| 2024 | AAAI | Dynamic Knowledge Injection for AIXI Agents. | Samuel Yang-Zhao, Kee Siong Ng, Marcus Hutter |
| 2023 | UAI | Split, count, and share: a differentially private set intersection cardinality estimation protocol. | Michael Purcell, Yang Li, Kee Siong Ng |
| 2022 | ECCV | Spatially Invariant Unsupervised 3D Object-Centric Learning and Scene Decomposition. | Tianyu Wang, Miaomiao Liu, Kee Siong Ng |
| 2020 | SMC | Towards Distributed Privacy-Preserving Prediction. | Lingjuan Lyu, Yee Wei Law, Kee Siong Ng, Shibei Xue, Jun Zhao, Mengmeng Yang, Lei Liu |
| 2018 | CIKM | Scalable Entity Resolution Using Probabilistic Signatures on Parallel Databases. | Yuhang Zhang, Kee Siong Ng, Tania Churchill, Peter Christen |
| 2017 | AusDM | Exploiting Redundancy, Recurrency and Parallelism: How to Link Millions of Addresses with Ten Lines of Code in Ten Minutes. | Yuhang Zhang, Tania Churchill, Kee Siong Ng |
| 2013 | PAKDD | Predicting High Impact Academic Papers Using Citation Network Features. | Daniel McNamara, Paul Wong, Peter Christen, Kee Siong Ng |
| 2012 | DCC | Context Tree Switching. | Joel Veness, Kee Siong Ng, Marcus Hutter, Michael H. Bowling |
| 2010 | AAAI | Reinforcement Learning via AIXI Approximation. | Joel Veness, Kee Siong Ng, Marcus Hutter, David Silver |
| 2010 | ICDM | Detecting Non-compliant Consumers in Spatio-Temporal Health Data: A Case Study from Medicare Australia. | Kee Siong Ng, Yin Shan, D. Wayne Murray, Alison Sutinen, B. Schwarz, David Jeacocke, J. Farrugia |
| 2006 | ILP | Learning Modal Theories. | John W. Lloyd, Kee Siong Ng |
| 2005 | ILP | Generalization Behaviour of Alkemic Decision Trees. | Kee Siong Ng |
| 2005 | ILP | Predicate Selection for Structural Decision Trees. | Kee Siong Ng, John W. Lloyd |