Prof. WANG Bin

 Biography
Prof. Bin Wang received his B.S. and M.S. degrees on Communication and Electronic Systems from XiDian University, Xian, China, in 1985 and 1988, respectively, and his Ph.D. degree on System Science from Kobe University, Japan, in1999. After his graduation from XiDian University, he had worked at XiDian University as a teacher. From 1999 to 2000, he had worked for Communications Research Laboratory, Ministry of Posts and Telecommunications, Japan, as a
Research Fellow. Then, as a Senior Supervisor, he had worked for the Department of Etching in Tokyo Electron AT Ltd., Japan, from 2001 to 2002. Since Sept. 2002, he has been with the Department of Electronic Engineering, Fudan University, Shanghai, China, where he is currently a leader of image and intelligence laboratory. He has published more than 60 scientific papers in the domestic and international important periodicals, and has several patents.
 
Research Fields
His present research interests are signal and image processing, pattern recognition, remote sensing image processing, intelligent information processing and brain science research, etc. They mainly include: (1) multispectral/hyperspectral remote sensing image processing and analysis, (2) automatic target detection and recognition, (3) visual attention selective models and their applications in image processing, (4) intelligent information processing theory, methods and
applications, (5) EEG and MEG signal processing and analysis.
 
Selected Publications
1. Jing Jin, Bin Wang*, Liming Zhang, A novel approach based on Fisher discriminant null space for decomposition of mixed pixels in hyperspectral imagery, IEEE Geoscience and Remote Sensing Letters, Vol.7, No.4, pp.699-703, October 2010.
2. Lifan Liu, Bin Wang*, Liming Zhang, An approach based on self-organizing map and fuzzy membership for decomposition of mixed pixels in hyperspectral imagery, Pattern Recognition Letters, Vol.31, pp.1388-1395, 2010.
3. Qi Ma, Liming Zhang* and Bin Wang, New strategy for image and video quality assessment, Journal of Electronic Imaging, Vol.19, No.1, 011019, pp. 1-14, Jan.-Mar. 2010
4.Xuetao Tao, Bin Wang*, and Liming Zhang, Orthogonal bases approach for decomposition of mixed pixels for
hyperspectral imagery. IEEE Geoscience and Remote Sensing Letters, Vol.6, No.2, pp.219-223, April 2009.
5.Lifan Liu, Bin Wang*, Liming Zhang, Decomposition of mixed pixels based on bayesian self-organizing map and
Gaussian mixture model, Pattern Recognition Letters, Vol.30, pp.820-826, 2009.
6.Xuetao Tao, Bin Wang*, Liming Zhang, A new approach based on orthogonal bases of data space to decomposition of mixed pixels for hyperspectral imagery. Science in China Series F: Information Sciences, Vol.52, No.5, pp.843-857, May 2009.
7.Zhirong Ge, Bin Wang*, Liming Zhang, Remote Sensing Image Fusion Based on Baysian Linear Estimation,
Science in China Series F: Information Sciences, Vol.50, No.2, pp.227-240, April 2007.
8. Xuming Huang, Bin Wang*, Liming Zhang, A new scheme for extraction of affine invariant descriptor and affine motion estimation based on independent component analysis, Pattern Recognition Letters, Vol.26, pp.1244-1255, 2005.
9.Hao Zhou, Bin Wang*, Liming Zhang, New scheme for decomposition of mixed pixels of remote sensing images, Journal of Infrared and Millimeter Waves, Vol.24, No.6, pp.463-466, Dec. 2005.
10.Bin Wang*, and Liming Zhang, Automated detection and removal of ghost noise from SAR image using wavelet packet transform, IEEE Transactions on Geoscience and Remote Sensing, Vol.41,No.10, pp.2409-2414, Oct. 2003.

1. multispectral/hyperspectral remote sensing image processing and analysis,
2. automatic target detection and recognition,
3. visual attention selective models and their applications in image processing,
4. intelligent information processing theory, methods and applications,
5. EEG and MEG signal processing and analysis.

