Optimal variable step-size LMS model and algorithm with independence assumption. - Yuantao Gu; Kun Tang; Huijuan Cui; Wen Du (Sci. China Ser. F Inf. Sci., 2003)

Convergence analysis of a deficient-length LMS filter and optimal-length sequence to model exponential decay impulse response. - Yuantao Gu; Kun Tang; Huijuan Cui; Wen Du (IEEE Signal Process. Lett., 2003)

Select eigenfaces for face recognition with one training sample per subject. - Jie Wang 010; Yuantao Gu; Konstantinos N. Plataniotis; Anastasios N. Venetsanopoulos (ICARCV, 2004)

Sufficient condition for tap-length gradient adaption of LMS algorithm. - Yuantao Gu; Kun Tang; Huijuan Cui (ICASSP (2), 2004)

Superior step-size theorem and its application - Parallel variable step-size LMS filters algorithm. - Yuantao Gu; Kun Tang; Huijuan Cui (Sci. China Ser. F Inf. Sci., 2004)

LMS algorithm with gradient descent filter length. - Yuantao Gu; Kun Tang; Huijuan Cui (IEEE Signal Process. Lett., 2004)

Novel Color-Based Target Representation for Visual Object Tracking. - Yuantao Gu; Yilun Chen; Jie Wang (ICASSP (2), 2006)

Parallel Nlms Filters with Stochastic Active Taps and Step-Sizes for Sparse System Identification. - Yancheng Li; Yuantao Gu; Kun Tang (ICASSP (3), 2006)

Detection of Roads in SAR Images using Particle Filter. - Yilun Chen; Qiong Yang; Yuantao Gu; Jian Yang 011 (ICIP, 2006)

Particle Filter Based Multi-Camera Integration for Face 3D-Pose Tracking. - Yuantao Gu; Yilun Chen; Zhengwei Jiang; Kun Tang (Int. J. Wavelets Multiresolution Inf. Process., 2006)

Sparse LMS for system identification. - Yilun Chen; Yuantao Gu; Alfred O. Hero III (ICASSP, 2009)

l0 Norm Constraint LMS Algorithm for Sparse System Identification. - Yuantao Gu; Jian Jin; Shunliang Mei (IEEE Signal Process. Lett., 2009)

SAUR: A Service Aided UWB Routing for Wireless Mesh Networks. - Siming Song; Feng Zhu; Yuantao Gu; Xin Guo; Yuxin Wei (ICC, 2010)

A Stochastic Gradient Approach on Compressive Sensing Signal Reconstruction Based on Adaptive Filtering Framework. - Jian Jin; Yuantao Gu; Shunliang Mei (IEEE J. Sel. Top. Signal Process., 2010)

A New Mechanism to Incorporate Network Coding Into TCP in Multi-radio Multi-channel Wireless Mesh Networks. - Hongquan Liu; Jiong Chen; Yuantao Gu (MSN, 2011)

Dual-pricing policy for controller-side strategies in demand side management. - Siyu Yue; Jiong Chen; Yuantao Gu; Chenye Wu; Yiyu Shi 001 (SmartGridComm, 2011)

A smart tracking-based jamming scheme for signals with periodic synchronization sequences. - Yuan Chen; Fei He; Jian Yan 001; Xiang Chen 007; Yuantao Gu (WCSP, 2011)

Performance of Orthogonal Matching Pursuit for Multiple Measurement Vectors - Jie Ding; Laming Chen; Yuantao Gu (CoRR, 2011)

Robustness of orthogonal matching pursuit for multiple measurement vectors in noisy scenario. - Jie Ding; Laming Chen; Yuantao Gu (ICASSP, 2012)

Efficient recovery of block sparse signals via zero-point attracting projection. - Jingbo Liu; Jian Jin; Yuantao Gu (ICASSP, 2012)

Quantization reference voltage of the Modulated Wideband Converter. - Yaming Wang; Laming Chen; Yuantao Gu (ICASSP, 2012)

Greedy pursuits: Stability of recovery performance against general perturbations. - Laming Chen; Jiong Chen; Yuantao Gu (ICNC, 2012)

Performance analysis of Orthogonal Matching Pursuit under general perturbations. - Jie Ding; Laming Chen; Yuantao Gu (ICNC, 2012)

Near-oracle Recovery Performance of Greedy Pursuits with Replacement against General Perturbations - Laming Chen; Yuantao Gu (CoRR, 2012)

Retrieve Sparse Solution of Multiple-Measurement Vectors via Zero-point Attracting Projection - Yang You; Laming Chen; Yuantao Gu; Wei Feng; Hui Dai (CoRR, 2012)

On the Performance Bound of Sparse Estimation with Sensing Matrix Perturbation - Yujie Tang; Laming Chen; Yuantao Gu (CoRR, 2012)

