New Distances for the Separation and Penetration of Objects. - Elmer G. Gilbert; Chong Jin Ong (ICRA, 1994)

Distance computation between smooth convex objects. - Chong Jin Ong (ICRA, 1996)

Computation of penetration between smooth convex objects in three-dimensional space. - Chong Jin Ong (J. Field Robotics, 1996)

Growth distances: new measures for object separation and penetration. - Chong Jin Ong; Elmer G. Gilbert (IEEE Trans. Robotics Autom., 1996)

The Gilbert-Johnson-Keerthi distance algorithm: a fast version for incremental motions. - Chong Jin Ong; Elmer G. Gilbert (ICRA, 1997)

On the Quantification of Penetration between General Objects. - Chong Jin Ong (Int. J. Robotics Res., 1997)

An Incremental Version of Growth Distance. - Chong Jin Ong; Eugene Huang (ICRA, 1998)

Robot path planning with penetration growth distance. - Chong Jin Ong; Elmer G. Gilbert (J. Field Robotics, 1998)

EquiDistance Diagram: A New Roadmap Method for Path Planning. - S. Sathiya Keerthi; Chong Jin Ong; Eugene Huang; Elmer G. Gilbert (ICRA, 1999)

A fast growth distance algorithm for incremental motions. - Chong Jin Ong; Eugene Huang; Sun-Mog Hong (IEEE Trans. Robotics Autom., 2000)

A Unified Loss Function in Bayesian Framework for Support Vector Regression. - Wei Chu; S. Sathiya Keerthi; Chong Jin Ong (ICML, 2001)

Fast versions of the Gilbert-Johnson-Keerthi distance algorithm: additional results and comparisons. - Chong Jin Ong; Elmer G. Gilbert (IEEE Trans. Robotics Autom., 2001)

A Machine Learning Approach for the Curation of Biomedical Literature - KDD Cup 2002 (Task 1). - 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 (SIGKDD Explor., 2002)

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 (ECIR, 2003)

Bayesian Trigonometric Support Vector Classifier. - Wei Chu; S. Sathiya Keerthi; Chong Jin Ong (Neural Comput., 2003)

Extracting the knowledge embedded in support vector machines. - Xiuju Fu; Chong Jin Ong; Sathiya Keerthi; Gih Guang Hung; Li Ping Goh (IJCNN, 2004)

Stability regions for constrained nonlinear systems and their functional characterization via support-vector-machine learning. - Chong Jin Ong; S. Sathiya Keerthi; Elmer G. Gilbert; Z. H. Zhang (Autom., 2004)

Bayesian support vector regression using a unified loss function. - Wei Chu; S. Sathiya Keerthi; Chong Jin Ong (IEEE Trans. Neural Networks, 2004)

An efficient method for computing leave-one-out error in support vector machines with Gaussian kernels. - Martin M. S. Lee; S. Sathiya Keerthi; Chong Jin Ong; Dennis DeCoste (IEEE Trans. Neural Networks, 2004)

Outer Approximations of The Minimal Disturbance Invariant Set. - Chong Jin Ong; Elmer G. Gilbert (CDC/ECC, 2005)

An improved conjugate gradient scheme to the solution of least squares SVM. - Wei Chu; Chong Jin Ong; S. Sathiya Keerthi (IEEE Trans. Neural Networks, 2005)

Bayesian Support Vector Machines for Feature Ranking and Selection. - Wei Chu; S. Sathiya Keerthi; Chong Jin Ong; Zoubin Ghahramani (Feature Extraction, 2006)

Constrained linear systems with disturbances: enlargement of their maximal invariant sets by nonlinear feedback. - Chong-Jin Ong (ACC, 2006)

Multi-mode model predictive controller for constrained linear systems with bounded disturbances. - Dan Sui; Chong Jin Ong (ACC, 2006)

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 (ICARCV, 2006)

Outer Approximation of the Minimal Disturbance Invariant Set of PWL Systems with Bounded Disturbances. - Dan Sui; Chong Jin Ong (ICARCV, 2006)

