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ORCIDYatong Zhou
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Journal Articles
- 2025
[j32]Eustache Uwimana, Yatong Zhou, Ndiaye Mareme Sall:
A short-term load demand forecasting: Levenberg-Marquardt (LM), Bayesian regularization (BR), and scaled conjugate gradient (SCG) optimization algorithm analysis. J. Supercomput. 81(1): 55 (2025)- 2024
- [j31]Shenshen Zhao
, Haiyong Chen, Chuhan Wang, Yatong Zhou, Zhengtao Zhang:
RGR-Net: Refined Graph Reasoning Network for multi-height hotspot defect detection in photovoltaic farms. Expert Syst. Appl. 245: 123034 (2024) - [j30]Xiaoyue Zhang, Jingfei He, XuanAng Pan, Yue Chi, Yatong Zhou:
Structured Low-Rank Tensor Completion for IoT Spatiotemporal High-Resolution Sensing Data Reconstruction. IEEE Internet Things J. 11(5): 8299-8310 (2024) - [j29]Yatong Zhou, Xiaoran Kong, Kuo-Ping Lin, Liangyu Liu:
Novel task decomposed multi-agent twin delayed deep deterministic policy gradient algorithm for multi-UAV autonomous path planning. Knowl. Based Syst. 287: 111462 (2024) - [j28]Ya Guo, Yatong Zhou, Fan Yang:
UAV scale enhanced cross-modality graph matching net-USCMGM-net. Multim. Tools Appl. 83(8): 23819-23838 (2024) - [j27]Mu Ding, Yatong Zhou, Yue Chi:
Self-Attention Generative Adversarial Network Interpolating and Denoising Seismic Signals Simultaneously. Remote. Sens. 16(2): 305 (2024) - [j26]Yatong Zhou, Ya Guo, Kuo-Ping Lin, Fan Yang, Lingling Li:
USuperGlue: an unsupervised UAV image matching network based on local self-attention. Soft Comput. 28(15-16): 8889-8909 (2024) - [j25]Ya Guo, Fan Yang, Yazhong Si, Yipu Yang, Wei Zhang, Xiaolong Zhang, Yatong Zhou:
PnP-UGCSuperGlue: deep learning drone image matching algorithm for visual localization. J. Supercomput. 80(12): 17711-17740 (2024) - 2023
- [j24]Minghui Zhang, Yatong Zhou, Yabo Liu:
Deep reservoir calculation model and its application in the field of temperature and humidity prediction. Appl. Intell. 53(4): 4393-4414 (2023) - [j23]Xiaoran Kong, Yatong Zhou, Zhe Li, Shaohai Wang:
Multi-UAV simultaneous target assignment and path planning based on deep reinforcement learning in dynamic multiple obstacles environments. Frontiers Neurorobotics 17 (2023) - [j22]Dongxu Zhang, Jingfei He, Yatong Zhou, Donghua Chen, Zhaocheng Wang:
Hybrid Low-Rank and Sparsity Constraint With Hankel Structure Preservation for Simultaneous Seismic Reconstruction and Denoising. IEEE Geosci. Remote. Sens. Lett. 20: 1-5 (2023) - 2022
- [j21]Jingfei He, Peng Gao, Xunan Zheng, Yatong Zhou, Hao He:
Denoising 3D magnetic resonance images based on weighted tensor nuclear norm minimization using balanced nonlocal patch tensors. Biomed. Signal Process. Control. 74: 103524 (2022) - [j20]Yatong Zhou, Minghui Zhang, Kuo-Ping Lin:
Time series forecasting by the novel Gaussian process wavelet self-join adjacent-feedback loop reservoir model. Expert Syst. Appl. 198: 116772 (2022) - [j19]Xiaoyue Zhang, Jingfei He, Yatong Zhou, Yue Chi:
A Subspace Approach to Sparse-Sampling-Based Multi-Attribute Data Aggregation in IoT. IEEE Internet Things J. 9(18): 18054-18063 (2022) - [j18]Jingfei He, Xunan Zheng, Peng Gao, Yatong Zhou:
Low-rank tensor completion based on tensor train rank with partially overlapped sub-blocks. Signal Process. 190: 108339 (2022) - [j17]Yatong Zhou, Jian Yang, Hang Wang, Guangtan Huang, Yangkang Chen:
Statistics-Guided Dictionary Learning for Automatic Coherent Noise Suppression. IEEE Trans. Geosci. Remote. Sens. 60: 1-17 (2022) - 2021
- [j16]Hao He, Yatong Zhou, Yue Chi, Jingfei He:
Prediction of MoRFs based on sequence properties and convolutional neural networks. BioData Min. 14(1) (2021) - [j15]Mohammad Farhad Bulbul, Saiful Islam, Yatong Zhou, Hazrat Ali:
Improving Human Action Recognition Using Hierarchical Features And Multiple Classifier Ensembles. Comput. J. 64(11): 1633-1655 (2021) - [j14]Xiaoyue Zhang, Jingfei He, Yunpei Li, Yue Chi, Yatong Zhou:
Recovery of Corrupted Data in Wireless Sensor Networks Using Tensor Robust Principal Component Analysis. IEEE Commun. Lett. 25(10): 3389-3393 (2021) - [j13]Chaojun Shi, Yatong Zhou, Bo Qiu, Dongjiao Guo, Mengci Li:
CloudU-Net: A Deep Convolutional Neural Network Architecture for Daytime and Nighttime Cloud Images' Segmentation. IEEE Geosci. Remote. Sens. Lett. 18(10): 1688-1692 (2021) - [j12]Chaojun Shi, Yatong Zhou, Bo Qiu:
CloudU-Netv2: A Cloud Segmentation Method for Ground-Based Cloud Images Based on Deep Learning. Neural Process. Lett. 53(4): 2715-2728 (2021) - 2020
- [j11]Jingfei He, Xiaoyue Zhang, Yatong Zhou, Miriam Maibvisira:
A Subspace Approach to Sparse Sampling Based Data Gathering in Wireless Sensor Networks. Sensors 20(4): 985 (2020) - 2019
- [j10]Jingfei He, Yatong Zhou, Guiling Sun, Tianyu Geng:
Multi-Attribute Data Recovery in Wireless Sensor Networks With Joint Sparsity and Low-Rank Constraints Based on Tensor Completion. IEEE Access 7: 135220-135230 (2019) - [j9]Jingfei He, Yatong Zhou, Guiling Sun, Yi Xu:
Compressive Multi-Attribute Data Gathering Using Hankel Matrix in Wireless Sensor Networks. IEEE Commun. Lett. 23(12): 2417-2421 (2019) - [j8]Yatong Zhou, Jingfei He:
Flattening the Seismic Data for Optimal Noise Attenuation. IEEE Geosci. Remote. Sens. Lett. 16(3): 487-491 (2019) - [j7]Jingfei He, Yatong Zhou:
Real-Time Data Recovery in Wireless Sensor Networks Using Spatiotemporal Correlation Based on Sparse Representation. Wirel. Commun. Mob. Comput. 2019: 2310730:1-2310730:7 (2019) - 2017
- [j6]Yatong Zhou, Chaojun Shi, Hanming Chen, Jianyong Xie, Guoning Wu, Yangkang Chen:
Spike-Like Blending Noise Attenuation Using Structural Low-Rank Decomposition. IEEE Geosci. Remote. Sens. Lett. 14(9): 1633-1637 (2017) - [j5]Yangkang Chen, Yatong Zhou, Wei Chen, Shaohuan Zu, Weilin Huang, Dong Zhang:
Empirical Low-Rank Approximation for Seismic Noise Attenuation. IEEE Trans. Geosci. Remote. Sens. 55(8): 4696-4711 (2017) - 2015
- [j4]Yangkang Chen, Shebao Jiao, Jianwei Ma, Han-Ming Chen, Yatong Zhou, Shuwei Gan:
Ground-Roll Noise Attenuation Using a Simple and Effective Approach Based on Local Band-Limited Orthogonalization. IEEE Geosci. Remote. Sens. Lett. 12(11): 2316-2320 (2015) - 2010
- [j3]Jiancheng Sun, Chongxun Zheng, Xiaohe Li, Yatong Zhou:
Analysis of the distance between two classes for tuning SVM hyperparameters. IEEE Trans. Neural Networks 21(2): 305-318 (2010) - 2008
- [j2]Jiancheng Sun, Chongxun Zheng, Yatong Zhou, Yaohui Bai, Jianguo Luo:
Nonlinear noise reduction of chaotic time series based on multidimensional recurrent LS-SVM. Neurocomputing 71(16-18): 3675-3679 (2008) - 2006
- [j1]Zhigang Chen, Taiyi Zhang, Yatong Zhou, Feng Liu:
Constant Modulus Based Blind Channel Estimation for OFDM Systems. IEICE Trans. Commun. 89-B(5): 1705-1708 (2006)
Conference and Workshop Papers
- 2020
- [c10]Jingfei He, Yatong Zhou, Guiling Sun:
Environmental Monitoring in Wireless Sensor Networks using Structured Matrix Completion. GLOBECOM 2020: 1-5 - 2014
- [c9]Ziyi Chen, Jinwen Ma, Yatong Zhou:
A Precise Hard-Cut EM Algorithm for Mixtures of Gaussian Processes. ICIC (2) 2014: 68-75 - 2008
- [c8]Xiangyang Mu, Nan Tang, Weixin Gao, Lin Li, Yatong Zhou:
A One-Step Network Traffic Prediction. ICIC (2) 2008: 616-621 - 2007
- [c7]Xiangyang Mu, Taiyi Zhang, Yatong Zhou:
Scaling Kernels: A New Least Squares Support Vector Machine Kernel for Approximation. MICAI 2007: 392-398 - 2006
- [c6]Yatong Zhou, Taiyi Zhang, Jiancheng Sun:
Music Style Classification with a Novel Bayesian Model. ADMA 2006: 150-156 - [c5]Yatong Zhou, Taiyi Zhang, Zhigang Chen:
Applying Bayesian Approach to Decision Tree. ICIC (2) 2006: 290-295 - [c4]Yatong Zhou, Taiyi Zhang, Xiaohe Li:
Predicting Nonstationary Time Series with Multi-scale Gaussian Processes Model. ICONIP (1) 2006: 513-520 - [c3]Jiancheng Sun, Yatong Zhou, Yaohui Bai, Jianguo Luo:
Nonlinear Noise Reduction of Chaotic Time Series Based on Multi-dimensional Recurrent Least Squares Support Vector Machines. ICONIP (1) 2006: 900-906 - [c2]Yatong Zhou, Taiyi Zhang, Xiaohe Li:
Prediction of Chaotic Time Series Based on Multi-scale Gaussian Processes. IDEAL 2006: 183-190 - 2001
- [c1]Enqing Dong, Guizhong Liu, Yatong Zhou:
A new improved flexible segmentation algorithm using local cosine transform. ICASSP 2001: 3569-3572
Informal and Other Publications
- 2023
- [i1]Zhongtao Chen, Chenghu Mi, Siwei Duo, Jingfei He, Yatong Zhou:
ClusTop: An unsupervised and integrated text clustering and topic extraction framework. CoRR abs/2301.00818 (2023)
Coauthor Index
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