| 2024 | ICMLC | Algebraic Adversarial Attacks on Integrated Gradients. | Lachlan Simpson, Federico Costanza, Kyle Millar, Adriel Cheng, Cheng-Chew Lim, Hong Gunn Chew |
| 2023 | ICMLC | A Testbed for Automating and Analysing Mobile Devices and Their Applications. | Lachlan Simpson, Kyle Millar, Adriel Cheng, Hong Gunn Chew, Cheng-Chew Lim |
| 2021 | ICMLC | Neural-Based Hierarchical Formation Control of Mixed-Order Multi-Agent Systems. | Yang Fei, Xin Yuan, Peng Shi, Cheng-Chew Lim |
| 2021 | ICMLC | Clustering Network-Connected Devices Using Affiliation Graphs. | Kyle Millar, Adriel Cheng, Hong Gunn Chew, Cheng-Chew Lim |
| 2021 | ICMLC | Detecting Botnet Victims Through Graph-Based Machine Learning. | Kyle Millar, Lachlan Simpson, Adriel Cheng, Hong Gunn Chew, Cheng-Chew Lim |
| 2020 | ICMLC | Uncertainty-Observer-Based Dynamic Sliding Mode Formation Control for Multi-Agent Systems. | Yang Fei, Xin Yuan, Peng Shi, Cheng-Chew Lim |
| 2020 | ICMLC | Operating System Classification: A Minimalist Approach. | Kyle Millar, Adriel Cheng, Hong Gunn Chew, Cheng-Chew Lim |
| 2020 | ICMLC | Dynamic Multi-Target Assignment with Decentralised Online Learning to Achieve Multiple Synchronised Goals. | Duong Duc Nguyen, Arvind Rajagopalan, Jijoong Kim, Cheng-Chew Lim, David Hubczenko |
| 2020 | NOMS | Characterising Network-Connected Devices Using Affiliation Graphs. | Kyle Millar, Adriel Cheng, Hong Gunn Chew, Cheng-Chew Lim |
| 2019 | ICMLC | Predictive Modeling and Control of Energy Demand for Hybrid Electric Vehicle Systems. | Di Shen, Cheng-Chew Lim, Peng Shi |
| 2019 | SMC | Deep Learning for Bipartite Assignment Problems. | Daniel Gibbons, Cheng-Chew Lim, Peng Shi |
| 2018 | ITNAC | Enabling Energy Efficient Data Ferrying. | Hongjun Yu, Cheng-Chew Lim, Robert A. Hunjet |
| 2018 | PAKDD | Deep Learning for Classifying Malicious Network Traffic. | Kyle Millar, Adriel Cheng, Hong Gunn Chew, Cheng-Chew Lim |
| 2016 | IECON | Event-triggered fault detection for discrete-time networked control systems. | Yu-Long Wang, Peng Shi, Cheng-Chew Lim |
| 2015 | ICASSP | Histogram-PMHT with an evolving Poisson prior. | Han X. Vu, Samuel J. Davey, Sanjeev Arulampalam, Fiona K. Fletcher, Cheng-Chew Lim |
| 2015 | SMC | Delay-Dependent Exponential Stability for Neutral Stochastic Markov Neural Networks with Time-Varying Delay. | Huabin Chen, Peng Shi, Cheng-Chew Lim |
| 2015 | SMC | Matching Based Formation Control and Analysis of Large-Scale Multi-agent Systems. | Hongjun Yu, Peng Shi, Cheng-Chew Lim |
| 2006 | ISCAS | A low-voltage operational amplifier with high slew-rate for sigma-delta modulators. | Joongho Choi, Jinup Lim, Cheng-Chew Lim |
| 2006 | VTC | Channel Prediction Using Lumpable Finite-State Markov Channels in OFDMA Systems. | Tommy Kit-Ming Chee, Cheng-Chew Lim, Jinho Choi |
| 2003 | PIMRC | A chip level decision feedback equalizer for CDMA downlink channel with the Alamouti transmit diversity scheme. | Agus Santoso, Jinho Choi, Cheng-Chew Lim, Branka Vucetic |
| 2001 | ARITH | Parallel Prefix Adder Design. | Andrew Beaumont-Smith, Cheng-Chew Lim |
| 2001 | ICASSP | Dual ν-support vector machine with error rate and training size biasing. | Hong Gunn Chew, Robert E. Bogner, Cheng-Chew Lim |
| 2001 | ISCAS | A parallel architecture for estimating 4th-order cumulants. | Jee G. Lim, Cheng-Chew Lim |
| 1999 | ARITH | Reduced Latency IEEE Floating-Point Standard Adder Architectures. | Andrew Beaumont-Smith, Neil Burgess, S. Lefrere, Cheng-Chew Lim |
| 1999 | KES | Neural model of visual selective attention for automatic translation invariant object recognition in cluttered images. | E. W. Chong, Cheng-Chew Lim, Peter Lozo |
| 1999 | KES | Elementary motion detection with selective attention. | E. W. Choong, Cheng-Chew Lim |
| 1999 | KES | An array processor architecture for support vector learning. | K. To, Cheng-Chew Lim, Andrew Beaumont-Smith, Michael J. Liebelt, W. Marwood |
| 1991 | ICDCS | A comparative study of three token ring protocols for real-time communications. | Cheng-Chew Lim, Lijun Yao, Wei Zhao |