Chi Man VONG, Matthew
黃志文 Associate Professor Associate Head of Department of Computer and Information Science (CIS) |

Academic Qualifications

- PhD in Software Engineering, FST, University of Macau (2005)
- M.Sc. in Software Engineering, FST, University of Macau (2000)
- B.Sc. in Software Engineering, FST, University of Macau (1996)

Working Experience

- AUG-2013 to present:
, Dept. of Computer and Information Science, Faculty of Science and Technology, University of Macau*Associate Professor* - JAN-2006 to AUG-2013:
, Dept. of Computer and Information Science, Faculty of Science and Technology, University of Macau*Assistant Professor* - JAN-2000 to DEC-2005:
, Dept. of Computer and Information Science, Faculty of Science and Technology, University of Macau*Lecturer* - SEPT-1996 to DEC-1999:
, Dept. of Computer and Information Science, Faculty of Science and Technology, University of Macau*Full-time Teaching Assistant* - JUN-1996 to AUG-1996:
, Companhia de Telecomunicações de Macau, S.A.R.L. (CTM)*Engineer Trainee*

Award and Honor

**Best Presentation Award**, International Symposium on Extreme Learning Machines (ELM 2012), Singapore, 11-13 December, 2012.**Long Service Award of 15 years**, by University of Macau (UM), 2011.

Teaching

M.Sc. Courses

- Computer Science Seminar (IMSS005)
- Special Topics in CS II: Advance in Machine Learning (IMSS016)

B.Sc. Courses

- Algorithms Design and Analysis (CISB223)
- Artificial Intelligence (CISC3012)

Supervised Postgraduate Students

- WONG Chi-man, MSc.,
*Extreme Learning Machine for Multi-class Classification*, Sept 2015 – May 2018. - GE Xiaowei, MSc.,
*Peak-sensitive method for time-delay and peak/valley problems in time series forecasting*, Sept 2014 – Sept 2017. - LIU Yan, MSc.,
*Translation Hypothesis Re-ranking for Statistical Machine Translation*, Sept 2014 – Jun 2017. - WEN Yuan, MSc.,
*Improved Re-ranking model for Translation Hypothesis Using Extreme Learning Machine*, Sept 2013 – Aug 2016. - ZHANG Rui, MSc.,
*Application of Support Vector Machines and Principal Components Analysis to Damage Impact Location*, Sept 2007 – Aug 2014. - FU He-ming, MSc.,
*Comparison Study of SVM and BPNN for Damage Impact Location Based on PCA*, 2011 – Jul 2014. - LUO Jia-hua, MSc.,
*Compact Modelling by Sparse Bayesian Extreme Learning Machine,*Sept 2011 – Jun 2014. - Chiu Chi-chong, MSc.,
*Online Sequential Prediction of Minority Class of Suspended Particulate Matters by Meta-Cognitive OS-ELM*, University of Macau, Sept 2010 – Aug 2013. - YANG Jing-yi, MSc., An Improved Algorithm for Data Filtering Based on Variation for Short Term Air Pollution Prediction in Macau, University of Macau, Sept 2009 – Jul 2012.
- HUANG He, MSc.,
*Case-based Expert System using Wavelet Packet Transform and Kernel-based Feature Manipulation for Engine Spark Ignition Diagnosis*, University of Macau, Jan 2009 – Apr 2010. - NG Man-chi, MSc.,
*Support Vector Machines for Automotive Engine Ignition Signal Analysis and Inspection*, University of Macau, Sept 2008 – Aug 2009. - BAO Rui-he, MSc.,
*Case-based Reasoning for Automotive Electronic Control Unit Calibration*, University of Macau, Sept 2007 – Jun 2009.

Research

Research Interests

- Intelligent Systems

**Secure Cloud Storage using Homomorphic Encrypted Machine Learning**, funded by Research Committee of University of Macau, 2018-2020.**Online Learning for Multi-label Data Streams**, funded by Science and Technology Development Fund of Macau (FDCT), 2017-2019.**Highly Efficient Semantic Semi-dense 3D Reconstruction using Quadcopters,**funded by funded by Research Committee of University of Macau, 2017-2019.**SDTAM (Semi-dense Tracking and Mapping) and Its Application to Real-time 3D Reconstruction**, funded by Science and Technology Development Fund of Macau (FDCT), 2016-2017.**Efficient and Parsimonious Modeling by Sparse Bayesian Extreme Learning Machine**, funded by Science and Technology Development Fund of Macau (FDCT), 2014-2015.**Compact Modelling by Sparse Bayesian Extreme Learning Machine for Big Data**, funded by funded by Research Committee of University of Macau, 2014-2016.**Modelling and Optimization of Bio-fuelled Automotive Engines using Advanced Machine Learning Techniques,**funded by Research Committee of University of Macau, 2013-2015.**Simultaneous Fault Diagnosis of Automotive Engine Based on Ignition Patterns**, funded by Research Committee of University of Macau, 2012.**Model Predictive Engine Air-ratio Control using Online Sequential Relevance Vector Machine**, funded by Research Committee of University of Macau, 2011.**Feature Extraction and Support Vector Machines Method for Fault Diagnosis of Power Generation Equipments**, funded by Research Committee of University of Macau, 2011.**Forecasting Daily Ambient Air Pollution Using Kernel Learning Methods with Wavelet Analysis,**funded by Research Committee of University of Macau, 2011.**CBR-based Engine Spark Ignition Diagnosis with Wavelet Packet Transform and Kernel Principal Components Analysis,**funded by Research Committee of University of Macau, 2010.**Forecasting Daily Ambient Air Pollution based on Wavelet Least Squares Support Vector Machines,**funded by Research Committee of University of Macau, 2010.**Signal Analysis of Automotive Engine Spark Ignition System using Case-based Reasoning (CBR) and Case-based Maintenance (CBM) ,**funded by Research Committee of University of Macau, 2009.**Modelling and Optimization of Automotive Engine Dynamic Performance under Numerical and Nominal Data**, funded by Science and Technology Development Fund of Macau (FDCT), 2007-2009.**Modelling and Optimization of Automotive Engine Dynamic Performance under Numerical and Nominal Data,**funded by Research Committee of University of Macau, 2006-2007.**Data Preprocessing and Modelling of Advanced Automotive Engines**, funded by Research Committee of University of Macau, 2005.**Prediction of Vehicle Performance using Neural Networks,**funded by Research Committee of University of Macau, 2004.**Application of Data Mining Techniques for Automotive Engine Data Analysis,**funded by Research Committee of University of Macau, 2002.

