Yuantao Gu

ORCID

Publication Activity (10 Years)

Years Active: 2003-2024
Publications (10 Years): 124

Top Venues

CoRR

ICASSP

IEEE Trans. Signal Process.

GlobalSIP

Publications

Yufan Chen, Lei Zhu, Jiawei Zhang, Kaixin Cheng, Lu Yu, Yuantao Gu
Counterfactual Threshold Learning for Drone RF Signal Classification Under Interference Conditions. IEEE Wirel. Commun. Lett. 13 (7) (2024)
Jiawei Zhang, Yufan Chen, Cheng Jin, Lei Zhu, Yuantao Gu
EPA: Neural Collapse Inspired Robust Out-of-distribution Detector. ICASSP (2024)
Jiawei Zhang, Jiaxin Zhuang, Cheng Jin, Gen Li, Yuantao Gu
Unleashing the Denoising Capability of Diffusion Prior for Solving Inverse Problems. CoRR (2024)
Yufan Chen, Lei Zhu, Cheng Jin, Jiawei Zhang, Changhua Yao, Yuantao Gu
Boosting Open-Set RF Signal Recognition Under Low SNR Condition in Feature Space. IEEE Commun. Lett. 28 (3) (2024)
Yufan Chen, Lei Zhu, Yuchen Jiao, Changhua Yao, Kaixin Cheng, Yuantao Gu
An Extreme Value Theory-Based Approach for Reliable Drone RF Signal Identification. IEEE Trans. Cogn. Commun. Netw. 10 (2) (2024)
Hongyao Li, Bo Lin, Feifei Gao, Yuantao Gu, Jianxiang Xi
Sub-6GHz Aided Hybrid Beamforming for mmWave System. WCNC (2024)
Zhenwei Zhang, Ruiqi Wang, Ran Ding, Yuantao Gu
Unravel Anomalies: an End-to-End Seasonal-Trend Decomposition Approach for Time Series Anomaly Detection. ICASSP (2024)
Ziyuan Liu, Shaoping Wang, Yuantao Gu
SAR Image Compression With Inherent Denoising Capability Through Knowledge Distillation. IEEE Geosci. Remote. Sens. Lett. 21 (2024)
Zhenwei Zhang, Linghang Meng, Yuantao Gu
SageFormer: Series-Aware Framework for Long-Term Multivariate Time-Series Forecasting. IEEE Internet Things J. 11 (10) (2024)
Ziyuan Liu, Shaoping Wang, Ying Li, Yuantao Gu, Quan Yu
DSRKD: Joint Despecking and Super-Resolution of SAR Images via Knowledge Distillation. IEEE Trans. Geosci. Remote. Sens. 62 (2024)
Jiawei Zhang, Yufan Chen, Cheng Jin, Lei Zhu, Yuantao Gu
EPA: Neural Collapse Inspired Robust Out-of-Distribution Detector. CoRR (2024)
Yating Liu, Yuantao Gu, Xinyue Shen, Qingmin Liao, Quan Yu
MSCA: An Unsupervised Anomaly Detection System for Network Security in Backbone Network. IEEE Trans. Netw. Sci. Eng. 10 (1) (2023)
Yuhao Wang, Yuantao Gu
MelMAE-VC: Extending Masked Autoencoders to Voice Conversion. ICONIP (11) (2023)
Xingyu Xu, Yuantao Gu
Benign overfitting of non-smooth neural networks beyond lazy training. AISTATS (2023)
Zhenwei Zhang, Xin Wang, Jingyuan Xie, Heling Zhang, Yuantao Gu
Unlocking the Potential of Deep Learning in Peak-Hour Series Forecasting. CIKM (2023)
Xiaolu Wang, Yuchen Jiao, Hoi-To Wai, Yuantao Gu
Incremental Aggregated Riemannian Gradient Method for Distributed PCA. AISTATS (2023)
Xingyu Xu, Yuantao Gu
Oblivious near-optimal sampling for multidimensional signals with Fourier constraints. AISTATS (2023)
Yuyang Zhang, Runyu Zhang, Yuantao Gu, Na Li
Multi-Agent Reinforcement Learning with Reward Delays. L4DC (2023)
Xiaolu Wang, Cheng Jin, Hoi-To Wai, Yuantao Gu
Linear Speedup of Incremental Aggregated Gradient Methods on Streaming Data. CoRR (2023)
Zhenwei Zhang, Xin Wang, Jingyuan Xie, Heling Zhang, Yuantao Gu
Bridge the Performance Gap in Peak-hour Series Forecasting: The Seq2Peak Framework. CoRR (2023)
Xiaolu Wang, Cheng Jin, Hoi-To Wai, Yuantao Gu
Linear Speedup of Incremental Aggregated Gradient Methods on Streaming Data. CDC (2023)