Follow Whom? Chinese Users Have Different Choice - Zhaoqun Chen; Pengfei Liu; Xiaohan Wang; Yuantao Gu (CoRR, 2012)

Zero-point attracting projection algorithm for sequential compressive sensing. - Yang You; Jian Jin; Wei Duan; Ningning Liu; Yuantao Gu; Jian Yang 011 (IEICE Electron. Express, 2012)

Retrieval of sparse solutions of multiple-measurement vectors via zero-point attracting projection. - Yang You; Laming Chen; Yuantao Gu; Wei Feng; Hui Dai (Signal Process., 2012)

Performance Analysis of $l_0$ Norm Constraint Least Mean Square Algorithm. - Guolong Su; Jian Jin; Yuantao Gu; Jian Wang (IEEE Trans. Signal Process., 2012)

Proof of Convergence and Performance Analysis for Sparse Recovery via Zero-Point Attracting Projection. - Xiaohan Wang; Yuantao Gu; Laming Chen (IEEE Trans. Signal Process., 2012)

On estimating the loss of signal-to-noise ratio in compressive sensing based systems. - Yaming Wang; Laming Chen; Yuantao Gu (ChinaSIP, 2013)

From least squares to sparse: A non-convex approach with guarantee. - Laming Chen; Yuantao Gu (ICASSP, 2013)

Backtracking matching pursuit with supplement set of arbitrary size. - Laming Chen; Yuantao Gu (ICASSP, 2013)

A greedy approach to Linear Prediction with sparse residuals. - Yuantao Gu (ICASSP, 2013)

Adaptive speech enhancement using sparse prior information. - Zhimin Xiang; Yuantao Gu (ICASSP, 2013)

Relation between exact and robust recovery for F-minimization: A topological viewpoint. - Jingbo Liu; Jian Jin; Yuantao Gu (ISIT, 2013)

Maximum Likelihood Estimation from Sign Measurements with Sensing Matrix Perturbation. - Jiang Zhu; Xiaohan Wang; Yuantao Gu (CoRR, 2013)

Zero-point attracting projection algorithm for sequential compressive sensing - Yang You; Jian Jin; Wei Duan; Ningning Liu; Yuantao Gu; Jian Yang (CoRR, 2013)

A Robust Zero-point Attraction LMS Algorithm on Near Sparse System Identification - Jian Jin; Qing Qu; Yuantao Gu (CoRR, 2013)

l_0 Norm Constraint LMS Algorithm for Sparse System Identification - Yuantao Gu; Jian Jin; Shunliang Mei (CoRR, 2013)

Combined power control and link selection in deviceto-device enabled cellular systems. - Yong-sheng Cheng; Yuantao Gu; Xiaokang Lin (IET Commun., 2013)

Robust zero-point attraction least mean square algorithm on near sparse system identification. - Jian Jin; Qing Qu; Yuantao Gu (IET Signal Process., 2013)

Edge Balance Ratio: Power Law From Vertices to Edges in Directed Complex Network. - Xiaohan Wang; Zhaoqun Chen; Pengfei Liu; Yuantao Gu (IEEE J. Sel. Top. Signal Process., 2013)

Oracle-Order Recovery Performance of Greedy Pursuits With Replacement Against General Perturbations. - Laming Chen; Yuantao Gu (IEEE Trans. Signal Process., 2013)

Perturbation Analysis of Orthogonal Matching Pursuit. - Jie Ding; Laming Chen; Yuantao Gu (IEEE Trans. Signal Process., 2013)

On the Performance Bound of Sparse Estimation With Sensing Matrix Perturbation. - Yujie Tang 002; Laming Chen; Yuantao Gu (IEEE Trans. Signal Process., 2013)

Graph signal coarsening: Dimensionality reduction in irregular domain. - Pengfei Liu; Xiaohan Wang; Yuantao Gu (GlobalSIP, 2014)

Compressed subspace clustering: A case study. - Xianghui Mao; Yuantao Gu (GlobalSIP, 2014)

Iterative reconstruction of graph signal in low-frequency subspace. - Xiaohan Wang; Pengfei Liu; Yuantao Gu (GlobalSIP, 2014)

The convergence guarantees of a non-convex approach for sparse recovery using regularized least squares. - Laming Chen; Yuantao Gu (ICASSP, 2014)

Learning distributed jointly sparse systems by collaborative LMS. - Yuantao Gu; Mengdi Wang (ICASSP, 2014)

Coarsening graph signal with spectral invariance. - Pengfei Liu; Xiaohan Wang; Yuantao Gu (ICASSP, 2014)

Robust off-grid recovery from compressed measurements. - Xinyue Shen 002; Justin K. Romberg; Yuantao Gu (ICASSP, 2014)

Sparse constraint affine projection algorithm with parallel implementation and application in compressive sensing. - Dong Yin; Hing-Cheung So; Yuantao Gu (ICASSP, 2014)

