Chong Jin Ong
Chong Jin Ong
Associate Professor of Mechanical Engineering, National University of Singapore
Verified email at - Homepage
Cited by
Cited by
Spiral microchannel with rectangular and trapezoidal cross-sections for size based particle separation
G Guan, L Wu, AA Bhagat, Z Li, PCY Chen, S Chao, CJ Ong, J Han
Scientific reports 3 (1), 1475, 2013
EEG-based mental fatigue measurement using multi-class support vector machines with confidence estimate
KQ Shen, XP Li, CJ Ong, SY Shao, EPV Wilder-Smith
Clinical neurophysiology 119 (7), 1524-1533, 2008
Parallel sequential minimal optimization for the training of support vector machines
LJ Cao, SS Keerthi, CJ Ong, JQ Zhang, U Periyathamby, XJ Fu, HP Lee
Neural Networks, IEEE Transactions on 17 (4), 1039-1049, 2006
Automatic EEG artifact removal: a weighted support vector machine approach with error correction
SY Shao, KQ Shen, CJ Ong, EPV Wilder-Smith
IEEE Transactions on Biomedical Engineering 56 (2), 336-344, 2008
A feature selection method for multilevel mental fatigue EEG classification
KQ Shen, CJ Ong, XP Li, Z Hui, EPV Wilder-Smith
Biomedical Engineering, IEEE Transactions on 54 (7), 1231-1237, 2007
Bayesian support vector regression using a unified loss function
W Chu, SS Keerthi, CJ Ong
IEEE transactions on neural networks 15 (1), 29-44, 2004
Growth distances: New measures for object separation and penetration
CJ Ong, EG Gilbert
IEEE Transactions on Robotics and Automation 12 (6), 888-903, 1996
Estimator design for discrete-time switched neural networks with asynchronous switching and time-varying delay
D Zhang, L Yu, QG Wang, CJ Ong
IEEE Transactions on Neural Networks and Learning Systems 23 (5), 827-834, 2012
Device for laparoscopic or thoracoscopic surgery
A San Pang, CJ Ong, CK Chui
US Patent 8,409,076, 2013
An improved conjugate gradient scheme to the solution of least squares SVM
W Chu, CJ Ong, SS Keerthi
IEEE Transactions on neural networks 16 (2), 498-501, 2005
Feature Selection for MLP Neural Network: The use of Random Permutation of Probabilistic Outputs
JB Yang, KQ Shen, CJ Ong, XP Li
An efficient method for computing leave-one-out error in support vector machines with Gaussian kernels
MMS Lee, SS Keerthi, CJ Ong, D DeCoste
IEEE Transactions on Neural Networks 15 (3), 750-757, 2004
Pulse input sequences for residual vibration reduction
CL Teo, CJ Ong, M Xu
Journal of Sound and Vibration 211 (2), 157-177, 1998
Feature selection via sensitivity analysis of SVM probabilistic outputs
KQ Shen, CJ Ong, XP Li, EPV Wilder-Smith
Machine Learning 70, 1-20, 2008
Constrained linear systems with hard constraints and disturbances: An extended command governor with large domain of attraction
EG Gilbert, CJ Ong
Automatica 47 (2), 334-340, 2011
Extracting the knowledge embedded in support vector machines
X Fu, CJ Ong, S Keerthi, GG Hung, L Goh
2004 IEEE international joint conference on neural networks (IEEE Cat. No …, 2004
Fast versions of the Gilbert-Johnson-Keerthi distance algorithm: Additional results and comparisons
CJ Ong, EG Gilbert
IEEE transactions on robotics and automation 17 (4), 531-539, 2001
The Gilbert-Johnson-Keerthi distance algorithm: A fast version for incremental motions
CJ Ong, EG Gilbert
Proceedings of international conference on robotics and automation 2, 1183-1189, 1997
The minimal disturbance invariant set: Outer approximations via its partial sums
CJ Ong, EG Gilbert
Automatica 42 (9), 1563-1568, 2006
Distributed Model Predictive Control of Linear Discrete-Time Systems with Local and Global Constraints
W Zheming, CJ Ong
Automatica 81 (12), 2017
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