UCS-NT: An unbiased compressive sensing framework for Network Tomography. - Hamidreza Mahyar; Hamid R. Rabiee; Zakieh S. Hashemifar (ICASSP, 2013)

Detection of Top-K Central Nodes in Social Networks: A Compressive Sensing Approach. - Hamidreza Mahyar (ASONAM, 2015)

CS-ComDet: A Compressive Sensing Approach for Inter-Community Detection in Social Networks. - Hamidreza Mahyar; Hamid R. Rabiee; Ali Movaghar 001; Elaheh Ghalebi; Ali Nazemian (ASONAM, 2015)

A Low-Cost Sparse Recovery Framework for Weighted Networks under Compressive Sensing. - Hamidreza Mahyar; Hamid R. Rabiee; Ali Movaghar 001; Rouzbeh Hasheminezhad; Elaheh Ghalebi; Ali Nazemian (SmartCity, 2015)

Extracting Implicit Social Relation for Social Recommendation Techniques in User Rating Prediction. - Seyed Mohammad Taheri; Hamidreza Mahyar; Mohammad Firouzi; Ali Movaghar 001 (CoRR, 2016)

HellRank: A Hellinger-based Centrality Measure for Bipartite Social Networks. - Seyed Mohammad Taheri; Hamidreza Mahyar; Mohammad Firouzi; Ali Movaghar 001 (CoRR, 2016)

Extracting Implicit Social Relation for Social Recommendation Techniques in User Rating Prediction. - Seyed Mohammad Taheri; Hamidreza Mahyar; Mohammad Firouzi; Elahe Ghalebi K.; Radu Grosu; Ali Movaghar 001 (WWW (Companion Volume), 2017)

HellRank: a Hellinger-based centrality measure for bipartite social networks. - Seyed Mohammad Taheri; Hamidreza Mahyar; Mohammad Firouzi; Elahe Ghalebi K.; Radu Grosu; Ali Movaghar 001 (Soc. Netw. Anal. Min., 2017)

Compressed Sensing in Cyber Physical Social Systems. - Radu Grosu; Elahe Ghalebi K.; Ali Movaghar 001; Hamidreza Mahyar (Principles of Modeling, 2018)

A Compressive Sensing Framework for Distributed Detection of High Closeness Centrality Nodes in Networks. - Hamidreza Mahyar; Rouzbeh Hasheminezhad; Elahe Ghalebi K.; Radu Grosu; Harry Eugene Stanley (COMPLEX NETWORKS (2), 2018)

Unsupervised Wafermap Patterns Clustering via Variational Autoencoders. - Peter Tulala; Hamidreza Mahyar; Elahe Ghalebi K.; Radu Grosu (IJCNN, 2018)

Identifying central nodes for information flow in social networks using compressive sensing. - Hamidreza Mahyar; Rouzbeh Hasheminezhad; Elaheh Ghalebi; Ali Nazemian; Radu Grosu; Ali Movaghar 001; Hamid R. Rabiee (Soc. Netw. Anal. Min., 2018)

Compressive closeness in networks. - Hamidreza Mahyar; Rouzbeh Hasheminezhad; Harry Eugene Stanley (Appl. Netw. Sci., 2019)

Dynamic Nonparametric Edge-Clustering Model for Time-Evolving Sparse Networks. - Elahe Ghalebi; Hamidreza Mahyar; Radu Grosu; Sinead Williamson (CoRR, 2019)

A Matrix Factorization Model for Hellinger-based Trust Management in Social IoT. - Soroush Aalibagi; Hamidreza Mahyar; Ali Movaghar 001; Harry Eugene Stanley (CoRR, 2019)

A Nonparametric Bayesian Model for Sparse Temporal Multigraphs. - Elahe Ghalebi; Hamidreza Mahyar; Radu Grosu; Graham W. Taylor; Sinead A. Williamson (CoRR, 2019)

