| 2026 | COMPSAC | Toward Scalable Multi-Level and Dynamic Representation Learning for Multiplex Graphs. | Mohamed Bouguessa |
| 2026 | COMPSAC | Toward Trustworthy Survival Analysis Modeling. | Armand Bandiang Massoua, Mohamed Bouguessa, Abdoulaye Banir Diallo |
| 2025 | DSAA | Scalable Deep Subspace Clustering Network. | Nairouz Mrabah, Mohamed Bouguessa, Sihem Sami |
| 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 |
| 2024 | IJCNN | Towards Robust Time-to-Event Prediction: Integrating the Variational Information Bottleneck with Neural Survival Model. | Armand Bandiang Massoua, Abdoulaye Banir Diallo, Mohamed Bouguessa |
| 2024 | IJCNN | DfHM: A Hierarchical Approach for Matching Pairs of Images Using Graph Attention Neural Networks. | Mohamed Amine Ouali, Mohamed Bouguessa, Riadh Ksantini |
| 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 | COMPSAC | Modeling Time-Varying User Attitudes in Social Media. | Etienne Gael Tajeuna, Ahmed F. M. Fahmy, Mohamed Bouguessa |
| 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 | COMPSAC | A Longitudinal Study of Customer Electricity Load Profiles. | Etienne Gael Tajeuna, Mohamed Bouguessa, Shengrui Wang |
| 2022 | DSAA | Graph Attention Network for Camera Relocalization on Dynamic Scenes. | Mohamed Amine Ouali, Mohamed Bouguessa, Riadh Ksantini |
| 2022 | IJCAI | Escaping Feature Twist: A Variational Graph Auto-Encoder for Node Clustering. | Nairouz Mrabah, Mohamed Bouguessa, Riadh Ksantini |
| 2022 | IJCNN | Dynamic Cox-Regression for Motif Prediction in Co-Evolving Time Series Data. | Etienne Gael Tajeuna, Mohamed Bouguessa |
| 2020 | ICPR | Context Matters: Self-Attention for Sign Language Recognition. | Fares Ben Slimane, Mohamed Bouguessa |
| 2019 | ICSE | Sniffing Android code smells: an association rules mining-based approach. | Jehan Rubin, Adel Nassim Henniche, Naouel Moha, Mohamed Bouguessa, Nabila Bousbia |
| 2018 | ICDM | A Network-Based Approach to Enhance Electricity Load Forecasting. | Etienne Gael Tajeuna, Mohamed Bouguessa, Shengrui Wang |
| 2017 | DSAA | Identifying Anomalous Nodes in Multidimensional Networks. | Amani Chouchane, Mohamed Bouguessa |
| 2017 | DSAA | A Comparative Study of Different Approaches for Tracking Communities in Evolving Social Networks. | Ziwei He, Etienne Gael Tajeuna, Shengrui Wang, Mohamed Bouguessa |
| 2017 | SAC | Survival analysis for modeling critical events that communities may undergo in dynamic social networks. | Etienne Gael Tajeuna, Mohamed Bouguessa, Shengrui Wang |
| 2015 | DSAA | A model-based approach for identifying spammers in social networks. | Farnoosh Fathaliani, Mohamed Bouguessa |
| 2015 | DSAA | Tracking the evolution of community structures in time-evolving social networks. | Etienne Gael Tajeuna, Mohamed Bouguessa, Shengrui Wang |
| 2014 | ICTAI | A Novel Approach for Detecting Community Structure in Networks. | Mohamed Bouguessa, Rokia Missaoui, Mohamed Talbi |
| 2013 | AINA | Document Modeling Using Syntactic and Semantic Information. | Emilie Au, Mohamed Bouguessa, Shengrui Wang |
| 2012 | ADMA | Modeling Outlier Score Distributions. | Mohamed Bouguessa |
| 2012 | ICMLA | Unsupervised Anomaly Detection in Transactional Data. | Mohamed Bouguessa |
| 2012 | ICTAI | A Probabilistic Combination Approach to Improve Outlier Detection. | Mohamed Bouguessa |
| 2011 | ICTAI | An Unsupervised Approach for Identifying Spammers in Social Networks. | Mohamed Bouguessa |
| 2008 | KDD | Identifying authoritative actors in question-answering forums: the case of Yahoo! answers. | Mohamed Bouguessa, Benot Dumoulin, Shengrui Wang |
| 2007 | CIDM | PCGEN: A Practical Approach to Projected Clustering and its Application to Gene Expression Data. | Mohamed Bouguessa, Shengrui Wang |
| 2006 | ICPR | A K-means-based Algorithm for Projective Clustering. | Mohamed Bouguessa, Shengrui Wang, Qingshan Jiang |