| 2025 | IJCNN | HSViT: Horizontally Scalable Vision Transformer. | Chenhao Xu, Chang-Tsun Li, Chee Peng Lim, Douglas C. Creighton |
| 2025 | SMC | Deep Q-Network for Optimising the Weights of Model Predictive Control-based Motion Cueing Algorithm. | Sari Al-Serri, Mohammad Reza Chalak Qazani, Shady M. K. Mohamed, Chee Peng Lim, Saeid Nahavandi, Houshyar Asadi |
| 2025 | SMC | DUO-Net: Joint End-to-End 2D Object Detection and Depth Estimation via Uncertainty-Aware Multitask Learning. | Fazal Ghaffar, Burhan Khan, Seyed Mohammad Jafar Jalali, Chee Peng Lim |
| 2025 | WISE | Hybrid Adaptive Resonance Theory Model for Online Noisy Data Classification. | Michael Shi, Jiao Yin, Hua Wang, Chee Peng Lim, Jinli Cao, Zhonglong Zheng |
| 2024 | SMC | Optimising Horizons in Model Predictive Control for Motion Cueing Algorithms Using Reinforcement Learning. | Sari Al-Serri, Mohammad Reza Chalak Qazani, Shady M. K. Mohamed, Adetokunbo Arogbonlo, Mohammed Al-Ashmori, Chee Peng Lim, Saeid Nahavandi, Houshyar Asadi |
| 2024 | SMC | A New Transmission Cause and Effect Analysis (TCEA) Approach to Risk Management for Non-Healthcare Context: A Case Study on COVID-19. | Yi Wen Kerk, Kai Meng Tay, Chian Haur Jong, Chee Shee Chai, Chee Peng Lim |
| 2023 | ICONIP | Measuring Cognitive Load: Leveraging fNIRS and Machine Learning for Classification of Workload Levels. | Mehshan Ahmed Khan, Houshyar Asadi, Thuong N. Hoang, Chee Peng Lim, Saeid Nahavandi |
| 2023 | ISCAS | Multi-Objective Spiking Neural Network for Optimal Wind Power Prediction Interval. | Yinsong Chen, Samson S. Yu, Jason K. Eshraghian, Chee Peng Lim |
| 2023 | SMC | A Development of Time-Varying Weight Model Predictive Control for Autonomous Vehicles. | Mohammad Reza Chalak Qazani, Houshyar Asadi, Arian Shajari, Zoran Najdovski, Chee Peng Lim, Saeid Nahavandi |
| 2022 | SMC | Implementation of the Grasshopper Optimisation Algorithm to Optimize Prediction and Control Horizons in Model Predictive Control-based Motion Cueing Algorithm. | Sari Al-Serri, Mohammad Reza Chalak Qazani, Houshyar Asadi, Mohammed Al-Ashmori, Adetokunbo Arogbonlo, Ahmad Abu Alqumsan, Shehab Alsanwy, Shady M. K. Mohamed, Chee Peng Lim, Saeid Nahavandi |
| 2022 | SMC | Biogeography-based Optimisation for Weight Tuning of a Linear Time-Varying Model Predictive Control Approach for Autonomous Vehicles. | Mohammad Reza Chalak Qazani, Houshyar Asadi, Mansour A. Karkoub, Chee Peng Lim, Alan Wee-Chung Liew, Saeid Nahavandi |
| 2022 | SMC | Multi-objective NSGA-II for Weight Tuning of a Nonlinear Model Predictive Controller in Autonomous Vehicles. | Mohammad Reza Chalak Qazani, Mansour A. Karkoub, Houshyar Asadi, Chee Peng Lim, Alan Wee-Chung Liew, Saeid Nahavandi |
| 2022 | SMC | Optimal MPC Horizons Tunning of Nonlinear MPC for Autonomous Vehicles Using Particle Swarm Optimisation. | Mohammad Reza Chalak Qazani, Farzin Tabarsinezhad, Houshyar Asadi, Sadia Khanam, Adetokunbo Arogbonlo, Darius Nahavandi, Shady M. K. Mohamed, Chee Peng Lim, Saeid Nahavandi |
| 2022 | SMC | A Prediction of Time Series Driving Motion Scenarios Using LSTM and ESN. | Mohammad Reza Chalak Qazani, Farzin Tabarsinezhad, Houshyar Asadi, Chee Peng Lim, Adetokunbo Arogbonlo, Shehab Alsanwy, Shady M. K. Mohamed, Mehrdad Rostami, Saeid Nahavandi |
| 2021 | SMC | A Deep Q-Network Reinforcement Learning-Based Model for Autonomous Driving. | Marwa Ahmed, Chee Peng Lim, Saeid Nahavandi |
| 2021 | SMC | Whale Optimization Algorithm for Weight Tuning of a Model Predictive Control-Based Motion Cueing Algorithm. | Mohammad Reza Chalak Qazani, Houshyar Asadi, Adetokunbo Arogbonlo, Ghazal Rahimzadeh, Shady M. K. Mohamed, Siamak Pedrammehr, Chee Peng Lim, Saeid Nahavandi |
