no code implementations • 26 Feb 2024 • Hang Zou, Qiyang Zhao, Lina Bariah, Yu Tian, Mehdi Bennis, Samson Lasaulce, Merouane Debbah, Faouzi Bader
Connecting GenAI agents over a wireless network can potentially unleash the power of collective intelligence and pave the way for artificial general intelligence (AGI).
1 code implementation • 21 Sep 2023 • Yu Tian, Qiyang Zhao, Zine el abidine Kherroubi, Fouzi Boukhalfa, Kebin Wu, Faouzi Bader
Wireless communications at high-frequency bands with large antenna arrays face challenges in beam management, which can potentially be improved by multimodality sensing information from cameras, LiDAR, radar, and GPS.
no code implementations • 31 Aug 2023 • Qiyang Zhao, Hang Zou, Mehdi Bennis, Merouane Debbah, Ebtesam Almazrouei, Faouzi Bader
Specifically, the teacher first maps its data into a k-order simplicial complex and learns its high-order correlations.
no code implementations • 17 Jun 2023 • Lina Bariah, Qiyang Zhao, Hang Zou, Yu Tian, Faouzi Bader, Merouane Debbah
To be specific, large GenAI models are envisioned to open up a new era of autonomous wireless networks, in which multi-modal GenAI models trained over various Telecom data, can be fine-tuned to perform several downstream tasks, eliminating the need for building and training dedicated AI models for each specific task and paving the way for the realization of artificial general intelligence (AGI)-empowered wireless networks.
no code implementations • 9 Jun 2023 • Lina Bariah, Hang Zou, Qiyang Zhao, Belkacem Mouhouche, Faouzi Bader, Merouane Debbah
In particular, we fine-tune several LLMs including BERT, distilled BERT, RoBERTa and GPT-2, to the Telecom domain languages, and demonstrate a use case for identifying the 3rd Generation Partnership Project (3GPP) standard working groups.
no code implementations • 30 Oct 2022 • Qiyang Zhao, Mehdi Bennis, Merouane Debbah, Daniel Benevides da Costa
In this paper, we study semantic communication from a topological space perspective, in which higher-order data semantics live in a simplicial complex.
no code implementations • 19 Sep 2018 • Xiaofei Wang, Yiwen Han, Chenyang Wang, Qiyang Zhao, Xu Chen, Min Chen
In order to bring more intelligence to the edge systems, compared to traditional optimization methodology, and driven by the current deep learning techniques, we propose to integrate the Deep Reinforcement Learning techniques and Federated Learning framework with the mobile edge systems, for optimizing the mobile edge computing, caching and communication.
no code implementations • 5 Jun 2016 • Qiyang Zhao, Lewis D. Griffin
The paper focuses on utilizing the FCNN-based dense semantic predictions in the bottom-up image segmentation, arguing to take semantic cues into account from the very beginning.
no code implementations • 16 Mar 2016 • Qiyang Zhao, Lewis D. Griffin
These units suppress signals of exceptional magnitude.