Selected Publications

Journal Papers (Since 2002 - present)

*(SCI-E)*__J.____Du,__**C.M. Vong,**Online Multi-Label Learning under Dynamic Changes in Data Distribution with Labels,*IEEE Transactions on Cybernetics*, (Accepted and In Press).*(SCI-E)*Z. Han, M. Shang, Z. Liu,**C.M.****Vong,**Y.S. Liu, J. Han,*C.L.P. Chen,*, SeqViews2SeqLabels: Learning 3D Global Features via Aggregating Sequential Views by RNN with Attention,*IEEE Transactions on Image Processing*, DOI: 10.1109/TIP.2018.2868426 (In Press).*(SCI-E)***Vong, C.M.**,__Du Jie,____Wong, C.M.__, Cao, J., Postboosting using Extended G-mean for Online Sequential Multiclass Imbalance Learning,*IEEE Transactions on Neural Networks and Learning Systems*, DOI: 10.1109/TNNLS.2018.2826553 (In Press).*(SCI-E)*Han, Z., Liu, Z., Han, J.,**Vong, C.M.**, Bu, S.,*Chen, CLP*, Unsupervised Learning 3D Local Feature from Raw Voxels based on A Novel Permutation Voxelization Strategy,*IEEE Transactions on Cybernetics*, DOI: 10.1109/TCYB.2017.2778764 (In Press).*(SCI-E)***Vong, C.M.**,__Chen, C. Q.__,*Wong, P.K.*, Empirical Kernel Map-Based Multilayer Extreme Learning Machines for Representation Learning,*Neurocomputing*, DOI: 10.1016/j.neucom.2018.05.032 (In Press).*(SCI-E)**P.K. Wong,*__X. H. Gao__,__K.I. Wong__,**C.M. Vong,***Z.X. Yang*, Initial-training-free online sequential extreme learning machine based adaptive engine air-fuel ratio control,*International Journal of Machine Learning and Cybernetics,*DOI: 10.1007/s13042-018-0863-0 (In Press).*(SCI-E)*Z. Liu, Z. Jia,**C.M. Vong**, J. Han, C. Yan, M. Pecht, A Patent Analysis of Prognostics and Health Management (PHM) Innovations for Electrical Systems,*IEEE Access*, Vol. 6, pp. 18088-18107, 2018.*(SCI-E)*P. Zhu, Y. Chun, Y. Cheng, X. Huang, J.W. Cao,**C.M. Vong**,*P.K. Wong*, An improved feature extraction algorithm for automatic defect identification based on eddy current pulsed thermography,*Mechanical Systems and Signal Processing*, Vol. 113, pp. 5-21, December 2018.*(SCI-E)*J.W Cao, T.L.Wang, L.M. Shang, J.Z. Wang,**C.M. Vong**, C. Yin, X.G. Huang, A Novel Distance Estimation Algorithm for Periodic Surface Vibrations based on Frequency Band Energy Percentage Feature, Mechanical Systems and Signal Processing, Vol. 113, pp.222-236, December 2018.*(SCI-E)*__Chen, C. Q.__,**Vong, C.M.**,__Wong, C.M.__,__Wang, W.__,*Wong, P.K.*, Efficient Extreme Learning Machine via Very Sparse Random Projection,*Soft Computing*, Vol. 22(11), pp. 3563-3574, June 2018.*(SCI-E)*__Wong, C.M__,**Vong, C.M**.,*Wong, P.K.*, Cao, J. Kernel-based Multilayer Extreme Learning Machines for Representation Learning,*IEEE Transactions on Neural Networks and Learning Systems,*Vol. 29 (3), pp. 757-762, Mar, 2018.*(SCI-E)*Han, Z., Liu, Z.,**Vong, C.M.**, Liu, Y., Bu, S., Han, J.,*Chen, CLP*, Deep Spatiality: Unsupervised Learning of Spatially-Enhanced Global and Local 3D Features by Deep Neural Network with Coupled Softmax,*IEEE Transactions on Image Processing*, Vol. 27(6), pp. 3049-3063, March 2018.*(SCI-E)**Wong, P.K.*,__Gao, X. H.__,__Wong, K.I.__,**Vong, C.M.**, Efficient Point-by-point Engine Calibration using Machine Learning and Sequential Design of Experiment Strategies,*Journal of the Franklin Institute,*Vol. 355(4), pp. 1517-1538, March 2018.*(SCI-E)**Wong, P.K.,*__Gao, X.H.__,__Wong K.I.__,**Vong, C.M.**, Online Extreme Learning Machine based Modeling and Optimization for Point-by-point Engine Calibration,*Neurocomputing*, Vol. 227, pp. 187-197, February, 2018.*(SCI-E)*__Du, J.__,**Vong, C.M.**,*Pun, C.M., Wong, P.K., Ip, W.F*., Post-boosting of classification boundary for imbalanced data using geometric mean,*Neural Networks*, Vol. 96, pp. 101-114, Dec, 2017.*(SCI-E)***Vong, C.M.**,__Liu, Y.__, Cao, J., Yin, C. Cascaded Re-ranking Modelling of Translation Hypotheses using Extreme Learning Machines,*Applied Soft Computing*, Vol. 58, pp. 681-689, Sept 2017.*(SCI-E)*__Liu, Y.__,**Vong, C.M.**,*Wong, P.K.*Extreme Learning Machine for Huge Hypotheses Re-ranking in Statistical Machine Translation,*Cognitive Computation*, Vol. 9(2), pp. 285-294, 2017.*(SCI-E)*Liu, Z., Jia, Z.,**Vong, C.M.**, Bu, S. Han, J., Tang, X., Capturing High Discriminative Fault Features for Electronics-rich Analog System via Deep Learning,*IEEE Transactions on Industrial Informatics*, Vol. 13(3), pp. 1213-1226, 2017.*(SCI-E)*Han, Z., Liu, Z., Han, J.,**Vong, C.M.