On the theoretical analysis of cross validation in compressive sensing. - Jinye Zhang; Laming Chen; Petros T. Boufounos; Yuantao Gu (ICASSP, 2014)

Robust recovery of low-rank matrices via non-convex optimization. - Laming Chen; Yuantao Gu (DSP, 2014)

Robust sparse recovery via non-convex optimization. - Laming Chen; Yuantao Gu (DSP, 2014)

Defense against sybil attacks in directed social networks. - Pengfei Liu; Xiaohan Wang; Xiangqian Che; Zhaoqun Chen; Yuantao Gu (DSP, 2014)

The Convergence Guarantees of a Non-Convex Approach for Sparse Recovery. - Laming Chen; Yuantao Gu (IEEE Trans. Signal Process., 2014)

Maximum Likelihood Estimation From Sign Measurements With Sensing Matrix Perturbation. - Jiang Zhu; Xiaohan Wang; Xiaokang Lin; Yuantao Gu (IEEE Trans. Signal Process., 2014)

Phase retrieval using iterative projections: Dynamics in the large systems limit. - Gen Li 005; Yuantao Gu; Yue M. Lu (Allerton, 2015)

Fast sparse recovery via non-convex optimization. - Laming Chen; Yuantao Gu (GlobalSIP, 2015)

Optimizing spectral diversity for graph signal coarsening. - Pengfei Liu; Xiaohan Wang; Yuantao Gu (GlobalSIP, 2015)

Anti-sparse representation for continuous function by dual atomic norm with application in OFDM. - Xinyue Shen 002; Yuantao Gu (GlobalSIP, 2015)

Generalized graph signal sampling and reconstruction. - Xiaohan Wang; Jiaxuan Chen 005; Yuantao Gu (GlobalSIP, 2015)

Local and global optimality of LP minimization for sparse recovery. - Laming Chen; Yuantao Gu (ICASSP, 2015)

Averaging random projection: A fast online solution for large-scale constrained stochastic optimization. - Jialin Liu 003; Yuantao Gu; Mengdi Wang (ICASSP, 2015)

Downsampling for sparse subspace clustering. - Xianghui Mao; Xiaohan Wang; Yuantao Gu (ICASSP, 2015)

Subspace projection matrix completion on Grassmann manifold. - Xinyue Shen 002; Yuantao Gu (ICASSP, 2015)

Dynamic zero-point attracting projection for time-varying sparse signal recovery. - Jiawei Zhou; Laming Chen; Yuantao Gu (ICASSP, 2015)

Local Measurement and Reconstruction for Noisy Graph Signals. - Xiaohan Wang; Jiaxuan Chen 005; Yuantao Gu (CoRR, 2015)

Random Multi-Constraint Projection: Stochastic Gradient Methods for Convex Optimization with Many Constraints. - Mengdi Wang; Yichen Chen; Jialin Liu 003; Yuantao Gu (CoRR, 2015)

CAR: Coding-Aware Opportunistic Routing for Unicast Traffic in Wireless Mesh Networks. - Hongquan Liu; Hongfeng Yang; Yehua Wang; Bing Wang; Yuantao Gu (J. Netw. Syst. Manag., 2015)

A Distributed Tracking Algorithm for Reconstruction of Graph Signals. - Xiaohan Wang; Mengdi Wang; Yuantao Gu (IEEE J. Sel. Top. Signal Process., 2015)

On the Null Space Constant for ℓp Minimization. - Laming Chen; Yuantao Gu (IEEE Signal Process. Lett., 2015)

Restricted Isometry Property of Subspace Projection Matrix Under Random Compression. - Xinyue Shen 002; Yuantao Gu (IEEE Signal Process. Lett., 2015)

Robustness of Sparse Recovery via F-Minimization: A Topological Viewpoint. - Jingbo Liu; Jian Jin; Yuantao Gu (IEEE Trans. Inf. Theory, 2015)

Block-Sparsity-Induced Adaptive Filter for Multi-Clustering System Identification. - Shuyang Jiang; Yuantao Gu (IEEE Trans. Signal Process., 2015)

Local-Set-Based Graph Signal Reconstruction. - Xiaohan Wang; Pengfei Liu; Yuantao Gu (IEEE Trans. Signal Process., 2015)

Parameter Estimation From Quantized Observations in Multiplicative Noise Environments. - Jiang Zhu 004; Xiaokang Lin; Rick S. Blum; Yuantao Gu (IEEE Trans. Signal Process., 2015)

Disciplined convex-concave programming. - Xinyue Shen 002; Steven Diamond; Yuantao Gu; Stephen P. Boyd (CDC, 2016)

Out-of-label suppression dictionary learning with cluster regularization. - Xiudong Wang; Yuantao Gu (GlobalSIP, 2016)

