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ORCIDKevin S. Xu 0001
Person information
- affiliation: University of Toledo, Computer Science Department, OH, USA
- affiliation: Technicolor, Los Altos, CA, USA
- affiliation: 3M, Saint Paul, MN, USA
- affiliation (PhD 2012): University of Michigan, Department of Electrical Engineering and Computer Science, Ann Arbor, MI, USA
Other persons with the same name
- Kevin S. Xu 0002 — Changzhou University, China
- Kevin S. Xu 0003 — Case Western Reserve University, Cleveland, OH, USA
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2020 – today
- 2023
[j8]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: 102675 (2023)- 2022
- [j7]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): 44 (2022) - [c30]Zhipeng Huang, Kevin S. Xu:
A Latent Space Model for HLA Compatibility Networks in Kidney Transplantation. BIBM 2022: 1020-1027 - [c29]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: 20329-20346 - [c28]Robert Warton, Chris Volny, Kevin S. Xu
:
Counteracting Filter Bubbles with Homophily-Aware Link Recommendations. SBP-BRiMS 2022: 155-164 - [c27]Zhipeng Huang, Hadeel Soliman, Subhadeep Paul, Kevin S. Xu:
A mutually exciting latent space Hawkes process model for continuous-time networks. UAI 2022: 863-873 - [i25]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 abs/2205.00639 (2022) - [i24]Zhipeng Huang, Hadeel Soliman, Subhadeep Paul, Kevin S. Xu:
A Mutually Exciting Latent Space Hawkes Process Model for Continuous-time Networks. CoRR abs/2205.09263 (2022) - [i23]Tanner Hilsabeck, Makan Arastuie, Kevin S. Xu:
A Hybrid Adjacency and Time-Based Data Structure for Analysis of Temporal Networks. CoRR abs/2206.11444 (2022) - 2021
- [c26]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: 51-60 - [c25]Hung N. Do, Kevin S. Xu:
Analyzing Escalations in Militarized Interstate Disputes Using Motifs in Temporal Networks. COMPLEX NETWORKS 2021: 527-538 - [c24]Tanner Hilsabeck, Makan Arastuie, Kevin S. Xu:
A Hybrid Adjacency and Time-Based Data Structure for Analysis of Temporal Networks. COMPLEX NETWORKS 2021: 593-604 - [c23]Michael Sloma, Fayeq Syed, Mohammedreza Nemati, Kevin S. Xu:
Empirical Comparison of Continuous and Discrete-time Representations for Survival Prediction. SPACA 2021: 118-131 - [i22]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 abs/2103.03305 (2021) - [i21]Fatema Hasan, Kevin S. Xu, James R. Foulds, Shimei Pan:
Learning User Embeddings from Temporal Social Media Data: A Survey. CoRR abs/2105.07996 (2021) - 2020
- [c22]Brian O'Leary, Chia-Hao Shih, Tian Chen, Hong Xie, Andrew S. Cotton, Kevin S. Xu, Rajendra A. 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: 118-127 - [c21]Makan Arastuie, Subhadeep Paul, Kevin S. Xu:
CHIP: A Hawkes Process Model for Continuous-time Networks with Scalable and Consistent Estimation. NeurIPS 2020
2010 – 2019
- 2019
- [c20]Rehan Ahmad, Kevin S. Xu:
Continuous-Time Simulation of Epidemic Processes on Dynamic Interaction Networks. SBP-BRiMS 2019: 143-152 - [c19]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: 829-839 - [c18]Makan Arastuie, Kevin S. Xu:
Personalized Degrees: Effects on Link Formation in Dynamic Networks from an Egocentric Perspective. WWW (Companion Volume) 2019: 1039-1046 - [p1]Michael Sloma, Makan Arastuie, Kevin S. Xu:
Effects of Activity Recognition Window Size and Time Stabilization in the SHL Recognition Challenge. Human Activity Sensing 2019: 213-231 - [i20]Makan Arastuie, Subhadeep Paul, Kevin S. Xu:
Consistent Community Detection in Continuous-Time Networks of Relational Events. CoRR abs/1908.06940 (2019) - 2018
- [c17]Michael Sloma, Makan Arastuie, Kevin S. Xu:
Activity Recognition by Classification with Time Stabilization for the SHL Recognition Challenge. UbiComp/ISWC Adjunct 2018: 1616-1625 - [c16]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: 1166-1173 - [c15]Ruthwik R. Junuthula, Kevin S. Xu, Vijay K. Devabhaktuni:
Leveraging Friendship Networks for Dynamic Link Prediction in Social Interaction Networks. ICWSM 2018: 628-631 - [c14]Urvashi Oswal, Swayambhoo Jain, Kevin S. Xu, Brian Eriksson:
Block CUR: Decomposing Matrices Using Groups of Columns. ECML/PKDD (2) 2018: 360-376 - [i19]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 abs/1804.05755 (2018) - [i18]Ruthwik R. Junuthula, Kevin S. Xu, Vijay K. Devabhaktuni:
Leveraging Friendship Networks for Dynamic Link Prediction in Social Interaction Networks. CoRR abs/1804.08584 (2018) - 2017
- [j6]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): 2142-2151 (2017) - [c13]Yuning Zhang, Maysam Haghdan, Kevin S. Xu:
Unsupervised motion artifact detection in wrist-measured electrodermal activity data. ISWC 2017: 54-57 - [c12]Rehan Ahmad, Kevin S. Xu:
Effects of Contact Network Models on Stochastic Epidemic Simulations. SocInfo (2) 2017: 101-110 - [i17]Urvashi Oswal, Swayambhoo Jain, Kevin S. Xu, Brian Eriksson:
Block CUR : Decomposing Large Distributed Matrices. CoRR abs/1703.06065 (2017) - [i16]Yuning Zhang, Maysam Haghdan, Kevin S. Xu:
Unsupervised Motion Artifact Detection in Wrist-Measured Electrodermal Activity Data. CoRR abs/1707.08287 (2017) - [i15]Rehan Ahmad, Kevin S. Xu:
Effects of Contact Network Models on Stochastic Epidemic Simulations. CoRR abs/1707.08607 (2017) - [i14]Ruthwik R. Junuthula, Maysam Haghdan, Kevin S. Xu, Vijay K. Devabhaktuni:
The Block Point Process Model for Continuous-Time Event-Based Dynamic Networks. CoRR abs/1711.10967 (2017) - [i13]Makan Arastuie, Kevin S. Xu:
Link Formation in Egocentric Networks: Impacts of Local Degrees and Implications for Link Recommendation. CoRR abs/1712.01796 (2017) - 2016
- [j5]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): 43-45 (2016) - [j4]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): 1307-1321 (2016) - [c11]Jahnavi Yalamanchili, Robert C. Green II, Kevin S. Xu, Vijay K. Devabhaktuni:
Performance Enhanced Multiset Similarity Joins. BDCloud-SocialCom-SustainCom 2016: 21-28 - [c10]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: 377-384 - [c9]Annamalai Natarajan, Kevin S. Xu, Brian Eriksson:
Detecting divisions of the autonomic nervous system using wearables. EMBC 2016: 5761-5764 - [c8]Yan Li, Kevin S. Xu, Chandan K. Reddy:
Regularized Parametric Regression for High-dimensional Survival Analysis. SDM 2016: 765-773 - [e2]Kevin S. Xu, David Reitter, Dongwon Lee, Nathaniel Osgood:
Social, Cultural, and Behavioral Modeling, 9th International Conference, SBP-BRiMS 2016, Washington, DC, USA, June 28 - July 1, 2016, Proceedings. Lecture Notes in Computer Science 9708, Springer 2016, ISBN 978-3-319-39930-0 [contents] - [i12]Swayambhoo Jain, Urvashi Oswal, Kevin S. Xu, Brian Eriksson, Jarvis D. Haupt:
A Compressed Sensing Based Decomposition of Electrodermal Activity Signals. CoRR abs/1602.07754 (2016) - [i11]Ruthwik R. Junuthula, Kevin S. Xu, Vijay K. Devabhaktuni:
Evaluating Link Prediction Accuracy on Dynamic Networks with Added and Removed Edges. CoRR abs/1607.07330 (2016) - 2015
- [c7]Kevin S. Xu:
Stochastic Block Transition Models for Dynamic Networks. AISTATS 2015 - [c6]Qiuyi Han, Kevin S. Xu, Edoardo M. Airoldi:
Consistent estimation of dynamic and multi-layer block models. ICML 2015: 1511-1520 - [e1]Nitin Agarwal, Kevin S. Xu, Nathaniel Osgood:
Social Computing, Behavioral-Cultural Modeling, and Prediction - 8th International Conference, SBP 2015, Washington, DC, USA, March 31-April 3, 2015. Proceedings. Lecture Notes in Computer Science 9021, Springer 2015, ISBN 978-3-319-16267-6 [contents] - [i10]Ko-Jen Hsiao, Kevin S. Xu, Jeff Calder, Alfred O. Hero III:
Multi-criteria Similarity-based Anomaly Detection using Pareto Depth Analysis. CoRR abs/1508.04887 (2015) - 2014
- [j3]Kevin S. Xu, Mark Kliger, Alfred O. Hero III:
Adaptive evolutionary clustering. Data Min. Knowl. Discov. 28(2): 304-336 (2014) - [j2]Kevin S. Xu, Alfred O. Hero III:
Dynamic Stochastic Blockmodels for Time-Evolving Social Networks. IEEE J. Sel. Top. Signal Process. 8(4): 552-562 (2014) - [i9]Kevin S. Xu, Alfred O. Hero III:
Dynamic stochastic blockmodels for time-evolving social networks. CoRR abs/1403.0921 (2014) - [i8]Qiuyi Han, Kevin S. Xu, Edoardo M. Airoldi:
Consistent Estimation of Dynamic and Multi-layer Networks. CoRR abs/1410.8597 (2014) - [i7]Kevin S. Xu:
Stochastic Block Transition Models for Dynamic Networks. CoRR abs/1411.5404 (2014) - 2013
- [j1]Kevin S. Xu, Mark Kliger, Alfred O. Hero III:
A regularized graph layout framework for dynamic network visualization. Data Min. Knowl. Discov. 27(1): 84-116 (2013) - [c5]Kevin S. Xu, Alfred O. Hero III:
Dynamic Stochastic Blockmodels: Statistical Models for Time-Evolving Networks. SBP 2013: 201-210 - [i6]Kevin S. Xu, Alfred O. Hero III:
Dynamic stochastic blockmodels: Statistical models for time-evolving networks. CoRR abs/1304.5974 (2013) - [i5]Kevin S. Xu, Mark Kliger, Yilun Chen, Peter J. Woolf, Alfred O. Hero III:
Revealing social networks of spammers through spectral clustering. CoRR abs/1305.0051 (2013) - [i4]Kevin S. Xu:
Predictability of social interactions. CoRR abs/1306.1271 (2013) - 2012
- [c4]Ko-Jen Hsiao, Kevin S. Xu, Jeff Calder, Alfred O. Hero III:
Multi-criteria Anomaly Detection using Pareto Depth Analysis. NIPS 2012: 854-862 - [i3]Kevin S. Xu, Mark Kliger, Alfred O. Hero III:
A Regularized Graph Layout Framework for Dynamic Network Visualization. CoRR abs/1202.6042 (2012) - 2011
- [c3]Kevin S. Xu, Mark Kliger, Alfred O. Hero III:
Tracking Communities in Dynamic Social Networks. SBP 2011: 219-226 - [i2]Kevin S. Xu, Mark Kliger, Alfred O. Hero III:
Adaptive Evolutionary Clustering. CoRR abs/1104.1990 (2011) - [i1]Ko-Jen Hsiao, Kevin S. Xu, Alfred O. Hero III:
Multi-criteria Anomaly Detection using Pareto Depth Analysis. CoRR abs/1110.3741 (2011) - 2010
- [c2]Kevin S. Xu, Mark Kliger, Alfred O. Hero III:
Evolutionary spectral clustering with adaptive forgetting factor. ICASSP 2010: 2174-2177
2000 – 2009
- 2009
- [c1]Kevin S. Xu, Mark Kliger, Yilun Chen, Peter J. Woolf, Alfred O. Hero III:
Revealing Social Networks of Spammers Through Spectral Clustering. ICC 2009: 1-6
Coauthor Index
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