Yatong Zhou
Orcid: 0000-0001-6593-6334
According to our database1,
Yatong Zhou
authored at least 41 papers
between 2001 and 2024.
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Bibliography
2024
PnP-UGCSuperGlue: deep learning drone image matching algorithm for visual localization.
J. Supercomput., August, 2024
Self-Attention Generative Adversarial Network Interpolating and Denoising Seismic Signals Simultaneously.
Remote. Sens., January, 2024
Multim. Tools Appl., 2024
Novel task decomposed multi-agent twin delayed deep deterministic policy gradient algorithm for multi-UAV autonomous path planning.
Knowl. Based Syst., 2024
Structured Low-Rank Tensor Completion for IoT Spatiotemporal High-Resolution Sensing Data Reconstruction.
IEEE Internet Things J., 2024
RGR-Net: Refined Graph Reasoning Network for multi-height hotspot defect detection in photovoltaic farms.
Expert Syst. Appl., 2024
2023
Multi-UAV simultaneous target assignment and path planning based on deep reinforcement learning in dynamic multiple obstacles environments.
Frontiers Neurorobotics, June, 2023
Deep reservoir calculation model and its application in the field of temperature and humidity prediction.
Appl. Intell., February, 2023
Hybrid Low-Rank and Sparsity Constraint With Hankel Structure Preservation for Simultaneous Seismic Reconstruction and Denoising.
IEEE Geosci. Remote. Sens. Lett., 2023
ClusTop: An unsupervised and integrated text clustering and topic extraction framework.
CoRR, 2023
2022
IEEE Trans. Geosci. Remote. Sens., 2022
Low-rank tensor completion based on tensor train rank with partially overlapped sub-blocks.
Signal Process., 2022
A Subspace Approach to Sparse-Sampling-Based Multi-Attribute Data Aggregation in IoT.
IEEE Internet Things J., 2022
Time series forecasting by the novel Gaussian process wavelet self-join adjacent-feedback loop reservoir model.
Expert Syst. Appl., 2022
Denoising 3D magnetic resonance images based on weighted tensor nuclear norm minimization using balanced nonlocal patch tensors.
Biomed. Signal Process. Control., 2022
2021
CloudU-Netv2: A Cloud Segmentation Method for Ground-Based Cloud Images Based on Deep Learning.
Neural Process. Lett., 2021
CloudU-Net: A Deep Convolutional Neural Network Architecture for Daytime and Nighttime Cloud Images' Segmentation.
IEEE Geosci. Remote. Sens. Lett., 2021
Recovery of Corrupted Data in Wireless Sensor Networks Using Tensor Robust Principal Component Analysis.
IEEE Commun. Lett., 2021
Improving Human Action Recognition Using Hierarchical Features And Multiple Classifier Ensembles.
Comput. J., 2021
BioData Min., 2021
2020
A Subspace Approach to Sparse Sampling Based Data Gathering in Wireless Sensor Networks.
Sensors, 2020
Environmental Monitoring in Wireless Sensor Networks using Structured Matrix Completion.
Proceedings of the IEEE Global Communications Conference, 2020
2019
Real-Time Data Recovery in Wireless Sensor Networks Using Spatiotemporal Correlation Based on Sparse Representation.
Wirel. Commun. Mob. Comput., 2019
IEEE Geosci. Remote. Sens. Lett., 2019
Compressive Multi-Attribute Data Gathering Using Hankel Matrix in Wireless Sensor Networks.
IEEE Commun. Lett., 2019
Multi-Attribute Data Recovery in Wireless Sensor Networks With Joint Sparsity and Low-Rank Constraints Based on Tensor Completion.
IEEE Access, 2019
2017
IEEE Trans. Geosci. Remote. Sens., 2017
IEEE Geosci. Remote. Sens. Lett., 2017
2015
Ground-Roll Noise Attenuation Using a Simple and Effective Approach Based on Local Band-Limited Orthogonalization.
IEEE Geosci. Remote. Sens. Lett., 2015
2014
Proceedings of the Intelligent Computing Methodologies - 10th International Conference, 2014
2010
IEEE Trans. Neural Networks, 2010
2008
Nonlinear noise reduction of chaotic time series based on multidimensional recurrent LS-SVM.
Neurocomputing, 2008
Proceedings of the Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence, 2008
2007
Scaling Kernels: A New Least Squares Support Vector Machine Kernel for Approximation.
Proceedings of the MICAI 2007: Advances in Artificial Intelligence, 2007
2006
IEICE Trans. Commun., 2006
Proceedings of the Intelligent Data Engineering and Automated Learning, 2006
Proceedings of the Neural Information Processing, 13th International Conference, 2006
Nonlinear Noise Reduction of Chaotic Time Series Based on Multi-dimensional Recurrent Least Squares Support Vector Machines.
Proceedings of the Neural Information Processing, 13th International Conference, 2006
Proceedings of the Computational Intelligence, 2006
Proceedings of the Advanced Data Mining and Applications, Second International Conference, 2006
2001
Proceedings of the IEEE International Conference on Acoustics, 2001