Kevin S. Xu

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Alfred HeroJohn H Holland Distinguished University Professor, University of MichiganVerified email at eecs.umich.edu
Mark KligerMachine Learning Engineer, Snap Inc.Verified email at snap.com
Brian ErikssonAdobeVerified email at adobe.com
Vijay DevabhaktuniECE Chair University of MaineVerified email at maine.edu
Makan ArastuieUniversity of ToledoVerified email at rockets.utoledo.edu
Swayambhoo JainSenior Applied Scientist, MicrosoftVerified email at microsoft.com
Urvashi OswalOracle LabsVerified email at oracle.com
Edoardo M AiroldiProfessor of Statistics & Data Science Temple University & PI, Harvard UniversityVerified email at fas.harvard.edu
Ruthwik Reddy JunuthulaThe Univerity of ToledoVerified email at rockets.utoledo.edu
Subhadeep PaulAssistant Professor of Statistics, The Ohio State UniversityVerified email at osu.edu
Chandan K. ReddyProfessor, Computer Science, Virginia TechVerified email at cs.vt.edu
Jeff CalderAssociate Professor, University of MinnesotaVerified email at umn.edu
Ko-Jen HsiaoData Scientist, WhisperText Inc.Verified email at umich.edu
Michael SlomaUniversity of ToledoVerified email at rockets.utoledo.edu
Mohammadreza NematiCase Western Reserve UniversityVerified email at case.edu
Peter WoolfCEO, ExtraorDNAVerified email at umich.edu
Yilun ChenPh.D., University of MichiganVerified email at umich.edu
Mohammad Al HasanProfessor of Computer Science, IUPUI, IN, USAVerified email at iupui.edu
Tanay Kumar SahaStaff ML Scientist, Sponsored Search, Walmart Global TechVerified email at purdue.edu
Mahmudur RahmanMicrosoftVerified email at microsoft.com

Kevin S. Xu

Assistant Professor, Department of Computer and Data Sciences, Case Western Reserve University

Verified email at case.edu - Homepage

Machine Learning Network Science Data Mining Biomedical Informatics Wearable Computing


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Dynamic stochastic blockmodels for time-evolving social networks KS Xu, AO Hero III IEEE Journal of Selected Topics in Signal Processing 8 (4), 552-562, 2014	230	2014
Adaptive evolutionary clustering KS Xu, M Kliger, AO Hero III Data Mining and Knowledge Discovery 28 (2), 304-336, 2014	166	2014
Consistent estimation of dynamic and multi-layer block models Q Han, KS Xu, EM Airoldi Proceedings of The 32nd International Conference on Machine Learning, 1511-1520, 2015	133	2015
Stochastic block transition models for dynamic networks KS Xu Proceedings of the 18th International Conference on Artificial Intelligence …, 2015	105	2015
Dynamic stochastic blockmodels: Statistical models for time-evolving networks KS Xu, AO Hero III Proceedings of the 6th International Conference on Social Computing …, 2013	90	2013
A regularized graph layout framework for dynamic network visualization KS Xu, M Kliger, AO Hero III Data Mining and Knowledge Discovery 27 (1), 84-116, 2013	46	2013
Tracking communities in dynamic social networks KS Xu, M Kliger, AO Hero III Proceedings of the 4th International Conference on Social Computing …, 2011	42	2011
Evolutionary spectral clustering with adaptive forgetting factor KS Xu, M Kliger, AO Hero III Proceedings of the IEEE International Conference on Acoustics, Speech, and …, 2010	42	2010
Multi-criteria anomaly detection using Pareto depth analysis KJ Hsiao, KS Xu, J Calder, AO Hero III Advances in Neural Information Processing Systems 25, 854-862, 2012	39	2012
Revealing social networks of spammers through spectral clustering KS Xu, M Kliger, Y Chen, PJ Woolf, AO Hero III Proceedings of the IEEE International Conference on Communications, 2009	38	2009
DyLink2Vec: Effective Feature Representation for Link Prediction in Dynamic Networks M Rahman, TK Saha, MA Hasan, KS Xu, CK Reddy arXiv preprint arXiv:1804.05755, 2018	37	2018
Regularized parametric regression for high-dimensional survival analysis Y Li, KS Xu, CK Reddy Proceedings of SIAM International Conference on Data Mining, 2016	34	2016
Unsupervised motion artifact detection in wrist-measured electrodermal activity data Y Zhang, M Haghdan, KS Xu Proceedings of the 21st ACM International Symposium on Wearable Computers, 54-57, 2017	33	2017
A compressed sensing based decomposition of electrodermal activity signals S Jain, U Oswal, KS Xu, B Eriksson, J Haupt IEEE Transactions on Biomedical Engineering 64 (9), 2142-2151, 2017	33	2017
The block point process model for continuous-time event-based dynamic networks R Junuthula, M Haghdan, KS Xu, V Devabhaktuni The World Wide Web Conference, 829-839, 2019	30	2019
Multicriteria similarity-based anomaly detection using Pareto depth analysis KJ Hsiao, KS Xu, J Calder, AO Hero IEEE Transactions on Neural Networks and Learning Systems 27 (6), 1307-1321, 2016	27	2016
Evaluating link prediction accuracy on dynamic networks with added and removed edges RR Junuthula, KS Xu, VK Devabhaktuni Proceedings of the 9th IEEE International Conference on Social Computing and …, 2016	26	2016
CHIP: A Hawkes Process Model for Continuous-time Networks with Scalable and Consistent Estimation M Arastuie, S Paul, K Xu Advances in Neural Information Processing Systems 33, 2020	15*	2020
Detecting divisions of the autonomic nervous system using wearables A Natarajan, KS Xu, B Eriksson Proceedings of the 38th Annual International Conference of the IEEE …, 2016	13	2016
A shrinkage approach to tracking dynamic networks KS Xu, M Kliger, AO Hero III Proceedings of the IEEE Workshop on Statistical Signal Processing, 517-520, 2011	12	2011

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