Jiaming Xu

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Yihong WuProfessor, Department of Statistics and Data ScienceAdresse e-mail validée de yale.edu
Bruce HajekProfessor of Electrical and Computer Engineering, University of IllinoisAdresse e-mail validée de illinois.edu
Yudong ChenAssociate Professor, University of Wisconsin-MadisonAdresse e-mail validée de wisc.edu
Lili SuAssistant Professor, Northeastern UniversityAdresse e-mail validée de northeastern.edu
Jeffrey AndrewsTruchard Family Chair and Director of 6G@UT, University of Texas at AustinAdresse e-mail validée de ece.utexas.edu
Cheng MaoGeorgia Institute of TechnologyAdresse e-mail validée de math.gatech.edu
Laurent MassoulieInria, MSR-Inria Joint CentreAdresse e-mail validée de inria.fr
Marc LelargeINRIA and ENSAdresse e-mail validée de ens.fr
Jian DingPeking UniversityAdresse e-mail validée de math.pku.edu.cn
Jun ZhangHong Kong University of Science and Technology, IEEE FellowAdresse e-mail validée de ust.hk
Elchanan MosselProfessor of Mathematics, MITAdresse e-mail validée de mit.edu
Xiaojun LinProfessor of Electrical and Computer Engineering, Purdue UniversityAdresse e-mail validée de ecn.purdue.edu
R. SrikantUniversity of Illinois at Urbana-ChampaignAdresse e-mail validée de illinois.edu
Xiaodong LiAssociate Professor, University of California at DavisAdresse e-mail validée de ucdavis.edu
Cristopher MooreSanta Fe InstituteAdresse e-mail validée de santafe.edu
Lei YingProfessor at the University of Michigan, Ann ArborAdresse e-mail validée de umich.edu
Syed A. JafarChancellor's Professor of EECS, University of California IrvineAdresse e-mail validée de uci.edu
Roman VershyninProfessor of Mathematics, University of California, IrvineAdresse e-mail validée de uci.edu
Florent KrzakalaÉcole polytechnique fédérale de LausanneAdresse e-mail validée de epfl.ch
Lenka ZdeborovaEPFL, SwitzerlandAdresse e-mail validée de epfl.ch

Suivre

Jiaming Xu

The Fuqua School of Business, Duke University

Adresse e-mail validée de duke.edu - Page d'accueil

Network science high-dimensional statistical inference optimization information theory communications and networking


Titre Trier par citations Trier par année Trier par titre	Citée par Citée par	Année
Distributed statistical machine learning in adversarial settings: Byzantine gradient descent Y Chen, L Su, J Xu Proceedings of the ACM on Measurement and Analysis of Computing Systems 1 (2 …, 2017	565	2017
Achieving exact cluster recovery threshold via semidefinite programming B Hajek, Y Wu, J Xu IEEE Transactions on Information Theory 62 (5), 2788-2797, 2016	251	2016
On the accuracy of the Wyner model in cellular networks J Xu, J Zhang, JG Andrews IEEE Transactions on Wireless Communications 10 (9), 3098-3109, 2011	189	2011
Achieving exact cluster recovery threshold via semidefinite programming: Extensions B Hajek, Y Wu, J Xu IEEE Transactions on Information Theory 62 (10), 5918-5937, 2016	153	2016
Statistical-computational tradeoffs in planted problems and submatrix localization with a growing number of clusters and submatrices Y Chen, J Xu The Journal of Machine Learning Research 17 (1), 882-938, 2016	131	2016
Convexified modularity maximization for degree-corrected stochastic block models Y Chen, X Li, J Xu	128	2018
Computational lower bounds for community detection on random graphs B Hajek, Y Wu, J Xu Conference on Learning Theory, 899-928, 2015	125	2015
Minimax-optimal inference from partial rankings B Hajek, S Oh, J Xu Advances in Neural Information Processing Systems 27, 2014	115	2014
Statistical-computational tradeoffs in planted problems and submatrix localization with a growing number of clusters and submatrices Y Chen, J Xu arXiv preprint arXiv:1402.1267, 2014	105	2014
Information-theoretic bounds and phase transitions in clustering, sparse PCA, and submatrix localization J Banks, C Moore, R Vershynin, N Verzelen, J Xu IEEE Transactions on Information Theory 64 (7), 4872-4894, 2018	99	2018
Mutual information in rank-one matrix estimation F Krzakala, J Xu, L Zdeborová 2016 IEEE Information Theory Workshop (ITW), 71-75, 2016	87	2016
Rates of convergence of spectral methods for graphon estimation J Xu International Conference on Machine Learning, 5433-5442, 2018	86	2018
Efficient random graph matching via degree profiles J Ding, Z Ma, Y Wu, J Xu Probability Theory and Related Fields 179, 29-115, 2021	79	2021
Seeded graph matching via large neighborhood statistics E Mossel, J Xu Random Structures & Algorithms 57 (3), 570-611, 2020	71	2020
MISO broadcast channels with delayed finite-rate feedback: Predict or observe? J Xu, JG Andrews, SA Jafar IEEE Transactions on Wireless Communications 11 (4), 1456-1467, 2012	69	2012
Convex relaxation methods for community detection X Li, Y Chen, J Xu	64	2021
Information limits for recovering a hidden community B Hajek, Y Wu, J Xu IEEE Transactions on Information Theory 63 (8), 4729-4745, 2017	62	2017
Local algorithms for block models with side information E Mossel, J Xu Proceedings of the 2016 ACM Conference on Innovations in Theoretical …, 2016	60	2016
Edge label inference in generalized stochastic block models: from spectral theory to impossibility results J Xu, L Massoulié, M Lelarge Conference on Learning Theory, 903-920, 2014	55	2014
Settling the sharp reconstruction thresholds of random graph matching Y Wu, J Xu, HY Sophie IEEE Transactions on Information Theory 68 (8), 5391-5417, 2022	53	2022

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