Yuantao Gu - RankMe

244 papers A* 12A 4B 5C 1Misc 36Journal 149Unranked 37

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	A-FloPS: Accelerating Diffusion Models via Adaptive Flow Path Sampler. AAAI Cheng Jin, Zhenyu Xiao, Yuantao Gu
2026	J	`jnl`	Boundary-Aware Margin Shaping for Joint Open-Set Modulation Recognition and Adversarial Robustness. IEEE Wirel. Commun. Lett. Wenyu Wang, Ouqiao Ma, Ziyuan Liu, Yufan Chen, Lei Zhu, Yuantao Gu
2026	A*	`conf`	FishFlow: A LLM-Empowered Dynamic Pricing Framework for Online Fleamarket Platform. WWW Kakam Chong, Xu Yan, Shuai Xiao, Ming Chen, Chen Ju, Fei Huang, Yuantao Gu, Shuguang Han, Jufeng Chen
2026	J	`jnl`	MMTS-BENCH: A Comprehensive Benchmark for Time Series Understanding and Reasoning. CoRR Yao Yin, Zhenyu Xiao, Musheng Li, Yiwen Liu, Sutong Nan, Yiting He, Ruiqi Wang, Zhenwei Zhang, Qingmin Liao, Yuantao Gu
2026	J	`jnl`	S3AT: Self-Paced, Self-Distilled, and Self-Finetuned Adversarial Training for Robust Automatic Modulation Recognition. IEEE Trans. Cogn. Commun. Netw. Wenyu Wang, Lei Zhu, Ziyuan Liu, Jiawei Zhang, Yufan Chen, Yuantao Gu
2025	J	`jnl`	A Novel Multibranch Self-Distillation Framework for Optimizing Remote Sensing Change Detection. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. Ziyuan Liu, Jiawei Zhang, Wenyu Wang, Yuantao Gu
2025	J	`jnl`	A-FloPS: Accelerating Diffusion Sampling with Adaptive Flow Path Sampler. CoRR Cheng Jin, Zhenyu Xiao, Yuantao Gu
2025	J	`jnl`	Adaptive Polyak Step-Size for Momentum Accelerated Stochastic Gradient Descent With General Convergence Guarantee. IEEE Trans. Signal Process. Jiawei Zhang, Cheng Jin, Yuantao Gu
2025	A*	`conf`	Angle Domain Guidance: Latent Diffusion Requires Rotation Rather Than Extrapolation. ICML Cheng Jin, Zhenyu Xiao, Chutao Liu, Yuantao Gu
2025	J	`jnl`	Angle Domain Guidance: Latent Diffusion Requires Rotation Rather Than Extrapolation. CoRR Cheng Jin, Zhenyu Xiao, Chutao Liu, Yuantao Gu
2025	J	`jnl`	Decentralized Rank-Adaptive Matrix Factorization - Part I: Algorithm Development. IEEE Trans. Signal Process. Yuchen Jiao, Yuantao Gu, Tsung-Hui Chang, Zhi-Quan Luo
2025	J	`jnl`	Decentralized Rank-Adaptive Matrix Factorization - Part II: Convergence Analysis. IEEE Trans. Signal Process. Yuchen Jiao, Yuantao Gu, Tsung-Hui Chang, Zhi-Quan Luo
2025	J	`jnl`	Deep Learning-Based Channel Extrapolation for 5G Advanced Massive MIMO: Hardware Prototype and Experimental Evaluation. IEEE Trans. Wirel. Commun. Hongyao Li, Mingjin Wang, Runyu Han, Ning Wang, Huihui Wu, Yuantao Gu, Wanmai Yuan, Feifei Gao
2025	J	`jnl`	Efficient Change-Point Detection Over Fully Decentralized Wireless Networks With Low Communication Rate. IEEE Trans. Veh. Technol. Yuchen Jiao, Linghang Meng, Ying Li, Quan Yu, Yuantao Gu
2025	J	`jnl`	Improving Diffusion-based Inverse Algorithms under Few-Step Constraint via Learnable Linear Extrapolation. CoRR Jiawei Zhang, Ziyuan Liu, Leon Yan, Gen Li, Yuantao Gu
2025	J	`jnl`	JL1-CD: A New Benchmark for Remote Sensing Change Detection and a Robust Multi-Teacher Knowledge Distillation Framework. CoRR Ziyuan Liu, Ruifei Zhu, Long Gao, Yuanxiu Zhou, Jingyu Ma, Yuantao Gu
2025	J	`jnl`	M CoRR Ziyuan Liu, Jiawei Zhang, Wenyu Wang, Yuantao Gu
2025	J	`jnl`	M IEEE Geosci. Remote. Sens. Lett. Ziyuan Liu, Jiawei Zhang, Wenyu Wang, Yuantao Gu
2025	A*	`conf`	Open-CD: A Comprehensive Toolbox for Change Detection. ACM Multimedia Kaiyu Li, Jiawei Jiang, Chengxi Han, Yupeng Deng, Keyan Chen, Zhuo Zheng, Hao Chen, Ziyuan Liu, Yuantao Gu, Zhengxia Zou, Zhenwei Shi, Sheng Fang, Deyu Meng, Zhi Wang, Xiangyong Cao
2025	Misc	`conf`	Path Signatures are Unsupervised Time Series Anomaly Extractors. ICASSP Ruiqi Wang, Zhenwei Zhang, Yuantao Gu
2025	J	`jnl`	ReTrack: Data Unlearning in Diffusion Models through Redirecting the Denoising Trajectory. CoRR Qitan Shi, Cheng Jin, Jiawei Zhang, Yuantao Gu
2025	J	`jnl`	Stage-wise Dynamics of Classifier-Free Guidance in Diffusion Models. CoRR Cheng Jin, Qitan Shi, Yuantao Gu
2024	J	`jnl`	Adversarial Samples Detection Based on Feature Attribution and Contrast in Modulation Recognition. IEEE Commun. Lett. Wenyu Wang, Lei Zhu, Yuantao Gu, Yufan Chen, Xingyu Zhou, Lu Yu
2024	J	`jnl`	An Extreme Value Theory-Based Approach for Reliable Drone RF Signal Identification. IEEE Trans. Cogn. Commun. Netw. Yufan Chen, Lei Zhu, Yuchen Jiao, Changhua Yao, Kaixin Cheng, Yuantao Gu
2024	J	`jnl`	Boosting Open-Set RF Signal Recognition Under Low SNR Condition in Feature Space. IEEE Commun. Lett. Yufan Chen, Lei Zhu, Cheng Jin, Jiawei Zhang, Changhua Yao, Yuantao Gu
