Publications

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

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

Amirhossein Razavi, Mina Soltangheis, Negar Arabzadeh, Sara Salamat, Morteza Zihayat, Ebrahim Bagheri (2025). Benchmarking prompt sensitivity in large language models. ECIR.

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

Yisheng Li, Iman Zadehnoori, Ahmad Jowhar, Sean Wise, Andre Laplume, Morteza Zihayat (2024). Learning from Yesterday: Predicting early-stage startup success for accelerators through content and cohort dynamics. Journal of Business Venturing Insights.

Roohollah Etemadi, Morteza Zihayat, Kuan Feng, Jason Adelman, Fattane Zarrinkalam, Ebrahim Bagheri (2024). It Takes a Team to Triumph: Collaborative Expert Finding in Community QA Networks. ACM SIGIR Asia Pacific.

Seyed Mohammad Hosseini, Negar Arabzadeh, Morteza Zihayat, Ebrahim Bagheri (2024). Enhanced retrieval effectiveness through selective query generation. ACM CIKM.

Morteza Zihayat Kermani, Roohollah Etemadi, Ebrahim Bagheri, Kuan Feng, Jason Walter Adelman (2023). TEAM DISCOVERY FOR COMMUNITY-BASED QUESTION ANSWERING SYSTEMS. US Patent.

Sara Salamat, Negar Arabzadeh, Shirin Seyedsalehi, Amin Bigdeli, Morteza Zihayat, Ebrahim Bagheri (2023). Neural disentanglement of query difficulty and semantics. ACM CIKM.

Sara Salamat, Negar Arabzadeh, Fattane Zarrinkalam, Morteza Zihayat, Ebrahim Bagheri (2023). Learning query-space document representations for high-recall retrieval. ECIR.

Roohollah Etemadi, Morteza Zihayat, Kuan Feng, Jason Adelman, Ebrahim Bagheri (2023). Embedding-based team formation for community question answering. Information Sciences.

Andrew Chai, Alireza Vezvaei, Lukasz Golab, Mehdi Kargar, Divesh Srivastava, Jaroslaw Szlichta, Morteza Zihayat (2023). EAGER: Explainable question answering using knowledge graphs. GRADES-NDA.

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

Amin Bigdeli, Negar Arabzadeh, Shirin Seyedsalehi, Bhaskar Mitra, Morteza Zihayat, Ebrahim Bagheri (2023). De-biasing relevance judgements for fair ranking. ECIR.

Milad Katebi, Morteza Zihayat, Mani Poshdar, Mostafa Babaeian Jelodar (2023). Chapter Enhancing Disaster Resilience Studies: Leveraging Linked Data and Natural Language Processing for Consistent Open-Ended Interviews. Firenze University Press.

Yisheng Li, Ravi Vatrapu, Morteza Zihayat (2023). A SYSTEMATIC REVIEW OF COMPUTATIONAL METHODS IN AND RESEARCH TAXONOMY OF HOMOPHILY IN INFORMATION SYSTEMS. Journal Article.

Adrienne Mok, Hong Yu, Morteza Zihayat (2022). The trends of sustainability in the luxury fashion industry: A Triple Bottom Line analysis. Journal of Global Fashion Marketing.

Xingwei Yang, Alexandra Joukova, Anteneh Ayanso, Morteza Zihayat (2022). Social influence-based contrast language analysis framework for clinical decision support systems. Decision Support Systems.

Xingwei Yang, Alexandra Joukova, Anteneh Ayanso, Morteza Zihayat (2022). Social influence-based contrast language analysis framework for clinical decision support systems. Decision Support Systems.

Steven Kavaratzis, Ellen Choi, Mehdi Kargar, Morteza Zihayat (2022). How Well We Know Wellness: Closing the Gap on Wellness Program Research in the Workplace. AOM.

Amin Bigdeli, Negar Arabzadeh, Shirin Seyedsalehi, Morteza Zihayat, Ebrahim Bagheri (2022). Gender fairness in information retrieval systems. ACM SIGIR.

Alireza Vezvaei, Lukasz Golab, Mehdi Kargar, Divesh Srivastava, Jaroslaw Szlichta, Morteza Zihayat (2022). Fine-Tuning Dependencies with Parameters. EDBT.

