Publications
Efficient Approximation and Denoising of Graph Signals Using the Multiscale Basis Dictionaries (with N. Saito), IEEE Transactions on Signal and Information Processing over Networks, vol. 3, no. 3, pp. 607-616, 2017.
Learning Sparsity and Structure of Matrices with Multiscale Graph Basis Dictionaries (with N. Saito), Proc. 2016 IEEE 26th International Workshop on Machine Learning for Signal Processing (MLSP), 2016.
Multiscale Transforms for Signals on Graphs: Methods and Applications Ph.D. dissertation, University of California, Davis, 2015.
Applied and Computational Harmonic Analysis on Graphs and Networks (with N. Saito), Wavelets and Sparsity XVI, (M. Papadakis, V. K. Goyal, D. Van De Ville, eds.), Proc. SPIE 9597, Paper #95971F, Invited paper, 2015.
The Generalized Haar-Walsh Transform (with N. Saito), Proc. 2014 IEEE Workshop on Statistical Signal Processing, pp. 472-475, 2014.
Hierarchical Graph Laplacian Eigen Transforms (with N. Saito), Japan SIAM Letters, vol. 6, pp. 21-24, 2014.
JSIAM best paper award (PDF)
Presentations
Multiscale Transforms for Signals on Graphs: Methods and Applications, delivered in April 2016 at Bosch Research and Technology Center in Palo Alto, CA.
Matrix Data Analysis using Hierarchical Co-Clustering and Multiscale Basis Dictionaries on Graphs, delivered by N. Saito at the 2016 Workshop on Harmonic Analysis, Graphs and Learning at the Hausdorff Research Institute for Mathematics in Bonn, Germany.
Multiscale Basis Dictionaries on Graphs and Their Applications to Matrix Data Analysis and Signal Segmentation, delivered by N. Saito at a 2015 Applied Mathematics Seminar at Yale.
Applied and Computational Harmonic Analysis on Graphs and Networks: Tools and Applications, delivered by N. Saito at the 2015 SPIE Conference on Wavelets and Sparsity XVI in San Diego, CA.
The Generalized Haar-Walsh Transform (GHWT) for Data Analysis on Graphs and Networks, delivered at the 2014 SIAM Annual Meeting in Chicago, IL.
The Generalized Haar-Walsh Transform (Poster), delivered at the 2014 Workshop on Algorithms for Modern Massive Data Sets in Berkeley, CA.
The Hierarchical Graph Laplacian Eigen Transform (HGLET) and Its Relatives for Data Analysis on Graphs and Networks, delivered by N. Saito at the 2014 AMS Joint Mathematics Meeting in Baltimore, MD.
Hierarchical Graph Laplacian Eigen Transforms, delivered at the 2013 Bay Area Scientific Computing Day at Lawrence Berkeley National Laboratory.
On Wavelet and Wavelet Packet Transforms on Graphs and Networks, delivered by N. Saito at the JSIAM 2013 Annual Meeting in Fukuoka, Japan.