Simultaneous Sensing Matrix and Sparsifying Dictionary Optimization for Block-sparse Compressive Sensing. - Shuang Li 003; Qiuwei Li; Gang Li 010; Xiongxiong He; Liping Chang (MASS, 2013)

Atomic norm minimization for modal analysis. - Shuang Li 003; Dehui Yang; Michael B. Wakin (ICME Workshops, 2016)

Jazz: A companion to music for frequency estimation with missing data. - Qiuwei Li; Shuang Li 003; Hassan Mansour; Michael B. Wakin; Dehui Yang; Zhihui Zhu (ICASSP, 2017)

Atomic norm minimization for modal analysis with random spatial compression. - Shuang Li 003; Dehui Yang; Michael B. Wakin (ICASSP, 2017)

Radar signal demixing via convex optimization. - Youye Xie; Shuang Li 003; Gongguo Tang; Michael B. Wakin (DSP, 2017)

Stochastic Greedy Algorithms For Multiple Measurement Vectors. - Jing Qin 003; Shuang Li 003; Deanna Needell; Anna Ma; Rachel Grotheer; Chenxi Huang 006; Natalie Durgin (CoRR, 2017)

Sparse Randomized Kaczmarz for Support Recovery of Jointly Sparse Corrupted Multiple Measurement Vectors. - Natalie Durgin; Rachel Grotheer; Chenxi Huang 006; Shuang Li 003; Anna Ma; Deanna Needell; Jing Qin 003 (CoRR, 2017)

Compressed Anomaly Detection with Multiple Mixed Observations. - Natalie Durgin; Rachel Grotheer; Chenxi Huang 006; Shuang Li 003; Anna Ma; Deanna Needell; Jing Qin 003 (CoRR, 2018)

An Optimization View of MUSIC and Its Extension to Missing Data. - Shuang Li 003; Hassan Mansour; Michael B. Wakin (CoRR, 2018)

Atomic Norm Minimization for Modal Analysis From Random and Compressed Samples. - Shuang Li 003; Dehui Yang; Gongguo Tang; Michael B. Wakin (IEEE Trans. Signal Process., 2018)

Jointly Sparse Signal Recovery with Prior Info. - Natalie Durgin; Rachel Grotheer; Chenxi Huang 006; Shuang Li 003; Anna Ma; Deanna Needell; Jing Qin 003 (ACSSC, 2019)

Fast Hyperspectral Diffuse Optical Imaging Method with Joint Sparsity. - Natalie Durgin; Rachel Grotheer; Chenxi Huang 006; Shuang Li 003; Anna Ma; Deanna Needell; Jing Qin 003 (EMBC, 2019)

Simultaneous Blind Deconvolution and Phase Retrieval with Tensor Iterative Hard Thresholding. - Shuang Li 003; Gongguo Tang; Michael B. Wakin (ICASSP, 2019)

The Landscape of Non-convex Empirical Risk with Degenerate Population Risk. - Shuang Li 003; Gongguo Tang; Michael B. Wakin (NeurIPS, 2019)

Iterative Hard Thresholding for Low CP-rank Tensor Models. - Rachel Grotheer; Shuang Li 003; Anna Ma; Deanna Needell; Jing Qin 003 (CoRR, 2019)

Nuclear Norm Based Spectrum Estimation for Molecular Dynamic Simulations. - Shuang Li 003; Stephen Becker; Michael B. Wakin (ACSSC, 2020)

Stochastic Iterative Hard Thresholding for Low-Tucker-Rank Tensor Recovery. - Rachel Grotheer; Shuang Li 003; Anna Ma; Deanna Needell; Jing Qin 003 (ITA, 2020)

The Global Geometry of Centralized and Distributed Low-rank Matrix Recovery Without Regularization. - Shuang Li 003; Qiuwei Li; Zhihui Zhu; Gongguo Tang; Michael B. Wakin (IEEE Signal Process. Lett., 2020)

Atomic Norm Denoising for Complex Exponentials With Unknown Waveform Modulations. - Shuang Li 003; Michael B. Wakin; Gongguo Tang (IEEE Trans. Inf. Theory, 2020)

An Untrained One-layer Convolutional Network-based Method for Line Spectral Estimation. - Shuang Li 003; Deanna Needell; William Swartworth (ACSCC, 2021)

Digital Beamforming Robust to Time-Varying Carrier Frequency Offset. - Shuang Li 003; Payam Nayeri; Michael B. Wakin (CoRR, 2021)

Recovery Guarantees for Time-varying Pairwise Comparison Matrices with Non-transitivity. - Shuang Li 003; Michael B. Wakin (CoRR, 2021)

Landscape Correspondence of Empirical and Population Risks in the Eigendecomposition Problem. - Shuang Li 003; Gongguo Tang; Michael B. Wakin (IEEE Trans. Signal Process., 2022)

Stochastic Natural Thresholding Algorithms. - Rachel Grotheer; Shuang Li 003; Anna Ma; Deanna Needell; Jing Qin 003 (ACSSC, 2023)

SP2 : A Second Order Stochastic Polyak Method. - Shuang Li 003; William J. Swartworth; Martin Takác 001; Deanna Needell; Robert M. Gower (ICLR, 2023)