4 citations · 8 across the 3 of their papers we have counts for
6 papers
Solving Orthogonal Group Synchronization via Convex and Low-Rank Optimization: Tightness and Landscape Analysis
Shuyang Ling
Group synchronization aims to recover the group elements from their noisy pairwise measurements. It has found many applications in community detection, clock synchronization, and j…
Strong Consistency, Graph Laplacians, and the Stochastic Block Model
Shaofeng Deng, Shuyang Ling, Thomas Strohmer
Spectral clustering has become one of the most popular algorithms in data clustering and community detection. We study the performance of classical two-step spectral clustering via…
On the Critical Coupling of the Finite Kuramoto Model on Dense Networks
Shuyang Ling
Kuramoto model is one of the most prominent models for the synchronization of coupled oscillators. It has long been a research hotspot to understand how natural frequencies, the in…
On the Landscape of Synchronization Networks: A Perspective from Nonconvex Optimization
Shuyang Ling, Ruitu Xu, Afonso S. Bandeira
Studying the landscape of nonconvex cost function is key towards a better understanding of optimization algorithms widely used in signal processing, statistics, and machine learnin…
Certifying Global Optimality of Graph Cuts via Semidefinite Relaxation: A Performance Guarantee for Spectral Clustering
Shuyang Ling, Thomas Strohmer
Spectral clustering has become one of the most widely used clustering techniques when the structure of the individual clusters is non-convex or highly anisotropic. Yet, despite its…
Rapid, Robust, and Reliable Blind Deconvolution via Nonconvex Optimization
Xiaodong Li, Shuyang Ling, Thomas Strohmer +1
We study the question of reconstructing two signals and from their convolution . This problem, known as {\em blind deconvolution}, pervades many areas of scien…