Publication

(Click Here for Updated List of Publications)

Selected Journals:

  • 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:1.75), Accepted March 2019.
  • M. R. Doostmohammadian, Hamid R. Rabiee, U. Khan, “Cyber-Social Systems: Modeling, Inference, and Optimal Design,” IEEE Systems Journal (IF:4.34), Accepted Feb. 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:2.78), Available online, November 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:2.78), Available online, November 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:2.28), 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:2.81), vol. 13, issue 5, 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: 1.94), vol. 51, issue 5, 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:2.58), 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:2.58), vol. 12, issue 2, 2018.
  • Hoda Ayatollahi, Mohammad Khansari, Hamid R. Rabiee, “A push-pull network coding protocol for live peer-to-peer streaming,” Computer Networks (IF:252), vol. 130, 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:2.13), vol. 497, 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:2.51), 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, vol. 5, issue 3, 2018.
  • M.R. Doostmohammadian, Hamid R. Rabiee, U. Khan, “Structural cost-optimal design of sensor networks for distributed estimation,” IEEE Signal Processing Letters (IF:2.528), vol. 25, issue 6, 2018.
  • Mohammadreza Doostmohammadian, Hamid R Rabiee, Houman Zarrabi, Usman A Khan,”Distributed Estimation Recovery Under Sensor Failure,” IEEE Signal Processing Letters (IF:2.528), September 2017.
  • Elham J Barezi, James T Kwok, Hamid R. Rabiee,”Multi-Label learning in the independent label sub-spaces,” Pattern Recognition Letters (IF:2.164), October 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:2.528), 14(5), pp. 592-596, 2017.
  • Eisa Zarepour, Mohammadreza Hosseini, Salil S. Kanhere, Arcot Sowmya, and Hamid R. Rabiee, “Applications and Challenges of Wearable Visual Lifeloggers,” IEEE Computer (IF:1.115), 50(3), pp. 60-69, 2017.
  • Batoul Sarvi, Hamid R. Rabiee, Kiarash Mizanian, “An adaptive cross-layer error control protocol for wireless multimedia sensor networks,” Ad Hoc Networks (IF:2.151), 56, pp. 173-185, 2017.
  • 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:1.592), 13(5), pp. 509-518, 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:2.58), vol. 10, issue 4, June, 2016.
  • A. Soltani-Farani, H. R. Rabiee, and S. A. Hosseini, “Spatial-Aware Dictionary Learning for Hyperspectral Image Classification,” IEEE Transactions on Geoscience and Remote Sensing (IF: 3.467), vol. 53, no.1, pp. 527-541, 2015.
  • A. Shaban, H. R. Rabiee, M. Najibi, and S. Yousefi, “From Local Similarities to Global Coding: A Framework for Coding Applications,” IEEE Transactions on Image Processing (IF: 3.625), 24(12): 5074-5085, 2015.
  • A. Soltani-Farani and H. R. Rabiee, “When Pixels Team up: Spatially-Weighted Sparse Coding for Hyperspectral Image Classification,” IEEE Geoscience and Remote Sensing Letters (IF: 1.809), vol. 12, no. 1, pp. 107-111, 2015.
  • A. Fattaholmanan, H. R. Rabiee, P. Siyari, and , “Peer to Peer Compressive Sensing for Network Monitoring,” IEEE Communication Letters (IF: 1.463), Issue 19, no. 1,  pp. 38-41, 2015.
  • A. Zarezade, H. R. Rabiee, A. Soltani-Farani, and A. Khajenezhad, “Patchwise Joint Sparse Tracking with Occlusion Detection,” IEEE Transactions on Image Processing (IF: 3.199), 2014.
  • J. Muhammadi, H. R. Rabiee, and S. A. Hosseini, “A Unified Statistical Framework for Crowd Labeling,” Journal of Knowledge and Information Systems – KAIS (IF: 2.639), vol. 41, no. 1, October 2014.
  • M. Salehi, H. R. Rabiee, “A Measurement Framework for Directed Networks”, IEEE Journal of Selected Areas in Communications (JSAC) (IF: 3.121), Special Issue on Network Science, Vol. 31, No. 6, pp. 1007-1016, June 2013.
  • M. Salehi, H. R. Rabiee, and A. Rajabi, “Sampling from Complex Networks with High Community Structures,” Chaos: An Interdisciplinary Journal of Nonlinear Science (IF: 2.076), Jun; 22(2): 023126, 2012.
  • M.H. Rohban, H. R. Rabiee, “Supervised Neighborhood Graph Construction for Semi-Supervised Classification”, Pattern Recognition (IF: 3.172), vol. 45, pp. 1363-1372, 2012.
  • H. Asheri, H. 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: 1.674), vol. 19, pp. 700 - 703, October 2012.
  • H. Asheri, H. R. Rabiee, N. Pourdamghani, and M. Ghanbari, “Multi-Directional Spatial Error Concealment Using Adaptive Edge Thresholding”, IEEE Transactions on Consumer Electronics (IF: 1.087),  vol. 58, pp. 880 - 885, August 2012.
  • M. Amiri and H. R. Rabiee, “RASIM: A Novel Rotation and Scale Invariant Matching of Local Image Interest Points”, IEEE Transactions on Image Processing (IF: 3.199), vol. 20, pp. 3580-91, 2011.
  • A. Farzad and H. R. Rabiee, “Modeling Topological Characteristics of BitTorrent-Like Peer-to-Peer Networks”, IEEE Communications Letters (IF: 1.463), vol. 15, pp. 896-898, 2011.
  • Selected Conferences:

  • Seyed Ali Osia, Borzoo Rassouli, Hamed Haddadi, Hamid R. Rabiee, Deniz Gunduz, “Privacy Against Brute-Force Inference Attacks,” IEEE International Symposium on Information Theory (ISIT), July 7-12, Paris, France, 2019.
  • Maedeh S. Tahaei, Emran Talezadeh, Somayeh Maleki-Balajoo, Hamid R. Rabiee, “Altered Resting-State Functional Connectivity of Brain Network in Asperger Syndrome,” OHBM 2019 (Rank A), June 2019.
  • Emran Talezadeh, Maedeh S. Tahaei, Hamid R. Rabiee, “Multilayer fMRI Networks Based on Information Theory,” OHBM 2019 (Rank A), June 2019.
  • Ali Zarezade, Ali Khodadadi, Mehrdad Farajtabar, Hamid R. Rabiee, Hongyuan Zha, “Correlated Cascades: Compete or Cooperate,” pp. 238-244, AAAI 2017.
  • Ali Zarezade, Utkarsh Upadhyay, Hamid R. Rabiee, and Manuel Gomez-Rodriguez, “RedQueen: An Online Algorithm for Smart Broadcasting in Social Networks,” pp. 51-60, WSDM 2017.
  • Sina Sajadmanesh, Sina Jafarzadeh, Seyed Ali Ossia, Hamid R. Rabiee, Hamed Haddadi, Yelena Mejova, Mirco Musolesi, Emiliano De Cristofaro, and Gianluca Stringhini, “Kissing Cuisines: Exploring Worldwide Culinary Habits on the Web.,” pp. 1013-1021, WWW (Companion Volume), 2017.
  • Sarah Rastegar, Mahdieh Soleymani, Hamid R. Rabiee, Seyed Mohsen Shojaee, “MDL-CW: A Multimodal Deep Learning Framework with Cross Weights,” CVPR, Los Vegas, Nevada, June 26th – July 1st, 2016.
  • Hamidreza Mahyar, Hamid R. Rabiee, Ali Movaghar, Elaheh Ghalebi, Ali Nazemian,”CS-ComDet: A Compressive Sensing Approach for Inter-Community Detection in Social Networks,” ASONAM 2015.
  • S. A. Hosseini, H. R. Rabiee, H. and Hafez, A. Soltani-Farani, “Classifying A Stream of Infinite Concepts: A Bayesian Non-Parametric Approach,” ECML PKDD 2014, Nancy, France, 2014.
  • A. Soltani-Farani, H. R. Rabiee, and A. Zarezade, “Collaborating Frames: Temporally Weighted Sparse Representation for Visual Tracking,” IEEE International Conference in Image Processing, Paris, France, 2014.
  • S. Haghiri, H. R. Rabiee, A. Soltani-Farani, S. A. Hosseini, and M. Shadloo, “Locality Preserving Discriminative Dictionary Learning,” IEEE International Conference in Image Processing, Paris, France, 2014.
  • A. Shaban, H. R. Rabiee, M. Farajtabar, M. Ghazvininejad, “From Local Similarity to Global Coding: An Application to Image Classification,” CVPR, Portland, Oregon, 2013.
  • H. S. Ayatollahi, H. R. Rabiee, M. H. Rohban, and M. Salehi, “Incorporating Betweenness Centrality in Compressive Sensing for Congestion Detection,” IEEE 38th International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Vancouver, Canada, 2013.
  • A. Ghasemi, H. R. Rabiee, M. T. Manzouri, and M. H. Rohban, “A Bayesian Approach to the Data Description Problem”, AAAI, Toronto, Ontario, Canada, July 2012.
  • M. Eslami, H. R. Rabiee, and M. Salehi, “Diffusion-Aware Sampling and Estimation in Information Diffusion Networks”, ASE/IEEE International Conference on Social Computing, Amsterdam, Netherlands, September 2012.
