Convergence of a Class of Multi-Agent Systems In Probabilistic Framework. - Gongguo Tang; Lei Guo 001 (J. Syst. Sci. Complex., 2007)

Performance analysis of support recovery with joint sparsity constraints. - Gongguo Tang; Arye Nehorai (Allerton, 2009)

Electromagnetic imaging using compressive sensing. - Marija M. Nikolic; Gongguo Tang; Antonije R. Djordjevic; Arye Nehorai (Allerton, 2010)

The stability of low-rank matrix reconstruction: A constrained singular value perspective. - Gongguo Tang; Arye Nehorai (Allerton, 2010)

Support recovery for source localization based on overcomplete signal representation. - Gongguo Tang; Arye Nehorai (ICASSP, 2010)

The ℓ1-Constrained Minimal Singular Value: a Computable Quantification of the Stability of Sparse Signal Reconstruction - Gongguo Tang; Arye Nehorai (CoRR, 2010)

Performance analysis for sparse support recovery. - Gongguo Tang; Arye Nehorai (IEEE Trans. Inf. Theory, 2010)

Computable performance analysis of block-sparsity recovery. - Gongguo Tang; Arye Nehorai (CAMSAP, 2011)

Sparsity-enforced regression based on over-complete dictionary. - Peng Yang 006; Gongguo Tang; Arye Nehorai (CAMSAP, 2011)

Verifiable and computable ℓ∞ performance evaluation of ℓ1 sparse signal recovery. - Gongguo Tang; Arye Nehorai (CISS, 2011)

Robust principal component analysis based on low-rank and block-sparse matrix decomposition. - Gongguo Tang; Arye Nehorai (CISS, 2011)

Verifiable and Computable linfinitfy Performance Evaluation of l1 Sparse Signal Recovery - Gongguo Tang; Arye Nehorai (CoRR, 2011)

Fixed point theory and semidefinite programming for computable performance analysis of block-sparsity recovery - Gongguo Tang; Arye Nehorai (CoRR, 2011)

Multiobjective Optimization of OFDM Radar Waveform for Target Detection. - Satyabrata Sen; Gongguo Tang; Arye Nehorai (IEEE Trans. Signal Process., 2011)

Lower Bounds on the Mean-Squared Error of Low-Rank Matrix Reconstruction. - Gongguo Tang; Arye Nehorai (IEEE Trans. Signal Process., 2011)

Constrained Cramér-Rao Bound on Robust Principal Component Analysis. - Gongguo Tang; Arye Nehorai (IEEE Trans. Signal Process., 2011)

Performance Analysis of Sparse Recovery Based on Constrained Minimal Singular Values. - Gongguo Tang; Arye Nehorai (IEEE Trans. Signal Process., 2011)

Compressive sensing off the grid. - Gongguo Tang; Badri Narayan Bhaskar; Parikshit Shah; Benjamin Recht (Allerton Conference, 2012)

Linear system identification via atomic norm regularization. - Parikshit Shah; Badri Narayan Bhaskar; Gongguo Tang; Benjamin Recht (CDC, 2012)

Quickest search for a rare distribution. - Matthew Malloy; Gongguo Tang; Robert D. Nowak (CISS, 2012)

Optimal time-of-use electricity pricing using game theory. - Peng Yang 006; Gongguo Tang; Arye Nehorai (ICASSP, 2012)

The Stability of Low-Rank Matrix Reconstruction: A Constrained Singular Value View. - Gongguo Tang; Arye Nehorai (IEEE Trans. Inf. Theory, 2012)

Designing OFDM Radar Waveform for Target Detection Using Multi-objective Optimization. - Satyabrata Sen; Gongguo Tang; Arye Nehorai (Advances in Heuristic Signal Processing and Applications, 2013)

Sparse recovery over continuous dictionaries-just discretize. - Gongguo Tang; Badri Narayan Bhaskar; Benjamin Recht (ACSSC, 2013)

The Sample Complexity of Search Over Multiple Populations. - Matthew Malloy; Gongguo Tang; Robert D. Nowak (IEEE Trans. Inf. Theory, 2013)

Compressed Sensing Off the Grid. - Gongguo Tang; Badri Narayan Bhaskar; Parikshit Shah; Benjamin Recht (IEEE Trans. Inf. Theory, 2013)

Atomic Norm Denoising With Applications to Line Spectral Estimation. - Badri Narayan Bhaskar; Gongguo Tang; Benjamin Recht (IEEE Trans. Signal Process., 2013)

