基本信息 办公电话： 电子邮件： ygcen@bjtu.edu.cn
通讯地址：北京市海淀区北京交通大学计算机与信息技术学院 邮编：100044

教育背景 岑翼刚，教授，博士生导师。2006年毕业于武汉华中科技大学控制科学与工程系，2006年9月～2007年9月在新加坡南洋理工电子与电气工程学院信号处理中心博士后工作，2007年12月在北京交通大学信息所工作至今。主要研究方向为小波分析、压缩感知、数字图像处理、数字信号处理，发表中英文论文90余篇，其中38篇SCI期刊论文。主持及参与国家自然基金、北京市自然科学基金、教育部留学回国人员基金等18项。
主要研究领域包括：计算机视觉、模式识别、小波分析、压缩感知、信号处理、图像处理
工作经历 2006.9~2007.9，新加坡南洋理工大学电子与电气工程系，Research Fellow
2008.1~2010.10，北京交通大学计算机与信息技术学院，讲师
2010.11~2015.10，北京交通大学计算机与信息技术学院，副教授
2015.11至今，北京交通大学计算机与信息技术学院，教授
2013.12~2015.1，美国密苏里大学计算机系，访问
研究方向 模式识别与智能系统
数字媒体信息处理
电子与通信工程（专业学位）
软件工程（专业学位）
招生专业 控制科学与工程硕士
信息与通信工程硕士
控制科学与工程博士
信息与通信工程博士
电子信息硕士
科研项目
教学工作
论文/期刊 王艳红,岑翼刚,赵瑞珍,张琳娜,阚世超,胡绍海.Compressed sensing based feature fusion for image retrieval.Journal of Ambient Intelligence and Humanized Computing,2018,None(None)
曾宪佑,徐龙,马林,赵瑞珍,岑翼刚.Visual tracking using global sparse coding and local convolutional features.DIGITAL SIGNAL PROCESSING,2018,2(72)
王恒友,赵瑞珍,岑翼刚,张凤珍,梁列全,何强,曾明.Low-rank matrix recovery via smooth rank function and its application in image restoration.INTERNATIONAL JOURNAL OF MACHINE LEARNING AND CYBERNETICS,2018,9(9)
张凤珍,岑翼刚,赵瑞珍,胡绍海,V.Multi-separable dictionary learning.SIGNAL PROCESSING,2018,2(143)
李昂,苗振江,岑翼刚,岑翼.Anomaly detection using sparse reconstruction in crowded scenes.MULTIMEDIA TOOLS AND APPLICATIONS,2017,24(76)
黄洁媛,岑翼刚,张琳娜,阚世超,梁列全.基于卷积神经网络的人眼状态检测.扬州大学学报：自然科学版,2018,3(21)
王恒友,岑翼刚,何志全,何志海,赵瑞珍,张凤珍.Reweighted Low-Rank Matrix Analysis With Structural Smoothness for Image Denoising.IEEE TRANSACTIONS ON IMAGE PROCESSING,2018,4(27)
封万里,岑翼刚,曾宪佑,李哲涛,曾明,Voronin.Object tracking based on adaptive updating of a spatial-temporal context model.KSII TRANSACTIONS ON INTERNET AND INFORMATION SYSTEMS,2017,11(11)
李昂,苗振江,岑翼刚.Global Abnormal Event Detection based on Compact Coefficient Low-Rank Dictionary Learning.The 4th Asian Conference on Pattern Recognition,2017
阚世超,岑翼刚,岑翼,王艳红,Voronin,Mladenovic,曾明.SURF binarization and fast codebook construction for image retrieval.Journal of Visual Communication and Image Representation,2017,11(49)
阚世超,岑翼刚,王艳红,岑翼,胡绍海.Automatically Marking Object Regions based on Tagged Images.The International Symposium on Intelligent Signal Processing and Communication Systems,2017
王恒友,岑翼刚,赵瑞珍,Voronin,张凤珍,王艳红.Fast Smooth Rank Function Approximation based on Matrix Tri-factorization.Neurocomputing,2017,9(257)
王恒友,岑翼刚,何志海,赵瑞珍,岑翼,张凤珍.Robust generalized low-rank decomposition of multi-matrices for image recovery.IEEE Transactions on Multimedia,2017,5(9)
张凤珍,岑翼刚,赵瑞珍,王恒友,岑翼,崔丽鸿,胡绍海.Analytic separable dictionary learning based on oblique manifold.Neurocomputing,2017,2(236)
王艳红,岑翼刚,赵瑞珍,岑翼,胡绍海,Voronin,王恒友.Separable Vocabulary and Features Fusion for Image Retrieval based on Sparse Representation.Neurocomputing,2017,2(236)
张凤珍,赵瑞珍,岑翼刚,胡绍海,张勇东.基于差分的稀疏度自适应重构算法.计算机辅助设计与图形学学报,2015,6(27)
赵显,安高云,岑翼刚,王恒友.Robust Generalized Low Rank Approximations of Matrices for Video Denoising.the 13th IEEE International Conference on Signal Processing (ICSP) ,2016