**, Bu, S.,*Chen, CLP*, Mesh Convolutional Restricted Boltzmann Machines for Unsupervised Learning of Features with Structure Preservation on 3D Meshes,*IEEE Transactions on Neural Networks and Learning Systems*, Vol. 28 (10), pp. 2268-2281, 2017.*(SCI-E)*Han, Z., Liu, Z.,**Vong, C.M.**, Liu, Y., Bu, S., Han, J.,*Chen, CLP,*BoSCC: Bag of Spatial Context Correlations for Spatially Enhanced 3D Shape Representation,*IEEE Transactions on Image Processing*, Vol. 26(8), pp.3707-3720, 2017.*(SCI-E)**Wong, AHH*,*Li, HR, Jia, YW, Mak, PI, Martins, RPD,*__Liu, Y,__**Vong, C.M.**, et. al., Drug Screening of Cancer Cell Lines and Human Primary Tumors using Droplet Microfluidics,*Scientific Reports*, Vol. 7, DOI: 10.1038/s41598-017-08831-z, 2017.*(SCI-E)*__Wang, W.__,**Vong, C.M.**,__Yang Y.__,*Wong P.K.*, Encrypted Image Classification based on Multilayer Extreme Learning,*Multidimensional Systems and Signal Processing*, Vol. 28(3), pp. 851-865, 2017.*(SCI-E)*Rong, H., Yang, Z.,*Wong, P.K.,***Vong, C.M.**Adaptive self-learning fuzzy autopilot design for uncertain bank-to-turn missiles,*Journal of Dynamic Systems, Measurement, and Control*, Vol. 139(4), DOI: 10.1115/1.4035091, 2017.*(SCI-E)*Rong, H., Yang, Z.,*Wong, P.K.*,**Vong, C.M.**, Zhao, G. A novel meta-cognitive fuzzy-neural model with backstepping strategy for adaptive control of uncertain nonlinear systems,*Neurocomputing*, Vol. 230, pp. 332-344, 2017.*(SCI-E)*Rong, H., Yang, Z.,*Wong, P.K.*,**Vong, C.M.**, Zhao, G. Self-evolving fuzzy model-based controller with online structure and parameter learning for hypersonic vehicle,*Aerospace Science and Technology*, Vol. 64 (5), pp. 1-15, 2017.*(SCI-E)**Wong, P.K.*,__Zhong, J.H.__,*Yang, Z.X.*,**Vong, C.M.**, A New Framework for Intelligent Simultaneous-fault Diagnosis of Rotating Machinery using Pairwise-coupled sparse Bayesian Extreme Learning Committee Machine,*Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science*, Vol. 231(6), pp. 1146-1161, 2017.*(SCI-E)*__Lin C.__,*Pun, C.M.*,**Vong, C.M.**, Adjeroh, D., Efficient Shape Classification using Region Descriptors,*Multimedia Tools and Applications**(SCI-E)*, Vol. 76(1), pp. 83-102, 2017.*(SCI-E)*Cao, J., Hao, J., Lai, X.,**Vong, C.M.**, Luo, M., Ensemble Extreme Learning Machine and Sparse Representation Classification,*Journal of the Franklin Institute (SCI-E)*, Vol. 353 (17), pp. 4526-4541, 2016.*(SCI-E)*Han, Z., Liu, Z., Han, J.,**Vong, C.M.**, Bu, S., Li, X. Unsupervised 3D local Feature Learning by Circle Convolutional Restricted Boltzmann Machine,*IEEE Transactions on Image Processing*, Vol. 25(11), pp. 5331-5344, 2016.*(SCI-E)**Wong, P.K.*,__Wong, H.C.__,**Vong, C.M.**,__Wong, K. I.__, Online Wavelet Least-Squares Support Vector Machine Fuzzy Predictive Control for Engine Lambda Regulation,*International Journal of Engine Research,*Vol. 17(8), pp. 866-885, 2016.*(SCI-E)**Wong, P.K.*,__Gao, X.H.__,__Wong, K.I.__,**Vong, C.M.**, An Analytic Study on Reasoning of Extreme Learning Machine for Classification from Its Inductive Bias,*Cognitive Computation*, Vol. 8(4), pp. 746-756, 2016.*(SCI-E)*__Gao, X.__,__Wong, K.I.__,*Wong, P.K.*,**Vong, C.M.**, Adaptive Control of Rapidly Time-varying Discrete-time System using Initial-Training-Free Online Extreme Learning Machine,*Neurocomputing*, Vol. 194, pp. 117-125, 2016.*(SCI-E)**Wong, P.K.*,__Zhong, J.H.__,*Yang, Z.X.,***Vong, C.M.**, Sparse Bayesian Extreme Learning Committee Machine for Engine Simultaneous Fault Diagnosis.*Neurocomputing*, Vol. 174, pp. 331-343, 2016.*(SCI-E)**Wong, P. K.**,***Vong, C. M.**,__Wong, K. I.__,__Ma, Z. Q.__Development of a wireless inspection and notification system with minimum monitoring hardware for real-time vehicle engine health inspection.*Transportation Research Part C*, Vol. 58. pp. 29-45, 2015.*(SCI-E)*Huang, G.B., Bai, Z., Kasun, L.L.C.,**Vong, C.M.**, Local Receptive Fields Based Extreme Learning Machine.*IEEE Computational Intelligence Magazine*, Vol. 10(2). pp. 18-29, 2015.*(SCI-E)***Vong, C.M.**,*Ip, W.F., Wong, P.K.*, Imbalanced Learning for Air Pollution by Meta-Cognitive Online Sequential Extreme Learning Machine.*Cognitive Computation*, 7(3), pp.381-391, 2015.*(SCI-E)***Vong, C.M.**,__Tai, K.I.__,*Pun, C.M.*,*Wong, P.K.*, Fast and Accurate Face Detection by Sparse Bayesian Extreme Learning Machine.*Neural Computing and Applications*, 26(5). pp. 1149-1156, 2015.*(SCI-E)*__Wong, K.I.__,*Wong, P.K.*, Cheung, C.S.,**Vong, C.M.