Guangliang Chen

boat Department of Mathematics
Duke University, PO Box 90320
Durham, NC 27708-0320

Office: 222 Physics Bldg.
Phone: (919) 660-2878
Fax: (919) 660-2821
Email: my email address shown here

Teaching Research Publications

Academic Bio

I have been a Visiting Assistant Professor at Duke Mathematics department, since August 2009. I work with Dr. Mauro Maggioni on novel construction of multiscale dictionaries for point-cloud data with applications to images. I graduated with a PhD in Applied Mathematics from the University of Minnesota in July 2009. My advisor was Dr. Gilad Lerman, and my dissertation work was on subspace clustering.

Research Interest

High Dimensional Data Modeling and Analysis, Manifold Learning/Multi-manifold Modeling, Sparse Representation/Dictionary Learning

Research Projects

Current

X-Ray Scatter and Phase Imaging for Explosive Detection
Anomaly Detection in Hyperspectral Imaging via Density Estimation
Geometric MultiResolution Analysis in Non-Euclidean Spaces
Multiscale Dictionary Learning for Imaging Applications

Past

Publications

Journal Papers

Multiscale Geometric Methods for Data Sets II: Geometric Multi-Resolution Analysis. W.K. Allard, G. Chen and M. Maggioni. Applied and Computational Harmonic Analysis (ACHA), 32(3): 435-462. Second place in the list of Top 25 Hottest Articles published on ACHA in 2011 full year
Spectral Clustering based on Local Linear Approximations. E. Arias-Castro, G. Chen and G. Lerman. Electronic Journal of Statistics, 5: 1537-1587, 2011
Spectral Curvature Clustering (SCC). G. Chen and G. Lerman. Int. J. Comput. Vis., 81: 317-330, 2009
Foundations of a Multi-way Spectral Clustering Framework for Hybrid Linear Modeling. G. Chen and G. Lerman. Found. Comput. Math., 9: 517-558, 2009
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, 23(3): 314-320, 2007

Conference Papers

A Fast Multiscale Framework for Data in High-Dimensions: Measure Estimation, Anomaly Detection, and Compressive Measurements, G. Chen, M. Iwen, S. Chin, and M. Maggioni, To appear in Visual Communications and Image Processing (VCIP), San Diego, November 2012
Multiscale Geometric and Spectral Analysis of Plane Arrangements, G. Chen and M. Maggioni, IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), Colorado Springs, CO, June 2011
Multiscale Geometric Dictionaries for Point-Cloud Data, G. Chen, and M. Maggioni, The 9th International Conference on Sampling Theory and Applications (SampTA), Singapore, May 2011
Data Representation and Exploration with Geometric Wavelets, E. Monson, G. Chen, R. Brady, and M. Maggioni, IEEE Symposium on Visual Analytics Science and Technology (VAST), Salt Lake City, UT, 2010
Multiscale Geometric Wavelets for the Analysis of Point Clouds, G. Chen and M. Maggioni, The 44th Annual Conference on Information Sciences and Systems (CISS), Princeton, NJ, 2010
Kernel Spectral Curvature Clustering (KSCC), G. Chen, S. Atev and G. Lerman, The 4th ICCV International Workshop on Dynamical Vision, Kyoto, Japan, 2009 (best paper award)
Motion Segmentation for Hopkins155 Database via SCC, G. Chen and G. Lerman, The 4th ICCV International Workshop on Dynamical Vision, Kyoto, Japan, 2009

Book Chapters

Some Recent Advances in the Geometric Analysis of Point Clouds in High Dimensions, G. Chen, A.V. Little, M. Maggioni and L. Rosasco, in Wavelets and Multiscale Analysis: Theory and Applications, March 2011, Springer
Multi-Resolution Geometric Analysis for Data in High Dimensions, G. Chen, A.V. Little, and M. Maggioni, in Excursions in Harmonic Analysis, Springer, New York

Technical Report

Multiscale Analysis for Muon-Scattering Data, G. Chen, G. Lerman and R. Chartrand, Technical Report LA-UR 06-7504 (2006), Los Alamos National Laboratory

PhD Thesis

Spectral Curvature Clustering for Hybrid Linear Modeling, Guangliang Chen, University of Minnesota, July 2009

Useful Links

Last updated on 10/26/2012.