李昂,苗振江,岑翼刚,梁清华.Abnormal events detection based on sparse reconstruction in crowded scenes.The 41st IEEE International Conference on Acoustics, Speech, and Signal Processing,2016
李昂,苗振江,岑翼刚,王田,Voronin.Abnormal events detection in crowded scenes via histogram of maximal optical flow projection.International Journal of Distributed Sensor Networks,2015,8(2015)
徐博华,岑翼刚,魏哲,岑翼,赵瑞珍,苗振江.Video restoration based on PatchMatch and reweighted low-rank matrix recovery.Multimedia Tools and Applications ,2015,4(5)
岑翼刚,赵瑞珍,岑丽辉,崔丽鸿,苗振江,魏哲.Defect Inspection for TFT-LCD Images Based on the Low-rank Matrix Reconstruction.Neurocomputing,2015,3(149)
王恒友,赵瑞珍,岑翼刚.Rank adaptive atomic decomposition for low-rank matrix completion and its application on image recovery.Neurocomputing,2014,2014(145)
岑翼刚,赵瑞珍,苗振江,岑丽辉,崔丽鸿.A New Approach of Conditions on Delta_{2s} for s-sparse Recovery.SCIENCE CHINA Information Sciences (中国科学F辑),2014,4(57)
岑翼刚,岑丽辉,陈晓方,苗振江.Explicit Construction of Symmetric Compactly Supported Biorthogonal Multiwavelets Via Group Transformations.Journal of Computational and Applied Mathematics,2013,5(244)
岑翼刚,王方非,赵瑞珍,崔丽鸿,岑丽辉,苗振江.Tree-based Backtracking Orthogonal Matching Pursuit for Sparse Signal Reconstruction.Journal of Applied Mathematics,2013,11(2013)
岑翼刚,岑丽辉,陈晓方.On construction of symmetric compactly supported biorthogonal multiwavelets with short sequences.APPLIED MATHEMATICS & INFORMATION SCIENCES ,2012,3(6)
岑翼刚,忻蕊,陈晓方,岑丽辉.Signal Sparse Representation Based on the Peak Transform and Modulus Maximum of Wavelet Coefficients.Tamkang Journal of Science and Engineering,2011,3(14)
岑翼刚,岑丽辉.基于峰值变换的信号稀疏表示及重建.电子与信息学报,2011,2(33)
岑翼刚.Abstract Algebraic Construction of Biorthogonal Multiwavelets.Cross-Strait Conference on Information Science and Technology,2010
岑翼刚.基于单层小波变换的压缩感知图像处理.通信学报,2010,8A(31)
岑翼刚.Construction of Compactly Supported Biorthogonal Multiwavelets: An Abstract Algebraic Approach.Journal of Internet Technology,2010,7(11)
岑翼刚.Symmetric Construction of Biorthogonal Multiwavelets with Short Sequences.2009 International Conference on Computational Intelligence and Software Engineering,2009
岑翼刚.Polyphase Matrices Extension for Biorthogonal Multiwavelets with closed-form Expressions.2009 International Conference on Computational Intelligence and Software Engineering,2009
岑翼刚.Explicit construction of high-pass filter sequence for orthogonal multiwavelets.Applied Mathematics and Computation,2009,7(213)
岑翼刚.Explicit Construction of Compactly Supported Biorthogonal Multiwavelets Based on the Matrix Extension.2008 IEEE International Conference on Neural Networks and Signal Processing,2008

专著/译著
专利
软件著作权 1. 岑翼刚，阚世超，张琳娜，基于深度学习的车辆行人计数系统，登记号：2019SRBJ0429.
2. 岑翼刚，张芳慧，阚世超，张琳娜，基于深度学习的畸变行车视频车辆检测系统，登记号：2019SRBJ0575
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