**, Modeling and Optimization of Biodiesel Engine Performance using Kernel-based Extreme Learning Machine and Cuckoo Search.*Renewable Energy*, Vol. 74, pp.640-647, 2015.*(SCI-E)**Wong, P.K.,*__Wong, H.C.__,**Vong, C.M.**,__Iong, T.M.__,__Wong, K.I.,____Gao, X.H.__, Fault Tolerance Automotive Air-Ratio Control using Extreme Learning Machine Model Predictive Controller.*Mathematical Problems in Engineering*, Volume 2015, Article ID 317142, 10 pages. DOI:10.1155/2015/317142.*(SCI-E)*__Luo, J.H.__,**Vong, C.M.**,*Wong, P.K.*Sparse Bayesian Extreme Learning Machine for Multi-classification.*IEEE Transactions on Neural Networks and Learning Systems*, Vol. 25(4), pp. 836 – 843, 2014.*(SCI-E)***Vong, C.M.**,*Wong, P.K.,*Simultaneous-fault Detection based on Qualitative Symptom Descriptions for Automotive Engine Diagnosis.*Applied Soft Computing*, Vol. 13, pp. 4428-4441.*(SCI-E)*__Fu, H.__,**Vong, C.M.**,*Wong, P.K., Yang, Z.X.*Fast Detection of Impact Location using Kernel Extreme Learning Machine.*Neural Computing and Applications, Vol. 27(1), pp. 121-130, 2016.**(SCI-E)**Wong, P.K.,*__Wong, H.C.,__**Vong, C.M.**,*Xie, Z.C.*,__Huang, S.__, Model Predictive Engine Air-ratio Control using Online Sequential Extreme Learning.*Neural Computing and Applications,**Vol. 27(1), pp. 79-92, 2016*7.*(SCI-E)***Vong, C.M.**,*Ip, W.F., Wong, P.K.,*Variation-oriented Data Filtering for Improvement in Model Complexity of Air Pollutant Prediction Model.*Mathematical Problems in Engineering*, Volume 2014, Article ID 310478, 13 pages. DOI:10.1155/2014/310478.*(SCI-E)**Wong, P.K.,***Vong, C.M.**,__Gao, X.H.__,__Wong, K.I.,__Adaptive Control using Fully Online Sequential Extreme Learning Machine and a Case Study on Engine Air-Fuel Ratio Regulation.*Mathematical Problems in Engineering*, Volume 2014, Article ID 246964, 11 pages. DOI:10.1155/2014/246964.*(SCI-E)*__Wong, K.I.__,**Vong, C.M.**,*Wong, P.K.*,__Luo, J.H.__, Sparse Bayesian Extreme Learning Machine and its Application to Biofuel Engine Performance.*Neurocomputing,*Vol.149, September, pp. 397-404, 2014.*(SCI-E)***Vong, C. M.,***Ip, W. F., Wong, P. K.,*&__Chiu, C. C.__Predicting minority class for suspended particulate matters level by extreme learning machine.*Neurocomputing*, Vol. 128, March, pp. 136-144, 2014.*(SCI-E)**Wong, P.K.*,*Yang, Z.X.*,**Vong, C.M.**,__Zhong, J.H.__, Real-Time Fault Diagnosis for Gas Turbine Generator Systems by using Extreme Learning Machine.*Neurocomputing*, Vol. 128, March, pp. 249-257, 2014.*(SCI-E)*Cambria, E., Huang, G.B., Kasun, L.L.C., Zhou, H.M.,**Vong, C.M.**, et. al., Extreme Learning Machines [Trends & Controversies].*IEEE Intelligent Systems*, Vol. 28(No. 6), pp. 31-59, 2013.*(SCI-E)**Wong, P. K.*,**Vong, C. M.**, Cheung, C. S. &__Wong, K. I.__Diesel engine modelling using extreme learning machine under scarce and exponential data sets.*International Journal of Uncertainty, Fuzziness and Knowledge-based Systems*, Vol. 21 (No. Suppl. 2), pp. 87-98, December, 2013.*(SCI-E)*__Wong, K.I.,__*Wong, P.K.,*Cheung, C.S.,**Vong, C.M.**Modelling of Diesel Engine Performance using Advanced Machine Learning Methods under Scarce and Exponential Data Set,*Applied Soft Computing*, Vol. 13(No.11), pp.4428-4441, 2013*.**(SCI-E)**Yang, Z.X., Wong, P. K.,***Vong, C.M.**__Zhong, J.H.__,__Liang, J.J.Y.__Simultaneous-fault Diagnosis of Gas Turbine Generator Systems using a Pairwise-coupled Probabilistic Classifier,*Mathematical Problems in Engineering,*Vol. 2013, Article ID 827128, 14 pages, 2013,__http://dx.doi.org/10.1155/2013/827128__*(SCI-E)***Vong, C.M.***Wong, P. K., Ip, W.F.*,__Chiu, C.C.__Simultaneous Fault Diagnosis of Automotive Engine Ignition Systems using Prior Domain Knowledge and Relevance Vector Machine,*Mathematical Problems in Engineering,*Vol. 2013, Article ID 974862, 19 pages, 2013,__http://dx.doi.org/10.1155/2013/974862__.*(SCI-E)*__Wong, K.I.,__*Wong, P. K.*, Cheung , C.S.,**Vong, C.M.**, Modelling and Optimization of Biodiesel Engine Performance using Advanced Machine Learning Methods,*Energy*, Vol. 55, June, pp. 519-528, 2013.*(SCI-E)***Vong, C. M.,***Wong, P. K., Ip, W. F.*A new framework of simultaneous-fault diagnosis using pairwise probabilistic multi-label classification for time-dependent patterns.*IEEE Transactions on Industrial Electronics.*Vol. 60(No. 8), pp. 3372-3385, 2013.*(EI) Wong, P.K.,***Vong, C.M**.,*Ip, W.F.,*__Wong, H.C.__(2012) Flexibility study on telemetric vehicle emission examination.*International**Journal of Satellite Communications Policy and Management.