Beyond union of subspaces: Subspace pursuit on Grassmann manifold for data representation. - Xinyue Shen 002; Hamid Krim; Yuantao Gu (ICASSP, 2016)

More exercises, higher score: A case study by using online teaching assistant system. - Yuantao Gu; Zhaoqun Chen; Pengfei Liu; Xiaohan Wang; Yating Liu; Junli Zheng (DSP, 2016)

Graph-based reconstruction of time-varying spatial signals. - Kai Qiu; Xiaohan Wang; Tiejian Li; Yuantao Gu (DSP, 2016)

Performance estimation of sparse signal recovery under Bernoulli random projection with oracle information. - Ruiyang Song; Laming Chen; Yuantao Gu (DSP, 2016)

Cross Validation in Compressive Sensing and its Application of OMP-CV Algorithm. - Jinye Zhang; Laming Chen; Petros T. Boufounos; Yuantao Gu (CoRR, 2016)

Robust Transmit Beamforming for Parameter Estimation Using Distributed Sensors. - Jiang Zhu 004; Rick S. Blum; Xiaokang Lin; Yuantao Gu (IEEE Commun. Lett., 2016)

Local measurement and reconstruction for noisy bandlimited graph signals. - Xiaohan Wang; Jiaxuan Chen 005; Yuantao Gu (Signal Process., 2016)

Square-Root Lasso With Nonconvex Regularization: An ADMM Approach. - Xinyue Shen 002; Laming Chen; Yuantao Gu; Hing-Cheung So (IEEE Signal Process. Lett., 2016)

Principal angles preserving property of Gaussian random projection for subspaces. - Yuchen Jiao; Gen Li 005; Yuantao Gu (GlobalSIP, 2017)

Distance-preserving property of random projection for subspaces. - Gen Li 005; Yuantao Gu (ICASSP, 2017)

Sparse subspace clustering using square-root penalty. - Linghang Meng; Xinyue Shen 002; Yuantao Gu (DSP, 2017)

Linearized ADMM for Non-convex Non-smooth Optimization with Convergence Analysis. - Qinghua Liu; Xinyue Shen 002; Yuantao Gu (CoRR, 2017)

On the Outage Probability Conjecture for MIMO Channels. - Gen Li 005; Jingkai Yan; Yuantao Gu (CoRR, 2017)

Linear Convergence of An Iterative Phase Retrieval Algorithm with Data Reuse. - Gen Li 005; Yuchen Jiao; Yuantao Gu (CoRR, 2017)

Time-Varying Graph Signal Reconstruction. - Kai Qiu; Xianghui Mao; Xinyue Shen 002; Xiaohan Wang; Tiejian Li; Yuantao Gu (IEEE J. Sel. Top. Signal Process., 2017)

Off-grid DOA estimation with nonconvex regularization via joint sparse representation. - Qi Liu 005; Hing-Cheung So; Yuantao Gu (Signal Process., 2017)

Cross-Label Suppression: A Discriminative and Fast Dictionary Learning With Group Regularization. - Xiudong Wang; Yuantao Gu (IEEE Trans. Image Process., 2017)

Subspace Principal Angle Preserving Property of Gaussian Random Projection. - Yuchen Jiao; Xinyue Shen 002; Gen Li 005; Yuantao Gu (DSW, 2018)

Restricted Isometry Property for Low-Dimensional Subspaces and its Application in Compressed Subspace Clustering. - Gen Li 005; Qinghua Liu; Yuantao Gu (DSW, 2018)

A Novel Backbone Network Anomaly Detector via Clustering in Sketch Space. - Yating Liu; Yuantao Gu (DSW, 2018)

Subspace Data Visualization with Dissimilarity Based on Principal Angle. - Xinyue Shen 002; Yuchen Jiao; Yuantao Gu (DSW, 2018)

Change-Point Detection of Gaussian Graph Signals with Partial Information. - Yanxi Chen 001; Xianghui Mao; Dan Ling; Yuantao Gu (ICASSP, 2018)

Convergence Analysis on a Fast Iterative Phase Retrieval Algorithm Without Independence Assumption. - Gen Li 005; Yuchen Jiao; Yuantao Gu (ICASSP, 2018)

A Joint Detection and Reconstruction Method for Blind Graph Signal Recovery. - Xianghui Mao; Yuantao Gu (ICASSP, 2018)

Nonconvex Sparse Logistic Regression via Proximal Gradient Descent. - Xinyue Shen 002; Yuantao Gu (ICASSP, 2018)

Outage Probability Conjecture Does Not Hold for Two-Input-Multiple-Output (TIM 0) System. - Gen Li 005; Jingkai Yan; Yuantao Gu (ISIT, 2018)

Rigorous Restricted Isometry Property of Low-Dimensional Subspaces. - Gen Li 005; Qinghua Liu; Yuantao Gu (CoRR, 2018)

