chi man vong
chi man vong
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Representational learning with ELMs for big data
LLC Kasun, H Zhou, GB Huang, CM Vong
Extreme learning machines [trends & controversies]
E Cambria, GB Huang, LLC Kasun, H Zhou, CM Vong, J Lin, J Yin, Z Cai, ...
IEEE intelligent systems 28 (6), 30-59, 2013
Local receptive fields based extreme learning machine
GB Huang, Z Bai, LLC Kasun, CM Vong
IEEE Computational intelligence magazine 10 (2), 18-29, 2015
Sparse Bayesian extreme learning machine for multi-classification
J Luo, CM Vong, PK Wong
IEEE Transactions on Neural Networks and Learning Systems 25 (4), 836-843, 2013
Prediction of automotive engine power and torque using least squares support vector machines and Bayesian inference
CM Vong, PK Wong, YP Li
Engineering Applications of Artificial Intelligence 19 (3), 277-287, 2006
Rate-dependent hysteresis modeling and control of a piezostage using online support vector machine and relevance vector machine
PK Wong, Q Xu, CM Vong, HC Wong
IEEE Transactions on Industrial Electronics 59 (4), 1988-2001, 2011
Real-time fault diagnosis for gas turbine generator systems using extreme learning machine
PK Wong, Z Yang, CM Vong, J Zhong
Neurocomputing 128, 249-257, 2014
Modeling and optimization of biodiesel engine performance using kernel-based extreme learning machine and cuckoo search
PK Wong, KI Wong, CM Vong, CS Cheung
Renewable Energy 74, 640-647, 2015
Kernel-based multilayer extreme learning machines for representation learning
CM Wong, CM Vong, PK Wong, J Cao
IEEE transactions on neural networks and learning systems 29 (3), 757-762, 2016
Case-based reasoning and adaptation in hydraulic production machine design
CM Vong, TP Leung, PK Wong
Engineering Applications of Artificial Intelligence 15 (6), 567-585, 2002
Engine ignition signal diagnosis with wavelet packet transform and multi-class least squares support vector machines
CM Vong, PK Wong
Expert Systems with Applications 38 (7), 8563-8570, 2011
Modeling and optimization of biodiesel engine performance using advanced machine learning methods
KI Wong, PK Wong, CS Cheung, CM Vong
Energy 55, 519-528, 2013
SeqViews2SeqLabels: Learning 3D global features via aggregating sequential views by RNN with attention
Z Han, M Shang, Z Liu, CM Vong, YS Liu, M Zwicker, J Han, CLP Chen
IEEE Transactions on Image Processing 28 (2), 658-672, 2018
Engine idle-speed system modelling and control optimization using artificial intelligence
PK Wong, LM Tam, K Li, CM Vong
Proceedings of the Institution of Mechanical Engineers, Part D: Journal of …, 2010
Capturing high-discriminative fault features for electronics-rich analog system via deep learning
Z Liu, Z Jia, CM Vong, S Bu, J Han, X Tang
IEEE Transactions on Industrial Informatics 13 (3), 1213-1226, 2017
Fast detection of impact location using kernel extreme learning machine
H Fu, CM Vong, PK Wong, Z Yang
Neural Computing and Applications 27 (1), 121-130, 2016
A new framework of simultaneous-fault diagnosis using pairwise probabilistic multi-label classification for time-dependent patterns
CM Vong, PK Wong, WF Ip
IEEE transactions on industrial electronics 60 (8), 3372-3385, 2012
Predicting minority class for suspended particulate matters level by extreme learning machine
CM Vong, WF Ip, PK Wong, CC Chiu
Neurocomputing 128, 136-144, 2014
Sparse Bayesian extreme learning committee machine for engine simultaneous fault diagnosis
PK Wong, J Zhong, Z Yang, CM Vong
Neurocomputing 174, 331-343, 2016
Ensemble extreme learning machine and sparse representation classification
J Cao, J Hao, X Lai, CM Vong, M Luo
Journal of the Franklin Institute 353 (17), 4526-4541, 2016
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