Kee Siong Ng

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John LloydProfessor Emeritus of Computer Science, The Australian National UniversityVerified email at cecs.anu.edu.au
Marcus HutterResearcher@DeepMind & Professor at ANUVerified email at anu.edu.au
Joel VenessGoogle DeepMindVerified email at google.com
William UtherGoogleVerified email at uther.id.au
Lingjuan LyuSony AIVerified email at sony.com
David SilverDeepMind, UCLVerified email at google.com
Michael BrandAdjunct Professor, RMIT UniversityVerified email at rmit.edu.au
Christopher RéComputer Science, Stanford UniversityVerified email at cs.stanford.edu
Joseph HellersteinJim Gray Professor of the Graduate School, UC BerkeleyVerified email at berkeley.edu
Peter ChristenProfessor, Australian National University, and University of EdinburghVerified email at anu.edu.au
Yang Li (Kelvin)Deakin UniversityVerified email at deakin.edu.au
Michael PurcellSenior Fellow, The Australian National UniversityVerified email at anu.edu.au
Thilina RanbadugeAustralian National University and Data 61, CSIROVerified email at anu.edu.au
Paul Wong 黃仲熙Australian National UniversityVerified email at anu.edu.au
Daniel McNamaraPhD candidate, Australian National UniversityVerified email at anu.edu.au
Samuel Yang-ZhaoAustralian National UniversityVerified email at anu.edu.au
Thierry RakotoariveloPrincipal Research Scientist, Data61, CSIROVerified email at data61.csiro.au
Tianyu WangPh.D. candidate, School of Computing, The Australian National UniversityVerified email at anu.edu.au
Miaomiao LiuAustralian National UniversityVerified email at anu.edu.au
Kerry TaylorProfessor of Computer Science, Australian National UniversityVerified email at acm.org

Kee Siong Ng

Australian National University / Australian Public Service

Verified email at anu.edu.au - Homepage

Machine Learning Artificial Intelligence Data Science


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The MADlib Analytics Library or MAD Skills, the SQL JM Hellerstein, C Ré, F Schoppmann, DZ Wang, E Fratkin, A Gorajek, ... Proceedings of the VLDB Endowment 5 (12), 1700-1711, 2012	543	2012
Towards Fair and Privacy-Preserving Federated Deep Models L Lyu, J Yu, K Nandakumar, Y Li, X Ma, J Jin, H Yu, KS Ng IEEE Transactions on Parallel and Distributed Systems 31 (11), 2524-2541, 2020	259	2020
A monte-carlo aixi approximation J Veness, KS Ng, M Hutter, W Uther, D Silver Journal of Artificial Intelligence Research 40, 95-142, 2011	230	2011
Stream processing with dynamic event routing M Brand, LJ Adams, DR Brown, KS Ng US Patent 10,055,691, 2018	137*	2018
A simple explanation of partial least squares KS Ng	72	2013
Context tree switching J Veness, KS Ng, M Hutter, M Bowling 2012 Data Compression Conference, 327-336, 2012	56	2012
Reinforcement Learning via AIXI Approximation. J Veness, KS Ng, M Hutter, D Silver AAAI, 2010	33	2010
Private graph data release: A survey Y Li, M Purcell, T Rakotoarivelo, D Smith, T Ranbaduge, KS Ng ACM Computing Surveys 55 (11), 1-39, 2023	27	2023
Probabilities on sentences in an expressive logic M Hutter, JW Lloyd, KS Ng, WTB Uther Journal of Applied Logic 11 (4), 386-420, 2013	27	2013
Personalisation for user agents JJ Cole, MJ Gray, JW Lloyd, KS Ng Proceedings of the fourth international joint conference on Autonomous …, 2005	27	2005
Compute intensive stream processing with concept drift detection M Brand, LJ Adams, DR Brown, KS Ng US Patent App. 14/710,333, 2016	26	2016
Predicting High Impact Academic Papers using Citation Network Features D McNamara, P Wong, P Christen, KS Ng DMApps 3, 2013	26	2013
Probabilistic modelling, inference and learning using logical theories KS Ng, JW Lloyd, WTB Uther Annals of Mathematics and Artificial Intelligence 54, 159-205, 2008	25	2008
Detecting non-compliant consumers in spatio-temporal health data: A case study from Medicare Australia KS Ng, Y Shan, DW Murray, A Sutinen, B Schwarz, D Jeacocke, ... 2010 IEEE International Conference on Data Mining Workshops, 613-622, 2010	23	2010
Stream processing with multiple connections between local and central modelers M Brand, LJ Adams, DR Brown, KS Ng US Patent 10,579,937, 2020	19	2020
Probabilistic reasoning in a classical logic KS Ng, JW Lloyd Journal of Applied Logic 7 (2), 218-238, 2009	17	2009
Symbolic learning for adaptive agents J Cole, JW Lloyd, KS Ng Proceedings of the Annual Partner Conference, Smart Internet Technology …, 2003	15	2003
Learning comprehensible theories from structured data KS Ng Australian National University, 2005	14	2005
Learning modal theories J Lloyd, K Ng Inductive Logic Programming, 320-334, 2007	13	2007
Private Digital Identity on Blockchain. T Hamer, K Taylor, KS Ng, A Tiu BlockSW/CKG@ ISWC, 2019	11	2019

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