1. Yubin Niu, and Bin Wang*, Extracting Target Spectrum for Hyperspectral Target Detection: An Adaptive Weighted Learning Method Using a Self-Completed Background Dictionary, IEEE Transactions on Geoscience and Remote Sensing, Vol. 55, No. 3, pp.1604-1617, Mar. 2017.
2. Yixiu Wang, Bin Wang*, Xiaofeng Wu, and Liming Zhang, Scanpath Estimation Based on Foveated Image Saliency, Cognitive Processing, Vol. 18, No. 1, pp.87–95, Feb. 2017.
3. Bin Yang, Wenfei Luo, and Bin Wang, Constrained Nonnegative Matrix Factorization Based on Particle Swarm Optimization for Hyperspectral Unmixing, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol.10, No.8, pp.3693-3710, Aug. 2017.
4. Zhao Chen, and Bin Wang, Spectrally-Spatially Regularized Low-Rank and Sparse Decomposition: A Novel Method for Change Detection in Multitemporal Hyperspectral Images, Remote Sensing, Vol.9, No.10:1044, pp.1-21, Oct. 20179.
5. Jiayan Cao, and Bin Wang*, Embedding Learning on Spectral-Spatial Graph for Semisupervised Hyperspectral Image Classification, IEEE Geoscience and Remote Sensing Letters, Vol.14, No.10, pp.1805-1809, Oct. 2017.
6. Qi Lv, Bin Wang*, and Liming Zhang, Saliency Computation via Whitened Frequency Band Selection, Cognitive Neurodynamics, Vol.10, No.3, pp.255-267, June 2016.
7. Zhao Chen, and Bin Wang*, Spectral-Spatial Classification Based on Affinity Scoring for Hyperspectral Imagery, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol.9, No.6, pp.2305-2320, June 2016.
8. Yubin Niu, and Bin Wang*, Hyperspectral Anomaly Detection Based on Low-Rank Representation and Learned Dictionary, Remote Sensing, Vol. 8, No. 4: 289, pp.1-17, Mar. 2016.
9. Zhao Chen, and Bin Wang*, Spectral-Spatial Classification for Hyperspectral Imagery: A Novel Combination Method Based on Affinity Scoring, Science China: Information Sciences, Vol.59, No.10:102313, pp.1-13, Oct. 2016.
10. Hanye Pu, Zhao Chen, Bin Wang*, and Wei Xia, Constrained Least Squares Algorithms for Nonlinear Unmixing of Hyperspectral Imagery, IEEE Transactions on Geoscience and Remote Sensing, Vol. 53, No. 3, pp.1287-1303, Mar. 2015.
11. Dan Zhu, Bin Wang*, and Liming Zhang, Airport Target Detection in Remote Sensing Images: A New Method Based on Two-way Saliency, IEEE Geoscience and Remote Sensing Letters, Vol. 12, No. 5, pp.1096-1100, May 2015.
12. Yubin Niu, and Bin Wang*, Hyperspectral Target Detection Using Learned Dictionary, IEEE Geoscience and Remote Sensing Letters, Vol. 12, No. 7, pp.1531-1535, July 2015.
13. Zhao Chen, and Bin Wang*, Semisupervised Spectral-Spatial Classification of Hyperspectral Imagery with Affinity Scoring, IEEE Geoscience and Remote Sensing Letters, Vol. 12, No. 8, pp.1710-1714, Aug. 2015.
14. Hanye Pu, Wei Xia, Bin Wang*, and Geng-Ming Jiang, A Fully Constrained Linear Spectral Unmixing Algorithm Based on Distance Geometry, IEEE Transactions on Geoscience and Remote Sensing, Vol.52, No.2, pp.1157-1176, Feb. 2014.
15. Hanye Pu, Zhao Chen, Bin Wang*, and Geng-Ming Jiang, A Novel Spatial-Spectral Similarity Measure for Dimensionality Reduction and Classification of Hyperspectral Imagery, IEEE Transactions on Geoscience and Remote Sensing, Vol. 52, No. 11, pp.7008-7022, Nov. 2014.
16. Zhao Chen, Hanye Pu, Bin Wang*, and Geng-Ming Jiang, Fusion of Hyperspectral and Multispectral Images: A Novel Framework Based on Generalization of Pan-sharpening Methods, IEEE Geoscience and Remote Sensing Letters, Vol. 11, No. 8, pp.1418-1422, Aug. 2014.
17. Wei Xia, Bin Wang*, and Liming Zhang, Band Selection for Hyperspectral Imagery: A New Approach Based on Complex Networks, IEEE Geoscience and Remote Sensing Letters, Vol.10, No.5, pp.1229-1233, Sept. 2013.
18. Xin Wang, Qi Lv, Bin Wang*, and Liming Zhang, Airport detection in remote sensing images: A method based on saliency map, Cognitive Neurodynamics, Vol.7, No.2, pp.143-154, 2013.
19. Yilu Zhao, Xiong Chen, and Bin Wang, Real-Time Sound Source Localization Using Hybrid Framework, Applied Acoustics, Vol.74, No.12, pp.1367-1373, 2013.