Zhenwei Zhang, Xin Wang, Yuantao Gu
SageFormer: Series-Aware Graph-Enhanced Transformers for Multivariate Time Series Forecasting. CoRR (2023)
Zhenwei Zhang, Ruiqi Wang, Ran Ding, Yuantao Gu
Unravel Anomalies: An End-to-end Seasonal-Trend Decomposition Approach for Time Series Anomaly Detection. CoRR (2023)
Yuchen Jiao, Yuantao Gu
Communication-Efficient Decentralized Subspace Estimation. IEEE J. Sel. Top. Signal Process. 16 (3) (2022)
Yuyang Zhang, Runyu Zhang, Gen Li, Yuantao Gu, Na Li
Multi-Agent Reinforcement Learning with Reward Delays. CoRR (2022)
Yuchen Jiao, Xingyu Xu, Yuantao Gu
Quantization for Communication-Efficient Change-Point Detection Over Networks. IEEE Trans. Signal Process. 70 (2022)
Zhouhao Yang, Xingyu Xu, Yuantao Gu
A General Framework for Accurate and Private Mean Estimation. IEEE Signal Process. Lett. 29 (2022)
Gen Li, Yuting Wei, Yuejie Chi, Yuantao Gu, Yuxin Chen
Sample Complexity of Asynchronous Q-Learning: Sharper Analysis and Variance Reduction. IEEE Trans. Inf. Theory 68 (1) (2022)
Gen Li, Yuantao Gu, Jie Ding
$\ell _1$ Regularization in Two-Layer Neural Networks. IEEE Signal Process. Lett. 29 (2022)
Gen Li, Yuting Wei, Yuejie Chi, Yuantao Gu, Yuxin Chen
Softmax Policy Gradient Methods Can Take Exponential Time to Converge. COLT (2021)
Gen Li, Changxiao Cai, Yuxin Chen, Yuantao Gu, Yuting Wei, Yuejie Chi
Tightening the Dependence on Horizon in the Sample Complexity of Q-Learning. ICML (2021)
Gen Li, Yuantao Gu
Theory of Spectral Method for Union of Subspaces-Based Random Geometry Graph. ICML (2021)
Gen Li, Changxiao Cai, Yuxin Chen, Yuantao Gu, Yuting Wei, Yuejie Chi
Tightening the Dependence on Horizon in the Sample Complexity of Q-Learning. CoRR (2021)
Gen Li, Laixi Shi, Yuxin Chen, Yuantao Gu, Yuejie Chi
Breaking the Sample Complexity Barrier to Regret-Optimal Model-Free Reinforcement Learning. CoRR (2021)
Gen Li, Changxiao Cai, Yuantao Gu, H. Vincent Poor, Yuxin Chen
Minimax Estimation of Linear Functions of Eigenvectors in the Face of Small Eigen-Gaps. CoRR (2021)
Gen Li, Yuxin Chen, Yuejie Chi, Yuantao Gu, Yuting Wei
Sample-Efficient Reinforcement Learning Is Feasible for Linearly Realizable MDPs with Limited Revisiting. CoRR (2021)
Gen Li, Yuxin Chen, Yuejie Chi, Yuantao Gu, Yuting Wei
Sample-Efficient Reinforcement Learning Is Feasible for Linearly Realizable MDPs with Limited Revisiting. NeurIPS (2021)
Kunzan Liu, Yuchen Jiao, Ye Jin, Xu Xiang, Yuantao Gu
Dimensionality-reduced Secure Outlier Detection on Union of Subspaces. CSP (2021)
Yuantao Gu, Yuchen Jiao, Xingyu Xu, Quan Yu
Request-Response and Censoring-Based Energy-Efficient Decentralized Change-Point Detection With IoT Applications. IEEE Internet Things J. 8 (8) (2021)
Lei Xing, Badong Chen, Shaoyi Du, Yuantao Gu, Nanning Zheng
Correntropy-Based Multiview Subspace Clustering. IEEE Trans. Cybern. 51 (6) (2021)
Gen Li, Yuantao Gu, Jie Ding
The Rate of Convergence of Variation-Constrained Deep Neural Networks. CoRR (2021)
Gen Li, Laixi Shi, Yuxin Chen, Yuantao Gu, Yuejie Chi
Breaking the Sample Complexity Barrier to Regret-Optimal Model-Free Reinforcement Learning. NeurIPS (2021)
Gen Li, Yuting Wei, Yuejie Chi, Yuantao Gu, Yuxin Chen
Softmax Policy Gradient Methods Can Take Exponential Time to Converge. CoRR (2021)
Badong Chen, Lujuan Dang, Yuantao Gu, Nanning Zheng, José C. Príncipe
Minimum Error Entropy Kalman Filter. IEEE Trans. Syst. Man Cybern. Syst. 51 (9) (2021)
