PRVNet: Variational Autoencoders for Massive MIMO CSI Feedback. - Mostafa Hussien; Kim Khoa Nguyen; Mohamed Cheriet (CoRR, 2020)

Optimized Transfer Learning: Application for Wireless Channel Selection. - Mohammad Askarizadeh; Mostafa Hussien; Masoumeh Zare; Kim Khoa Nguyen (CNSM, 2021)

Fault-Tolerant 1-bit Representation for Distributed Inference Tasks in Wireless IoT. - Mostafa Hussien; Kim Khoa Nguyen; Mohamed Cheriet (CNSM, 2021)

Optimized Transfer Learning For Wireless Channel Selection. - Mohammad Askarizadeh; Mostafa Hussien; Masoumeh Zare; Kim Khoa Nguyen (GLOBECOM, 2021)

Towards More Reliable Deep Learning-Based Link Adaptation for WiFi 6. - Mostafa Hussien; Mohammed F. A. Ahmed; Ghassan S. Dahman; Kim Khoa Nguyen; Mohamed Cheriet; Gwenael Poitau (ICC, 2021)

CAMS: Color-Aware Multi-Style Transfer. - Mahmoud Afifi; Abdullah Abuolaim; Mostafa Hussien; Marcus A. Brubaker; Michael S. Brown (CoRR, 2021)

Modeling and Optimizing Resource-Constrained Instance-Based Transfer Learning. - Mohammad Askarizadeh; Mostafa Hussien; Alireza Morsali; Kim Khoa Nguyen (GLOBECOM, 2022)

Efficient Neural Data Compression for Machine Type Communications via Knowledge Distillation. - Mostafa Hussien; Yi Tian Xu; Di Wu 044; Xue Liu 004; Gregory Dudek (GLOBECOM, 2022)

PRVNet: A Novel Partially-Regularized Variational Autoencoders for Massive MIMO CSI Feedback. - Mostafa Hussien; Kim Khoa Nguyen; Mohamed Cheriet (WCNC, 2022)

A Learning Framework for Bandwidth-Efficient Distributed Inference in Wireless IoT. - Mostafa Hussien; Kim Khoa Nguyen; Mohamed Cheriet (CoRR, 2022)

Self-Supervised Learning for CSI Compression in FDD Massive MIMO Systems. - Mostafa Hussien; Kim Khoa Nguyen; Mohamed Cheriet (IEEE Commun. Lett., 2022)

Carrier Frequency Offset Estimation in 5G NR: Introducing Gradient Boosting Machines. - Mostafa Hussien; Ahmed A. Abdelmoaty; Mahmoud Elsaadany; Mohammed F. A. Ahmed; Ghyslain Gagnon; Kim Khoa Nguyen; Mohamed Cheriet (IEEE Access, 2023)

Evolution of MAC Protocols in the Machine Learning Decade: A Comprehensive Survey. - Mostafa Hussien; Islam A. T. F. Taj-Eddin; Mohammed F. A. Ahmed; Ali Ranjha; Kim Khoa Nguyen; Mohamed Cheriet (CoRR, 2023)

Enabling Efficient Data Integration of Industry 5.0 Nodes Through Highly Accurate Neural CSI Feedback. - Mostafa Hussien; Kim Khoa Nguyen; Ali Ranjha; Moez Krichen; Abdulaziz Alshammari; Mohamed Cheriet (IEEE Trans. Consumer Electron., 2023)

Surrogate Data Source Transfer (SDST): An Efficient Transfer Learning Approach for Time Series Forecasting. - Mostafa Hussien; Mohamed Shoaib; Di Wu 044; Kim Khoa Nguyen; Mohamed Cheriet (ICC, 2024)

Temporal-correlation Modeling for Improved CFO Estimation: The BiModule CFO Estimation (BMCE) Framework. - Mostafa Hussien; Ahmed A. Abdelmoaty; Mahmoud Elsaadany; Mohammed F. A. Ahmed; Ghyslain Gagnon; Mohamed Cheriet (IWCMC, 2024)

Small Contributions, Small Networks: Efficient Neural Network Pruning Based on Relative Importance. - Mostafa Hussien; Mahmoud Afifi; Kim Khoa Nguyen; Mohamed Cheriet (CoRR, 2024)

Toward Facilitating Power Efficient URLLC Systems in UAV Networks Under Jittering. - Ali Ranjha; Muhammad Awais Javed; Md. Jalil Piran; Muhammad Asif 005; Mostafa Hussien; Sherali Zeadally; Jaroslav Frnda (IEEE Trans. Consumer Electron., 2024)

Flexible Automatic Identification and Removal (FAIR)-Pruner: An Efficient Neural Network Pruning Method. - Chenqing Lin; Mostafa Hussien; Chengyao Yu; Mohamed Cheriet; Osama Abdelrahman; Ruixing Ming (CoRR, 2025)