Virtual resource mapping in inter-cell interference-constrained ultra-dense networks. - Hui Zhang 034; Zhikun Wang; Yangbo Liu; Haitao Zhao 004; Yanfei Sun; Hongbo Zhu 002 (IET Commun., 2021)

On a Novel Content Edge Caching Approach based on Multi-Agent Federated Reinforcement Learning in Internet of Vehicles. - Yangbo Liu; Bomin Mao (WOCC, 2023)

Efficient model predictive current control for the grid-connected quasi-Z-source T-type inverter. - Qinghua Liu; Longyun Kang; Xinwei Duan; Yangbo Liu; Zhi Zhang (IEICE Electron. Express, 2023)

AI-Assisted Edge Caching for Metaverse of Connected and Automated Vehicles: Proposal, Challenges, and Future Perspectives. - Bomin Mao; Yangbo Liu; Jiajia Liu 001; Nei Kato (IEEE Veh. Technol. Mag., 2023)

An Intelligent Hierarchical Caching and Asynchronous Updating Scheme for 6G Non-Terrestrial Networks. - Yangbo Liu; Bomin Mao; Hongzhi Guo; Jiajia Liu 001 (WCNC, 2024)

On a Hierarchical Content Caching and Asynchronous Updating Scheme for Non-Terrestrial Network-Assisted Connected Automated Vehicles. - Bomin Mao; Yangbo Liu; Hongzhi Guo; Yijie Xun; Jiadai Wang; Jiajia Liu 001; Nei Kato (IEEE J. Sel. Areas Commun., 2025)

A Blockchain-Enabled Cold Start Aggregation Scheme for Federated Reinforcement Learning-Based Task Offloading in Zero Trust LEO Satellite Networks. - Bomin Mao; Yangbo Liu; Zixiang Wei; Hongzhi Guo; Yijie Xun; Jiadai Wang; Jiajia Liu 001; Nei Kato (IEEE J. Sel. Areas Commun., 2025)