Mahdis Saeedi

According to our database, Mahdis Saeedi authored at least 7 papers between 2024 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2025

A Survey of Subgraph Optimization for Expert Team Formation.

Mahdis Saeedi, Hawre Hosseini, Christine Wong, Hossein Fani

ACM Comput. Surv., December, 2025

Bridging Historical Subgraph Optimization and Modern Graph Neural Network Approaches in Team Recommendation.

Mahdis Saeedi, Christine Wong, Hossein Fani

Proceedings of the Eighteenth ACM International Conference on Web Search and Data Mining, 2025

2024

Vector Representation Learning of Skills for Collaborative Team Recommendation: A Comparative Study.

Md Jamil Ahmed, Mahdis Saeedi, Hossein Fani

Proceedings of the Web Information Systems Engineering - WISE 2024, 2024

Collaborative Team Recommendation for Skilled Users: Objectives, Techniques, and New Perspectives.

Mahdis Saeedi, Christine Wong, Hossein Fani

Proceedings of the Adjunct Proceedings of the 32nd ACM Conference on User Modeling, 2024

Paradigm Shifts in Team Recommendation: From Historical Subgraph Optimization to Emerging Graph Neural Network.

Mahdis Saeedi, Christine Wong, Hossein Fani

Proceedings of the 2024 Annual International ACM SIGIR Conference on Research and Development in Information Retrieval in the Asia Pacific Region, 2024

A Streaming Approach to Neural Team Formation Training.

Hossein Fani, Reza Barzegar, Arman Dashti, Mahdis Saeedi

Proceedings of the Advances in Information Retrieval, 2024

[inline-graphic not available: see fulltext] : Mitigating Gender Bias in Neural Team Recommendation via Female-Advocate Loss Regularization.

Roonak Moasses, Delaram Rajaei, Hamed Loghmani, Mahdis Saeedi, Hossein Fani

Proceedings of the Advances in Bias and Fairness in Information Retrieval, 2024