Kee Siong Ng

According to our database, Kee Siong Ng authored at least 38 papers between 2005 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Privacy Technologies for Financial Intelligence.

Yang Li, Thilina Ranbaduge, Kee Siong Ng

CoRR, 2024

Privacy Preserving Reinforcement Learning for Population Processes.

Samuel Yang-Zhao, Kee Siong Ng

CoRR, 2024

Dynamic Knowledge Injection for AIXI Agents.

Samuel Yang-Zhao, Kee Siong Ng, Marcus Hutter

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Private Graph Data Release: A Survey.

Yang Li, Michael Purcell, Thierry Rakotoarivelo, David Smith, Thilina Ranbaduge, Kee Siong Ng

ACM Comput. Surv., November, 2023

Variational Inference for Scalable 3D Object-centric Learning.

Tianyu Wang, Kee Siong Ng, Miaomiao Liu

CoRR, 2023

Split, count, and share: a differentially private set intersection cardinality estimation protocol.

Michael Purcell, Yang Li, Kee Siong Ng

Proceedings of the Uncertainty in Artificial Intelligence, 2023

2022

A Tutorial Introduction to Lattice-based Cryptography and Homomorphic Encryption.

Yang Li, Kee Siong Ng, Michael Purcell

CoRR, 2022

Factored Conditional Filtering: Tracking States and Estimating Parameters in High-Dimensional Spaces.

Dawei Chen, Samuel Yang-Zhao, John W. Lloyd, Kee Siong Ng

CoRR, 2022

A Direct Approximation of AIXI Using Logical State Abstractions.

Samuel Yang-Zhao, Tianyu Wang, Kee Siong Ng

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Spatially Invariant Unsupervised 3D Object-Centric Learning and Scene Decomposition.

Tianyu Wang, Miaomiao Liu, Kee Siong Ng

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

Spatially Invariant Unsupervised 3D Object Segmentation with Graph Neural Networks.

Tianyu Wang, Miaomiao Liu, Kee Siong Ng

CoRR, 2021

Accurate and Efficient Suffix Tree Based Privacy-Preserving String Matching.

Sirintra Vaiwsri, Thilina Ranbaduge, Peter Christen, Kee Siong Ng

CoRR, 2021

2020

Towards Fair and Privacy-Preserving Federated Deep Models.

Lingjuan Lyu, Jiangshan Yu, Karthik Nandakumar, Yitong Li, Xingjun Ma, Jiong Jin, Han Yu, Kee Siong Ng

IEEE Trans. Parallel Distributed Syst., 2020

Towards Distributed Privacy-Preserving Prediction.

Lingjuan Lyu, Yee Wei Law, Kee Siong Ng, Shibei Xue, Jun Zhao, Mengmeng Yang, Lei Liu

Proceedings of the 2020 IEEE International Conference on Systems, Man, and Cybernetics, 2020

2019

Distributed Privacy-Preserving Prediction.

Lingjuan Lyu, Yee Wei Law, Kee Siong Ng

CoRR, 2019

Private Digital Identity on Blockchain.

Tom Hamer, Kerry Taylor, Kee Siong Ng, Alwen Tiu

Proceedings of the Blockchain enabled Semantic Web Workshop (BlockSW) and Contextualized Knowledge Graphs (CKG) Workshop co-located with the 18th International Semantic Web Conference, 2019

2018

Scalable Entity Resolution Using Probabilistic Signatures on Parallel Databases.

Yuhang Zhang, Kee Siong Ng, Tania Churchill, Peter Christen

Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

2017

Scalable Entity Resolution Using Probabilistic Signatures on Parallel Databases.

Yuhang Zhang, Kee Siong Ng, Michael Walker, Pauline Chou, Tania Churchill, Peter Christen

CoRR, 2017

Exploiting Redundancy, Recurrence and Parallelism: How to Link Millions of Addresses with Ten Lines of Code in Ten Minutes.

Yuhang Zhang, Tania Churchill, Kee Siong Ng

CoRR, 2017

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

Proceedings of the Data Mining, 2017

2013

Probabilities on Sentences in an Expressive Logic.

Marcus Hutter, John W. Lloyd, Kee Siong Ng, William T. B. Uther

J. Appl. Log., 2013

Predicting High Impact Academic Papers Using Citation Network Features.

Daniel McNamara, Paul Wong, Peter Christen, Kee Siong Ng

Proceedings of the Trends and Applications in Knowledge Discovery and Data Mining, 2013

2012

The MADlib Analytics Library or MAD Skills, the SQL.

Joseph M. Hellerstein, Christopher Ré, Florian Schoppmann, Daisy Zhe Wang, Eugene Fratkin, Aleksander Gorajek, Kee Siong Ng, Caleb Welton, Xixuan Feng, Kun Li, Arun Kumar

Proc. VLDB Endow., 2012

Context Tree Switching.

Joel Veness, Kee Siong Ng, Marcus Hutter, Michael H. Bowling

Proceedings of the 2012 Data Compression Conference, Snowbird, UT, USA, April 10-12, 2012, 2012

2011

A Monte-Carlo AIXI Approximation.

Joel Veness, Kee Siong Ng, Marcus Hutter, William T. B. Uther, David Silver

J. Artif. Intell. Res., 2011

Declarative programming for agent applications.

John W. Lloyd, Kee Siong Ng

Auton. Agents Multi Agent Syst., 2011

2010

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

Proceedings of the ICDMW 2010, 2010

Reinforcement Learning via AIXI Approximation.

Joel Veness, Kee Siong Ng, Marcus Hutter, David Silver

Proceedings of the Twenty-Fourth AAAI Conference on Artificial Intelligence, 2010

2009

Probabilistic reasoning in a classical logic.

Kee Siong Ng, John W. Lloyd

J. Appl. Log., 2009

A Monte Carlo AIXI Approximation

Joel Veness, Kee Siong Ng, Marcus Hutter, David Silver

CoRR, 2009

2008

Probabilistic modelling, inference and learning using logical theories.

Kee Siong Ng, John W. Lloyd, William T. B. Uther

Ann. Math. Artif. Intell., 2008

2007

Probabilistic and Logical Beliefs.

John W. Lloyd, Kee Siong Ng

Proceedings of the Languages, 2007

Reflections on Agent Beliefs.

John W. Lloyd, Kee Siong Ng

Proceedings of the Declarative Agent Languages and Technologies V, 2007

2006

Learning Modal Theories.

John W. Lloyd, Kee Siong Ng

Proceedings of the Inductive Logic Programming, 16th International Conference, 2006

(Agnostic) PAC Learning Concepts in Higher-Order Logic.

Kee Siong Ng

Proceedings of the Machine Learning: ECML 2006, 2006

2005

Predicate Selection for Structural Decision Trees.

Kee Siong Ng, John W. Lloyd

Proceedings of the Inductive Logic Programming, 15th International Conference, 2005

Generalization Behaviour of Alkemic Decision Trees.

Kee Siong Ng

Proceedings of the Inductive Logic Programming, 15th International Conference, 2005

Personalisation for user agents.

Joshua J. Cole, Matt J. Gray, John W. Lloyd, Kee Siong Ng

Proceedings of the 4th International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS 2005), 2005