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2020 – today
- 2020
[j57]Yue Wu
, Shaodan Ma, Yuantao Gu:
A Unified Framework of Non-Orthogonal Pilot Design for Multi-Cell Massive MIMO Systems. IEEE Trans. Commun. 68(12): 7623-7633 (2020)- [j56]Zhengda Qin, Badong Chen, Yuantao Gu, Nanning Zheng, José C. Príncipe:
Probability Density Rank-Based Quantization for Convex Universal Learning Machines. IEEE Trans. Neural Networks Learn. Syst. 31(8): 3100-3113 (2020) - [j55]Xianghui Mao, Kun Yuan, Yubin Hu, Yuantao Gu, Ali H. Sayed, Wotao Yin:
Walkman: A Communication-Efficient Random-Walk Algorithm for Decentralized Optimization. IEEE Trans. Signal Process. 68: 2513-2528 (2020) - [j54]Xingyu Xu, Gen Li, Yuantao Gu:
Unraveling the Veil of Subspace RIP Through Near-Isometry on Subspaces. IEEE Trans. Signal Process. 68: 3117-3131 (2020) - [j53]Gen Li, Xingyu Xu, Yuantao Gu:
Lower Bound for RIP Constants and Concentration of Sum of Top Order Statistics. IEEE Trans. Signal Process. 68: 3169-3178 (2020) - [j52]Yuqing Xie, Yingsong Li, Yuantao Gu, Jiuwen Cao, Badong Chen:
Fixed-Point Minimum Error Entropy With Fiducial Points. IEEE Trans. Signal Process. 68: 3824-3833 (2020) - [j51]Chengzhu Yang, Yuantao Gu, Badong Chen, Hongbing Ma, Hing Cheung So:
Learning Proximal Operator Methods for Nonconvex Sparse Recovery with Theoretical Guarantee. IEEE Trans. Signal Process. 68: 5244-5259 (2020) - [c72]Linghang Meng, Yuchen Jiao, Yuantao Gu:
An Easy-to-Implement Framework of Fast Subspace Clustering For Big Data Sets. ICASSP 2020: 3612-3616 - [c71]Yue Wu, Shaodan Med, Yuantao Gu:
Distributed Non-Orthogonal Pilot Design for Multi-Cell Massive Mimo Systems. ICASSP 2020: 5195-5199 - [c70]Xingyu Xu, Yuchen Jiao, Yuantao Gu:
Principal Angle Detector for Subspace Signal with Structured Unknown Interference. ICASSP 2020: 6019-6023 - [c69]Gen Li, Yuting Wei, Yuejie Chi, Yuantao Gu, Yuxin Chen:
Sample Complexity of Asynchronous Q-Learning: Sharper Analysis and Variance Reduction. NeurIPS 2020 - [c68]Gen Li, Yuting Wei, Yuejie Chi, Yuantao Gu, Yuxin Chen:
Breaking the Sample Size Barrier in Model-Based Reinforcement Learning with a Generative Model. NeurIPS 2020 - [i43]Gen Li, Yuting Wei, Yuejie Chi, Yuantao Gu, Yuxin Chen:
Breaking the Sample Size Barrier in Model-Based Reinforcement Learning with a Generative Model. CoRR abs/2005.12900 (2020) - [i42]Gen Li, Yuting Wei, Yuejie Chi, Yuantao Gu, Yuxin Chen:
Sample Complexity of Asynchronous Q-Learning: Sharper Analysis and Variance Reduction. CoRR abs/2006.03041 (2020) - [i41]Gen Li, Yuantao Gu, Jie Ding:
The Efficacy of L1s Regularization in Two-Layer Neural Networks. CoRR abs/2010.01048 (2020)
2010 – 2019
- 2019
- [j50]Qinghua Liu, Xinyue Shen, Yuantao Gu:
Linearized ADMM for Nonconvex Nonsmooth Optimization With Convergence Analysis. IEEE Access 7: 76131-76144 (2019) - [j49]Xindi Wang, Qingfeng Zhou, Yuantao Gu, Jun Tong:
Compressive Sensing-Based Data Aggregation Approaches for Dynamic WSNs. IEEE Commun. Lett. 23(6): 1073-1076 (2019) - [j48]Xianghui Mao, Yuantao Gu, Wotao Yin:
Walk Proximal Gradient: An Energy-Efficient Algorithm for Consensus Optimization. IEEE Internet Things J. 6(2): 2048-2060 (2019) - [j47]Qi Liu, Yuantao Gu, Hing-Cheung So:
Smoothed sparse recovery via locally competitive algorithm and forward Euler discretization method. Signal Process. 157: 97-102 (2019) - [j46]Qi Liu, Yuantao Gu, Hing Cheung So:
DOA Estimation in Impulsive Noise via Low-Rank Matrix Approximation and Weakly Convex Optimization. IEEE Trans. Aerosp. Electron. Syst. 55(6): 3603-3616 (2019) - [j45]Lujuan Dang, Badong Chen, Shiyuan Wang, Yuantao Gu, José C. Príncipe:
Kernel Kalman Filtering With Conditional Embedding and Maximum Correntropy Criterion. IEEE Trans. Circuits Syst. I Regul. Pap. 66-I(11): 4265-4277 (2019) - [j44]Chengzhu Yang, Xinyue Shen, Hongbing Ma, Badong Chen, Yuantao Gu, Hing Cheung So:
Weakly Convex Regularized Robust Sparse Recovery Methods With Theoretical Guarantees. IEEE Trans. Signal Process. 67(19): 5046-5061 (2019) - [j43]Yue Wu, Yuantao Gu, Zhaocheng Wang:
Efficient Channel Estimation for mmWave MIMO With Transceiver Hardware Impairments. IEEE Trans. Veh. Technol. 68(10): 9883-9895 (2019) - [c67]Xudong Han, Shun Zhang, Anteneh Mohammed, Weile Zhang, Nan Zhao, Yuantao Gu:
Capturing the Sparsity for Massive MIMO Channel with Approximate Message Passing. CSPS 2019: 214-222 - [c66]Yue Wu, Yuchen Jiao, Feifei Gao, Yuantao Gu:
Pilot-Free Channel Change Detection for mmWave Massive MIMO System. GLOBECOM 2019: 1-6 - [c65]Shuoyang Li, Yuantao Gu, Yuhui Luo, Jonathon A. Chambers, Wenwu Wang:
Enhanced Streaming Based Subspace Clustering Applied to Acoustic Scene Data Clustering. ICASSP 2019: 11-15 - [c64]Yushu Pan, Yuchen Jiao, Tiejian Li, Yuantao Gu:
An Efficient Algorithm for Hyperspectral Image Clustering. ICASSP 2019: 2167-2171 - [c63]Gen Li, Jingkai Yan, Yuantao Gu:
Information Theoretic Lower Bound of Restricted Isometry Property Constant. ICASSP 2019: 5297-5301 - [c62]Mingjin Wang, Feifei Gao, Yuantao Gu, Mark F. Flanagan:
A Block Sparsity Based Channel Estimation Technique for mmWave Massive MIMO with Beam Squint Effect. ICC 2019: 1-6 - [i40]Badong Chen, Lujuan Dang, Yuantao Gu, Nanning Zheng, José C. Príncipe:
Minimum Error Entropy Kalman Filter. CoRR abs/1904.06617 (2019) - [i39]Xingyu Xu, Gen Li, Yuantao Gu:
Johnson-Lindenstrauss Property Implies Subspace Restricted Isometry Property. CoRR abs/1905.09608 (2019) - [i38]Gen Li, Xingyu Xu, Yuantao Gu:
Lower Bound for RIP Constants and Concentration of Sum of Top Order Statistics. CoRR abs/1907.06054 (2019) - [i37]Yuchen Jiao, Gen Li, Yuantao Gu:
Compressed Subspace Learning Based on Canonical Angle Preserving Property. CoRR abs/1907.06166 (2019) - [i36]Gen Li, Yuantao Gu:
Theory of Spectral Method for Union of Subspaces-Based Random Geometry Graph. CoRR abs/1907.10906 (2019) - 2018
- [j42]Yue Wu, Yuantao Gu, Zhaocheng Wang:
Channel Estimation for mmWave MIMO With Transmitter Hardware Impairments. IEEE Commun. Lett. 22(2): 320-323 (2018) - [j41]Yuchen Jiao, Yanxi Chen, Yuantao Gu:
Subspace Change-Point Detection: A New Model and Solution. IEEE J. Sel. Top. Signal Process. 12(6): 1224-1239 (2018) - [j40]Linghang Meng, Gen Li, Jingkai Yan, Yuantao Gu:
A General Framework for Understanding Compressed Subspace Clustering Algorithms. IEEE J. Sel. Top. Signal Process. 12(6): 1504-1519 (2018) - [j39]Qi Liu, Chengzhu Yang, Yuantao Gu, Hing-Cheung So:
Robust sparse recovery via weakly convex optimization in impulsive noise. Signal Process. 152: 84-89 (2018) - [j38]Yanxi Chen, Gen Li, Yuantao Gu:
Active Orthogonal Matching Pursuit for Sparse Subspace Clustering. IEEE Signal Process. Lett. 25(2): 164-168 (2018) - [j37]Jiayang Wang, Gen Li, Lucas Rencker, Wenwu Wang, Yuantao Gu:
An RIP-Based Performance Guarantee of Covariance-Assisted Matching Pursuit. IEEE Signal Process. Lett. 25(6): 828-832 (2018) - [j36]Gen Li, Yuantao Gu:
Restricted Isometry Property of Gaussian Random Projection for Finite Set of Subspaces. IEEE Trans. Signal Process. 66(7): 1705-1720 (2018) - [j35]Xinyue Shen, Yuantao Gu:
Nonconvex Sparse Logistic Regression With Weakly Convex Regularization. IEEE Trans. Signal Process. 66(12): 3199-3211 (2018) - [j34]Chengzhu Yang, Xinyue Shen, Hongbing Ma, Yuantao Gu, Hing-Cheung So:
Sparse Recovery Conditions and Performance Bounds for ℓp-Minimization. IEEE Trans. Signal Process. 66(19): 5014-5028 (2018) - [j33]Xianghui Mao, Kai Qiu, Tiejian Li, Yuantao Gu:
Spatio-Temporal Signal Recovery Based on Low Rank and Differential Smoothness. IEEE Trans. Signal Process. 66(23): 6281-6296 (2018) - [c61]Xinyue Shen, Yuchen Jiao, Yuantao Gu:
Subspace Data Visualization with Dissimilarity Based on Principal Angle. DSW 2018: 16-20 - [c60]Yating Liu, Yuantao Gu:
A Novel Backbone Network Anomaly Detector via Clustering in Sketch Space. DSW 2018: 31-35 - [c59]Gen Li, Qinghua Liu, Yuantao Gu:
Restricted Isometry Property for Low-Dimensional Subspaces and its Application in Compressed Subspace Clustering. DSW 2018: 86-90 - [c58]Yuchen Jiao, Xinyue Shen, Gen Li, Yuantao Gu:
Subspace Principal Angle Preserving Property of Gaussian Random Projection. DSW 2018: 115-119 - [c57]Yanxi Chen, Xianghui Mao, Dan Ling, Yuantao Gu:
Change-Point Detection of Gaussian Graph Signals with Partial Information. ICASSP 2018: 3934-3938 - [c56]Xinyue Shen, Yuantao Gu:
Nonconvex Sparse Logistic Regression via Proximal Gradient Descent. ICASSP 2018: 4079-4083 - [c55]Xianghui Mao, Yuantao Gu:
A Joint Detection and Reconstruction Method for Blind Graph Signal Recovery. ICASSP 2018: 4184-4188 - [c54]Gen Li, Yuchen Jiao, Yuantao Gu:
Convergence Analysis on a Fast Iterative Phase Retrieval Algorithm Without Independence Assumption. ICASSP 2018: 4624-4628 - [c53]Gen Li, Jingkai Yan, Yuantao Gu:
Outage Probability Conjecture Does Not Hold for Two-Input-Multiple-Output (TIM 0) System. ISIT 2018: 1345-1349 - [i35]Gen Li, Qinghua Liu, Yuantao Gu:
Rigorous Restricted Isometry Property of Low-Dimensional Subspaces. CoRR abs/1801.10058 (2018) - [i34]Wotao Yin, Xianghui Mao, Kun Yuan, Yuantao Gu, Ali H. Sayed:
A Communication-Efficient Random-Walk Algorithm for Decentralized Optimization. CoRR abs/1804.06568 (2018) - 2017
- [j32]Kai Qiu, Xianghui Mao, Xinyue Shen, Xiaohan Wang, Tiejian Li, Yuantao Gu:
Time-Varying Graph Signal Reconstruction. IEEE J. Sel. Top. Signal Process. 11(6): 870-883 (2017) - [j31]Qi Liu, Hing-Cheung So, Yuantao Gu:
Off-grid DOA estimation with nonconvex regularization via joint sparse representation. Signal Process. 140: 171-176 (2017) - [j30]Xiudong Wang, Yuantao Gu:
Cross-Label Suppression: A Discriminative and Fast Dictionary Learning With Group Regularization. IEEE Trans. Image Process. 26(8): 3859-3873 (2017) - [c52]Yuchen Jiao, Gen Li, Yuantao Gu:
Principal angles preserving property of Gaussian random projection for subspaces. GlobalSIP 2017: 318-322 - [c51]Gen Li, Yuantao Gu:
Distance-preserving property of random projection for subspaces. ICASSP 2017: 3959-3963 - [c50]Linghang Meng, Xinyue Shen, Yuantao Gu:
Sparse subspace clustering using square-root penalty. DSP 2017: 1-5 - [i33]Gen Li, Yuantao Gu:
Restricted Isometry Property of Gaussian Random Projection for Finite Set of Subspaces. CoRR abs/1704.02109 (2017) - [i32]Qinghua Liu, Xinyue Shen, Yuantao Gu:
Linearized ADMM for Non-convex Non-smooth Optimization with Convergence Analysis. CoRR abs/1705.02502 (2017) - [i31]Xiudong Wang, Yuantao Gu:
Cross-label Suppression: A Discriminative and Fast Dictionary Learning with Group Regularization. CoRR abs/1705.02928 (2017) - [i30]Xinyue Shen, Yuantao Gu:
Nonconvex Sparse Logistic Regression with Weakly Convex Regularization. CoRR abs/1708.02059 (2017) - [i29]Yanxi Chen, Gen Li, Yuantao Gu:
Active Orthogonal Matching Pursuit for Sparse Subspace Clustering. CoRR abs/1708.04764 (2017) - [i28]Gen Li, Jingkai Yan, Yuantao Gu:
On the Outage Probability Conjecture for MIMO Channels. CoRR abs/1711.01782 (2017) - [i27]Gen Li, Yuchen Jiao, Yuantao Gu:
Linear Convergence of An Iterative Phase Retrieval Algorithm with Data Reuse. CoRR abs/1712.01712 (2017) - 2016
- [j29]Jiang Zhu, Rick S. Blum, Xiaokang Lin, Yuantao Gu:
Robust Transmit Beamforming for Parameter Estimation Using Distributed Sensors. IEEE Commun. Lett. 20(7): 1329-1332 (2016) - [j28]Xiaohan Wang, Jiaxuan Chen, Yuantao Gu:
Local measurement and reconstruction for noisy bandlimited graph signals. Signal Process. 129: 119-129 (2016) - [j27]Xinyue Shen, Laming Chen, Yuantao Gu, Hing-Cheung So:
Square-Root Lasso With Nonconvex Regularization: An ADMM Approach. IEEE Signal Process. Lett. 23(7): 934-938 (2016) - [c49]Xinyue Shen, Steven Diamond, Yuantao Gu, Stephen P. Boyd:
Disciplined convex-concave programming. CDC 2016: 1009-1014 - [c48]Xiudong Wang, Yuantao Gu:
Out-of-label suppression dictionary learning with cluster regularization. GlobalSIP 2016: 307-311 - [c47]Xinyue Shen, Hamid Krim, Yuantao Gu:
Beyond union of subspaces: Subspace pursuit on Grassmann manifold for data representation. ICASSP 2016: 4079-4083 - [c46]Kai Qiu, Xiaohan Wang, Tiejian Li, Yuantao Gu:
Graph-based reconstruction of time-varying spatial signals. DSP 2016: 355-359 - [c45]Yuantao Gu, Zhaoqun Chen, Pengfei Liu, Xiaohan Wang, Yating Liu, Junli Zheng:
More exercises, higher score: A case study by using online teaching assistant system. DSP 2016: 537-541 - [c44]Ruiyang Song, Laming Chen, Yuantao Gu:
Performance estimation of sparse signal recovery under Bernoulli random projection with oracle information. DSP 2016: 695-699 - [i26]Jinye Zhang, Laming Chen, Petros T. Boufounos, Yuantao Gu:
Cross Validation in Compressive Sensing and its Application of OMP-CV Algorithm. CoRR abs/1602.06373 (2016) - 2015
- [j26]Hongquan Liu, Hongfeng Yang, Yehua Wang, Bing Wang, Yuantao Gu:
CAR: Coding-Aware Opportunistic Routing for Unicast Traffic in Wireless Mesh Networks. J. Netw. Syst. Manag. 23(4): 1104-1124 (2015) - [j25]Xiaohan Wang, Mengdi Wang, Yuantao Gu:
A Distributed Tracking Algorithm for Reconstruction of Graph Signals. IEEE J. Sel. Top. Signal Process. 9(4): 728-740 (2015) - [j24]Xinyue Shen, Yuantao Gu:
Restricted Isometry Property of Subspace Projection Matrix Under Random Compression. IEEE Signal Process. Lett. 22(9): 1326-1330 (2015) - [j23]Laming Chen, Yuantao Gu:
On the Null Space Constant for ℓp Minimization. IEEE Signal Process. Lett. 22(10): 1600-1603 (2015) - [j22]Jingbo Liu, Jian Jin, Yuantao Gu:
Robustness of Sparse Recovery via F-Minimization: A Topological Viewpoint. IEEE Trans. Inf. Theory 61(7): 3996-4014 (2015) - [j21]Xiaohan Wang, Pengfei Liu, Yuantao Gu:
Local-Set-Based Graph Signal Reconstruction. IEEE Trans. Signal Process. 63(9): 2432-2444 (2015) - [j20]Jiang Zhu, Xiaokang Lin, Rick S. Blum, Yuantao Gu:
Parameter Estimation From Quantized Observations in Multiplicative Noise Environments. IEEE Trans. Signal Process. 63(15): 4037-4050 (2015) - [j19]Shuyang Jiang, Yuantao Gu:
Block-Sparsity-Induced Adaptive Filter for Multi-Clustering System Identification. IEEE Trans. Signal Process. 63(20): 5318-5330 (2015) - [c43]Gen Li, Yuantao Gu, Yue M. Lu:
Phase retrieval using iterative projections: Dynamics in the large systems limit. Allerton 2015: 1114-1118 - [c42]Xinyue Shen, Yuantao Gu:
Anti-sparse representation for continuous function by dual atomic norm with application in OFDM. GlobalSIP 2015: 270-274 - [c41]Xiaohan Wang, Jiaxuan Chen, Yuantao Gu:
Generalized graph signal sampling and reconstruction. GlobalSIP 2015: 567-571 - [c40]Pengfei Liu, Xiaohan Wang, Yuantao Gu:
Optimizing spectral diversity for graph signal coarsening. GlobalSIP 2015: 858-862 - [c39]Laming Chen, Yuantao Gu:
Fast sparse recovery via non-convex optimization. GlobalSIP 2015: 1275-1279 - [c38]Xinyue Shen, Yuantao Gu:
Subspace projection matrix completion on Grassmann manifold. ICASSP 2015: 3297-3301 - [c37]Jialin Liu, Yuantao Gu, Mengdi Wang:
Averaging random projection: A fast online solution for large-scale constrained stochastic optimization. ICASSP 2015: 3586-3590 - [c36]Laming Chen, Yuantao Gu:
Local and global optimality of LP minimization for sparse recovery. ICASSP 2015: 3596-3600 - [c35]Xianghui Mao, Xiaohan Wang, Yuantao Gu:
Downsampling for sparse subspace clustering. ICASSP 2015: 3806-3810 - [c34]Jiawei Zhou, Laming Chen, Yuantao Gu:
Dynamic zero-point attracting projection for time-varying sparse signal recovery. ICASSP 2015: 5485-5489 - [i25]Xinyue Shen, Yuantao Gu:
Restricted Isometry Property of Subspace Projection Matrix Under Random Compression. CoRR abs/1502.02245 (2015) - [i24]Xiaohan Wang, Mengdi Wang, Yuantao Gu:
A Distributed Tracking Algorithm for Reconstruction of Graph Signals. CoRR abs/1502.02973 (2015) - [i23]Laming Chen, Yuantao Gu:
On the Null Space Constant for lp Minimization. CoRR abs/1503.00426 (2015) - [i22]Xiaohan Wang, Jiaxuan Chen, Yuantao Gu:
Local Measurement and Reconstruction for Noisy Graph Signals. CoRR abs/1504.01456 (2015) - [i21]Mengdi Wang, Yichen Chen, Jialin Liu, Yuantao Gu:
Random Multi-Constraint Projection: Stochastic Gradient Methods for Convex Optimization with Many Constraints. CoRR abs/1511.03760 (2015) - 2014
- [j18]Jiang Zhu, Xiaohan Wang, Xiaokang Lin, Yuantao Gu:
Maximum Likelihood Estimation From Sign Measurements With Sensing Matrix Perturbation. IEEE Trans. Signal Process. 62(15): 3741-3753 (2014) - [j17]Laming Chen, Yuantao Gu:
The Convergence Guarantees of a Non-Convex Approach for Sparse Recovery. IEEE Trans. Signal Process. 62(15): 3754-3767 (2014) - [c33]Xiaohan Wang, Pengfei Liu, Yuantao Gu:
Iterative reconstruction of graph signal in low-frequency subspace. GlobalSIP 2014: 448-452 - [c32]Xianghui Mao, Yuantao Gu:
Compressed subspace clustering: A case study. GlobalSIP 2014: 453-457 - [c31]Pengfei Liu, Xiaohan Wang, Yuantao Gu:
Graph signal coarsening: Dimensionality reduction in irregular domain. GlobalSIP 2014: 798-802 - [c30]Pengfei Liu, Xiaohan Wang, Yuantao Gu:
Coarsening graph signal with spectral invariance. ICASSP 2014: 1070-1074 - [c29]Laming Chen, Yuantao Gu:
The convergence guarantees of a non-convex approach for sparse recovery using regularized least squares. ICASSP 2014: 3350-3354 - [c28]Xinyue Shen, Justin K. Romberg, Yuantao Gu:
Robust off-grid recovery from compressed measurements. ICASSP 2014: 3355-3359 - [c27]Jinye Zhang, Laming Chen, Petros T. Boufounos, Yuantao Gu:
On the theoretical analysis of cross validation in compressive sensing. ICASSP 2014: 3370-3374 - [c26]Yuantao Gu, Mengdi Wang:
Learning distributed jointly sparse systems by collaborative LMS. ICASSP 2014: 7228-7232 - [c25]Dong Yin, Hing-Cheung So, Yuantao Gu:
Sparse constraint affine projection algorithm with parallel implementation and application in compressive sensing. ICASSP 2014: 7238-7242 - [c24]Pengfei Liu, Xiaohan Wang, Xiangqian Che, Zhaoqun Chen, Yuantao Gu:
Defense against sybil attacks in directed social networks. DSP 2014: 239-243 - [c23]Laming Chen, Yuantao Gu:
Robust recovery of low-rank matrices via non-convex optimization. DSP 2014: 355-360 - [c22]Laming Chen, Yuantao Gu:
Robust sparse recovery via non-convex optimization. DSP 2014: 742-747 - [i20]Xiaohan Wang, Pengfei Liu, Yuantao Gu:
Local-set-based Graph Signal Reconstruction. CoRR abs/1410.3944 (2014) - [i19]Shuyang Jiang, Yuantao Gu:
Block-Sparsity-Induced Adaptive Filter for Multi-Clustering System Identification. CoRR abs/1410.5024 (2014) - 2013
- [j16]Yong-sheng Cheng, Yuantao Gu, Xiaokang Lin:
Combined power control and link selection in deviceto-device enabled cellular systems. IET Commun. 7(12): 1221-1230 (2013) - [j15]Jian Jin, Qing Qu, Yuantao Gu:
Robust zero-point attraction least mean square algorithm on near sparse system identification. IET Signal Process. 7(3): 210-218 (2013) - [j14]Xiaohan Wang, Zhaoqun Chen, Pengfei Liu, Yuantao Gu:
Edge Balance Ratio: Power Law From Vertices to Edges in Directed Complex Network. IEEE J. Sel. Top. Signal Process. 7(2): 184-194 (2013) - [j13]Jie Ding, Laming Chen, Yuantao Gu:
Perturbation Analysis of Orthogonal Matching Pursuit. IEEE Trans. Signal Process. 61(2): 398-410 (2013) - [j12]Yujie Tang, Laming Chen, Yuantao Gu:
On the Performance Bound of Sparse Estimation With Sensing Matrix Perturbation. IEEE Trans. Signal Process. 61(17): 4372-4386 (2013) - [j11]Laming Chen, Yuantao Gu:
Oracle-Order Recovery Performance of Greedy Pursuits With Replacement Against General Perturbations. IEEE Trans. Signal Process. 61(18): 4625-4636 (2013) - [c21]Yaming Wang, Laming Chen, Yuantao Gu:
On estimating the loss of signal-to-noise ratio in compressive sensing based systems. ChinaSIP 2013: 54-57 - [c20]Laming Chen, Yuantao Gu:
From least squares to sparse: A non-convex approach with guarantee. ICASSP 2013: 5875-5879 - [c19]