2024	J	`jnl`	Counterfactual Threshold Learning for Drone RF Signal Classification Under Interference Conditions. IEEE Wirel. Commun. Lett. Yufan Chen, Lei Zhu, Jiawei Zhang, Kaixin Cheng, Lu Yu, Yuantao Gu
2024	J	`jnl`	DSRKD: Joint Despecking and Super-Resolution of SAR Images via Knowledge Distillation. IEEE Trans. Geosci. Remote. Sens. Ziyuan Liu, Shaoping Wang, Ying Li, Yuantao Gu, Quan Yu
2024	J	`jnl`	EPA: Neural Collapse Inspired Robust Out-of-Distribution Detector. CoRR Jiawei Zhang, Yufan Chen, Cheng Jin, Lei Zhu, Yuantao Gu
2024	Misc	`conf`	EPA: Neural Collapse Inspired Robust Out-of-distribution Detector. ICASSP Jiawei Zhang, Yufan Chen, Cheng Jin, Lei Zhu, Yuantao Gu
2024	J	`jnl`	SAR Image Compression With Inherent Denoising Capability Through Knowledge Distillation. IEEE Geosci. Remote. Sens. Lett. Ziyuan Liu, Shaoping Wang, Yuantao Gu
2024	J	`jnl`	SageFormer: Series-Aware Framework for Long-Term Multivariate Time-Series Forecasting. IEEE Internet Things J. Zhenwei Zhang, Linghang Meng, Yuantao Gu
2024	J	`jnl`	See it, Think it, Sorted: Large Multimodal Models are Few-shot Time Series Anomaly Analyzers. CoRR Jiaxin Zhuang, Leon Yan, Zhenwei Zhang, Ruiqi Wang, Jiawei Zhang, Yuantao Gu
2024	B	`conf`	Sub-6GHz Aided Hybrid Beamforming for mmWave System. WCNC Hongyao Li, Bo Lin, Feifei Gao, Yuantao Gu, Jianxiang Xi
2024	A*	`conf`	Unleashing the Denoising Capability of Diffusion Prior for Solving Inverse Problems. NeurIPS Jiawei Zhang, Jiaxin Zhuang, Cheng Jin, Gen Li, Yuantao Gu
2024	J	`jnl`	Unleashing the Denoising Capability of Diffusion Prior for Solving Inverse Problems. CoRR Jiawei Zhang, Jiaxin Zhuang, Cheng Jin, Gen Li, Yuantao Gu
2024	Misc	`conf`	Unravel Anomalies: an End-to-End Seasonal-Trend Decomposition Approach for Time Series Anomaly Detection. ICASSP Zhenwei Zhang, Ruiqi Wang, Ran Ding, Yuantao Gu
2023	A	`conf`	Benign overfitting of non-smooth neural networks beyond lazy training. AISTATS Xingyu Xu, Yuantao Gu
2023	J	`jnl`	Bridge the Performance Gap in Peak-hour Series Forecasting: The Seq2Peak Framework. CoRR Zhenwei Zhang, Xin Wang, Jingyuan Xie, Heling Zhang, Yuantao Gu
2023	A	`conf`	Incremental Aggregated Riemannian Gradient Method for Distributed PCA. AISTATS Xiaolu Wang, Yuchen Jiao, Hoi-To Wai, Yuantao Gu
2023	—	`conf`	Linear Speedup of Incremental Aggregated Gradient Methods on Streaming Data. CDC Xiaolu Wang, Cheng Jin, Hoi-To Wai, Yuantao Gu
2023	J	`jnl`	Linear Speedup of Incremental Aggregated Gradient Methods on Streaming Data. CoRR Xiaolu Wang, Cheng Jin, Hoi-To Wai, Yuantao Gu
2023	J	`jnl`	MSCA: An Unsupervised Anomaly Detection System for Network Security in Backbone Network. IEEE Trans. Netw. Sci. Eng. Yating Liu, Yuantao Gu, Xinyue Shen, Qingmin Liao, Quan Yu
2023	—	`conf`	MelMAE-VC: Extending Masked Autoencoders to Voice Conversion. ICONIP (11) Yuhao Wang, Yuantao Gu
2023	—	`conf`	Multi-Agent Reinforcement Learning with Reward Delays. L4DC Yuyang Zhang, Runyu Zhang, Yuantao Gu, Na Li
2023	A	`conf`	Oblivious near-optimal sampling for multidimensional signals with Fourier constraints. AISTATS Xingyu Xu, Yuantao Gu
2023	J	`jnl`	SageFormer: Series-Aware Graph-Enhanced Transformers for Multivariate Time Series Forecasting. CoRR Zhenwei Zhang, Xin Wang, Yuantao Gu
2023	A	`conf`	Unlocking the Potential of Deep Learning in Peak-Hour Series Forecasting. CIKM Zhenwei Zhang, Xin Wang, Jingyuan Xie, Heling Zhang, Yuantao Gu
2023	J	`jnl`	Unravel Anomalies: An End-to-end Seasonal-Trend Decomposition Approach for Time Series Anomaly Detection. CoRR Zhenwei Zhang, Ruiqi Wang, Ran Ding, Yuantao Gu
2022	J	`jnl`	$\ell _1$ Regularization in Two-Layer Neural Networks. IEEE Signal Process. Lett. Gen Li, Yuantao Gu, Jie Ding
2022	J	`jnl`	A General Framework for Accurate and Private Mean Estimation. IEEE Signal Process. Lett. Zhouhao Yang, Xingyu Xu, Yuantao Gu
2022	J	`jnl`	Communication-Efficient Decentralized Subspace Estimation. IEEE J. Sel. Top. Signal Process. Yuchen Jiao, Yuantao Gu
2022	J	`jnl`	Multi-Agent Reinforcement Learning with Reward Delays. CoRR Yuyang Zhang, Runyu Zhang, Gen Li, Yuantao Gu, Na Li
2022	J	`jnl`	Quantization for Communication-Efficient Change-Point Detection Over Networks. IEEE Trans. Signal Process. Yuchen Jiao, Xingyu Xu, Yuantao Gu
2022	J	`jnl`	Sample Complexity of Asynchronous Q-Learning: Sharper Analysis and Variance Reduction. IEEE Trans. Inf. Theory Gen Li, Yuting Wei, Yuejie Chi, Yuantao Gu, Yuxin Chen
2021	J	`jnl`	2-D Learned Proximal Gradient Algorithm for Fast Sparse Matrix Recovery. IEEE Trans. Circuits Syst. II Express Briefs Chengzhu Yang, Yuantao Gu, Badong Chen, Hongbing Ma, Hing Cheung So
