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Publications

For the complete list, please see my Google Scholar Profile.

Preprint

Deep Learning Approaches on Image Captioning: A Review
Taraneh Ghandi, Hamidreza Pourreza, and Hamidreza Mahyar
arXiv:2201.12944.
SMGRL: A Scalable Multi-resolution Graph Representation Learning Framework
Reza Namazi, Elahe Ghalebi, Sinead Williamson, and Hamidreza Mahyar
arXiv:2201.12670.
Autonomous Vehicles: Open-Source Technologies, Considerations, and Development
Oussama Saoudi, Ishwar Singh, and Hamidreza Mahyar
arXiv:2202.03148.
A Nonparametric Bayesian Model for Sparse Dynamic Multigraphs
Elahe Ghalebi, Hamidreza Mahyar, Radu Grosu, Graham W. Taylor, and Sinead A. Williamson
arXiv:1910.05098.

2022

Medial Spectral Coordinates for 3D Shape Analysis
Morteza Rezanejad, Mohammad Khodadad, Hamidreza Mahyar, Herve Lombaert, Michael Gruninger, Dirk B. Walther, and Kaleem Siddiqi
in Proc of Conference on Computer Vision and Pattern Recognition (CVPR). [Oral Presentation]
Multiple Sclerosis Lesions Segmentation using Attention-Based CNNs in FLAIR Images
Mehdi SadeghiBakhi, Hamidreza Pourreza, and Hamidreza Mahyar
in IEEE Journal of Translational Engineering in Health and Medicine (JTEHM). [IF: 3.316]

2021

A Matrix Factorization Model for Hellinger-based Trust Management in Social Internet of Things
Soroush Aalibagi*, Hamidreza Mahyar*, Ali Movaghar, and H. Eugene Stanley
in IEEE Transactions on Dependable and Secure Computing (TDSC). [IF: 7.329](*Equal contribution).
Towards Deep Learning Visual SLAM in Autonomous Vehicles
Saoudi, Oussama, Ishwar Singh, and Hamidreza Mahyar
in the BRIC Symposium, McMaster University.

2019

Compressive Closeness in Networks
Hamidreza Mahyar, Rouzbeh Hasheminezhad, and H. Eugene Stanley
in Springer Applied Network Science. [IF: 2.33]
Sequential Edge Clustering in Temporal Multigraphs
Elahe Ghalebi, Hamidreza Mahyar, Radu Grosu, Graham W. Taylor, and Sinead A. Williamson
in GRL Workshop, Conference on Neural Information Processing Systems (NeurIPS).

2018

Identifying Central Nodes for Information Flow in Social Networks using Compressive Sensing
Hamidreza Mahyar, Rouzbeh Hasheminezhad, Elahe Ghalebi, Ali Nazemian, Radu Grosu, Ali Movaghar, and Hamid R. Rabiee
in Springer Social Network Analysis and Mining (SNAM). [IF: 3.868]
Generative Adversarial Networks for Clustering Semiconductor Wafer Maps
Hamidreza Mahyar, Peter Tulala, Hamid R. Rabiee, and Radu Grosu
in ML for Systems Workshop, Conference on Neural Information Processing Systems (NeurIPS).
Unsupervised Wafermap Patterns Clustering via Variational Autoencoders
Peter Tulala*, Hamidreza Mahyar*, Elahe Ghalebi, and Radu Grosu
in Proc of the International Joint Conference on Neural Networks (IJCNN).(*Equal contribution) [Oral Presentation]
Compressive Sensing of High Betweenness Centrality Nodes in Networks
Hamidreza Mahyar, Rouzbeh Hasheminezhad, Elahe Ghalebi, Ali Nazemian, Radu Grosu, Ali Movaghar, and Hamid R. Rabiee
in Physica A: Statistical Mechanics and its Applications (PhysicaA). [IF: 3.263]
A Compressive Sensing Framework for Distributed Detection of High Closeness Centrality Nodes in Networks
Hamidreza Mahyar, Rouzbeh Hasheminezhad, Elahe Ghalebi, Radu Grosu, and H. Eugene Stanley
in Proc of the International Conference on Complex Networks and Their Applications (ComplexNet). [Oral Presentation]
Compressed Sensing in Cyber Physical Social Systems
Radu Grosu, Elahe Ghalebi, Ali Movaghar, and Hamidreza Mahyar
in Springer Principles of Modeling.

2017

HellRank: A Hellinger-based Centrality Measure for Bipartite Social Networks
S. Mohammad Taheri, Hamidreza Mahyar, Mohammad Firouzi, Elahe Ghalebi, Radu Grosu, and Ali Movaghar
in Springer Social Network Analysis and Mining (SNAM). [IF: 3.868]
Extracting Implicit Social Relation for Social Recommendation Techniques in User Rating Prediction
S. Mohammad Taheri, Hamidreza Mahyar, Mohammad Firouzi, Elahe Ghalebi, Radu Grosu, and Ali Movaghar
in Proc of the International Conference on World Wide Web (WWW). [Oral Presentation]
The Bottlenecks in Biological Networks
Hamidreza Mahyar, Elahe Ghalebi, Hamid R. Rabiee, and Radu Grosu
in Computational Biology Workshop, International Conference on Machine Learning (ICML).
Compressive Sampling for Sparse Recovery in Networks
Elahe Ghalebi*, Hamidreza Mahyar*, Radu Grosu, and Hamid R. Rabiee
in ML with Graphs Workshop, ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD). (*Equal contribution)

2016

Similarity-based Ranking of User Influence in Bipartite Social Networks
S. Mohammad Taheri, Hamidreza Mahyar, Mohammad Firouzi, and Ali Movaghar
in Proc of European Conference on Social Networks (EUSN).
Influence-based Community Detection in Social Recommender Systems
S. Mojde Morshedi, Hamidreza Mahyar, and Ali Movaghar
in Proc of European Conference on Social Networks (EUSN).

2015

CS-ComDet: A Compressive Sensing Approach for Inter-Community Detection in Social Networks
Hamidreza Mahyar, Hamid R. Rabiee, Ali Movaghar, Elahe Ghalebi, and Ali Nazemian
in Proc of IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM). [Oral Presentation]
Detection of Top-k Central Nodes in Social Networks: A Compressive Sensing Approach
Hamidreza Mahyar
in Proc of IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM). [Oral Presentation]
A Low-cost Sparse Recovery Framework for Weighted Networks Under Compressive Sensing
Hamidreza Mahyar, Hamid R. Rabiee, Ali Movaghar, Rouzbeh Hasheminezhad, Elaheh Ghalebi, and Ali Nazemian
in Proc of IIEEE International Conference on Social Computing (SocialCom). [Oral Presentation]

2013

UCS-NT: An Unbiased Compressive Sensing Framework For Network Tomography
Hamidreza Mahyar, Hamid R. Rabiee, and Zakieh S. Hashemifar
in Proc of IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP). [Oral Presentation]
UCS-WN: An Unbiased Compressive Sensing Framework for Weighted Networks
Hamidreza Mahyar, Hamid R. Rabiee, Zakieh S. Hashemifar, and Payam Siyari
in Proc of Conference on Information Sciences and Systems (CISS). [Oral Presentation]