Chengzhu Yang, Yuantao Gu, Badong Chen, Hongbing Ma, Hing Cheung So
2-D Learned Proximal Gradient Algorithm for Fast Sparse Matrix Recovery. IEEE Trans. Circuits Syst. II Express Briefs 68 (4) (2021)
Linghang Meng, Yuchen Jiao, Yuantao Gu
An Easy-to-Implement Framework of Fast Subspace Clustering For Big Data Sets. ICASSP (2020)
Gen Li, Yuting Wei, Yuejie Chi, Yuantao Gu, Yuxin Chen
Sample Complexity of Asynchronous Q-Learning: Sharper Analysis and Variance Reduction. CoRR (2020)
Gen Li, Yuantao Gu, Jie Ding
Regularization in Two-Layer Neural Networks. CoRR (2020)
Yuqing Xie, Yingsong Li, Yuantao Gu, Jiuwen Cao, Badong Chen
Fixed-Point Minimum Error Entropy With Fiducial Points. IEEE Trans. Signal Process. 68 (2020)
Yuchen Jiao, Yirong Ma, Yuantao Gu
Hyperspectral Image Clustering based on Variational Expectation Maximization. SAM (2020)
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) (2020)
Gen Li, Xingyu Xu, Yuantao Gu
Lower Bound for RIP Constants and Concentration of Sum of Top Order Statistics. IEEE Trans. Signal Process. 68 (2020)
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 (2020)
Xingyu Xu, Gen Li, Yuantao Gu
Unraveling the Veil of Subspace RIP Through Near-Isometry on Subspaces. IEEE Trans. Signal Process. 68 (2020)
Gen Li, Yuting Wei, Yuejie Chi, Yuantao Gu, Yuxin Chen
Sample Complexity of Asynchronous Q-Learning: Sharper Analysis and Variance Reduction. NeurIPS (2020)
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 (2020)
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)
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) (2020)
Xingyu Xu, Yuchen Jiao, Yuantao Gu
Principal Angle Detector for Subspace Signal with Structured Unknown Interference. ICASSP (2020)
Yue Wu, Shaodan Med, Yuantao Gu
Distributed Non-Orthogonal Pilot Design for Multi-Cell Massive Mimo Systems. ICASSP (2020)
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 (2020)
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)
Yushu Pan, Yuchen Jiao, Tiejian Li, Yuantao Gu
An Efficient Algorithm for Hyperspectral Image Clustering. ICASSP (2019)
Badong Chen, Lujuan Dang, Yuantao Gu, Nanning Zheng, José C. Príncipe
Minimum Error Entropy Kalman Filter. CoRR (2019)
Xingyu Xu, Gen Li, Yuantao Gu
Johnson-Lindenstrauss Property Implies Subspace Restricted Isometry Property. CoRR (2019)
Yuchen Jiao, Gen Li, Yuantao Gu
Compressed Subspace Learning Based on Canonical Angle Preserving Property. CoRR (2019)
Gen Li, Xingyu Xu, Yuantao Gu
Lower Bound for RIP Constants and Concentration of Sum of Top Order Statistics. CoRR (2019)
Xindi Wang, Qingfeng Zhou, Yuantao Gu, Jun Tong
Compressive Sensing-Based Data Aggregation Approaches for Dynamic WSNs. IEEE Commun. Lett. 23 (6) (2019)
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. (11) (2019)
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) (2019)
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) (2019)
Qinghua Liu, Xinyue Shen, Yuantao Gu
Linearized ADMM for Nonconvex Nonsmooth Optimization With Convergence Analysis. IEEE Access 7 (2019)
Qi Liu, Yuantao Gu, Hing-Cheung So
Smoothed sparse recovery via locally competitive algorithm and forward Euler discretization method. Signal Process. 157 (2019)
Shuoyang Li, Yuantao Gu, Yuhui Luo, Jonathon A. Chambers, Wenwu Wang
Enhanced Streaming Based Subspace Clustering Applied to Acoustic Scene Data Clustering. ICASSP (2019)