*Vol.1(No. 2-3), pp. 220-229.*(SCI-E)**Yang, Z.X., Wong, P.K.,***Vong, C.M.**, and Lo, K.M. (2012) Constraint based Adaptive Shape Deformation Technology for Customized Product Development,*International Journal of Materials & Product Technology*. Vol. 44(No. 1-2), pp. 1-16, 2012.*(EI)*__Wong, H.C.__*, Wong, P.K.*and**Vong, C.M.**(2012) Model Predictive Engine Air-Ratio Control Using Online Sequential Relevance Vector Machine,*Journal of Control Science and Engineering*, Article ID 731825, 15 pages, 2012. DOI: 10.1155/2012/731825.*(EI)***Vong, C.M.**,*Ip, W.F., Wong, P.K.,*__Yang J.Y.__(2012) Air Quality Modelling using Support Vector Machines,*Journal of Control Science and Engineering*, Article ID 518032, 11 pages, 2012. DOI: 10.1155/2012/518032.*(SCI-E)**Wong, P.K.,*__Wong, H.C.,__**Vong, C.M.**(2012) Online time-sequence incremental and decremental least squares support vector Machines for Engine Air-ratio Prediction,*International**Journal of Engine Research, Vol. 13(No. 1), pp. 28-40.**(SCI-E)**Wong, P. K., Xu, Q. S.,***Vong, C. M.**, &*Wong, H. C.*(2012) Rate-Dependent Hysteresis Modeling and Control of a Piezostage Using Online Support Vector Machine and Relevance Vector Machine.*IEEE Transactions on Industrial Electronics, Vol. 59(No. 4), pp. 1988-2001.**(SCI-E)***Vong, C.M.**,*Wong, P.K., Ip, W. I.*(2011). Case-based Expert System using Wavelet Packet Transform and Kernel-based Feature Manipulation for Engine Ignition System Diagnosis.*Engineering Applications of Artificial Intelligence, Vol. 24 (No. 7), pp. 1281-1294.**(SCI-E)***Vong, C.M.**,*Wong, P.K.*(2011). Engine Ignition Diagnosis with Wavelet Packet Transform and Multi-class Least Squares Support Vector Machines.*Expert Systems with Applications, Vol. 38 (No.7), pp.8563-8670.**(SCI-E)***Vong, C. M.**,*Wong, P. K., Tam, L. M.,*&__Zhang, Z.Y.__(2011) Ignition Pattern Analysis for Automotive Engine Trouble Diagnosis using Wavelet Packet Transform and Support Vector Machines.*Chinese Journal of Mechanical Engineering, Vol. 24 (No.5), pp. 870-878.**(SCI-E)***Vong, C. M.**,*Wong, P. K., & Ip, W. F.*(2010). Support Vector Classification using Domain Knowledge and Extracted Pattern Features for Diagnosis of Engine Ignition Systems.*Journal of the Chinese Society of Mechanical Engineers, Vol. 31(No. 5). pp. 363-374.**(SCI-E)***Vong, C.M.**,*Wong, P.K., Ip, W. F.*(2010). Engine Ignition System Diagnosis using Case-based Reasoning Enhanced with Wavelet Packet Transform and Clustering.*Information, Vol. 13(No. 6), pp.2081-2092, NOV, 2010.**(SCI-E)***Vong, C.M.**,*Wong, P.K.*(2010). Case-based Adaptation for Automotive Engine Electronic Control Unit Calibration.*Expert Systems with Applications, Vol. 37 (No.4), pp.3184-3194.**(SCI-E)**Wong, P. K., Tam, L. M.,*__Li, K,__&**Vong, C.M.**(2010). Engine Idle-Speed System Modelling and Control Optimization Using Artificial Intelligence.*Proceedings of the Institution of Mechanical Engineers, Part D, Journal of Automobile Engineering, Vol. 224 (No.1), pp.55-72.**(EI) Wong, P. K.*,**Vong, C.M.**,*Tam, L. M.,*&__Li, K.__(2008). Data preprocessing and modelling of electronically-controlled automotive engine power performance using kernel principal components analysis and least squares support vector machines.*International Journal of Vehicle Systems Modelling and Testing, Vol. 3*(*No.**4*), pp. 312-330.*(SCI-E)***Vong, C.M.**,*Wong ,P.K., & Li, Y.P.*(2006). Prediction of Automotive Engine Power and Torque Using Least Squares Support Vector Machines and Bayesian Inference.*Engineering Application of Artificial Intelligence (EAAI), Vol. 19(No.3)*, pp. 227-297.**Vong, C.M.**,*Wong, P.K., Li, Y.P.*&__Ho, C.M.__(2005). Modelling of Modern Automotive Petrol Engine*(SCI-E)*Performance Using Support Vector Machines.*Journal of Zhejiang University SCIENCE A (JZUS A) – An International Journal, Vol. 6A (no.1)*, pp. 1-8.*(SCI-E)***Vong, C.M.**, Leung T.P., &*Wong, P.K.*(2002). Case-based Reasoning and Adaptation in Hydraulic Production Machine Design.*Engineering Application of Artificial Intelligence (EAAI), Vol. 15(No.1)*, pp. 567-585.**Vong, C.M.**,*Wong, P.K., Li, Y.P.*(2003). Impact of Internet Cafes on Macao Youth.*Journal of Youth Studies*, Vol.6 (No.2), pp. 103-107.**Vong, C.M.**,*Li, Y.P.*,*Wong, P.K., Mak, P.U. & Vai, M.I.*(2002). The application of Case-based Reasoning in Macau.*Journal of Macau Research Studies, Vol. 15*, pp. 231- 248.