2021	A*	`conf`	Breaking the Sample Complexity Barrier to Regret-Optimal Model-Free Reinforcement Learning. NeurIPS Gen Li, Laixi Shi, Yuxin Chen, Yuantao Gu, Yuejie Chi
2021	J	`jnl`	Breaking the Sample Complexity Barrier to Regret-Optimal Model-Free Reinforcement Learning. CoRR Gen Li, Laixi Shi, Yuxin Chen, Yuantao Gu, Yuejie Chi
2021	J	`jnl`	Correntropy-Based Multiview Subspace Clustering. IEEE Trans. Cybern. Lei Xing, Badong Chen, Shaoyi Du, Yuantao Gu, Nanning Zheng
2021	—	`conf`	Dimensionality-reduced Secure Outlier Detection on Union of Subspaces. CSP Kunzan Liu, Yuchen Jiao, Ye Jin, Xu Xiang, Yuantao Gu
2021	J	`jnl`	Minimax Estimation of Linear Functions of Eigenvectors in the Face of Small Eigen-Gaps. CoRR Gen Li, Changxiao Cai, Yuantao Gu, H. Vincent Poor, Yuxin Chen
2021	J	`jnl`	Minimum Error Entropy Kalman Filter. IEEE Trans. Syst. Man Cybern. Syst. Badong Chen, Lujuan Dang, Yuantao Gu, Nanning Zheng, José C. Príncipe
2021	J	`jnl`	Request-Response and Censoring-Based Energy-Efficient Decentralized Change-Point Detection With IoT Applications. IEEE Internet Things J. Yuantao Gu, Yuchen Jiao, Xingyu Xu, Quan Yu
2021	A*	`conf`	Sample-Efficient Reinforcement Learning Is Feasible for Linearly Realizable MDPs with Limited Revisiting. NeurIPS Gen Li, Yuxin Chen, Yuejie Chi, Yuantao Gu, Yuting Wei
2021	J	`jnl`	Sample-Efficient Reinforcement Learning Is Feasible for Linearly Realizable MDPs with Limited Revisiting. CoRR Gen Li, Yuxin Chen, Yuejie Chi, Yuantao Gu, Yuting Wei
2021	A*	`conf`	Softmax Policy Gradient Methods Can Take Exponential Time to Converge. COLT Gen Li, Yuting Wei, Yuejie Chi, Yuantao Gu, Yuxin Chen
2021	J	`jnl`	Softmax Policy Gradient Methods Can Take Exponential Time to Converge. CoRR Gen Li, Yuting Wei, Yuejie Chi, Yuantao Gu, Yuxin Chen
2021	J	`jnl`	The Rate of Convergence of Variation-Constrained Deep Neural Networks. CoRR Gen Li, Yuantao Gu, Jie Ding
2021	A*	`conf`	Theory of Spectral Method for Union of Subspaces-Based Random Geometry Graph. ICML Gen Li, Yuantao Gu
2021	A*	`conf`	Tightening the Dependence on Horizon in the Sample Complexity of Q-Learning. ICML Gen Li, Changxiao Cai, Yuxin Chen, Yuantao Gu, Yuting Wei, Yuejie Chi
2021	J	`jnl`	Tightening the Dependence on Horizon in the Sample Complexity of Q-Learning. CoRR Gen Li, Changxiao Cai, Yuxin Chen, Yuantao Gu, Yuting Wei, Yuejie Chi
2020	J	`jnl`	A Unified Framework of Non-Orthogonal Pilot Design for Multi-Cell Massive MIMO Systems. IEEE Trans. Commun. Yue Wu, Shaodan Ma, Yuantao Gu
2020	Misc	`conf`	An Easy-to-Implement Framework of Fast Subspace Clustering For Big Data Sets. ICASSP Linghang Meng, Yuchen Jiao, Yuantao Gu
2020	A*	`conf`	Breaking the Sample Size Barrier in Model-Based Reinforcement Learning with a Generative Model. NeurIPS Gen Li, Yuting Wei, Yuejie Chi, Yuantao Gu, Yuxin Chen
2020	J	`jnl`	Breaking the Sample Size Barrier in Model-Based Reinforcement Learning with a Generative Model. CoRR Gen Li, Yuting Wei, Yuejie Chi, Yuantao Gu, Yuxin Chen
2020	Misc	`conf`	Distributed Non-Orthogonal Pilot Design for Multi-Cell Massive Mimo Systems. ICASSP Yue Wu, Shaodan Med, Yuantao Gu
2020	J	`jnl`	Fixed-Point Minimum Error Entropy With Fiducial Points. IEEE Trans. Signal Process. Yuqing Xie, Yingsong Li, Yuantao Gu, Jiuwen Cao, Badong Chen
2020	—	`conf`	Hyperspectral Image Clustering based on Variational Expectation Maximization. SAM Yuchen Jiao, Yirong Ma, Yuantao Gu
2020	J	`jnl`	Learning Proximal Operator Methods for Nonconvex Sparse Recovery with Theoretical Guarantee. IEEE Trans. Signal Process. Chengzhu Yang, Yuantao Gu, Badong Chen, Hongbing Ma, Hing Cheung So
2020	J	`jnl`	Lower Bound for RIP Constants and Concentration of Sum of Top Order Statistics. IEEE Trans. Signal Process. Gen Li, Xingyu Xu, Yuantao Gu
2020	Misc	`conf`	Principal Angle Detector for Subspace Signal with Structured Unknown Interference. ICASSP Xingyu Xu, Yuchen Jiao, Yuantao Gu
2020	J	`jnl`	Probability Density Rank-Based Quantization for Convex Universal Learning Machines. IEEE Trans. Neural Networks Learn. Syst. Zhengda Qin, Badong Chen, Yuantao Gu, Nanning Zheng, José C. Príncipe
2020	A*	`conf`	Sample Complexity of Asynchronous Q-Learning: Sharper Analysis and Variance Reduction. NeurIPS Gen Li, Yuting Wei, Yuejie Chi, Yuantao Gu, Yuxin Chen
2020	J	`jnl`	Sample Complexity of Asynchronous Q-Learning: Sharper Analysis and Variance Reduction. CoRR Gen Li, Yuting Wei, Yuejie Chi, Yuantao Gu, Yuxin Chen
2020	J	`jnl`	The Efficacy of L CoRR Gen Li, Yuantao Gu, Jie Ding