Gen Li, Jingkai Yan, Yuantao Gu
Information Theoretic Lower Bound of Restricted Isometry Property Constant. ICASSP (2019)
Yue Wu, Yuchen Jiao, Feifei Gao, Yuantao Gu
Pilot-Free Channel Change Detection for mmWave Massive MIMO System. GLOBECOM (2019)
Yue Wu, Yuantao Gu, Zhaocheng Wang
Efficient Channel Estimation for mmWave MIMO With Transceiver Hardware Impairments. IEEE Trans. Veh. Technol. 68 (10) (2019)
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)
Xianghui Mao, Yuantao Gu, Wotao Yin
Walk Proximal Gradient: An Energy-Efficient Algorithm for Consensus Optimization. IEEE Internet Things J. 6 (2) (2019)
Gen Li, Yuantao Gu
Theory of Spectral Method for Union of Subspaces-Based Random Geometry Graph. CoRR (2019)
Yuchen Jiao, Xinyue Shen, Gen Li, Yuantao Gu
Subspace Principal Angle Preserving Property of Gaussian Random Projection. DSW (2018)
Chengzhu Yang, Xinyue Shen, Hongbing Ma, Yuantao Gu, Hing-Cheung So
-Minimization. IEEE Trans. Signal Process. 66 (19) (2018)
Xianghui Mao, Yuantao Gu
A Joint Detection and Reconstruction Method for Blind Graph Signal Recovery. ICASSP (2018)
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) (2018)
Yating Liu, Yuantao Gu
A Novel Backbone Network Anomaly Detector via Clustering in Sketch Space. DSW (2018)
Gen Li, Yuantao Gu
Restricted Isometry Property of Gaussian Random Projection for Finite Set of Subspaces. IEEE Trans. Signal Process. 66 (7) (2018)
Gen Li, Yuchen Jiao, Yuantao Gu
Convergence Analysis on a Fast Iterative Phase Retrieval Algorithm Without Independence Assumption. ICASSP (2018)
Yanxi Chen, Gen Li, Yuantao Gu
Active Orthogonal Matching Pursuit for Sparse Subspace Clustering. IEEE Signal Process. Lett. 25 (2) (2018)
Yanxi Chen, Xianghui Mao, Dan Ling, Yuantao Gu
Change-Point Detection of Gaussian Graph Signals with Partial Information. ICASSP (2018)
Qi Liu, Chengzhu Yang, Yuantao Gu, Hing-Cheung So
Robust sparse recovery via weakly convex optimization in impulsive noise. Signal Process. 152 (2018)
Yuchen Jiao, Yanxi Chen, Yuantao Gu
Subspace Change-Point Detection: A New Model and Solution. IEEE J. Sel. Top. Signal Process. 12 (6) (2018)
Gen Li, Jingkai Yan, Yuantao Gu
Outage Probability Conjecture Does Not Hold for Two-Input-Multiple-Output (TIM 0) System. ISIT (2018)
Gen Li, Qinghua Liu, Yuantao Gu
Rigorous Restricted Isometry Property of Low-Dimensional Subspaces. CoRR (2018)
Xinyue Shen, Yuchen Jiao, Yuantao Gu
Subspace Data Visualization with Dissimilarity Based on Principal Angle. DSW (2018)
Gen Li, Qinghua Liu, Yuantao Gu
Restricted Isometry Property for Low-Dimensional Subspaces and its Application in Compressed Subspace Clustering. DSW (2018)
Yue Wu, Yuantao Gu, Zhaocheng Wang
Channel Estimation for mmWave MIMO With Transmitter Hardware Impairments. IEEE Commun. Lett. 22 (2) (2018)
Wotao Yin, Xianghui Mao, Kun Yuan, Yuantao Gu, Ali H. Sayed
A Communication-Efficient Random-Walk Algorithm for Decentralized Optimization. CoRR (2018)
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) (2018)
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) (2018)
Xinyue Shen, Yuantao Gu
Nonconvex Sparse Logistic Regression With Weakly Convex Regularization. IEEE Trans. Signal Process. 66 (12) (2018)

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Publication Activity (10 Years)

Top Topics

Top Venues

Yuantao Gu