  • H. Asheri, A. Bayati, H. R. Rabiee, and M. H. Rohban, “Motion Vector Recovery With Gaussian Process Regression”, IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2011), Prague, Czech Republic, May 22-27, 2011.
  • H. Asheri, H R. Rabiee, N. Pourdamghani, and M. H. Rohban, “A Gaussian Process Regression Framework for Spatial Error Concealment with Adaptive Kernels”, ICPR, 2010.
  • M.R. Jamali, S. Zokaei, and H.R. Rabiee, “A New Approach for Distributed Image Coding in Wireless Sensor Networks”, IEEE Symposium on Computers and Communications, 2010.
  • MJ. Khaledi, H R. Rabiee, and MH.. Khaledi, “Fuzzy Mobility Analyzer: A Framework for Evaluating Mobility Models in Mobile Ad-Hoc Networks”, IEEE Wireless Communications and Networking Conference(WCNC’10), Sydney, Australia, 2010.
  • M.Y. Naderi, H.R. Rabiee, and M. Khansari, “Performance Analysis of Selected Error Control Protocols in Wireless Multimedia Sensor Networks”, The 18th IEEE/ACM Conference on Modeling, Analysis and Simulation of Computer and Telecommunication Systems (MASCOTS2010), Miami, Florida, 2010.
  • M. H. Rohban, H. R. Rabiee, Arash Vahdat, “Face virtual pose generation using aligned locally linear regression for face recognition,” IEEE ICIP 2009, pp. 4121-4124, 2009.
  • P. Taslimi, H. R. Rabiee, H. Shakouri, “An Empirical Centre Assignment in RBF Network for Quantification of Anaesthesia Using Wavelet-Domain Features,” The 4th International IEEE EMBS Conference on Neural Engineering, Antalya, Turkey, April 29 through May 2, 2009.
  • MJ. Khaledi, A. M. A. Hemmatyar, H. R. Rabiee, S. M. Mousavi, MH. Khaledi,”Mobility Analyzer: A Framework for Analysis and Recognition of Mobility Traces in Mobile Ad-Hoc Networks,” In Proceedings of the IFIP/IEEE third International Conference on New Technologies, Mobility and Security (NTMS’09), Cairo, Egypt, December 2009.
  • H. Roodaki, H. R. Rabiee, M. Ghanbari, “Performance Enhancement of H.264 CODEC by Layered Coding,” IEEE ICASSP 2008, March 30, April 4, Las Vegas, USA, 2008.
  • M. Kefayati, M. S. Talebi, H. R. Rabiee and B. H. Khalaj. “On Secure Consensus Information Fusion over Sensor Networks,” in proceedings of the ACS/IEEE International Conference on Computer Systems and Applications (AICCSA 2007), 2007.
  • S. M. Mousavi, H. R. Rabiee, M. Moshref, “MobiSim: A Framework for Simulation of Mobility Models in Mobile Ad-Hoc Networks,” The 4th IEEE International Conference on Mobile Technology, Applications and Systems, Mobility 2007, Singapore, 10th – 12th September 2007.
  • Books & Book Chapters:

  • H. R. Rabiee, E-Government (in Farsi), The German Experience, ISBN964-92382-4-7, 2004.
  • M. Khansari and H. R. Rabiee (in Farsi), An Introduction to Free and Open Source Softwares , ISBN:964-96535-0-3, 2005.
  • Mohammad Khansari, Hamid. R. Rabiee (in Farsi), Free/Open Source Software Licenses, ISBN: 964-96535-9-7, 2006.