Preprints:
H. Zou, C. Zhang, Y. Yang, Y. Tian, S. Lasaulce, and M. Debbah, “FedFit: Federated Fine-Tuning of LLMs via Vector-Bank Parameterization and Quantization”, (Major Revision) IEEE Journal on Selected Areas in Communications, 2026.
H. Zou, Y. Tian, B. Wang, L. Bariah, C. Huang, S. Lasaulce, and M. Debbah, “RF-GPT: Teaching AI to See the Wireless World”, (Under Review) IEEE Transactions on Wireless Communications, 2026.
Y. Yang, L. Bariah, Y. Lu, H. Zou*, and M. Debbah, “SEM-RAG: Structure-Preserving Multimodal Graph Compilation and Entropy-Guided Retrieval for Telecommunication Standards”, (Major Revision) IEEE Transactions on Wireless Communications, 2026.
B. Mefgouda, A. Bara, L. Bariah, H. Zou, Y. Yang and M. Debbah, “LLM-Based Digital Twin Intelligence for Application-Aware Network Selection in 6G Heterogeneous Wireless Networks”, (Under Review) IEEE Journal on Selected Areas in Communications, 2026.
Y. Yang, B. Mefgouda, H. Zou, L. Bariah, A. Bara, Y. Lu, H. Zhang and M. Debbah, “A JEPA-Based Field-Layer World Model for Bridging Channel Prediction and Estimation”, (Under Review) IEEE Journal on Selected Areas in Communications, 2026.
Bohao Wang, Chenwei Wu, H. Zou*, Q. Zhao, Y. Tian, L. Bariah, L. Wei, C. Huang, Y. Shen, Z. Zhang and M. Debbah, “TelecomGPT-R1: Unified Post-Training for Reasoning Across Heterogeneous Telecom Tasks”, (Under Review) IEEE Journal on Selected Areas in Communications, 2026.
H. Zou, C. Zhang, Malcolm Egan and M. Debbah, “Finite Blocklength Multiple Description Coding with Heterogeneous Task-Oriented Distortion Functions”, (Submitted to) IEEE Transactions on Machine Learning in Communications and Networking, 2026.
H. Zou, C. Zhang, S. Lasaulce, A. I. Maass, D. Nešić, and M. Debbah, “Goal-Oriented Sampling and Compression Rate Allocation for Dynamical Systems”, (Submitted to) IEEE Internet of Things Journal, 2026.
Journal Papers:
H. Zou, Q. Zhao, Y. Tian, S. Lasaulce, C. Zhang, L. Bariah, F. Bader, and M. Debbah, “Large Language Models in 6G from Standard to On-device Networks”, Nature Reviews Electrical Engineering, vol. 3, pp. 123–134, 2026. [PDF]
H. Zou, Q. Zhao, Y. Tian, L. Bariah, F. Bader, T. Lestable and M. Debbah, “TelecomGPT: A Framework to Build Telecom-Specific Large Language Models”, IEEE Transactions on Machine Learning in Communications and Networking, vol. 3, pp. 948–975, 2025. [PDF]
H. Zou, Q. Zhao, L. Bariah, Y. Tian, M. Bennis, S. Lasaulce and M. Debbah, “GenAINet: Enabling Wireless Collective Intelligence via Knowledge Transfer and Reasoning”, IEEE Access, 2025. [PDF]
Y. Sun, H. Zou*, C. Zhang, S. Lasaulce and M. Kieffer, “Goal-Oriented Compression for Lp-norm-type Goal Functions: Application to Power Consumption Scheduling”, Journal of the Franklin Institute, vol. 361, no. 10, p. 106926, 2024. [PDF]
H. Zou, C. Zhang, S. Lasaulce, L. Saludjian and V. Poor, “Goal-Oriented Quantization: Analysis, Design, and Application to Resource Allocation”, IEEE Journal on Selected Areas in Communications, vol. 41, no. 1, pp. 42–54, 2023. [PDF]
Co-authored Journals:
L. Bariah, T. Mongaillard, S. Lasaulce, W. Hamidouche, H. Zou, M. Debbah, “From Waves to Words: Large Perceptive Models as the Future of IoT and RF Intelligence”, IEEE Wireless Communications, vol. 33, no. 3, pp. 212–219, 2026. [PDF]
L. Wang, C. Zhang, Q. Zhao, H. Zou, S. Lasaulce, G. Valenzise, Z. He and M. Debbah, “Generative AI for RF Sensing in IoT Systems”, IEEE Internet of Things Magazine, vol. 8, no. 2, pp. 112–120, 2025. [PDF]
L. Bariah, Q. Zhao, H. Zou, Y. Tian, F. Bader and M. Debbah, “Large Generative AI Models for Telecom: The Next Big Thing?”, IEEE Communications Magazine, vol. 62, no. 11, pp. 84–90, 2024. [PDF]
C. Zhang, H. Zou, S. Lasaulce, W. Saad, M. Kountouris and M. Bennis, “Goal-Oriented Communications for the IoT and Application to Data Compression”, IEEE Internet of Things Magazine, vol. 5, no. 4, pp. 58–63, 2022. [PDF]
Book Chapters:
A. Mokh et al., “Datasets” and “Evaluation & Benchmarking of Large Telecom Models” in Large-Scale AI in Telecom: Charting the Roadmap for Innovation, Scalability, and Enhanced Digital Experiences, White Paper, IEEE GenAINet ETI, 2025.
Q. Zhao, H. Zou, M. Bennis and M. Debbah, “Semantic Communications” in Artificial Intelligence for Future Networks, Wiley, 2024.
Q. Zhao, H. Zou, Y. Tian, L. Bariah, B. Mouhouche, F. Bader, E. Almazrouei and M. Debbah, “Artificial Intelligence-Enabled Dynamic Spectrum Management” in Intelligent Spectrum Management: Towards 6G, Wiley, 2024.
Conference Papers:
X. Jiang, H. Zou*, R. Chen, W. Ke, J. Zhang, Y. Yang, M. Debbah, and Y. Lu, “AdaFQ-Spec: Quantization-Aware Self-Speculative Decoding with Feature Denoising”, (Under Review) The 41st Annual AAAI Conference on Artificial Intelligence, 2027.
H. Lu, C. Zhang, H. Zou, L. Wang, S. Lasaulce, L. Zhang, K. Guo, and M. Debbah, “CoPE: Correcting Propagated and Coupled Compression Errors for Post-Training LLM Pruning”, (Under Review) The 41st Annual AAAI Conference on Artificial Intelligence, 2027.
B. Wang, C. Wu, H. Li, H. Zou, Y. Tian, L. Bariah, L. Wei, C. Huang, Y. Shen, Z. Zhang, and M. Debbah, “TelecomGPT-R1: A Unified Open-Source Reasoner for the Telecom Stack”, (Best Paper Award) IEEE 20th International Symposium on Wireless Communication Systems (ISWCS’26), Gold Coast, Australia, 2026. [PDF]
H. Zou, B. Wang, Y. Tian, L. Bariah, C. Huang, S. Lasaulce, and M. Debbah, “Seeing Radio: From Zero RF Priors to Explainable Modulation Recognition with Vision Language Models”, IEEE International Conference on Communications (ICC’26), Glasgow, Scotland, UK, 2026.
Y. Lu, H. Zou, S. Lasaulce, and M. Debbah, “Power Control for 6G Industrial Wireless Sub-networks: An LLM-in-Loop Augmented Gradient Descent Approach”, IEEE International Conference on Machine Learning for Communication and Networking (ICMLCN’26), Abu Dhabi, UAE, 2026.
B. B. Ziada, T. Mongaillard, H. Zou, S. Lasaulce, A. Girardin, V. S. Varma and M. Debbah, “Augmented-GDA: LLM In-Loop Gradient Descent Algorithm for Smooth Unconstrained Optimization”, IEEE Third International Conference on Foundation and Large Language Models (FLLM), Vienna, Austria, 2025.
