Kevin S. Xu

According to our database1, Kevin S. Xu authored at least 37 papers between 2009 and 2020.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2020
CHIP: A Hawkes Process Model for Continuous-time Networks with Scalable and Consistent Estimation.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Classification of PTSD and Non-PTSD Using Cortical Structural Measures in Machine Learning Analyses - Preliminary Study of ENIGMA-Psychiatric Genomics Consortium PTSD Workgroup.
Proceedings of the Brain Informatics - 13th International Conference, 2020

2019
Consistent Community Detection in Continuous-Time Networks of Relational Events.
CoRR, 2019

The Block Point Process Model for Continuous-time Event-based Dynamic Networks.
Proceedings of the World Wide Web Conference, 2019

Personalized Degrees: Effects on Link Formation in Dynamic Networks from an Egocentric Perspective.
Proceedings of the Companion of The 2019 World Wide Web Conference, 2019

Continuous-Time Simulation of Epidemic Processes on Dynamic Interaction Networks.
Proceedings of the Social, Cultural, and Behavioral Modeling, 2019

Effects of Activity Recognition Window Size and Time Stabilization in the SHL Recognition Challenge.
Proceedings of the Human Activity Sensing - Corpus and Applications, 2019

2018
DyLink2Vec: Effective Feature Representation for Link Prediction in Dynamic Networks.
CoRR, 2018

Block CUR: Decomposing Matrices Using Groups of Columns.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2018

Leveraging Friendship Networks for Dynamic Link Prediction in Social Interaction Networks.
Proceedings of the Twelfth International Conference on Web and Social Media, 2018

Pilot Skill Level and Workload Prediction for Sliding-Scale Autonomy.
Proceedings of the 17th IEEE International Conference on Machine Learning and Applications, 2018

Activity Recognition by Classification with Time Stabilization for the SHL Recognition Challenge.
Proceedings of the 2018 ACM International Joint Conference and 2018 International Symposium on Pervasive and Ubiquitous Computing and Wearable Computers, 2018

2017
A Compressed Sensing Based Decomposition of Electrodermal Activity Signals.
IEEE Trans. Biomed. Eng., 2017

Link Formation in Egocentric Networks: Impacts of Local Degrees and Implications for Link Recommendation.
CoRR, 2017

Block CUR : Decomposing Large Distributed Matrices.
CoRR, 2017

Effects of Contact Network Models on Stochastic Epidemic Simulations.
Proceedings of the Social Informatics, 2017

Unsupervised motion artifact detection in wrist-measured electrodermal activity data.
Proceedings of the 2017 ACM International Symposium on Wearable Computers, 2017

2016
Multicriteria Similarity-Based Anomaly Detection Using Pareto Depth Analysis.
IEEE Trans. Neural Networks Learn. Syst., 2016

Guest Editorial on Social Computing, Behavioral-Cultural Modeling and Prediction.
IEEE Trans. Comput. Soc. Syst., 2016

Regularized Parametric Regression for High-dimensional Survival Analysis.
Proceedings of the 2016 SIAM International Conference on Data Mining, 2016

Detecting divisions of the autonomic nervous system using wearables.
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016

Performance Enhanced Multiset Similarity Joins.
Proceedings of the 2016 IEEE International Conferences on Big Data and Cloud Computing (BDCloud), 2016

Evaluating Link Prediction Accuracy in Dynamic Networks with Added and Removed Edges.
Proceedings of the 2016 IEEE International Conferences on Big Data and Cloud Computing (BDCloud), 2016

2015
Multi-criteria Similarity-based Anomaly Detection using Pareto Depth Analysis.
CoRR, 2015

Consistent estimation of dynamic and multi-layer block models.
Proceedings of the 32nd International Conference on Machine Learning, 2015

Stochastic Block Transition Models for Dynamic Networks.
Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, 2015

2014
Dynamic Stochastic Blockmodels for Time-Evolving Social Networks.
IEEE J. Sel. Top. Signal Process., 2014

Adaptive evolutionary clustering.
Data Min. Knowl. Discov., 2014

Consistent Estimation of Dynamic and Multi-layer Networks.
CoRR, 2014

2013
A regularized graph layout framework for dynamic network visualization.
Data Min. Knowl. Discov., 2013

Predictability of social interactions.
CoRR, 2013

Dynamic Stochastic Blockmodels: Statistical Models for Time-Evolving Networks.
Proceedings of the Social Computing, Behavioral-Cultural Modeling and Prediction, 2013

2012
Multi-criteria Anomaly Detection using Pareto Depth Analysis.
Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

2011
Multi-criteria Anomaly Detection using Pareto Depth Analysis
CoRR, 2011

Tracking Communities in Dynamic Social Networks.
Proceedings of the Social Computing, Behavioral-Cultural Modeling and Prediction, 2011

2010
Evolutionary spectral clustering with adaptive forgetting factor.
Proceedings of the IEEE International Conference on Acoustics, 2010

2009
Revealing Social Networks of Spammers Through Spectral Clustering.
Proceedings of IEEE International Conference on Communications, 2009


  Loading...