Shuyang Ling

31 papers Misc 1Journal 30
YearRankTypeTitle / Venue / Authors
2025 J jnl
Cross Entropy versus Label Smoothing: A Neural Collapse Perspective.
Trans. Mach. Learn. Res.
Li Guo, George Andriopoulos, Zifan Zhao, Zixuan Dong, Shuyang Ling, Keith W. Ross
2025 J jnl
Generalized Orthogonal Procrustes Problem under Arbitrary Adversaries.
SIAM J. Matrix Anal. Appl.
Shuyang Ling
2024 J jnl
Beyond Unconstrained Features: Neural Collapse for Shallow Neural Networks with General Data.
CoRR
Wanli Hong, Shuyang Ling
2024 J jnl
Cross Entropy versus Label Smoothing: A Neural Collapse Perspective.
CoRR
Li Guo, Keith W. Ross, Zifan Zhao, George Andriopoulos, Shuyang Ling, Yufeng Xu, Zixuan Dong
2024 J jnl
Neural Collapse for Unconstrained Feature Model under Cross-entropy Loss with Imbalanced Data.
J. Mach. Learn. Res.
Wanli Hong, Shuyang Ling
2024 J jnl
On the Exactness of SDP Relaxation for Quadratic Assignment Problem.
CoRR
Shuyang Ling
2024 J jnl
Uncertainty Quantification of Spectral Estimator and MLE for Orthogonal Group Synchronization.
CoRR
Ziliang Samuel Zhong, Shuyang Ling
2023 J jnl
Improved theoretical guarantee for rank aggregation via spectral method.
CoRR
Ziliang Samuel Zhong, Shuyang Ling
2023 J jnl
Local Geometry Determines Global Landscape in Low-rank Factorization for Synchronization.
CoRR
Shuyang Ling
2023 J jnl
Neural Collapse for Unconstrained Feature Model under Cross-entropy Loss with Imbalanced Data.
CoRR
Wanli Hong, Shuyang Ling
2023 J jnl
Solving orthogonal group synchronization via convex and low-rank optimization: tightness and landscape analysis.
Math. Program.
Shuyang Ling
2022 J jnl
Improved Performance Guarantees for Orthogonal Group Synchronization via Generalized Power Method.
SIAM J. Optim.
Shuyang Ling
2021 J jnl
Generalized Power Method for Generalized Orthogonal Procrustes Problem: Global Convergence and Optimization Landscape Analysis.
CoRR
Shuyang Ling
2021 J jnl
Near-Optimal Bounds for Generalized Orthogonal Procrustes Problem via Generalized Power Method.
CoRR
Shuyang Ling
2021 J jnl
Strong Consistency, Graph Laplacians, and the Stochastic Block Model.
J. Mach. Learn. Res.
Shaofeng Deng, Shuyang Ling, Thomas Strohmer
2020 J jnl
Certifying Global Optimality of Graph Cuts via Semidefinite Relaxation: A Performance Guarantee for Spectral Clustering.
Found. Comput. Math.
Shuyang Ling, Thomas Strohmer
2020 J jnl
Improved Performance Guarantees for Orthogonal Group Synchronization via Generalized Power Method.
CoRR
Shuyang Ling
2020 J jnl
Near-Optimal Performance Bounds for Orthogonal and Permutation Group Synchronization via Spectral Methods.
CoRR
Shuyang Ling
2020 J jnl
Solving Orthogonal Group Synchronization via Convex and Low-Rank Optimization: Tightness and Landscape Analysis.
CoRR
Shuyang Ling
2020 J jnl
Strong Consistency, Graph Laplacians, and the Stochastic Block Model.
CoRR
Shaofeng Deng, Shuyang Ling, Thomas Strohmer
2020 J jnl
When do birds of a feather flock together? k-Means, proximity, and conic programming.
Math. Program.
Xiaodong Li, Yang Li, Shuyang Ling, Thomas Strohmer, Ke Wei
2019 J jnl
On the Landscape of Synchronization Networks: A Perspective from Nonconvex Optimization.
SIAM J. Optim.
Shuyang Ling, Ruitu Xu, Afonso S. Bandeira
2018 J jnl
Certifying Global Optimality of Graph Cuts via Semidefinite Relaxation: A Performance Guarantee for Spectral Clustering.
CoRR
Shuyang Ling, Thomas Strohmer
2018 J jnl
Self-Calibration and Bilinear Inverse Problems via Linear Least Squares.
SIAM J. Imaging Sci.
Shuyang Ling, Thomas Strohmer
2017 J jnl
Blind Deconvolution Meets Blind Demixing: Algorithms and Performance Bounds.
IEEE Trans. Inf. Theory
Shuyang Ling, Thomas Strohmer
2017 J jnl
Regularized Gradient Descent: A Nonconvex Recipe for Fast Joint Blind Deconvolution and Demixing.
CoRR
Shuyang Ling, Thomas Strohmer
2016 J jnl
Rapid, Robust, and Reliable Blind Deconvolution via Nonconvex Optimization.
CoRR
Xiaodong Li, Shuyang Ling, Thomas Strohmer, Ke Wei
2016 J jnl
Self-Calibration via Linear Least Squares.
CoRR
Shuyang Ling, Thomas Strohmer
2016 Misc conf
Simultaneous blind deconvolution and blind demixing via convex programming.
ACSSC
Shuyang Ling, Thomas Strohmer
2015 J jnl
Blind Deconvolution Meets Blind Demixing: Algorithms and Performance Bounds.
CoRR
Shuyang Ling, Thomas Strohmer
2015 J jnl
Self-Calibration and Biconvex Compressive Sensing.
CoRR
Shuyang Ling, Thomas Strohmer