Gongguo Tang

According to our database1, Gongguo Tang authored at least 74 papers between 2007 and 2021.

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Bibliography

2021
The Global Optimization Geometry of Low-Rank Matrix Optimization.
IEEE Trans. Inf. Theory, 2021

2020
Support Recovery for Sparse Signals With Unknown Non-Stationary Modulation.
IEEE Trans. Signal Process., 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

2019
Simultaneous Sparse Recovery and Blind Demodulation.
IEEE Trans. Signal Process., 2019

A Convex Relaxation for Model Predictive Control of a Class of Hammerstein Systems.
IEEE Control. Syst. Lett., 2019

Support Recovery for Sparse Signals with Non-stationary Modulation.
CoRR, 2019

Provable Bregman-divergence based Methods for Nonconvex and Non-Lipschitz Problems.
CoRR, 2019

Spherical Principal Component Analysis.
Proceedings of the 2019 SIAM International Conference on Data Mining, 2019

Distributed Low-rank Matrix Factorization With Exact Consensus.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 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

Alternating Minimizations Converge to Second-Order Optimal Solutions.
Proceedings of the 36th International Conference on Machine Learning, 2019

Fast Approximation of Non-Negative Sparse Recovery via Deep Learning.
Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

Sparse Recovery and Non-stationary Blind Demodulation.
Proceedings of the IEEE International Conference on Acoustics, 2019

The Geometry of Equality-constrained Global Consensus Problems.
Proceedings of the IEEE International Conference on Acoustics, 2019

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

The Geometric Effects of Distributing Constrained Nonconvex Optimization Problems.
Proceedings of the 8th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2019

A Super-Resolution Algorithm for Extended Target Localization.
Proceedings of the 8th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2019

Support Recovery for Sparse Recovery and Non-stationary Blind Demodulation.
Proceedings of the 53rd Asilomar Conference on Signals, Systems, and Computers, 2019

The Local Geometry of Orthogonal Dictionary Learning using L1 Minimization.
Proceedings of the 53rd Asilomar Conference on Signals, Systems, and Computers, 2019

2018
Global Optimality in Low-Rank Matrix Optimization.
IEEE Trans. Signal Process., 2018

Vandermonde Factorization of Hankel Matrix for Complex Exponential Signal Recovery - Application in Fast NMR Spectroscopy.
IEEE Trans. Signal Process., 2018

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

Global Optimality in Distributed Low-rank Matrix Factorization.
CoRR, 2018

Stable Super-Resolution of Images.
CoRR, 2018

Chess Piece Recognition Using Oriented Chamfer Matching with a Comparison to CNN.
Proceedings of the 2018 IEEE Winter Conference on Applications of Computer Vision, 2018

Spammer Detection via Combined Neural Network.
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2018

2017
The Global Optimization Geometry of Nonsymmetric Matrix Factorization and Sensing.
CoRR, 2017

Geometry of Factored Nuclear Norm Regularization.
CoRR, 2017

Geometry-based populated chessboard recognition.
Proceedings of the Tenth International Conference on Machine Vision, 2017

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

The nonconvex geometry of low-rank matrix optimizations with general objective functions.
Proceedings of the 2017 IEEE Global Conference on Signal and Information Processing, 2017

A super-resolution algorithm for multiband signal identification.
Proceedings of the 51st Asilomar Conference on Signals, Systems, and Computers, 2017

Convex and nonconvex geometries of symmetric tensor factorization.
Proceedings of the 51st Asilomar Conference on Signals, Systems, and Computers, 2017

2016
Semidefinite Programming for Computable Performance Bounds on Block-Sparsity Recovery.
IEEE Trans. Signal Process., 2016

Super-Resolution of Complex Exponentials From Modulations With Unknown Waveforms.
IEEE Trans. Inf. Theory, 2016

Demixing Sines and Spikes: Robust Spectral Super-resolution in the Presence of Outliers.
CoRR, 2016

Super-resolution in SAR imaging: Analysis with the atomic norm.
Proceedings of the 2016 IEEE Sensor Array and Multichannel Signal Processing Workshop (SAM), 2016

