About Me

I am a Ph.D. student in computer engineering at Sharif University of Technology. You can find more about me on my CV.
My research focuses on developing machine learning models and algorithms for probabilistic analysis of social networks dynamics. It has practical applications in predicting users' behaviors, control and shaping of users' activities, and providing context-aware recommendations.
By the way, I am Ali Zarezade. Contact me at: familyname(at)ce.sharif.edu

Projects

  • Visual Sparse Tracking

    Modeling object apperance model by a dictionary, and find the best taget candidate using the sparse representation methods.

  • Event History Analysis

    Modeling of events on complex networks by stochastic point processes and control them by stochastic optimal control.

Publications

RedQueen: An Online Algorithm for Smart Broadcasting in Social Networks, by Ali Zarezade, Utkarsh Upadhyay, Hamid R. Rabiee, and Manuel Gomez Rodriguez, 10th International Conference on Web Search and Data Mining (WSDM), 2017. PAPER

Correlated Cascades: Compete or Cooperate, by Ali Zarezade, Ali Khodadadi, Mehrdad Farajtabar, Hamid R. Rabiee, and Hongyuan Zha, Thirty-First AAAI Conference on Artificial Intelligence, 2017. PAPER, CODE

Spatio-Temporal Modeling of Check-ins in Location-Based Social Networks, by Ali Zarezade, Sina Jafarzadeh, and Hamid R Rabiee, arXiv preprint arXiv:1611.07710, 2016. PAPER, CODE

Patchwise Joint Sparse Tracking with Occlusion Detection by Ali Zarezade, Hamid R. Rabiee, and A. Soltani-Farani, IEEE Transactions on Image Processing (TIP), vol. 23, issue 10, 2014. PAPER, CODE

Collaborating Frames: Temporally Weighted Sparse Representation for Visual Tracking by Ali Soltani-Farani, Hamid R. Rabiee, and Ali Zarezade, IEEE International Conference on Image Processing (ICIP), IEEE, 2014. PAPER, CODE

The visual object tracking vot2013 challenge results by Matej Kristan et.al and Ali Zarezade, IEEE International Conference on Computer Vision Workshops, 2013. PAPER, CODE