Yatong Zhou

According to our database, Yatong Zhou authored at least 37 papers between 2001 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Self-Attention Generative Adversarial Network Interpolating and Denoising Seismic Signals Simultaneously.

Mu Ding, Yatong Zhou, Yue Chi

Remote. Sens., January, 2024

UAV scale enhanced cross-modality graph matching net-USCMGM-net.

Ya Guo, Yatong Zhou, Fan Yang

Multim. Tools Appl., 2024

Structured Low-Rank Tensor Completion for IoT Spatiotemporal High-Resolution Sensing Data Reconstruction.

Xiaoyue Zhang, Jingfei He, XuanAng Pan, Yue Chi, Yatong Zhou

IEEE Internet Things J., 2024

2023

Deep reservoir calculation model and its application in the field of temperature and humidity prediction.

Minghui Zhang, Yatong Zhou, Yabo Liu

Appl. Intell., February, 2023

Hybrid Low-Rank and Sparsity Constraint With Hankel Structure Preservation for Simultaneous Seismic Reconstruction and Denoising.

Dongxu Zhang, Jingfei He, Yatong Zhou, Donghua Chen, Zhaocheng Wang

IEEE Geosci. Remote. Sens. Lett., 2023

ClusTop: An unsupervised and integrated text clustering and topic extraction framework.

Zhongtao Chen, Chenghu Mi, Siwei Duo, Jingfei He, Yatong Zhou

CoRR, 2023

2022

Statistics-Guided Dictionary Learning for Automatic Coherent Noise Suppression.

Yatong Zhou, Jian Yang, Hang Wang, Guangtan Huang, Yangkang Chen

IEEE Trans. Geosci. Remote. Sens., 2022

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

Jingfei He, Xunan Zheng, Peng Gao, Yatong Zhou

Signal Process., 2022

A Subspace Approach to Sparse-Sampling-Based Multi-Attribute Data Aggregation in IoT.

Xiaoyue Zhang, Jingfei He, Yatong Zhou, Yue Chi

IEEE Internet Things J., 2022

Time series forecasting by the novel Gaussian process wavelet self-join adjacent-feedback loop reservoir model.

Yatong Zhou, Minghui Zhang, Kuo-Ping Lin

Expert Syst. Appl., 2022

Denoising 3D magnetic resonance images based on weighted tensor nuclear norm minimization using balanced nonlocal patch tensors.

Jingfei He, Peng Gao, Xunan Zheng, Yatong Zhou, Hao He

Biomed. Signal Process. Control., 2022

2021

CloudU-Netv2: A Cloud Segmentation Method for Ground-Based Cloud Images Based on Deep Learning.

Chaojun Shi, Yatong Zhou, Bo Qiu

Neural Process. Lett., 2021

CloudU-Net: A Deep Convolutional Neural Network Architecture for Daytime and Nighttime Cloud Images' Segmentation.

Chaojun Shi, Yatong Zhou, Bo Qiu, Dongjiao Guo, Mengci Li

IEEE Geosci. Remote. Sens. Lett., 2021

Recovery of Corrupted Data in Wireless Sensor Networks Using Tensor Robust Principal Component Analysis.

Xiaoyue Zhang, Jingfei He, Yunpei Li, Yue Chi, Yatong Zhou

IEEE Commun. Lett., 2021

Improving Human Action Recognition Using Hierarchical Features And Multiple Classifier Ensembles.

Mohammad Farhad Bulbul, Saiful Islam, Yatong Zhou, Hazrat Ali

Comput. J., 2021

Prediction of MoRFs based on sequence properties and convolutional neural networks.

Hao He, Yatong Zhou, Yue Chi, Jingfei He

BioData Min., 2021

2020

A Subspace Approach to Sparse Sampling Based Data Gathering in Wireless Sensor Networks.

Jingfei He, Xiaoyue Zhang, Yatong Zhou, Miriam Maibvisira

Sensors, 2020

Environmental Monitoring in Wireless Sensor Networks using Structured Matrix Completion.

