Mobile clouds: How to find opportunities. - Mohammad Javad Salehi; Babak Hossein Khalaj; Marcos D. Katz; Ghazal Fazelnia; Parishad Karimi; Javier Del Ser (CAMAD, 2012)

Mobile cloud management: A new framework. - Mohammad Javad Salehi; Babak Hossein Khalaj; Marcos D. Katz; Ghazal Fazelnia; Parishad Karimi (PIMRC, 2012)

Efficient convex relaxation for stochastic optimal distributed control problem. - Abdulrahman Kalbat; Ramtin Madani; Ghazal Fazelnia; Javad Lavaei (Allerton, 2014)

Convex relaxation for optimal distributed control problem. - Ghazal Fazelnia; Ramtin Madani; Javad Lavaei (CDC, 2014)

Low-rank solutions of matrix inequalities with applications to polynomial optimization and matrix completion problems. - Ramtin Madani; Ghazal Fazelnia; Somayeh Sojoudi; Javad Lavaei (CDC, 2014)

Graph-theoretic algorithms for polynomial optimization problems. - Somayeh Sojoudi; Ramtin Madani; Ghazal Fazelnia; Javad Lavaei (CDC, 2014)

Transformation of optimal centralized controllers into near-global static distributed controllers. - Salar Fattahi; Ghazal Fazelnia; Javad Lavaei (CDC, 2015)

Finding Low-rank Solutions of Sparse Linear Matrix Inequalities using Convex Optimization. - Ramtin Madani; Somayeh Sojoudi; Ghazal Fazelnia; Javad Lavaei (SIAM J. Optim., 2017)

Convex Relaxation for Optimal Distributed Control Problems. - Ghazal Fazelnia; Ramtin Madani; Abdulrahman Kalbat; Javad Lavaei (IEEE Trans. Autom. Control., 2017)

CRVI: Convex Relaxation for Variational Inference. - Ghazal Fazelnia; John W. Paisley (ICML, 2018)

Mixed Membership Recurrent Neural Networks. - Ghazal Fazelnia; Mark Ibrahim; Ceena Modarres; Kevin Wu; John W. Paisley (CoRR, 2018)

Transformation of Optimal Centralized Controllers Into Near-Globally Optimal Static Distributed Controllers. - Salar Fattahi; Ghazal Fazelnia; Javad Lavaei; Murat Arcak (IEEE Trans. Autom. Control., 2019)

Mixed membership recurrent neural networks for modeling customer purchases. - Ghazal Fazelnia; Mark Ibrahim; Ceena Modarres; Kevin Wu; John W. Paisley (ICAIF, 2020)

Model Selection for Production System via Automated Online Experiments. - Zhenwen Dai; Praveen Chandar; Ghazal Fazelnia; Benjamin A. Carterette; Mounia Lalmas (NeurIPS, 2020)

Trajectory Based Podcast Recommendation. - Greg Benton; Ghazal Fazelnia; Alice Wang; Ben Carterette (CoRR, 2020)

Probabilistic Orthogonal Matching Pursuit. - Ghazal Fazelnia; John W. Paisley (IEEE Big Data, 2022)

Variational User Modeling with Slow and Fast Features. - Ghazal Fazelnia; Eric Simon; Ian Anderson 003; Benjamin A. Carterette; Mounia Lalmas (WSDM, 2022)

Choice of Implicit Signal Matters: Accounting for User Aspirations in Podcast Recommendations. - Zahra Nazari; Praveen Chandar; Ghazal Fazelnia; Catherine M. Edwards; Benjamin A. Carterette; Mounia Lalmas (WWW, 2022)

Graph Learning for Exploratory Query Suggestions in an Instant Search System. - Enrico Palumbo; Andreas Damianou; Alice Wang; Alva Liu; Ghazal Fazelnia; Francesco Fabbri; Rui Ferreira; Fabrizio Silvestri; Hugues Bouchard; Claudia Hauff; Mounia Lalmas; Ben Carterette; et al. (CIKM, 2023)

Generalized User Representations for Transfer Learning. - Ghazal Fazelnia; Sanket Gupta; Claire Keum; Mark Koh; Ian Anderson 003; Mounia Lalmas (CoRR, 2024)

Stochastic Variational Inference with Tuneable Stochastic Annealing. - John Paisley; Ghazal Fazelnia; Brian Barr (CoRR, 2025)

Embedding-to-Prefix: Parameter-Efficient Personalization for Pre-Trained Large Language Models. - Bernd Huber; Ghazal Fazelnia; Andreas Damianou; Sebastian Peleato; Max Lefarov; Praveen Ravichandran; Marco De Nadai; Mounia Lalmas-Roelleke; Paul N. Bennett (CoRR, 2025)