keywords
- Machine Learning, Optimization, Data Science, Signal Processing, Computational Imaging
- Contact Info
Tang, Gongguo Associate Professor
Positions
- Associate Professor, Electrical, Computer and Energy Engineering (ECEE)
Research Areas
Research
Publications
selected publications
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chapter
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conference proceeding
- Data-driven parameter estimation of contaminated damped exponentials 2021
- Contaminated multiband signal identification via deep learning. 76-80. 2021
- Learning To Find Good Correspondences Of Multiple Objects. 2779-2786. 2021
- A super-resolution algorithm for extended target localization. 386-390. 2019
- Alternating minimizations converge to second-order optimal solutions. 3935-3943. 2019
- Cubic regularization for differentiable games 2019
- Fast Approximation of Non-Negative Sparse Recovery via Deep Learning. 2921-2925. 2019
- Geometry correspondence between empirical and population games 2019
- Simultaneous blind deconvolution and phase retrieval with tensor iterative hard thresholding. 2977-2981. 2019
- Sparse recovery and non-stationary blind demodulation. 5566-5570. 2019
- Spherical principal component analysis. 387-395. 2019
- Support recovery for sparse recovery and non-stationary blind demodulation. 235-239. 2019
- The Local Geometry of Orthogonal Dictionary Learning using L1 Minimization. 1217-1221. 2019
- The geometric effects of distributing constrained nonconvex optimization problems. 16-20. 2019
- The geometry of equality-constrained global consensus problems. 7928-7932. 2019
- Chess piece recognition using oriented chamfer matching with a comparison to cnn. 2001-2009. 2018
- Geometry-based populated chessboard recognition. 1069603-1069603. 2018
- Spammer detection via combined neural network. 350-364. 2018
- A super-resolution algorithm for multiband signal identification. 323-327. 2017
- Convex and nonconvex geometries of symmetric tensor factorization. 305-309. 2017
- Radar signal demixing via convex optimization. 1-5. 2017
- The nonconvex geometry of low-rank matrix optimizations with general objective functions. 1235-1239. 2017
- The nonconvex geometry of low-rank matrix optimizations with general objective functions. 1235-1239. 2017
- NON-STATIONARY BLIND SUPER-RESOLUTION. Proceedings of the ... IEEE International Conference on Acoustics, Speech, and Signal Processing / sponsored by the Institute of Electrical and Electronics Engineers Signal Processing Society. ICASSP (Conference). 4727-4731. 2016
- Super-resolution in SAR imaging: Analysis with the atomic norm. 1-5. 2016
- Overcomplete Tensor Decomposition via Convex Optimization. 53-56. 2015
- Resolution Limits for Atomic Decompositions via Markov-Bernstein type Inequalities. 548-552. 2015
- Guaranteed tensor decomposition: A moment approach. 1491-1500. 2015
- Robust Line Spectral Estimation. Conference record / Asilomar Conference on Signals, Systems & Computers. Asilomar Conference on Signals, Systems & Computers. 301-305. 2014
- Convex blind deconvolution with random masks. CW4C-1. 2014
- Gridless compressive-sensing methods for frequency estimation: Points of tangency and links to basics. 1831-1835. 2014
- Sparse Recovery Over Continuous Dictionaries -Just Discretize. Conference record / Asilomar Conference on Signals, Systems & Computers. Asilomar Conference on Signals, Systems & Computers. 1043-1047. 2013
- Adaptive sensing with structured sparsity 2013
- Compressive sensing off the grid. 778-785. 2012
- OPTIMAL TIME-OF-USE ELECTRICITY PRICING USING GAME THEORY. Proceedings of the ... IEEE International Conference on Acoustics, Speech, and Signal Processing / sponsored by the Institute of Electrical and Electronics Engineers Signal Processing Society. ICASSP (Conference). 3081-3084. 2012
- Linear system identification via atomic norm regularization. 6265-6270. 2012
- Quickest search for a rare distribution. 1-6. 2012
- Sparsity-Based Estimation for Target Detection in Multipath Scenarios. 303-308. 2011
- Computable performance analysis of block-sparsity recovery. 265-268. 2011
- Robust principal component analysis based on low-rank and block-sparse matrix decomposition. 1-5. 2011
- Sparsity-enforced regression based on over-complete dictionary. 261-264. 2011
- Verifiable and computable ℓ∞ performance evaluation of ℓ 1 sparse signal recovery. 1-6. 2011
- Computable Quantification of the Stability of Sparse Signal Reconstruction. Conference record / Asilomar Conference on Signals, Systems & Computers. Asilomar Conference on Signals, Systems & Computers. 248-252. 2010
- Multi-Objective Optimized OFDM Radar Waveform for Target Detection in Multipath Scenarios. Conference record / Asilomar Conference on Signals, Systems & Computers. Asilomar Conference on Signals, Systems & Computers. 618-622. 2010
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SUPPORT RECOVERY FOR SOURCE LOCALIZATION BASED ON OVERCOMPLETE SIGNAL REPRESENTATION.
