Ke Wang

Orcid: 0000-0001-8128-3441

Affiliations:
  • Hong Kong University of Science and Technology, Jockey Club Institute for Advanced Study, Hong Kong
  • California Institute of Technology, Pasadena, CA, USA
  • Rutgers University, Department of Mathematics, Piscataway, NJ, USA (former)


According to our database1, Ke Wang authored at least 10 papers between 2012 and 2024.

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Bibliography

2024
Matrices With Gaussian Noise: Optimal Estimates for Singular Subspace Perturbation.
IEEE Trans. Inf. Theory, 2024

2023
Limiting empirical spectral distribution for the non-backtracking matrix of an Erdős-Rényi random graph.
Comb. Probab. Comput., November, 2023

Optimal Subspace Perturbation Bounds under Gaussian Noise.
Proceedings of the IEEE International Symposium on Information Theory, 2023

2019
New Methods for Handling Singular Sample Covariance Matrices.
IEEE Trans. Inf. Theory, 2019

2018
Enhanced Expressive Power and Fast Training of Neural Networks by Random Projections.
CoRR, 2018

Random perturbation and matrix sparsification and completion.
CoRR, 2018

2016
Eigenvectors of random matrices: A survey.
J. Comb. Theory A, 2016

2015
Random weighted projections, random quadratic forms and random eigenvectors.
Random Struct. Algorithms, 2015

2013
Sparse random graphs: Eigenvalues and eigenvectors.
Random Struct. Algorithms, 2013

2012
An innovative approach for analysing rank deficient covariance matrices.
Proceedings of the 2012 IEEE International Symposium on Information Theory, 2012


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