Chi Man VONG
Chi Man VONG
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Representational learning with extreme learning machine 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
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
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
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
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
3D2SeqViews: Aggregating sequential views for 3D global feature learning by CNN with hierarchical attention aggregation
Z Han, H Lu, Z Liu, CM Vong, YS Liu, M Zwicker, J Han, CLP Chen
IEEE Transactions on Image Processing 28 (8), 3986-3999, 2019
Novel efficient RNN and LSTM-like architectures: Recurrent and gated broad learning systems and their applications for text classification
J Du, CM Vong, CLP Chen
IEEE transactions on cybernetics 51 (3), 1586-1597, 2020
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
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
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
A rotating machinery fault diagnosis method based on feature learning of thermal images
Z Jia, Z Liu, CM Vong, M Pecht
Ieee Access 7, 12348-12359, 2019
Drug screening of cancer cell lines and human primary tumors using droplet microfluidics
AHH Wong, H Li, Y Jia, PI Mak, RPS Martins, Y Liu, CM Vong, HC Wong, ...
Scientific reports 7 (1), 9109, 2017
Sparse Bayesian extreme learning committee machine for engine simultaneous fault diagnosis
PK Wong, J Zhong, Z Yang, CM Vong
Neurocomputing 174, 331-343, 2016
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
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
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