Team selection for prediction tasks. - MohammadAmin Fazli; Azin Ghazimatin; Jafar Habibi; Hamid Haghshenas (J. Comb. Optim., 2016)

Learning to Un-Rank: Quantifying Search Exposure for Users in Online Communities. - Asia J. Biega; Azin Ghazimatin; Hakan Ferhatosmanoglu; Krishna P. Gummadi; Gerhard Weikum (CIKM, 2017)

FAIRY: A Framework for Understanding Relationships Between Users' Actions and their Social Feeds. - Azin Ghazimatin; Rishiraj Saha Roy; Gerhard Weikum (WSDM, 2019)

Explaining Recommendations in Heterogeneous Networks. - Azin Ghazimatin (SIGIR, 2020)

PRINCE: Provider-side Interpretability with Counterfactual Explanations in Recommender Systems. - Azin Ghazimatin; Oana Balalau; Rishiraj Saha Roy; Gerhard Weikum (WSDM, 2020)

Counterfactual Explanations for Neural Recommenders. - Khanh Hiep Tran; Azin Ghazimatin; Rishiraj Saha Roy (SIGIR, 2021)

ELIXIR: Learning from User Feedback on Explanations to Improve Recommender Models. - Azin Ghazimatin; Soumajit Pramanik; Rishiraj Saha Roy; Gerhard Weikum (WWW, 2021)

Enhancing explainability and scrutability of recommender systems. - Azin Ghazimatin (2021)

Measuring Fairness of Rankings under Noisy Sensitive Information. - Azin Ghazimatin; Matthäus Kleindessner; Chris Russell 001; Ziawasch Abedjan; Jacek Golebiowski (FAccT, 2022)

Enhancing Explainability and Scrutability of Recommender Systems. - Azin Ghazimatin (BTW, 2023)

PODTILE: Facilitating Podcast Episode Browsing with Auto-generated Chapters. - Azin Ghazimatin; Ekaterina Garmash; Gustavo Penha; Kristen Sheets; Martin Achenbach; Oguz Semerci; Remi Galvez; Marcus Tannenberg; Sahitya Mantravadi; Divya Narayanan; Ofeliya Kalaydzhyan; Douglas Cole; et al. (CIKM, 2024)

Transforming Podcast Preview Generation: From Expert Models to LLM-Based Systems. - Winstead Zhu; Ann Clifton; Azin Ghazimatin; Edgar Tanaka; Ward Ronan (CoRR, 2025)