Rui Yang

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Mengjie HuangXi’an Jiaotong-Liverpool UniversityAdresse e-mail validée de xjtlu.edu.cn
Xiaohui LiuProfessor of Computing, Brunel UniversityAdresse e-mail validée de brunel.ac.uk
Zidong WangChair Professor, MAE, MEASA, FIEEE, Brunel University London, UKAdresse e-mail validée de brunel.ac.uk
Hai-Ning LiangThe Hong Kong University of Science and Technology (Guangzhou)Adresse e-mail validée de hkust-gz.edu.cn
Ji HanSenior Lecturer (Associate Professor), University of ExeterAdresse e-mail validée de exeter.ac.uk
Nianyin Zeng (曾念寅)Professor, Xiamen UniversityAdresse e-mail validée de xmu.edu.cn
Weibo LiuDepartment of Computer Science, Brunel University LondonAdresse e-mail validée de brunel.ac.uk
Huiqing WenXi'an Jiaotong-Liverpool University(XJTLU)Adresse e-mail validée de xjtlu.edu.cn
Ian GibsonUniversity of TwenteAdresse e-mail validée de utwente.nl
Yong YueXi'an Jiaotong-liverpool UniversityAdresse e-mail validée de xjtlu.edu.cn
Eng gee LIMProfessor of Electronics egineering, Xian jiaotong Liverpool university.Adresse e-mail validée de xjtlu.edu.cn
Jie SunXi’an-Jiaotong Liverpool UniversityAdresse e-mail validée de xjtlu.edu.cn
Baoye SongShandong University of Science and TechnologyAdresse e-mail validée de sdust.edu.cn
Youqing WangBeijing University of Chemical TechnologyAdresse e-mail validée de mail.buct.edu.cn
Ting XuePostdoc, Shandong University of Science and Technology; PhD, AKS, University of Duisburg-EssenAdresse e-mail validée de sdust.edu.cn
CHAO YANGCentral South UniversityAdresse e-mail validée de csu.edu.cn
Yang LiuUniversity of HuddersfieldAdresse e-mail validée de hud.ac.uk
Liang WenyuA*STAR Institute for Infocomm Research; National University of SingaporeAdresse e-mail validée de i2r.a-star.edu.sg
Xianghua WangShandong University of Science and TechnologyAdresse e-mail validée de sdust.edu.cn
Tan Chee PinProfessor, School of Engineering, Monash University MalaysiaAdresse e-mail validée de monash.edu

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Rui Yang

Xi’an Jiaotong-Liverpool University

Adresse e-mail validée de xjtlu.edu.cn - Page d'accueil

Data driven fault diagnosis transfer learning domain adaptation EEG signal classication


Titre Trier par citations Trier par année Trier par titre	Citée par Citée par	Année
A review on transfer learning in EEG signal analysis Z Wan, R Yang, M Huang, N Zeng, X Liu Neurocomputing 421, 1-14, 2021	426	2021
Deep transfer learning for bearing fault diagnosis: A systematic review since 2016 X Chen, R Yang, Y Xue, M Huang, R Ferrero, Z Wang IEEE Transactions on Instrumentation and Measurement 72, 1-21, 2023	230	2023
A hybrid feature model and deep learning based fault diagnosis for unmanned aerial vehicle sensors D Guo, M Zhong, H Ji, Y Liu, R Yang Neurocomputing 319, 155-163, 2018	136	2018
Smart chair for monitoring of sitting behavior M Huang, I Gibson, R Yang KnE Engineering, 274-280, 2017	98	2017
Rotating machinery fault diagnosis using long-short-term memory recurrent neural network R Yang, M Huang, Q Lu, M Zhong IFAC-PapersOnLine 51 (24), 228-232, 2018	94	2018
An improved fault diagnosis method of rotating machinery using sensitive features and RLS-BP neural network Q Lu, R Yang, M Zhong, Y Wang IEEE Transactions on Instrumentation and Measurement 69 (4), 1585-1593, 2019	85	2019
Deep common spatial pattern based motor imagery classification with improved objective function N Yu, R Yang, M Huang International Journal of Network Dynamics and Intelligence, 73-84, 2022	69	2022
An RBF neural network approach towards precision motion system with selective sensor fusion R Yang, PV Er, Z Wang, KK Tan Neurocomputing 199, 31-39, 2016	67	2016
Graph-based semi-supervised random forest for rotating machinery gearbox fault diagnosis S Chen, R Yang, M Zhong Control Engineering Practice 117, 104952, 2021	56	2021
Survey of movement reproduction in immersive virtual rehabilitation L Wang, M Huang, R Yang, HN Liang, J Han, Y Sun IEEE Transactions on Visualization and Computer Graphics 29 (4), 2184-2202, 2022	50	2022
Single-Source to Single-Target Cross-Subject Motor Imagery Classification Based on Multisubdomain Adaptation Network Y Chen, R Yang, M Huang, Z Wang, X Liu IEEE Transactions on Neural Systems and Rehabilitation Engineering 30, 1992 …, 2022	42	2022
A novel local binary temporal convolutional neural network for bearing fault diagnosis Y Xue, R Yang, X Chen, Z Tian, Z Wang IEEE Transactions on Instrumentation and Measurement, 2023	32	2023
Motor imagery EEG signal classification based on deep transfer learning M Wei, R Yang, M Huang 2021 IEEE 34th International Symposium on Computer-Based Medical Systems …, 2021	30	2021
EEG fading data classification based on improved manifold learning with adaptive neighborhood selection Z Wan, R Yang, M Huang, W Liu, N Zeng Neurocomputing 482, 186-196, 2022	29	2022
An unsupervised deep-transfer-learning-based motor imagery EEG classification scheme for brain–computer interface X Wang, R Yang, M Huang Sensors 22 (6), 2241, 2022	29	2022
A random forest and model-based hybrid method of fault diagnosis for satellite attitude control systems S Chen, R Yang, M Zhong, X Xi, C Liu IEEE Transactions on Instrumentation and Measurement 72, 1-13, 2023	28	2023
Deep Transfer Learning‐Based Fault Diagnosis for Gearbox under Complex Working Conditions Z Wan, R Yang, M Huang Shock and Vibration 2020 (1), 8884179, 2020	27	2020
Design of a hybrid brain-computer interface and virtual reality system for post-stroke rehabilitation M Huang, Y Zheng, J Zhang, C Song, R Yang IFAC-papersonline 53 (2), 16010-16015, 2020	25	2020
Understanding the effects of hand design on embodiment in virtual reality J Zhang, M Huang, R Yang, Y Wang, X Tang, J Han, HN Liang AI EDAM 37, e10, 2023	24	2023
Rolling bearing incipient fault diagnosis method based on improved transfer learning with hybrid feature extraction Z Yang, R Yang, M Huang Sensors 21 (23), 7894, 2021	21	2021

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