| 2021 | SMC | A Fast and Reliable Approach for Driving Style Customization in Autonomous Vehicles. | Mohammad Reza Chalak Qazani, Houshyar Asadi, Chee Peng Lim, Shady M. K. Mohamed, Darius Nahavandi, Abbas Khosravi, Saeid Nahavandi, Navneet Bhasin |
| 2021 | SMC | An MPC-based Motion Cueing Algorithm Using Washout Speed and Grey Wolf Optimizer. | Mohammad Reza Chalak Qazani, Houshyar Asadi, Shady M. K. Mohamed, Ahmad Abu Alqumsan, Ghazal Rahimzadeh, Chee Peng Lim, Saeid Nahavandi |
| 2021 | SMC | Design Considerations within Cloud Based System-of-Systems Architecture Framework. | Justin Stark, Chee Peng Lim, Saeid Nahavandi |
| 2019 | ICONIP | Evolving Artificial Neural Networks Using Butterfly Optimization Algorithm for Data Classification. | Seyed Mohammad Jafar Jalali, Sajad Ahmadian, Parham M. Kebria, Abbas Khosravi, Chee Peng Lim, Saeid Nahavandi |
| 2019 | SMC | A Model Predictive Control-based Motion Cueing Algorithm using an optimized Nonlinear Scaling for Driving Simulators. | Houshyar Asadi, Arash Mohammadi, Shady M. K. Mohamed, Mohammad Reza Chalak Qazani, Chee Peng Lim, Abbas Khosravi, Saeid Nahavandi |
| 2018 | BMVC | 3D Hand Pose Estimation using Simulation and Partial-Supervision with a Shared Latent Space. | Masoud Abdi, Ehsan Abbasnejad, Chee Peng Lim, Saeid Nahavandi |
| 2018 | SMC | Evaluation of the Path Tracking Performance of Autonomous Vehicles Using the Universal Motion Simulator. | Navid Mohajer, Houshyar Asadi, Saeid Nahavandi, Chee Peng Lim |
| 2017 | ICONIP | A Swarm Optimization-Based Kmedoids Clustering Technique for Extracting Melanoma Cancer Features. | Amin Khatami, Saeed Mirghasemi, Abbas Khosravi, Chee Peng Lim, Houshyar Asadi, Saeid Nahavandi |
| 2017 | IJCNN | A randomized neural network for data streams. | Mahardhika Pratama, Plamen P. Angelov, Jie Lu, Edwin Lughofer, Manjeevan Seera, Chee Peng Lim |
| 2017 | SMC | An artificial bee colony algorithm with a modified choice function for the Traveling Salesman Problem. | Shin Siang Choong, Li-Pei Wong, Chee Peng Lim |
| 2016 | ICONIP | A Wavelet Deep Belief Network-Based Classifier for Medical Images. | Amin Khatami, Abbas Khosravi, Chee Peng Lim, Saeid Nahavandi |
| 2016 | SMC | A Particle Swarm Optimization-based washout filter for improving simulator motion fidelity. | Houshyar Asadi, Arash Mohammadi, Shady M. K. Mohamed, Chee Peng Lim, Amin Khatami, Abbas Khosravi, Saeid Nahavandi |
| 2016 | SMC | Improved NSGA-III using neighborhood information and scalarization. | Burhan Khan, Michael Johnstone, Samer Hanoun, Chee Peng Lim, Douglas C. Creighton, Saeid Nahavandi |
| 2015 | ICONIP | Dynamical Analysis of Neural Networks with Time-Varying Delays Using the LMI Approach. | Lakshmanan Shanmugam, Chee Peng Lim, Asim Bhatti, David Yang Gao, Saeid Nahavandi |
| 2015 | ICONIP | Statistical Modelling of Artificial Neural Network for Sorting Temporally Synchronous Spikes. | Rakesh Veerabhadrappa, Asim Bhatti, Chee Peng Lim, Thanh Thi Nguyen, Susannah J. Tye, Paul Monaghan, Saeid Nahavandi |
| 2015 | SMC | Enhancement of Medical Named Entity Recognition Using Graph-Based Features. | Sara Keretna, Chee Peng Lim, Douglas C. Creighton |
| 2014 | ICONIP | A New Application of an Evolving Tree to Failure Mode and Effect Analysis Methodology. | Wui Lee Chang, Kai Meng Tay, Chee Peng Lim |
| 2014 | ICONIP | Transfer Learning Using the Online FMM Model. | Manjeevan Seera, Chee Peng Lim, Chu Kiong Loo |
| 2014 | ICONIP | Condition Monitoring of Broken Rotor Bars Using a Hybrid FMM-GA Model. | Manjeevan Seera, Chee Peng Lim, Chu Kiong Loo |