**Accepted and in press**

**2018**

**2017**

**2016**

**2015**

**2014**

**2013**

**2012**

**2011**

**2010**

**2009 and before**

Conference Papers (Since 2002 - present)

- M. Fu,
__C.M. Wong__, H. Zhu, Y.J. Huang, Y.P. Li, X. Zheng, J. Wu,**C.M. Vong**, J. Yang, DAliM: Machine Learning Based Intelligent Lucky Money Determination for Large-Scale E-Commerce

Businesses,*Proceedings of the 16th International Conference on Service-Oriented Computing (ICSOC 2018)*, Accepted and in press. *P.K. Wong*,__W. Huang__, K.I. Wong,**C.M. Vong**, Adaptative Control of Vehicle Yaw Rate with Active Steering System and Extreme Learning Machine – A Pilot Study, Proceedings of The 8th International Conference on Extreme Learning Machines, Yantai, China, 2017 (In press).__J. Du,__**C.M. Vong**,__Y. Chang__,__Y. Jiao__, Online Sequential Extreme Learning Machine with Under-Sampling and Over-Sampling for Imbalanced Big Data Classification,*Proceedings of the International Conference on Extreme Learning Machine 2016 (ELM2016)*, pp. 229-239, Singapore, December, 2016.**Vong, C.M.,***Wong, P.K.*,__Ma, Z.Q.,____Wong, K.I.__(2014). Application of RFID Technology and the Maximum Spanning Tree Algorithm for Solving Vehicle Emissions in Cities on Internet of Things. In*Proceedings of IEEE World Forum on Internet of Things (WF-IoT) 2014*, pp. 347-352, Seoul, Korea, March, 2014.**Vong, C.M.,***Wong, P.K.,*__Wong, K.I.,____Ma, Z.Q.__(2013). Inspection and Control of Vehicle Emissions through Internet of Things and Traffic Lights.*In Proceedings of 2013 International Conference on Connected Vehicles & Expo*, pp. 863-868, Las Vegas, Nevada, USA, December, 2013.__Wong, H.C.__*, Wong, P.K.*,**Vong, C.M.,***Xie, Z.C.*,__Huang, S.J__. (2013). Model Predictive Fuzzy Control of Air-ratio for Automotive Engines.*Proceedings of the International Conference on Aerospace, Mechanical, Automotive and Materials Engineering (ICMAME 2013)*, pp.164-169, Venice, Italy, April, 2013.*Wong, P.K.,*__Wong, H.C.,__**Vong, C.M.**(2012). Modelling and Prediction of Automotive Engine Air-ratio Using Relevance Vector Machine.*Proceedings of the 12th Conference on Control, Automation, Robotics and Vision (ICARCV 2012),*pp. 1710-1715, Guangzhou, China, December, 2012.*Wong, P.K.*,**Vong, C.M.**,*Ip, W.F.,*__Wong H.C.__(2012). Preliminary Study on Telemetric Vehicle Emission Examination,*Lecture Notes in Electrical Engineering*113 LNEE, pp. 443-451, 2012.*Wong, P.K.,***Vong, C.M.,**__Zhang, Z.Y__.,*Xu, Q.S*. (2011). Fault diagnosis of automotive engines using fuzzy relevance vector machine,*Communications in Computer and Information Science*164 CCIS, pp. 213-220, 2011.**Vong, C.M.,***Wong, P.K., Ip, W.F., Yang, Z.X.*(2011), Case-based design for hydraulic power circuit,*Communications in Computer and Information Science*163 CCIS, pp. 269-275.**Vong, C.M.,***Wong, P.K., Ip, W.F.*(2011), Simultaneous Faults Diagnosis for Automotive Ignition Patterns,*Proceedings of the 2011 International Conference on Machine Learning and Cybernetics*, Vol. 3, IEEE press, pp.1324-1330, Guilin, China, July, 2011.__Yang, J.Y.__,*Ip, W.F.,***Vong, C.M.**and*Wong, P.K.*, (25/06/2011) Effect of Choice of Kernel in Support Vector Machines on Ambient Air Pollution Forecasting,*Proceedings of 2011 International Conference on System Science and Engineering (ICSSE 2011)*, Published by IEEE, pp. 552-557, Macau, June 2011.**Vong, C.M.**,*Wong, P.K., Ip, W.F.*, (25/06/2011) Framework of Vehicle Emission Inspection and Control Through RFID and Traffic Lights,*Proceedings of 2011 International Conference on System Science and Engineering (ICSSE 2011)*, Published by IEEE, pp. 597-600, Macau, June 2011.*Wong, P.K.,***Vong, C.M.**,*Ip, W.F*. (21/05/2010). Modelling of Petrol Engine Power using Incremental Least-Square Support Vector Machines for ECU calibration. 2010*International Conference on Optoelectronics and Image Processing (ICOIP)*, pp. 12 – 15, Hainan, China, 2010.**Vong, C.M.**,*Wong, P. K., & Ip W. F.*(18/08/2010). Case-based Classification System with Clustering for Automotive Engine Spark Ignition Diagnosis.*IEEE/ACIS 9th International Conference on Computer and Information Science (ICIS),*pp. 17 – 22, Yamgata, Japan, 2010.*Ip, W.F.,***Vong, C.M.**,*Wong, P.K*. (18/08/2010). Least Squares Support Vector Machines for Daily Ambient Air Pollution Forecasting*.**IEEE/ACIS 9th International Conference on Computer and Information Science (ICIS)*, pp. 23 – 28, Yamagata, Japan, 2010.*Wong, P.K.,*__Wong, H.C.__,**Vong, C.M.**,*Ip, W.F.*(18/08/2010). Predictive Air-Ratio Controller for Automotive Engines Based on Online Neural Network: Design and Experimental Evaluation.*IEEE/ACIS 9th International Conference on Computer and Information Science (ICIS)*, pp. 275 – 279, Yamagata, Japan, 2010.**Vong, C.M.**,__Huang, H.__, &*Wong, P. K.