Proceedings of the ... IEEE International Conference on Acoustics, Speech, and Signal Processing / sponsored by the Institute of Electrical and Electronics Engineers Signal Processing Society. ICASSP (Conference).
2730-2733.
2010
- 3d electromagnetic imaging using compressive sensing. 37-40. 2010
- Electromagnetic imaging using compressive sensing. 1737-1741. 2010
- The stability of low-rank matrix reconstruction: a constrained singular value perspective. 1745-1751. 2010
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Performance Analysis of Support Recovery with Joint Sparsity Constraints.
258-264.
2009
- Convergence of a class of multi-agent systems in probabilistic framework. Proceedings of the ... IEEE Conference on Decision & Control / IEEE Control Systems Society. IEEE Conference on Decision & Control. 1634-1639. 2007
- Convergence analysis of linearized Vicsek's Model. 1572-+. 2006
- Convergence analysis of linearized Vicsek’s model. 379-382. 2006
- Adaptive stabilization of unknown linear systems under communication constraints 2005
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journal article
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A super-resolution framework for tensor decomposition.
Information and Inference.
2022
- Landscape Correspondence of Empirical and Population Risks in the Eigendecomposition Problem 2021
- Stable super-resolution of images: theoretical study. 161-193. 2021
- The global optimization geometry of low-rank matrix optimization. IEEE Transactions on Information Theory. 1308-1331. 2021
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Atomic Norm Denoising for Complex Exponentials With Unknown Waveform Modulations.
IEEE Transactions on Information Theory.
3893-3913.
2020
- Approximate support recovery of atomic line spectral estimation: A tale of resolution and precision. Applied and Computational Harmonic Analysis. 891-948. 2020
- Support Recovery for Sparse Signals with Unknown Non-Stationary Modulation. IEEE Transactions on Signal Processing. 1884-1896. 2020
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The Global Geometry of Centralized and Distributed Low-rank Matrix Recovery Without Regularization.
IEEE Signal Processing Letters.
1400-1404.
2020
- A convex relaxation for model predictive control of a class of Hammerstein systems. IEEE Control Systems Letters. 942-947. 2019
- Distributed low-rank matrix factorization with exact consensus. Advances in neural information processing systems. 2019
- Provable bregman-divergence based methods for nonconvex and non-lipschitz problems 2019
- Simultaneous sparse recovery and blind demodulation. IEEE Transactions on Signal Processing. 5184-5199. 2019
- Support recovery for sparse signals with non-stationary modulation 2019
- The landscape of non-convex empirical risk with degenerate population risk. 3507-3517. 2019
- Atomic norm minimization for modal analysis from random and compressed samples. IEEE Transactions on Signal Processing. 1817-1831. 2018
- Demixing sines and spikes: Robust spectral super-resolution in the presence of outliers. 105-168. 2018
- Global optimality in distributed low-rank matrix factorization 2018
- Global optimality in low-rank matrix optimization. IEEE Transactions on Signal Processing. 3614-3628. 2018
- Stable super-resolution of images 2018
- The non-convex geometry of low-rank matrix optimization. 51-96. 2018
- Vandermonde factorization of Hankel matrix for complex exponential signal recovery—application in fast NMR spectroscopy. IEEE Transactions on Signal Processing. 5520-5533. 2018
- Geometry of factored nuclear norm regularization 2017
- System theoretic analysis of battery charging optimization. Journal of Energy Storage. 168-178. 2017
- The global optimization geometry of low-rank matrix optimization 2017
- The global optimization geometry of low-rank matrix optimization 2017
- The global optimization geometry of nonsymmetric matrix factorization and sensing 2017
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Super-Resolution of Complex Exponentials From Modulations With Unknown Waveforms.
