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, EECS/Mathematics, Massachusetts Institute of TechnologyVerified email at mit.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
Mikhail YurochkinResearch Manager, Statistical Large Language Modeling, IBM Research and MIT-IBM Watson AI LabVerified email at umich.edu
Dennis AssanisProfessor of Mechanical Engineering, University of DelawareVerified email at udel.edu
Aritra GuhaData Science and AI Research, AT&TVerified email at umich.edu
Vijay Manikandan JanakiramanNASA Ames Research CenterVerified email at umich.edu
Hung BuiResearch Scientist, Google DeepMindVerified email at google.com
Mahmoud Abo KhamisRelationalAI (mahmoud.abokhamis@relational.ai)Verified email at relational.ai
Anthony D. JosephUniversity of California BerkeleyVerified email at eecs.berkeley.edu
Subbarao KambhampatiArizona State UniversityVerified email at asu.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 TaftPrincipal Research Scientist, GoogleVerified email at google.com
Viet HuynhLecturer (Assistant Professor) at Edith Cowan UniversityVerified email at ecu.edu.au
Svetha VenkateshDeakin Distinguished Professor, Deakin UniversityVerified email at deakin.edu.au

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	902	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	376	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	292	2006
Reviving partial order planning XL Nguyen, S Kambhampati IJCAI 1, 459-464, 2001	241	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	237	2005
Convergence of latent mixing measures in finite and infinite mixture models XL Nguyen	221	2013
On surrogate loss functions and f-divergences XL Nguyen, MJ Wainwright, MI Jordan	196*	2009
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	184	2007
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	154	2017
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	146	2002
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	132	2007
Nonparametric decentralized detection using kernel methods XL Nguyen, MJ Wainwright, MI Jordan IEEE Transactions on Signal Processing 53 (11), 4053-4066, 2005	117*	2005
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	100	2013
Convergence rates of parameter estimation for some weakly identifiable finite mixtures N Ho, XL Nguyen	95	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	84	2018
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	76	2019
On strong identifiability and convergence rates of parameter estimation in finite mixtures N Ho, XL Nguyen	70	2016
AC/DC: in-database learning thunderstruck MA Khamis, HQ Ngo, XL Nguyen, D Olteanu, M Schleich Proceedings of the second workshop on data management for end-to-end machine …, 2018	68	2018
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	67	2014
Extracting effective and admissible state space heuristics from the planning graph X Nguyen, S Kambhampati AAAI/IAAI, 798-805, 2000	67	2000

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