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Hongbin Guo
Assistant research professor
 
 Department of Mathematics and Statistics
Arizona State University

Building GWC, Room 668  
Phone: 480-965-8002
 

                                   Computational Mathematics

  1. Wang-Juh Chen, Hongbin Guo, Rosemary A Renaut and Kewei Chen, A New SVM Model for Classifying Genetic Data. 2010 International Conference on Bioinformatics, Computational Biology, Genomics and Chemoinformatics (BCBGC-10), accepted.

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  2. Rosemary A Renaut, Youzuo Lin and Hongbin Guo, Multisplitting for Regularized Least Squares, NLAA, in revision.

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  3. Youzuo Lin, Brendt Wohlberg and Hongbin Guo,  UPRE Method for Total Variation Parameter Selection, Signal Processing, in press.

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  4. Hongbin Guo and Rosemary Renaut, An Structured Data Least Squares Algorithm for Zero-Forcing Equalization, in Recent Advances in Computational Sciences: Selected Papers from the International Workshop on Computational Sciences and Its Education, edited by  Palle Jorgensen, Xiaoping Shen and Chi-Wang Shu, World Scientific Publishing, 304-317, 2008.

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  5. Hongbin Guo and Rosemary Renaut, Parallel Variable Distribution for Total Least Squares, Numerical Linear Algebra with Application, 2005, 12:859-876.

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  6. Rosemary Renaut and Hongbin Guo, Efficient Algorithms for Solution of Regularized Total Least Squares. SIAM Journal on Matrix Analysis and Applications, 2005,26(2), 457-476.

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  7. Hongbin Guo and Rosemary Renaut, Estimation of uT f(A)v for large-scale unsymmetric matrices. Numerical Linear Algebra with applications. vol. 11, 75-89, 2004.

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  8. Hongbin Guo and Rosemary Renaut, A Regularized Total Least Squares algorithme. in Sabine Van Huffel and Philippe Lemmerling, In Total Least Squares and Errors-in-Variables Modeling: Analysis, Algorithms and Applications, Kluwer Academic Publishers, 2002, 57-66
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  9. Hongbin Guo, IRR: An Algorithm for Computing the Smallest Singular Value of Large-Scale Matrices. International J. of Computer Math., vol.77,no. 1. 2001, 89-104.

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  10. Jiang Chuanhai and Guo Hongbin, Approximation by Neural Network in Lp (Rn ) and System Identification , Chinese Annals of Mathematics, Series A, Vol. 21, No. 4 (2000),417-422 (Selected to Chinese J. of Contemporary Mathematics, Vol.21, No.3(2000), 201-208.).

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  11. Hongbin Guo, Computing Traces of Functions of Matrices. Numerical Mathematics, A Journal of Chinese Universities (English series ), 2( 2000), 204-215.

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                                       Medical Imaging
  12. Hongbin Guo,   Rosemary A Renaut,  Revisiting Stopping Rules for Iterative Methods used in Emission Tomography, submitted.

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  13. Wolfgang Stefan, K. Chen, Hongbin Guo, Rosemary Renaut and Svetlana
    Roudenko,       Wavelet-based denoising of positron emission tomography
    scans    ,      International Journal of Biomedical Imaging, inpress.

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  14. H. Guo,  R. Renaut, K. Chen, E. Reiman.  Reducing Modeling Error of Graphical Methods for Estimating Volume of Distribution Measurements in PIB-PET study,   Mathematical Biosciences, accepted.

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  15. Haewon Nam, Rosemary A Renaut, Kewei Chen, Hongbin Guo and Gerald Farin, Improved inter-modality image registration using normalized mutual information with coarse-binned histograms, Communications in Numerical Methods in Engineering, 2009(25), 583-595.

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  16.  Hongbin Guo,  Kewei Chen, Rosemary A Renaut and   Eric M Reiman, Reducing the noise effects in Logan graphic analysis for PET receptor measurements, proceedings of the 2009 IEEE/CME International Conference on Complex Medical Engineering.

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  17.   H. Guo,  R. Renaut, K. Chen, E. Reiman. FDG-PET Parametric Imaging by Total Variation Minimization, ,  Computerized Medical Imaging and Graphics, , volume 33, issue 4, page 295-303, 2009.

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  18. K. Chen, X. Chen, R. Renaut, G. Alexander, D. Bandy, H. Guo and E. Reiman, Characterization of the image-derived carotid artery input function using independent component analysis for the quantitation of [18F] fluorodeoxyglucose positron emission tomography images, Physics in Medicine and Biology. 2007, vol 52. 7055-7071.

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  19. Hongbin Guo, Rosemary Renaut and  Kewei Chen, An input function estimation method for FDG-PET human brain studies, Nucl Med Biol. 2007, 34(5): 483-92.

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  20. Prasanna K Velamuru, Rosemary A. Renaut, Hongbin Guo and Kewei Chen, Robust Clustering of PET data, Proceedings of the Joint Annual Meeting of the Interface and the Classification Society of North America, St.Louis, USA, 2005.

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  21. Hongbin Guo, Rosemary Renaut and Kewei Chen, Clustering for three dimensional Kinetic PET Data,  IEEE International Conference on Data Mining, Clustering Large Data Sets Workshop, page 43-48. Melbourne, Florida , ICDM2003.

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  22. Hongbin Guo, Rosemary Renaut, Kewei Chen and Eric Reiman, Clustering Huge Data Sets for Parametric PET Imaging. Biosystems, 2003, 71, 1-2, 81-92 .

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  23. Hongbin Guo and Risen Ou, Error Analysis of Inverse RADON Transform. Journal of Shanghai University of Technology , Vol. 15, No. 1 (1994), 42-57.
   

 

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last update: 12/5/2009