IEEE Transactions on Information Theory.
5809-5830.
2016
- Robust principal component analysis based on low-rank and block-sparse matrix decomposition 2016
- Semidefinite programming for computable performance bounds on block-sparsity recovery. IEEE Transactions on Signal Processing. 4455-4468. 2016
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Experimental robustness of Fourier ptychography phase retrieval algorithms.
Optics Express.
33214-33240.
2015
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Computable Performance Bounds on Sparse Recovery.
IEEE Transactions on Signal Processing.
132-141.
2015
- Optimal low-rank tensor recovery from separable measurements: Four contractions suffice 2015
- Sparse and low-rank tensor decomposition. Advances in neural information processing systems. 2548-2556. 2015
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Atomic Norm Denoising With Applications to Line Spectral Estimation.
IEEE Transactions on Signal Processing.
5987-5999.
2013
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Compressed Sensing Off the Grid.
IEEE Transactions on Information Theory.
7465-7490.
2013
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The Sample Complexity of Search Over Multiple Populations.
IEEE Transactions on Information Theory.
5039-5050.
2013
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A Game-Theoretic Approach for Optimal Time-of-Use Electricity Pricing.
IEEE Transactions on Power Systems.
884-892.
2013
- Atomic decomposition of mixtures of translation-invariant signals 2013
- Near Minimax Line Spectral Estimation. IEEE Transactions on Information Theory. 2013
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The Stability of Low-Rank Matrix Reconstruction: A Constrained Singular Value View.
IEEE Transactions on Information Theory.
6079-6092.
2012
- Atomic norm denoising with applications to line spectral estimation. arXiv-1204. 2012
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Performance Analysis of Sparse Recovery Based on Constrained Minimal Singular Values.
IEEE Transactions on Signal Processing.
5734-5745.
2011
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Constrained Cramer-Rao Bound on Robust Principal Component Analysis.
IEEE Transactions on Signal Processing.
5070-5076.
2011
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Lower Bounds on the Mean-Squared Error of Low-Rank Matrix Reconstruction.
IEEE Transactions on Signal Processing.
4559-4571.
2011
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Multiobjective Optimization of OFDM Radar Waveform for Target Detection.
IEEE Transactions on Signal Processing.
639-652.
2011
- Estimation of reflectance from camera responses by the regularized local linear model. 3933-3935. 2011
- Performance analysis of sparse recovery based on constrained minimal singular values. IEEE Transactions on Signal Processing. 5734-5745. 2011
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Performance Analysis for Sparse Support Recovery.
IEEE Transactions on Information Theory.
1383-1399.
2010
- The $ell_1$-Constrained Minimal Singular Value: Sparse Signal Reconstruction 2010
- The l1-Constrained Minimal Singular Value: Sparse Signal Reconstruction 2010
- Convergence of a class of multi-agent systems in probabilistic framework. Journal of Systems Science and Complexity. 173-197. 2007
- Study on the correlation between adolescents’ emotional and behavioral problems and life events. 204-207. 2006
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A super-resolution framework for tensor decomposition.
Information and Inference.
2022
Background
education and training
- Ph.D., Washington University 2011
- M.S., Chinese Academy of Sciences (China) 2006
- B.S., Shandong Univ (China) 2003