Ke Wang

11 papers B 2Journal 9
YearRankTypeTitle / Venue / Authors
2024 J jnl
Matrices With Gaussian Noise: Optimal Estimates for Singular Subspace Perturbation.
IEEE Trans. Inf. Theory
Sean O'Rourke, Van Vu, Ke Wang
2023 J jnl
Limiting empirical spectral distribution for the non-backtracking matrix of an Erdős-Rényi random graph.
Comb. Probab. Comput.
Ke Wang, Philip Matchett Wood
2023 B conf
Optimal Subspace Perturbation Bounds under Gaussian Noise.
ISIT
Sean O'Rourke, Van Vu, Ke Wang
2019 J jnl
New Methods for Handling Singular Sample Covariance Matrices.
IEEE Trans. Inf. Theory
Gabriel H. Tucci, Ke Wang
2018 J jnl
Enhanced Expressive Power and Fast Training of Neural Networks by Random Projections.
CoRR
Jian-Feng Cai, Dong Li, Jiaze Sun, Ke Wang
2018 J jnl
Random perturbation and matrix sparsification and completion.
CoRR
Sean O'Rourke, Van Vu, Ke Wang
2016 J jnl
Eigenvectors of random matrices: A survey.
J. Comb. Theory A
Sean O'Rourke, Van Vu, Ke Wang
2015 J jnl
Random weighted projections, random quadratic forms and random eigenvectors.
Random Struct. Algorithms
Van H. Vu, Ke Wang
2013 J jnl
Sparse random graphs: Eigenvalues and eigenvectors.
Random Struct. Algorithms
Linh V. Tran, Van H. Vu, Ke Wang
2012 B conf
An innovative approach for analysing rank deficient covariance matrices.
ISIT
Gabriel H. Tucci, Ke Wang
2011 J jnl
New Methods for Handling Singular Sample Covariance Matrices
CoRR
Gabriel H. Tucci, Ke Wang