| 2014 | SMC | Classification ensemble to improve medical Named Entity Recognition. | Sara Keretna, Chee Peng Lim, Douglas C. Creighton, Khaled Bashir Shaban |
| 2014 | SMC | A hybrid FMM-CART model for human activity recognition. | Manjeevan Seera, Chu Kiong Loo, Chee Peng Lim |
| 2014 | SOFA | Data Clustering Using a Modified Fuzzy Min-Max Neural Network. | Manjeevan Seera, Chee Peng Lim, Chu Kiong Loo, Lakhmi C. Jain |
| 2013 | ACIIDS | Intelligent Water Drops Algorithm for Rough Set Feature Selection. | Basem O. Alijla, Chee Peng Lim, Ahamad Tajudin Khader, Mohammed Azmi Al-Betar |
| 2013 | ACIIDS | A Hybrid PSO-FSVM Model and Its Application to Imbalanced Classification of Mammograms. | Hussein Samma, Chee Peng Lim, Umi Kalthum Ngah |
| 2013 | ICONIP | Spike Sorting Using Hidden Markov Models. | Hailing Zhou, Shady M. K. Mohamed, Asim Bhatti, Chee Peng Lim, Nong Gu, Sherif Haggag, Saeid Nahavandi |
| 2013 | SMC | Formulation and Simulation of a 3D Mechanical Model of Embryos for Microinjection. | Marzieh Asgari, Hamid Abdi, Chee Peng Lim, Saeid Nahavandi |
| 2011 | ICMLC | Comparison between interval type-2 fuzzy sets based on a fuzzy preference relation with probability degree. | Feng Zhang, Joshua Ignatius, Chee Peng Lim |
| 2011 | ICONIP | A Hybrid FMM-CART Model for Fault Detection and Diagnosis of Induction Motors. | Manjeevan Seera, Chee Peng Lim, Dahaman Ishak |
| 2011 | ICONIP | A Modified Two-Stage SVM-RFE Model for Cancer Classification Using Microarray Data. | Phit Ling Tan, Shing Chiang Tan, Chee Peng Lim, Swee Eng Khor |
| 2010 | ECMS | Enhancing Fuzzy Inference System Based Criterion-Referenced Assessment With An Application. | Kai Meng Tay, Chee Peng Lim, Tze Ling Jee |
| 2010 | ICONIP | A Computer-Aided Detection System for Automatic Mammography Mass Identification. | Hussein Samma, Chee Peng Lim, Ali Samma |
| 2009 | ICONIP | Improving the Performance of Fuzzy ARTMAP with Hybrid Evolutionary Programming: An Experimental Study. | Shing Chiang Tan, Chee Peng Lim |
| 2009 | ICONIP | An Evolutionary Artificial Neural Network for Medical Pattern Classification. | Shing Chiang Tan, Chee Peng Lim, Kay Sin Tan, Jose C. Navarro |
| 2008 | CEC | An interactive genetic algorithm approach to MMIC low noise amplifier design using a layered encoding structure. | Siew Chin Neoh, Arjuna Marzuki, Norhashimah Morad, Chee Peng Lim, Zalina Abdul Aziz |
| 2008 | IJCNN | Robust modular ARTMAP for multi-class shape recognition. | Chue Poh Tan, Chen Change Loy, Weng-Kin Lai, Chee Peng Lim |
| 2008 | KES | Application of the Fuzzy Min-Max Neural Networks to Medical Diagnosis. | Anas Quteishat, Chee Peng Lim |
| 2007 | ICONIP | Use of Circle-Segments as a Data Visualization Technique for Feature Selection in Pattern Classification. | Shir Li Wang, Chen Change Loy, Chee Peng Lim, Weng-Kin Lai, Kay Sin Tan |
| 2006 | ICONIP | Dimensionality Reduction of Protein Mass Spectrometry Data Using Random Projection. | Chen Change Loy, Weng-Kin Lai, Chee Peng Lim |
| 2004 | KES | Fault Detection and Diagnosis Using the Fuzzy Min-Max Neural Network with Rule Extraction. | Kok Yeng Chen, Chee Peng Lim, Weng-Kin Lai |
| 2003 | KES | An ART-Based Hybrid Network for Medical Pattern Classification Tasks with Missing Data. | Chee Peng Lim, Mei Ming Kuan, Robert F. Harrison |
| 2000 | WISE | Speech Recognition Using Artificial Neural Networks. | Chee Peng Lim, Siew Chan Woo, Aun Sim Loh, Rohaizan Osman |
| 1999 | KES | Combination of decisions from a multiple neural network classifier system. | Chee Peng Lim, Phaik Yean Goay, Poh Suan Teoh, Robert F. Harrison |