Jingfei He, Yatong Zhou, Guiling Sun

Proceedings of the IEEE Global Communications Conference, 2020

2019

Real-Time Data Recovery in Wireless Sensor Networks Using Spatiotemporal Correlation Based on Sparse Representation.

Jingfei He, Yatong Zhou

Wirel. Commun. Mob. Comput., 2019

Flattening the Seismic Data for Optimal Noise Attenuation.

Yatong Zhou, Jingfei He

IEEE Geosci. Remote. Sens. Lett., 2019

Compressive Multi-Attribute Data Gathering Using Hankel Matrix in Wireless Sensor Networks.

Jingfei He, Yatong Zhou, Guiling Sun, Yi Xu

IEEE Commun. Lett., 2019

Multi-Attribute Data Recovery in Wireless Sensor Networks With Joint Sparsity and Low-Rank Constraints Based on Tensor Completion.

Jingfei He, Yatong Zhou, Guiling Sun, Tianyu Geng

IEEE Access, 2019

2017

Empirical Low-Rank Approximation for Seismic Noise Attenuation.

Yangkang Chen, Yatong Zhou, Wei Chen, Shaohuan Zu, Weilin Huang, Dong Zhang

IEEE Trans. Geosci. Remote. Sens., 2017

Spike-Like Blending Noise Attenuation Using Structural Low-Rank Decomposition.

Yatong Zhou, Chaojun Shi, Hanming Chen, Jianyong Xie, Guoning Wu, Yangkang Chen

IEEE Geosci. Remote. Sens. Lett., 2017

2015

Ground-Roll Noise Attenuation Using a Simple and Effective Approach Based on Local Band-Limited Orthogonalization.

Yangkang Chen, Shebao Jiao, Jianwei Ma, Han-Ming Chen, Yatong Zhou, Shuwei Gan

IEEE Geosci. Remote. Sens. Lett., 2015

2014

A Precise Hard-Cut EM Algorithm for Mixtures of Gaussian Processes.

Ziyi Chen, Jinwen Ma, Yatong Zhou

Proceedings of the Intelligent Computing Methodologies - 10th International Conference, 2014

2010

Analysis of the distance between two classes for tuning SVM hyperparameters.

Jiancheng Sun, Chongxun Zheng, Xiaohe Li, Yatong Zhou

IEEE Trans. Neural Networks, 2010

2008

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

Jiancheng Sun, Chongxun Zheng, Yatong Zhou, Yaohui Bai, Jianguo Luo

Neurocomputing, 2008

A One-Step Network Traffic Prediction.

Xiangyang Mu, Nan Tang, Weixin Gao, Lin Li, Yatong Zhou

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.

Xiangyang Mu, Taiyi Zhang, Yatong Zhou

Proceedings of the MICAI 2007: Advances in Artificial Intelligence, 2007

2006

Constant Modulus Based Blind Channel Estimation for OFDM Systems.

Zhigang Chen, Taiyi Zhang, Yatong Zhou, Feng Liu

IEICE Trans. Commun., 2006

Prediction of Chaotic Time Series Based on Multi-scale Gaussian Processes.

Yatong Zhou, Taiyi Zhang, Xiaohe Li

Proceedings of the Intelligent Data Engineering and Automated Learning, 2006

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

Yatong Zhou, Taiyi Zhang, Xiaohe Li

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.

Jiancheng Sun, Yatong Zhou, Yaohui Bai, Jianguo Luo

Proceedings of the Neural Information Processing, 13th International Conference, 2006

Applying Bayesian Approach to Decision Tree.

Yatong Zhou, Taiyi Zhang, Zhigang Chen

Proceedings of the Computational Intelligence, 2006

Music Style Classification with a Novel Bayesian Model.

Yatong Zhou, Taiyi Zhang, Jiancheng Sun

Proceedings of the Advanced Data Mining and Applications, Second International Conference, 2006

2001

A new improved flexible segmentation algorithm using local cosine transform.

Enqing Dong, Guizhong Liu, Yatong Zhou

Proceedings of the IEEE International Conference on Acoustics, 2001