2020	J	`jnl`	Unraveling the Veil of Subspace RIP Through Near-Isometry on Subspaces. IEEE Trans. Signal Process. Xingyu Xu, Gen Li, Yuantao Gu
2020	J	`jnl`	Walkman: A Communication-Efficient Random-Walk Algorithm for Decentralized Optimization. IEEE Trans. Signal Process. Xianghui Mao, Kun Yuan, Yubin Hu, Yuantao Gu, Ali H. Sayed, Wotao Yin
2019	—	`conf`	A Block Sparsity Based Channel Estimation Technique for mmWave Massive MIMO with Beam Squint Effect. ICC Mingjin Wang, Feifei Gao, Yuantao Gu, Mark F. Flanagan
2019	Misc	`conf`	An Efficient Algorithm for Hyperspectral Image Clustering. ICASSP Yushu Pan, Yuchen Jiao, Tiejian Li, Yuantao Gu
2019	—	`conf`	Capturing the Sparsity for Massive MIMO Channel with Approximate Message Passing. CSPS Xudong Han, Shun Zhang, Anteneh Mohammed, Weile Zhang, Nan Zhao, Yuantao Gu
2019	J	`jnl`	Compressed Subspace Learning Based on Canonical Angle Preserving Property. CoRR Yuchen Jiao, Gen Li, Yuantao Gu
2019	J	`jnl`	Compressive Sensing-Based Data Aggregation Approaches for Dynamic WSNs. IEEE Commun. Lett. Xindi Wang, Qingfeng Zhou, Yuantao Gu, Jun Tong
2019	J	`jnl`	DOA Estimation in Impulsive Noise via Low-Rank Matrix Approximation and Weakly Convex Optimization. IEEE Trans. Aerosp. Electron. Syst. Qi Liu, Yuantao Gu, Hing Cheung So
2019	J	`jnl`	Efficient Channel Estimation for mmWave MIMO With Transceiver Hardware Impairments. IEEE Trans. Veh. Technol. Yue Wu, Yuantao Gu, Zhaocheng Wang
2019	Misc	`conf`	Enhanced Streaming Based Subspace Clustering Applied to Acoustic Scene Data Clustering. ICASSP Shuoyang Li, Yuantao Gu, Yuhui Luo, Jonathon A. Chambers, Wenwu Wang
2019	Misc	`conf`	Information Theoretic Lower Bound of Restricted Isometry Property Constant. ICASSP Gen Li, Jingkai Yan, Yuantao Gu
2019	J	`jnl`	Johnson-Lindenstrauss Property Implies Subspace Restricted Isometry Property. CoRR Xingyu Xu, Gen Li, Yuantao Gu
2019	J	`jnl`	Kernel Kalman Filtering With Conditional Embedding and Maximum Correntropy Criterion. IEEE Trans. Circuits Syst. I Regul. Pap. Lujuan Dang, Badong Chen, Shiyuan Wang, Yuantao Gu, José C. Príncipe
2019	J	`jnl`	Linearized ADMM for Nonconvex Nonsmooth Optimization With Convergence Analysis. IEEE Access Qinghua Liu, Xinyue Shen, Yuantao Gu
2019	J	`jnl`	Lower Bound for RIP Constants and Concentration of Sum of Top Order Statistics. CoRR Gen Li, Xingyu Xu, Yuantao Gu
2019	J	`jnl`	Minimum Error Entropy Kalman Filter. CoRR Badong Chen, Lujuan Dang, Yuantao Gu, Nanning Zheng, José C. Príncipe
2019	B	`conf`	Pilot-Free Channel Change Detection for mmWave Massive MIMO System. GLOBECOM Yue Wu, Yuchen Jiao, Feifei Gao, Yuantao Gu
2019	J	`jnl`	Smoothed sparse recovery via locally competitive algorithm and forward Euler discretization method. Signal Process. Qi Liu, Yuantao Gu, Hing-Cheung So
2019	J	`jnl`	Theory of Spectral Method for Union of Subspaces-Based Random Geometry Graph. CoRR Gen Li, Yuantao Gu
2019	J	`jnl`	Walk Proximal Gradient: An Energy-Efficient Algorithm for Consensus Optimization. IEEE Internet Things J. Xianghui Mao, Yuantao Gu, Wotao Yin
2019	J	`jnl`	Weakly Convex Regularized Robust Sparse Recovery Methods With Theoretical Guarantees. IEEE Trans. Signal Process. Chengzhu Yang, Xinyue Shen, Hongbing Ma, Badong Chen, Yuantao Gu, Hing Cheung So
2018	J	`jnl`	A Communication-Efficient Random-Walk Algorithm for Decentralized Optimization. CoRR Wotao Yin, Xianghui Mao, Kun Yuan, Yuantao Gu, Ali H. Sayed
2018	J	`jnl`	A General Framework for Understanding Compressed Subspace Clustering Algorithms. IEEE J. Sel. Top. Signal Process. Linghang Meng, Gen Li, Jingkai Yan, Yuantao Gu
2018	Misc	`conf`	A Joint Detection and Reconstruction Method for Blind Graph Signal Recovery. ICASSP Xianghui Mao, Yuantao Gu
2018	—	`conf`	A Novel Backbone Network Anomaly Detector via Clustering in Sketch Space. DSW Yating Liu, Yuantao Gu
2018	J	`jnl`	Active Orthogonal Matching Pursuit for Sparse Subspace Clustering. IEEE Signal Process. Lett. Yanxi Chen, Gen Li, Yuantao Gu
2018	J	`jnl`	An RIP-Based Performance Guarantee of Covariance-Assisted Matching Pursuit. IEEE Signal Process. Lett. Jiayang Wang, Gen Li, Lucas Rencker, Wenwu Wang, Yuantao Gu
2018	Misc	`conf`	Change-Point Detection of Gaussian Graph Signals with Partial Information. ICASSP Yanxi Chen, Xianghui Mao, Dan Ling, Yuantao Gu
2018	J	`jnl`	Channel Estimation for mmWave MIMO With Transmitter Hardware Impairments. IEEE Commun. Lett. Yue Wu, Yuantao Gu, Zhaocheng Wang
2018	Misc	`conf`	Convergence Analysis on a Fast Iterative Phase Retrieval Algorithm Without Independence Assumption. ICASSP Gen Li, Yuchen Jiao, Yuantao Gu
