Guangliang Chen
Visiting Assistant Professor

Department of Mathematics
Duke University, P.O. Box 90320
Durham, NC 27708-0320
Office: 222 Physics Bldg.
Phone: (919) 660-2878
glchen AT math DOT duke DOT edu

Academic Bio

• I am currently a postdoc working with Prof. Mauro Maggioni on Multiscale SVD and its application to Molecular Dynamics.
• I graduated from the University of Minnesota with a PhD degree in Applied Mathematics in July 2009.
  
• My thesis advisor was Prof. Gilad Lerman.
• My dissertation work was on hybrid linear modeling, i.e., modeling data using linear manifolds.
• I received my BS degree in Mathematics from the University of Science & Technology of China in 2003.

Research Interests

Analysis of High Dimensional Data Sets, Multi-manifold Modeling, Multiscale Analysis

Research Projects

• Multiscale SVD, Diffusion Geometry and their applications to Molecular Dymanics
• Kernel Spectral Curvature Clustering
• Spectral Curvature Clustering
• Multiscale Strip Construction with applications to Bioinformatics and Muon Scattering
  

Publications

• Kernel Spectral Curvature Clustering (KSCC), G. Chen, S. Atev and G. Lerman, 2009 ICCV Workshop on Dynamical Vision, Kyoto, Japan
• Motion Segmentation for Hopkins155 Databse via SCC, G. Chen and G. Lerman, 2009 ICCV Workshop on Dynamical Vision, Kyoto, Japan
• Spectral Curvature Clustering (SCC), G. Chen and G. Lerman, Int. J. Comput. Vis. (2009) 81: 317–330
• Foundations of a Multi-way Spectral Clustering Framework for Hybrid Linear Modeling, G. Chen and G. Lerman, Found. Comput. Math. (2009) 9: 517–558
  
• Functional Genomics via Multiscale Analysis: Application to Gene Expression and ChIP-on-chip Data, G. Lerman, J. McQuown, A. Blais, B. Dynlacht, G. Chen and B. Mishra, Bioinformatics, vol. 23 no. 3 (2007), pp. 314-320 
• Multiscale Analysis for Muon-Scattering Data, G. Chen, G. Lerman and R. Chartrand, Technical Report LA-UR 06-7504 (2006), Los Alamos National Laboratory

Talks

• Spectral Curvature Clustering for Hybrid Linear Modeling, Applied Math Seminar, Duke University, 09/28/2009
• Spectral Curvature Clustering, Junior Colloquium, School of Mathematics, University of Minnesota, 04/2008
  

Links

1. AN INTRODUCTION TO STOCHASTIC DIFFERENTIAL EQUATIONS

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Last updated on 11/4/2009.