Yatong Zhou

According to our database1, Yatong Zhou authored at least 29 papers between 2001 and 2022.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2022
Statistics-Guided Dictionary Learning for Automatic Coherent Noise Suppression.
IEEE Trans. Geosci. Remote. Sens., 2022

Low-rank tensor completion based on tensor train rank with partially overlapped sub-blocks.
Signal Process., 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

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

Flattening the Seismic Data for Optimal Noise Attenuation.
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
Empirical Low-Rank Approximation for Seismic Noise Attenuation.
IEEE Trans. Geosci. Remote. Sens., 2017

Spike-Like Blending Noise Attenuation Using Structural Low-Rank Decomposition.
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
A Precise Hard-Cut EM Algorithm for Mixtures of Gaussian Processes.
Proceedings of the Intelligent Computing Methodologies - 10th International Conference, 2014

2010
Analysis of the distance between two classes for tuning SVM hyperparameters.
IEEE Trans. Neural Networks, 2010

2008
Nonlinear noise reduction of chaotic time series based on multidimensional recurrent LS-SVM.
Neurocomputing, 2008

A One-Step Network Traffic Prediction.
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
Constant Modulus Based Blind Channel Estimation for OFDM Systems.
IEICE Trans. Commun., 2006

Prediction of Chaotic Time Series Based on Multi-scale Gaussian Processes.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2006

Predicting Nonstationary Time Series with Multi-scale Gaussian Processes Model.
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

Applying Bayesian Approach to Decision Tree.
Proceedings of the Computational Intelligence, 2006

Music Style Classification with a Novel Bayesian Model.
Proceedings of the Advanced Data Mining and Applications, Second International Conference, 2006

2001
A new improved flexible segmentation algorithm using local cosine transform.
Proceedings of the IEEE International Conference on Acoustics, 2001


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