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2020 – today
- 2022
[j24]Shuang Li
, Gongguo Tang, Michael B. Wakin:
Landscape Correspondence of Empirical and Population Risks in the Eigendecomposition Problem. IEEE Trans. Signal Process. 70: 2985-2999 (2022)- [c49]Swastik Bhattacharya, Kedar Remane, Bruce C. Kindel, Gongguo Tang:
Spectral Super-Resolution for Hyperspectral Image Reconstruction Using Dictionary and Machine Learning. IGARSS 2022: 1764-1767 - [c48]Zhen Qin, Alexander Lidiak, Zhexuan Gong, Gongguo Tang, Michael B. Wakin, Zhihui Zhu:
Error Analysis of Tensor-Train Cross Approximation. NeurIPS 2022 - [i31]Zhen Qin, Alexander Lidiak, Zhexuan Gong, Gongguo Tang, Michael B. Wakin, Zhihui Zhu:
Error Analysis of Tensor-Train Cross Approximation. CoRR abs/2207.04327 (2022) - 2021
- [j23]Zhihui Zhu, Qiuwei Li, Gongguo Tang, Michael B. Wakin:
The Global Optimization Geometry of Low-Rank Matrix Optimization. IEEE Trans. Inf. Theory 67(2): 1308-1331 (2021) - [c47]Youye Xie, Michael B. Wakin, Gongguo Tang:
Data-driven Parameter Estimation Of Contaminated Damped Exponentials. ACSCC 2021: 800-804 - [c46]Youye Xie, Michael B. Wakin, Gongguo Tang:
Data-driven Support Recovery for Sparse Signals with Non-stationary Modulation. ICMLA 2021: 1641-1646 - [c45]Youye Xie, Michael B. Wakin, Gongguo Tang:
Contaminated Multiband Signal Identification Via Deep Learning. SSP 2021: 76-80 - [i30]Shuang Li, Gongguo Tang, Michael B. Wakin:
Landscape Correspondence of Empirical and Population Risks in the Eigendecomposition Problem. CoRR abs/2106.06574 (2021) - 2020
- [j22]Shuang Li, Qiuwei Li, Zhihui Zhu, Gongguo Tang, Michael B. Wakin:
The Global Geometry of Centralized and Distributed Low-rank Matrix Recovery Without Regularization. IEEE Signal Process. Lett. 27: 1400-1404 (2020) - [j21]Shuang Li, Michael B. Wakin, Gongguo Tang:
Atomic Norm Denoising for Complex Exponentials With Unknown Waveform Modulations. IEEE Trans. Inf. Theory 66(6): 3893-3913 (2020) - [j20]Youye Xie, Michael B. Wakin, Gongguo Tang:
Support Recovery for Sparse Signals With Unknown Non-Stationary Modulation. IEEE Trans. Signal Process. 68: 1884-1896 (2020) - [c44]Youye Xie, Yingheng Tang, Gongguo Tang, William A. Hoff:
Learning To Find Good Correspondences Of Multiple Objects. ICPR 2020: 2779-2786
2010 – 2019
- 2019
- [j19]Tyrone L. Vincent, Gongguo Tang, Peter Weddle:
A Convex Relaxation for Model Predictive Control of a Class of Hammerstein Systems. IEEE Control. Syst. Lett. 3(4): 942-947 (2019) - [j18]Youye Xie, Michael B. Wakin, Gongguo Tang:
Simultaneous Sparse Recovery and Blind Demodulation. IEEE Trans. Signal Process. 67(19): 5184-5199 (2019) - [c43]Youye Xie, Michael B. Wakin, Gongguo Tang:
Support Recovery for Sparse Recovery and Non-stationary Blind Demodulation. ACSSC 2019: 235-239 - [c42]Qiuwei Li, Zhihui Zhu, Michael B. Wakin, Gongguo Tang:
The Local Geometry of Orthogonal Dictionary Learning using L1 Minimization. ACSSC 2019: 1217-1221 - [c41]Qiuwei Li, Xinshuo Yang, Zhihui Zhu, Gongguo Tang, Michael B. Wakin:
The Geometric Effects of Distributing Constrained Nonconvex Optimization Problems. CAMSAP 2019: 16-20 - [c40]Jonathan Helland, Michael B. Wakin, Gongguo Tang:
A Super-Resolution Algorithm for Extended Target Localization. CAMSAP 2019: 386-390 - [c39]Shuang Li, Gongguo Tang, Michael B. Wakin:
Simultaneous Blind Deconvolution and Phase Retrieval with Tensor Iterative Hard Thresholding. ICASSP 2019: 2977-2981 - [c38]Youye Xie, Michael B. Wakin, Gongguo Tang:
Sparse Recovery and Non-stationary Blind Demodulation. ICASSP 2019: 5566-5570 - [c37]Qiuwei Li, Zhihui Zhu, Gongguo Tang, Michael B. Wakin:
The Geometry of Equality-constrained Global Consensus Problems. ICASSP 2019: 7928-7932 - [c36]Youye Xie, Zifan Wang, Weiping Pei, Gongguo Tang:
Fast Approximation of Non-Negative Sparse Recovery via Deep Learning. ICIP 2019: 2921-2925 - [c35]Qiuwei Li, Zhihui Zhu, Gongguo Tang:
Alternating Minimizations Converge to Second-Order Optimal Solutions. ICML 2019: 3935-3943 - [c34]Shuang Li, Gongguo Tang, Michael B. Wakin:
The Landscape of Non-convex Empirical Risk with Degenerate Population Risk. NeurIPS 2019: 3502-3512 - [c33]Zhihui Zhu, Qiuwei Li, Xinshuo Yang, Gongguo Tang, Michael B. Wakin:
Distributed Low-rank Matrix Factorization With Exact Consensus. NeurIPS 2019: 8420-8430 - [c32]Kai Liu, Qiuwei Li, Hua Wang, Gongguo Tang:
Spherical Principal Component Analysis. SDM 2019: 387-395 - [i29]Youye Xie, Michael B. Wakin, Gongguo Tang:
Simultaneous Sparse Recovery and Blind Demodulation. CoRR abs/1902.05023 (2019) - [i28]Shuang Li, Michael B. Wakin, Gongguo Tang:
Atomic Norm Denoising for Complex Exponentials with Unknown Waveform Modulations. CoRR abs/1902.05238 (2019) - [i27]Kai Liu, Qiuwei Li, Hua Wang, Gongguo Tang:
Spherical Principal Component Analysis. CoRR abs/1903.06877 (2019) - [i26]Qiuwei Li, Zhihui Zhu, Gongguo Tang, Michael B. Wakin:
Provable Bregman-divergence based Methods for Nonconvex and Non-Lipschitz Problems. CoRR abs/1904.09712 (2019) - [i25]Shuang Li, Gongguo Tang, Michael B. Wakin:
The Landscape of Non-convex Empirical Risk with Degenerate Population Risk. CoRR abs/1907.05520 (2019) - [i24]Youye Xie, Michael B. Wakin, Gongguo Tang:
Support Recovery for Sparse Signals with Non-stationary Modulation. CoRR abs/1910.13104 (2019) - 2018
- [j17]Shuang Li, Dehui Yang, Gongguo Tang, Michael B. Wakin:
Atomic Norm Minimization for Modal Analysis From Random and Compressed Samples. IEEE Trans. Signal Process. 66(7): 1817-1831 (2018) - [j16]Zhihui Zhu, Qiuwei Li, Gongguo Tang, Michael B. Wakin:
Global Optimality in Low-Rank Matrix Optimization. IEEE Trans. Signal Process. 66(13): 3614-3628 (2018) - [j15]Jiaxi Ying, Jian-Feng Cai, Di Guo, Gongguo Tang, Zhong Chen, Xiaobo Qu:
Vandermonde Factorization of Hankel Matrix for Complex Exponential Signal Recovery - Application in Fast NMR Spectroscopy. IEEE Trans. Signal Process. 66(21): 5520-5533 (2018) - [c31]Weiping Pei, Youye Xie, Gongguo Tang:
Spammer Detection via Combined Neural Network. MLDM (1) 2018: 350-364 - [c30]Youye Xie, Gongguo Tang, William A. Hoff:
Chess Piece Recognition Using Oriented Chamfer Matching with a Comparison to CNN. WACV 2018: 2001-2009 - [i23]Armin Eftekhari, Tamir Bendory, Gongguo Tang:
Stable Super-Resolution of Images. CoRR abs/1805.09513 (2018) - [i22]Zhihui Zhu, Qiuwei Li, Gongguo Tang, Michael B. Wakin:
Global Optimality in Distributed Low-rank Matrix Factorization. CoRR abs/1811.03129 (2018) - 2017
- [c29]Qiuwei Li, Gongguo Tang:
Convex and nonconvex geometries of symmetric tensor factorization. ACSSC 2017: 305-309 - [c28]Zhihui Zhu, Dehui Yang, Michael B. Wakin, Gongguo Tang:
A super-resolution algorithm for multiband signal identification. ACSSC 2017: 323-327 - [c27]Qiuwei Li, Gongguo Tang:
The nonconvex geometry of low-rank matrix optimizations with general objective functions. GlobalSIP 2017: 1235-1239 - [c26]Zhihui Zhu, Qiuwei Li, Gongguo Tang, Michael B. Wakin:
Global optimality in low-rank matrix optimization. GlobalSIP 2017: 1275-1279 - [c25]Youye Xie, Shuang Li, Gongguo Tang, Michael B. Wakin:
Radar signal demixing via convex optimization. DSP 2017: 1-5 - [c24]Youye Xie, Gongguo Tang, William A. Hoff:
Geometry-based populated chessboard recognition. ICMV 2017: 1069603 - [i21]Zhihui Zhu, Qiuwei Li, Gongguo Tang, Michael B. Wakin:
Global Optimality in Low-rank Matrix Optimization. CoRR abs/1702.07945 (2017) - [i20]Shuang Li, Dehui Yang, Gongguo Tang, Michael B. Wakin:
Atomic Norm Minimization for Modal Analysis from Random and Compressed Samples. CoRR abs/1703.00938 (2017) - [i19]Zhihui Zhu, Qiuwei Li, Gongguo Tang, Michael B. Wakin:
The Global Optimization Geometry of Nonsymmetric Matrix Factorization and Sensing. CoRR abs/1703.01256 (2017) - [i18]Qiuwei Li, Zhihui Zhu, Gongguo Tang:
Geometry of Factored Nuclear Norm Regularization. CoRR abs/1704.01265 (2017) - 2016
- [j14]Dehui Yang, Gongguo Tang, Michael B. Wakin:
Super-Resolution of Complex Exponentials From Modulations With Unknown Waveforms. IEEE Trans. Inf. Theory 62(10): 5809-5830 (2016) - [j13]Gongguo Tang, Arye Nehorai:
Semidefinite Programming for Computable Performance Bounds on Block-Sparsity Recovery. IEEE Trans. Signal Process. 64(17): 4455-4468 (2016) - [c23]Qiuwei Li, Gongguo Tang:
Approximate support recovery of atomic line spectral estimation: A tale of resolution and precision. GlobalSIP 2016: 153-156 - [c22]Dehui Yang, Gongguo Tang, Michael B. Wakin:
Non-stationary blind super-resolution. ICASSP 2016: 4727-4731 - [c21]Zhihui Zhu, Gongguo Tang, Pawan Setlur, Sandeep Gogineni, Michael B. Wakin, Muralidhar Rangaswamy:
Super-resolution in SAR imaging: Analysis with the atomic norm. SAM 2016: 1-5 - [i17]Dehui Yang, Gongguo Tang, Michael B. Wakin:
Super-Resolution of Complex Exponentials from Modulations with Unknown Waveforms. CoRR abs/1601.03712 (2016) - [i16]Qiuwei Li, Ashley Prater, Lixin Shen, Gongguo Tang:
Overcomplete Tensor Decomposition via Convex Optimization. CoRR abs/1602.08614 (2016) - [i15]Carlos Fernandez-Granda, Gongguo Tang, Xiaodong Wang, Le Zheng:
Demixing Sines and Spikes: Robust Spectral Super-resolution in the Presence of Outliers. CoRR abs/1609.02247 (2016) - [i14]Qiuwei Li, Gongguo Tang:
The Nonconvex Geometry of Low-Rank Matrix Optimizations with General Objective Functions. CoRR abs/1611.03060 (2016) - [i13]Qiuwei Li, Gongguo Tang:
Approximate Support Recovery of Atomic Line Spectral Estimation: A Tale of Resolution and Precision. CoRR abs/1612.01459 (2016) - 2015
- [j12]Gongguo Tang, Badri Narayan Bhaskar, Benjamin Recht:
Near Minimax Line Spectral Estimation. IEEE Trans. Inf. Theory 61(1): 499-512 (2015) - [j11]Gongguo Tang, Arye Nehorai:
Computable Performance Bounds on Sparse Recovery. IEEE Trans. Signal Process. 63(1): 132-141 (2015) - [c20]Qiuwei Li, Ashley Prater, Lixin Shen, Gongguo Tang:
Overcomplete tensor decomposition via convex optimization. CAMSAP 2015: 53-56 - [c19]Gongguo Tang, Parikshit Shah:
Guaranteed Tensor Decomposition: A Moment Approach. ICML 2015: 1491-1500 - [c18]Parikshit Shah, Nikhil Rao, Gongguo Tang:
Sparse and Low-Rank Tensor Decomposition. NIPS 2015: 2548-2556 - [r1]Arye Nehorai, Gongguo Tang:
Bounds on Estimation. Encyclopedia of Systems and Control 2015 - [i12]Parikshit Shah, Nikhil Rao, Gongguo Tang:
Optimal Low-Rank Tensor Recovery from Separable Measurements: Four Contractions Suffice. CoRR abs/1505.04085 (2015) - [i11]Li-Hao Yeh, Jonathan Dong, Jingshan Zhong, Lei Tian, Michael Chen, Gongguo Tang, Mahdi Soltanolkotabi, Laura Waller:
Experimental robustness of Fourier Ptychography phase retrieval algorithms. CoRR abs/1511.02986 (2015) - 2014
- [c17]Gongguo Tang, Parikshit Shah, Badri Narayan Bhaskar, Benjamin Recht:
Robust line spectral estimation. ACSSC 2014: 301-305 - [c16]Petre Stoica, Gongguo Tang, Zai Yang, Dave Zachariah:
Gridless compressive-sensing methods for frequency estimation: Points of tangency and links to basics. EUSIPCO 2014: 1831-1835 - 2013
- [j10]Matthew Malloy, Gongguo Tang, Robert D. Nowak:
The Sample Complexity of Search Over Multiple Populations. IEEE Trans. Inf. Theory 59(8): 5039-5050 (2013) - [j9]Gongguo Tang, Badri Narayan Bhaskar, Parikshit Shah, Benjamin Recht:
Compressed Sensing Off the Grid. IEEE Trans. Inf. Theory 59(11): 7465-7490 (2013) - [j8]Badri Narayan Bhaskar, Gongguo Tang, Benjamin Recht:
Atomic Norm Denoising With Applications to Line Spectral Estimation. IEEE Trans. Signal Process. 61(23): 5987-5999 (2013) - [c15]Gongguo Tang, Badri Narayan Bhaskar, Benjamin Recht:
Sparse recovery over continuous dictionaries-just discretize. ACSSC 2013: 1043-1047 - [c14]Gongguo Tang, Badri Narayan Bhaskar, Benjamin Recht:
Near minimax line spectral estimation. CISS 2013: 1-6 - [p1]Satyabrata Sen, Gongguo Tang, Arye Nehorai:
Designing OFDM Radar Waveform for Target Detection Using Multi-objective Optimization. Advances in Heuristic Signal Processing and Applications 2013: 35-61 - [i10]Gongguo Tang, Badri Narayan Bhaskar, Benjamin Recht:
Near Minimax Line Spectral Estimation. CoRR abs/1303.4348 (2013) - 2012
- [j7]Gongguo Tang, Arye Nehorai:
The Stability of Low-Rank Matrix Reconstruction: A Constrained Singular Value View. IEEE Trans. Inf. Theory 58(9): 6079-6092 (2012) - [c13]Gongguo Tang, Badri Narayan Bhaskar, Parikshit Shah, Benjamin Recht:
Compressive sensing off the grid. Allerton Conference 2012: 778-785 - [c12]Parikshit Shah, Badri Narayan Bhaskar, Gongguo Tang, Benjamin Recht:
Linear system identification via atomic norm regularization. CDC 2012: 6265-6270 - [c11]Matthew Malloy, Gongguo Tang, Robert D. Nowak:
Quickest search for a rare distribution. CISS 2012: 1-6 - [c10]Peng Yang, Gongguo Tang, Arye Nehorai:
Optimal time-of-use electricity pricing using game theory. ICASSP 2012: 3081-3084 - [i9]Badri Narayan Bhaskar, Gongguo Tang, Benjamin Recht:
Atomic norm denoising with applications to line spectral estimation. CoRR abs/1204.0562 (2012) - [i8]Parikshit Shah, Badri Narayan Bhaskar, Gongguo Tang, Benjamin Recht:
Linear System Identification via Atomic Norm Regularization. CoRR abs/1204.0590 (2012) - [i7]Gongguo Tang, Badri Narayan Bhaskar, Parikshit Shah, Benjamin Recht:
Compressed Sensing off the Grid. CoRR abs/1207.6053 (2012) - [i6]Matthew Malloy, Gongguo Tang, Robert D. Nowak:
The Sample Complexity of Search over Multiple Populations. CoRR abs/1209.1380 (2012) - 2011
- [j6]Satyabrata Sen, Gongguo Tang, Arye Nehorai:
Multiobjective Optimization of OFDM Radar Waveform for Target Detection. IEEE Trans. Signal Process. 59(2): 639-652 (2011) - [j5]Gongguo Tang, Arye Nehorai:
Lower Bounds on the Mean-Squared Error of Low-Rank Matrix Reconstruction. IEEE Trans. Signal Process. 59(10): 4559-4571 (2011) - [j4]Gongguo Tang, Arye Nehorai:
Constrained Cramér-Rao Bound on Robust Principal Component Analysis. IEEE Trans. Signal Process. 59(10): 5070-5076 (2011) - [j3]Gongguo Tang, Arye Nehorai:
Performance Analysis of Sparse Recovery Based on Constrained Minimal Singular Values. IEEE Trans. Signal Process. 59(12): 5734-5745 (2011) - [c9]Peng Yang, Gongguo Tang, Arye Nehorai:
Sparsity-enforced regression based on over-complete dictionary. CAMSAP 2011: 261-264 - [c8]Gongguo Tang, Arye Nehorai:
Computable performance analysis of block-sparsity recovery. CAMSAP 2011: 265-268 - [c7]Gongguo Tang, Arye Nehorai:
Verifiable and computable ℓ∞ performance evaluation of ℓ1 sparse signal recovery. CISS 2011: 1-6 - [c6]Gongguo Tang, Arye Nehorai:
Robust principal component analysis based on low-rank and block-sparse matrix decomposition. CISS 2011: 1-5 - [i5]Gongguo Tang, Arye Nehorai:
Verifiable and Computable linfinitfy Performance Evaluation of l1 Sparse Signal Recovery. CoRR abs/1102.4868 (2011) - [i4]Gongguo Tang, Arye Nehorai:
Fixed point theory and semidefinite programming for computable performance analysis of block-sparsity recovery. CoRR abs/1110.1078 (2011) - 2010
- [j2]Gongguo Tang, Arye Nehorai:
Performance analysis for sparse support recovery. IEEE Trans. Inf. Theory 56(3): 1383-1399 (2010) - [c5]Marija M. Nikolic, Gongguo Tang, Antonije R. Djordjevic, Arye Nehorai:
Electromagnetic imaging using compressive sensing. Allerton 2010: 1737-1741 - [c4]Gongguo Tang, Arye Nehorai:
The stability of low-rank matrix reconstruction: A constrained singular value perspective. Allerton 2010: 1745-1751 - [c3]Gongguo Tang, Arye Nehorai:
Support recovery for source localization based on overcomplete signal representation. ICASSP 2010: 2730-2733 - [i3]Gongguo Tang, Arye Nehorai:
The ℓ1-Constrained Minimal Singular Value: a Computable Quantification of the Stability of Sparse Signal Reconstruction. CoRR abs/1004.4222 (2010) - [i2]Gongguo Tang, Arye Nehorai:
The Stability of Low-Rank Matrix Reconstruction: a Constrained Singular Value View. CoRR abs/1006.4088 (2010)
2000 – 2009
- 2009
- [c2]Gongguo Tang, Arye Nehorai:
Performance analysis of support recovery with joint sparsity constraints. Allerton 2009: 258-264 - [i1]Gongguo Tang, Arye Nehorai:
Performance analysis for sparse support recovery. CoRR abs/0908.0744 (2009) - 2007
- [j1]Gongguo Tang, Lei Guo:
Convergence of a Class of Multi-Agent Systems In Probabilistic Framework. J. Syst. Sci. Complex. 20(2): 173-197 (2007) - [c1]Gongguo Tang, Lei Guo:
Convergence of a class of multi-agent systems in probabilistic framework. CDC 2007: 318-323
Coauthor Index
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