Shuang Li

Orcid: 0000-0003-3729-7496

Affiliations:
  • University of California, Los Angeles, Department of Mathematics, USA
  • Colorado School of Mines, Department of Electrical Engineering, Golden, CO, USA (former)
  • Zhejiang University of Technology, Zhejiang Provincial Key Lab. for Signal Processing, Hangzhou, China (former)


According to our database1, Shuang Li authored at least 25 papers between 2013 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
SP2 : A Second Order Stochastic Polyak Method.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Stochastic Natural Thresholding Algorithms.
Proceedings of the 57th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2023, Pacific Grove, CA, USA, October 29, 2023

2022
Landscape Correspondence of Empirical and Population Risks in the Eigendecomposition Problem.
IEEE Trans. Signal Process., 2022

2021
Recovery Guarantees for Time-varying Pairwise Comparison Matrices with Non-transitivity.
CoRR, 2021

Digital Beamforming Robust to Time-Varying Carrier Frequency Offset.
CoRR, 2021

An Untrained One-layer Convolutional Network-based Method for Line Spectral Estimation.
Proceedings of the 55th Asilomar Conference on Signals, Systems, and Computers, 2021

2020
Atomic Norm Denoising for Complex Exponentials With Unknown Waveform Modulations.
IEEE Trans. Inf. Theory, 2020

The Global Geometry of Centralized and Distributed Low-rank Matrix Recovery Without Regularization.
IEEE Signal Process. Lett., 2020

Stochastic Iterative Hard Thresholding for Low-Tucker-Rank Tensor Recovery.
Proceedings of the Information Theory and Applications Workshop, 2020

Nuclear Norm Based Spectrum Estimation for Molecular Dynamic Simulations.
Proceedings of the 54th Asilomar Conference on Signals, Systems, and Computers, 2020

2019
Iterative Hard Thresholding for Low CP-rank Tensor Models.
CoRR, 2019

The Landscape of Non-convex Empirical Risk with Degenerate Population Risk.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Simultaneous Blind Deconvolution and Phase Retrieval with Tensor Iterative Hard Thresholding.
Proceedings of the IEEE International Conference on Acoustics, 2019

Fast Hyperspectral Diffuse Optical Imaging Method with Joint Sparsity.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

Jointly Sparse Signal Recovery with Prior Info.
Proceedings of the 53rd Asilomar Conference on Signals, Systems, and Computers, 2019

2018
Atomic Norm Minimization for Modal Analysis From Random and Compressed Samples.
IEEE Trans. Signal Process., 2018

An Optimization View of MUSIC and Its Extension to Missing Data.
CoRR, 2018

Compressed Anomaly Detection with Multiple Mixed Observations.
CoRR, 2018

2017
Sparse Randomized Kaczmarz for Support Recovery of Jointly Sparse Corrupted Multiple Measurement Vectors.
CoRR, 2017

Stochastic Greedy Algorithms For Multiple Measurement Vectors.
CoRR, 2017

Radar signal demixing via convex optimization.
Proceedings of the 22nd International Conference on Digital Signal Processing, 2017

Atomic norm minimization for modal analysis with random spatial compression.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Jazz: A companion to music for frequency estimation with missing data.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

2016
Atomic norm minimization for modal analysis.
Proceedings of the 2016 IEEE International Conference on Multimedia & Expo Workshops, 2016

2013
Simultaneous Sensing Matrix and Sparsifying Dictionary Optimization for Block-sparse Compressive Sensing.
Proceedings of the IEEE 10th International Conference on Mobile Ad-Hoc and Sensor Systems, 2013


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