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邢向磊

发布时间:2016-03-07  浏览次数:753

  • 姓名:邢向磊

  • 出生年月:1983 年 4 月

  • 职称:讲师

  • 职务:

  • 院系:自动化学院

  • 指导硕士学科:控制科学与工程

  • 研究所: 智能系统与生物信息研究所;

  • 电话:0451-82519410

  • 手机:18903607258

  •    E- mail:xingxl@hrbeu.edu.cn

  • 邮编:150001

  •    地址:哈尔滨工程大学61号楼5017

工作简历
  • 2002.9–2006.6,南京大学,电子科学与工程系电子信息科学与技术专业,获得理学学士学位;

  • 2006.9–2013.6,南京大学,电子科学与工程系电路与系统专业,硕博连读,获得工学博士学位;

  • 2014.1– 2016.3,哈尔滨工程大学自动化学院(模式识别与智能系统研究所),博士后;

  • 2016.3– 至今,哈尔滨工程大学,自动化学院(模式识别与智能系统研究所),讲师/硕士生导师,模式识别研究生课程(助教)、数字图像处理本科生课程(助教)

研究领域
  • 主要从事模式识别,机器学习,数据挖掘,人工智能等领域的研究工作。基础理论方面:流形学习,多视图学习,半监督学习,度量学习,稀疏表示,深度学习等。应用领域:生物特征识别(包括步态识别、人脸识别等),水下目标识别,生物信息学,图像检索,视频分割等。

学术兼职
  •   担任国际期刊“Pattern Recognition”,“IEEE Transactions on Image Processing”,“Digital Signal Processing”,“IPSJ Transactions on Computer Vision and Applications”,和会议“International Symposium on Signal Processing and Intelligent Recognition Systems (SIRS'15)”,“15th IEEE International Symposium on Signal Processing and Information Technology 2015(ISSPIT 2015)”的审稿人;

  • 担任第十二届中国生物特征识别大会(CCBR2017)程序委员会成员,Second International Conf. on Image and Signal Processing(ISPR-2016)程序委员会成员。

主要论著及代表性论文
  •  专著

  •  Manifolds - Current Research Areas  (Book Chapter: A Fusion Scheme of Local Manifold Learning Methods, Xianglei Xing*, Kejun Wang, Weixing Feng), ISBN 978-953-51-2872-4, Book edited by: Prof. Paul Bracken, Print ISBN 978-953-51-2871-7, InTech, January 1, 2017, DOI: 10.5772/66303.

  • Available from: https://www.intechopen.com/books/manifolds-current-research-areas/a-fusion-scheme-of-local-manifold-learning-methods

  • 代表论文:

  • 【1】Xianglei Xing*, Kejun Wang*, Tao Yan, ZhuowenLv, “Complete canonical correlation analysis with application to multi-view gait recognition”, Pattern Recognition, Vol. 50,  pp. 107-117, 2016

  • 【2】Xianglei Xing*, Kejun Wang*. “Couple manifold discriminant analysis with bipartite graph embedding for face recognition at a distance”, Signal Processing, Vol. 125, pp.329-335, 2016

  • 【3】Xianglei Xing*, Sidan Du, Kejun Wang*. “Robust Hessian locally linear embedding techniques for high-dimensional data”, Algorithms, vol.9, No.2, pp. 36-56, 2016

  • 【4】 Xianglei Xing*, Kejun Wang, Weixing Feng.' A Fusion Scheme of Local Manifold Learning Methods',  Manifolds - Current Research Areas  (Book Chapter), ISBN 978-953-51-2872-4, Book edited by: Prof. Paul Bracken, Print ISBN 978-953-51-2871-7, InTech, January 1, 2017, DOI: 10.5772/66303.  

  • Available from: https://www.intechopen.com/books/manifolds-current-research-areas/a-fusion-scheme-of-local-manifold-learning-methods                                  

  • 【5】Xianglei Xing*, Kejun Wang*, ZhuowenLv, “Fusion of Gait and Facial Features using Coupled Projections for People Identification at a Distance”, IEEE Signal Processing Letters, Vol.22, No.12, pp.2349-2353, Dec. 2015

  • 【6】Xianglei Xing*, Kejun Wang*, ZhuowenLv, Yu Zhou, Sidan Du, 'Fusion of Local Manifold Learning Methods', IEEE Signal Processing Letters, Vol. 22, No:4, pp. 395-399, April 2015                              

  • 【7】Xianglei Xing*, Kejun Wang*, Xiaofei Yang, “A Novel Feature Fusion Scheme for Human Recognition at a Distance”, Lecture Notes in Computer Science series, Springer, volume 9428, pp. 544-552, 2015                              

  • 【8】 Xing, Yao Yu, Hua Jiang, Sidan Du*: 'A Multi-Manifold Semi-Supervised Gaussian Mixture Model for Pattern Classification ', Pattern Recognition Letters, Vol. 34, No. 16, pp. 2118-2125, Dec. 2013                              

  • 【9】 Zhuowen Lv*, Xianglei Xing*, Kejun Wang, Donghai Guan, “Class Energy Image Analysis for Video Sensor-Based Gait Recognition: A Review”, Sensors, vol. 15, No. 1, pp. 932-964, 2015                              

  • 【10】Qiangpeng Yang, Yu Zhou, Xianglei Xing, Sidan Du, “Multi-step-ahead host load prediction using autoencoder and echo state networks in cloud computing”, Journal of Supercomputing, Vol. 71, No. 8, pp. 3037-3053, Aug. 2015                              

