个人简历

杨明强,1969年生, 副教授。1992年山东工业大学电子科学系获无线电技术学士学位,2000年山东大学信息科学与工程学院通信与信息工程学硕士学位,2008年法国INSA-RENNES(国立雷恩应用科学学院)信号与图像处理学博士学位。自19927月起,在山东工业大学大学工作,作为助理工程师从事计算机及其外围设备的维护及开发工作;作为实验师指导本科学生实验、撰写实验指导书;作为讲师、副教授为本科生和研究生开设了数门通信、信号处理方向主干课程,承担了国家、山东省及学校的多项科研课题,发表论文70余篇,申请专利19项。

招生意向:信号与信息处理学术硕士/电子信息工程硕士研究生

研究方向:图像处理模式识别及机器视觉


联系方式:yangmq#sdu.edu.cn  (替换#为@)


在对外交流方面: 

2010.06-2010.08,访问法国国立雷恩应用科学院(INSA de RENNES),合作研究 

2012.01,短期访问法国图卢兹大学(Université de Toulouse 

2012.06-2012.08,访问法国国立雷恩应用科学院(INSA de RENNES),合作研究 

2014.09-2015.08,在加拿大University of Ottawa作访问学者 

2016.01-2016.03在加拿大University of British Columbia作访问学者


邀请国外教授到山东大学访问: 

分别于2007.042009.062011.092012.092014.09邀请法国INSA de RENNES教授Joseph RONSIN先生访问,并为硕士、博士生授课。 

分别于2011.092012.09邀请法国INSA de RENNES教授Kidiyo KPALMA先生访问,并为硕士、博士生授课。 

201210月,邀请英国Strathclyde大学Stephen MARSHALL教授和Jinchang REN教授短访信息学院。 

20134月,邀请法国INSA de RENNES副校长Jean-François HELARD教授、Maryline HELARD教授短访信息学院。

20197-8月,邀请英国Strathclyde大学Jinchang REN教授访信息学院合作研究


期刊审稿

IEEE Transactions on Broadcasting, The Visual Computer, Journal of Pattern Recognition and Intelligent Systems, International Journal of Digital Content Technology and its Applications, Journal of Convergence Information Technology, International Journal of Advanced Computer Technology, 中国图像图形学报国际及国内期刊审稿人

 

社会服务:

2018第一批山东省企业科技特派员


讲授课程: 

本科课程:信号与系统,数字图像处理 

研究生课程:小波变换与工程应用

 

指导研究生: 

2009年开始指导硕士研究生,指导的全日制硕士研究生26人,已有19人毕业并获得硕士学位,其中有4人分别在荷兰、加拿大、法国攻读博士学位,4人考取了清华大学、中国科学院山东大学博士研究生,2人在军队工作,其余同学在华为浪潮、鲁能、万华等知名大公司或作为选调生在政府部门工作。另外指导在职专业硕士8人。


专利:

授权发明专利:

1. 2012.01.04

相对弦长关联统计形状特征提取方法  ZL200910230276.8

2. 2012.07.04

基于非下采样轮廓波的边缘检测方法  ZL201110022134.X

3. 2013.03.04

基于NSCT系数的3D方向窗图像去噪方法  201110067599.7

4. 2013.10.23

基于归一化耦合曲线演化模型的图割方法  201110445314.9

5. 2014.10.22

基于消失线的长方体表面透视变形的矫正方法 ZL201110395973.6

6. 2016.03.02

一种改进的 SURF快速匹配方法 ZL201310400003.X

7. 2018.01.26

基于特征建模的极低码率下人脸视频编解码方法 ZL2015100431257

8. 2018.05.01

一种基于样本局部密度离群点检测的背景建模方法 ZL201510796632.8

9. 2018.07.24

一种热能交换中等效耗能的计算方法 ZL201410482702.8

10. 2018.07.31

一种单目实时目标识别及位姿测量方法 ZL201410676615.6

11. 2019.03.22

一种基于视觉的静态手势识别方法 ZL201610079098.31

12. 2019.04.16

一种基于区域匹配的快速电子稳像方法 ZL201610885140.0

13. 2019.05.07

一种深度融合显著性检测与先验知识的手部区域分割方法 ZL201610937434.3

14. 2019.06.28

一种基于计算机视觉的四足机器人本体位姿跟踪方法 ZL201610979615.2

15. 2016.05.11

一种有效的微表情自动识别方法 ZL201310384143.2

16. 2015.12.23

一种奇偶分组的局部二元模式的人脸表情识别方法 ZL201310086362.2 

 

授权实用新型专利:

1. 2017.09.08

高速公路汽车防连撞预警装置 ZL201720189974.8

2. 2012.12.29

电子导游系统 ZL201220265195.93

3. 2006.04.19

自动取款机智能防护监控装置 CN2773802Y

 

