiang, Biao Jie, Weixin   Bian. Multiagent evacuation framework for a virtual fire emergency   scenario based on generative adversarial imitation learning. Computer Animation and Virtual Worlds,   2021, doi.org/10.1002/cav.2035. (SCI)

[5]. 丁玉祥, 卞维新*, 接标, . 融合邻域回归和稀疏表示的图像超分辨率重构. 计算机工程与应用, 2021, 57(2):   230-236.

[6]. Hui Zhang, Weixin Bian*, Biao Jie, Shuwan Sun. A Novel Method of Template   Protection and Two-Factor Authentication Protocol Based on Biometric and PUF,   CSS 2021: Cyberspace Safety and Security. 2021, pp. 97-106. (EI)

[7]. Xuejing Li, Yonglong Luo, Weixin Bian, Haiyan Zhang. An   efficient image tamper detection and self-recovery scheme using rehashing   model based digital watermarking. Thirteenth International Conference on   Digital Image Processing (ICDIP 2021), 2021, https://doi.org/10.1117/12.2600985.   (EI)

[8]. Weixin Bian, Prosanta Gope,   Yongqiang Cheng, Qingde Li. Bio-AKA: An efficient fingerprint based two   factor user authentication and key agreement scheme. Future Generation Computer Systems. 2020, 109: 45-55. (SCI, TOP期刊, CCF C)

[9]. Deqin   Xu, Weixin Bian*, Yongqiang Cheng,   Qingde Li, Yonglong Luo, Qingying Yu. Fingerprint enhancement using   multi-scale classification dictionaries with reduced dimensionality. IET Biometrics, 2020, 9(5): 194-204. (SCI)

[10]. Jun   Zhao, Weixin Bian*, Deqin Xu, Biao   Jie, Xintao Ding, Wen Zhou, Hui Zhang. A Secure Biometrics and PUFs-Based   Authentication Scheme With Key Agreement for Multi-Server Environments. IEEE Access, 2020, 8: 45292-45303. (SCI)

[11]. Xintao Ding, Qingde Li, Yongqiang Cheng,   Jinbao Wang, Weixin Bian, Biao   Jie. Local keypoint-based Faster R-CNN. Applied   Intelligence. 2020, 50 (10), 3007-3022. (SCI, CCF C)

[12]. Weixin Bian, Deqin Xu,   Qingde Li, Yongqiang Cheng, Biao Jie, Xintao Ding. A Survey of the Methods on   Fingerprint Orientation Field Estimation. IEEE   Access, 2019, 7: 32644-32663. (SCI)

[13]. 卞维新, 丁世飞, 张楠, . 结合方向高斯带通滤波和深度玻尔兹曼机重构的指纹增强. 软件学报, 2019, 30(6):   1886-1900. (EI)

[14]. Wen   Zhou, Wenying Jiang, Weixin Bian,   Biao Jie. Webvr Human-Centered Indoor Layout Design Framework Using a   Convolutional Neural Network and Deep Q-Learning. IEEE Access, 2019, 7: 185773-185785. (SCI)

[15]. Mi   Wang, Biao Jie, Weixin Bian,   Xintao Ding, Wen Zhou, Zhengdong Wang, Mingxia Liu. Graph-Kernel Based   Structured Feature Selection for Brain Disease Classification Using   Functional Connectivity Networks. IEEE   Access, 2019, 7: 35001-35011. (SCI)

[16]. Weixin Bian, Shifei Ding,   Yu Xue. An improved fingerprint orientation field extraction method based on   quality grading scheme. International   Journal of Machine Learning and Cybernetics, 2018, 9(8): 1249-1260. (SCI)

[17]. Weixin Bian, Shifei Ding,   Weikuan Jia. Collaborative filtering model for enhancing fingerprint image. IET   Image Processing, 2018, 12(1): 149-157. (SCI)

[18]. 徐德琴, 卞维新*, 丁新涛, . 指纹图像多尺度分类字典稀疏增强. 中国图象图形学报, 2018, 23(7):   1014-1023.

[19]. Ding   Shifei, Weixin Bian, Sun Tongfeng,   et al. Fingerprint enhancement rooted in the spectra diffusion by the aid of   the 2D adaptive Chebyshev band-pass filter with orientation-selective. Information Sciences, 2017, 415:   233-246. (SCI, TOP期刊, CCF   B)

[20]. Weixin Bian, Ding Shifei,   Xue Yu. Combining weighted linear project analysis with orientation diffusion   for fingerprint orientation field reconstruction. Information Sciences, 2017, 396:55-71. (SCI, TOP期刊, CCF B)

[21]. Shifei   Ding, Weixin Bian, Hongmei Liao,   et al. Combining gabor filtering and classification dictionaries learning for   fingerprint enhancement. IET Biometrics,   2017, 6(6): 438-447. (SCI)

[22]. Weixin Bian, Shifei Ding,   Yu Xue. Fingerprint image super resolution using sparse representation with   ridge pattern prior by classification coupled dictionaries. IET Biometrics, 2017, 6(5):342-350. (SCI)

[23]. Weixin Bian, Yonglong Luo,   Deqin Xu, et al. Fingerprint ridge orientation field reconstruction using the   best quadratic approximation by orthogonal polynomials in two discrete   variables, Pattern Recognition,   2014, 47(10): 3304-3313. (SCI, TOP期刊, CCF B)

[24]. Deqin   Xu, Jilai Si, Weixin Bian*.   Fingerprint orientation field extraction using gradient based weighted   averaging. International Journal of   Collaborative Intelligence, 2016, 1(4): 287-297.

[25]. Qingying   Yu, Yonglong Luo, Chuanming Chen, Weixin   Bian. Neighborhood relevant outlier detection approach based on   information entropy. Intelligent Data   Analysis, 2016, 20(6): 1247-1265. (SCI, CCF C)

[26]. Xintao   Ding, Yonglong Luo, Yunyun Yi, Biao Jie, Taochun Wang, Weixin Bian. Orthogonal design for scale invariant feature   transform optimization. Journal of   Electronic Imaging, 2016, 25(5): 053030-053030. (SCI)

[27]. 卞维新, 封举富, 罗永龙, 徐德琴. 结合频谱扩散的指纹图像滤波增强[J].中国图象图形学报, 2014, (07):   1021-1030.

[28]. 卞维新, 徐德琴, 俞庆英. 低质量指纹图像方向场提取[J].中国图象图形学报, 2013, 18(7):768-775.

[29]. 卞维新, 徐德琴. 线性投影分析在指纹方向场提取中的应用研究.小型微型计算机系统, 2013,   34(4):921-925.

[30]. 卞维新, 徐德琴. 指纹图像细化的复合式算法.中国图象图形学报, 2011,   16(6):1015-1021.

[31]. 卞维新, 徐德琴. Snake模型在指纹图像分割中的应用.计算机工程与应用, 2011,   47(7):205-207.

[32]. 卞维新, 徐德琴. 基于自适应方向滤波器的指纹图像增强.微电子学与计算机, 2009,26(3):185-188.

[33]. Weixin Bian, Deqin Xu, Yiwei   Zhao. Fingerprint Segmentation Based on Improved Active Contour[C].   Proceedings of the International Conference on Networking and Digital   Society, 2009: 44-47.


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