A Communication-Efficient Random-Walk Algorithm for Decentralized Optimization. - Wotao Yin; Xianghui Mao; Kun Yuan 001; Yuantao Gu; Ali H. Sayed (CoRR, 2018)

Channel Estimation for mmWave MIMO With Transmitter Hardware Impairments. - Yue Wu 005; Yuantao Gu; Zhaocheng Wang 001 (IEEE Commun. Lett., 2018)

Subspace Change-Point Detection: A New Model and Solution. - Yuchen Jiao; Yanxi Chen 001; Yuantao Gu (IEEE J. Sel. Top. Signal Process., 2018)

A General Framework for Understanding Compressed Subspace Clustering Algorithms. - Linghang Meng; Gen Li 005; Jingkai Yan; Yuantao Gu (IEEE J. Sel. Top. Signal Process., 2018)

Robust sparse recovery via weakly convex optimization in impulsive noise. - Qi Liu 005; Chengzhu Yang; Yuantao Gu; Hing-Cheung So (Signal Process., 2018)

Active Orthogonal Matching Pursuit for Sparse Subspace Clustering. - Yanxi Chen 001; Gen Li 005; Yuantao Gu (IEEE Signal Process. Lett., 2018)

An RIP-Based Performance Guarantee of Covariance-Assisted Matching Pursuit. - Jiayang Wang; Gen Li 005; Lucas Rencker; Wenwu Wang 001; Yuantao Gu (IEEE Signal Process. Lett., 2018)

Restricted Isometry Property of Gaussian Random Projection for Finite Set of Subspaces. - Gen Li 005; Yuantao Gu (IEEE Trans. Signal Process., 2018)

Spatio-Temporal Signal Recovery Based on Low Rank and Differential Smoothness. - Xianghui Mao; Kai Qiu; Tiejian Li; Yuantao Gu (IEEE Trans. Signal Process., 2018)

Nonconvex Sparse Logistic Regression With Weakly Convex Regularization. - Xinyue Shen 002; Yuantao Gu (IEEE Trans. Signal Process., 2018)

Sparse Recovery Conditions and Performance Bounds for ℓp-Minimization. - Chengzhu Yang; Xinyue Shen 002; Hongbing Ma; Yuantao Gu; Hing-Cheung So (IEEE Trans. Signal Process., 2018)

Capturing the Sparsity for Massive MIMO Channel with Approximate Message Passing. - Xudong Han; Shun Zhang 003; Anteneh Mohammed; Weile Zhang; Nan Zhao 001; Yuantao Gu (CSPS, 2019)

Pilot-Free Channel Change Detection for mmWave Massive MIMO System. - Yue Wu 005; Yuchen Jiao; Feifei Gao; Yuantao Gu (GLOBECOM, 2019)

Information Theoretic Lower Bound of Restricted Isometry Property Constant. - Gen Li 005; Jingkai Yan; Yuantao Gu (ICASSP, 2019)

Enhanced Streaming Based Subspace Clustering Applied to Acoustic Scene Data Clustering. - Shuoyang Li; Yuantao Gu; Yuhui Luo; Jonathon A. Chambers; Wenwu Wang 001 (ICASSP, 2019)

An Efficient Algorithm for Hyperspectral Image Clustering. - Yushu Pan; Yuchen Jiao; Tiejian Li; Yuantao Gu (ICASSP, 2019)

A Block Sparsity Based Channel Estimation Technique for mmWave Massive MIMO with Beam Squint Effect. - Mingjin Wang; Feifei Gao; Yuantao Gu; Mark F. Flanagan (ICC, 2019)

Linearized ADMM for Nonconvex Nonsmooth Optimization With Convergence Analysis. - Qinghua Liu; Xinyue Shen 002; Yuantao Gu (IEEE Access, 2019)

Johnson-Lindenstrauss Property Implies Subspace Restricted Isometry Property. - Xingyu Xu 001; Gen Li 005; Yuantao Gu (CoRR, 2019)

Compressed Subspace Learning Based on Canonical Angle Preserving Property. - Yuchen Jiao; Gen Li 005; Yuantao Gu (CoRR, 2019)

Compressive Sensing-Based Data Aggregation Approaches for Dynamic WSNs. - Xindi Wang 002; Qingfeng Zhou 001; Yuantao Gu; Jun Tong (IEEE Commun. Lett., 2019)

Walk Proximal Gradient: An Energy-Efficient Algorithm for Consensus Optimization. - Xianghui Mao; Yuantao Gu; Wotao Yin (IEEE Internet Things J., 2019)

Smoothed sparse recovery via locally competitive algorithm and forward Euler discretization method. - Qi Liu 005; Yuantao Gu; Hing-Cheung So (Signal Process., 2019)

DOA Estimation in Impulsive Noise via Low-Rank Matrix Approximation and Weakly Convex Optimization. - Qi Liu 005; Yuantao Gu; Hing Cheung So (IEEE Trans. Aerosp. Electron. Syst., 2019)

