Rouzbeh Hasheminezhad

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Hamidreza MahyarAssistant Professor, McMaster UniversityVerified email at mcmaster.ca
Elahe GhalebiVector InstituteVerified email at vectorinstitute.ai
Krishnendu ChatterjeeProfessor, IST AustriaVerified email at ist.ac.at
Petr NovotnýAssociate Professor, Faculty of Informatics, Masaryk UniversityVerified email at fi.muni.cz
Hongfei FuShanghai Jiao Tong UniversityVerified email at cs.sjtu.edu.cn
Ali MovagharProfessor of Computer Science and Engineering, Sharif University of Technology., Tehran, IranVerified email at sharif.edu
Ali NazemianSharif UniversityVerified email at ce.sharif.edu
Ulrik BrandesETH Zürich, Social Networks LabVerified email at ethz.ch
H. Eugene StanleyProfessor of Physics, Boston UniversityVerified email at bu.edu
Volkan CevherAssociate Professor, LIONS, EPFL. Amazon Scholar.Verified email at epfl.ch
Anastasios KyrillidisAssistant Professor, Computer Science Department, Rice UniversityVerified email at rice.edu
Luca BaldassarreLead Data Scientist, Swiss ReVerified email at swissre.com
Quoc Tran-DinhDepartment of Statistics and Operations Research, UNCVerified email at email.unc.edu
Bubacarr BahAssociate Professor and Head of Data Science, MRC Unit The Gambia at London School of HygieneVerified email at aims.ac.za

Rouzbeh Hasheminezhad

Other namesSeyedrouzbeh Hasheminezhad

ETH, Zurich

Verified email at ethz.ch


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Algorithmic analysis of qualitative and quantitative termination problems for affine probabilistic programs K Chatterjee, H Fu, P Novotný, R Hasheminezhad Proceedings of the 43rd Annual ACM SIGPLAN-SIGACT Symposium on Principles of …, 2016	91	2016
Algorithmic analysis of qualitative and quantitative termination problems for affine probabilistic programs K Chatterjee, H Fu, P Novotný, R Hasheminezhad ACM Transactions on Programming Languages and Systems (TOPLAS) 40 (2), 1-45, 2018	47	2018
Compressive sensing of high betweenness centrality nodes in networks H Mahyar, R Hasheminezhad, E Ghalebi, A Nazemian, R Grosu, ... Physica A: Statistical Mechanics and its Applications 497, 166-184, 2018	32	2018
Identifying central nodes for information flow in social networks using compressive sensing H Mahyar, R Hasheminezhad, E Ghalebi, A Nazemian, R Grosu, ... Social Network Analysis and Mining 8, 1-24, 2018	24	2018
A low-cost sparse recovery framework for weighted networks under compressive sensing H Mahyar, HR Rabiee, A Movaghar, R Hasheminezhad, E Ghalebi, ... 2015 IEEE International Conference on Smart City/SocialCom/SustainCom …, 2015	11	2015
Compressive closeness in networks H Mahyar, R Hasheminezhad, HE Stanley Applied Network Science 4 (1), 100, 2019	6	2019
Constructing provably robust scale-free networks R Hasheminezhad, U Brandes International Conference on Network Science, 126-139, 2022	4	2022
Scale-free networks need not be fragile R Hasheminezhad, M Boudourides, U Brandes 2020 IEEE/ACM International Conference on Advances in Social Networks …, 2020	4	2020
Robustness of preferential-attachment graphs R Hasheminezhad, U Brandes Applied Network Science 8 (1), 32, 2023	2	2023
Robustness of preferential-attachment graphs: shifting the baseline R Hasheminezhad, U Brandes International Conference on Complex Networks and Their Applications, 445-456, 2022	2	2022
Convex block-sparse linear regression with expanders–provably A Kyrillidis, B Bah, R Hasheminezhad, QT Dinh, L Baldassarre, V Cevher Artificial Intelligence and Statistics, 19-27, 2016	2	2016
The myth of the robust-yet-fragile nature of scale-free networks: An empirical analysis R Hasheminezhad, AB Rønberg, U Brandes International Workshop on Algorithms and Models for the Web-Graph, 99-111, 2023	1	2023
A compressive sensing framework for distributed detection of high closeness centrality nodes in networks H Mahyar, R Hasheminezhad, E Ghalebi, R Grosu, HE Stanley Complex Networks and Their Applications VII: Volume 2 Proceedings The 7th …, 2019	1	2019
Robustness of Scale-Free Networks S Hasheminezhad ETH Zurich, 2023		2023

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