| 2024 | EACL | More Discriminative Sentence Embeddings via Semantic Graph Smoothing. | Chakib Fettal, Lazhar Labiod, Mohamed Nadif |
| 2024 | WSDM | WSDM 2024 Workshop on Representation Learning & Clustering. | Lazhar Labiod, Mohamed Nadif, Aghiles Salah |
| 2023 | AAAI | Scalable Attributed-Graph Subspace Clustering. | Chakib Fettal, Lazhar Labiod, Mohamed Nadif |
| 2023 | WSDM | Simultaneous Linear Multi-view Attributed Graph Representation Learning and Clustering. | Chakib Fettal, Lazhar Labiod, Mohamed Nadif |
| 2022 | CIKM | Subspace Co-clustering with Two-Way Graph Convolution. | Chakib Fettal, Lazhar Labiod, Mohamed Nadif |
| 2022 | WSDM | Efficient Graph Convolution for Joint Node Representation Learning and Clustering. | Chakib Fettal, Lazhar Labiod, Mohamed Nadif |
| 2021 | SIGIR | Regularized Dual-PPMI Co-clustering for Text Data. | Sverine Affeldt, Lazhar Labiod, Mohamed Nadif |
| 2020 | CIKM | Ensemble Block Co-clustering: A Unified Framework for Text Data. | Sverine Affeldt, Lazhar Labiod, Mohamed Nadif |
| 2019 | PAKDD | Co-clustering from Tensor Data. | Rafika Boutalbi, Lazhar Labiod, Mohamed Nadif |
| 2019 | SIGIR | Sparse Tensor Co-clustering as a Tool for Document Categorization. | Rafika Boutalbi, Lazhar Labiod, Mohamed Nadif |
| 2017 | PAKDD | Denoising Autoencoder as an Effective Dimensionality Reduction and Clustering of Text Data. | Milad Leyli-Abadi, Lazhar Labiod, Mohamed Nadif |
| 2016 | CIKM | SemiNMF-PCA framework for Sparse Data Co-clustering. | Kais Allab, Lazhar Labiod, Mohamed Nadif |
| 2016 | IDA | Bi-stochastic Matrix Approximation Framework for Data Co-clustering. | Lazhar Labiod, Mohamed Nadif |
| 2016 | SDM | Power Simultaneous Spectral Data Embedding and Clustering. | Kais Allab, Lazhar Labiod, Mohamed Nadif |
| 2015 | ICDM | Simultaneous Semi-NMF and PCA for Clustering. | Kais Allab, Lazhar Labiod, Mohamed Nadif |
| 2015 | ICONIP | Multi-Manifold Matrix Tri-Factorization for Text Data Clustering. | Kais Allab, Lazhar Labiod, Mohamed Nadif |
| 2015 | ICONIP | Spectral Clustering Trough Topological Learning for Large Datasets. | Nicoleta Rogovschi, Nistor Grozavu, Lazhar Labiod |
| 2013 | IJCNN | A topographical nonnegative matrix factorization algorithm. | Nicoleta Rogovschi, Lazhar Labiod, Mohamed Nadif |
| 2012 | IJCNN | Feature space transformation for transfer learning. | Nistor Grozavu, Youns Bennani, Lazhar Labiod |
| 2012 | IJCNN | A spectral algorithm for topographical Co-clustering. | Nicoleta Rogovschi, Lazhar Labiod, Mohamed Nadif |
| 2011 | ESANN | A Spectral Based Clustering Algorithm for Categorical Data with Maximum Modularity. | Lazhar Labiod, Youns Bennani |
| 2011 | ICDM | Co-clustering for Binary and Categorical Data with Maximum Modularity. | Lazhar Labiod, Mohamed Nadif |
| 2011 | ICONIP | Co-clustering for Binary Data with Maximum Modularity. | Lazhar Labiod, Mohamed Nadif |
| 2011 | ICONIP | Co-clustering under Nonnegative Matrix Tri-Factorization. | Lazhar Labiod, Mohamed Nadif |
| 2010 | ICMLA | Autonomous Clustering Characterization for Categorical Data. | Nistor Grozavu, Lazhar Labiod, Youns Bennani |
| 2010 | ICONIP | Clustering Categorical Data Using an Extended Modularity Measure. | Lazhar Labiod, Nistor Grozavu, Youns Bennani |
| 2010 | IJCNN | Relational topological clustering. | Lazhar Labiod, Nistor Grozavu, Youns Bennani |