Shuyang Ling

According to our database, Shuyang Ling authored at least 20 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Cross Entropy versus Label Smoothing: A Neural Collapse Perspective.

Li Guo, Keith W. Ross, Zifan Zhao, George Andriopoulos, Shuyang Ling, Yufeng Xu, Zixuan Dong

CoRR, 2024

2023

Solving orthogonal group synchronization via convex and low-rank optimization: tightness and landscape analysis.

Shuyang Ling

Math. Program., 2023

Local Geometry Determines Global Landscape in Low-rank Factorization for Synchronization.

Shuyang Ling

CoRR, 2023

Neural Collapse for Unconstrained Feature Model under Cross-entropy Loss with Imbalanced Data.

Wanli Hong, Shuyang Ling

CoRR, 2023

Improved theoretical guarantee for rank aggregation via spectral method.

Ziliang Samuel Zhong, Shuyang Ling

CoRR, 2023

2022

Improved Performance Guarantees for Orthogonal Group Synchronization via Generalized Power Method.

Shuyang Ling

SIAM J. Optim., 2022

2021

Strong Consistency, Graph Laplacians, and the Stochastic Block Model.

Shaofeng Deng, Shuyang Ling, Thomas Strohmer

J. Mach. Learn. Res., 2021

Near-Optimal Bounds for Generalized Orthogonal Procrustes Problem via Generalized Power Method.

Shuyang Ling

CoRR, 2021

Generalized Power Method for Generalized Orthogonal Procrustes Problem: Global Convergence and Optimization Landscape Analysis.

Shuyang Ling

CoRR, 2021

2020

When do birds of a feather flock together? k-Means, proximity, and conic programming.

Xiaodong Li, Yang Li, Shuyang Ling, Thomas Strohmer, Ke Wei

Math. Program., 2020

Certifying Global Optimality of Graph Cuts via Semidefinite Relaxation: A Performance Guarantee for Spectral Clustering.

Shuyang Ling, Thomas Strohmer

Found. Comput. Math., 2020

Near-Optimal Performance Bounds for Orthogonal and Permutation Group Synchronization via Spectral Methods.

Shuyang Ling

CoRR, 2020

2019

On the Landscape of Synchronization Networks: A Perspective from Nonconvex Optimization.

Shuyang Ling, Ruitu Xu, Afonso S. Bandeira

SIAM J. Optim., 2019

2018

Self-Calibration and Bilinear Inverse Problems via Linear Least Squares.

Shuyang Ling, Thomas Strohmer

SIAM J. Imaging Sci., 2018

2017

Blind Deconvolution Meets Blind Demixing: Algorithms and Performance Bounds.

Shuyang Ling, Thomas Strohmer

IEEE Trans. Inf. Theory, 2017

Regularized Gradient Descent: A Nonconvex Recipe for Fast Joint Blind Deconvolution and Demixing.

Shuyang Ling, Thomas Strohmer

CoRR, 2017

2016

Self-Calibration via Linear Least Squares.

Shuyang Ling, Thomas Strohmer

CoRR, 2016

Rapid, Robust, and Reliable Blind Deconvolution via Nonconvex Optimization.

Xiaodong Li, Shuyang Ling, Thomas Strohmer, Ke Wei

CoRR, 2016

Simultaneous blind deconvolution and blind demixing via convex programming.

Shuyang Ling, Thomas Strohmer

Proceedings of the 50th Asilomar Conference on Signals, Systems and Computers, 2016

2015

Self-Calibration and Biconvex Compressive Sensing.

Shuyang Ling, Thomas Strohmer

CoRR, 2015