王延江(教授)

作者:发布者:李芳发布时间:2020-07-06浏览次数:16625

»姓名:王延江

»系属:自动化系

»学位:博士

»职称:教授

»专业:信号与信息处理

»导师类别:博士生导师

»电子邮箱:yjwang@upc.edu.cn

»联系电话:0532-86983470

»通讯地址:山东省青岛市黄岛区长江西路66

»概况

研究方向

1)模式识别与图像处理;

2)脑认知机制建模;

3)脑网络与脑疾病。


教育经历

2003.07-2006.03 胜利油田博士后科研工作站钻井院分站,博士后;

1998.04-2001.07 北京交通大学信号与信息处理专业,博士;

1986.09-1989.01 北京航空航天大学电子信息工程系通讯与电子系统专业,硕士;

1982.09-1986.07 华东石油学院自动化系应用电子技术专业,学士。



工作经历

2014.11-至今 中国石油大学(华东)控制科学与工程学院;

2013.11-2014.10 美国印第安纳布鲁明顿大学心理学与脑科学系,访问学者;

2005.04-2013.04 中国石油大学(华东)信息与控制工程学院,副院长。

2002.12-2005.04 中国石油大学(华东)信息与控制工程学院,教授;

1996.12-2002.11 石油大学(华东)信息与控制工程学院,副教授;

1989.01-1996.11 石油大学(华东)自动化系。



学术兼职

中国自动化学会高级会员。


主讲课程

Signals and Systems、现代信号处理(全英语)、数字信号处理、数字图像处理。



指导研究生及博士后

2002年以来共指导培养博士后出站1名,博士研究生毕业16名,硕士研究生毕业100余名; 指导博士生获校级优秀博士论文3篇,指导硕士生获省级优秀硕士论文1篇、校级优秀硕士论文6篇。


主要科研项目

  1. 特种作业及特种设备实训基地建设,中石化集团胜利石油管理局有限公司培训中心(党校),2020.11.23~2021.11.03345.6万元,主持;

  2. 人脑记忆机制启发下的视觉信息表达、存储和提取方法研究, 国家自然科学基金面上项目No. 620724682021.01~2024.1267.2万元,主持(1/10);

  3. 测井解释专家分析子系统关键技术研究,中石化胜利石油工程有限公司测井公司, 2020.7.23~2021.12.0288万元,主持;

  4. 人脑记忆机制启发下的视觉信息表达、存储与提取建模,山东省自然科学基金面上项目(NO. ZR2018MF017)2018.03~2021.0617万,主持 (1/8)

  5. 井控模拟仿真培训,江苏石油勘探局职工培训处,2016.12.15~2017.12.3018万元,主持;

  6. 井控模拟仿真培训,中石化有限公司新疆西北油田分公司,2015.12~2017.12, 159万元,主持;

  7. 视觉注意与人脑记忆机制启发下的感兴趣目标提取与跟踪, 国家自然科学基金面上项目No. 612714072013.1~2016.1275万元,主持(1/10);

  8. 井控模拟仿真系统,江苏石油勘探局职工培训处,216万元,2012.11~2014.11,主持;

  9. 模拟燃煤锅炉培训考核系统建设,胜利油田技术检测中心,180万元,2012.10~2013.10,主持;

  10. 基于多源信息融合的钻井地质特征参数估计与预测方法研究,山东省自然科学基金联合项目No.ZR2009FL029, 2009.12~2012.122万元,主持(1/6);

  11. 模拟湿蒸汽发生器安全培训及考核仿真系统,胜利油田技术检测中心,92.9万元,2011.10~2012.5,主持;

  12. GPU平台上的叠前深度成像并行处理技术研究,胜利油田物探研究院,158万元,2011.1~2011.12,主持;

  13. 深度偏移中地震波粘滞效应的补偿研究,胜利油田物探院,125万元,  2009.12~2010.12,主持;

  14. JKFZ-6钻井井控模拟仿真系统软件开发,中国石油大学(北京),11万元2009.2~2009.5,主持;

  15. 基于人工生命和多智能体协同进化的多目标跟踪方法研究, 国家自然科学基金面上项目No. 608731632009.1~2011.1228万元,主持(1/10);

  16. JKFZ-6井控模拟仿真系统,2006-2008,江苏石油勘探局,72万元,主持;

  17. 71地区联合地震试验资料的处理与分析,2005~2006,胜利油田物探院,30万元,主持;

  18. 钻井模拟中多Agent系统建模研究,2005~2009中石化科技攻关重点项目 (No. JP04014),86万元,主持;

  19. 地质导向钻井随钻预测理论与方法研究,2003~2005中石化科技攻关重点项目子课题No. JP03009),胜利油田博士后研究课题,40万元,主持;

