Publication

(Click Here for Updated List of Publications)

Selected Journals and Conferences:

  • Narges Rezaie, Masroor Bayati, Mehrab Hamidi, Maedeh Sadat Tahaei, Sadegh Khorasani, Nigel H. Lovell, James Breen, Hamid R. Rabiee, Hamid Alinejad-Rokny, “Somatic point mutations are enriched in non-coding RNAs with possible regulatory function in breast cancer,” Nature Communications Biology, June 2022.
  • Hamed Dashti, Iman Dehzangi, Masroor Bayati, James Breen, Amin Beheshti, Nigel Lovell, Hamid R Rabiee, Hamid Alinejad-Rokny, “Integrative  analysis of mutated genes and mutational processes reveals novel mutational biomarkers in colorectal cancer,” Nature BMC Bioinformatics, April 2022.
  • Mahsa Ghorbani, Anees Kazi, Mahdieh Soleymani, Hamid R. Rabiee, Nassir Navab, “RA-GCN: Graph Convolutional Network for Disease Prediction Problems with Imbalanced Data,” Medical Image Analysis (IF:8.545), 2022.
  • Mohammadreza Salehi, Niousha Sadjadi, Soroosh Baselizadeh, Mohammad H. Rohban, Hamid R. Rabiee, “Multiresolution Knowledge Distillation for Anomaly Detection,” IEEE Computer Vision and Pattern Recognition, CVPR, 2021.
  • Amir Najafi, Saeed Ilchi, Amir Hossein Saberi, Seyed Abolfazl Motahari, Babak H Khalaj, Hamid R Rabiee, “On statistical learning of simplices: Unmixing problem revisited,” The Annals of Statistics (IF:7.51), 2021.
  • Mahsa Ghorbani, Mojtaba Bahrami, Anees Kazi, Mahdieh Soleymani, Hamid R. Rabiee, Nassir Navab, “GKD: Semi-supervised Graph Knowledge Distillation for Graph-Independent Inference,” The 24th International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2021.
  • Mohammadreza Salehi, Artin Arya, Barbod Pajum, Mohammad Otoofi, Amirreza Shaeiri, Mohammad H. Rohban, Hamid R. Rabiee, “ARAE: Adversarially robust training of autoencoders improves novelty detection,” Neural Networks (IF:7.197), 2021.
  • Amin Ghareyazi, Amir Mohseni, Hamed Dashti, Amin Beheshti, Abdollah Dehzangi, Hamid R Rabiee, Hamid Alinejad-Rokny, “Whole-Genome Analysis of De Novo Somatic Point Mutations Reveals Novel Mutational Biomarkers in Pancreatic Cancer,” Cancers (IF:6.126), 2021.
  • Mojtaba Bahrami, Malosree Maitra, Corina Agy, Gustavo Turecki, Hamid R. Rabiee, and Yue Li, “Deep feature extraction of single-cell transcriptomes by generative adversarial network,” Oxford Bioinformatics (IF:6.937), 2021.
  • Faezeh Faez, Yassaman Ommi, Mahdieh Soleymani Baghshah, Hamid R Rabiee, “Deep Graph Generators: A Survey,” IEEE Access (IF:3.367), 2021.
  • Shahriar Ebrahimi, Reza Salkhordeh, Seyed Ali Osia, Ali Taheri, Hamid R Rabiee, Hossein Asadi, “RC-RNN: Reconfigurable Cache Architecture for Storage Systems Using Recurrent Neural Networks,” IEEE Transactions on Emerging Topics in Computing (IF:6.043), 2021.
  • Mohammadreza Doostmohammadian, Houman Zarrabi, Hamid R. Rabiee, Usman A. Khan, Themistoklis Charalambous, “Distributed Detection and Mitigation of Biasing Attacks over Multi-Agent Networks,” IEEE Transactions on Network Science and Engineering (IF:5.213), 2021.
  • Seyyede Fatemeh Seyyedsalehi, Mahdieh Soleymanni Baghshah, Hamid R. Rabiee, Mohammad R. K. Mofrad, “PFP-WGAN: Protein Function Prediction by Discovering Gene Ontology Term Correlations with Generative Adversarial Networks,” PlOS One (IF: 3.24), 2021.
  • Ali Khodadadi, Seyed Abbas Hosseini, Ehsan Pajouheshgar, Farnam Mansouri, and Hamid R. Rabiee, “ChOracle: A Unified Statistical Framework for Churn Prediction,” IEEE Transactions on Knowledge and Data Engineering (IF:4.935), 2020.
  • Masroor Bayati, Hamid R. Rabiee, Mehrdad Mehrbod, Fatemeh Vafaee, Diako Ebrahimi, Alistair Forrest, and Hamid Alinejad-Rokny, “CANCERSIGN: a user-friendly and robust tool for identification and classification of mutational signatures and patterns in cancer genomes,” Nature Scientific Reports (IF:5.133), 2020.