Kernel Kalman Filtering With Conditional Embedding and Maximum Correntropy Criterion. - Lujuan Dang; Badong Chen; Shiyuan Wang; Yuantao Gu; José C. Príncipe (IEEE Trans. Circuits Syst. I Regul. Pap., 2019)

Weakly Convex Regularized Robust Sparse Recovery Methods With Theoretical Guarantees. - Chengzhu Yang; Xinyue Shen 002; Hongbing Ma; Badong Chen; Yuantao Gu; Hing Cheung So (IEEE Trans. Signal Process., 2019)

Efficient Channel Estimation for mmWave MIMO With Transceiver Hardware Impairments. - Yue Wu 005; Yuantao Gu; Zhaocheng Wang 001 (IEEE Trans. Veh. Technol., 2019)

Distributed Non-Orthogonal Pilot Design for Multi-Cell Massive Mimo Systems. - Yue Wu 005; Shaodan Med; Yuantao Gu (ICASSP, 2020)

An Easy-to-Implement Framework of Fast Subspace Clustering For Big Data Sets. - Linghang Meng; Yuchen Jiao; Yuantao Gu (ICASSP, 2020)

Principal Angle Detector for Subspace Signal with Structured Unknown Interference. - Xingyu Xu 001; Yuchen Jiao; Yuantao Gu (ICASSP, 2020)

Hyperspectral Image Clustering based on Variational Expectation Maximization. - Yuchen Jiao; Yirong Ma; Yuantao Gu (SAM, 2020)

Breaking the Sample Size Barrier in Model-Based Reinforcement Learning with a Generative Model. - Gen Li 005; Yuting Wei 001; Yuejie Chi; Yuantao Gu; Yuxin Chen 002 (NeurIPS, 2020)

The Efficacy of L1s Regularization in Two-Layer Neural Networks. - Gen Li 005; Yuantao Gu; Jie Ding 002 (CoRR, 2020)

A Unified Framework of Non-Orthogonal Pilot Design for Multi-Cell Massive MIMO Systems. - Yue Wu 005; Shaodan Ma; Yuantao Gu (IEEE Trans. Commun., 2020)

Probability Density Rank-Based Quantization for Convex Universal Learning Machines. - Zhengda Qin; Badong Chen; Yuantao Gu; Nanning Zheng 001; José C. Príncipe (IEEE Trans. Neural Networks Learn. Syst., 2020)

Lower Bound for RIP Constants and Concentration of Sum of Top Order Statistics. - Gen Li 005; Xingyu Xu 001; Yuantao Gu (IEEE Trans. Signal Process., 2020)

Walkman: A Communication-Efficient Random-Walk Algorithm for Decentralized Optimization. - Xianghui Mao; Kun Yuan 001; Yubin Hu 001; Yuantao Gu; Ali H. Sayed; Wotao Yin (IEEE Trans. Signal Process., 2020)

Fixed-Point Minimum Error Entropy With Fiducial Points. - Yuqing Xie 002; Yingsong Li 001; Yuantao Gu; Jiuwen Cao; Badong Chen (IEEE Trans. Signal Process., 2020)

Unraveling the Veil of Subspace RIP Through Near-Isometry on Subspaces. - Xingyu Xu 001; Gen Li 005; Yuantao Gu (IEEE Trans. Signal Process., 2020)

Learning Proximal Operator Methods for Nonconvex Sparse Recovery with Theoretical Guarantee. - Chengzhu Yang; Yuantao Gu; Badong Chen; Hongbing Ma; Hing Cheung So (IEEE Trans. Signal Process., 2020)

Softmax Policy Gradient Methods Can Take Exponential Time to Converge. - Gen Li 005; Yuting Wei 001; Yuejie Chi; Yuantao Gu; Yuxin Chen 002 (COLT, 2021)

Dimensionality-reduced Secure Outlier Detection on Union of Subspaces. - Kunzan Liu; Yuchen Jiao; Ye Jin; Xu Xiang; Yuantao Gu (CSP, 2021)

Tightening the Dependence on Horizon in the Sample Complexity of Q-Learning. - Gen Li 005; Changxiao Cai; Yuxin Chen 002; Yuantao Gu; Yuting Wei 001; Yuejie Chi (ICML, 2021)

Theory of Spectral Method for Union of Subspaces-Based Random Geometry Graph. - Gen Li 005; Yuantao Gu (ICML, 2021)

Sample-Efficient Reinforcement Learning Is Feasible for Linearly Realizable MDPs with Limited Revisiting. - Gen Li 005; Yuxin Chen 002; Yuejie Chi; Yuantao Gu; Yuting Wei 001 (NeurIPS, 2021)