  20. 重磁震联合智能反演技术研究,2003~2005,胜利油田物探院,8万元,主持;

  21. 钻井井控模拟仿真系统(软件设计),2003~2004,中原石油勘探局,7万元,主持;

  22. UPCWCS-1培训用井控模拟装置,中国石油天然气总公司“八五”重点攻关项目1991~1993,主要完成人(3/5)。


教学研究与课程建设

  1. 电子信息工程” 省级一流专业建设,教育部,2019.12.24~2022.12.245万元,负责人(1/10)

  2. 《信号与系统》,省级线下一流本科课程,教育部,2020.3.2,负责人(1/5);

  3. 《信号与系统》,在线开放课程,山东省高等学校课程联盟,2019.12,主持(1/9);

  4. 《信号与系统》,一流本科课程建设,中国石油大学(华东),2019.12,主持(1/9);

  5. 新工科背景下《信号与系统》课程创新教学模式的探索与实践,中国石油大学(华东)教学成果二等奖2019.12,(1/9);

  6. 《现代信号处理》,山东省研究生教育优质课程建设项目,山东省教育厅,2017.07~2020.07No. SDYKC170256万元,主持(1/8);

  7. 《信号与系统》,省级精品课,山东省教育厅,2012.10~2016.12,负责人(1/12),2016.12.19验收;

  8. 《现代信号处理》全英语研究生核心课程建设,中国石油大学(华东),2015.07~2017.07No. QYY15048万元,主持(1/6);

  9. 《信号与系统》,重点课程建设,中国石油大学(华东),2017.05~2018.122万元,主持(1/12);

  10. 《信号与系统》,在线开放课程建设,中国石油大学(华东),2018.09~2019.121万元,主持(1/9);

  11. 信息类专业学位研究生培养机制研究,山东省研究生教育创新计划项目, 山东省教育厅,NO. SDYC110292011.1~2012.121万元,主持(1/5)。


获奖情况

曾荣获北京市科技进步二等奖、中国石油天然气总公司科技进步三等奖、胜利油田科技进步一等奖和二等奖以及山东省高等学校优秀科研成果三等奖、山东省高等教育教学成果三等奖和石油大学优秀教学成果二等奖各一次。


荣誉称号

2016.12,中国石油大学(华东)“师德标兵”荣誉称号;

2012.11 第三届山东省优秀研究生指导教师,山东省教育厅;

2011.07,校优秀共产党员;

2010.11,校优秀研究生指导教师,首届“良师益友——研究生心目中的好导师”获得者。


著作

1)王延江,齐玉娟,视觉注意和人脑记忆机制启发下的感兴趣目标提取与跟踪,科学出版社,2016.11 210千字;

2)王延江、林  青,《数字图像处理》,校 “十二五” 规划教材,2016.12236千字。


代表性论文(近10年)

  1. Wenhui Guo, Yanjiang Wang*. Convolutional gated recurrent unit-driven multidimensional dynamic graph neural network for subject-independent emotion recognition [J]. Expert Systems With Applications,2024238:121899.SCI 一区 Top

  2. Wenhui Guo, Yaxuan Li, Mengxue Liu, Rui Ma, and Yanjiang Wang*. Functional connectivity-enhanced feature-grouped attention network for cross-subject EEG emotion recognition [J].Knowledge-Based Systems, 2024, 283:111199.SCI 一区 Top

  3. Bowen Wang, Zhi Wang, Wenhui Guo, Yanjiang Wang*.UOD-FPN: An effective feature pyramid network for underwater object detection[J]. Knowledge-Based Systems, 2024, 293:111672.SCI 一区 Top

  4. Shuai Shao, Yan Wang, Bin Liu, Yanjiang Wang*, Baodi Liu*, Weifeng Liu. FADS: Fourier-augmentation based data-shunting for few-shot classification[J]. IEEE Transactions on Circuits and Systems for Video Technology,2024, 34(52):839-851.SCI 一区 Top

  5. Qian Wan, Wenhui Guo, Yanjiang Wang*. SGBGAN: Minority class image generation for class-imbalanced datasets [J]. Machine Vision and Applications, 2024,35(2):22.SCI 四区)

  6. Shuai Shao, Lei Xing, Yanjiang Wang*,Baodi Liu*, Weifeng Liu, Yicong Zhou. Attention-based multi-view feature collaboration for decoupled few-shot learning[J]. IEEE Transactions on Circuits and Systems for Video Technology, 2023, 33(5):2357-2369.SCI 一区 Top

  7. Wenhui Guo, Guixun Xu, Yanjiang Wang*. Multi-source domain adaptation with spatio-temporal feature extractor for EEG emotion recognition[J]. Biomedical Signal Processing and Control,2023, 84:104998.SCI 二区)