2018	J	`jnl`	Nonconvex Sparse Logistic Regression With Weakly Convex Regularization. IEEE Trans. Signal Process. Xinyue Shen, Yuantao Gu
2018	Misc	`conf`	Nonconvex Sparse Logistic Regression via Proximal Gradient Descent. ICASSP Xinyue Shen, Yuantao Gu
2018	B	`conf`	Outage Probability Conjecture Does Not Hold for Two-Input-Multiple-Output (TIM 0) System. ISIT Gen Li, Jingkai Yan, Yuantao Gu
2018	—	`conf`	Restricted Isometry Property for Low-Dimensional Subspaces and its Application in Compressed Subspace Clustering. DSW Gen Li, Qinghua Liu, Yuantao Gu
2018	J	`jnl`	Restricted Isometry Property of Gaussian Random Projection for Finite Set of Subspaces. IEEE Trans. Signal Process. Gen Li, Yuantao Gu
2018	J	`jnl`	Rigorous Restricted Isometry Property of Low-Dimensional Subspaces. CoRR Gen Li, Qinghua Liu, Yuantao Gu
2018	J	`jnl`	Robust sparse recovery via weakly convex optimization in impulsive noise. Signal Process. Qi Liu, Chengzhu Yang, Yuantao Gu, Hing-Cheung So
2018	J	`jnl`	Sparse Recovery Conditions and Performance Bounds for ℓ IEEE Trans. Signal Process. Chengzhu Yang, Xinyue Shen, Hongbing Ma, Yuantao Gu, Hing-Cheung So
2018	J	`jnl`	Spatio-Temporal Signal Recovery Based on Low Rank and Differential Smoothness. IEEE Trans. Signal Process. Xianghui Mao, Kai Qiu, Tiejian Li, Yuantao Gu
2018	J	`jnl`	Subspace Change-Point Detection: A New Model and Solution. IEEE J. Sel. Top. Signal Process. Yuchen Jiao, Yanxi Chen, Yuantao Gu
2018	—	`conf`	Subspace Data Visualization with Dissimilarity Based on Principal Angle. DSW Xinyue Shen, Yuchen Jiao, Yuantao Gu
2018	—	`conf`	Subspace Principal Angle Preserving Property of Gaussian Random Projection. DSW Yuchen Jiao, Xinyue Shen, Gen Li, Yuantao Gu
2017	J	`jnl`	Active Orthogonal Matching Pursuit for Sparse Subspace Clustering. CoRR Yanxi Chen, Gen Li, Yuantao Gu
2017	J	`jnl`	Cross-Label Suppression: A Discriminative and Fast Dictionary Learning With Group Regularization. IEEE Trans. Image Process. Xiudong Wang, Yuantao Gu
2017	J	`jnl`	Cross-label Suppression: A Discriminative and Fast Dictionary Learning with Group Regularization. CoRR Xiudong Wang, Yuantao Gu
2017	Misc	`conf`	Distance-preserving property of random projection for subspaces. ICASSP Gen Li, Yuantao Gu
2017	J	`jnl`	Linear Convergence of An Iterative Phase Retrieval Algorithm with Data Reuse. CoRR Gen Li, Yuchen Jiao, Yuantao Gu
2017	J	`jnl`	Linearized ADMM for Non-convex Non-smooth Optimization with Convergence Analysis. CoRR Qinghua Liu, Xinyue Shen, Yuantao Gu
2017	J	`jnl`	Nonconvex Sparse Logistic Regression with Weakly Convex Regularization. CoRR Xinyue Shen, Yuantao Gu
2017	J	`jnl`	Off-grid DOA estimation with nonconvex regularization via joint sparse representation. Signal Process. Qi Liu, Hing-Cheung So, Yuantao Gu
2017	J	`jnl`	On the Outage Probability Conjecture for MIMO Channels. CoRR Gen Li, Jingkai Yan, Yuantao Gu
2017	—	`conf`	Principal angles preserving property of Gaussian random projection for subspaces. GlobalSIP Yuchen Jiao, Gen Li, Yuantao Gu
2017	J	`jnl`	Restricted Isometry Property of Gaussian Random Projection for Finite Set of Subspaces. CoRR Gen Li, Yuantao Gu
2017	—	`conf`	Sparse subspace clustering using square-root penalty. DSP Linghang Meng, Xinyue Shen, Yuantao Gu
2017	J	`jnl`	Time-Varying Graph Signal Reconstruction. IEEE J. Sel. Top. Signal Process. Kai Qiu, Xianghui Mao, Xinyue Shen, Xiaohan Wang, Tiejian Li, Yuantao Gu
2016	Misc	`conf`	Beyond union of subspaces: Subspace pursuit on Grassmann manifold for data representation. ICASSP Xinyue Shen, Hamid Krim, Yuantao Gu
2016	J	`jnl`	Cross Validation in Compressive Sensing and its Application of OMP-CV Algorithm. CoRR Jinye Zhang, Laming Chen, Petros T. Boufounos, Yuantao Gu
2016	—	`conf`	Disciplined convex-concave programming. CDC Xinyue Shen, Steven Diamond, Yuantao Gu, Stephen P. Boyd
2016	—	`conf`	Graph-based reconstruction of time-varying spatial signals. DSP Kai Qiu, Xiaohan Wang, Tiejian Li, Yuantao Gu
2016	J	`jnl`	Local measurement and reconstruction for noisy bandlimited graph signals. Signal Process. Xiaohan Wang, Jiaxuan Chen, Yuantao Gu
2016	—	`conf`	More exercises, higher score: A case study by using online teaching assistant system. DSP Yuantao Gu, Zhaoqun Chen, Pengfei Liu, Xiaohan Wang, Yating Liu, Junli Zheng
2016	—	`conf`	Out-of-label suppression dictionary learning with cluster regularization. GlobalSIP Xiudong Wang, Yuantao Gu
