Propagation Channel Modeling by Deep learning Techniques. - Shirin Seyedsalehi; Vahid Pourahmadi; Hamid Sheikhzadeh; Ali Hossein Gharari Foumani (CoRR, 2019)

Matches Made in Heaven: Toolkit and Large-Scale Datasets for Supervised Query Reformulation. - Negar Arabzadeh; Amin Bigdeli; Shirin Seyedsalehi; Morteza Zihayat; Ebrahim Bagheri (CIKM, 2021)

On the Orthogonality of Bias and Utility in Ad hoc Retrieval. - Amin Bigdeli; Negar Arabzadeh; Shirin Seyedsalehi; Morteza Zihayat; Ebrahim Bagheri (SIGIR, 2021)

A Light-Weight Strategy for Restraining Gender Biases in Neural Rankers. - Amin Bigdeli; Negar Arabzadeh; Shirin Seyedsalehi; Morteza Zihayat; Ebrahim Bagheri (ECIR (2), 2022)

A Neural Approach to Forming Coherent Teams in Collaboration Networks. - Radin Hamidi Rad; Shirin Seyedsalehi; Mehdi Kargar; Morteza Zihayat; Ebrahim Bagheri (EDBT, 2022)

Bias-aware Fair Neural Ranking for Addressing Stereotypical Gender Biases. - Shirin Seyedsalehi; Amin Bigdeli; Negar Arabzadeh; Bhaskar Mitra 001; Morteza Zihayat; Ebrahim Bagheri (EDBT, 2022)

Gender Fairness in Information Retrieval Systems. - Amin Bigdeli; Negar Arabzadeh; Shirin Seyedsalehi; Morteza Zihayat; Ebrahim Bagheri (SIGIR, 2022)

Addressing Gender-related Performance Disparities in Neural Rankers. - Shirin Seyedsalehi; Amin Bigdeli; Negar Arabzadeh; Morteza Zihayat; Ebrahim Bagheri (SIGIR, 2022)

Neural Disentanglement of Query Difficulty and Semantics. - Sara Salamat; Negar Arabzadeh; Shirin Seyedsalehi; Amin Bigdeli; Morteza Zihayat; Ebrahim Bagheri (CIKM, 2023)

De-biasing Relevance Judgements for Fair Ranking. - Amin Bigdeli; Negar Arabzadeh; Shirin Seyedsalehi; Bhaskar Mitra 001; Morteza Zihayat; Ebrahim Bagheri (ECIR (2), 2023)

Understanding and Mitigating Gender Bias in Information Retrieval Systems. - Amin Bigdeli; Negar Arabzadeh; Shirin Seyedsalehi; Morteza Zihayat; Ebrahim Bagheri (ECIR (3), 2023)

Don't Raise Your Voice, Improve Your Argument: Learning to Retrieve Convincing Arguments. - Sara Salamat; Negar Arabzadeh; Amin Bigdeli; Shirin Seyedsalehi; Morteza Zihayat; Ebrahim Bagheri (ECIR (2), 2023)

Mitigating Gender Bias in Information Retrieval Systems. - Shirin Seyedsalehi (ECIR (5), 2025)

Bias-Aware Curriculum Sampling For Fair Ranking. - Shirin Seyedsalehi; Hai Son Le; Morteza Zihayat; Ebrahim Bagheri (SIGIR, 2025)

Reinforcement Learning for Effective Few-Shot Ranking. - Shiva Soleimany; Sajad Ebrahimi; Shirin Seyedsalehi; Fattane Zarrinkalam; Ebrahim Bagheri (SIGIR, 2025)

Understanding and Mitigating Gender Bias in Information Retrieval Systems. - Shirin Seyedsalehi; Amin Bigdeli; Negar Arabzadeh; Batool AlMousawi; Zack Marshall; Morteza Zihayat; Ebrahim Bagheri (Found. Trends Inf. Retr., 2025)

Gender disentangled representation learning in neural rankers. - Shirin Seyedsalehi; Sara Salamat; Negar Arabzadeh; Sajad Ebrahimi; Morteza Zihayat; Ebrahim Bagheri (Mach. Learn., 2025)

A contrastive neural disentanglement approach for query performance prediction. - Sara Salamat; Negar Arabzadeh; Shirin Seyedsalehi; Amin Bigdeli; Morteza Zihayat; Ebrahim Bagheri (Mach. Learn., 2025)