  8. Guixun Xu, Wenhui Guo, Yanjiang Wang*. LSTM-enhanced multi-view dynamical emotion graph representation for EEG signal recognition [J]. Journal of Neural Engineering,2023, 20:036038.SCI 二区)

  9. Xinru Fan, Wenhui Guo, Xueqin Wang, Yanjiang Wang*. Hyperspectral image classification based on multiscale piecewise spectral-spatial attention network [J]. International Journal of Remote Sensing, 2023, 44(11):3529-3549.SCI 三区)

  10. Xueqin Wang, Wenhui Guo, Xinru Fan, Yanjiang Wang*. Pixel-superpixel level multiscale graph and spectral–spatial representation fusion network for hyperspectral image classification [J]. IEEE Geoscience and Remote Sensing Letters, 2023, 20:5510705.SCI 二区)

  11. Jun Tang, Sihang Gong, Yanjiang Wang*, Baodi Liu, Chunyu Du, and Boyang Gu. Beyond coordinate attention: Spatial-temporal recalibration and channel scaling for skeleton-based action recognition[J]. Signal, Image and Video Processing, 2023, 02747:1-8.SCI 四区)

  12. Jun Tang, Baodi Liu, Wenhui Guo, Yanjiang Wang*. Two-stream temporal enhanced Fisher vector encoding for skeleton-based action recognition[J] . Complex & Intelligent Systems,2023, 9(3): 3147-3159.SCI 二区)

  13. Wenhui Guo, Guixun Xu, Yanjiang Wang*. Brain visual image signal classification via hybrid dilation residual shrinkage network with spatio-temporal feature fusion [J]. Signal, Image and Video Processing, 2023, 17:743-751.SCI 三区)

  14. Chuanyu Du, Shuai Shao, Jun Tang, Xinjing Song, Weifeng Liu, Baodi Liu*, Yanjiang Wang*. Non-local graph convolutional network[J]. Circuits, Systems, and Signal Processing (CSSP),2023,02563:1-20.SCI 三区)

  15. Xinjing Song, Di Wang, Hiok Chai Quek, Ah-Hwee Tan, Yanjiang Wang*.Spatial-temporal episodic memory modeling for ADLs: encoding, retrieval, and prediction[J]. Complex & Intelligent Systems ,2023, 01298:1-20. SCI 二区)

  16. Yanjiang Wang*, Jichao Ma, Xue Chen, and Baodi Liu. Accurately modeling the resting brain functional correlations using wave equation with spatiotemporal varying hypergraph Laplacian [J]. IEEE Transactions on Medical Imaging,2022, 41(12):3787-3798.SCI 一区 Top

  17. Shuai Shao, Lei Xing, Rui Xu, Weifeng Liu, Yanjiang Wang*, and Baodi Liu*. MDFM: Multi-decision fusing model for few-shot learning [J]. IEEE Transactions on Circuits and Systems for Video Technology, 2022, 32(8):5151-5162.SCI 一区 Top

  18. Wenhui Guo, Guixun Xu, and Yanjiang Wang*. Horizontal and vertical features fusion network based on different brain regions for emotion recognition [J]. Knowledge-Based Systems,2022, 247:108819.SCI 一区 Top

  19. Shuai Shao, Lei Xing, Rui Xu, Weifeng Liu, Yanjiang Wang*, and Baodi Liu*. DLDL: Dynamic label dictionary learning via hypergraph regularization[J]. Neurocomputing, 2022, 475:80-88.SCI 二区 Top

  20. Wenhui Guo, Guixun Xu, Baodi Liu, Yanjiang Wang*. Hyperspectral image classification using CNN-enhanced multi-level Haar wavelet features fusion network [J]. IEEE Geoscience and Remote Sensing Letters, 2022,19:6008805.SCI 二区)

  21. Wenzong Jiang, Lifei Zhao , Yanjiang Wang* , Weifeng Liu, and Baodi Liu*.U-Shaped attention connection network forremote sensing image super-resolution[J]. IEEE Geoscience and Remote Sensing Letters, 2022, 19:3510205.SCI 二区)

  22. Guixun Xu, Wenhui Guo, Yanjiang Wang*.  Subject-independent EEG emotion recognition with hybrid spatio-temporal GRU-Conv archtecture [J]. Medical &Biological Engineering &Computing (MBEC),2023, 61:61-73, 2023.SCI 三区)

  23. Xueqin Wang, Wenzong Jiang, Lifei Zhao, Baodi Liu, Yanjiang Wang*. Multi-scale feature learning network with channel self-attention for remote sensing single-image super-resolution[J]. International Journal of Remote Sensing,2022, 43(18):6669-6688.SCI 三区)