Medial Spectral Coordinates for 3D Shape Analysis. - Morteza Rezanejad; Mohammad Khodadad; Hamidreza Mahyar; Herve Lombaert; Michael Gruninger; Dirk B. Walther; Kaleem Siddiqi (CVPR, 2022)

DeepWafer: A Generative Wafermap Model with Deep Adversarial Networks. - Hamidreza Mahyar; Peter Tulala; Elahe Ghalebi; Radu Grosu (ICMLA, 2022)

Multiple Sclerosis Lesions Segmentation using Attention-Based CNNs in FLAIR Images. - Mehdi SadeghiBakhi; Hamidreza Pourreza; Hamidreza Mahyar (CoRR, 2022)

SMGRL: A Scalable Multi-resolution Graph Representation Learning Framework. - Reza Namazi; Elahe Ghalebi; Sinead Williamson; Hamidreza Mahyar (CoRR, 2022)

A Matrix Factorization Model for Hellinger-Based Trust Management in Social Internet of Things. - Soroush Aalibagi; Hamidreza Mahyar; Ali Movaghar 001; Harry Eugene Stanley (IEEE Trans. Dependable Secur. Comput., 2022)

Autonomous Vehicles: Open-Source Technologies, Considerations, and Development. - Oussama Saoudi; Ishwar Singh; Hamidreza Mahyar (Adv. Artif. Intell. Mach. Learn., 2023)

Contour Completion using Deep Structural Priors. - Ali Shiraee; Morteza Rezanejad; Mohammad Khodadad; Dirk B. Walther; Hamidreza Mahyar (CoRR, 2023)

MLGCN: An Ultra Efficient Graph Convolution Neural Model For 3D Point Cloud Analysis. - Mohammad Khodadad; Morteza Rezanejad; Ali Shiraee Kasmaee; Kaleem Siddiqi; Dirk B. Walther; Hamidreza Mahyar (CoRR, 2023)

Deep Learning Approaches in Pavement Distress Identification: A Review. - Sizhe Guan; Haolan Liu; Hamid Reza Pourreza; Hamidreza Mahyar (CoRR, 2023)

A Triplet-loss Dilated Residual Network for High-Resolution Representation Learning in Image Retrieval. - Saeideh Yousefzadeh; Hamidreza Pourreza; Hamidreza Mahyar (J. Signal Process. Syst., 2023)

ChemTEB: Chemical Text Embedding Benchmark, an Overview of Embedding Models Performance & Efficiency on a Specific Domain. - Ali Shiraee Kasmaee; Mohammad Khodadad; Mohammad Arshi Saloot; Nick Sherck; Stephen Dokas; Hamidreza Mahyar; Soheila Samiee (ENLSP, 2024)

MLGCN: an ultra efficient graph convolutional neural model for 3D point cloud analysis. - Mohammad Khodadad; Ali Shiraee Kasmaee; Hamidreza Mahyar; Morteza Rezanejad (Frontiers Artif. Intell., 2024)

Deep Learning Approaches on Image Captioning: A Review. - Taraneh Ghandi; Hamidreza Pourreza; Hamidreza Mahyar (ACM Comput. Surv., 2024)

Evaluating Multi-Hop Reasoning in Large Language Models: A Chemistry-Centric Case Study. - Mohammad Khodadad; Ali Shiraee Kasmaee; Mahdi Astaraki; Nicholas Sherck; Hamidreza Mahyar; Soheila Samiee (CoRR, 2025)

Towards Domain Specification of Embedding Models in Medicine. - Mohammad Khodadad; Ali Shiraee; Mahdi Astaraki; Hamidreza Mahyar (CoRR, 2025)

ChEmbed: Enhancing Chemical Literature Search Through Domain-Specific Text Embeddings. - Ali Shiraee Kasmaee; Mohammad Khodadad; Mehdi Astaraki; Mohammad Arshi Saloot; Nicholas Sherck; Hamidreza Mahyar; Soheila Samiee (CoRR, 2025)