Cryptanalysis of GSM encryption algorithm A5/1. - Vahid Amin Ghafari; Ali Vardasbi; Javad Mohajeri (ISC Int. J. Inf. Secur., 2012)

On the multi _ chi-square tests and their data complexity. - Ali Vardasbi; Mahmoud Salmasizadeh; Javad Mohajeri (ISC Int. J. Inf. Secur., 2012)

Non-Delegatable Strong Designated Verifier Signature Using a Trusted Third Party without Pairings. - Maryam Rajabzadeh Asaar; Ali Vardasbi; Mahmoud Salmasizadeh (AISC, 2013)

Superpoly algebraic normal form monomial test on Trivium. - Ali Vardasbi; Mahmoud Salmasizadeh; Javad Mohajeri (IET Inf. Secur., 2013)

A Behavioral Analysis on the Reselection of Seed Nodes in Independent Cascade Based Influence Maximization. - Ali Vardasbi; Heshaam Faili; Masoud Asadpour (CoRR, 2017)

SWIM: Stepped Weighted Shell Decomposition Influence Maximization for Large-Scale Networks. - Ali Vardasbi; Heshaam Faili; Masoud Asadpour (ACM Trans. Inf. Syst., 2017)

Solving submodular text processing problems using influence graphs. - Ali Vardasbi; Heshaam Faili; Masoud Asadpour (Soc. Netw. Anal. Min., 2019)

When Inverse Propensity Scoring does not Work: Affine Corrections for Unbiased Learning to Rank. - Ali Vardasbi; Harrie Oosterhuis; Maarten de Rijke (CIKM, 2020)

Cascade Model-based Propensity Estimation for Counterfactual Learning to Rank. - Ali Vardasbi; Maarten de Rijke; Ilya Markov (SIGIR, 2020)

Cross-Market Product Recommendation. - Hamed R. Bonab; Mohammad Aliannejadi; Ali Vardasbi; Evangelos Kanoulas; James Allan (CIKM, 2021)

Mixture-Based Correction for Position and Trust Bias in Counterfactual Learning to Rank. - Ali Vardasbi; Maarten de Rijke; Ilya Markov (CIKM, 2021)

Omission of Information: Identifying Political Slant via an Analysis of Co-occurring Entities. - Jonas Ehrhardt; Timo Spinde; Ali Vardasbi; Felix Hamborg (ISI, 2021)

XMRec: Workshop on Cross-Market Recommendation. - Mohammad Aliannejadi; Hamed R. Bonab; Ali Vardasbi; Evangelos Kanoulas; James Allan; Vanessa Murdock 001 (RecSys, 2021)

The University of Amsterdam at the TREC 2021 Fair Ranking Track. - Ali Vardasbi; Gabriel Bénédict; Shashank Gupta 001; Maria Heuss; Pooya Khandel; Ming Li 068; Fatemeh Sarvi (TREC, 2021)

Intersection of Parallels as an Early Stopping Criterion. - Ali Vardasbi; Maarten de Rijke; Mostafa Dehghani 001 (CIKM, 2022)

Probabilistic Permutation Graph Search: Black-Box Optimization for Fairness in Ranking. - Ali Vardasbi; Fatemeh Sarvi; Maarten de Rijke (SIGIR, 2022)

State Spaces Aren't Enough: Machine Translation Needs Attention. - Ali Vardasbi; Telmo Pessoa Pires; Robin M. Schmidt; Stephan Peitz (EAMT, 2023)

Recent Advances in the Foundations and Applications of Unbiased Learning to Rank. - Shashank Gupta 001; Philipp Hager; Jin Huang 010; Ali Vardasbi; Harrie Oosterhuis (SIGIR, 2023)

Repetition and Exploration in Sequential Recommendation. - Ming Li 068; Ali Vardasbi; Andrew Yates; Maarten de Rijke (SIGIR, 2023)

On the Impact of Outlier Bias on User Clicks. - Fatemeh Sarvi; Ali Vardasbi; Mohammad Aliannejadi; Sebastian Schelter; Maarten de Rijke (SIGIR, 2023)

Group Membership Bias. - Ali Vardasbi; Maarten de Rijke; Fernando Diaz 001; Mostafa Dehghani 001 (CoRR, 2023)

Emotional Insights for Food Recommendations. - Mehrdad Rostami; Ali Vardasbi; Mohammad Aliannejadi; Mourad Oussalah 002 (ECIR (2), 2024)

Bridging Search and Recommendation in Generative Retrieval: Does One Task Help the Other? - Gustavo Penha; Ali Vardasbi; Enrico Palumbo; Marco De Nadai; Hugues Bouchard (RecSys, 2024)

The Impact of Group Membership Bias on the Quality and Fairness of Exposure in Ranking. - Ali Vardasbi; Maarten de Rijke; Fernando Diaz 001; Mostafa Dehghani 001 (SIGIR, 2024)

Unbiased Learning to Rank: On Recent Advances and Practical Applications. - Shashank Gupta 001; Philipp Hager; Jin Huang 010; Ali Vardasbi; Harrie Oosterhuis (WSDM, 2024)

Adaptive Repetition for Mitigating Position Bias in LLM-Based Ranking. - Ali Vardasbi; Gustavo Penha; Claudia Hauff; Hugues Bouchard (CoRR, 2025)

Semantic IDs for Joint Generative Search and Recommendation. - Gustavo Penha; Edoardo D'Amico; Marco De Nadai; Enrico Palumbo; Alexandre Tamborrino; Ali Vardasbi; Max Lefarov; Shawn Lin; Timothy Christopher Heath; Francesco Fabbri; Hugues Bouchard (CoRR, 2025)