Alireza Vezvaei, Lukasz Golab, Mehdi Kargar, Divesh Srivastava, Jaroslaw Szlichta, Morteza Zihayat (2022). Fine-Tuning Dependencies with Parameters. EDBT.

Soroosh Sorkhani, Roohollah Etemadi, Amin Bigdeli, Morteza Zihayat, Ebrahim Bagheri (2022). Feature-based question routing in community question answering platforms. Information Sciences.

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

Anteneh Ayanso, Mingshan Han, Morteza Zihayat (2022). An automated mobile app labeling framework based on primary motivations for smartphone use. International Journal of Web Information Systems.

Shirin Seyedsalehi, Amin Bigdeli, Negar Arabzadeh, Morteza Zihayat, Ebrahim Bagheri (2022). Addressing gender-related performance disparities in neural rankers. ACM SIGIR.

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

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

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

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

John Nemec, Heidar Davoudi, Lukasz Golab, Mehdi Kargar, Yuliya Lytvyn, Piotr Mierzejewski, Jaroslaw Szlichta, Morteza Zihayat (2021). RW-Team: Robust Team Formation using Random Walk. ACM CIKM.

Negar Arabzadeh, Amin Bigdeli, Morteza Zihayat, Ebrahim Bagheri (2021). Query Performance Prediction Through Retrieval Coherency. ECIR.

Roohollah Etemadi, Morteza Zihayat, Kuan Feng, Jason Adelman, Ebrahim Bagheri (2021). OpenAttHetRL: An Open Source Toolkit for Attributed Heterogeneous Network Representation Learning. ACM CIKM.

Amin Bigdeli, Negar Arabzadeh, Shirin Seyedsalehi, Morteza Zihayat, Ebrahim Bagheri (2021). On the orthogonality of bias and utility in ad hoc retrieval. ACM SIGIR.

Negar Arabzadeh, Amin Bigdeli, Shirin Seyedsalehi, Morteza Zihayat, Ebrahim Bagheri (2021). Matches made in heaven: Toolkit and large-scale datasets for supervised query reformulation. ACM CIKM.

Morteza Zihayat, Anteneh Ayanso, Heidar Davoudi, Mehdi Kargar, Nigussie Mengesha (2021). Leveraging non-respondent data in customer satisfaction modeling. Journal of Business Research.

Amin Bigdeli, Negar Arabzadeh, Morteza Zihayat, Ebrahim Bagheri (2021). Exploring Gender Biases in Information Retrieval Relevance Judgement Datasets. ECIR.

Roohollah Etemadi, Morteza Zihayat, Kuan Feng, Jason Adelman, Ebrahim Bagheri (2021). Collaborative experts discovery in social coding platforms. ACM CIKM.

Roohollah Etemadi, Morteza Zihayat, Kuan Feng, Jason Adelman, Ebrahim Bagheri (2021). Collaborative experts discovery in social coding platforms. ACM CIKM.

Morteza Zihayat, Rochelle Etwaroo (2021). A non-factoid question answering system for prior art search. Expert Systems with Applications.

Mahdi R Alagheband, Atefeh Mashatan, Morteza Zihayat (2020). Time-based gap analysis of cybersecurity trends in academic and digital media. ACM Transactions on Management Information Systems (TMIS).

Spencer Bryson, Heidar Davoudi, Lukasz Golab, Mehdi Kargar, Yuliya Lytvyn, Piotr Mierzejewski, Jaroslaw Szlichta, Morteza Zihayat (2020). Robust keyword search in large attributed graphs. Information Retrieval Journal.

Heidar Davoudi, Zana Rashidi, Aijun An, Morteza Zihayat, Gordon Edall (2020). Paywall policy learning in digital news media. IEEE Transactions on Knowledge and Data Engineering.

M Kargar, L Golab, D Srivastava, J Szlichta, M Zihayat (2020). Effective Keyword Search over Weighted Graphs. IEEE Transactions on Knowledge and Data Engineering.

Abeer Khan, Lukasz Golab, Mehdi Kargar, Jaroslaw Szlichta, Morteza Zihayat (2020). Compact group discovery in attributed graphs and social networks. Information Processing & Management.

Xingwei Yang, Rhonda McEwen, Liza Robee Ong, Morteza Zihayat (2020). A big data analytics framework for detecting user-level depression from social networks. International Journal of Information Management.

