Chong Jin Ong

2008
17	EE	Chen Wang, Chong Jin Ong, Melvyn Sim: Constrained linear system with disturbance: Convergence under disturbance feedback. Automatica 44(10): 2583-2587 (2008)
16	EE	Kai Quan Shen, Chong Jin Ong, Xiao Ping Li, Einar P. V. Wilder-Smith: Feature selection via sensitivity analysis of SVM probabilistic outputs. Machine Learning 70(1): 1-20 (2008)
2006
15	EE	Chee-Kong Chui, Swee-Hin Teoh, Chong Jin Ong, James H. Anderson, Ichiro Sakuma: Integrative Modeling of Liver Organ for Simulation of Flexible Needle Insertion. ICARCV 2006: 1-6
14	EE	Kai Quan Shen, Chong Jin Ong, Xiao Ping Li, Hui Zheng, Einar P. V. Wilder-Smith: Feature Selection Using SVM Probabilistic Outputs. ICONIP (1) 2006: 782-791
13	EE	Chong Jin Ong, D. Sui, Elmer G. Gilbert: Enlarging the terminal region of nonlinear model predictive control using the support vector machine method. Automatica 42(6): 1011-1016 (2006)
12	EE	Chong Jin Ong, Elmer G. Gilbert: The minimal disturbance invariant set: Outer approximations via its partial sums. Automatica 42(9): 1563-1568 (2006)
11	EE	L. J. Cao, S. Sathiya Keerthi, Chong Jin Ong, J. Q. Zhang, U. Periyathamby, Xiu Ju Fu, H. P. Lee: Parallel sequential minimal optimization for the training of support vector machines. IEEE Transactions on Neural Networks 17(4): 1039-1049 (2006)
10	EE	L. J. Cao, S. Sathiya Keerthi, Chong Jin Ong, P. Uvaraj, Xiu Ju Fu, H. P. Lee: Developing parallel sequential minimal optimization for fast training support vector machine. Neurocomputing 70(1-3): 93-104 (2006)
2003
9	EE	Min Shi, David S. Edwin, Rakesh Menon, Lixiang Shen, Jonathan Y. K. Lim, Han Tong Loh, S. Sathiya Keerthi, Chong Jin Ong: A Machine Learning Approach for the Curation of Biomedical Literature. ECIR 2003: 597-604
8	EE	Wei Chu, S. Sathiya Keerthi, Chong Jin Ong: Bayesian Trigonometric Support Vector Classifier. Neural Computation 15(9): 2227-225 (2003)
2002
7	EE	S. Sathiya Keerthi, Chong Jin Ong, Keng Boon Siah, David B. L. Lim, Wei Chu, Min Shi, David S. Edwin, Rakesh Menon, Lixiang Shen, Jonathan Y. K. Lim, Han Tong Loh: A Machine Learning Approach for the Curation of Biomedical Literature - KDD Cup 2002 (Task 1). SIGKDD Explorations 4(2): 93-94 (2002)
2001
6		Wei Chu, S. Sathiya Keerthi, Chong Jin Ong: A Unified Loss Function in Bayesian Framework for Support Vector Regression. ICML 2001: 51-58
1999
5		S. Sathiya Keerthi, Chong Jin Ong, Eugene Huang, Elmer G. Gilbert: EquiDistance Diagram: A New Roadmap Method for Path Planning. ICRA 1999: 682-687
1998
4		Chong Jin Ong, Eugene Huang: An Incremental Version of Growth Distance. ICRA 1998: 3671-3677
1997
3		Chong Jin Ong: On the Quantification of Penetration between General Objects. I. J. Robotic Res. 16(3): 400-409 (1997)
1994
2		Chong Jin Ong, Elmer G. Gilbert: Robot Path Planning with Penetration Growth Distance. ICRA 1994: 2146-2152
1		Elmer G. Gilbert, Chong Jin Ong: New Distances for the Separation and Penetration of Objects. ICRA 1994: 579-586

Coauthor Index

1	James H. Anderson	[15]
2	L. J. Cao	[10] [11]
3	Wei Chu	[6] [7] [8]
4	Chee-Kong Chui	[15]
5	David S. Edwin	[7] [9]
6	Xiu Ju Fu	[10] [11]
7	Elmer G. Gilbert	[1] [2] [5] [12] [13]
8	Eugene Huang	[4] [5]
9	S. Sathiya Keerthi	[5] [6] [7] [8] [9] [10] [11]
10	H. P. Lee	[10] [11]
11	Xiao Ping Li	[14] [16]
12	David B. L. Lim	[7]
13	Jonathan Y. K. Lim	[7] [9]
14	Han Tong Loh	[7] [9]
15	Rakesh Menon	[7] [9]
16	U. Periyathamby	[11]
17	Ichiro Sakuma	[15]
18	Kai Quan Shen	[14] [16]
19	Lixiang Shen	[7] [9]
20	Min Shi	[7] [9]
21	Keng Boon Siah	[7]
22	Melvyn Sim	[17]
23	D. Sui	[13]
24	Swee-Hin Teoh	[15]
25	P. Uvaraj	[10]
26	Chen Wang	[17]
27	Einar P. V. Wilder-Smith	[14] [16]
28	J. Q. Zhang	[11]
29	Hui Zheng	[14]

Colors in the list of coauthors