Research
Grants
- NSF DMS-2307827 — Recovering structured signals: atoms, matrix separation, and applications. PI, 2023–2027.
- NSF DMS-1908880 (2050028) — Recovering Signals Sparse in a Frame: Theory and Applications. PI, 2019–2023.
Peer Reviewed Journal Publications
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22
Xuemei Chen, David MacQueen, Wendy Donlin Washington, Mark Lammers, Owen Deen, Sean Carey, and Margot Ledford, gmsEDA: Decomposition of Electrodermal Activity Signals Using Matrix Separation, Submitted, 2026. GitHub
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21
Katherine Boot, Qianqian Liu, Xuemei Chen, Jeonghwa Lee, Fred Scharf, Yizhen Li. Linking Physical Features to Southern Flounder Recruitment: A Statistical Modeling Approach. Submitted, 2026.
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20
Radel Ben Av, Xuemei Chen, Assaf Goldberger, Kasso Okoudjou. Abelian and Dihedral equiangular tight frames of redundancy 2. Submitted, 2025.
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19
Xuemei Chen, Owen Deen. The Generalized Matrix Separation Problem: Algorithms. accepted by BIT Numerical Mathematics, 2026.
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18
Xuemei Chen, Rongrong Wang. The Masked Matrix Separation Problem: A First Analysis. Submitted, 2025.
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17
Xuemei Chen, Christian Kuemmerle, Rongrong Wang. Sparse Recovery for Overcomplete Frames: Sensing Matrices and Recovery Guarantees. In: Sampling, Frames, and Harmonic Analysis. Applied and Numerical Harmonic Analysis. Birkhäuser, 2026.
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- 14
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13
Xuemei Chen, Julia Dobrosotskaya. Inpainting via sparse recovery with directional constraints. Mathematical Foundations of Computing, 2020, 3(4): 229–247.
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11
Xuemei Chen, Victor Gonzales, Eric Goodman, Shujie Kang, Kasso Okoudjou. Universal optimal configurations for the p-frame potentials. Advances in Computational Mathematics, 46.1 (2020): 4.
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10
Pete Casazza, Xuemei Chen, Richard Lynch. Preserving Injectivity under Subgaussian Mappings and Its Application to Compressed Sensing. Applied and Computational Harmonic Analysis, 49.2 (2020): 451–470.
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9
Xuemei Chen. The Kaczmarz algorithm, row action methods, and statistical learning algorithms. Contemporary Mathematics, 2018, Volume 706.
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8
Pete Casazza, Xuemei Chen. Frame Scalings: A Condition Number Approach. Linear Algebra and its Applications, 523 (2017): 152–168.
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7
Jameson Cahill, Xuemei Chen, Rongrong Wang. The gap between the null space property and the restricted isometry property. Linear Algebra and its Applications, 501 (2016): 363–375.
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6
Noreen Jamil, Xuemei Chen, Alex Cloninger. Hildreth's Algorithm with Applications to Soft Constraints for User Interface Layout. Journal of Computational and Applied Mathematics, 288 (2015): 193–202.
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5
Xuemei Chen, Gitta Kutyniok, Kasso A. Okoudjou, Friedrich Philipp, Rongrong Wang. Measures of scalability. IEEE Transactions on Information Theory, 61.8 (2015): 4410–4423.
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4
Xuemei Chen, Alex Powell. Fusion frames and randomized subspace actions. Constructive Approximation, 43.1 (2016): 103–134.
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3
Xuemei Chen, Rongrong Wang, Haichao Wang. A null space analysis of the ℓ₁ synthesis method in dictionary-based compressed sensing. Applied and Computational Harmonic Analysis, 37.3 (2014): 492–515.
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2
Xuemei Chen, Alex Powell. Almost sure convergence for the Kaczmarz algorithm with random measurements. Journal of Fourier Analysis and Applications, 18, no. 6, 1195–1214, 2012.
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1
Akram Aldroubi, Xuemei Chen, Alex Powell. Perturbations of measurement matrices and dictionaries in compressed sensing. Applied and Computational Harmonic Analysis, 33.2 (2012): 282–291.
Conference Papers & Others
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Xuemei Chen, Yang Chu, Min Zheng. Identify Equivalent Frames. preprint, 2019. (with undergraduate students)
- Xuemei Chen, Rongrong Wang. Tightness of stability bounds by null space property. SPIE Proceedings, Vol. 9597, 2015.
- Xuemei Chen, Rongrong Wang, Haichao Wang. A null space property approach to compressed sensing with frames. Proceedings of SampTA 2013. arXiv
- Jameson Cahill, Xuemei Chen. A note on scalable frames. Proceedings of SampTA 2013. arXiv
- Akram Aldroubi, Xuemei Chen, Alex Powell. Stability and robustness of Lq minimization using null space property. Proceedings of SampTA 2011, Singapore. PDF
- Xuemei Chen. Stability of compressed sensing for dictionaries and almost sure convergence rate for the Kaczmarz algorithm. Dissertation, Vanderbilt University, 2012.