Revealing Social Networks of Spammers Through Spectral Clustering. - Kevin S. Xu 001; Mark Kliger; Yilun Chen; Peter J. Woolf; Alfred O. Hero III (ICC, 2009)

Evolutionary spectral clustering with adaptive forgetting factor. - Kevin S. Xu 001; Mark Kliger; Alfred O. Hero III (ICASSP, 2010)

Tracking Communities in Dynamic Social Networks. - Kevin S. Xu 001; Mark Kliger; Alfred O. Hero III (SBP, 2011)

Multi-criteria Anomaly Detection using Pareto Depth Analysis - Ko-Jen Hsiao; Kevin S. Xu 001; Alfred O. Hero III (CoRR, 2011)

Multi-criteria Anomaly Detection using Pareto Depth Analysis. - Ko-Jen Hsiao; Kevin S. Xu 001; Jeff Calder; Alfred O. Hero III (NIPS, 2012)

Dynamic Stochastic Blockmodels: Statistical Models for Time-Evolving Networks. - Kevin S. Xu 001; Alfred O. Hero III (SBP, 2013)

Predictability of social interactions. - Kevin S. Xu 001 (CoRR, 2013)

A regularized graph layout framework for dynamic network visualization. - Kevin S. Xu 001; Mark Kliger; Alfred O. Hero III (Data Min. Knowl. Discov., 2013)

Consistent Estimation of Dynamic and Multi-layer Networks. - Qiuyi Han; Kevin S. Xu 001; Edoardo M. Airoldi (CoRR, 2014)

Adaptive evolutionary clustering. - Kevin S. Xu 001; Mark Kliger; Alfred O. Hero III (Data Min. Knowl. Discov., 2014)

Dynamic Stochastic Blockmodels for Time-Evolving Social Networks. - Kevin S. Xu 001; Alfred O. Hero III (IEEE J. Sel. Top. Signal Process., 2014)

Stochastic Block Transition Models for Dynamic Networks. - Kevin S. Xu 001 (AISTATS, 2015)

Consistent estimation of dynamic and multi-layer block models. - Qiuyi Han; Kevin S. Xu 001; Edoardo M. Airoldi (ICML, 2015)

Multi-criteria Similarity-based Anomaly Detection using Pareto Depth Analysis. - Ko-Jen Hsiao; Kevin S. Xu 001; Jeff Calder; Alfred O. Hero III (CoRR, 2015)

Evaluating Link Prediction Accuracy in Dynamic Networks with Added and Removed Edges. - Ruthwik R. Junuthula; Kevin S. Xu 001; Vijay K. Devabhaktuni (BDCloud-SocialCom-SustainCom, 2016)

Performance Enhanced Multiset Similarity Joins. - Jahnavi Yalamanchili; Robert C. Green II; Kevin S. Xu 001; Vijay K. Devabhaktuni (BDCloud-SocialCom-SustainCom, 2016)

Detecting divisions of the autonomic nervous system using wearables. - Annamalai Natarajan; Kevin S. Xu 001; Brian Eriksson (EMBC, 2016)

Regularized Parametric Regression for High-dimensional Survival Analysis. - Yan Li 052; Kevin S. Xu 001; Chandan K. Reddy (SDM, 2016)

Guest Editorial on Social Computing, Behavioral-Cultural Modeling and Prediction. - Kevin S. Xu 001; Nitin Agarwal 001; Dongwon Lee 001; Nathaniel Osgood (IEEE Trans. Comput. Soc. Syst., 2016)

Multicriteria Similarity-Based Anomaly Detection Using Pareto Depth Analysis. - Ko-Jen Hsiao; Kevin S. Xu 001; Jeff Calder; Alfred O. Hero III (IEEE Trans. Neural Networks Learn. Syst., 2016)

Unsupervised motion artifact detection in wrist-measured electrodermal activity data. - Yuning Zhang; Maysam Haghdan; Kevin S. Xu 001 (ISWC, 2017)

Effects of Contact Network Models on Stochastic Epidemic Simulations. - Rehan Ahmad; Kevin S. Xu 001 (SocInfo (2), 2017)

Block CUR : Decomposing Large Distributed Matrices. - Urvashi Oswal; Swayambhoo Jain; Kevin S. Xu 001; Brian Eriksson (CoRR, 2017)

Link Formation in Egocentric Networks: Impacts of Local Degrees and Implications for Link Recommendation. - Makan Arastuie; Kevin S. Xu 001 (CoRR, 2017)

A Compressed Sensing Based Decomposition of Electrodermal Activity Signals. - Swayambhoo Jain; Urvashi Oswal; Kevin S. Xu 001; Brian Eriksson; Jarvis D. Haupt (IEEE Trans. Biomed. Eng., 2017)

Activity Recognition by Classification with Time Stabilization for the SHL Recognition Challenge. - Michael Sloma; Makan Arastuie; Kevin S. Xu 001 (UbiComp/ISWC Adjunct, 2018)

