Projects per year
Personal profile
Research interests
Mathematics & Statistics - Discrete mathematics and combinatorics
Mathematics & Statistics - Probabilistic combinatorics
Mathematics & Statistics - Random matrices
Mathematics & Statistics - Random structures
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
Related documents
Education/Academic qualification
PhD in Mathematics, PhD, Rutgers - The State University of New Jersey, Camden
2013
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Collaborations and top research areas from the last five years
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Eigenvalues and eigenvectors of structured random matrices
WANG, K. (PI)
1/01/20 → 30/06/23
Project: Research
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Spectral statistics of random graphs and kernels of random matrices
WANG, K. (PI)
1/01/19 → 30/06/22
Project: Research
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Matrices With Gaussian Noise: Optimal Estimates for Singular Subspace Perturbation
O'Rourke, S., Vu, V. & Wang, K., 1 Mar 2024, In: IEEE Transactions on Information Theory. 70, 3, p. 1978-2002 25 p.Research output: Contribution to journal › Journal Article › peer-review
2 Citations (Scopus) -
Asymptotic Properties of Random Restricted Partitions
Jiang, T. & Wang, K., Jan 2023, In: Mathematics. 11, 2, 417.Research output: Contribution to journal › Journal Article › peer-review
Open Access -
Limiting empirical spectral distribution for the non-backtracking matrix of an Erd˝os-Rényi random graph
Wang, K. & Wood, P. M., 1 Nov 2023, In: Combinatorics Probability and Computing. 32, 6, p. 956-973 18 p.Research output: Contribution to journal › Journal Article › peer-review
Open Access2 Citations (Scopus) -
Optimal Subspace Perturbation Bounds under Gaussian Noise
O'Rourke, S., Vu, V. & Wang, K., 2023, 2023 IEEE International Symposium on Information Theory, ISIT 2023. Institute of Electrical and Electronics Engineers Inc., p. 2601-2606 6 p. (IEEE International Symposium on Information Theory - Proceedings; vol. 2023-June).Research output: Chapter in Book/Conference Proceeding/Report › Conference Paper published in a book › peer-review
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STATISTICAL INFERENCE FOR PRINCIPAL COMPONENTS OF SPIKED COVARIANCE MATRICES
Bao, Z., Ding, X., Wang, J. & Wang, K., Apr 2022, In: Annals of Statistics. 50, 2, p. 1144-1169 26 p.Research output: Contribution to journal › Journal Article › peer-review
26 Citations (Scopus)
Activities
- 5 Editorial work
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Proceedings of the AMS (Journal)
WANG, K. (Referee)
1 Jan 2018 → …Activity: Publication peer-review and editorial work › Editorial work
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Random Matrices: Theory and Applications (Journal)
WANG, K. (Referee)
1 Jan 2018 → …Activity: Publication peer-review and editorial work › Editorial work
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Annals of Statistics (Journal)
WANG, K. (Referee)
1 Jan 2016 → …Activity: Publication peer-review and editorial work › Editorial work
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Information and Inference: A Journal of the IMA (Journal)
WANG, K. (Referee)
1 Jan 2016 → …Activity: Publication peer-review and editorial work › Editorial work
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International Mathematics Research Notices (Journal)
WANG, K. (Referee)
1 Jan 2016 → …Activity: Publication peer-review and editorial work › Editorial work