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BIO
BIO
Hang Zou is a postdoctoral researcher under the supervision of Prof. Mérouane Debbah at Digital Future Institute (DFI) at Khalifa University. Before that, he was a researcher at AI Cross-Center Unit of Technology Innovation Institute (TII), Abu Dhabi, UAE from 2022 to 2025. He received a Ph.D. degree at Laboratoires des Signaux et Systèmes (L2S) with CentraleSupélec, Paris-Saclay University in 2022 under the supervision of Prof. Samson Lasaulce. He received his M.Sc. degree in Advanced Wireless Communication System from CentraleSupélec/ University of Paris-Sud in 2018. Before that, he received his B.Sc. degree of Optical & Electronic Information from Huazhong University of Science & Technology, China and of Information, System and Technology from University of Paris-Sud, France in 2016. His main research interest is Semantic Communications, Goal-oriented Communications, Generative AI Model Compression and LLM-powered Telecom Applications.
Research Interests
Domain-Specific LLMs, Edge LLMs, LLM Compression and LLM for Optimization
Semantic Communications, Goal-oriented Communications.
NEWS
• [Aug 2026] TelecomGPT-R1 conference paper received the ISWCS 2026 Best Paper Award.
• [Jun 2026] We released TelecomGPT-R1, the leading open-source telecom-specific LLM on the GSMA Open Telco leaderboard.
• [May 2026] Invited to give talks on TelecomGPT and RF-GPT at South East University.
• [Apr 2026] RF-GPT was recognized by H.E. Noura Al Kaabi, Minister of State at the Ministry of Foreign Affairs, UAE.
• [Apr 2026] RF-GPT was featured by Emirates News Agency (WAM).
• [Apr 2026] Invited to give talks on TelecomGPT and RF-GPT at CUHK (Shenzhen) and Tsinghua University.
• [Apr 2026] Invited to give talks on TelecomGPT and RF-GPT at Zhejiang University, HUST, Great Bay University and Central South University.
• [Apr 2026] We proposed Telecom World Model, a new architecture of world model for Telecom.
• [Feb 2026] We announced RF-GPT, the first radio-frequency language model.
• [Jan 2026] “Large Language Models in 6G from Standard to On-device Networks” was published in Nature Reviews Electrical Engineering.
• [Jul 2025] TelecomGPT was published in Transactions on Machine Learning in Communications and Networking.
• [May 2025] We released Falcon-Edge, a series of powerful, universal, fine-tunable 1.58-bit edge LLMs.
• [Dec 2024] We released Falcon3 1.58bits, 1.58-bit-quantized version of Falcon 3 series.
• [Jul 2024] We announced TelecomGPT, the first telecom-specific LLM.
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