Mehdi Kargar, Morteza Zihayat, Jaroslaw Szlichta (2019). Mining and exploration of attributed graphs: theory and applications. CASCON.

Morteza Zihayat, Anteneh Ayanso, Xing Zhao, Heidar Davoudi, Aijun An (2019). A utility-based news recommendation system. Decision Support Systems.

Morteza Zihayat, Mehdi Kargar, Jaroslaw Szlichta (2019). A Survey of High Utility Pattern Mining Algorithms for Big Data. High-Utility Pattern Mining: Theory, Algorithms and Applications.

Morteza Zihayat, Aijun An, Lukasz Golab, Mehdi Kargar, Jaroslaw Szlichta (2018). Effective Team Formation in Expert Networks. AMW.

Heidar Davoudi, Aijun An, Morteza Zihayat, Gordon Edall (2018). Adaptive paywall mechanism for digital news media. ACM SIGKDD.

Heidar Davoudi, Morteza Zihayat, Aijun An (2017). Time-aware subscription prediction model for user acquisition in digital news media. SIAM Data Mining.

Morteza Zihayat, Heidar Davoudi, Aijun An (2017). Mining significant high utility gene regulation sequential patterns. BMC Systems Biology.

Morteza Zihayat, Yan Chen, Aijun An (2017). Memory-adaptive high utility sequential pattern mining over data streams. Machine Learning.

Morteza Zihayat, Cheng-Wei Wu, Aijun An, Vincent S Tseng, Chien Lin (2017). Efficiently mining high utility sequential patterns in static and streaming data. Intelligent Data Analysis.

Morteza Zihayat, Heidar Davoudi, Aijun An (2016). Top-k utility-based gene regulation sequential pattern discovery. IEEE BIBM.

Morteza Zihayat (2016). Mining High Utility Patterns Over Data Streams. Journal Article.

Morteza Zihayat, Zane Zhenhua Hut, Aijun An, Yonggang Hut (2016). Distributed and parallel high utility sequential pattern mining. IEEE Big Data.

Morteza Zihayat, Aijun An, Lukasz Golab, Mehdi Kargar, Jaroslaw Szlichta (2016). Authority-based team discovery in social networks. arXiv preprint.

Morteza Zihayat, Aijun An, Lukasz Golab, Mehdi Kargar, Jaroslaw Szlichta (2016). Authority-based team discovery in social networks. EDBT.

Morteza Zihayat, Cheng-Wei Wu, Aijun An, Vincent S Tseng (2015). Mining high utility sequential patterns from evolving data streams. ASE BigData.

Morteza Zihayat, Cheng-Wei Wu, Aijun An, Vincent S Tseng (2015). Mining high utility sequential patterns from evolving data streams. ASE BigData.

Morteza Zihayat, Y Chan, Aijun An (2015). Memory-bounded high utility sequential pattern mining over data streams. York University Technical Report.

Morteza Zihayat, Mehdi Kargar, Aijun An (2014). Two-phase pareto set discovery for team formation in social networks. IEEE WI-IAT.

Morteza Zihayat, Aijun An (2014). Mining top-k high utility patterns over data streams. Information Sciences.

Admin, Cheng-Wei Wu, Aijun An, Vincent S Tseng (2014). Efficient Mining of High Utility Sequential Patterns Over Data Streams. Journal Article.

Morteza Zihayat, Cheng-Wei Wu, Aijun An, Vincent S Tseng (2014). Efficient Mining of High Utility Sequential Patterns Over Data Streams. Journal Article.

Mehdi Kargar, Aijun An, Nick Cercone, Kayvan Tirdad, Morteza Zihayat (2013). Signal detection in genome sequences using complexity based features. BioDM Workshop.

Morteza Zihayat, Aijun An (2013). Mining top-k high utility patterns over data streams. York University Technical Report.

Mehdi Kargar, Morteza Zihayat, Aijun An (2013). Finding affordable and collaborative teams from a network of experts. SIAM Data Mining.

Mehdi Kargar, Morteza Zihayat, Aijun An (2013). Affordable and collaborative team formation in an expert network. York University Technical Report.

Mehdi Kargar, Aijun An, Morteza Zihayat (2012). Efficient bi-objective team formation in social networks. ECML PKDD.