Kevin S. Xu

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 44

Top Topics

Dynamic Networks

Link Prediction

Feature Representation

Social Media Data

Top Venues

BDCloud-SocialCom-SustainCom

Publications

Ben Kurzion, Chia-Hao Shih, Hong Xie, Xin Wang, Kevin S. Xu
Minimizing Survey Questions for PTSD Prediction Following Acute Trauma. AIME (1) (2024)
Mohammadreza Nemati, Haonan Zhang, Michael Sloma, Dulat Bekbolsynov, Hong Wang, Stanislaw Stepkowski, Kevin S. Xu
Predicting kidney transplant survival using multiple feature representations for HLAs. Artif. Intell. Medicine 145 (2023)
Hadeel Soliman, Lingfei Zhao, Zhipeng Huang, Subhadeep Paul, Kevin S. Xu
The Multivariate Community Hawkes Model for Dependent Relational Events in Continuous-time Networks. CoRR (2022)
Tanner Hilsabeck, Makan Arastuie, Kevin S. Xu
A Hybrid Adjacency and Time-Based Data Structure for Analysis of Temporal Networks. CoRR (2022)
Zhipeng Huang, Hadeel Soliman, Subhadeep Paul, Kevin S. Xu
A mutually exciting latent space Hawkes process model for continuous-time networks. UAI (2022)
Zhipeng Huang, Hadeel Soliman, Subhadeep Paul, Kevin S. Xu
A Mutually Exciting Latent Space Hawkes Process Model for Continuous-time Networks. CoRR (2022)
Tanner Hilsabeck, Makan Arastuie, Kevin S. Xu
A hybrid adjacency and time-based data structure for analysis of temporal networks. Appl. Netw. Sci. 7 (1) (2022)
Zhipeng Huang, Kevin S. Xu
A Latent Space Model for HLA Compatibility Networks in Kidney Transplantation. BIBM (2022)
Robert Warton, Chris Volny, Kevin S. Xu
Counteracting Filter Bubbles with Homophily-Aware Link Recommendations. SBP-BRiMS (2022)
Hadeel Soliman, Lingfei Zhao, Zhipeng Huang, Subhadeep Paul, Kevin S. Xu
The Multivariate Community Hawkes Model for Dependent Relational Events in Continuous-time Networks. ICML (2022)
Fatema Hasan, Kevin S. Xu, James R. Foulds, Shimei Pan
Learning User Embeddings from Temporal Social Media Data: A Survey. CoRR (2021)
Mohammadreza Nemati, Haonan Zhang, Michael Sloma, Dulat Bekbolsynov, Hong Wang, Stanislaw Stepkowski, Kevin S. Xu
Predicting Kidney Transplant Survival Using Multiple Feature Representations for HLAs. AIME (2021)
Hung N. Do, Kevin S. Xu
Analyzing Escalations in Militarized Interstate Disputes Using Motifs in Temporal Networks. COMPLEX NETWORKS (2021)
Michael Sloma, Fayeq Syed, Mohammedreza Nemati, Kevin S. Xu
Empirical Comparison of Continuous and Discrete-time Representations for Survival Prediction. SPACA (2021)
Mohammadreza Nemati, Haonan Zhang, Michael Sloma, Dulat Bekbolsynov, Hong Wang, Stanislaw Stepkowski, Kevin S. Xu
Predicting Kidney Transplant Survival using Multiple Feature Representations for HLAs. CoRR (2021)
Tanner Hilsabeck, Makan Arastuie, Kevin S. Xu
A Hybrid Adjacency and Time-Based Data Structure for Analysis of Temporal Networks. COMPLEX NETWORKS (2021)
Makan Arastuie, Subhadeep Paul, Kevin S. Xu
CHIP: A Hawkes Process Model for Continuous-time Networks with Scalable and Consistent Estimation. NeurIPS (2020)
Brian O'Leary, Chia-Hao Shih, Tian Chen, Hong Xie, Andrew S. Cotton, Kevin S. Xu, Rajendra Morey, Xin Wang
Classification of PTSD and Non-PTSD Using Cortical Structural Measures in Machine Learning Analyses - Preliminary Study of ENIGMA-Psychiatric Genomics Consortium PTSD Workgroup. BI (2020)