  • Seyed Ali Osia, Ali Shahin Shamsabadi, Sina Sajadmanesh, Ali Taheri, Keliomenis Katevas, Hamid R. Rabiee, Nicholas Lane, Hamed Haddadi, “A Hybrid Deep Learning Architecture for Privacy-Preserving Mobile Analytics, IEEE Internet of Things Journal (IF:12.37), 2020.
  • Elham J Barezi, Ian D Wood, Pascale Fung, Hamid R Rabiee, “A Submodular Feature-Aware Framework for Label Subset Selection in Extreme Classification Problems,” Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019.
  • Zeinab Golgooni, Sara Mirsadeghi, Mahdieh Soleymani Baghshah, Pedram Ataee, Hossein Baharvand, Sara Pahlavan, Hamid R. Rabiee, “Deep Learning Based Proarrhythmia Analysis Using Field Potentials Recorded from Human Pluripotent Stem Cells Derived Cardiomyocytes,” IEEE Journal of Translational Engineering in Health and Medicine (IF:2.53), 2019.
  • M. R. Doostmohammadian, Hamid R. Rabiee, U. Khan, “Cyber-Social Systems: Modeling, Inference, and Optimal Design,” IEEE Systems Journal (IF:3.931), 2019.
  • Seyed Abbas Hosseini, Ali Khodadadi, Keivan Alizadeh, Ali Arabzadeh, Mehrdad Farajtabar, Hongyuan Zha and Hamid R. Rabiee, “Recurrent Poisson Factorization for Temporal Recommendation,” IEEE Transactions on Knowledge and Data Engineering (IF:4.935), 2018.
  • Seyed Ali Osia, Ali Taheri, Ali Shahin Shamsabadi, Kleomenis Katevas, Hamed Haddadi, Hamid R. Rabiee, “Deep Private-Feature Extraction,” IEEE Transactions on Knowledge and Data Engineering (IF:4.935), 2018.
  • Ali Zarezade, Abir De, Utkarsh Upadhyay, Hamid R. Rabiee, Manuel Gomez-Rodriguez, “Steering Social Activity: A Stochastic Optimal Control Point of View,” Journal of Machine Learning Research (JMLR) (IF:4.091), vol. 18, issue 205, 2018.
  • Ali Zarezade, Sina Jafarzadeh, Hamid R Rabiee, “Recurrent spatio-temporal modeling of check-ins in location-based social networks,” PlOS One (IF:3.24), 2018.
  • Seyed Ali Osia, Ali Shahin Shamsabadi, Ali Taheri, Hamid R Rabiee, Hamed Haddadi, “Private and Scalable Personal Data Analytics Using Hybrid Edge-to-Cloud Deep Learning,” IEEE Computer (IF: 3.564), 2018.
  • Ali Khodadadi, Seyed Abbas Hosseini, Erfan Tavakoli, Hamid R. Rabiee, “Continuous-Time User Modeling in Presence of Badges: A Probabilistic Approach,” ACM Transactions on Knowledge Discovery from Data (TKDD) (IF:2.713), vol. 12, issue 3, 2018.
  • Maryam Ramezani, Ali Khodadadi, Hamid R. Rabiee, “Community Detection Using Diffusion Information,” ACM Transactions on Knowledge Discovery from Data (TKDD) (IF:2.713), 2018.
  • Hoda Ayatollahi, Mohammad Khansari, Hamid R. Rabiee, “A push-pull network coding protocol for live peer-to-peer streaming,” Computer Networks (IF:4.474), 2018.
  • Hamidreza Mahyar, Rouzbeh Hasheminezhad, Elahe Ghalebi, Ali Nazemian, Radu Grosu, Ali Movaghar, Hamid R. Rabiee, ” Compressive sensing of high betweenness centrality nodes in networks,” Physica A: Statistical Mechanics and its Applications (IF:2.924), 2018.
  • Hamidreza Mahyar, Rouzbeh Hasheminezhad, Elahe Ghalebi, Ali Nazemian, Radu Grosu, Ali Movaghar, Hamid R. Rabiee, “Identifying central nodes for information flow in social networks using compressive sensing,” Social Network Analysis and Mining (IF:3.87), vol. 8, issue 1, 2018.
  • M.R. Doostmohammadian, Hamid R. Rabiee, H. Zarrabi, U. Khan, “Observational Equivalence in System Estimation: Contractions in Complex Networks,” IEEE Transactions on Network Science and Engineering (IF:5.213), 2018.
  • M.R. Doostmohammadian, Hamid R. Rabiee, U. Khan, “Structural cost-optimal design of sensor networks for distributed estimation,” IEEE Signal Processing Letters (IF:3.105), 2018.
  • Mohammadreza Doostmohammadian, Hamid R Rabiee, Houman Zarrabi, Usman A Khan,”Distributed Estimation Recovery Under Sensor Failure,” IEEE Signal Processing Letters (IF:3.105), 2017.
