HCMI
Lab
The Human-Centered Machine Intelligence Lab is a research lab focused on advancing AI and machine learning systems that are fair, transparent, and aligned with human values.
Latest News
🚀 We're Hiring — Join the HCMI Lab
We are actively recruiting motivated PhD, MASc, MEng, undergraduate, visiting, and postdoctoral researchers passionate about trustworthy, responsible, and human-centered AI. Explore openings, research areas, and how to apply.
Accepted in CIKM 2026
Our paper on "EviQE: Evidence Selection for LLM-Based Query Expansion" by Hai Son Le, Amin Bigdeli, Shirin Seyedsalehi, Morteza Zihayat, and Ebrahim Bagheri has been accepted as a short paper at CIKM 2026.
Accepted in CIKM 2026
Our paper on "The Wisdom of the Right Crowd: Platform Governance via Local Vote Authority Ranking" by Shayan Alipour, Mattia Samory, Mehdi Kargar, and Morteza Zihayat has been accepted as a short paper at CIKM 2026.
Accepted in CIKM 2026
Our paper on "Reasoning About Query Difficulty to Predict Retrieval Effectiveness" by Seyed Mohammad Hosseini, Negar Arabzadeh, Morteza Zihayat, and Ebrahim Bagheri has been accepted as a short paper at CIKM 2026.
Accepted in ASONAM 2026
Our paper on "Task-Level Inequality in DAO Work Systems: An Empirical Analysis of Participation, Rewards, and Skill Structure" by Lingling Zhang, Cherie Ding, Morteza Zihayat, and Lian Zhao has been accepted at ASONAM 2026.
Accepted in SIGIR 2026
Our paper on "Failing Forward: Understanding Query Failure in Retrieval, Judgment, and Generation" by Seyed Mohammad Hosseini, Negar Arabzadeh, Mohammad Hossein Saliminabi, Dimitrios Androutsos, Morteza Zihayat, and Ebrahim Bagheri has been accepted at SIGIR 2026 (Top-tier conference in Information Retrieval).
Published in Machine Learning
Our paper on "A Regularization Framework for Gender Bias Mitigation in Dense Neural Rankers" by Shirin Seyedsalehi, Morteza Zihayat, and Ebrahim Bagheri has been published in the Machine Learning journal.
Accepted in ACM TIST
Our paper on "Led to Mislead: Adversarial Content Injection for Attacks on Neural Ranking Models" by Amin Bigdeli, Amir Khosrojerdi, Radin Hamidi Rad, Morteza Zihayat, Charles L. A. Clarke, and Ebrahim Bagheri has been accepted in ACM Transactions on Intelligent Systems and Technology (TIST).
Accepted in WSDM 2026
Our paper on "Self-Paced Fair Ranking with Loss as a Proxy for Bias" by Hai Son Le, Shirin Seyedsalehi, Morteza Zihayat, and Ebrahim Bagheri has been accepted at WSDM 2026.
Accepted in ECIR 2026
Our paper on "Refairmulate: A Benchmark Dataset for Gender-Fair Query Reformulations" by Hai Son Le, Shirin Seyedsalehi, Morteza Zihayat, and Ebrahim Bagheri has been accepted at ECIR 2026 (Top-tier conference in Information Retrieval).
Accepted in ECIR 2026
Our paper on "When Attention Becomes Exposure in Generative Search" by Shayan Alipour, Mehdi Kargar, and Morteza Zihayat has been accepted at ECIR 2026 (Top-tier conference in Information Retrieval).
Accepted in WWW 2026
Our paper on "Decentralized in Name Only: The Centralization of DAO Labor" by Lingling Zhang, Morteza Zihayat, and Ebrahim Bagheri has been accepted at WWW 2026.
Our past and current Research Collaborators
Our past and current collaborators
