XuanLong Nguyen

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Michael I. JordanProfessor of Electrical Engineering and Computer Sciences and Professor of Statistics, UC BerkeleyVerified email at cs.berkeley.edu
Martin WainwrightProfessor of EECS and Statistics, UC BerkeleyVerified email at berkeley.edu
Hung Q. NgoRelationalAIVerified email at relational.ai
Maximilian SchleichUniversity of WashingtonVerified email at cs.washington.edu
Dan OlteanuProfessor of Computer Science, University of ZurichVerified email at ifi.uzh.ch
Dennis AssanisProfessor of Mechanical Engineering, University of DelawareVerified email at udel.edu
Nhat HoUniversity of Texas, AustinVerified email at utexas.edu
Mahmoud Abo KhamisRelational AIVerified email at relational.ai
Subbarao KambhampatiArizona State UniversityVerified email at asu.edu
Vijay Manikandan JanakiramanNASA Ames Research CenterVerified email at umich.edu
Hung BuiResearch Scientist, Google DeepMindVerified email at google.com
Anthony D. JosephUniversity of California BerkeleyVerified email at eecs.berkeley.edu
Ling HuangAHI FintechVerified email at cs.berkeley.edu
Dinh PhungProfessor, Monash UniversityVerified email at monash.edu
Minos GarofalakisDirector, IMSI, Athena Research Center & Professor, School of ECE, Technical Univ. of CreteVerified email at softnet.tuc.gr
Nina TaftSenior Research Scientist, GoogleVerified email at google.com
Romeo Sanchez NigendaProfessor, Universidad Autónoma de Nuevo LeónVerified email at uanl.edu.mx
Svetha VenkateshProfessor of Computer Science, Deakin UniversityVerified email at deakin.edu.au
alan e gelfandProfessor of Statistical Science Duke UniversityVerified email at stat.duke.edu
Ram RajagopalAssociate Professor, Stanford UniversityVerified email at stanford.edu

XuanLong Nguyen

University of Michigan

Verified email at umich.edu - Homepage

statistics machine learning information theory artificial intelligence


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Estimating divergence functionals and the likelihood ratio by convex risk minimization XL Nguyen, MJ Wainwright, MI Jordan IEEE Transactions on Information Theory 56 (11), 5847-5861, 2010	624	2010
Understanding the limiting factors of topic modeling via posterior contraction analysis J Tang, Z Meng, X Nguyen, Q Mei, M Zhang International conference on machine learning, 190-198, 2014	301	2014
In-network PCA and anomaly detection L Huang, XL Nguyen, M Garofalakis, M Jordan, A Joseph, N Taft Advances in neural information processing systems 19, 2006	255	2006
Reviving partial order planning XL Nguyen, S Kambhampati IJCAI 1, 459-464, 2001	234	2001
A kernel-based learning approach to ad hoc sensor network localization XL Nguyen, MI Jordan, B Sinopoli ACM Transactions on Sensor Networks (TOSN) 1 (1), 134-152, 2005	227	2005
Communication-efficient online detection of network-wide anomalies L Huang, XL Nguyen, M Garofalakis, JM Hellerstein, MI Jordan, ... IEEE INFOCOM 2007-26th IEEE International Conference on Computer …, 2007	172	2007
On surrogate loss functions and f-divergences XL Nguyen, MJ Wainwright, MI Jordan The Annals of Statistics 37 (2), 876-904, 2009	160*	2009
Convergence of latent mixing measures in finite and infinite mixture models XL Nguyen The Annals of Statistics 41 (1), 370-400, 2013	159	2013
Planning graph as the basis for deriving heuristics for plan synthesis by state space and CSP search XL Nguyen, S Kambhampati, RS Nigenda Artificial Intelligence 135 (1-2), 73-123, 2002	143	2002
Nonparametric decentralized detection using kernel methods XL Nguyen, MJ Wainwright, MI Jordan IEEE Transactions on Signal Processing 53 (11), 4053-4066, 2005	115*	2005
Multilevel clustering via Wasserstein means N Ho, XL Nguyen, M Yurochkin, HH Bui, V Huynh, D Phung International Conference on Machine Learning, 1501-1509, 2017	107	2017
Estimating divergence functionals and the likelihood ratio by penalized convex risk minimization XL Nguyen, MJ Wainwright, M Jordan Advances in neural information processing systems 20, 2007	100	2007
Verification of novel integrations of swarm intelligence algorithms into deep learning neural network for flood susceptibility mapping QT Bui, QH Nguyen, XL Nguyen, VD Pham, HD Nguyen, VM Pham Journal of Hydrology 581, 124379, 2020	85	2020
Nonlinear identification of a gasoline HCCI engine using neural networks coupled with principal component analysis VM Janakiraman, XL Nguyen, D Assanis Applied Soft Computing 13 (5), 2375-2389, 2013	85	2013
Extracting effective and admissible state space heuristics from the planning graph XL Nguyen, S Kambhampati AAAI/IAAI, 798-805, 2000	65	2000
In-database learning with sparse tensors M Abo Khamis, HQ Ngo, XL Nguyen, D Olteanu, M Schleich Proceedings of the 37th ACM SIGMOD-SIGACT-SIGAI Symposium on Principles of …, 2018	64*	2018
Convergence rates of parameter estimation for some weakly identifiable finite mixtures N Ho, XL Nguyen The Annals of Statistics 44 (6), 2726-2755, 2016	58	2016
AltAlt: Combining the advantages of Graphplan and heuristic state search RS Nigenda, XL Nguyen, S Kambhampati Proc. KBCS-2000, Mumbai, India, 2000	56	2000
Distributed online simultaneous fault detection for multiple sensors R Rajagopal, XL Nguyen, SC Ergen, P Varaiya 2008 International Conference on Information Processing in Sensor Networks …, 2008	55	2008
Parallel feature selection inspired by group testing Y Zhou, U Porwal, C Zhang, HQ Ngo, XL Nguyen, C Ré, V Govindaraju Advances in neural information processing systems 27, 2014	53	2014

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