Yang Wenlu (杨文璐), Male , Associate Professor , Doctor .
Email：whaleryang@hotmail.com.
Position:
Associate professor, department of electronic engineering, college of information engineering, Shanghai Maritime University.
Research interest:
Acquisition and processing of biological signals, brain-computer interface, analysis and understanding of magnetic resonance images, perception and coding of visual information, machine learning, pattern recognition, and computer vision.
Education Background:
He received the B.S. degree in process automation from Nanjing University of Technology, China, in 1990, the M.S. degree in computer application from Dalian Maritime University, China, in 1998, and the Dr. Eng. degree in computer software and theory from department of Computer Science and Engineering, Shanghai Jiao Tong University, in 2008.
Work experience:
2008.9-2009.10, visiting scholar, Biomedical Informatics and Chemin- formatics Group, Conjugate and Medical Chemistry Laboratory, Department of Radiology, Brigham and Women’s Hospital, Harvard Medical School, Boston, USA.
1998.7-Now, department of electronic engineering, college of information engineering, Shanghai Maritime University, Shanghai, China;
1990.7-1995.7, workshop of insulin, Xuzhou Biochemicalpharma ceutical Factory, Jiangsu Province, China.
Teaching:
Digital Circuit, Microcomputer fundamentals and interfaces
Research:
His research work supported from 1 grant from the national natural science foundation of China, 2 grants from the Ministry of Transport of the People’s Republic of China, 2 grants from the Science and Technology Commission of Shanghai Municipality, 1 grant from Innovation Program of Shanghai Municipal Education Commission, 3 grants from Shanghai Maritime University, and several from others.
[1] 2012-2015: Research on key techniques of generality of mutual rehabilitation training based on brain-computer interface, Science and Technology Commission of Shanghai Municipality (Grant No. 12441903500).
[2] 2012-2014: Research on method of condition monitoring safty driving based on information fusion of sensors, Ministry of Transport of the People’s Republic of China.
[3] 2012-2014: Research on Bi-modality imaging biomarkers of Alzheimer’s disease at the early stage, Innovation Program of Shanghai Municipal Education Commission (Grant No. 12YZ116),
[4] 2010-2012: Research on key techniques and intelligent perception system of driver’s alertness for traffic safety, Ministry of Transport of the People’s Republic of China.
[5] 2009-2012: Research on key techniques of brain-computer interface based on motion imaginary, National natural science foundation of China (Grant No 60905056).
[6] 2009-2011：ICA-based Search For Alzheimer’s MRI Neuroimaging Biomarkers, Shanghai Maritime University.
[7] 2008-2010: Research on key techniques of multi-task brain-computer interface, Shanghai Maritime University.
[8] 2006-2007: System of acquisition and processing of EP signals, Shanghai Xingyu electronic device Co. Ltd.
Publication:
He has published about 40 papers in English or Chinese in journals and proceedings of which 5 papers were indexed by SCI, about 20 papers by EI.
[1] Yang Wenlu, Ronald L.M. Lui, Jia-Hong Gao, Tony F. Chan, Shing-Tung Yau, Reisa A. Sperling and Xudong Huang, Independent component analysis-based classification of Alzheimer’s MRI data. Journal of Alzheimer’s Disease, 24(3): 1-9, 2011(SCI).
[2] Wenlu Yang, Liqing Zhang, and Libo Ma. Computational Model for Perception of Objects and Motions. Science in China Series C: Life Sciences(中国科学C生命科学), 51(6):526-536, 2008 (SCI).
[3] Wen Jiahong, Yang Wenlu. Design and realization of the drawing software for snowice stratigraphic profile. CHINESE JOURNAL OF POLAR SCIENCE 2003.
[4] 杨文璐，张丽清. 微生物种群测序序列统计聚类方法, 计算机研究与发展, 2005.
[5] 杨文璐.单片机仿真软件设计与实现，计算机应用，2004.
[6] 杨文璐. 基于数据库的多媒体文档管理. 上海海事大学学报. 2003.
[7] 杨文璐, 温家洪. 雪冰地层剖面绘图软件的设计与实现. 冰川冻土. 2001.
[8] Xiongjun Pi, Wenlu Yang, Liqing Zhang. Blind Clustering of DNA Fragments based on Kullback-Leibler Divergence. Lecture Notes In Computer Science, 3610: 1043- 1046, 2005. (SCI)
[9] Wenlu Yang, Xiongjun Pi, Liqing Zhang. Similarity Analysis of DNA Sequences Based on the Relative Entropy. Lecture Notes In Computer Science, 3610: 1035-1038, 2005. (SCI)
[10]Wenlu Yang, Liqing Zhang and Wenjun Zhu. Head Pose Estimation Based on Tensor Factorization. Lecture Notes in Computer Science, 4984: 831-840, 2008.(EI)
[11]Wenlu Yang, Liqing Zhang, and Libo Ma. Perception of Transformation-invariance in the Visual Pathway. Lecture Notes In Computer Science, 4666: 657-664, 2007 (EI)
[12]Yang Wenlu, Li Xiaojuan, and Huang Xudong, Automatic classification of Alzheimer’s patients and age-matched healthy subjects using independent component analysis. BEMI 2011: 151-154 (EI).
[13]Wenlu Yang, Fangyu He, Xinyun Chen, and Xudong Huang, ICA-based automatic classification of PET images from ADNI database, Lecture Notes in Bioinformatics, 7062:265-272, 2011.(EI)
[14]Chen Xinyun, Yang Wenlu, and Huang Xudong, ICA-based classification of MCI vs HC, Proceedings – 2011 7th International Conference on Natural Computation, 1658-1662,2011.(EI)
[15]Yang, Wenlu, Chen, Xinyun, Xie, Hong, Huang, Xudong, ICA-based automatic classification of magnetic resonance images from ADNI data. Lecture Notes in Bioinformatics, 6330:340-347, 2010. (EI)
[16]Wenlu Yang, Fang Gao, Hong Xie, Lok Ming Lui, Xudong Huang, Automatic Classification of Magnetic Resonance Images using Hippocampal Atrophy Analysis, CACS2010, Singapore.
[17]Yang, Wenlu, Xia, Halei, Xia, Bin, Lui, Lok Ming, Huang, Xudong, ICA-based feature extraction and automatic classification of AD-related MRI data, Proceeding of 2010 6th International Conference on Natural Computation, 1261-1265, 2010. (EI)
[18]Wenlu Yang and Liqing Zhang. Spatiotemporal Feature Extraction Based on Invariance Representation. IEEE CFP08IJX-CDR: 928-933,IJCNN’2008 (EI).
[19]Wenlu Yang, Liqing Zhang and Libo Ma. Computational Model for Rotation- Invariant Perception. Proceedings Third International Conference on Natural Computation, ICNC 2007, 144-148, 2007. (EI)
[20]Wenlu Yang, Liqing Zhang. Microbial Communities DNA Sequences Classification Based on Transition Matrix. Proceedings of 2005 International Conference on Neural Networks and Brain Proceedings, ICNNB’05, 722-727, 2005. (EI)