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ORCIDShuang Li 0003
Person information
- affiliation: University of California, Los Angeles, Department of Mathematics, USA
- affiliation (former): Colorado School of Mines, Department of Electrical Engineering, Golden, CO, USA
- affiliation (former): Zhejiang University of Technology, Zhejiang Provincial Key Lab. for Signal Processing, Hangzhou, China
Other persons with the same name
- Shuang Li — disambiguation page
- Shuang Li 0001 — Chinese Academy of Sciences, Institute of Geographical Sciences and Natural Resources Research, Beijing, China (and 1 more)
- Shuang Li 0002 — Georgia Institute of Technology, School of Industrial and Systems Engineering, Atlanta, GA, USA
- Shuang Li 0004
![[0000-0001-9142-5036]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0001-9142-5036")
— Nanjing University of Aeronautics and Astronautics, College of Astronautics, China (and 1 more) - Shuang Li 0005 — Chongqing University of Technology, School of Electrical and Electronic Engineering, China
- Shuang Li 0006 — Shandong University of Science and Technology, College of Geomatics, Qingdao, China (and 1 more)
- Shuang Li 0007 — Google Fiber (and 1 more)
- Shuang Li 0008 — Beijing Institute of Technology, School of Computer Science and Technology, Beijing, China (and 2 more)
- Shuang Li 0009 — Wuhan Institute of Technology, School of Computer Science and Engineering / Hubei Province Key Laboratory of Intelligent Robot, China
- Shuang Li 0010 — Huaihua College, Department of Applied Mathematic, China
- Shuang Li 0011 — China University of Mining and Technology, School of Management, Xuzhou, China
- Shuang Li 0012 — Victoria University of Wellington, Victoria University of Wellington, New Zealand
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2020 – today
- 2023
[c14]Rachel Grotheer, Shuang Li, Anna Ma, Deanna Needell, Jing Qin:
Stochastic Natural Thresholding Algorithms. ACSSC 2023: 832-836- [c13]Shuang Li, William J. Swartworth, Martin Takác, Deanna Needell, Robert M. Gower:
SP2 : A Second Order Stochastic Polyak Method. ICLR 2023 - [i14]Rachel Grotheer, Shuang Li, Anna Ma, Deanna Needell, Jing Qin:
Stochastic Natural Thresholding Algorithms. CoRR abs/2306.04730 (2023) - 2022
- [j4]Shuang Li, Gongguo Tang, Michael B. Wakin:
Landscape Correspondence of Empirical and Population Risks in the Eigendecomposition Problem. IEEE Trans. Signal Process. 70: 2985-2999 (2022) - [i13]Shuang Li, William J. Swartworth, Martin Takác, Deanna Needell, Robert M. Gower:
SP2: A Second Order Stochastic Polyak Method. CoRR abs/2207.08171 (2022) - 2021
- [c12]Shuang Li, Deanna Needell, William Swartworth:
An Untrained One-layer Convolutional Network-based Method for Line Spectral Estimation. ACSCC 2021: 795-799 - [i12]Shuang Li, Payam Nayeri, Michael B. Wakin:
Digital Beamforming Robust to Time-Varying Carrier Frequency Offset. CoRR abs/2103.04948 (2021) - [i11]Shuang Li, Gongguo Tang, Michael B. Wakin:
Landscape Correspondence of Empirical and Population Risks in the Eigendecomposition Problem. CoRR abs/2106.06574 (2021) - [i10]Shuang Li, Michael B. Wakin:
Recovery Guarantees for Time-varying Pairwise Comparison Matrices with Non-transitivity. CoRR abs/2106.09151 (2021) - 2020
- [j3]Shuang Li, Qiuwei Li, Zhihui Zhu, Gongguo Tang, Michael B. Wakin:
The Global Geometry of Centralized and Distributed Low-rank Matrix Recovery Without Regularization. IEEE Signal Process. Lett. 27: 1400-1404 (2020) - [j2]Shuang Li, Michael B. Wakin, Gongguo Tang:
Atomic Norm Denoising for Complex Exponentials With Unknown Waveform Modulations. IEEE Trans. Inf. Theory 66(6): 3893-3913 (2020) - [c11]Shuang Li, Stephen Becker, Michael B. Wakin:
Nuclear Norm Based Spectrum Estimation for Molecular Dynamic Simulations. ACSSC 2020: 1457-1461 - [c10]Rachel Grotheer, Shuang Li, Anna Ma, Deanna Needell, Jing Qin:
Stochastic Iterative Hard Thresholding for Low-Tucker-Rank Tensor Recovery. ITA 2020: 1-5
2010 – 2019
- 2019
- [c9]Natalie Durgin, Rachel Grotheer, Chenxi Huang, Shuang Li, Anna Ma, Deanna Needell, Jing Qin:
Jointly Sparse Signal Recovery with Prior Info. ACSSC 2019: 645-649 - [c8]Natalie Durgin, Rachel Grotheer, Chenxi Huang, Shuang Li, Anna Ma, Deanna Needell, Jing Qin:
Fast Hyperspectral Diffuse Optical Imaging Method with Joint Sparsity. EMBC 2019: 4758-4761 - [c7]Shuang Li, Gongguo Tang, Michael B. Wakin:
Simultaneous Blind Deconvolution and Phase Retrieval with Tensor Iterative Hard Thresholding. ICASSP 2019: 2977-2981 - [c6]Shuang Li, Gongguo Tang, Michael B. Wakin:
The Landscape of Non-convex Empirical Risk with Degenerate Population Risk. NeurIPS 2019: 3502-3512 - [i9]Shuang Li, Michael B. Wakin, Gongguo Tang:
Atomic Norm Denoising for Complex Exponentials with Unknown Waveform Modulations. CoRR abs/1902.05238 (2019) - [i8]Shuang Li, Gongguo Tang, Michael B. Wakin:
The Landscape of Non-convex Empirical Risk with Degenerate Population Risk. CoRR abs/1907.05520 (2019) - [i7]Rachel Grotheer, Shuang Li, Anna Ma, Deanna Needell, Jing Qin:
Iterative Hard Thresholding for Low CP-rank Tensor Models. CoRR abs/1908.08479 (2019) - [i6]Rachel Grotheer, Shuang Li, Anna Ma, Deanna Needell, Jing Qin:
Stochastic Iterative Hard Thresholding for Low-Tucker-Rank Tensor Recovery. CoRR abs/1909.10132 (2019) - 2018
- [j1]Shuang Li, Dehui Yang, Gongguo Tang, Michael B. Wakin:
Atomic Norm Minimization for Modal Analysis From Random and Compressed Samples. IEEE Trans. Signal Process. 66(7): 1817-1831 (2018) - [i5]Natalie Durgin, Rachel Grotheer, Chenxi Huang, Shuang Li, Anna Ma, Deanna Needell, Jing Qin:
Compressed Anomaly Detection with Multiple Mixed Observations. CoRR abs/1801.10264 (2018) - [i4]Shuang Li, Hassan Mansour, Michael B. Wakin:
An Optimization View of MUSIC and Its Extension to Missing Data. CoRR abs/1806.03511 (2018) - 2017
- [c5]Qiuwei Li, Shuang Li, Hassan Mansour, Michael B. Wakin, Dehui Yang, Zhihui Zhu:
Jazz: A companion to music for frequency estimation with missing data. ICASSP 2017: 3236-3240 - [c4]Shuang Li, Dehui Yang, Michael B. Wakin:
Atomic norm minimization for modal analysis with random spatial compression. ICASSP 2017: 3251-3255 - [c3]Youye Xie, Shuang Li, Gongguo Tang, Michael B. Wakin:
Radar signal demixing via convex optimization. DSP 2017: 1-5 - [i3]Shuang Li, Dehui Yang, Gongguo Tang, Michael B. Wakin:
Atomic Norm Minimization for Modal Analysis from Random and Compressed Samples. CoRR abs/1703.00938 (2017) - [i2]Jing Qin, Shuang Li, Deanna Needell, Anna Ma, Rachel Grotheer, Chenxi Huang, Natalie Durgin:
Stochastic Greedy Algorithms For Multiple Measurement Vectors. CoRR abs/1711.01521 (2017) - [i1]Natalie Durgin, Rachel Grotheer, Chenxi Huang, Shuang Li, Anna Ma, Deanna Needell, Jing Qin:
Sparse Randomized Kaczmarz for Support Recovery of Jointly Sparse Corrupted Multiple Measurement Vectors. CoRR abs/1711.02743 (2017) - 2016
- [c2]Shuang Li, Dehui Yang, Michael B. Wakin:
Atomic norm minimization for modal analysis. ICME Workshops 2016: 1-2 - 2013
- [c1]Shuang Li, Qiuwei Li, Gang Li, Xiongxiong He, Liping Chang:
Simultaneous Sensing Matrix and Sparsifying Dictionary Optimization for Block-sparse Compressive Sensing. MASS 2013: 597-602
Coauthor Index
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