High-quality Trajectory Generation for Autonomous Driving: A Lightweight Federated Learning-based Diffusion Model. - Runquan Gao; Jiawen Kang 001; Bingkun Lai; Minrui Xu; Geng Sun 001; Tao Zhang 063; Weiting Zhang; Dong Yang 001 (GLOBECOM, 2024)

On-demand Quantization for Green Federated Generative Diffusion in Mobile Edge Networks. - Bingkun Lai; Jiayi He; Jiawen Kang 001; Gaolei Li; Minrui Xu; Tao Zhang 063; Shengli Xie (ICC, 2024)

Blockchain-Empowered Federated Learning for Healthcare Metaverses: User-Centric Incentive Mechanism With Optimal Data Freshness. - Jiawen Kang 001; Jinbo Wen; Dongdong Ye; Bingkun Lai; Tianhao Wu; Zehui Xiong; Jiangtian Nie; Dusit Niyato; Yang Zhang 025; Shengli Xie (IEEE Trans. Cogn. Commun. Netw., 2024)

Resource-Efficient Generative Mobile Edge Networks in 6G Era: Fundamentals, Framework and Case Study. - Bingkun Lai; Jinbo Wen; Jiawen Kang 001; Hongyang Du; Jiangtian Nie; Changyan Yi; Dong In Kim 001; Shengli Xie (IEEE Wirel. Commun., 2024)

Securing Federated Diffusion Model With Dynamic Quantization for Generative AI Services in Multiple-Access Artificial Intelligence of Things. - Jiayi He; Bingkun Lai; Jiawen Kang 001; Hongyang Du; Jiangtian Nie; Tao Zhang 063; Yanli Yuan; Weiting Zhang; Dusit Niyato; Abbas Jamalipour (IEEE Internet Things J., 2024)

Optimizing AIGC Services Using Learning-Based Stackelberg Game in Vehicular Metaverses. - Bingkun Lai; Xiaofeng Luo; Jiawen Kang 001; Xiaozheng Gao; Zuyuan Yang; Dusit Niyato; Shiwen Mao (IEEE Trans. Veh. Technol., 2025)