20. Jialin Chen, Lingli Wang, Edoardo Charbon, and Bin Wang, Programmable architecture for quantum computing, Physical Review A, Vol.88, No.2, Aug. 2013.
21. Wei Xia, Hanye Pu, Bin Wang*, Liming Zhang, Triangular Factorization-Based Simplex Algorithms for Hyperspectral Unmixing, IEEE Transactions on Geoscience and Remote Sensing, Vol.51, No.11, pp.4420-4440, Nov. 2012.
22. Zhenghu Ding, Ying Yu, Bin Wang*, Liming Zhang, An Approach for Visual Attention Based on Biquaternion and Its Application for Ship Detection in Multispectral Imagery, Neurocomputing, Vol.76, Issue 1, pp.9-17, January 2012.
23. Xuesong Liu, Wei Xia, Bin Wang*, and Liming Zhang, An Approach Based on Constrained Nonnegative Matrix Factorization to Unmix Hyperspectral Data, IEEE Transactions on Geoscience and Remote Sensing, Vol.49, No.2, pp.757-772, Feb. 2011.
24. Wei Xia, Xuesong Liu, Bin Wang* and Liming Zhang, Independent Component Analysis for Blind Unmixing of Hyperspectral Imagery with Additional Constraints, IEEE Transactions on Geoscience and Remote Sensing, Vol.49, No.6, pp.2165-2179, June 2011.
25. Ying Yu, Bin Wang*, and Liming Zhang, Hebbian-Based Neural Networks for Bottom-Up Attention and Its Applications to Ship Detection in SAR Images, Neurocomputing, Vol.74, Issue 11, pp.2008-2017, May 2011.
26. Ying Yu, Bin Wang*, and Liming Zhang, Bottom-Up Attention: Pulsed PCA Transform and Pulsed Cosine Transform, Cognitive Neurodynamics, Vol.5, pp.321-332, Sept. 2011.
27. Jing Jin, Bin Wang*, and Liming Zhang, A Novel Approach Based on Fisher Discriminant Null Space for Decomposition of Mixed Pixels in Hyperspectral Imagery, IEEE Geoscience and Remote Sensing Letters, Vol.7, No.4, pp.699-703, October 2010.
28. Lifan Liu, Bin Wang*, and Liming Zhang, An Approach Based on Self-Organizing Map and Fuzzy Membership for Decomposition of Mixed Pixels in Hyperspectral Imagery, Pattern Recognition Letters, Vol.31, pp.1388-1395, 2010.
29. Ying Yu, Bin Wang*, and Liming Zhang, Saliency-Based Compressive Sampling for Image Signals. IEEE Signal Processing Letters, Vol.17, No.11, pp.973-976, Nov. 2010.
30. Qi Ma, Liming Zhang, and Bin Wang, New Strategy for Image and Video Quality Assessment, Journal of Electronic Imaging, Vol.19, No.1, 011019, pp. 1-14, Jan-Mar 2010.
31. Xuetao Tao, Bin Wang*, and Liming Zhang, Orthogonal Bases Approach for Decomposition of Mixed Pixels in Hyperspectral Imagery. IEEE Geoscience and Remote Sensing Letters, Vol.6, No.2, pp.219-223, April 2009.
32. Lifan Liu, Bin Wang*, Liming Zhang, Decomposition of Mixed Pixels Based on Bayesian Self-Organizing Map and Gaussian Mixture Model, Pattern Recognition Letters, Vol.30, Issue 9, pp.820-826, July 2009.
33. Xuetao Tao, Bin Wang*, Liming Zhang, A new approach based on orthogonal bases of data space to decomposition of mixed pixels for hyperspectral imagery. Science in China Series F: Information Sciences, Vol.52, No.5, pp.843-857, May 2009.
34. Zhe Chen, Jianting Cao, Yang Cao, Yue Zhang, Fanji Gu, Guoxian Zhu, Zhen Hong, Bin Wang, and Andrzej Cichocki, An empirical EEG analysis in brain death diagnosis for adults, Cognitive Neurodynamics, Vol.2, No.3, pp.257-271, Sept. 2008.
35. Zhirong Ge, Bin Wang*, and Liming Zhang, Remote Sensing Image Fusion Based on Bayesian Linear Estimation, Science in China Series F: Information Sciences, Vol.50, No.2, pp.227-240, April 2007.
36. Xuming Huang, Bin Wang, and Liming Zhang, A New Scheme for Extraction of Affine Invariant Descriptor and Affine Motion Estimation Based on Independent Component Analysis, Pattern Recognition Letters, Vol.26, pp.1244-1255, 2005.
37. Bin Wang*, Jieming Ma, and Liming Zhang, “Processing and Analysis of Magnetoencephalographic Data Based on Independent Component Analysis,” Chinese Journal of Clinical Rehabilitation, Vol.9, No.28, pp.254-256, July 2005.
38. Bin Wang*, and Liming Zhang, Automated Removal of Ghost Noise From SAR Images Using Wavelet Packet Transform, IEEE Transactions on Geoscience and Remote Sensing, Vol.41, No.10, pp.2409-2414, Oct. 2003.