Inspection and control of vehicle emissions through Internet of Things and traffic lights. - Chi-Man Vong; Pak-Kin Wong 001; Ka In Wong; Zi-Qian Ma (ICCVE, 2013)

Modelling of diesel engine performance using advanced machine learning methods under scarce and exponential data set. - Ka In Wong; Pak-Kin Wong 001; Chun Shun Cheung; Chi-Man Vong (Appl. Soft Comput., 2013)

Application of RFID technology and the maximum spanning tree algorithm for solving vehicle emissions in cities on Internet of Things. - Chi-Man Vong; Pak-Kin Wong 001; Zi-Qian Ma; Ka In Wong (WF-IoT, 2014)

Simultaneous-fault detection based on qualitative symptom descriptions for automotive engine diagnosis. - Chi-Man Vong; Pak-Kin Wong 001; Ka In Wong (Appl. Soft Comput., 2014)

Sparse Bayesian extreme learning machine and its application to biofuel engine performance prediction. - Ka In Wong; Chi-Man Vong; Pak-Kin Wong 001; Jiahua Luo (Neurocomputing, 2015)

An Analytical Study on Reasoning of Extreme Learning Machine for Classification from Its Inductive Bias. - Pak-Kin Wong 001; Xiang Hui Gao; Ka In Wong; Chi-Man Vong (Cogn. Comput., 2016)

Adaptive control of rapidly time-varying discrete-time system using initial-training-free online extreme learning machine. - Xiang Hui Gao; Ka In Wong; Pak-Kin Wong 001; Chi-Man Vong (Neurocomputing, 2016)

Online extreme learning machine based modeling and optimization for point-by-point engine calibration. - Pak-Kin Wong 001; Xiang Hui Gao; Ka In Wong; Chi-Man Vong (Neurocomputing, 2018)

Efficient point-by-point engine calibration using machine learning and sequential design of experiment strategies. - Pak-Kin Wong 001; Xiang Hui Gao; Ka In Wong; Chi-Man Vong (J. Frankl. Inst., 2018)

Initial-training-free online sequential extreme learning machine based adaptive engine air-fuel ratio control. - Pak-Kin Wong 001; Xiang Hui Gao; Ka In Wong; Chi-Man Vong; Zhi-Xin Yang 001 (Int. J. Mach. Learn. Cybern., 2019)