  • Elham J Barezi, James T Kwok, Hamid R. Rabiee,”Multi-Label learning in the independent label sub-spaces,” Pattern Recognition Letters (IF:2.81), 2017.
  • Seyyede Fatemeh Seyyedsalehi, Hamid R. Rabiee, Ali Soltani-Farani, Ali Zarezade, “A Probabilistic Joint Sparse Regression Model for Semisupervised Hyperspectral Unmixing,” IEEE Geoscience and Remote Sensing Letters (IF:3.966), 2017.
  • Eisa Zarepour, Mohammadreza Hosseini, Salil S. Kanhere, Arcot Sowmya, and Hamid R. Rabiee, “Applications and Challenges of Wearable Visual Lifeloggers,” IEEE Computer (IF:3.564), 2017.
  • Batoul Sarvi, Hamid R. Rabiee, Kiarash Mizanian, “An adaptive cross-layer error control protocol for wireless multimedia sensor networks,” Ad Hoc Networks (IF:4.111), 2017.
  • S. Rastegar,, M. S. Baghshah, Hamid R. Rabiee, and S.M. Shojaee, ”MDL-CW: A Multimodal Deep Learning Framework with Cross Weights”, IEEE Computer Vision and Pattern Recognition, CVPR, 2016.
  • Ali Fattaholmanan, and Hamid R. Rabiee, “A Large-Scale Active Measurement Study on the Effectiveness of Piece-Attack on BitTorrent Networks,” IEEE Transactions on Dependable Secure Computing (IF:6.404), 2016.
  • Maryam Tahani, A. M. Afshin Hemmatyar, Hamid R. Rabiee, and Maryam Ramezani, “Inferring Dynamic Diffusion Networks in Online Media,” ACM Transactions on Knowledge Discovery from Data (IF:2.713), 2016.
  • A. Soltani-Farani, Hamid R. Rabiee, and S. A. Hosseini, “Spatial-Aware Dictionary Learning for Hyperspectral Image Classification,” IEEE Transactions on Geoscience and Remote Sensing (IF: 5.60), 2015.
  • A. Shaban, Hamid R. Rabiee, M. Najibi, and S. Yousefi, “From Local Similarities to Global Coding: A Framework for Coding Applications,” IEEE Transactions on Image Processing (IF: 9.34), 2015.
  • A. Soltani-Farani and Hamid R. Rabiee, “When Pixels Team up: Spatially-Weighted Sparse Coding for Hyperspectral Image Classification,” IEEE Geoscience and Remote Sensing Letters (IF: 3.966), vol. 12, no. 1, pp. 107-111, 2015.
  • A. Fattaholmanan, Hamid R. Rabiee, P. Siyari, and , “Peer to Peer Compressive Sensing for Network Monitoring,” IEEE Communication Letters (IF: 2.723), Issue 19, no. 1,  pp. 38-41, 2015.
  • A. Zarezade, Hamid R. Rabiee, A. Soltani-Farani, and A. Khajenezhad, “Patchwise Joint Sparse Tracking with Occlusion Detection,” IEEE Transactions on Image Processing (IF: 9.34), 2014.
  • J. Muhammadi, Hamid R. Rabiee, and S. A. Hosseini, “A Unified Statistical Framework for Crowd Labeling,” Journal of Knowledge and Information Systems – KAIS (IF: 2.936), 2014.
  • A. Shaban, Hamid R. Rabiee, M. Farajtabar, and M. Ghazvninejad, “From Local Similarity to Global Coding; An Application to Image Classification,” IEEE Computer Vision and Pattern Recognition, CVPR, 2013.
  • M. Salehi, Hamid R. Rabiee, “A Measurement Framework for Directed Networks”, IEEE Journal of Selected Areas in Communications (JSAC) (IF: 7.172), Special Issue on Network Science, 2013.
  • M. Salehi, Hamid R. Rabiee, and A. Rajabi, “Sampling from Complex Networks with High Community Structures,” Chaos: An Interdisciplinary Journal of Nonlinear Science (IF: 3.642), 2012.
  • M.H. Rohban, Hamid R. Rabiee, “Supervised Neighborhood Graph Construction for Semi-Supervised Classification”, Pattern Recognition (IF: 7.196), 2012.
  • H. Asheri, Hamid R. Rabiee, and M. H. Rohban, “Signal Extrapolation for Image and Video Error Concealment Using Gaussian Processes with Adaptive non-Stationary Kernels”, IEEE Signal Processing Letters (IF: 3.105), 2012.
  • H. Asheri, Hamid R. Rabiee, N. Pourdamghani, and M. Ghanbari, “Multi-Directional Spatial Error Concealment Using Adaptive Edge Thresholding”, IEEE Transactions on Consumer Electronics (IF: 2.74), 2012.
  • M. Amiri, and Hamid R. Rabiee, “RASIM: A Novel Rotation and Scale Invariant Matching of Local Image Interest Points,” IEEE Transactions on Image Processing (IF: 9.34), 2011.