27 citations · 50 across the 5 of their papers we have counts for
6 papers
Multiresolution Representations for Piecewise-Smooth Signals on Graphs
Siheng Chen, Aarti Singh, Jelena Kovačević
What is a mathematically rigorous way to describe the taxi-pickup distribution in Manhattan, or the profile information in online social networks? A deep understanding of represent…
Detecting Localized Categorical Attributes on Graphs
Siheng Chen, Yaoqing Yang, Shi Zong +2
Do users from Carnegie Mellon University form social communities on Facebook? Do signal processing researchers from tightly collaborate with each other? Do Chinese restaurants in M…
Signal Representations on Graphs: Tools and Applications
Siheng Chen, Rohan Varma, Aarti Singh +1
We present a framework for representing and modeling data on graphs. Based on this framework, we study three typical classes of graph signals: smooth graph signals, piecewise-const…
Signal Recovery on Graphs: Fundamental Limits of Sampling Strategies
Siheng Chen, Rohan Varma, Aarti Singh +1
This paper builds theoretical foundations for the recovery of a newly proposed class of smooth graph signals, approximately bandlimited graph signals, under three sampling strategi…
A statistical perspective of sampling scores for linear regression
Siheng Chen, Rohan Varma, Aarti Singh +1
In this paper, we consider a statistical problem of learning a linear model from noisy samples. Existing work has focused on approximating the least squares solution by using lever…
Signal Recovery on Graphs: Random versus Experimentally Designed Sampling
Siheng Chen, Rohan Varma, Aarti Singh +1
We study signal recovery on graphs based on two sampling strategies: random sampling and experimentally designed sampling. We propose a new class of smooth graph signals, called ap…