Robust line spectral estimation. - Gongguo Tang; Parikshit Shah; Badri Narayan Bhaskar; Benjamin Recht (ACSSC, 2014)

Gridless compressive-sensing methods for frequency estimation: Points of tangency and links to basics. - Petre Stoica; Gongguo Tang; Zai Yang; Dave Zachariah (EUSIPCO, 2014)

Overcomplete tensor decomposition via convex optimization. - Qiuwei Li; Ashley Prater; Lixin Shen; Gongguo Tang (CAMSAP, 2015)

Guaranteed Tensor Decomposition: A Moment Approach. - Gongguo Tang; Parikshit Shah (ICML, 2015)

Sparse and Low-Rank Tensor Decomposition. - Parikshit Shah; Nikhil Rao 001; Gongguo Tang (NIPS, 2015)

Optimal Low-Rank Tensor Recovery from Separable Measurements: Four Contractions Suffice. - Parikshit Shah; Nikhil Rao 001; Gongguo Tang (CoRR, 2015)

Experimental robustness of Fourier Ptychography phase retrieval algorithms. - Li-Hao Yeh; Jonathan Dong; Jingshan Zhong; Lei Tian 005; Michael Chen; Gongguo Tang; Mahdi Soltanolkotabi; Laura Waller (CoRR, 2015)

Near Minimax Line Spectral Estimation. - Gongguo Tang; Badri Narayan Bhaskar; Benjamin Recht (IEEE Trans. Inf. Theory, 2015)

Computable Performance Bounds on Sparse Recovery. - Gongguo Tang; Arye Nehorai (IEEE Trans. Signal Process., 2015)

Bounds on Estimation. - Arye Nehorai; Gongguo Tang (Encyclopedia of Systems and Control, 2015)

Approximate support recovery of atomic line spectral estimation: A tale of resolution and precision. - Qiuwei Li; Gongguo Tang (GlobalSIP, 2016)

Non-stationary blind super-resolution. - Dehui Yang; Gongguo Tang; Michael B. Wakin (ICASSP, 2016)

Super-resolution in SAR imaging: Analysis with the atomic norm. - Zhihui Zhu; Gongguo Tang; Pawan Setlur; Sandeep Gogineni; Michael B. Wakin; Muralidhar Rangaswamy (SAM, 2016)

Demixing Sines and Spikes: Robust Spectral Super-resolution in the Presence of Outliers. - Carlos Fernandez-Granda; Gongguo Tang; Xiaodong Wang 001; Le Zheng (CoRR, 2016)

Super-Resolution of Complex Exponentials From Modulations With Unknown Waveforms. - Dehui Yang; Gongguo Tang; Michael B. Wakin (IEEE Trans. Inf. Theory, 2016)

Semidefinite Programming for Computable Performance Bounds on Block-Sparsity Recovery. - Gongguo Tang; Arye Nehorai (IEEE Trans. Signal Process., 2016)

Convex and nonconvex geometries of symmetric tensor factorization. - Qiuwei Li; Gongguo Tang (ACSSC, 2017)

A super-resolution algorithm for multiband signal identification. - Zhihui Zhu; Dehui Yang; Michael B. Wakin; Gongguo Tang (ACSSC, 2017)

The nonconvex geometry of low-rank matrix optimizations with general objective functions. - Qiuwei Li; Gongguo Tang (GlobalSIP, 2017)

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

Geometry-based populated chessboard recognition. - Youye Xie; Gongguo Tang; William A. Hoff (ICMV, 2017)

Geometry of Factored Nuclear Norm Regularization. - Qiuwei Li; Zhihui Zhu; Gongguo Tang (CoRR, 2017)

The Global Optimization Geometry of Nonsymmetric Matrix Factorization and Sensing. - Zhihui Zhu; Qiuwei Li; Gongguo Tang; Michael B. Wakin (CoRR, 2017)

Spammer Detection via Combined Neural Network. - Weiping Pei; Youye Xie; Gongguo Tang (MLDM (1), 2018)

Chess Piece Recognition Using Oriented Chamfer Matching with a Comparison to CNN. - Youye Xie; Gongguo Tang; William A. Hoff (WACV, 2018)

Stable Super-Resolution of Images. - Armin Eftekhari; Tamir Bendory; Gongguo Tang (CoRR, 2018)

Global Optimality in Distributed Low-rank Matrix Factorization. - Zhihui Zhu; Qiuwei Li; Gongguo Tang; 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)