Breaking the Sample Complexity Barrier to Regret-Optimal Model-Free Reinforcement Learning. - Gen Li 005; Laixi Shi; Yuxin Chen 002; Yuantao Gu; Yuejie Chi (NeurIPS, 2021)

Minimax Estimation of Linear Functions of Eigenvectors in the Face of Small Eigen-Gaps. - Gen Li 005; Changxiao Cai; Yuantao Gu; H. Vincent Poor; Yuxin Chen 002 (CoRR, 2021)

The Rate of Convergence of Variation-Constrained Deep Neural Networks. - Gen Li 005; Yuantao Gu; Jie Ding 002 (CoRR, 2021)

Request-Response and Censoring-Based Energy-Efficient Decentralized Change-Point Detection With IoT Applications. - Yuantao Gu; Yuchen Jiao; Xingyu Xu 001; Quan Yu (IEEE Internet Things J., 2021)

2-D Learned Proximal Gradient Algorithm for Fast Sparse Matrix Recovery. - Chengzhu Yang; Yuantao Gu; Badong Chen; Hongbing Ma; Hing Cheung So (IEEE Trans. Circuits Syst. II Express Briefs, 2021)

Correntropy-Based Multiview Subspace Clustering. - Lei Xing 003; Badong Chen; Shaoyi Du; Yuantao Gu; Nanning Zheng 001 (IEEE Trans. Cybern., 2021)

Minimum Error Entropy Kalman Filter. - Badong Chen; Lujuan Dang; Yuantao Gu; Nanning Zheng 001; José C. Príncipe (IEEE Trans. Syst. Man Cybern. Syst., 2021)

Multi-Agent Reinforcement Learning with Reward Delays. - Yuyang Zhang; Runyu Zhang 001; Gen Li 005; Yuantao Gu; Na Li 002 (CoRR, 2022)

Communication-Efficient Decentralized Subspace Estimation. - Yuchen Jiao; Yuantao Gu (IEEE J. Sel. Top. Signal Process., 2022)

$ ell _1$ Regularization in Two-Layer Neural Networks. - Gen Li 005; Yuantao Gu; Jie Ding 002 (IEEE Signal Process. Lett., 2022)

A General Framework for Accurate and Private Mean Estimation. - Zhouhao Yang; Xingyu Xu 001; Yuantao Gu (IEEE Signal Process. Lett., 2022)

Sample Complexity of Asynchronous Q-Learning: Sharper Analysis and Variance Reduction. - Gen Li 005; Yuting Wei 001; Yuejie Chi; Yuantao Gu; Yuxin Chen 002 (IEEE Trans. Inf. Theory, 2022)

Quantization for Communication-Efficient Change-Point Detection Over Networks. - Yuchen Jiao; Xingyu Xu 001; Yuantao Gu (IEEE Trans. Signal Process., 2022)

Oblivious near-optimal sampling for multidimensional signals with Fourier constraints. - Xingyu Xu 001; Yuantao Gu (AISTATS, 2023)

Benign overfitting of non-smooth neural networks beyond lazy training. - Xingyu Xu 001; Yuantao Gu (AISTATS, 2023)

Incremental Aggregated Riemannian Gradient Method for Distributed PCA. - Xiaolu Wang; Yuchen Jiao; Hoi-To Wai; Yuantao Gu (AISTATS, 2023)

Linear Speedup of Incremental Aggregated Gradient Methods on Streaming Data. - Xiaolu Wang; Cheng Jin; Hoi-To Wai; Yuantao Gu (CDC, 2023)

Unlocking the Potential of Deep Learning in Peak-Hour Series Forecasting. - Zhenwei Zhang; Xin Wang; Jingyuan Xie; Heling Zhang; Yuantao Gu (CIKM, 2023)

MelMAE-VC: Extending Masked Autoencoders to Voice Conversion. - Yuhao Wang; Yuantao Gu (ICONIP (11), 2023)

Multi-Agent Reinforcement Learning with Reward Delays. - Yuyang Zhang; Runyu Zhang 001; Yuantao Gu; Na Li 002 (L4DC, 2023)

Bridge the Performance Gap in Peak-hour Series Forecasting: The Seq2Peak Framework. - Zhenwei Zhang; Xin Wang; Jingyuan Xie; Heling Zhang; Yuantao Gu (CoRR, 2023)

SageFormer: Series-Aware Graph-Enhanced Transformers for Multivariate Time Series Forecasting. - Zhenwei Zhang; Xin Wang; Yuantao Gu (CoRR, 2023)

MSCA: An Unsupervised Anomaly Detection System for Network Security in Backbone Network. - Yating Liu; Yuantao Gu; Xinyue Shen 002; Qingmin Liao; Quan Yu (IEEE Trans. Netw. Sci. Eng., 2023)

EPA: Neural Collapse Inspired Robust Out-of-distribution Detector. - Jiawei Zhang; Yufan Chen; Cheng Jin; Lei Zhu; Yuantao Gu (ICASSP, 2024)

