A new improved flexible segmentation algorithm using local cosine transform. - Enqing Dong; Guizhong Liu; Yatong Zhou (ICASSP, 2001)

Music Style Classification with a Novel Bayesian Model. - Yatong Zhou; Taiyi Zhang; Jiancheng Sun (ADMA, 2006)

Applying Bayesian Approach to Decision Tree. - Yatong Zhou; Taiyi Zhang; Zhigang Chen (ICIC (2), 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 (ICONIP (1), 2006)

Predicting Nonstationary Time Series with Multi-scale Gaussian Processes Model. - Yatong Zhou; Taiyi Zhang; Xiaohe Li (ICONIP (1), 2006)

Prediction of Chaotic Time Series Based on Multi-scale Gaussian Processes. - Yatong Zhou; Taiyi Zhang; Xiaohe Li (IDEAL, 2006)

Constant Modulus Based Blind Channel Estimation for OFDM Systems. - Zhigang Chen; Taiyi Zhang; Yatong Zhou; Feng Liu (IEICE Trans. Commun., 2006)

Scaling Kernels: A New Least Squares Support Vector Machine Kernel for Approximation. - Xiangyang Mu; Taiyi Zhang; Yatong Zhou (MICAI, 2007)

A One-Step Network Traffic Prediction. - Xiangyang Mu; Nan Tang 004; Weixin Gao; Lin Li; Yatong Zhou (ICIC (2), 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)

Analysis of the distance between two classes for tuning SVM hyperparameters. - Jiancheng Sun; Chongxun Zheng; Xiaohe Li; Yatong Zhou (IEEE Trans. Neural Networks, 2010)

A Precise Hard-Cut EM Algorithm for Mixtures of Gaussian Processes. - Ziyi Chen 002; Jinwen Ma; Yatong Zhou (ICIC (2), 2014)

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)

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)

Empirical Low-Rank Approximation for Seismic Noise Attenuation. - Yangkang Chen; Yatong Zhou; Wei Chen 031; Shaohuan Zu; Weilin Huang; Dong Zhang 005 (IEEE Trans. Geosci. Remote. Sens., 2017)

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)

Compressive Multi-Attribute Data Gathering Using Hankel Matrix in Wireless Sensor Networks. - Jingfei He; Yatong Zhou; Guiling Sun; Yi Xu 014 (IEEE Commun. Lett., 2019)

Flattening the Seismic Data for Optimal Noise Attenuation. - Yatong Zhou; Jingfei He (IEEE Geosci. Remote. Sens. Lett., 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)

Environmental Monitoring in Wireless Sensor Networks using Structured Matrix Completion. - Jingfei He; Yatong Zhou; Guiling Sun (GLOBECOM, 2020)

A Subspace Approach to Sparse Sampling Based Data Gathering in Wireless Sensor Networks. - Jingfei He; Xiaoyue Zhang; Yatong Zhou; Miriam Maibvisira (Sensors, 2020)

Prediction of MoRFs based on sequence properties and convolutional neural networks. - Hao He; Yatong Zhou; Yue Chi; Jingfei He (BioData Min., 2021)

Improving Human Action Recognition Using Hierarchical Features And Multiple Classifier Ensembles. - Mohammad Farhad Bulbul; Saiful Islam; Yatong Zhou; Hazrat Ali (Comput. J., 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)

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)

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)

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)

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)

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)

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)

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)

ClusTop: An unsupervised and integrated text clustering and topic extraction framework. - Zhongtao Chen; Chenghu Mi; Siwei Duo; Jingfei He; Yatong Zhou (CoRR, 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 002 (IEEE Geosci. Remote. Sens. Lett., 2023)

Deep reservoir calculation model and its application in the field of temperature and humidity prediction. - Minghui Zhang; Yatong Zhou; Yabo Liu (Appl. Intell., 2023)

Multi-UAV simultaneous target assignment and path planning based on deep reinforcement learning in dynamic multiple obstacles environments. - Xiaoran Kong; Yatong Zhou; Zhe Li; Shaohai Wang (Frontiers Neurorobotics, 2023)

RGR-Net: Refined Graph Reasoning Network for multi-height hotspot defect detection in photovoltaic farms. - Shenshen Zhao; Haiyong Chen; Chuhan Wang; Yatong Zhou; Zhengtao Zhang (Expert Syst. 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)

Novel task decomposed multi-agent twin delayed deep deterministic policy gradient algorithm for multi-UAV autonomous path planning. - Yatong Zhou; Xiaoran Kong; Kuo-Ping Lin; Liangyu Liu (Knowl. Based Syst., 2024)

UAV scale enhanced cross-modality graph matching net-USCMGM-net. - Ya Guo; Yatong Zhou; Fan Yang (Multim. Tools Appl., 2024)

Self-Attention Generative Adversarial Network Interpolating and Denoising Seismic Signals Simultaneously. - Mu Ding; Yatong Zhou; Yue Chi (Remote. Sens., 2024)

USuperGlue: an unsupervised UAV image matching network based on local self-attention. - Yatong Zhou; Ya Guo; Kuo-Ping Lin; Fan Yang; Lingling Li 001 (Soft Comput., 2024)

PnP-UGCSuperGlue: deep learning drone image matching algorithm for visual localization. - Ya Guo; Fan Yang; Yazhong Si; Yipu Yang; Wei Zhang; Xiaolong Zhang; Yatong Zhou (J. Supercomput., 2024)

Towards efficient glaucoma screening with modular convolution-involution cascade architecture. - Mohamed Mouhafid; Yatong Zhou; Chunyan Shan; Zhitao Xiao (PeerJ Comput. Sci., 2025)

An advantage duPLEX dueling multi-agent Q-learning algorithm for multi-UAV cooperative target search in unknown environments. - Xiaoran Kong; Jianyong Yang; Xinghua Chai; Yatong Zhou (Simul. Model. Pract. Theory, 2025)

A short-term load demand forecasting: Levenberg-Marquardt (LM), Bayesian regularization (BR), and scaled conjugate gradient (SCG) optimization algorithm analysis. - Eustache Uwimana; Yatong Zhou; Ndiaye Mareme Sall (J. Supercomput., 2025)

Multi-class glaucoma diagnosis using GlauVGG-Net and multi-transform dynamic data augmentation. - Mohamed Mouhafid; Yatong Zhou; Chunyan Shan; Zhitao Xiao; Nawal Benzorgat (Digit. Signal Process., 2026)