462 citations · 1.7k across the 50 of their papers we have counts for
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Random Multi-Constraint Projection: Stochastic Gradient Methods for Convex Optimization with Many Constraints
Mengdi Wang, Yichen Chen, Jialin Liu +1
Consider convex optimization problems subject to a large number of constraints. We focus on stochastic problems in which the objective takes the form of expected values and the fea…
Local Measurement and Reconstruction for Noisy Graph Signals
Xiaohan Wang, Jiaxuan Chen, Yuantao Gu
The emerging field of signal processing on graph plays a more and more important role in processing signals and information related to networks. Existing works have shown that unde…
On the Null Space Constant for Minimization
Laming Chen, Yuantao Gu
The literature on sparse recovery often adopts the "norm" as the penalty to induce sparsity of the signal satisfying an underdetermined linear system. The perfo…
A Distributed Tracking Algorithm for Reconstruction of Graph Signals
Xiaohan Wang, Mengdi Wang, Yuantao Gu
The rapid development of signal processing on graphs provides a new perspective for processing large-scale data associated with irregular domains. In many practical applications, i…
Restricted Isometry Property of Subspace Projection Matrix Under Random Compression
Xinyue Shen, Yuantao Gu
Structures play a significant role in the field of signal processing. As a representative of structural data, low rank matrix along with its restricted isometry property (RIP) has…