发表论文:

1. Da Chen, Dengwang Li and Mingqiang Yang, Active Contour for Noisy Image Segmentation Based on Contourlet Transform, Journal of Electronic Imaging, 2012 Vol. 21(1) [SCI(1.024), http://spie.org/x868.xml]

2. Da Chen, Mingqiang Yang, Graph cut based normalized coupled curve evolution model, Optical Engineering, 2012 Vol.51(2) [SCI(0.847), http://spie.org/x867.xml]

3. Sun Wenhong, Zhou Weidong, Yang Mingqiang, Non-rigid registration of medical images with scale-space corner detection and thin-plate spline. BIOMEDICAL SIGNAL PROCESSING AND CONTROL  Vol.7: 6 p.599-605   DOI: 10.1016/j.bspc.2012.05.006, Nov 2012 [SCI(1.680), http://www.journals.elsevier.com/biomedical-signal-processing-and-control]

4. Zheng Q , Yang M , Yang J , et al. Improvement of Generalization Ability of Deep CNN via Implicit Regularization in Two-stage Training Process[J]. IEEE Access, 2018:1-1.(6) 15844-15869 [SCI (4.919)]

5. Jaime Zabalza , Jinchang Ren , Mingqiang Yang, Novel Folded-PCA for improved feature extraction and data reduction with hyperspectral imaging and SAR in remote sensing[J]. ISPRS Journal of Photogrammetry and Remote Sensing, 2014, 93:112-122.  [SCI (3.132)]

6. Zheng, Q., Tian, X., Yang, M. et al. PAC-Bayesian framework based drop-path method for 2D discriminative convolutional network pruning. Multidimensional Systems and Signal Processing, 1-35, Oct. 2019. [SCI (2.34)] doi:10.1007/s11045-019-00686-z

7. Zheng, Q., Tian, X., Yang, M. et al. Layer-wise learning based stochastic gradient descent method for the optimization of deep convolutional neural network, Journal of Intelligent & Fuzzy Systems, 37 (2019) 5641–5654  [SCI(1.64)]

8. A Full Stage Data Augmentation Method in Deep Convolutional Neural Network for Natural Image Classification,  Discrete Dynamics in Nature and Society [SCI(0.757)] (录用)

9. Lu H , Yang M , Ben X , et al. Divided Local Binary Pattern (DLBP) Features Description Method For Facial Expression Recognition[J]. Journal of Information & Computational Science, 2014, 11(7):2425-2433.EI

10. Zhuang Huiwei, Yang Mingqiang Cui Zhenxing, A Method for Static Hand Gesture Recognition Based on Non-Negative Matrix Factorization and Compressive Sensing, IAENG International Journal of Computer Science, 2017, 01(44).  (EI)

11. Zheng Qinghe, Yang Mingqiang , Zhang Qingrui, et al. Understanding and boosting of deep convolutional neural network based on sample distribution[C], 2017 IEEE 2nd Information Technology, Networking, Electronic and Automation Control Conference (ITNEC). IEEE, 2017. (EI)

12. Zheng, Qinghe, Tian, Xinyu, Liu, Shilei, Yang Mingqiang, Static hand gesture recognition based on Gaussian mixture model and partial differential equation, IAENG International Journal of Computer Science. 2018,04(45). p569-583 (EI)

13. Zhang Qingrui, Yang Mingqiang, Kpalma Kidiyo, Segmentation of hand posture against complex backgrounds based on saliency and skin colour detection, IAENG International Journal of Computer Science, 2018, 03(45) p435-444 (EI)

14. Zheng Qinghe, Yang Mingqiang, Zhang Qingrui, A bilinear multi-scale convolutional neural network for fine-grained object classification, IAENG International Journal of Computer Science, 2018, 02(45), p340-352 (EI)

15. Zheng Qinghe, Yang Mingqiang, Zhang Qingrui, An end-to-end image retrieval system based on gravitational field deep learning, International Conference on Computer Systems, ICCSEC 2017, 936-940 (EI)

16. Zheng Qinghe, Yang Mingqiang, Zhang Qingrui, Fine-grained image classification based on the combination of artificial features and deep convolutional activation features, International Conference on Communications in China, ICCC 2017 Vol.2018-Jan. (EI)

17. Zhang Qingrui, Yang Mingqiang, Zheng Qinghe, Segmentation of hand gesture based on dark channel prior in projector-camera system, International Conference on Communications in China, ICCC 2017 Vol.2018-Jan. (EI)

18. Zheng Qinghe, Yang Mingqiang, Zhang Qingrui, Understanding and boosting of deep convolutional neural network based on sample distribution, Proceedings of the 2017 IEEE 2nd Information Technology, Networking, Electronic and Automation Control Conference, ITNEC 2017, 2018-Jan. p823-827 (EI)

