Kevin S. Xu - RankMe

69 papers A* 4A 4B 1C 1Misc 2Journal 34Unranked 20

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Spectral clustering for dependent community Hawkes process models of temporal networks. CoRR Lingfei Zhao, Hadeel Soliman, Kevin S. Xu, Subhadeep Paul
2025	—	`conf`	Temporal Motif Participation Profiles for Analyzing Node Similarity in Temporal Networks. ASONAM (1) Maxwell C. Lee, Kevin S. Xu
2024	—	`conf`	Minimizing Survey Questions for PTSD Prediction Following Acute Trauma. AIME (1) Ben Kurzion, Chia-Hao Shih, Hong Xie, Xin Wang, Kevin S. Xu
2023	J	`jnl`	Predicting kidney transplant survival using multiple feature representations for HLAs. Artif. Intell. Medicine Mohammadreza Nemati, Haonan Zhang, Michael Sloma, Dulat Bekbolsynov, Hong Wang, Stanislaw Stepkowski, Kevin S. Xu
2022	J	`jnl`	A Hybrid Adjacency and Time-Based Data Structure for Analysis of Temporal Networks. CoRR Tanner Hilsabeck, Makan Arastuie, Kevin S. Xu
2022	—	`conf`	A Latent Space Model for HLA Compatibility Networks in Kidney Transplantation. BIBM Zhipeng Huang, Kevin S. Xu
2022	J	`jnl`	A Mutually Exciting Latent Space Hawkes Process Model for Continuous-time Networks. CoRR Zhipeng Huang, Hadeel Soliman, Subhadeep Paul, Kevin S. Xu
2022	J	`jnl`	A hybrid adjacency and time-based data structure for analysis of temporal networks. Appl. Netw. Sci. Tanner Hilsabeck, Makan Arastuie, Kevin S. Xu
2022	A	`conf`	A mutually exciting latent space Hawkes process model for continuous-time networks. UAI Zhipeng Huang, Hadeel Soliman, Subhadeep Paul, Kevin S. Xu
2022	—	`conf`	Counteracting Filter Bubbles with Homophily-Aware Link Recommendations. SBP-BRiMS Robert Warton, Chris Volny, Kevin S. Xu
2022	A*	`conf`	The Multivariate Community Hawkes Model for Dependent Relational Events in Continuous-time Networks. ICML Hadeel Soliman, Lingfei Zhao, Zhipeng Huang, Subhadeep Paul, Kevin S. Xu
2022	J	`jnl`	The Multivariate Community Hawkes Model for Dependent Relational Events in Continuous-time Networks. CoRR Hadeel Soliman, Lingfei Zhao, Zhipeng Huang, Subhadeep Paul, Kevin S. Xu
2021	—	`conf`	A Hybrid Adjacency and Time-Based Data Structure for Analysis of Temporal Networks. COMPLEX NETWORKS Tanner Hilsabeck, Makan Arastuie, Kevin S. Xu
2021	—	`conf`	Analyzing Escalations in Militarized Interstate Disputes Using Motifs in Temporal Networks. COMPLEX NETWORKS Hung N. Do, Kevin S. Xu
2021	—	`conf`	Empirical Comparison of Continuous and Discrete-time Representations for Survival Prediction. SPACA Michael Sloma, Fayeq Syed, Mohammedreza Nemati, Kevin S. Xu
2021	J	`jnl`	Learning User Embeddings from Temporal Social Media Data: A Survey. CoRR Fatema Hasan, Kevin S. Xu, James R. Foulds, Shimei Pan
2021	B	`conf`	Predicting Kidney Transplant Survival Using Multiple Feature Representations for HLAs. AIME Mohammadreza Nemati, Haonan Zhang, Michael Sloma, Dulat Bekbolsynov, Hong Wang, Stanislaw Stepkowski, Kevin S. Xu
2021	J	`jnl`	Predicting Kidney Transplant Survival using Multiple Feature Representations for HLAs. CoRR Mohammadreza Nemati, Haonan Zhang, Michael Sloma, Dulat Bekbolsynov, Hong Wang, Stanislaw Stepkowski, Kevin S. Xu
2020	A*	`conf`	CHIP: A Hawkes Process Model for Continuous-time Networks with Scalable and Consistent Estimation. NeurIPS Makan Arastuie, Subhadeep Paul, Kevin S. Xu
2020	—	`conf`	Classification of PTSD and Non-PTSD Using Cortical Structural Measures in Machine Learning Analyses - Preliminary Study of ENIGMA-Psychiatric Genomics Consortium PTSD Workgroup. BI Brian O'Leary, Chia-Hao Shih, Tian Chen, Hong Xie, Andrew S. Cotton, Kevin S. Xu, Rajendra A. Morey, Xin Wang
