»Full Name：Yanjiang Wang | »Affiliation： Depart of Automation |
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» Academic degree：Ph. D | » Title：Professor | |
» Major：Signal & Information Processing | » Tutor category： Ph.D | |
»E-mail：yjwang@upc.edu.cn | ||
» Tel：0532-86983470 | ||
◎Research Areas Pattern Recognition & Intelligent Information Processing; Visual Memory Modelling; Human Brain Connectivity
◎Education 1998.04-2001.07 Signal & Information Processing, Ph.D, Beijing Jioatong University; 1986.09-1989.01 Communication and Electronic System, Master’s degree, Beijing Aeronautical & Astronautical University; 1982.09-1986.07 Applied Electronics, Bachelor's degree, Petroleum Institute of East China
◎Employment 2014.11- College of Control & Engineering, China University of Petroleum; 2013.11-2014.10 Visiting Scholar, Department of Psychological & Brain Sciences, Indiana University, Bloomington, USA; 2003.07-2006.03 Postdoctoral Research Fellow, Drilling Research Institute, Shengli Oil Field; 1989.01-2003.06 Department of Automation, University of Petroleum. ◎Academic part-time Senior member with Chinese Association of Automation.
◎Courses Offered 1. Signals and Systems, for undergraduate students, in English; 2. Advanced Signal Processing, for postgraduate students, in English.
◎Guiding graduate students Up to now, 11 Ph.D candidates have got their Doctor’s degree and more than 80 graduate students have got their Master’s degree.
◎Funding and Projects 1. Study on The Modeling Methods of Representation, Storage and Retrieval for Visual Information Inspired by The Memory Mechanism of Human Brain, National Natural Science Foundation of China, No. 62072468, 2021.01-2024.12, under research, PI; 2. Moving Objects Tracking Inspired by the Mechanism of Visual Attention and Brain Memory, National Natural Science Foundation of China, No. 61271407, 2013.01-2016.12, finished, PI; 3. Multi-Object Tracking based on Artificial Life and Multi-Agent Collaborative Evolution, National Natural Science Foundation of China, No. 60873163, 2009.01-2011.12, completed, PI; 4. Modeling Methods of Representation, Storage and Retrieval for Visual Information Inspired by The Memory Mechanism of Human Brain, National Natural Science Foundation of Shandong Province, China, No. ZR2018MF017, 2018.03-2021.06, completed, PI; 5. Base Construction for Special Operations and Special Equipment, Training Center of Shengli Oil Field，Sinopec , 2020.11-2021.11，¥3,456,000, completed, PI; 6. Key Techniques for Well-Logging Interpretation Expert Analysis Subsystem, Jingwei Corporation Ltd., Shengli Oil Field，Sinopec, 2020.07-2021.11，¥880,000, under research, PI.
◎Awards & Honors 1. Cognitive Neural Modelling for Visual Information Representation and Memory. Excellent Ph.D Dissertation, China University of Petroleum, 2019.11; 2 Multi-View Hessian Regularization and Its Applications in Multimedia Classification. Awarded the Third Advance Prize for The Excellent Scientific Research of Shandong Province, 2015.09, 2/2； 3. The Third Excellent Graduate Study Supervisors of Shandong Province, 2012.11;
◎Representative Publications 1.Yanjiang Wang*, Jichao Ma, Xue Chen, Chunyu Du.Resting brain activity emerges from wave propagating along spatiotemporal varying hyper-structural connectome. bioRxiv preprint doi: https://doi.org/10.1101/2021.10.11.464009 Oct., 2021, 1-30 2.Xue Chen, Yanjiang Wang*, Sebastian Kopetzky, Markus Butz-Ostendorf, and Marcus Kaiser*. Connectivity within regions characterizes epilepsy duration and treatment outcome. Human Brain Mapping, 19 Jul, 2021, 42(12):3777-3791.https://doi.org/10.1002/hbm.25464 （SCI,IF =5.038 , WOS: 000648948900001）（cover paper） 3.Xue Chen1*, Joe Necus1*, Luis R. Peraza1, Ramtin Mehraram1, Yanjiang Wang, John T. O'Brien, Andrew Blamire，Marcus Kaiser, Joln-Paul Taylor. The functional brain favours segregated modular connectivity at old age unless affected by neurodegeneration. Communications Biology, 2021, 4(1): 973. https/ /doi.org/10.1038/s42003-021-02497-0|www.nature.com/ commsbio（SCI, IF =6.268 , WOS: 000686725000005）（Nature Publishing Group） 4.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, May 2021, 18(5): 930-934. doi:10.1109/LGRS.2020.2988934 （SCI, IF = 3.966, WOS: 000642766600036） 5.Jichao Ma, Yanjiang Wang*, Baodi Liu, Weifeng Liu. Accurately modeling the human brain functional correlations with hypergraph Laplacian. Neurocomputing, Jan 2021,428: 239-247（SCI，IF=5.719, WOS:000610989800004） 6.Jichao Ma, Chunyu Du, Weifeng Liu, Yanjiang Wang*. Numerical simulation of higher-order nonlinearity of human brain functional connectivity using hypergraph p-Laplacian. Mathematics, 2021,9:2345,https://doi.org/10.3390/math9182345（SCI，IF=2.258, WOS: 000699724100001） 7.Wenhui Guo, Guixun Xu, Weifeng Liu, Baodi Liu, Yanjiang Wang*. CNN-combined graph residual network with multilevel featurefusion for hyperspectral image classification. IET Computer Vision.2021， 15:592-607. https: / / doi.org/10.1049/cvi2.12073（SCI,IF =1.95） 8.Linxia Xiao, Yanjiang Wang*, Baodi Liu, Weifeng Liu. Probabilistic Memory Model for Visual Images Categorization. Computing and Informatics, May 2021, 39 (6):1229-1249（SCI, IF =0.319, WOS: 000654237200005, doi: 10.31577/cai_2020_6_1229） 9.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. IEEE Journal of Translational Engineering in Health and Medicine. 17 June 2021, 9:4900810.doi:10.1109/JTEHM.2021.3090214.(SCI, IF=3.316, WOS:000688254600001) 10. 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 DOI: 10.1016/j.sigpro.2020.107697（SCI, IF=4.384, WOS：000566874300002） 11. Yanjiang Wang*, Xue Chen, Baodi Liu, Weifeng Liu, and Richard M. Shiffrin*. Understanding the relationship between human brain structure and function by predicting the structural connectivity from functional connectivity. IEEE Access,2020, 8: 209926-209938., DOI: 10.1109/ACCESS.2020.3039837（SCI, IF = 3.367, WOS:000596365000001） 12. Shuai Shao, Rui Xu, Weifeng Liu,Baodi Liu and Yanjiang Wang*. Label embedded dictionary learning for image classification. Neurocomputing, 2020,385:122-131 （SCI，IF=4.438, WOS: 000517884400012）
◎Patent 1. Method for Brain Structural Connectivity Optimization based on Feature Mapping，2020.09.30，ZL 201711260300.3 2. Method for working condition recognition of sucker-rod pumping wells based on Multi-View Learning， 2019.08.30，ZL 201811463075.8
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