Ke Wang

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 7

Top Topics

Top Venues

IEEE Trans. Inf. Theory

Comb. Probab. Comput.

Publications

Sean O'Rourke, Van Vu, Ke Wang
Matrices With Gaussian Noise: Optimal Estimates for Singular Subspace Perturbation. IEEE Trans. Inf. Theory 70 (3) (2024)
Ke Wang, Philip Matchett Wood
Limiting empirical spectral distribution for the non-backtracking matrix of an Erdős-Rényi random graph. Comb. Probab. Comput. 32 (6) (2023)
Sean O'Rourke, Van Vu, Ke Wang
Optimal Subspace Perturbation Bounds under Gaussian Noise. ISIT (2023)
Gabriel H. Tucci, Ke Wang
New Methods for Handling Singular Sample Covariance Matrices. IEEE Trans. Inf. Theory 65 (2) (2019)
Sean O'Rourke, Van Vu, Ke Wang
Random perturbation and matrix sparsification and completion. CoRR (2018)
Jian-Feng Cai, Dong Li, Jiaze Sun, Ke Wang
Enhanced Expressive Power and Fast Training of Neural Networks by Random Projections. CoRR (2018)
Sean O'Rourke, Van Vu, Ke Wang
Eigenvectors of random matrices: A survey. J. Comb. Theory, Ser. A 144 (2016)
Van H. Vu, Ke Wang
Random weighted projections, random quadratic forms and random eigenvectors. Random Struct. Algorithms 47 (4) (2015)
Linh V. Tran, Van H. Vu, Ke Wang
Sparse random graphs: Eigenvalues and eigenvectors. Random Struct. Algorithms 42 (1) (2013)
Gabriel H. Tucci, Ke Wang
An innovative approach for analysing rank deficient covariance matrices. ISIT (2012)
Gabriel H. Tucci, Ke Wang
New Methods for Handling Singular Sample Covariance Matrices CoRR (2011)