Ilya Safro

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Ruslan ShaydulinJPMorgan Chase & Co.Verified email at jpmchase.com
Yuri AlexeevComputational ScientistVerified email at alcf.anl.gov
Hayato Ushijima-MwesigwaFujitsu Laboratories of America Inc.Verified email at fujitsu.com
Justin SybrandtGoogle BrainVerified email at sybrandt.com
Xiaoyuan LiuFujitsu Research of America, Inc.Verified email at fujitsu.com
Peter SandersProfessor of Computer Science, Karlsruhe Institute of TechnologyVerified email at kit.edu
Henning MeyerhenkeProfessor of Computer Science, HU BerlinVerified email at hu-berlin.de
Christian SchulzProfessor of Computer Science, Heidelberg UniversityVerified email at informatik.uni-heidelberg.de
Talayeh RazzaghiAssistant Professor, University of OklahomaVerified email at ou.edu
Dorit RonWeizmann Institute of ScienceVerified email at weizmann.ac.il
Susan MniszewskiScientist, Los Alamos National LaboratoryVerified email at lanl.gov
Mashrur ChowdhuryFounding Director, National Center for Transportation Cybersecurity and ResiliencyVerified email at clemson.edu
Alexey GaldaModernaVerified email at modernatx.com
Michael ShtutmanAssociate professor, University of South CarolinaVerified email at cop.sc.edu
Ehsan SadrfaridpourClemson UniversityVerified email at g.clemson.edu
Amy AponClemson UniversityVerified email at clemson.edu
Oleg RoderickData Insights and Analytics, Otsuka PharmaceuticalVerified email at otsuka-us.com
Prof. Alexander GutfraindLoyola University ChicagoVerified email at cornell.edu
Alexander HerzogUniversity of BambergVerified email at uni-bamberg.de
Aydın BuluçLawrence Berkeley National Laboratory and UC BerkeleyVerified email at lbl.gov

Ilya Safro

Associate Professor of Computer Science, University of Delaware

Verified email at udel.edu - Homepage

graph algorithms quantum computing machine learning optimization artificial intelligence


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Recent advances in graph partitioning A Buluc, H Meyerhenke, I Safro, P Sanders, C Schulz Algorithm Engineering: Selected Results and Surveys 9220, 117-158, 2016	584	2016
Machine learning in transportation data analytics P Bhavsar, I Safro, N Bouayanaya, R Polikar, D Dera Data analytics for intelligent transportation systems, 2017	217*	2017
Relaxation-based coarsening and multiscale graph organization D Ron, I Safro, A Brandt SIAM Multiscale Modeling & Simulation 9 (1), 407-423, 2011	144	2011
Advanced coarsening schemes for graph partitioning I Safro, P Sanders, C Schulz ACM Journal of Experimental Algorithmics (JEA) 19, 2.2, 2015	115	2015
Comparison of coarsening schemes for multilevel graph partitioning C Chevalier, I Safro Learning and Intelligent Optimization, 191-205, 2009	113	2009
Combinatorial scientific computing U Naumann, O Schenk CRC Press, 2012	108	2012
Graph minimum linear arrangement by multilevel weighted edge contractions I Safro, D Ron, A Brandt Journal of Algorithms 60 (1), 24-41, 2006	105	2006
Algebraic distance on graphs J Chen, I Safro SIAM Journal on Scientific Computing 33 (6), 3468-3490, 2011	91	2011
Multilevel weighted support vector machine for classification on healthcare data with missing values T Razzaghi, O Roderick, I Safro, N Marko PloS one 11 (5), e0155119, 2016	83	2016
Multistart Methods for Quantum Approximate Optimization R Shaydulin, I Safro, J Larson IEEE High Performance Extreme Computing Conference (HPEC), 2019	80	2019
A survey of quantum computing for finance D Herman, C Googin, X Liu, Y Sun, A Galda, I Safro, M Pistoia, Y Alexeev arXiv preprint arXiv:2201.02773, 1-16, 2022	77	2022
Multilevel algorithms for linear ordering problems I Safro, D Ron, A Brandt ACM Journal of Experimental Algorithmics (JEA) 13, 4, 2009	77*	2009
Using drive-by health monitoring to detect bridge damage considering environmental and operational effects W Locke, J Sybrandt, L Redmond, I Safro, S Atamturktur Journal of Sound and Vibration 468, 115088, 2019	72	2019
A Hybrid Approach for Solving Optimization Problems on Small Quantum Computers R Shaydulin, H Ushijima-Mwesigwa, C Negre, I Safro, S Mniszewski, ... Computer 52 (6), 18-26, 2019	63	2019
Network community detection on small quantum computers R Shaydulin, H Ushijima-Mwesigwa, I Safro, S Mniszewski, Y Alexeev Advanced Quantum Technologies 2 (9), 2019	60	2019
Layer VQE: A variational approach for combinatorial optimization on noisy quantum computers X Liu, A Angone, R Shaydulin, I Safro, Y Alexeev, L Cincio IEEE Transactions on Quantum Engineering, 2022	59	2022
MOLIERE: Automatic Biomedical Hypothesis Generation System J Sybrandt, M Shtutman, I Safro 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data …, 2017	55	2017
Multilevel Combinatorial Optimization across Quantum Architectures H Ushijima-Mwesigwa, R Shaydulin, CFA Negre, SM Mniszewski, ... ACM Transactions on Quantum Computing 2 (1), 1-29, 2021	50	2021
Multiscale network generation A Gutfraind, I Safro, LA Meyers IEEE Information Fusion (Fusion), 2015 18th International Conference on, 158-165, 2015	47	2015
Multiscale approach for the network compression-friendly ordering I Safro, B Temkin Journal of Discrete Algorithms 9 (2), 190-202, 2011	47	2011

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