Rui Zhao(赵锐)
Rui Zhao(赵锐)
Head of Data & Quant, Pluang
Verified email at - Homepage
Cited by
Cited by
Deep learning and its applications to machine health monitoring: A survey
R Zhao, R Yan, Z Chen, K Mao, P Wang, RX Gao
Mechanical Systems and Signal Processing 115, 213-237, 2019
A sparse auto-encoder-based deep neural network approach for induction motor faults classification
W Sun, S Shao, R Zhao, R Yan, X Zhang, X Chen
Measurement 89, 171-178, 2016
Machine health monitoring using local feature-based gated recurrent unit networks
R Zhao, D Wang, R Yan, K Mao, F Shen, J Wang
IEEE Transactions on Industrial Electronics 65 (2), 1539-1548, 2017
Learning to monitor machine health with convolutional bi-directional LSTM networks
R Zhao, R Yan, J Wang, K Mao
Sensors 17 (2), 273, 2017
Machine remaining useful life prediction via an attention-based deep learning approach
Z Chen, M Wu, R Zhao, F Guretno, R Yan, X Li
IEEE Transactions on Industrial Electronics 68 (3), 2521-2531, 2020
Convolutional discriminative feature learning for induction motor fault diagnosis
W Sun, R Zhao, R Yan, S Shao, X Chen
IEEE Transactions on Industrial Informatics 13 (3), 1350-1359, 2017
Fuzzy bag-of-words model for document representation
R Zhao, K Mao
IEEE transactions on fuzzy systems 26 (2), 794-804, 2017
Automatic detection of cyberbullying on social networks based on bullying features
R Zhao, A Zhou, K Mao
Proceedings of the 17th international conference on distributed computing …, 2016
Machine health monitoring with LSTM networks
R Zhao, J Wang, R Yan, K Mao
2016 10th international conference on sensing technology (ICST), 1-6, 2016
Multisensory fusion based virtual tool wear sensing for ubiquitous manufacturing
J Wang, J Xie, R Zhao, L Zhang, L Duan
Robotics and computer-integrated manufacturing 45, 47-58, 2017
Deep heterogeneous GRU model for predictive analytics in smart manufacturing: Application to tool wear prediction
J Wang, J Yan, C Li, RX Gao, R Zhao
Computers in Industry 111, 1-14, 2019
Physics guided neural network for machining tool wear prediction
J Wang, Y Li, R Zhao, RX Gao
Journal of Manufacturing Systems 57, 298-310, 2020
Cyberbullying detection based on semantic-enhanced marginalized denoising auto-encoder
R Zhao, K Mao
IEEE Transactions on Affective Computing 8 (3), 328-339, 2016
Multilevel information fusion for induction motor fault diagnosis
J Wang, P Fu, L Zhang, RX Gao, R Zhao
IEEE/ASME Transactions on Mechatronics 24 (5), 2139-2150, 2019
Multiview convolutional neural networks for multidocument extractive summarization
Y Zhang, MJ Er, R Zhao, M Pratama
IEEE transactions on cybernetics 47 (10), 3230-3242, 2016
Building occupancy estimation with environmental sensors via CDBLSTM
Z Chen, R Zhao, Q Zhu, MK Masood, YC Soh, K Mao
IEEE Transactions on Industrial Electronics 64 (12), 9549-9559, 2017
A new probabilistic kernel factor analysis for multisensory data fusion: Application to tool condition monitoring
J Wang, J Xie, R Zhao, K Mao, L Zhang
IEEE Transactions on Instrumentation and Measurement 65 (11), 2527-2537, 2016
Dual-scale cascaded adaptive stochastic resonance for rotary machine health monitoring
R Zhao, R Yan, RX Gao
Journal of Manufacturing Systems 32 (4), 529-535, 2013
Topic-aware deep compositional models for sentence classification
R Zhao, K Mao
IEEE/ACM Transactions on Audio, Speech, and Language Processing 25 (2), 248-260, 2016
Semi-random projection for dimensionality reduction and extreme learning machine in high-dimensional space
R Zhao, K Mao
IEEE Computational Intelligence Magazine 10 (3), 30-41, 2015
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