19. Zeng Wei, Yang Mingqiang, Wang Feng, Background Modeling Using Temporal-Local Sample Density Outlier Detection[M], Proceedings of International Conference on Computer Vision and Image Processing. Springer Singapore, 2017 (EI)

20.  Cui Zhenxing, Yang Mingqiang, Zeng Wei, Zhuang Huiwei, Static Hand Gesture Recognition Based on Neighborhood Rough Set, The International Conference on Fuzzy System and Data Mining, 2015, v281, p122-128. (EI)

21. Zhuang Huiwei, Yang Mingqiang Cui Zhenxing, Static Hand Gesture Recognition Using Combinational Features and Compressive Sensing, Lecture Notes in Engineering and Computer Science, 2016, v1, p 376-380. (EI)

22. Wei Zeng, Mingqiang Yang, Zhenxing Cui, An Improved Saliency Detection using Wavelet Transform, IEEE International Conference on Communication Software & Networks, 2015, p345-351 (EI)

23. Zaiai Zhang, Mingqiang Yang, Lei Chen, Da Chen, Image Segmentation Based on Snake Models Using Improved. Journal of Computational Information Systems, Vol.8: 1 (2012) 1–8.

24. Ben Xianye, Yang Mingqiang, Zhang Peng, Survey on automatic micro expression recognition methods, Jisuanji Fuzhu Sheji Yu Tuxingxue Xuebao/Journal of Computer-Aided Design and Computer Graphics, v 26, n 9, p 1385-1395, 2014 Language: Chinese

25. Wenhong Sun, Weidong Zhou, Honglin Wan and Mingqiang Yang, Corner Detecting Based on Nonlinear Complex Diffusion Process, 5th International Conference on Bioinformatics and Biomedical Engineering, 2011

26. Hongkui Xu, Mingyan Jiang and Mingqiang Yang, An image registration method combing feature constraint with multilevel strategy, Applied Mechanics and Materials, v 58-60, p286-291, 2011, Information Technology for Manufacturing Systems II

27. Zheng Zhang and Mingqiang Yang, Area Function Fourier Descriptors Based on Contour Split. Proceedings: IEEE 2011 13th conference on Communication technology

28. Wenhong Sun, Zhou Weidong and Mingqiang Yang, Medical image registration using thin-plate spline for automatically detecting and matching of point sets, 5th International Conference on Bioinformatics and Biomedical Engineering, 2011

29. Kidiyo Kpalma, Mingqiang Yang, Polygon interior point query and applications, Proceedings: IEEE 2011 13th conference on Communication technology

30. Hua Chai, Mingqiang Yang, Object recognition using relative-chord context, International Conference on Consumer Electronics, Communications and Networks (CECNet), 2011

31. Lujun Zhang, Mingqiang Yang and Mingyan Jiang, Mathematical modeling for convection-enhanced drug delivery, Procedia Engineering 2012

32. Wenhui Li, Mingqiang Yang, NSCT-based Image Denoising Using 3D Directional Windows, Proceedings: IEEE 2011 13th conference on Communication technology

33. Chenda, Mingqiang Yang and Quanxin Zheng, Active contour based on different mathematic statistics, Proceedings: IEEE 2011 13th conference on Communication technology

34. Lei Chen and Mingqiang Yang, Edge Detection Based on Sub-window Changed Multistage Median Filter, Proceedings: IEEE 2011 13th conference on Communication technology

35. Lei Chen, Mingqiang Yang, Kidiyo Kpalma, Active Contours Driven by Global and Local Data Fitting Energy, JDCTA: International Journal of Digital Content Technology and its Applications, Vol. 6, No. 23, pp. 407 ~ 415, 2012

36. Mingyan Li, Mingyan Jiang, Mingqiang Yang, Non-rigid Image Registration based on Overlapped Block Check and Free-Form Deformation, Proceedings: The 2th International Congress on Image and Signal Processing, 2010, pp. 2810 – 2814

37. Zhang Shunli, Han Min, Sun Weifeng, Yang Mingqiang. Iris feature extraction and recognition based on empirical mode decomposition. Proceedings - 2010 7th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2010, v 6, p 2633-2636

38. Mingyan Li, Mingyan Jiang and Mingqiang Yang, Iris recognition based on a novel multiresolution analysis framework, Proceedings: International Conference on Image Processing, 2010, pp. 4101 – 4104

39. Lujun Zhang, Mingyan Jiang and Mingqiang Yang, Hippocampus Segmentation based on Prior knowledge and GAC model, Proceedings: The 10th International conference on signal processing, 2010. pp. 1102 - 1105