Feature Selection Using SVM Probabilistic Outputs. - Kai Quan Shen; Chong Jin Ong; Xiaoping Li 003; Hui Zheng; Einar P. V. Wilder-Smith (ICONIP (1), 2006)

The minimal disturbance invariant set: Outer approximations via its partial sums. - Chong Jin Ong; Elmer G. Gilbert (Autom., 2006)

Enlarging the terminal region of nonlinear model predictive control using the support vector machine method. - Chong Jin Ong; Dan Sui; Elmer G. Gilbert (Autom., 2006)

Developing parallel sequential minimal optimization for fast training support vector machine. - Lijuan Cao; S. Sathiya Keerthi; Chong Jin Ong; P. Uvaraj; Xiuju Fu; H. P. Lee (Neurocomputing, 2006)

Parallel sequential minimal optimization for the training of support vector machines. - Lijuan Cao; S. Sathiya Keerthi; Chong Jin Ong; J. Q. Zhang; U. Periyathamby; Xiuju Fu; H. P. Lee (IEEE Trans. Neural Networks, 2006)

Interpolated Model Predictive Controller for Linear Systems with Bounded Disturbances. - Dan Sui; Chong Jin Ong (ACC, 2007)

Computation of Polytopal Invariant Sets of PWL Systems with Bounded Disturbances. - Dan Sui; Chong Jin Ong (ACC, 2007)

Model predictive control using affine disturbance feedback for constrained linear system. - Chen Wang; Chong Jin Ong; Melvyn Sim (CDC, 2007)

A Feature Selection Method for Multilevel Mental Fatigue EEG Classification. - Kai Quan Shen; Chong Jin Ong; Xiaoping Li 003; Hui Zheng; Einar P. V. Wilder-Smith (IEEE Trans. Biomed. Eng., 2007)

Constrained linear system under disturbance feedback: Convergence with probability one. - Chen Wang; Chong Jin Ong; Melvyn Sim (CDC, 2008)

Anti-windup design using auxiliary input for constrained linear systems. - Masood Dehghan; Chong Jin Ong; Peter C. Y. Chen (SMC, 2008)

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 003; Einar P. V. Wilder-Smith (SMC, 2008)

Novel multi-class feature selection methods using sensitivity analysis of posterior probabilities. - Kai Quan Shen; Chong Jin Ong; Xiaoping Li 003; Einar P. V. Wilder-Smith (SMC, 2008)

Feature selection via sensitivity analysis of MLP probabilistic outputs. - Jian-Bo Yang; Kai Quan Shen; Chong Jin Ong; Xiaoping Li 003 (SMC, 2008)

Constrained linear system with disturbance: Convergence under disturbance feedback. - Chen Wang; Chong Jin Ong; Melvyn Sim (Autom., 2008)

Feature selection via sensitivity analysis of SVM probabilistic outputs. - Kai Quan Shen; Chong Jin Ong; Xiaoping Li 003; Einar P. V. Wilder-Smith (Mach. Learn., 2008)

An extended command governor for constrained linear systems with disturbances. - Elmer G. Gilbert; Chong Jin Ong (CDC, 2009)

Linear systems with chance constraints: Constraint-admissible set and applications in predictive control. - Chen Wang; Chong Jin Ong; Melvyn Sim (CDC, 2009)

Distributed model predictive control of dynamically decoupled linear systems with coupled cost. - Chen Wang; Chong Jin Ong; Melvyn Sim (CDC, 2009)

Decomposition principle in model predictive control for linear systems with bounded disturbances. - Dan Sui; Le Feng; Morten Hovd; Chong Jin Ong (Autom., 2009)

Convergence properties of constrained linear system under MPC control law using affine disturbance feedback. - Chen Wang; Chong Jin Ong; Melvyn Sim (Autom., 2009)

A framework for multiple robust explicit MPC controllers for linear systems. - Dan Sui; Chong Jin Ong; Le Feng (Int. J. Control, 2009)

Automatic EEG Artifact Removal: A Weighted Support Vector Machine Approach With Error Correction. - Shiyun Shao; Kai Quan Shen; Chong Jin Ong; Einar P. V. Wilder-Smith; Xiaoping Li 003 (IEEE Trans. Biomed. Eng., 2009)

