个人信息

姓　　名: 高广谓 性　　別: 男 导师类型: 硕士生导师
技术职称: 副研究员 电子邮箱: csggao@gmail.com
学术型硕士招生学科: (081100)控制科学与工程
专业型硕士招生类别(领域): (085400)电子信息

个人简介:高广谓，男，硕士生导师，于2014年6月在南京理工大学计算机科学与技术学院，获得国家重点学科模式识别与智能系统专业博士学位，同年进入南京邮电大学先进技术研究院工作。分别于2011年3月至2011年9月、2013年2月至2013年8在香港理工大学从事研究工作。在模式识别、图像处理等领域有着长期的研究工作积累。 近年来，以第一作者身份在国内外学术期刊及重要学术会议上发表论文数篇，包括IEEE Trans. Image Processing, Applied Soft Computing,Pattern Recognition, Information Sciences, Neurocomputing等。担任IEEE Trans. Information Forensics & Security, Neurocomputing,Computers & Electrical Engineering, International Journal of Image andGraphics等国内外期刊知名学术期刊和学术会议审稿人。


研究领域:主要研究方向： 生物特征识别（包括人脸、指关节纹等识别验证技术）、图像与视频信号处理、大媒体数据处理等方向的理论、算法。

代表性论文：
[1]Guangwei Gao, Lei Zhang, Jian Yang, LinZhang and D. Zhang, "Reconstruction based Finger-Knuckle-PrintVerification with Score Level Adaptive Binary Fusion," IEEE Trans. Image Processing, vol. 22,no. 12, pp. 5050-5062, 2013. (SCI, IF = 6.79, JCR Q1, CCF A)
[2]
Guangwei Gao, Jian Yang, Xiao-YuanJing, Fumin Shen, Wankou Yang, Dong Yue, "Learning Robust andDiscriminative Low-rank Representations for Face Recognition withOcclusion", Pattern Recognition,Vol. 66，pp. 129-143, 2017. (SCI, IF= 5.898, JCR Q1, CCF B)
[3]
GuangweiGao, Jian Yang, Songsong Wu,Xiaoyuan Jing, Dong Yue, "Bayesian sample steered discriminativeregression for biometric image classification," Applied Soft Computing, vol. 37, pp. 48-59, 2015. (SCI, IF =4.873,JCR Q1)
[4]GuangweiGao,Jian Yang, Xiaoyuan Jing,Pu Huang, Juliang Hua, Dong Yue, "Robust face recognition via multi-scalepatch-based matrix regression," PlosOne, 11(8), 2016. (SCI, IF = 3.540, JCR Q1)
[5] Guangwei Gao, Jian Yang, 'A Novel Sparse Representation based Framework forFace Image Super-Resolution,' Neurocomputing, 134: 92-99, 2014.
(SCI, IF = 4.072, JCR Q1)
[6] Guangwei Gao, Jian Yang, and Lin Zhang, 'Integration of MultipleOrientation and Texture information for Finger-Knuckle-Print Verification,'Neurocomputing, 135: 180-191, 2014.
(SCI, IF = 4.072, JCR Q1)
[7]Guangwei Gao, Xiao-Yuan Jing, Pu Huang,Quan Zhou, Songsong Wu and Dong Yue, "Locality-Constrained Double Low-RankRepresentation for Effective Face Hallucination", IEEE Access, Vol. 4, pp. 8775-8786, 2016. (SCI, IF = 4.098, JCR Q1)
[8]Guangwei Gao, Jian Yang, Zhihui Lai, Pu Huang, Jiejin Jiang, HaoGao and Dong Yue, "Nuclear norm regularized coding with localposition-patch and nonlocal similarity for face hallucination", Digital Signal Processing, Vol.64,pp.107-120, 2017. (SCI, IF = 2.792, JCR Q1)
[9]Guangwei Gao, Zangyi Hu, Pu Huang, MengYang, Quan Zhou, Songsong Wu and Dong Yue, " Robust Low-Resolution Face Recognition viaLow-rank Representation and Locality-constrainedRegression ", Computers andElectrical Engineering, Vol.70, pp. 968-977, 2018. (SCI, IF = 2.189, JCR Q1)
