Kee Siong Ng

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	All	Since 2016
Citations	1048	500
h-index	13	10
i10-index	17	10

120

2004200520062007200820092010201120122013201420152016201720182019202020214 6 17 28 23 22 26 55 60 97 113 79 88 101 85 91 108 24

Co-authors

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
David SilverGoogle DeepMindVerified email at google.com
Christopher RéComputer Science, Stanford UniversityVerified email at cs.stanford.edu
Xixuan (Aaron) Feng 冯熙铉Software Engineer and Researcher in Recruit Institute of TechnologyVerified email at recruit.ai
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 ChristenLeibniz Visiting Professor, University of Leipzig; and Professor, 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
Andrew W SlaterGoogleVerified email at google.com

Kee Siong Ng

Services Australia / Australian National University

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	396	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	173	2011
Stream processing with dynamic event routing M Brand, LJ Adams, DR Brown, KS Ng US Patent 10,055,691, 2018	130*	2018
Context tree switching J Veness, KS Ng, M Hutter, M Bowling 2012 Data Compression Conference, 327-336, 2012	47	2012
Reinforcement Learning via AIXI Approximation. J Veness, KS Ng, M Hutter, D Silver AAAI, 2010	29	2010
A simple explanation of partial least squares KS Ng	27	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
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	23	2020
Probabilities on sentences in an expressive logic M Hutter, JW Lloyd, KS Ng, WTB Uther Journal of Applied Logic 11 (4), 386-420, 2013	23	2013
Probabilistic modelling, inference and learning using logical theories KS Ng, JW Lloyd, WTB Uther Annals of Mathematics and Artificial Intelligence 54 (1-3), 159-205, 2008	23	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	19	2010
Predicting High Impact Academic Papers using Citation Network Features D McNamara, P Wong, P Christen, KS Ng DMApps 3, 2013	16	2013
Probabilistic reasoning in a classical logic KS Ng, JW Lloyd Journal of Applied Logic 7 (2), 218-238, 2009	15	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	13	2020
Learning comprehensible theories from structured data KS Ng Australian National University, 2005	13	2005
Symbolic learning for adaptive agents J Cole, JW Lloyd, KS Ng Proceedings of the Annual Partner Conference, Smart Internet Technology …, 2003	13	2003
Learning modal theories J Lloyd, K Ng Inductive Logic Programming, 320-334, 2007	12	2007
Compute intensive stream processing with concept drift detection M Brand, LJ Adams, DR Brown, KS Ng US Patent App. 14/710,333, 2016	9	2016
Compute intensive stream processing M Brand, LJ Adams, DR Brown, KS Ng US Patent 10,776,711, 2020	5	2020
Distributed Privacy-Preserving Prediction L Lyu, YW Law, KS Ng arXiv preprint arXiv:1910.11478, 2019	5	2019

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