2019	J	`jnl`	Consistent Community Detection in Continuous-Time Networks of Relational Events. CoRR Makan Arastuie, Subhadeep Paul, Kevin S. Xu
2019	—	`conf`	Continuous-Time Simulation of Epidemic Processes on Dynamic Interaction Networks. SBP-BRiMS Rehan Ahmad, Kevin S. Xu
2019	—	`ch.`	Effects of Activity Recognition Window Size and Time Stabilization in the SHL Recognition Challenge. Human Activity Sensing Michael Sloma, Makan Arastuie, Kevin S. Xu
2019	—	`conf`	Personalized Degrees: Effects on Link Formation in Dynamic Networks from an Egocentric Perspective. WWW (Companion Volume) Makan Arastuie, Kevin S. Xu
2019	A*	`conf`	The Block Point Process Model for Continuous-time Event-based Dynamic Networks. WWW Ruthwik R. Junuthula, Maysam Haghdan, Kevin S. Xu, Vijay K. Devabhaktuni
2018	—	`conf`	Activity Recognition by Classification with Time Stabilization for the SHL Recognition Challenge. UbiComp/ISWC Adjunct Michael Sloma, Makan Arastuie, Kevin S. Xu
2018	—	`conf`	Block CUR: Decomposing Matrices Using Groups of Columns. ECML/PKDD (2) Urvashi Oswal, Swayambhoo Jain, Kevin S. Xu, Brian Eriksson
2018	J	`jnl`	DyLink2Vec: Effective Feature Representation for Link Prediction in Dynamic Networks. CoRR Mahmudur Rahman, Tanay Kumar Saha, Mohammad Al Hasan, Kevin S. Xu, Chandan K. Reddy
2018	A	`conf`	Leveraging Friendship Networks for Dynamic Link Prediction in Social Interaction Networks. ICWSM Ruthwik R. Junuthula, Kevin S. Xu, Vijay K. Devabhaktuni
2018	J	`jnl`	Leveraging Friendship Networks for Dynamic Link Prediction in Social Interaction Networks. CoRR Ruthwik R. Junuthula, Kevin S. Xu, Vijay K. Devabhaktuni
2018	C	`conf`	Pilot Skill Level and Workload Prediction for Sliding-Scale Autonomy. ICMLA Sai K. R. Nittala, Colin P. Elkin, Jay M. Kiker, Robert Meyer, James Curro, Ali K. Reiter, Kevin S. Xu, Vijay K. Devabhaktuni
2017	J	`jnl`	A Compressed Sensing Based Decomposition of Electrodermal Activity Signals. IEEE Trans. Biomed. Eng. Swayambhoo Jain, Urvashi Oswal, Kevin S. Xu, Brian Eriksson, Jarvis D. Haupt
2017	J	`jnl`	Block CUR : Decomposing Large Distributed Matrices. CoRR Urvashi Oswal, Swayambhoo Jain, Kevin S. Xu, Brian Eriksson
2017	—	`conf`	Effects of Contact Network Models on Stochastic Epidemic Simulations. SocInfo (2) Rehan Ahmad, Kevin S. Xu
2017	J	`jnl`	Effects of Contact Network Models on Stochastic Epidemic Simulations. CoRR Rehan Ahmad, Kevin S. Xu
2017	J	`jnl`	Link Formation in Egocentric Networks: Impacts of Local Degrees and Implications for Link Recommendation. CoRR Makan Arastuie, Kevin S. Xu
2017	J	`jnl`	The Block Point Process Model for Continuous-Time Event-Based Dynamic Networks. CoRR Ruthwik R. Junuthula, Maysam Haghdan, Kevin S. Xu, Vijay K. Devabhaktuni
2017	J	`jnl`	Unsupervised Motion Artifact Detection in Wrist-Measured Electrodermal Activity Data. CoRR Yuning Zhang, Maysam Haghdan, Kevin S. Xu
2017	Misc	`conf`	Unsupervised motion artifact detection in wrist-measured electrodermal activity data. ISWC Yuning Zhang, Maysam Haghdan, Kevin S. Xu
2016	J	`jnl`	A Compressed Sensing Based Decomposition of Electrodermal Activity Signals. CoRR Swayambhoo Jain, Urvashi Oswal, Kevin S. Xu, Brian Eriksson, Jarvis D. Haupt
2016	—	`conf`	Detecting divisions of the autonomic nervous system using wearables. EMBC Annamalai Natarajan, Kevin S. Xu, Brian Eriksson
2016	—	`conf`	Evaluating Link Prediction Accuracy in Dynamic Networks with Added and Removed Edges. BDCloud-SocialCom-SustainCom Ruthwik R. Junuthula, Kevin S. Xu, Vijay K. Devabhaktuni
2016	J	`jnl`	Evaluating Link Prediction Accuracy on Dynamic Networks with Added and Removed Edges. CoRR Ruthwik R. Junuthula, Kevin S. Xu, Vijay K. Devabhaktuni
