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Career
·
Assistant Professor
,
University at Albany
2021–
·
Assistant Adjunct Professor
,
University of California, Los Angeles
2021–
·
Ph.D. in Mathematics
,
New York University
2017–
·
Postdoctoral Researcher
,
University of British Columbia
2017–2021
Publications
(15)
Are we there yet? Manifold identification of gradient-related proximal methods
International Conference on Artificial Intelligence and Statistics · 2019
32
cited
Convergence of the randomized Kaczmarz method for phase retrieval
arXiv.org · 2017
30
cited
Sub‐Gaussian Matrices on Sets: Optimal Tail Dependence and Applications
Communications on Pure and Applied Mathematics · 2020
19
cited
NBIHT: An Efficient Algorithm for 1-Bit Compressed Sensing With Optimal Error Decay Rate
IEEE Transactions on Information Theory · 2020
14
cited
Atomic Decomposition via Polar Alignment: The Geometry of Structured Optimization
Found. Trends Optim. · 2020
12
cited
Atomic Decomposition via Polar Alignment
2020
5
cited
Non-Gaussian Random Matrices on Sets:Optimal Tail Dependence and Applications
International Conference on Sampling Theory and Applications · 2019
4
cited
Sparse linear representation
2009 IEEE International Symposium on Information Theory · 2009
4
cited
Polar Alignment and Atomic Decomposition
arXiv.org · 2019
3
cited
Polar Deconvolution of Mixed Signals
IEEE Transactions on Signal Processing · 2020
3
cited
Federated Gradient Matching Pursuit
IEEE Transactions on Information Theory · 2023
2
cited
Linear Convergence of Reshuffling Kaczmarz Methods With Sparse Constraints
arXiv.org · 2023
1
cited
Approximate methods for phase retrieval via gauge duality
2020
Manifold identification of gradient-related proximal methods : Appendix
2019
The Geometry of Structured Optimization
2020
Sotabase
Halyun Jeong | Researcher Profile | Sotabase | Sotabase