  24.   Jun Tang, Yanjiang Wang*, Sichao Fu, Baodi Liu, Weifeng Liu. A graph convolutional neural network model with Fisher vector encoding and channel-wise spatial-temporal aggregation for skeleton-based action recognition[J]. IET Image Processing, 2022,1-11.SCI 四区)

  25. Xue Chen, Yanjiang Wang*, Sebastian J. Kopetzky, Markus Butz-Ostendorf, and Marcus Kaiser*. Connectivity within regions characterizes epilepsy duration and treatment outcome [J]. Human Brain Mapping, 2021, 42(12):3777-3791.SCI 二区 Top

  26. Wenhui Guo, Guixun Xu, Weifeng Liu, Baodi Liu, Yanjiang Wang*. CNN-combined graph residual network with multilevel feature fusion for hyperspectral image classification [J]. IET Computer Vision, 2021, 15(8):592-607.SCI 四区)

  27. Jichao Ma, Yanjiang Wang*, Baodi Liu, Weifeng Liu. Accurately modeling the human brain functional correlations with hypergraph Laplacian [J]. Neurocomputing, 2021,428: 239-247.SCI 二区 Top

  28. Jichao Ma, Chunyu Du, Weifeng Liu, Yanjiang Wang*. Numerical simulation of higher-order nonlinearity of human brain functional connectivity using hypergraph p-Laplacian [J]. Mathematics, 2021,9:2345.SCI 三区)

  29. Li Wang, Yanjiang Wang*, Yaqian Zhao, Baodi Liu. Classification of remotely sensed images using an ensemble of improved convolutional network[J]. IEEE Geoscience and Remote Sensing Letters, 2021, 18(5): 930-934.SCI 二区)

  30. Linxia Xiao, Caizi Li, Yanjiang Wang*, Weixin Si*, Chen Yao, Xifeng Li, Chuanzhi Duan, Pheng-Ann Heng. Automatic Localization of Epileptogenic Zone from Preoperative High-frequency SEEG Signals: A Preliminary Study [J]. IEEE Journal of Translational Engineering in Health and Medicine, 2021, 9:4900810.SCI 三区)

  31. Yanjiang Wang, Shuai Shao, Rui Xu, Wenfeng Liu, Baodi Liu*, Class specific or shared? A cascaded dictionary learning framework for image classification. Signal Processing, 2020,176:107697.SCI 二区)

  32. Yanjiang Wang*, Xue Chen, Baodi Liu, Weifeng Liu, and RichardM. Shiffrin*. Understanding the relationship between human brain structure and function by predicting the structural connectivity from functional connectivity. IEEE Access,2020, 8: 209926-209938.SCI 三区)

  33. Shuai Shao, Rui Xu, Weifeng Liu, Baodi Liu and Yanjiang Wang*. Label embedded dictionary learning for image classification. Neurocomputing, 2020,385:122-131.SCI 二区 Top

  34. Linxia Xiao, Yanjiang Wang*, Baodi Liu, Weifeng Liu. Probabilistic Memory Model for Visual Images Categorization. Computing and Informatics, 2020, 39 (6):1229-1249.SCI 四区)

  35. Limiao Deng, Yanjiang Wang*, Zhongzhi Han, Renshi Yu. Research on insect pest image detection and recognition based on bio-inspired methods. Biosystems Engineering, 2018, 169: 139-148.SCI 二区)

  36. Limiao Deng, Mingyue Gao, Yanjiang Wang*. Increment learning and rapid retrieval of visual information based on pattern association memory, Neural Processing Letters, 2018,48: 1597-1610.SCI 三区)

  37. Limiao Deng, Yanjiang Wang*, Baodi Liu, Weifeng Liu, Yujuan Qi. Biological modeling of human visual system for object recognition using GLoP filters and sparse coding on multi-manifolds[J]. Machine Vision & Applications, 2018, 29(6):965-977.SCI 三区)

  38. Xue Chen, Yanjiang Wang. Predicting resting-state functional connectivity with efficient structural connectivity, IEEE-CAA Journal of Automatica Sinica (JAS), 2018,5 (6):1079-1088.SCI 一区 Top

  39. Ying Jiang, Yanjiang Wang*. Psychologically Inspired Visual Information Storage and Retrieval Modeling for Multiclass Image Classification. Neurocomputing, 259:194-200.SCI 二区 Top

  40. Yanjiang Wang, Limiao Deng*. Modeling object recognition in visual cortex using multiple firing K-means and non-negative sparse coding. Signal Processing, 2016, 124:198-209.SCI 二区)


专利

  以第一申请人或指导学生申请获批国家发明专利6项。




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