Kee Siong Ng

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John LloydEmeritus Professor 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
Christopher RéComputer Science, Stanford UniversityVerified email at cs.stanford.edu
Kun LiGoogle IncVerified email at google.com
Joseph HellersteinJim Gray Professor of Computer Science, UC BerkeleyVerified email at berkeley.edu
Daisy Zhe WangUniversity of FloridaVerified email at cise.ufl.edu
Arun KumarUniversity of California, San DiegoVerified email at eng.ucsd.edu
Peter ChristenProfessor, Australian National UniversityVerified email at anu.edu.au
Michael BowlingUniversity of Alberta / DeepMindVerified email at ualberta.ca
Paul Wong 黃仲熙Australian National UniversityVerified email at anu.edu.au
Daniel McNamaraPhD candidate, Australian National UniversityVerified email at anu.edu.au
Thilina RanbadugeAustralian National University and Data 61, CSIROVerified email at anu.edu.au
Yang Li (Kelvin)Deakin UniversityVerified email at deakin.edu.au
Michael PurcellSenior Research Engineer, 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 Government / Australian National University

Verified email at anu.edu.au - Homepage

Machine Learning Artificial Intelligence Data Science


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
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	483	2012
A monte-carlo aixi approximation J Veness, KS Ng, M Hutter, W Uther, D Silver Journal of Artificial Intelligence Research 40, 95-142, 2011	204	2011
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	136	2020
Stream processing with dynamic event routing M Brand, LJ Adams, DR Brown, KS Ng US Patent 10,055,691, 2018	136*	2018
A simple explanation of partial least squares KS Ng	52	2013
Context tree switching J Veness, KS Ng, M Hutter, M Bowling 2012 Data Compression Conference, 327-336, 2012	51	2012
Reinforcement Learning via AIXI Approximation. J Veness, KS Ng, M Hutter, D Silver AAAI, 2010	32	2010
Probabilities on sentences in an expressive logic M Hutter, JW Lloyd, KS Ng, WTB Uther Journal of Applied Logic 11 (4), 386-420, 2013	25	2013
Personalisation for user agents JJ Cole, MJ Gray, JW Lloyd, KS Ng Proceedings of the fourth international joint conference on Autonomous …, 2005	24	2005
Probabilistic modelling, inference and learning using logical theories KS Ng, JW Lloyd, WTB Uther Annals of Mathematics and Artificial Intelligence 54, 159-205, 2008	23	2008
Predicting High Impact Academic Papers using Citation Network Features D McNamara, P Wong, P Christen, KS Ng DMApps 3, 2013	21	2013
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	21	2010
Probabilistic reasoning in a classical logic KS Ng, JW Lloyd Journal of Applied Logic 7 (2), 218-238, 2009	17	2009
Stream processing with multiple connections between local and central modelers M Brand, LJ Adams, DR Brown, KS Ng US Patent 10,579,937, 2020	16	2020
Compute intensive stream processing with concept drift detection M Brand, LJ Adams, DR Brown, KS Ng US Patent App. 14/710,333, 2016	15	2016
Learning comprehensible theories from structured data KS Ng Australian National University, 2005	15	2005
Symbolic learning for adaptive agents J Cole, JW Lloyd, KS Ng Proceedings of the Annual Partner Conference, Smart Internet Technology …, 2003	15	2003
Learning modal theories J Lloyd, K Ng Inductive Logic Programming, 320-334, 2007	14	2007
Scalable Entity Resolution Using Probabilistic Signatures on Parallel Databases Y Zhang, KS Ng, T Churchill, P Christen Proceedings of the 27th ACM International Conference on Information and …, 2018	7	2018
Scalable entity resolution using probabilistic signatures on parallel databases Y Zhang, KS Ng, M Walker, P Chou, T Churchill, P Christen arXiv:1712.09691, 2018	7	2018

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