Feature Selection for MLP Neural Network: The Use of Random Permutation of Probabilistic Outputs. - Jian-Bo Yang; Kai Quan Shen; Chong Jin Ong; Xiaoping Li 003 (IEEE Trans. Neural Networks, 2009)

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 002 (ICARCV, 2010)

Feature selection for support vector regression using probabilistic prediction. - Jian-Bo Yang; Chong Jin Ong (KDD, 2010)

Distributed model predictive control of dynamically decoupled systems with coupled cost. - Chen Wang; Chong Jin Ong (Autom., 2010)

Model Predictive Control Using Segregated Disturbance Feedback. - Chen Wang; Chong Jin Ong; Melvyn Sim (IEEE Trans. Autom. Control., 2010)

An improved algorithm for the solution of the regularization path of support vector machine. - Chong Jin Ong; Shiyun Shao; Jianbo Yang (IEEE Trans. Neural Networks, 2010)

Enlarging domain of attraction of switched linear systems in the presence of saturation nonlinearity. - Masood Dehghan; Chong-Jin Ong; Peter C. Y. Chen (ACC, 2011)

Characterization and computation of robust invariant sets for switching systems under dwell-time consideration. - Masood Dehghan; Chong Jin Ong; Peter C. Y. Chen (CDC/ECC, 2011)

Discrete-time switched linear system with constraints: Characterization and computation of invariant sets under dwell-time consideration. - Masood Dehghan; Chong Jin Ong; Peter C. Y. Chen (CDC/ECC, 2011)

Constrained linear systems with hard constraints and disturbances: An extended command governor with large domain of attraction. - Elmer G. Gilbert; Chong Jin Ong (Autom., 2011)

Determination of Global Minima of Some Common Validation Functions in Support Vector Machine. - Jian-Bo Yang; Chong Jin Ong (IEEE Trans. Neural Networks, 2011)

Feature Selection Using Probabilistic Prediction of Support Vector Regression. - Jian-Bo Yang; Chong Jin Ong (IEEE Trans. Neural Networks, 2011)

Model Predictive Control with reduced number of variables for linear systems with bounded disturbances. - Chong Jin Ong (CDC, 2012)

Discrete-time switching linear system with constraints: Characterization and computation of invariant sets under dwell-time consideration. - Masood Dehghan; Chong Jin Ong (Autom., 2012)

Characterization and computation of disturbance invariant sets for constrained switched linear systems with dwell time restriction. - Masood Dehghan; Chong Jin Ong (Autom., 2012)

Exponential H∞ filtering for discrete-time switched singular systems with time-varying delays. - Dan Zhang 001; Li Yu 001; Qing-Guo Wang; Chong Jin Ong; Zheng-Guang Wu (J. Frankl. Inst., 2012)

Estimator Design for Discrete-Time Switched Neural Networks With Asynchronous Switching and Time-Varying Delay. - Dan Zhang 001; Li Yu 001; Qing-Guo Wang; Chong Jin Ong (IEEE Trans. Neural Networks Learn. Syst., 2012)

An Effective Feature Selection Method via Mutual Information Estimation. - Jian-Bo Yang; Chong Jin Ong (IEEE Trans. Syst. Man Cybern. Part B, 2012)

Consensus control of multi-agent system with constraint - the scalar case. - Chang Sun; Chong Jin Ong; Jacob K. White 001 (CDC, 2013)

Computations of mode-dependent dwell times for discrete-time switching system. - Masood Dehghan; Chong Jin Ong (Autom., 2013)

Corrections to: "Estimator Design for Discrete-Time Switched Neural Networks With Asynchronous Switching and Time-Varying Delay". - Dan Zhang 001; Li Yu 001; Qing-Guo Wang; Chong Jin Ong (IEEE Trans. Neural Networks Learn. Syst., 2013)

Reducing variables in Model Predictive Control of linear system with disturbances using singular value decomposition. - Chong Jin Ong; Zheming Wang (Syst. Control. Lett., 2014)

Distributed MPC of constrained linear systems with online decoupling of the terminal constraint. - Zheming Wang; Chong Jin Ong (ACC, 2015)

