Kevin Shuai Xu
Kevin Shuai Xu
Assistant Professor, EECS Department, University of Toledo
Verified email at utoledo.edu - Homepage
Title
Cited by
Cited by
Year
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
1922014
Adaptive evolutionary clustering
KS Xu, M Kliger, AO Hero III
Data Mining and Knowledge Discovery 28 (2), 304-336, 2014
1422014
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
1072015
Stochastic block transition models for dynamic networks
KS Xu
Proceedings of the 18th International Conference on Artificial Intelligence …, 2015
962015
Dynamic stochastic blockmodels: Statistical models for time-evolving networks
KS Xu, AO Hero III
Proceedings of the 6th International Conference on Social Computing …, 2013
892013
Tracking communities in dynamic social networks
KS Xu, M Kliger, AO Hero III
Proceedings of the 4th International Conference on Social Computing …, 2011
452011
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
422013
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
402010
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
382009
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
372012
Regularized parametric regression for high-dimensional survival analysis
Y Li, KS Xu, CK Reddy
Proceedings of SIAM International Conference on Data Mining, 2016
302016
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
282018
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
282017
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
232017
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
232016
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
202019
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
202016
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
112016
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
112011
Visualizing the temporal evolution of dynamic networks
KS Xu, M Kliger, AO Hero III
Proceedings of the 9th Workshop on Mining and Learning with Graphs, 2011
92011
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Articles 1–20