2016	—	`conf`	Performance estimation of sparse signal recovery under Bernoulli random projection with oracle information. DSP Ruiyang Song, Laming Chen, Yuantao Gu
2016	J	`jnl`	Robust Transmit Beamforming for Parameter Estimation Using Distributed Sensors. IEEE Commun. Lett. Jiang Zhu, Rick S. Blum, Xiaokang Lin, Yuantao Gu
2016	J	`jnl`	Square-Root Lasso With Nonconvex Regularization: An ADMM Approach. IEEE Signal Process. Lett. Xinyue Shen, Laming Chen, Yuantao Gu, Hing-Cheung So
2015	J	`jnl`	A Distributed Tracking Algorithm for Reconstruction of Graph Signals. CoRR Xiaohan Wang, Mengdi Wang, Yuantao Gu
2015	J	`jnl`	A Distributed Tracking Algorithm for Reconstruction of Graph Signals. IEEE J. Sel. Top. Signal Process. Xiaohan Wang, Mengdi Wang, Yuantao Gu
2015	—	`conf`	Anti-sparse representation for continuous function by dual atomic norm with application in OFDM. GlobalSIP Xinyue Shen, Yuantao Gu
2015	Misc	`conf`	Averaging random projection: A fast online solution for large-scale constrained stochastic optimization. ICASSP Jialin Liu, Yuantao Gu, Mengdi Wang
2015	J	`jnl`	Block-Sparsity-Induced Adaptive Filter for Multi-Clustering System Identification. IEEE Trans. Signal Process. Shuyang Jiang, Yuantao Gu
2015	J	`jnl`	CAR: Coding-Aware Opportunistic Routing for Unicast Traffic in Wireless Mesh Networks. J. Netw. Syst. Manag. Hongquan Liu, Hongfeng Yang, Yehua Wang, Bing Wang, Yuantao Gu
2015	Misc	`conf`	Downsampling for sparse subspace clustering. ICASSP Xianghui Mao, Xiaohan Wang, Yuantao Gu
2015	Misc	`conf`	Dynamic zero-point attracting projection for time-varying sparse signal recovery. ICASSP Jiawei Zhou, Laming Chen, Yuantao Gu
2015	—	`conf`	Fast sparse recovery via non-convex optimization. GlobalSIP Laming Chen, Yuantao Gu
2015	—	`conf`	Generalized graph signal sampling and reconstruction. GlobalSIP Xiaohan Wang, Jiaxuan Chen, Yuantao Gu
2015	J	`jnl`	Local Measurement and Reconstruction for Noisy Graph Signals. CoRR Xiaohan Wang, Jiaxuan Chen, Yuantao Gu
2015	Misc	`conf`	Local and global optimality of LP minimization for sparse recovery. ICASSP Laming Chen, Yuantao Gu
2015	J	`jnl`	Local-Set-Based Graph Signal Reconstruction. IEEE Trans. Signal Process. Xiaohan Wang, Pengfei Liu, Yuantao Gu
2015	J	`jnl`	On the Null Space Constant for l CoRR Laming Chen, Yuantao Gu
2015	J	`jnl`	On the Null Space Constant for ℓ IEEE Signal Process. Lett. Laming Chen, Yuantao Gu
2015	—	`conf`	Optimizing spectral diversity for graph signal coarsening. GlobalSIP Pengfei Liu, Xiaohan Wang, Yuantao Gu
2015	J	`jnl`	Parameter Estimation From Quantized Observations in Multiplicative Noise Environments. IEEE Trans. Signal Process. Jiang Zhu, Xiaokang Lin, Rick S. Blum, Yuantao Gu
2015	—	`conf`	Phase retrieval using iterative projections: Dynamics in the large systems limit. Allerton Gen Li, Yuantao Gu, Yue M. Lu
2015	J	`jnl`	Random Multi-Constraint Projection: Stochastic Gradient Methods for Convex Optimization with Many Constraints. CoRR Mengdi Wang, Yichen Chen, Jialin Liu, Yuantao Gu
2015	J	`jnl`	Restricted Isometry Property of Subspace Projection Matrix Under Random Compression. CoRR Xinyue Shen, Yuantao Gu
2015	J	`jnl`	Restricted Isometry Property of Subspace Projection Matrix Under Random Compression. IEEE Signal Process. Lett. Xinyue Shen, Yuantao Gu
2015	J	`jnl`	Robustness of Sparse Recovery via F-Minimization: A Topological Viewpoint. IEEE Trans. Inf. Theory Jingbo Liu, Jian Jin, Yuantao Gu
2015	Misc	`conf`	Subspace projection matrix completion on Grassmann manifold. ICASSP Xinyue Shen, Yuantao Gu
2014	J	`jnl`	Block-Sparsity-Induced Adaptive Filter for Multi-Clustering System Identification. CoRR Shuyang Jiang, Yuantao Gu
2014	Misc	`conf`	Coarsening graph signal with spectral invariance. ICASSP Pengfei Liu, Xiaohan Wang, Yuantao Gu
2014	—	`conf`	Compressed subspace clustering: A case study. GlobalSIP Xianghui Mao, Yuantao Gu
2014	—	`conf`	Defense against sybil attacks in directed social networks. DSP Pengfei Liu, Xiaohan Wang, Xiangqian Che, Zhaoqun Chen, Yuantao Gu
2014	—	`conf`	Graph signal coarsening: Dimensionality reduction in irregular domain. GlobalSIP Pengfei Liu, Xiaohan Wang, Yuantao Gu
2014	—	`conf`	Iterative reconstruction of graph signal in low-frequency subspace. GlobalSIP Xiaohan Wang, Pengfei Liu, Yuantao Gu
2014	Misc	`conf`	Learning distributed jointly sparse systems by collaborative LMS. ICASSP Yuantao Gu, Mengdi Wang
2014	J	`jnl`	Local-set-based Graph Signal Reconstruction. CoRR Xiaohan Wang, Pengfei Liu, Yuantao Gu
2014	J	`jnl`	Maximum Likelihood Estimation From Sign Measurements With Sensing Matrix Perturbation. IEEE Trans. Signal Process. Jiang Zhu, Xiaohan Wang, Xiaokang Lin, Yuantao Gu
