Laplace-Beltrami eigenfunctions for deformation invariant shape representation. - Raif M. Rustamov (Symposium on Geometry Processing, 2007)

Augmented Symmetry Transforms. - Raif M. Rustamov (Shape Modeling International, 2007)

Augmented planar reflective symmetry transform. - Raif M. Rustamov (Vis. Comput., 2008)

Template Based Shape Descriptor. - Raif M. Rustamov (3DOR@Eurographics, 2009)

On Mesh Editing, Manifold Learning, and Diffusion Wavelets. - Raif M. Rustamov (IMA Conference on the Mathematics of Surfaces, 2009)

Interior Distance Using Barycentric Coordinates. - Raif M. Rustamov; Yaron Lipman; Thomas A. Funkhouser (Comput. Graph. Forum, 2009)

Robust Volumetric Shape Descriptor. - Raif M. Rustamov (3DOR@Eurographics, 2010)

Barycentric Coordinates on Surfaces. - Raif M. Rustamov (Comput. Graph. Forum, 2010)

Biharmonic distance. - Yaron Lipman; Raif M. Rustamov; Thomas A. Funkhouser (ACM Trans. Graph., 2010)

A versatile framework for shape description. - Raif M. Rustamov (Vis. Comput., 2010)

Multiscale Biharmonic Kernels. - Raif M. Rustamov (Comput. Graph. Forum, 2011)

Average Interpolating Wavelets on Point Clouds and Graphs - Raif M. Rustamov (CoRR, 2011)

Interpolated eigenfunctions for volumetric shape processing. - Raif M. Rustamov (Vis. Comput., 2011)

Graph Matching with Anchor Nodes: A Learning Approach. - Nan Hu; Raif M. Rustamov; Leonidas J. Guibas (CVPR, 2013)

Wavelets on Graphs via Deep Learning. - Raif M. Rustamov; Leonidas J. Guibas (NIPS, 2013)

Map-based exploration of intrinsic shape differences and variability. - Raif M. Rustamov; Maks Ovsjanikov; Omri Azencot; Mirela Ben-Chen; Frédéric Chazal; Leonidas J. Guibas (ACM Trans. Graph., 2013)

Stable and Informative Spectral Signatures for Graph Matching. - Nan Hu; Raif M. Rustamov; Leonidas J. Guibas (CVPR, 2014)

Wasserstein Propagation for Semi-Supervised Learning. - Justin Solomon 001; Raif M. Rustamov; Leonidas J. Guibas; Adrian Butscher (ICML, 2014)

Compact and Informative Representation of Functional Connectivity for Predictive Modeling. - Raif M. Rustamov; David Romano; Allan L. Reiss; Leonidas J. Guibas (MICCAI (3), 2014)

Hyperalignment of Multi-subject fMRI Data by Synchronized Projections. - Raif M. Rustamov; Leonidas J. Guibas (MLINI@NIPS, 2014)

Earth mover's distances on discrete surfaces. - Justin Solomon 001; Raif M. Rustamov; Leonidas J. Guibas; Adrian Butscher (ACM Trans. Graph., 2014)

Continuous-Flow Graph Transportation Distances. - Justin Solomon 001; Raif M. Rustamov; Leonidas J. Guibas; Adrian Butscher (CoRR, 2016)

Distributed learning of human mobility patterns from cellular network data. - Tong Wu; Raif M. Rustamov; Colin Goodall (CISS, 2017)

Interpretable Graph-Based Semi-Supervised Learning via Flows. - Raif M. Rustamov; James T. Klosowski (AAAI, 2018)

Closed-form Expressions for Maximum Mean Discrepancy with Applications to Wasserstein Auto-Encoders. - Raif M. Rustamov (CoRR, 2019)

Characterizing and Learning Representation on Customer Contact Journeys in Cellular Services. - Shuai Zhao; Wen-Ling Hsu; George Ma; Tan Xu; Guy Jacobson; Raif M. Rustamov (KDD, 2020)

Cellular Network Traffic Prediction Incorporating Handover: A Graph Convolutional Approach. - Shuai Zhao; Xiaopeng Jiang; Guy Jacobson; Rittwik Jana; Wen-Ling Hsu; Raif M. Rustamov; Manoop Talasila; Syed Anwar Aftab; Yi Chen 001; Cristian Borcea (SECON, 2020)

Intrinsic Sliced Wasserstein Distances for Comparing Collections of Probability Distributions on Manifolds and Graphs. - Raif M. Rustamov; Subhabrata Majumdar (ICML, 2023)