T. Mongaillard, S. Lasaulce, O. Hicheur, C. Zhang, L. Bariah, V. S. Varma, H. Zou, Q. Zhao and M. Debbah, “Large Language Models for Power Scheduling: A User-Centric Approach”, IEEE 22nd International Symposium on Modeling and Optimization in Mobile, Ad hoc, and Wireless Networks (WiOPT’24), Seoul, Korea, 2024. [PDF]
Q. Zhao, H. Zou, M. Bennis, M. Debbah, E. Almazrouei and F. Bader, “Joint Semantic-Native Communication and Inference via Minimal Simplicial Structures”, IEEE Global Communications Conference (GLOBECOM’23), Kuala Lumpur, Malaysia, 2023. [PDF]
L. Bariah, H. Zou, Q. Zhao, B. Mouhouche, F. Bader and M. Debbah, “Understanding Telecom Language Through Large Language Models”, IEEE Global Communications Conference (GLOBECOM’23), Kuala Lumpur, Malaysia, 2023. [PDF]
H. Zou, Y. Sun, C. Zhang, S. Lasaulce, M. Kieffer and L. Saludjian, “Goal-Oriented Quantization: Applications to Convex Cost Functions with Polyhedral Decision Space”, (Invited Paper) IEEE 20th International Symposium on Modeling and Optimization in Mobile, Ad hoc, and Wireless Networks (WiOPT’22), Turin, Italy, 2022. [PDF]
Y. Sun, H. Zou, S. Lasaulce, C. Zhang and M. Kieffer, “Goal-Oriented Data Compression: Application to an Lp-norm Type Performance Metric”, 28ème Colloque Francophone de Traitement du Signal et des Images (GRESTI’22), Nancy, France, 2022. [PDF]
C. Zhang, H. Zou, S. Lasaulce, Vineeth S. Varma, L. Saludjian and P. Panciatici, “Optimal Pricing Approach Based on Expected Utility Maximization with Partial Information”, 2021 International Conference on Network Games, Control and Optimization (NETGCOOP’21), Corsica, France, 2021. [PDF]
Y. Sun, H. Zou, S. Lasaulce, M. Kieffer and L. Saludjian, “A New Approach of Data Pre-processing for Data Compression in Smart Grids”, (Invited Paper) IEEE 7th International Conference on Wireless Networks and Mobile Communications (WINCOM’19), Fez, Morocco, 2019. [PDF]
H. Zou, C. Zhang, S. Lasaulce, L. Saludjian and P. Panciatici, “Une méthode de détermination d’un ensemble optimal de décision: Application aux communications efficaces énergétiquement”, 27ème Colloque Francophone de Traitement du Signal et des Images (GRESTI’19), Lille, France, 2019.
H. Zou, C. Zhang, S. Lasaulce, L. Saludjian and P. Panciatici, “Energy-Efficient MIMO Multiuser Systems: Nash Equilibrium Analysis”, International Symposium on Ubiquitous Networking (UNET’19), Limoges, France, 2019. [PDF]
H. Zou, C. Zhang, S. Lasaulce, L. Saludjian and P. Panciatici, “Decision Set Optimization and Energy-Efficient MIMO Communications”, IEEE 30th International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC’19), Istanbul, Turkey, 2019. [PDF]
H. Zou, Y. Nait-Belaid and M. Kieffer, “Optimal Opponent Selection for Distributed Multi-Agent Self-Classification”, IEEE Global Communications Conference (GLOBECOM’18), Abu Dhabi, UAE, 2018. [PDF]
H. Zou, C. Zhang, S. Lasaulce, L. Saludjian and P. Panciatici, “Decision-Oriented Communications: Application to Energy-Efficient Resource Allocation”, (Invited Paper) IEEE 6th International Conference on Wireless Networks and Mobile Communications (WINCOM’18), Marrakesh, Morocco, 2018. [PDF]
H. Zou, C. Zhang, S. Lasaulce, L. Saludjian and P. Panciatici, “Task Oriented Channel State Information Quantization”, IEEE 29th Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC’18), Bologna, Italy, 2018. [PDF]