2014	Misc	`conf`	On the theoretical analysis of cross validation in compressive sensing. ICASSP Jinye Zhang, Laming Chen, Petros T. Boufounos, Yuantao Gu
2014	Misc	`conf`	Robust off-grid recovery from compressed measurements. ICASSP Xinyue Shen, Justin K. Romberg, Yuantao Gu
2014	—	`conf`	Robust recovery of low-rank matrices via non-convex optimization. DSP Laming Chen, Yuantao Gu
2014	—	`conf`	Robust sparse recovery via non-convex optimization. DSP Laming Chen, Yuantao Gu
2014	Misc	`conf`	Sparse constraint affine projection algorithm with parallel implementation and application in compressive sensing. ICASSP Dong Yin, Hing-Cheung So, Yuantao Gu
2014	J	`jnl`	The Convergence Guarantees of a Non-Convex Approach for Sparse Recovery. IEEE Trans. Signal Process. Laming Chen, Yuantao Gu
2014	Misc	`conf`	The convergence guarantees of a non-convex approach for sparse recovery using regularized least squares. ICASSP Laming Chen, Yuantao Gu
2013	J	`jnl`	A Robust Zero-point Attraction LMS Algorithm on Near Sparse System Identification CoRR Jian Jin, Qing Qu, Yuantao Gu
2013	Misc	`conf`	A greedy approach to Linear Prediction with sparse residuals. ICASSP Yuantao Gu
2013	J	`jnl`	A stochastic gradient approach on compressive sensing signal reconstruction based on adaptive filtering framework CoRR Jian Jin, Yuantao Gu, Shunliang Mei
2013	Misc	`conf`	Adaptive speech enhancement using sparse prior information. ICASSP Zhimin Xiang, Yuantao Gu
2013	Misc	`conf`	Backtracking matching pursuit with supplement set of arbitrary size. ICASSP Laming Chen, Yuantao Gu
2013	J	`jnl`	Combined power control and link selection in deviceto-device enabled cellular systems. IET Commun. Yong-sheng Cheng, Yuantao Gu, Xiaokang Lin
2013	J	`jnl`	Edge Balance Ratio: Power Law From Vertices to Edges in Directed Complex Network. IEEE J. Sel. Top. Signal Process. Xiaohan Wang, Zhaoqun Chen, Pengfei Liu, Yuantao Gu
2013	Misc	`conf`	From least squares to sparse: A non-convex approach with guarantee. ICASSP Laming Chen, Yuantao Gu
2013	J	`jnl`	Maximum Likelihood Estimation from Sign Measurements with Sensing Matrix Perturbation. CoRR Jiang Zhu, Xiaohan Wang, Yuantao Gu
2013	—	`conf`	On estimating the loss of signal-to-noise ratio in compressive sensing based systems. ChinaSIP Yaming Wang, Laming Chen, Yuantao Gu
2013	J	`jnl`	On the Performance Bound of Sparse Estimation With Sensing Matrix Perturbation. IEEE Trans. Signal Process. Yujie Tang, Laming Chen, Yuantao Gu
2013	J	`jnl`	Oracle-Order Recovery Performance of Greedy Pursuits With Replacement Against General Perturbations. IEEE Trans. Signal Process. Laming Chen, Yuantao Gu
2013	J	`jnl`	Perturbation Analysis of Orthogonal Matching Pursuit. IEEE Trans. Signal Process. Jie Ding, Laming Chen, Yuantao Gu
2013	B	`conf`	Relation between exact and robust recovery for F-minimization: A topological viewpoint. ISIT Jingbo Liu, Jian Jin, Yuantao Gu
2013	J	`jnl`	Robust zero-point attraction least mean square algorithm on near sparse system identification. IET Signal Process. Jian Jin, Qing Qu, Yuantao Gu
2013	J	`jnl`	Robustness of Sparse Recovery via $F$-minimization: A Topological Viewpoint CoRR Jingbo Liu, Jian Jin, Yuantao Gu
2013	J	`jnl`	Zero-point attracting projection algorithm for sequential compressive sensing CoRR Yang You, Jian Jin, Wei Duan, Ningning Liu, Yuantao Gu, Jian Yang
2013	J	`jnl`	l_0 Norm Constraint LMS Algorithm for Sparse System Identification CoRR Yuantao Gu, Jian Jin, Shunliang Mei
2012	J	`jnl`	Edge Balance Ratio: Power Law from Vertices to Edges in Directed Complex Network CoRR Xiaohan Wang, Zhaoqun Chen, Pengfei Liu, Yuantao Gu
2012	J	`jnl`	Efficient Recovery of Block Sparse Signals via Zero-point Attracting Projection CoRR Jingbo Liu, Jian Jin, Yuantao Gu
2012	Misc	`conf`	Efficient recovery of block sparse signals via zero-point attracting projection. ICASSP Jingbo Liu, Jian Jin, Yuantao Gu
2012	J	`jnl`	Follow Whom? Chinese Users Have Different Choice CoRR Zhaoqun Chen, Pengfei Liu, Xiaohan Wang, Yuantao Gu
2012	Misc	`conf`	Greedy pursuits: Stability of recovery performance against general perturbations. ICNC Laming Chen, Jiong Chen, Yuantao Gu
2012	J	`jnl`	Near-oracle Recovery Performance of Greedy Pursuits with Replacement against General Perturbations CoRR Laming Chen, Yuantao Gu
2012	J	`jnl`	On the Performance Bound of Sparse Estimation with Sensing Matrix Perturbation CoRR Yujie Tang, Laming Chen, Yuantao Gu
2012	J	`jnl`	Performance Analysis of $l_0$ Norm Constraint Least Mean Square Algorithm CoRR Guolong Su, Jian Jin, Yuantao Gu, Jian Wang