Ruthwik R. Junuthula, Maysam Haghdan, Kevin S. Xu, Vijay K. Devabhaktuni
The Block Point Process Model for Continuous-time Event-based Dynamic Networks. WWW (2019)
Makan Arastuie, Kevin S. Xu
Personalized Degrees: Effects on Link Formation in Dynamic Networks from an Egocentric Perspective. WWW (Companion Volume) (2019)
Makan Arastuie, Subhadeep Paul, Kevin S. Xu
Consistent Community Detection in Continuous-Time Networks of Relational Events. CoRR (2019)
Rehan Ahmad, Kevin S. Xu
Continuous-Time Simulation of Epidemic Processes on Dynamic Interaction Networks. SBP-BRiMS (2019)
Sai K. R. Nittala, Colin P. Elkin, Jay M. Kiker, Robert Meyer, James Curro, Ali K. Reiter, Kevin S. Xu, Vijay K. Devabhaktuni
Pilot Skill Level and Workload Prediction for Sliding-Scale Autonomy. ICMLA (2018)
Urvashi Oswal, Swayambhoo Jain, Kevin S. Xu, Brian Eriksson
Block CUR: Decomposing Matrices Using Groups of Columns. ECML/PKDD (2) (2018)
Michael Sloma, Makan Arastuie, Kevin S. Xu
Activity Recognition by Classification with Time Stabilization for the SHL Recognition Challenge. UbiComp/ISWC Adjunct (2018)
Ruthwik R. Junuthula, Kevin S. Xu, Vijay K. Devabhaktuni
Leveraging Friendship Networks for Dynamic Link Prediction in Social Interaction Networks. CoRR (2018)
Ruthwik R. Junuthula, Kevin S. Xu, Vijay K. Devabhaktuni
Leveraging Friendship Networks for Dynamic Link Prediction in Social Interaction Networks. ICWSM (2018)
Mahmudur Rahman, Tanay Kumar Saha, Mohammad Al Hasan, Kevin S. Xu, Chandan K. Reddy
DyLink2Vec: Effective Feature Representation for Link Prediction in Dynamic Networks. CoRR (2018)
Makan Arastuie, Kevin S. Xu
Link Formation in Egocentric Networks: Impacts of Local Degrees and Implications for Link Recommendation. CoRR (2017)
Rehan Ahmad, Kevin S. Xu
Effects of Contact Network Models on Stochastic Epidemic Simulations. CoRR (2017)
Swayambhoo Jain, Urvashi Oswal, Kevin S. Xu, Brian Eriksson, Jarvis D. Haupt
A Compressed Sensing Based Decomposition of Electrodermal Activity Signals. IEEE Trans. Biomed. Eng. 64 (9) (2017)
Rehan Ahmad, Kevin S. Xu
Effects of Contact Network Models on Stochastic Epidemic Simulations. SocInfo (2) (2017)
Yuning Zhang, Maysam Haghdan, Kevin S. Xu
Unsupervised motion artifact detection in wrist-measured electrodermal activity data. ISWC (2017)
Yuning Zhang, Maysam Haghdan, Kevin S. Xu
Unsupervised Motion Artifact Detection in Wrist-Measured Electrodermal Activity Data. CoRR (2017)
Ruthwik R. Junuthula, Maysam Haghdan, Kevin S. Xu, Vijay K. Devabhaktuni
The Block Point Process Model for Continuous-Time Event-Based Dynamic Networks. CoRR (2017)
Urvashi Oswal, Swayambhoo Jain, Kevin S. Xu, Brian Eriksson
Block CUR : Decomposing Large Distributed Matrices. CoRR (2017)
Kevin S. Xu, Nitin Agarwal, Dongwon Lee, Nathaniel Osgood
Guest Editorial on Social Computing, Behavioral-Cultural Modeling and Prediction. IEEE Trans. Comput. Soc. Syst. 3 (2) (2016)
Ruthwik R. Junuthula, Kevin S. Xu, Vijay K. Devabhaktuni
Evaluating Link Prediction Accuracy in Dynamic Networks with Added and Removed Edges. BDCloud-SocialCom-SustainCom (2016)
Swayambhoo Jain, Urvashi Oswal, Kevin S. Xu, Brian Eriksson, Jarvis D. Haupt