*(20/06/2010). Engine Spark Ignition Diagnosis with Wavelet Packet Transform and Case-based Reasoning.*IEEE International Conference on Information and Automation (ICIA),*pp. 565 – 570, Heilongjiang, China, 2010.*Ip, W.F.,***Vong, C. M.**,__Yang, J. Y.__(20/06/2010). Forecasting Daily Ambient Air Pollution Based on Least Squares Support Vector Machines*.**IEEE International Conference on Information and Automation (ICIA)*, pp. 571 – 575, Heilongjiang, China, 2010.*Wong, P.K.,***Vong, C.M.**,__Wong, H.C.__,__Li, K.__(2/12/2009) Modelling and Prediction of Spark-ignition Engine Power Performance using Incremental Least Squares Support Vector Machines.*Proceedings of the 2nd International Symposium on Computational Mechanics and the 12th International Conference on Enhancement and Promotion of Computational Methods in Engineering and Science*, pp.179 – 184, Hong Kong & Macao, 2009.**Vong, C.M.**,__Huang, H.,__*Wong, P.K.*(2/12/2009). Case-based Reasoning for Automotive Engine Performance Tune-up.*Proceedings of the 2nd International Symposium on Computational Mechanics and the 12th International Conference on Enhancement and Promotion of Computational Methods in Engineering and Science*, pp. 185 –190, Hong Kong & Macao, 2009.__Huang, H.,__**Vong, C.M.**and*Wong, P.K.*(2/12/2009). Signal Analysis of Automotive Engine Spark Ignition System using Case-based reasoning (CBR) and Case-based Maintenance (CBM).*Proceedings of the 2nd International Symposium on Computational Mechanics and the 12th International Conference on Enhancement and Promotion of Computational Methods in Engineering and Science*, pp. 459 – 464, Hong Kong & Macao, 2009.**Vong, C.M.**,*Wong, P. K.,*&__Huang, H.__(22/06/2009). Case-based Reasoning for Automotive Engine Electronic Control Unit Calibration.*IEEE International Conference on Information and Automation (ICIA)*, pp. 1380 – 1385, Zhuhai, China, 2009.**Vong, C.M.**,*Wong, P. K.,*&__Zhang R.__(22/06/2009). Incremental Modelling of Automotive Engine Performance using LS-SVM.*IEEE International Conference on Information and Automation (ICIA)*, pp. 1537 – 1540, Zhuhai, China, 2009.*Wong, P. K.,*__Mok, K.W.__, &**Vong, C.M.**(10/2008). Design and Control of an Electromechanical Variable Rotary Valve System for Four-stroke Engines.*Proceedings of AVEC '08*, pp. 887 – 892, Kobe, Japan.**Vong, C.M.**,*Wong, P. K.*,__Li, K.,__&__Zhang, R.__(10/2008). A Study on Online LS-SVM for Modelling of Electronically-controlled Automotive Engine Performance.*Proceedings of AVEC '08*, pp. 905 – 910, Kobe, Japan.*Wong, P. K., Tam, L.M.*,**Vong, C.M.**, &__Li, K.__(12/2006). Modelling and Prediction of Automotive Engine Specific Fuel Consumption Using Support Vector Machines.*Symposium on City Energy Technology*. Macao.**Vong, C.M.**,*Wong, P.K., Tam L.M.*&__Li, K.__(2006). Preprocessing of Automotive Engine ECU Data.*Proceedings of the 4th Regional Inter-University Postgraduate Electrical and Electronics Engineering Conference (RIUPEEEC 2006),*Macao.*Wong, P. K., Tam, L.M.*,**Vong, C.M.,**&__Li, K.__(12/2006). Modelling and Prediction of Automotive Engine Specific Fuel Consumption Using Support Vector Machines.*Symposium on City Energy Technology*. Macao.*Wong, P.K.*,**Vong, C.M.**,__Ho, C.M.__, &*Li, Y.P.*(2004). Prediction of Automotive Engine Power and Torque Using Support Vector Machines.*Proceedings of Symposium on Applied Science and Technology in Macau 2004*, Macao.*Wong, P.K.,***Vong, C.M.,**__Ho, C.M.,__&*Li, Y.P.*(2004). Prediction of Automotive Engine Power and Torque Using Support Vector Machines.*Proceedings of Symposium on Applied Science and Technology in Macau 2004*, Macao.**Vong, C.M.,**__Chan I.W.__,__Chang, C.P.__, &__Leong, W.K.__(2004). Data__Pre-processing__for Automotive Engine Tune-up.*Proceedings of Symposium on Applied Science and Technology in Macau 2004*, Macao.**Vong, C.M.**,__Chan I.W.__,__Chang, C.P.__, &__Leong, W.K__. (2004). Data__Post-processing__for Automotive Engine Tune-up.*Proceedings of Symposium on Applied Science and Technology in Macau 2004*, Macao.**Vong, C.M.**,*Wong, P.K., & Li, Y.P.*(2003). Neural Networks in Automotive Engine Tuning.*Proceedings of EPMESC IX – Computational Methods in Engineering and Science*, Macao.**Vong, C.M.**,*Wong, P.K., & Li, Y.P.*(2003). Case-based Reasoning in Airpot Terminal Planning.*Proceedings of EPMESC IX – Computational Methods in Engineering and Science*, Macao.**Vong, C.M.**,*Li, Y.P., & Wong, P.K.*(2003). Knowledge Acquisition Through Case-based Adaptation for Hydraulic Power Machine Design.*Proceedings of 5th International Conference on Enterprise Information Systems (ICEIS),*Angers, France.**Vong, C.M.**,*Wong, P.K., & Li, Y.P.*(2002). Automotive Engine Tuning with Data Mining Techniques.*Proceedings of Symposium on Technological Innovation in Macau 2002*, Macao.