2016	J	`jnl`	Guest Editorial on Social Computing, Behavioral-Cultural Modeling and Prediction. IEEE Trans. Comput. Soc. Syst. Kevin S. Xu, Nitin Agarwal, Dongwon Lee, Nathaniel Osgood
2016	J	`jnl`	Multicriteria Similarity-Based Anomaly Detection Using Pareto Depth Analysis. IEEE Trans. Neural Networks Learn. Syst. Ko-Jen Hsiao, Kevin S. Xu, Jeff Calder, Alfred O. Hero III
2016	—	`conf`	Performance Enhanced Multiset Similarity Joins. BDCloud-SocialCom-SustainCom Jahnavi Yalamanchili, Robert C. Green II, Kevin S. Xu, Vijay K. Devabhaktuni
2016	A	`conf`	Regularized Parametric Regression for High-dimensional Survival Analysis. SDM Yan Li, Kevin S. Xu, Chandan K. Reddy
2016	—	`ed.`	Social, Cultural, and Behavioral Modeling, 9th International Conference, SBP-BRiMS 2016, Washington, DC, USA, June 28 - July 1, 2016, Proceedings SBP-BRiMS Kevin S. Xu, David Reitter, Dongwon Lee, Nathaniel Osgood
2015	A*	`conf`	Consistent estimation of dynamic and multi-layer block models. ICML Qiuyi Han, Kevin S. Xu, Edoardo M. Airoldi
2015	J	`jnl`	Multi-criteria Similarity-based Anomaly Detection using Pareto Depth Analysis. CoRR Ko-Jen Hsiao, Kevin S. Xu, Jeff Calder, Alfred O. Hero III
2015	—	`ed.`	Social Computing, Behavioral-Cultural Modeling, and Prediction - 8th International Conference, SBP 2015, Washington, DC, USA, March 31-April 3, 2015. Proceedings SBP Nitin Agarwal, Kevin S. Xu, Nathaniel Osgood
2015	A	`conf`	Stochastic Block Transition Models for Dynamic Networks. AISTATS Kevin S. Xu
2014	J	`jnl`	Adaptive evolutionary clustering. Data Min. Knowl. Discov. Kevin S. Xu, Mark Kliger, Alfred O. Hero III
2014	J	`jnl`	Consistent Estimation of Dynamic and Multi-layer Networks. CoRR Qiuyi Han, Kevin S. Xu, Edoardo M. Airoldi
2014	J	`jnl`	Dynamic Stochastic Blockmodels for Time-Evolving Social Networks. IEEE J. Sel. Top. Signal Process. Kevin S. Xu, Alfred O. Hero III
2014	J	`jnl`	Dynamic stochastic blockmodels for time-evolving social networks. CoRR Kevin S. Xu, Alfred O. Hero III
2014	J	`jnl`	Stochastic Block Transition Models for Dynamic Networks. CoRR Kevin S. Xu
2013	J	`jnl`	A regularized graph layout framework for dynamic network visualization. Data Min. Knowl. Discov. Kevin S. Xu, Mark Kliger, Alfred O. Hero III
2013	—	`conf`	Dynamic Stochastic Blockmodels: Statistical Models for Time-Evolving Networks. SBP Kevin S. Xu, Alfred O. Hero III
2013	J	`jnl`	Dynamic stochastic blockmodels: Statistical models for time-evolving networks CoRR Kevin S. Xu, Alfred O. Hero III
2013	J	`jnl`	Predictability of social interactions. CoRR Kevin S. Xu
2013	J	`jnl`	Revealing social networks of spammers through spectral clustering CoRR Kevin S. Xu, Mark Kliger, Yilun Chen, Peter J. Woolf, Alfred O. Hero III
2012	J	`jnl`	A Regularized Graph Layout Framework for Dynamic Network Visualization CoRR Kevin S. Xu, Mark Kliger, Alfred O. Hero III
2012	—	`conf`	Multi-criteria Anomaly Detection using Pareto Depth Analysis. NIPS Ko-Jen Hsiao, Kevin S. Xu, Jeff Calder, Alfred O. Hero III
2011	J	`jnl`	Adaptive Evolutionary Clustering CoRR Kevin S. Xu, Mark Kliger, Alfred O. Hero III
2011	J	`jnl`	Multi-criteria Anomaly Detection using Pareto Depth Analysis CoRR Ko-Jen Hsiao, Kevin S. Xu, Alfred O. Hero III
2011	—	`conf`	Tracking Communities in Dynamic Social Networks. SBP Kevin S. Xu, Mark Kliger, Alfred O. Hero III
2010	Misc	`conf`	Evolutionary spectral clustering with adaptive forgetting factor. ICASSP Kevin S. Xu, Mark Kliger, Alfred O. Hero III
2009	—	`conf`	Revealing Social Networks of Spammers Through Spectral Clustering. ICC Kevin S. Xu, Mark Kliger, Yilun Chen, Peter J. Woolf, Alfred O. Hero III