  • 【11】Kejun Wang, Xianglei Xing*, Xiaofei Yang, “Research on Finger Vein Recognition based on NSST”, Lecture Notes in Computer Science series, Springer, volume 9428, pp. 321-330, 2015                                   

  • 【12】Kejun Wang*, Xianglei Xing*, Tao Yan, Zhuowen Lv. 'Couple Metric Learning Based on Separable Criteria with its Application in Cross-View Gait Recognition', Lecture Notes in Computer Science series, Springer, volume 8833, pp. 347-356, 2014                              

  • 【13】Kejun Wang*, Ying Liang, Xianglei Xing, Rongyi Zhang, “Target detection algorithm based on Gaussian mixture background subtraction model”, Lecture Notes in Electrical Engineering, Springer, volume  336, pp. 439-447,2015                              

  • 【14】Xianglei Xing, Sidan Du, Hua Jiang: 'Semi-Supervised Nonparametric Discriminant Analysis ', IEICE TRANS. INF. & SYST. Vol.E96-D, No.2, Feb. 2013, pp. 375-378                              

  • 【15】Xianglei Xing, Sidan Du, Yu Zhou, Yao Yu, Hua Jiang: 'Gaussian Mixture Models via Direct Nonparametric Discriminant Analysis for Classification of High-Dimensional Data', Twenty-sixth International Conference on Image and Vision Computing New Zealand, Auckland, pp.365-379, Nov. 29 - Dec. 1, 2011. ISBN: 978-0-473-20281-1                              

  • 【16】 Hua Jiang, Xianglei Xing, Kanglian Zhao, Sidan Du: 'OFDM-Based STBC with Low End-to-End Delay for Full-Duplex Asynchronous Cooperative Systems', ETRI Journal, Vol. 35, No. 4, Aug. 2013, pp. 710-713.                              

  • 【17】Hua Jiang, Xianglei Xing, Sidan Du: 'Distributed Optimal Cyclotomic Space-Time Coding for Full-Duplex Cooperative Relay Networks', Proc. 9th IEEE International Wireless Communications and Mobile Computing Conference (IWCMC 2013), Italy, July 1-5, 2013, pp.1504-1508

  • 【18】Xianglei Xing, Sidan Du: 'Parallel Implement of the H.264 Video Encoder Based on Cluster of Workstation', Journal of Southeast University (Natural Science Edition), Vol.38, No.6, Nov 2008, pp. 949 - 954

  • 【19】Xianglei Xing, Yu Zhou, Sidan Du: 'Power Management Software Based on Embedded Linux System', Computer Engineering, Vol.36, No.1, 2010, pp. 253 - 255

  • 【20】Xianglei Xing, Yu Zhou, Sidan Du: 'On inter-processor communication mechanism based on ARM11 MPCORE', Computer Applications and Software, Vol.26, No.5, 2009, pp. 9 - 10, 110

获得奖励及荣誉称号
  • 2014-2016,黑龙江省博士后基金一等资助;

  • 2009-2012,南京大学华英青年奖;

  • 2009.10南京大学真知味奖学金

  • 2008.05,南京大学优秀研究生

  • 2002-2006 ,南京大学优秀团员(2次);南京大学人民奖学金(3次);担任电子系学生会体育部长

讲授课程
  • 本科生课程:《数字图像处理》(助课)

  • 研究生课程:《模式识别》(助课)

承担主要项目

  • 【1】 国家自然科学基金2017(青年科学基金项目),“基于深度卷积递归神经网络的多视角步态识别研究”,项目批准号:61703119,主持。

  • 【2】黑龙江省自然科学基金2017(青年科学基金项目),“基于多集合度量学习的远距离身份识别研究”,项目批准号:QC2017070,主持。

  • 【3】中央高校基础研究项目2016,“深度多视图距离度量学习研究”,项目批准号:HEUCF160415,主持。

  • 【4】黑龙江省博士后基金项目2014(一等资助),“基于多集合流形学习方法的多视角步态识别”,项目编号:LBH—Z14051,主持。

  • 【5】国家自然科学基金2015(面上基金项目),“基于多流形度量学习的多视角步态识别研究”,项目批准号:61573114,第一合作者,技术负责人。

  • 【6】黑龙江省自然科学基金2015(面上基金项目),“基于多集合流形学习的多视角步态识别”,项目批准号:F2015033,第一合作者、技术负责人。                              

  • 【7】辽宁760研究所合作项目2015,“水中目标的深度特征学习与多模特征融合识别技术研究”,重点实验室基金项目,第一合作者,技术负责人。

国际学术交流
  • Sep. 16, 2017-Sep.15, 2018, U.S.A., Visiting Scholar at University of California, Los Angeles;

  • July 1-5, 2013,Italy,Proc. 9th IEEE International Wireless Communications and Mobile Computing Conference (IWCMC 2013), 'Distributed Optimal Cyclotomic Space-Time Coding for Full-Duplex Cooperative Relay Networks';

  • Nov. 29-Dec. 1, 2011,Auckland,Twenty-sixth International Conference on Image and Vision Computing New Zealand, 'Gaussian Mixture Models via Direct Nonparametric Discriminant Analysis for Classification of High-Dimensional Data'

© 2016哈尔滨工程大学自动化学院 地址:哈尔滨市南岗区南通大街145号哈尔滨工程大学61号楼 邮编:150001 电话:0451-82519410 管理维护:自动化学院 技术支持:信息化处