Book/Chapter Contributions (Since 2002 - present)

- Lendasse, A.,
**Vong, C.M.**, Toh, K.A., Huang, G.B. Advances in Extreme Learning Machines (ELM2015), SI of*Neurocomputing*, Elsevier, 2017. __Wong, H.C.__*, Wong, P.K.,***Vong, C.M.,***Xie, Z.C.,*__Huang, S.J.__(2013). Model Predictive Fuzzy Control of Air-ratio for Automotive Engines,*World Academy of Science, Engineering and Technology*, 2013, Published by World Academy of Science, Engineering and Technology, Issue 75, pp. 939-944, 2013 (pISSN: 2010-376X. eISSN: 2010-3778), Published by World Academy of Science, Engineering and Technology.*Wong, P.K.,***Vong, C.M.**,*Ip, W.F., and*__Wong, H.C.__(2012). Preliminary Study on Telemetric Vehicle Emission Examination,*Green Communications and Networks,*Yang, Y. and Ma, M. (Eds.), Lecture Notes in Electrical Engineering, Vol. 113, Chapter 53, pp.443- 451, 2012, (ISSN: 1876-1100. ISBN: 978-94-007-2168-5), Springer.**Vong, C.M.**,*Wong, P. K., Ip, W. F., Yang, Z. X.*(2011). Case-based Design for Hydraulic Power Circuit*s.*In Y. Wu (Ed.),*Theoretical and Mathematical Foundations of Computer Science, Vol. 163 Communications in Computer and Information Science, pp. 269-275*: Springer (Blindly referred).*Wong, P.K.,***Vong, C.M.**,__Zhang, Z.,__*Xu, Q.*(2011).Fault diagnosis of automotive engines using fuzzy relevance vector machine*.*In Q. Zhou (Ed.)*,**High Performance Networking, Computing, and Communication Systems, Vol. 164 Communications in Computer and Information Science, pp. 213-220*: Springer (Blindly referred).- Chui, S.P.,
*Li, Y.P., Wong, P.K.*,**Vong, C.M.,**Yang, Z.X. (2006).*Pan-Pearl River Delta Central Cities Regional Cooperation & Development in SciTech Advisory Forum 2006- Proceedings of Symposium on City Energy Technology*, Published by The Association for Promotion of Science & Technology of Macau, 2006. **Vong, C.M.,***Wong, P.K.*&*Li, Y.P*. (2005). Data Transformation in Modern Petrol Engine Tune-up. In Nakamatsu K., & Abe, J.M. (Eds.),*Advances in Logic Based Intelligent Systems (Selected Papers of LAPTEC 2005), Vol. 132, Series in Frontiers in Artificial Intelligence and Applications*: IOS Press. ISBN 1-58603-568-1.*Wong, P.K.*,**Vong, C.M.**, &*Li, Y.P.*(2005). Modelling and Prediction of Electronically Controlled Automotive Engine Power and Torque Using Support Vector Machines. In Nakamatsu K., & Abe, J.M. (Eds.),*Advances in Logic Based Intelligent Systems (Selected Papers of LAPTEC 2005), Vol. 132, Series in Frontiers in Artificial Intelligence and Applications*: IOS Press. ISBN 1-58603-568-1.*Iu, V.P.,*Chui, S.P.,*Wong, P.K.*&**Vong, C.M.**(Eds.) (2004).*Symposium Proceedings of Applied Science and Technology Development in Macau 2004.*Macao: The Association for Promotion of Science & Technology of Macau, and University of Macau.- Chui, S.P.,
*Li, Y.P.,**Wong, P.K.*&**Vong, C.M.**(Eds.) (2002).*Symposium Proceedings of Technological Innovation in Macau 2002.*Macao: The Association for Promotion of Science & Technology of Macau, and University of Macau.

Professional Affiliations

(2013 – Now)*IEEE Senior Member*, Macau Association of Promotion of Science and Technology (澳門科學技術協進會), (2006 – present)*Treasurer*, Macau Association of Promotion of Science and Technology (澳門科學技術協進會), (2000 – 2006)*Secretary-general*, Association of Youths of Hainan Province, China (中國海南省青年聯合會, 澳門區委員) (2005-2010)*Member*(*Macau Representative*)

Professional and University Services

of Department of Computer and Information Science (2016 – Now).*Associate Head*of student admission (BSc, MSc, PhD) to CIS program (2014 to now).*Panel Chair*of*Associate Editor**Neurocomputing*(SCI-E, JCR 2016 IF: 3.317) (2018 – Now).of*Guest editor**Neurocomputing*(SCI-E) on Special Issue of ELM2014, ELM2015, ELM2016, ELM2017.of*Guest editor**International Journal of Advanced Robotic Systems*(SCI-E) 2014.of*Competition co-chair**International Conference on Extreme Learning Machines*2014.of*Program Committee co-chair**International Conference on Extreme Learning Machines*2013, 2016.

Software Download

The following software were developed under the support of the University of Macau and are for academic use only.

a) SBELM

This toolbox includes MATLAB code for

- Sparse Bayesian Extreme Learning Machine (SBELM) for multi-class classification
- Bayesian Extreme Learning Machine (BELM) for multi-class classification

For any bugs of the toolbox, please send to cmvong.

Disclaimer: Any personal or academic use of this toolbox should cite the following paper. For any commercial use of this toolbox, please contact us at cmvong for permission.

Jiahua Luo, Chi Man Vong, and Pak Kin Wong (2014), "Sparse Bayesian Extreme Learning Machine for Multi-classification", IEEE Transactions on Neural Networks and Learning Systems, Vol. 25(4), pp. 836-843, 2014.

The toolbox can be downloaded here.

b) ML-KELM

This toolbox includes MATLAB code for

- Multi-layer Kernel Extreme Learning Machine for Auto-Encoder

For any bugs of the toolbox, please send to cmvong.

Disclaimer: Any personal or academic use of this toolbox should cite the following paper. For any commercial use of this toolbox, please contact us at cmvong for permission.

Chi Man Wong, Chi Man Vong, Pak Kin Wong, Jiuwen Cao (2017), "Kernel-based Multi-layer Extreme Learning Machine for Representation Learning", IEEE Transactions on Neural Networks and Learning Systems, accepted manuscript for publication in 2017.

The toolbox can be downloaded here.

Contact Details

Faculty of Science and Technology

University of Macau, E11

Avenida da Universidade, Taipa,

Macau, China

Room: E11-4013

Telephone: (853) 8822-4357

Fax: (853) 8822-2426

Email: cmvong