40. Hongkui Xu, Mingyan Jiang and Mingqiang Yang, A new landmark selection method for non-rigid registration of medical brain images, International Conference on Signal Processing Proceedings, ICSP, p 920-923, 2010

41. Lujun Zhang, Mingyan Jiang and Mingqiang Yang, An Improved Local Distribution Fitting Model, Proceedings: The 2th International conference on Image and signal processing, 2010. pp. 1322 – 1326

42. Yang mingqiang, Kpalma Kidiyo and Ronsin Joseph, Shape matching and object recognition using chord contexts, 12th International Conference Visualisation, 2008 pp.63-69

43. 许鸿奎,江铭炎,杨明强,基于改进光流场模型的脑部多模医学图像配准电子学报 2012 40 (3): 525-529 (国内核心期刊)

44. 许鸿奎, 江铭炎, 杨明强, 基于多目标交叉变异粒子群算法的多模医学图像非刚性配准,中国生物医学工程学报, 30(2), 2011(国内核心期刊)

45. 孙文红,周卫东,杨明强,基于非线性复扩散及全局和局部特性的医学图像角点检测[J].光电子激光,2012,(2):396~401(国内核心期刊)

46. Kpalma Kidiyo, Yang mingqiang and Ronsin Joseph, Planar shapes descriptors based on the turning angle scalogram, ICIAR 2008, LNCS 5112, pp. 547–556   

47. Yang Mingqiang, Kpalma Kidiyo Ronsin Joseph, A survey of shape feature extraction techniques, Pattern Recognition Techniques, Technology and Applications, ISBN 978-953-7619-24-4, pp. 626, November 2008  (Google 引用超过200)

48. Yang Mingqiang, Kpalma Kidiyo and Ronsin Joseph, Contour descriptor based on affine invariance normalization, Advances in Communication Systems and Electrical Engineering. February 2008. ISBN: 978-0-387-74937-2.

49. Kidiyo Kpalma, Mingqiang Yang, Kamel Belloulata, 2-D shapes description by using features based on the differential turning angle scalogram, Journal of Pattern Recognition Research 1 (2014) 90-110

50. 柴华, 杨明强,基于小波包和区域生长的脑组织图像分割,计算机工程与应用, 47(7), 2011

51. Da Chen, Mingqiang Yang, Laurent D. Cohena, Global minimum for a variant Mumford–Shah model with application to medical image segmentation. Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization, Vol 1, Issue 1, 2013. pages 48-60.

52. Lei Chen, Mingqiang Yang, Da Chen, Kidiyo Kpalma, Local Region Active Contours Based on Gauss Smoothing, JCIT: Journal of Convergence Information Technology, Vol. 8, No. 1, pp. 628 ~ 634, 2013. (doi:104.4156/jcit.vol8.issue 1.77)                               

53. Lei Chen, Mingqiang Yang, Zaiai Zhang and Feng Liu, Active Contours based on Gaussian Model for Image Segmentation, Journal of Convergence Information Technology, Vol.8(9), May 2013

54. 郑全新,杨明强,李文辉,基于消失线的长方体表面透视变形校正方法,计算机工程,2013, Vol. 39(5): 261-265

55. Yang Mingqiang, Kpalma Kidiyo and Ronsin Joseph, Chord Context Algorithm for Shape Feature Extraction, Object Recognition, Edited by Dr. Tam Phuong Cao, ISBN 978-953-307-222-7

56. 张鹏,贲晛烨,杨明强, 基于差分切片能量图和Gabor 变换的微表情识别算法, 中国科技论文在线, http://www.paper.edu.cn/html/releasepaper/2013/12/994/

57. 崔振兴,曾威,杨明强,韩峰, 一种改进的SURF快速匹配算法, 江苏师范大学学报(自然科学版)第32卷第3, 2014.9

58.孙业超, 韩民, 杨阳, 孙伟峰, 杨明强, 基于自适应重采样的雷达信号压缩算法, 计算机工程, 36(24), 2010



 联系方式:yangmq#sdu.edu.cn  (替换#@)



杨明强

副教授 硕士生导师

性别:男

毕业院校: INSA de RENNES 法国(雷恩)国立应用科学院

学历: 研究生(博士)毕业

学位: 博士

在职信息: 在职

所在单位: 信息科学与工程学院

入职时间: 1992-07-01

学科:信号与信息处理

办公地点: 山东大学青岛校区

曾获荣誉:

2017    2017年山东大学教学成果优秀奖

2019    2019年山东大学优秀教研论文三等奖

2019    第六届全国电工电子教学案例设计竞赛三等奖

2019    山东省2019年度优秀硕士学位论文指导教师

邮编 : 266237

通讯/办公地址 : 山东省青岛市即墨滨海路72号

邮箱 : yangmq@sdu.edu.cn

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