A Compressed Sensing Based Decomposition of Electrodermal Activity Signals. CoRR (2016)
Annamalai Natarajan, Kevin S. Xu, Brian Eriksson
Detecting divisions of the autonomic nervous system using wearables. EMBC (2016)
Ko-Jen Hsiao, Kevin S. Xu, Jeff Calder, Alfred O. Hero III
Multicriteria Similarity-Based Anomaly Detection Using Pareto Depth Analysis. IEEE Trans. Neural Networks Learn. Syst. 27 (6) (2016)
Ruthwik R. Junuthula, Kevin S. Xu, Vijay K. Devabhaktuni
Evaluating Link Prediction Accuracy on Dynamic Networks with Added and Removed Edges. CoRR (2016)
Yan Li, Kevin S. Xu, Chandan K. Reddy
Regularized Parametric Regression for High-dimensional Survival Analysis. SDM (2016)
Jahnavi Yalamanchili, Robert C. Green II, Kevin S. Xu, Vijay K. Devabhaktuni
Performance Enhanced Multiset Similarity Joins. BDCloud-SocialCom-SustainCom (2016)
Ko-Jen Hsiao, Kevin S. Xu, Jeff Calder, Alfred O. Hero III
Multi-criteria Similarity-based Anomaly Detection using Pareto Depth Analysis. CoRR (2015)
Kevin S. Xu
Stochastic Block Transition Models for Dynamic Networks. AISTATS (2015)
Qiuyi Han, Kevin S. Xu, Edoardo M. Airoldi
Consistent estimation of dynamic and multi-layer block models. ICML (2015)
Kevin S. Xu, Mark Kliger, Alfred O. Hero III
Adaptive evolutionary clustering. Data Min. Knowl. Discov. 28 (2) (2014)
Qiuyi Han, Kevin S. Xu, Edoardo M. Airoldi
Consistent Estimation of Dynamic and Multi-layer Networks. CoRR (2014)
Kevin S. Xu, Alfred O. Hero III
Dynamic Stochastic Blockmodels for Time-Evolving Social Networks. IEEE J. Sel. Top. Signal Process. 8 (4) (2014)
Kevin S. Xu, Alfred O. Hero III
Dynamic stochastic blockmodels for time-evolving social networks. CoRR (2014)
Kevin S. Xu
Stochastic Block Transition Models for Dynamic Networks. CoRR (2014)
Kevin S. Xu, Alfred O. Hero III
Dynamic Stochastic Blockmodels: Statistical Models for Time-Evolving Networks. SBP (2013)
Kevin S. Xu, Alfred O. Hero III
Dynamic stochastic blockmodels: Statistical models for time-evolving networks CoRR (2013)
Kevin S. Xu, Mark Kliger, Alfred O. Hero III
A regularized graph layout framework for dynamic network visualization. Data Min. Knowl. Discov. 27 (1) (2013)
Kevin S. Xu
Predictability of social interactions. CoRR (2013)
Kevin S. Xu, Mark Kliger, Yilun Chen, Peter J. Woolf, Alfred O. Hero III
Revealing social networks of spammers through spectral clustering CoRR (2013)
Ko-Jen Hsiao, Kevin S. Xu, Jeff Calder, Alfred O. Hero III
Multi-criteria Anomaly Detection using Pareto Depth Analysis. NIPS (2012)
Kevin S. Xu, Mark Kliger, Alfred O. Hero III
A Regularized Graph Layout Framework for Dynamic Network Visualization CoRR (2012)
Kevin S. Xu, Mark Kliger, Alfred O. Hero III
Tracking Communities in Dynamic Social Networks. SBP (2011)
Kevin S. Xu, Mark Kliger, Alfred O. Hero III
Adaptive Evolutionary Clustering CoRR (2011)
Ko-Jen Hsiao, Kevin S. Xu, Alfred O. Hero III
Multi-criteria Anomaly Detection using Pareto Depth Analysis CoRR (2011)
Kevin S. Xu, Mark Kliger, Alfred O. Hero III
Evolutionary spectral clustering with adaptive forgetting factor. ICASSP (2010)
Kevin S. Xu, Mark Kliger, Yilun Chen, Peter J. Woolf, Alfred O. Hero III
Revealing Social Networks of Spammers Through Spectral Clustering. ICC (2009)