Pilot Skill Level and Workload Prediction for Sliding-Scale Autonomy. - Sai K. R. Nittala; Colin P. Elkin; Jay M. Kiker; Robert Meyer; James Curro; Ali K. Reiter; Kevin S. Xu 001; Vijay K. Devabhaktuni (ICMLA, 2018)

Leveraging Friendship Networks for Dynamic Link Prediction in Social Interaction Networks. - Ruthwik R. Junuthula; Kevin S. Xu 001; Vijay K. Devabhaktuni (ICWSM, 2018)

Block CUR: Decomposing Matrices Using Groups of Columns. - Urvashi Oswal; Swayambhoo Jain; Kevin S. Xu 001; Brian Eriksson (ECML/PKDD (2), 2018)

DyLink2Vec: Effective Feature Representation for Link Prediction in Dynamic Networks. - Mahmudur Rahman; Tanay Kumar Saha; Mohammad Al Hasan; Kevin S. Xu 001; Chandan K. Reddy (CoRR, 2018)

Effects of Activity Recognition Window Size and Time Stabilization in the SHL Recognition Challenge. - Michael Sloma; Makan Arastuie; Kevin S. Xu 001 (Human Activity Sensing, 2019)

Continuous-Time Simulation of Epidemic Processes on Dynamic Interaction Networks. - Rehan Ahmad; Kevin S. Xu 001 (SBP-BRiMS, 2019)

Personalized Degrees: Effects on Link Formation in Dynamic Networks from an Egocentric Perspective. - Makan Arastuie; Kevin S. Xu 001 (WWW (Companion Volume), 2019)

The Block Point Process Model for Continuous-time Event-based Dynamic Networks. - Ruthwik R. Junuthula; Maysam Haghdan; Kevin S. Xu 001; Vijay K. Devabhaktuni (WWW, 2019)

Consistent Community Detection in Continuous-Time Networks of Relational Events. - Makan Arastuie; Subhadeep Paul; Kevin S. Xu 001 (CoRR, 2019)

Classification of PTSD and Non-PTSD Using Cortical Structural Measures in Machine Learning Analyses - Preliminary Study of ENIGMA-Psychiatric Genomics Consortium PTSD Workgroup. - Brian O'Leary; Chia-Hao Shih; Tian Chen; Hong Xie; Andrew S. Cotton; Kevin S. Xu 001; Rajendra A. Morey; Xin Wang 090 (BI, 2020)

CHIP: A Hawkes Process Model for Continuous-time Networks with Scalable and Consistent Estimation. - Makan Arastuie; Subhadeep Paul; Kevin S. Xu 001 (NeurIPS, 2020)

Analyzing Escalations in Militarized Interstate Disputes Using Motifs in Temporal Networks. - Hung N. Do; Kevin S. Xu 001 (COMPLEX NETWORKS, 2021)

Empirical Comparison of Continuous and Discrete-time Representations for Survival Prediction. - Michael Sloma; Fayeq Syed; Mohammedreza Nemati; Kevin S. Xu 001 (SPACA, 2021)

Learning User Embeddings from Temporal Social Media Data: A Survey. - Fatema Hasan; Kevin S. Xu 001; James R. Foulds; Shimei Pan (CoRR, 2021)

A Latent Space Model for HLA Compatibility Networks in Kidney Transplantation. - Zhipeng Huang 011; Kevin S. Xu 001 (BIBM, 2022)

The Multivariate Community Hawkes Model for Dependent Relational Events in Continuous-time Networks. - Hadeel Soliman; Lingfei Zhao; Zhipeng Huang 011; Subhadeep Paul; Kevin S. Xu 001 (ICML, 2022)

Counteracting Filter Bubbles with Homophily-Aware Link Recommendations. - Robert Warton; Chris Volny; Kevin S. Xu 001 (SBP-BRiMS, 2022)

A mutually exciting latent space Hawkes process model for continuous-time networks. - Zhipeng Huang 011; Hadeel Soliman; Subhadeep Paul; Kevin S. Xu 001 (UAI, 2022)

A hybrid adjacency and time-based data structure for analysis of temporal networks. - Tanner Hilsabeck; Makan Arastuie; Kevin S. Xu 001 (Appl. Netw. Sci., 2022)

Predicting kidney transplant survival using multiple feature representations for HLAs. - Mohammadreza Nemati; Haonan Zhang; Michael Sloma; Dulat Bekbolsynov; Hong Wang 007; Stanislaw Stepkowski; Kevin S. Xu 001 (Artif. Intell. Medicine, 2023)

Minimizing Survey Questions for PTSD Prediction Following Acute Trauma. - Ben Kurzion; Chia-Hao Shih; Hong Xie; Xin Wang 090; Kevin S. Xu 001 (AIME (1), 2024)

Spectral clustering for dependent community Hawkes process models of temporal networks. - Lingfei Zhao; Hadeel Soliman; Kevin S. Xu 001; Subhadeep Paul (CoRR, 2025)