High-Order CPD Estimation with Dimensionality Reduction Using a Tensor Train Model. - Yassine Zniyed; Rémy Boyer; André L. F. de Almeida; Gérard Favier (EUSIPCO, 2018)

Breaking the Curse of Dimensionality for Coupled Matrix-Tensor Factorization. - Abdelhak Boudehane; Yassine Zniyed; Arthur Tenenhaus; Laurent Le Brusquet; Rémy Boyer (CAMSAP, 2019)

Uniqueness of Tensor Train Decomposition with Linear Dependencies. - Yassine Zniyed; Sebastian Miron; Rémy Boyer; David Brie (CAMSAP, 2019)

Tensor-Train Modeling for Mimo-OFDM Tensor Coding-and-Forwarding Relay Systems. - Yassine Zniyed; Rémy Boyer; André L. F. de Almeida; Gérard Favier (EUSIPCO, 2019)

Multidimensional harmonic retrieval based on Vandermonde tensor train. - Yassine Zniyed; Rémy Boyer; André L. F. de Almeida; Gérard Favier (Signal Process., 2019)

Breaking the curse of dimensionality based on tensor train : models and algorithms. (Gérer le fleau de la dimension à l'aide des trains de tenseurs : modèles et algorithmes). - Yassine Zniyed (2019)

Dictionary-Based Tensor-Train Sparse Coding. - Abdelhak Boudehane; Yassine Zniyed; Arthur Tenenhaus; Laurent Le Brusquet; Rémy Boyer (EUSIPCO, 2020)

Tensor methods for multisensor signal processing. - Sebastian Miron; Yassine Zniyed; Rémy Boyer; André Lima Férrer de Almeida; Gérard Favier; David Brie; Pierre Comon (IET Signal Process., 2020)

A TT-Based Hierarchical Framework for Decomposing High-Order Tensors. - Yassine Zniyed; Rémy Boyer; André L. F. de Almeida; Gérard Favier (SIAM J. Sci. Comput., 2020)

Tensor train representation of MIMO channels using the JIRAFE method. - Yassine Zniyed; Rémy Boyer; André L. F. de Almeida; Gérard Favier (Signal Process., 2020)

A tensor-based approach for training flexible neural networks. - Yassine Zniyed; Konstantin Usevich; Sebastian Miron; David Brie (ACSCC, 2021)

Tensor-based framework for training flexible neural networks. - Yassine Zniyed; Konstantin Usevich; Sebastian Miron; David Brie (CoRR, 2021)

Tensor-Based Two-Layer Decoupling of Multivariate Polynomial Maps. - Konstantin Usevich; Yassine Zniyed; Mariya Ishteva; Philippe Dreesen; André L. F. de Almeida (EUSIPCO, 2023)

Low-Rank Tensor Decompositions for Quaternion Multiway Arrays. - Osimone Imhogiemhe; Julien Flamant; Xavier Luciani; Yassine Zniyed; Sebastian Miron (ICASSP, 2023)

Tucker Decomposition Based on a Tensor Train of Coupled and Constrained CP Cores. - Maxence Giraud; Vincent Itier; Rémy Boyer; Yassine Zniyed; André L. F. de Almeida (IEEE Signal Process. Lett., 2023)

Hybrid Network Compression through Tensor Decompositions and Pruning. - Van Tien Pham; Yassine Zniyed; Thanh Phuong Nguyen 001 (EUSIPCO, 2024)

Multilinear analysis of quaternion arrays: theory and computation. - Julien Flamant; Xavier Luciani; Sebastian Miron; Yassine Zniyed (CoRR, 2024)

Efficient tensor decomposition-based filter pruning. - Van Tien Pham; Yassine Zniyed; Thanh Phuong Nguyen 001 (Neural Networks, 2024)

A stochastic algorithm for the ParaTuck decomposition. - Yassine Zniyed; André L. F. de Almeida (Digit. Signal Process., 2025)

Singular values-driven automated filter pruning. - Van Tien Pham; Yassine Zniyed; Thanh Phuong Nguyen 001 (Neural Networks, 2025)

Enhanced Network Compression Through Tensor Decompositions and Pruning. - Van Tien Pham; Yassine Zniyed; Thanh Phuong Nguyen 001 (IEEE Trans. Neural Networks Learn. Syst., 2025)

Tensor decompositions for signal processing: Theory, advances, and applications. - Neriman Tokcan; Shakir Showkat Sofi; Van Tien Pham; Clémence Prévost; Sofiane Kharbech; Baptiste Magnier; Thanh Phuong Nguyen 001; Yassine Zniyed; Lieven De Lathauwer (Signal Process., 2026)