个人简介

卞维新，男，安徽霍邱人，1974年7月生，博士，教授，硕士生导师。2005年获贵州大学计算机应用技术专业工学硕士学位，同年7月进入安徽师范大学任教。2018年获中国矿业大学计算机应用技术专业工学博士学位。2013年7月至2014年6月，北京大学信息科学技术学院国内访问学者，2018年9月-2019年7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IEEE Transactions on Information Forensics & Security、Pattern Recognition、Information Sciences、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，授权发明专利1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安徽师范大学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。

主要讲授课程

本科生：《数字逻辑》、《模式识别》、《数字图像处理》

研究生：《图形图像处理》

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，第一参与人

[4].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

[5].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

[6].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，第一参与人

[7].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.期刊论文

[1] Xie Dong, Yang Jinghua, Wu Bin, Bian Weixin, Chen Fulong, Wang Taochun. An Effectively Applicable to Resource Constrained Devices and Semi-Trusted Servers Authenticated Key Agreement Scheme[J]. IEEE Transactions on Information Forensics and Security, 2024, 19: 3451-3464. (SCI, CCF A, 中科院一区, TOP 期刊)

[2] Huang Yi, Bian Weixin*, Jie Biao, Zhu Zhiqiang, Li Wenhu. Image super-resolution reconstruction based on deep dictionary learning and A+[J]. Signal, Image and Video Processing, 2024: 1-13. (SCI)

[3] Xie Dong, Yang Jinghua, Bian Weixin, Chen Fulong, Wang Taochun. An Improved Identity-Based Anonymous Authentication Scheme Resistant to Semi-Trusted Server Attacks[J]. IEEE Internet of Things Journal, 2023, 10(1): 734-746. (SCI, CCF C, 中科院一区, TOP 期刊)

[4] Sun Shuwan, Bian Weixin*, Xie Dong, Xu Deqin, Huang Yi. Lightweight and privacy-preserving multi-server authentication scheme based on PUF and biometrics[J]. Journal of Intelligent & Fuzzy Systems, 2023, 45(1): 911-928. (SCI)

[5] Hui Zhang, Weixin Bian*, Biao Jie, et al. BioF-TAP: An efficient method of template protection and two-factor authentication protocol combining biometric and PUF. Journal of Intelligent & Fuzzy Systems, 2022, 43: 4317-4333. (SCI)

[6] Wang Zhengdong, Jie Biao, Feng Chunxiang, Wang Taochun, Bian Weixin, Ding Xintao, Zhou Wen, Liu Mingxia. 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 类, 中科院一区, Top 期刊)

[7] 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, CCF A, 中科院一区, TOP 期刊)

[8] 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)

[9] 丁玉祥, 卞维新*, 接标, 等. 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.

[10] 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)

[11] 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)

[12] 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)

[13] 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)

[14] 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)

[15] 卞维新, 丁世飞, 张楠, 等. 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)

[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, 等. 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, CCF B 类, 中科院一区, Top 期刊)

[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, CCF B 类, 中科院一区, Top 期刊)

[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, CCF B 类, 中科院一区, Top期刊), 该论文获第八届安徽省自然科学优秀学术论文二等奖.

[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.

2.会议论文

[1] Huang Yi, Bian Weixin*, Jie Biao, Zhu Zhiqiang, Li Wenhu. Image Super-Resolution via Deep Dictionary Learning. International Conference on Image and Graphics. Cham: Springer Nature Switzerland, 2023: 21-32.

[2] Shuwan Sun, Weixin Bian*, Xie Dong, Biao Jie. Effective and Secure Two-Factor Multi-Server Authentication Scheme without Password. 2022 3rd Information Communication Technologies Conference (ICTC). IEEE, 2022: 156-161.

[3] 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.

[4] 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). SPIE, 2021, 11878: 302-311.

[5] Kai Lin, Biao Jie, Peng Dong, Xintao Ding, Weixin Bian, Mingxia Liu. Extracting Sequential Features from Dynamic Connectivity Network with rs-fMRI Data for AD Classification. In MLMI 2021 held in conjunction with the 24nd International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2021, pp. 664–673.

专 利

[1] 卞维新, 徐德琴, 接标, 丁玉祥, 方群, 罗永龙. 基于分类耦合字典稀疏表示的指纹图像超分辨率方法, 中国, ZL 201810908519.8, 2022.11.01.

[2] 接标, 王咪, 卞维新, 丁新涛, 左开中, 方群, 罗永龙. 一种面向脑网络的结构化特征选择方法, 中国, ZL 201810818259.5, 2022.03.01.

[3] 接标, 王正东, 王咪，卞维新, 丁新涛, 周文, 左开中, 陈付龙, 罗永龙. 面向功能性脑网络的多阈值下基于多任务的特征选择方法. 中国, ZL.201910591933.5, 2021.6.15.

[4] 接标, 王正东, 卞维新, 丁新涛, 周文, 左开中, 陈付龙, 罗永龙. 一种基于权值分布的阈值化方法, 中国, ZL201910452319.0, 2021.03.16