Unravel Anomalies: an End-to-End Seasonal-Trend Decomposition Approach for Time Series Anomaly Detection. - Zhenwei Zhang; Ruiqi Wang; Ran Ding; Yuantao Gu (ICASSP, 2024)

Unleashing the Denoising Capability of Diffusion Prior for Solving Inverse Problems. - Jiawei Zhang; Jiaxin Zhuang; Cheng Jin; Gen Li; Yuantao Gu (NeurIPS, 2024)

Sub-6GHz Aided Hybrid Beamforming for mmWave System. - Hongyao Li; Bo Lin; Feifei Gao; Yuantao Gu; Jianxiang Xi (WCNC, 2024)

See it, Think it, Sorted: Large Multimodal Models are Few-shot Time Series Anomaly Analyzers. - Jiaxin Zhuang; Leon Yan; Zhenwei Zhang; Ruiqi Wang; Jiawei Zhang; Yuantao Gu (CoRR, 2024)

SAR Image Compression With Inherent Denoising Capability Through Knowledge Distillation. - Ziyuan Liu; Shaoping Wang; Yuantao Gu (IEEE Geosci. Remote. Sens. Lett., 2024)

DSRKD: Joint Despecking and Super-Resolution of SAR Images via Knowledge Distillation. - Ziyuan Liu; Shaoping Wang; Ying Li; Yuantao Gu; Quan Yu (IEEE Trans. Geosci. Remote. Sens., 2024)

Boosting Open-Set RF Signal Recognition Under Low SNR Condition in Feature Space. - Yufan Chen; Lei Zhu 007; Cheng Jin; Jiawei Zhang; Changhua Yao; Yuantao Gu (IEEE Commun. Lett., 2024)

An Extreme Value Theory-Based Approach for Reliable Drone RF Signal Identification. - Yufan Chen; Lei Zhu 007; Yuchen Jiao; Changhua Yao; Kaixin Cheng; Yuantao Gu (IEEE Trans. Cogn. Commun. Netw., 2024)

SageFormer: Series-Aware Framework for Long-Term Multivariate Time-Series Forecasting. - Zhenwei Zhang; Linghang Meng; Yuantao Gu (IEEE Internet Things J., 2024)

Counterfactual Threshold Learning for Drone RF Signal Classification Under Interference Conditions. - Yufan Chen; Lei Zhu 007; Jiawei Zhang; Kaixin Cheng; Lu Yu 008; Yuantao Gu (IEEE Wirel. Commun. Lett., 2024)

Adversarial Samples Detection Based on Feature Attribution and Contrast in Modulation Recognition. - Wenyu Wang; Lei Zhu 007; Yuantao Gu; Yufan Chen; Xingyu Zhou 002; Lu Yu 008 (IEEE Commun. Lett., 2024)

Path Signatures are Unsupervised Time Series Anomaly Extractors. - Ruiqi Wang; Zhenwei Zhang; Yuantao Gu (ICASSP, 2025)

Adaptive Polyak Step-Size for Momentum Accelerated Stochastic Gradient Descent With General Convergence Guarantee. - Jiawei Zhang; Cheng Jin; Yuantao Gu (IEEE Trans. Signal Process., 2025)

Efficient Change-Point Detection Over Fully Decentralized Wireless Networks With Low Communication Rate. - Yuchen Jiao; Linghang Meng; Ying Li; Quan Yu; Yuantao Gu (IEEE Trans. Veh. Technol., 2025)

JL1-CD: A New Benchmark for Remote Sensing Change Detection and a Robust Multi-Teacher Knowledge Distillation Framework. - Ziyuan Liu; Ruifei Zhu; Long Gao; Yuanxiu Zhou; Jingyu Ma; Yuantao Gu (CoRR, 2025)

Improving Diffusion-based Inverse Algorithms under Few-Step Constraint via Learnable Linear Extrapolation. - Jiawei Zhang; Ziyuan Liu; Leon Yan; Gen Li; Yuantao Gu (CoRR, 2025)

M2CD: A Unified MultiModal Framework for Optical-SAR Change Detection with Mixture of Experts and Self-Distillation. - Ziyuan Liu; Jiawei Zhang; Wenyu Wang; Yuantao Gu (CoRR, 2025)

Deep Learning-Based Channel Extrapolation for 5G Advanced Massive MIMO: Hardware Prototype and Experimental Evaluation. - Hongyao Li; Mingjin Wang; Runyu Han; Ning Wang 004; Huihui Wu; Yuantao Gu; Wanmai Yuan; Feifei Gao (IEEE Trans. Wirel. Commun., 2025)

Angle Domain Guidance: Latent Diffusion Requires Rotation Rather Than Extrapolation. - Cheng Jin; Zhenyu Xiao; Chutao Liu; Yuantao Gu (CoRR, 2025)