| 2026 | WACV | Low-Rank Expert Merging for Multi-Source Domain Adaptation in Person Re-Identification. | Taha Mustapha Nehdi, Nairouz Mrabah, Atif Belal, Marco Pedersoli, Eric Granger |
| 2025 | DSAA | Scalable Deep Subspace Clustering Network. | Nairouz Mrabah, Mohamed Bouguessa, Sihem Sami |
| 2025 | ICCV | Sparsity Outperforms Low-Rank Projections in Few-Shot Adaptation. | Nairouz Mrabah, Nicolas Richet, Ismail Ben Ayed, Eric Granger |
| 2025 | ICDM | Smooth Transitions in Graph Self-Supervision: Mitigating Feature Twist Across Abstraction Levels. | Mohamed Bouguessa, Nairouz Mrabah, Youssef Amdouni |
| 2024 | CIKM | A Geometric Perspective for High-Dimensional Multiplex Graphs. | Kamel Abdous, Nairouz Mrabah, Mohamed Bouguessa |
| 2023 | AAAI | Exploring the Interaction between Local and Global Latent Configurations for Clustering Single-Cell RNA-Seq: A Unified Perspective. | Nairouz Mrabah, Mohamed Mahmoud Amar, Mohamed Bouguessa, Abdoulaye Banir Diallo |
| 2023 | ICDE | Adversarial Deep Embedded Clustering: On a better trade-off between Feature Randomness and Feature Drift (Extended abstract). | Nairouz Mrabah, Mohamed Bouguessa, Riadh Ksantini |
| 2023 | ICDE | Rethinking Graph Auto-Encoder Models for Attributed Graph Clustering (Extended abstract). | Nairouz Mrabah, Mohamed Bouguessa, Mohamed Fawzi Touati, Riadh Ksantini |
| 2023 | IJCAI | Toward Convex Manifolds: A Geometric Perspective for Deep Graph Clustering of Single-cell RNA-seq Data. | Nairouz Mrabah, Mohamed Mahmoud Amar, Mohamed Bouguessa, Abdoulaye Banir Diallo |
| 2023 | SDM | Beyond The Evidence Lower Bound: Dual Variational Graph Auto-Encoders For Node Clustering. | Nairouz Mrabah, Mohamed Bouguessa, Riadh Ksantini |
| 2022 | IJCAI | Escaping Feature Twist: A Variational Graph Auto-Encoder for Node Clustering. | Nairouz Mrabah, Mohamed Bouguessa, Riadh Ksantini |