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
Hung Q. NgoRelationalAIVerified email at relational.ai
Nhat HoProfessor at University of Texas, AustinVerified email at utexas.edu
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
Vijay Manikandan JanakiramanNASA Ames Research CenterVerified email at umich.edu
Hung BuiResearch Scientist, Google DeepMindVerified email at google.com
Mahmoud Abo KhamisRelational AIVerified email at relational.ai
Subbarao KambhampatiArizona State UniversityVerified email at asu.edu
Anthony D. JosephUniversity of California BerkeleyVerified email at eecs.berkeley.edu
Dinh PhungProfessor, Monash UniversityVerified email at monash.edu
Ling HuangAHI FintechVerified email at cs.berkeley.edu
Minos GarofalakisDirector, IMSI, Athena RC; Professor, School of ECE, TU 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
Ming Zhang, 张铭Professor,Peking UniversityVerified email at pku.edu.cn

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	717	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	336	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	274	2006
Reviving partial order planning XL Nguyen, S Kambhampati IJCAI 1, 459-464, 2001	236	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	231	2005
Convergence of latent mixing measures in finite and infinite mixture models XL Nguyen	191	2013
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	180	2007
On surrogate loss functions and f-divergences XL Nguyen, MJ Wainwright, MI Jordan	175*	2009
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	147	2002
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	130	2017
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	129	2020
Nonparametric decentralized detection using kernel methods XL Nguyen, MJ Wainwright, MI Jordan IEEE Transactions on Signal Processing 53 (11), 4053-4066, 2005	118*	2005
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	106	2007
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	93	2013
Convergence rates of parameter estimation for some weakly identifiable finite mixtures N Ho, XL Nguyen	78	2016
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	70	2018
Extracting effective and admissible state space heuristics from the planning graph X Nguyen, S Kambhampati AAAI/IAAI, 798-805, 2000	67	2000
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	59	2014
AltAlt: Combining the advantages of Graphplan and heuristic state search RS Nigenda, XL Nguyen, S Kambhampati Knowledge Based Computer Systems, 409-421, 2000	57	2000
A layered aggregate engine for analytics workloads M Schleich, D Olteanu, M Abo Khamis, HQ Ngo, XL Nguyen Proceedings of the 2019 International Conference on Management of Data, 1642 …, 2019	56	2019

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