Non-stationary blind super-resolution.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Approximate support recovery of atomic line spectral estimation: A tale of resolution and precision.
Proceedings of the 2016 IEEE Global Conference on Signal and Information Processing, 2016

2015
Bounds on Estimation.
Proceedings of the Encyclopedia of Systems and Control, 2015

Computable Performance Bounds on Sparse Recovery.
IEEE Trans. Signal Process., 2015

Near Minimax Line Spectral Estimation.
IEEE Trans. Inf. Theory, 2015

Experimental robustness of Fourier Ptychography phase retrieval algorithms.
CoRR, 2015

Optimal Low-Rank Tensor Recovery from Separable Measurements: Four Contractions Suffice.
CoRR, 2015

Sparse and Low-Rank Tensor Decomposition.
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Guaranteed Tensor Decomposition: A Moment Approach.
Proceedings of the 32nd International Conference on Machine Learning, 2015

Overcomplete tensor decomposition via convex optimization.
Proceedings of the 6th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2015

2014
Gridless compressive-sensing methods for frequency estimation: Points of tangency and links to basics.
Proceedings of the 22nd European Signal Processing Conference, 2014

Robust line spectral estimation.
Proceedings of the 48th Asilomar Conference on Signals, Systems and Computers, 2014

2013
Atomic Norm Denoising With Applications to Line Spectral Estimation.
IEEE Trans. Signal Process., 2013

Compressed Sensing Off the Grid.
IEEE Trans. Inf. Theory, 2013

The Sample Complexity of Search Over Multiple Populations.
IEEE Trans. Inf. Theory, 2013

Sparse recovery over continuous dictionaries-just discretize.
Proceedings of the 2013 Asilomar Conference on Signals, 2013

Designing OFDM Radar Waveform for Target Detection Using Multi-objective Optimization.
Proceedings of the Advances in Heuristic Signal Processing and Applications, 2013

2012
The Stability of Low-Rank Matrix Reconstruction: A Constrained Singular Value View.
IEEE Trans. Inf. Theory, 2012

Optimal time-of-use electricity pricing using game theory.
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

Quickest search for a rare distribution.
Proceedings of the 46th Annual Conference on Information Sciences and Systems, 2012

Linear system identification via atomic norm regularization.
Proceedings of the 51th IEEE Conference on Decision and Control, 2012

Compressive sensing off the grid.
Proceedings of the 50th Annual Allerton Conference on Communication, 2012

2011
Performance Analysis of Sparse Recovery Based on Constrained Minimal Singular Values.
IEEE Trans. Signal Process., 2011

Constrained Cramér-Rao Bound on Robust Principal Component Analysis.
IEEE Trans. Signal Process., 2011

Lower Bounds on the Mean-Squared Error of Low-Rank Matrix Reconstruction.
IEEE Trans. Signal Process., 2011

Multiobjective Optimization of OFDM Radar Waveform for Target Detection.
IEEE Trans. Signal Process., 2011

Fixed point theory and semidefinite programming for computable performance analysis of block-sparsity recovery
CoRR, 2011

Verifiable and Computable l<sub>infinitfy</sub> Performance Evaluation of l<sub>1</sub> Sparse Signal Recovery
CoRR, 2011

Robust principal component analysis based on low-rank and block-sparse matrix decomposition.
Proceedings of the 45st Annual Conference on Information Sciences and Systems, 2011

Verifiable and computable ℓ∞ performance evaluation of ℓ1 sparse signal recovery.
Proceedings of the 45st Annual Conference on Information Sciences and Systems, 2011

Sparsity-enforced regression based on over-complete dictionary.
Proceedings of the 4th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2011

Computable performance analysis of block-sparsity recovery.
Proceedings of the 4th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2011

2010
Performance analysis for sparse support recovery.
IEEE Trans. Inf. Theory, 2010

The ℓ<sub>1</sub>-Constrained Minimal Singular Value: a Computable Quantification of the Stability of Sparse Signal Reconstruction
CoRR, 2010

Support recovery for source localization based on overcomplete signal representation.
Proceedings of the IEEE International Conference on Acoustics, 2010

2007
Convergence of a Class of Multi-Agent Systems In Probabilistic Framework.
J. Syst. Sci. Complex., 2007


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