| 2016 | ICML | Fast Rate Analysis of Some Stochastic Optimization Algorithms. | Chao Qu, Huan Xu, Chong Jin Ong |
| 2010 | ICARCV | Speed optimization for micropipette motion during zebrafish embryo microinjection. | Shengfeng Zhou, Peter C. Y. Chen, Zhe Lu, Joo Hoo Nam, Hong Luo, Ruowen Ge, Chong Jin Ong, Wei Lin |
| 2010 | KDD | Feature selection for support vector regression using probabilistic prediction. | Jian-Bo Yang, Chong Jin Ong |
| 2008 | SMC | Anti-windup design using auxiliary input for constrained linear systems. | Masood Dehghan, Chong Jin Ong, Peter C. Y. Chen |
| 2008 | SMC | Automatic identification and removal of artifacts in EEG using a probabilistic multi-class SVM approach with error correction. | Shiyun Shao, Kai Quan Shen, Chong Jin Ong, Xiaoping Li, Einar P. V. Wilder-Smith |
| 2008 | SMC | Novel multi-class feature selection methods using sensitivity analysis of posterior probabilities. | Kai Quan Shen, Chong Jin Ong, Xiaoping Li, Einar P. V. Wilder-Smith |
| 2008 | SMC | Feature selection via sensitivity analysis of MLP probabilistic outputs. | Jian-Bo Yang, Kai Quan Shen, Chong Jin Ong, Xiaoping Li |
| 2007 | ACC | Interpolated Model Predictive Controller for Linear Systems with Bounded Disturbances. | Dan Sui, Chong Jin Ong |
| 2007 | ACC | Computation of Polytopal Invariant Sets of PWL Systems with Bounded Disturbances. | Dan Sui, Chong Jin Ong |
| 2006 | ICARCV | Integrative Modeling of Liver Organ for Simulation of Flexible Needle Insertion. | Chee-Kong Chui, Swee-Hin Teoh, Chong Jin Ong, James H. Anderson, Ichiro Sakuma |
| 2006 | ICARCV | Outer Approximation of the Minimal Disturbance Invariant Set of PWL Systems with Bounded Disturbances. | Dan Sui, Chong Jin Ong |
| 2006 | ICONIP | Feature Selection Using SVM Probabilistic Outputs. | Kai Quan Shen, Chong Jin Ong, Xiaoping Li, Hui Zheng, Einar P. V. Wilder-Smith |
| 2004 | IJCNN | Extracting the knowledge embedded in support vector machines. | Xiuju Fu, Chong Jin Ong, Sathiya Keerthi, Gih Guang Hung, Li Ping Goh |
| 2003 | ECIR | A Machine Learning Approach for the Curation of Biomedical Literature. | Min Shi, David S. Edwin, Rakesh Menon, Lixiang Shen, Jonathan Y. K. Lim, Han Tong Loh, S. Sathiya Keerthi, Chong Jin Ong |
| 2001 | ICML | A Unified Loss Function in Bayesian Framework for Support Vector Regression. | Wei Chu, S. Sathiya Keerthi, Chong Jin Ong |
| 1999 | ICRA | EquiDistance Diagram: A New Roadmap Method for Path Planning. | S. Sathiya Keerthi, Chong Jin Ong, Eugene Huang, Elmer G. Gilbert |
| 1998 | ICRA | An Incremental Version of Growth Distance. | Chong Jin Ong, Eugene Huang |
| 1997 | ICRA | The Gilbert-Johnson-Keerthi distance algorithm: a fast version for incremental motions. | Chong Jin Ong, Elmer G. Gilbert |
| 1996 | ICRA | Distance computation between smooth convex objects. | Chong Jin Ong |
| 1994 | ICRA | New Distances for the Separation and Penetration of Objects. | Elmer G. Gilbert, Chong Jin Ong |
| 1994 | ICRA | Robot Path Planning with Penetration Growth Distance. | Chong Jin Ong, Elmer G. Gilbert |