2012	J	`jnl`	Performance Analysis of $l_0$ Norm Constraint Least Mean Square Algorithm. IEEE Trans. Signal Process. Guolong Su, Jian Jin, Yuantao Gu, Jian Wang
2012	Misc	`conf`	Performance analysis of Orthogonal Matching Pursuit under general perturbations. ICNC Jie Ding, Laming Chen, Yuantao Gu
2012	J	`jnl`	Proof of Convergence and Performance Analysis for Sparse Recovery via Zero-Point Attracting Projection. IEEE Trans. Signal Process. Xiaohan Wang, Yuantao Gu, Laming Chen
2012	J	`jnl`	Proof of Convergence and Performance Analysis for Sparse Recovery via Zero-point Attracting Projection CoRR Xiaohan Wang, Yuantao Gu, Laming Chen
2012	J	`jnl`	Quantization Reference Voltage of the Modulated Wideband Converter CoRR Yaming Wang, Laming Chen, Yuantao Gu
2012	Misc	`conf`	Quantization reference voltage of the Modulated Wideband Converter. ICASSP Yaming Wang, Laming Chen, Yuantao Gu
2012	J	`jnl`	Retrieval of sparse solutions of multiple-measurement vectors via zero-point attracting projection. Signal Process. Yang You, Laming Chen, Yuantao Gu, Wei Feng, Hui Dai
2012	J	`jnl`	Retrieve Sparse Solution of Multiple-Measurement Vectors via Zero-point Attracting Projection CoRR Yang You, Laming Chen, Yuantao Gu, Wei Feng, Hui Dai
2012	Misc	`conf`	Robustness of orthogonal matching pursuit for multiple measurement vectors in noisy scenario. ICASSP Jie Ding, Laming Chen, Yuantao Gu
2012	J	`jnl`	The Convergence Guarantees of a Non-convex Approach for Sparse Recovery. CoRR Laming Chen, Yuantao Gu
2012	J	`jnl`	Zero-point attracting projection algorithm for sequential compressive sensing. IEICE Electron. Express Yang You, Jian Jin, Wei Duan, Ningning Liu, Yuantao Gu, Jian Yang
2011	—	`conf`	A New Mechanism to Incorporate Network Coding Into TCP in Multi-radio Multi-channel Wireless Mesh Networks. MSN Hongquan Liu, Jiong Chen, Yuantao Gu
2011	—	`conf`	A smart tracking-based jamming scheme for signals with periodic synchronization sequences. WCSP Yuan Chen, Fei He, Jian Yan, Xiang Chen, Yuantao Gu
2011	—	`conf`	Dual-pricing policy for controller-side strategies in demand side management. SmartGridComm Siyu Yue, Jiong Chen, Yuantao Gu, Chenye Wu, Yiyu Shi
2011	J	`jnl`	Performance Analysis of Orthogonal Matching Pursuit under General Perturbations CoRR Jie Ding, Laming Chen, Yuantao Gu
2011	J	`jnl`	Performance of Orthogonal Matching Pursuit for Multiple Measurement Vectors CoRR Jie Ding, Laming Chen, Yuantao Gu
2010	J	`jnl`	A Stochastic Gradient Approach on Compressive Sensing Signal Reconstruction Based on Adaptive Filtering Framework. IEEE J. Sel. Top. Signal Process. Jian Jin, Yuantao Gu, Shunliang Mei
2010	—	`conf`	SAUR: A Service Aided UWB Routing for Wireless Mesh Networks. ICC Siming Song, Feng Zhu, Yuantao Gu, Xin Guo, Yuxin Wei
2009	Misc	`conf`	Sparse LMS for system identification. ICASSP Yilun Chen, Yuantao Gu, Alfred O. Hero III
2009	J	`jnl`	l IEEE Signal Process. Lett. Yuantao Gu, Jian Jin, Shunliang Mei
2006	B	`conf`	Detection of Roads in SAR Images using Particle Filter. ICIP Yilun Chen, Qiong Yang, Yuantao Gu, Jian Yang
2006	—	`conf`	Novel Color-Based Target Representation for Visual Object Tracking. ICASSP (2) Yuantao Gu, Yilun Chen, Jie Wang
2006	—	`conf`	Parallel Nlms Filters with Stochastic Active Taps and Step-Sizes for Sparse System Identification. ICASSP (3) Yancheng Li, Yuantao Gu, Kun Tang
2006	J	`jnl`	Particle Filter Based Multi-Camera Integration for Face 3D-Pose Tracking. Int. J. Wavelets Multiresolution Inf. Process. Yuantao Gu, Yilun Chen, Zhengwei Jiang, Kun Tang
2004	J	`jnl`	LMS algorithm with gradient descent filter length. IEEE Signal Process. Lett. Yuantao Gu, Kun Tang, Huijuan Cui
2004	C	`conf`	Select eigenfaces for face recognition with one training sample per subject. ICARCV Jie Wang, Yuantao Gu, Konstantinos N. Plataniotis, Anastasios N. Venetsanopoulos
2004	—	`conf`	Sufficient condition for tap-length gradient adaption of LMS algorithm. ICASSP (2) Yuantao Gu, Kun Tang, Huijuan Cui
2004	J	`jnl`	Superior step-size theorem and its application - Parallel variable step-size LMS filters algorithm. Sci. China Ser. F Inf. Sci. Yuantao Gu, Kun Tang, Huijuan Cui
2003	J	`jnl`	Convergence analysis of a deficient-length LMS filter and optimal-length sequence to model exponential decay impulse response. IEEE Signal Process. Lett. Yuantao Gu, Kun Tang, Huijuan Cui, Wen Du
2003	J	`jnl`	Optimal variable step-size LMS model and algorithm with independence assumption. Sci. China Ser. F Inf. Sci. Yuantao Gu, Kun Tang, Huijuan Cui, Wen Du