Characterization of switching sequences on system with dwell-time restriction for Model Predictive Control. - Chong Jin Ong; Zheming Wang; Masood Dehghan (CDC, 2015)

Distributed Model Predictive Control of linear discrete-time systems with coupled constraints. - Zheming Wang; Chong Jin Ong; Geok-Soon Hong (CDC, 2016)

Fast Rate Analysis of Some Stochastic Optimization Algorithms. - Chao Qu; Huan Xu 001; Chong Jin Ong (ICML, 2016)

Adaptive neural network control of uncertain MIMO nonlinear systems with input saturation. - Shengfeng Zhou; Mou Chen; Chong Jin Ong; Peter C. Y. Chen (Neural Comput. Appl., 2016)

Distributed MPC of constrained linear systems with time-varying terminal sets. - Zheming Wang; Chong Jin Ong (Syst. Control. Lett., 2016)

Model Predictive Control for Switching Systems With Dwell-Time Restriction. - Chong Jin Ong; Zheming Wang; Masood Dehghan (IEEE Trans. Autom. Control., 2016)

A fast dual gradient algorithm for distributed model predictive control with coupled constraints. - Zheming Wang; Chong Jin Ong (CDC, 2017)

Distributed Model Predictive Control of linear discrete-time systems with local and global constraints. - Zheming Wang; Chong Jin Ong (Autom., 2017)

Speeding up finite-time consensus via minimal polynomial of a weighted graph - A numerical approach. - Zheming Wang; Chong Jin Ong (Autom., 2018)

Accelerated Distributed MPC of Linear Discrete-Time Systems With Coupled Constraints. - Zheming Wang; Chong-Jin Ong (IEEE Trans. Autom. Control., 2018)

Consensus of Heterogeneous Systems with constraints in a Switching Network - A Governor Approach. - Chong Jin Ong; Djati Wibowo Djamari (CDC, 2019)

Computation of the maximal invariant set of linear systems with quasi-smooth nonlinear constraints. - Zheming Wang; Raphaël M. Jungers; Chong-Jin Ong (ECC, 2019)

Computation of the maximal invariant set of discrete-time systems subject to quasi-smooth non-convex constraints. - Zheming Wang; Raphaël M. Jungers; Chong-Jin Ong (CoRR, 2019)

Achieving output consensus of heterogeneous network of two dimensional agents via static diffusive controller. - Quanyi Liang; Chong-Jin Ong; Zhikun She (ACC, 2020)

A governor approach for consensus of heterogeneous systems with constraints under a switching network. - Chong Jin Ong; Djati Wibowo Djamari; Bonan Hou (Autom., 2020)

Consensus of Multi-agent System via Constrained Invariant Set of a class of Unstable System. - Chong Jin Ong; Bonan Hou (CoRR, 2020)

Consensus of heterogeneous multi-agent system with input constraints. - Chong-Jin Ong; Bonan Hou (Autom., 2021)

Computation of the maximal invariant set of discrete-time linear systems subject to a class of non-convex constraints. - Zheming Wang; Raphaël M. Jungers; Chong Jin Ong (Autom., 2021)

Consensus of Network of Unstable Homogeneous Linear Systems. - Chong Jin Ong; Ilayda Canyakmaz (CDC, 2022)

Consensus of Network of Homogeneous Agents with General Linear Dynamics. - Chong Jin Ong; Ilayda Canyakmaz (CoRR, 2022)

Output consensusability of network with two-dimensional heterogeneous linear agents via static diffusive output feedback. - Quanyi Liang; Chong-Jin Ong; Zhikun She (Syst. Control. Lett., 2022)

Circular Formation of General Linear Agents Using Output Feedback. - Yibo Gao; Chong Jin Ong (CDC, 2023)

Computation of invariant sets via immersion for discrete-time nonlinear systems. - Zheming Wang; Raphaël M. Jungers; Chong Jin Ong (Autom., 2023)

Consensus of heterogeneous multi-agent system in switching network using model predictive control. - Shibo Han; Chong Jin Ong (Syst. Control. Lett., 2025)