[10]Guangwei Gao,Dong Zhu, Meng Yang, Huimin Lu, Wankou Yang, Hao Gao, " Face Image SuperResolution with Pose via Nuclear Norm Regularized Structural OrthogonalProcrustes Regression ", Neural Computing andApplications, DOI:10.1007/s00521-018-3826-1, 2018. (SCI, IF = 4.664,JCR Q1)
[11]Guangwei Gao, YiYu, Meng Yang, Heyou Chang, Pu Huang, Dong Yue, " Cross-resolution face recognition with pose variationsvia multilayer locality-constrained structural orthogonal procrustes regression ", Information Sciences, Vol. 506, pp. 19-36, 2020.(SCI, IF = 5.524, JCR Q1, CCF B)
[12]Guangwei Gao, Yannan Wang, Pu Huang, Heyou Chang, Huimin Lu, DongYue, " Locality-constrained feature spacelearning for cross-resolution sketch-photo face recognition", Multimedia Tools andApplications, DOI: 10.1007/s11042-019-08488-y, 2019. (SCI, IF = 2.101,JCR Q1)
[13]
GuangweiGao, Yi Yu, Meng Yang, Pu Huang,Qi Ge, Dong Yue, "Multi-scale Patch based Representation Feature Learningfor Low-Resolution Face Recognition," AppliedSoft Computing, Vol. 90, pp. 1-9, 2020. (SCI, IF = 4.873, JCR Q1)
[14]Meng Yang, Wei Wen, Xing Wang, Linlin Shen, Guangwei Gao, " Adaptiveconvolution local and global learning for class-level joint representation offacial recognition with a single sample per data subject," IEEE Transactions on Information Forensicsand Security, vol. 15, pp. 2469-2484, 2020.
[15]Heyou Chang, Fanlong Zhang, Guangwei Gao, Hao Zheng, Yang Chen, "Structure-constraineddiscriminative dictionary learning based on Schatten p-norm for facerecognition," Digital SignalProcessing, vol. 95, 102573, 2019.
[16]Quan Zhou, Wenbin Yang, Guangwei Gao, WeihuaOu, Huimin Lu, Jie Chen, Longin Jan Latecki, "Multi-scale deep contextconvolutional neural networks for semantic segmentation," World WideWeb, vol. 22, no. 2, pp. 555-570, 2019.
[17]Pu Huang, Tao Li, Zhenqiu Shu, Guangwei Gao,Geng Yang, Chengshan Qian, "Locality-regularized linear regressiondiscriminant analysis for feature extraction," Information Sciences,vol. 429, pp.164-176, 2018.
[18]Xiaoke Zhu, Xiaoyuan Jing, Liang Yang, Xinge You, DanChen, Guangwei Gao, Yunhong Wang, "Semi-supervisedCross-view Projection-based Dictionary Learning for Video-based Person Re-identification,"IEEE Transactions on Circuits and Systemsfor Video Technology, vol. 28, no. 10, pp. 2599-2611, 2018.
[1


科研项目:
[1]在研江苏省自然科学基金优秀青年基金项目1项 (2019.07-2022.06)
[2] 在研国家自然科学基金面上项目1项 (2020.01-2023.12)
[3] 结题国家自然科学基金1项 (2016.1-2018.12)；
[4]结题江苏省自然科学基金1项 (2015.7-2018.6)；
[5]结题中国博士后科学基金1项 (2015.7-2017.6)；
[6]结题江苏省高校自然科学研究项目1项 (2015.7-2017.6)；
[7] 参与国家自然科学基金2项 (2016.1-2018.12)；
[8] 参与国家自然科学基金重点项目1项 (2019.01-2023.12)
[9]
参与科技部“新一代人工智能”重大项目1项 (2019.12-2023.12)