Vandermonde Factorization of Hankel Matrix for Complex Exponential Signal Recovery - Application in Fast NMR Spectroscopy. - Jiaxi Ying; Jian-Feng Cai 001; Di Guo; Gongguo Tang; Zhong Chen 005; Xiaobo Qu 001 (IEEE Trans. Signal Process., 2018)

Global Optimality in Low-Rank Matrix Optimization. - Zhihui Zhu; Qiuwei Li; Gongguo Tang; Michael B. Wakin (IEEE Trans. Signal Process., 2018)

The Local Geometry of Orthogonal Dictionary Learning using L1 Minimization. - Qiuwei Li; Zhihui Zhu; Michael B. Wakin; Gongguo Tang (ACSSC, 2019)

Support Recovery for Sparse Recovery and Non-stationary Blind Demodulation. - Youye Xie; Michael B. Wakin; Gongguo Tang (ACSSC, 2019)

A Super-Resolution Algorithm for Extended Target Localization. - Jonathan Helland; Michael B. Wakin; Gongguo Tang (CAMSAP, 2019)

The Geometric Effects of Distributing Constrained Nonconvex Optimization Problems. - Qiuwei Li; Xinshuo Yang; Zhihui Zhu; Gongguo Tang; Michael B. Wakin (CAMSAP, 2019)

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

The Geometry of Equality-constrained Global Consensus Problems. - Qiuwei Li; Zhihui Zhu; Gongguo Tang; Michael B. Wakin (ICASSP, 2019)

Sparse Recovery and Non-stationary Blind Demodulation. - Youye Xie; Michael B. Wakin; Gongguo Tang (ICASSP, 2019)

Fast Approximation of Non-Negative Sparse Recovery via Deep Learning. - Youye Xie; Zifan Wang; Weiping Pei; Gongguo Tang (ICIP, 2019)

Alternating Minimizations Converge to Second-Order Optimal Solutions. - Qiuwei Li; Zhihui Zhu; Gongguo Tang (ICML, 2019)

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

Distributed Low-rank Matrix Factorization With Exact Consensus. - Zhihui Zhu; Qiuwei Li; Xinshuo Yang; Gongguo Tang; Michael B. Wakin (NeurIPS, 2019)

Spherical Principal Component Analysis. - Kai Liu 018; Qiuwei Li; Hua Wang 007; Gongguo Tang (SDM, 2019)

Provable Bregman-divergence based Methods for Nonconvex and Non-Lipschitz Problems. - Qiuwei Li; Zhihui Zhu; Gongguo Tang; Michael B. Wakin (CoRR, 2019)

Support Recovery for Sparse Signals with Non-stationary Modulation. - Youye Xie; Michael B. Wakin; Gongguo Tang (CoRR, 2019)

A Convex Relaxation for Model Predictive Control of a Class of Hammerstein Systems. - Tyrone L. Vincent; Gongguo Tang; Peter Weddle (IEEE Control. Syst. Lett., 2019)

Simultaneous Sparse Recovery and Blind Demodulation. - Youye Xie; Michael B. Wakin; Gongguo Tang (IEEE Trans. Signal Process., 2019)

Learning To Find Good Correspondences Of Multiple Objects. - Youye Xie; Yingheng Tang; Gongguo Tang; William A. Hoff (ICPR, 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)

Support Recovery for Sparse Signals With Unknown Non-Stationary Modulation. - Youye Xie; Michael B. Wakin; Gongguo Tang (IEEE Trans. Signal Process., 2020)

Data-driven Parameter Estimation Of Contaminated Damped Exponentials. - Youye Xie; Michael B. Wakin; Gongguo Tang (ACSCC, 2021)

Data-driven Support Recovery for Sparse Signals with Non-stationary Modulation. - Youye Xie; Michael B. Wakin; Gongguo Tang (ICMLA, 2021)

Contaminated Multiband Signal Identification Via Deep Learning. - Youye Xie; Michael B. Wakin; Gongguo Tang (SSP, 2021)

The Global Optimization Geometry of Low-Rank Matrix Optimization. - Zhihui Zhu; Qiuwei Li; Gongguo Tang; Michael B. Wakin (IEEE Trans. Inf. Theory, 2021)

Spectral Super-Resolution for Hyperspectral Image Reconstruction Using Dictionary and Machine Learning. - Swastik Bhattacharya; Kedar Remane; Bruce C. Kindel; Gongguo Tang (IGARSS, 2022)

Error Analysis of Tensor-Train Cross Approximation. - Zhen Qin; Alexander Lidiak; Zhexuan Gong; Gongguo Tang; Michael B. Wakin; Zhihui Zhu (NeurIPS, 2022)

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