| Deep learning and its applications to machine health monitoring R Zhao, R Yan, Z Chen, K Mao, P Wang, RX Gao Mechanical Systems and Signal Processing 115, 213-237, 2019 | 2693 | 2019 |
| 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 | 878 | 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 | 806 | 2017 |
| 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 | 458 | 2013 |
| Probabilistic neural-network structure determination for pattern classification KZ Mao, KC Tan, W Ser IEEE Transactions on neural networks 11 (4), 1009-1016, 2000 | 409 | 2000 |
| Can threshold networks be trained directly? GB Huang, QY Zhu, KZ Mao, CK Siew, P Saratchandran, N Sundararajan IEEE Transactions on Circuits and Systems II: Express Briefs 53 (3), 187-191, 2006 | 321 | 2006 |
| Fuzzy bag-of-words model for document representation R Zhao, K Mao IEEE transactions on fuzzy systems 26 (2), 794-804, 2017 | 305 | 2017 |
| Orthogonal forward selection and backward elimination algorithms for feature subset selection KZ Mao IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) 34 …, 2004 | 288 | 2004 |
| 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 | 276 | 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 | 275 | 2016 |
| Supervised learning-based cell image segmentation for p53 immunohistochemistry KZ Mao, P Zhao, PH Tan IEEE Transactions on Biomedical Engineering 53 (6), 1153-1163, 2006 | 202 | 2006 |
| Feature subset selection for support vector machines through discriminative function pruning analysis KZ Mao IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) 34 …, 2004 | 192 | 2004 |
| RBF neural network center selection based on Fisher ratio class separability measure KZ Mao IEEE Transactions on Neural Networks 13 (5), 1211-1217, 2002 | 191 | 2002 |
| Robust feature selection for microarray data based on multicriterion fusion F Yang, KZ Mao IEEE/ACM Transactions on Computational Biology and Bioinformatics 8 (4 …, 2010 | 189 | 2010 |
| Knowledge-oriented convolutional neural network for causal relation extraction from natural language texts P Li, K Mao Expert Systems with Applications 115, 512-523, 2019 | 185 | 2019 |
| Cyberbullying detection based on semantic-enhanced marginalized denoising auto-encoder R Zhao, K Mao IEEE Transactions on Affective Computing 8 (3), 328-339, 2016 | 149 | 2016 |
| Algorithms for minimal model structure detection in nonlinear dynamic system identification KZ Mao, SA Billings International journal of control 68 (2), 311-330, 1997 | 133 | 1997 |
| Neuron selection for RBF neural network classifier based on data structure preserving criterion KZ Mao, GB Huang IEEE Transactions on Neural Networks 16 (6), 1531-1540, 2005 | 125 | 2005 |
| Identifying critical variables of principal components for unsupervised feature selection KZ Mao IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) 35 …, 2005 | 112 | 2005 |
| LS bound based gene selection for DNA microarray data X Zhou, KZ Mao Bioinformatics 21 (8), 1559-1564, 2005 | 102 | 2005 |
Rui Zhao(赵锐)Director of Machine Learning & Capital Markets, PluangEmail yang diverifikasi di e.ntu.edu.sg