RSSI-Fading-Based Localization Approach in BLE5.0 Indoor Environments. - Bo Xu 020; Xiaorong Zhu; Hongbo Zhu 002 (WISATS (2), 2019)

An Efficient Indoor Localization Method Based on the Long Short-Term Memory Recurrent Neuron Network. - Bo Xu 020; Xiaorong Zhu; Hongbo Zhu 002 (IEEE Access, 2019)

Optimized Edge Aggregation for Hierarchical Federated Learning. - Bo Xu 020; Wenchao Xia; Wanli Wen; Haitao Zhao 004; Hongbo Zhu 002 (VTC Fall, 2021)

Dynamic Client Association for Energy-Aware Hierarchical Federated Learning. - Bo Xu 020; Wenchao Xia; Jun Zhang 023; Xinghua Sun; Hongbo Zhu 002 (WCNC, 2021)

Deep Reinforcement Learning for Task Offloading in Edge Computing Assisted Power IoT. - Jiangyi Hu; Yang Li; Gaofeng Zhao; Bo Xu 020; Yiyang Ni; Haitao Zhao 004 (IEEE Access, 2021)

Online Client Scheduling for Fast Federated Learning. - Bo Xu 020; Wenchao Xia; Jun Zhang 023; Tony Q. S. Quek; Hongbo Zhu 002 (IEEE Wirel. Commun. Lett., 2021)

Optimization of Clustering Strategy and Resource Allocation for Clustered Federated Learning. - Wenchao Xia; Bo Xu 020; Haitao Zhao 004; Yongxu Zhu; Xinghua Sun; Tony Q. S. Quek (GLOBECOM, 2022)

Adaptive Hierarchical Federated Learning Over Wireless Networks. - Bo Xu 020; Wenchao Xia; Wanli Wen; Pei Liu 004; Haitao Zhao 004; Hongbo Zhu 002 (IEEE Trans. Veh. Technol., 2022)

Privacy-Preserving Federated Learning Framework via Blockchain and Committee Mechanism. - Zixuan Shu; Haitao Zhao 004; Bo Xu 020; Wei Xun; Bangning Xu (ICCT, 2023)

Client Scheduling for Unreliable Semi-Decentralized Federated Learning. - Yuhao Tan; Haitao Zhao 004; Wenchao Xia; Qin Wang 002; Kun Guo 002; Bo Xu 020; Tony Q. S. Quek (ICCT, 2023)

Similarity-aware Contract Design for Multi-task Federated Learning in Vehicular Networks. - Bo Xu 020; Haitao Zhao 004; Haiguang Lai; Xiaozhen Lu (MSN, 2023)

Fishing Net Optimization: A Learning Scheme of Optimizing Multi-Lateration Stations in Air-Ground Vehicle Networks. - Haitao Zhao 004; Chunxi Zhao; Tianyu Zhang; Bo Xu 020; Jinlong Sun (IEEE Signal Process. Lett., 2024)

Edge aggregation placement for semi-decentralized federated learning in Industrial Internet of Things. - Bo Xu 020; Haitao Zhao 004; Haotong Cao; Sahil Garg; Georges Kaddoum; Mohammad Mehedi Hassan (Future Gener. Comput. Syst., 2024)

Clustered Federated Learning in Internet of Things: Convergence Analysis and Resource Optimization. - Bo Xu 020; Wenchao Xia; Haitao Zhao 004; Yongxu Zhu; Xinghua Sun; Tony Q. S. Quek (IEEE Internet Things J., 2024)

Long-Term Energy Management Empowered Hierarchical Federated Learning for Smart Consumer Electronics. - Bo Xu 020; Haitao Zhao 004; Haotong Cao; Sahil Garg; Mubarak Alrashoud (IEEE Trans. Consumer Electron., 2024)

Client Scheduling for Multiserver Federated Learning in Industrial IoT With Unreliable Communications. - Haitao Zhao 004; Yuhao Tan; Kun Guo 002; Wenchao Xia; Bo Xu 020; Tony Q. S. Quek (IEEE Internet Things J., 2024)

Joint Contract Design and Task Reorganization for Semi-Decentralized Federated Edge Learning in Vehicular Networks. - Bo Xu 020; Haitao Zhao 004; Haotong Cao; Xiaozhen Lu; Hongbo Zhu 002 (IEEE Trans. Veh. Technol., 2024)

Mobility-Aware Task Offloading in Industrial Fog Networks: A Submodular-Based MARL Approach. - Bo Xu 020; Haitao Zhao 004; Haotong Cao; Chun Zhu; Jinlong Sun; Linghao Zhang; Hongbo Zhu 002 (IEEE Internet Things J., 2025)

Learning Distributed Neural Network-Based Beam Codebooks on FPGAs: Adapting to Unevenly Distributed Users in mmWave Massive MIMO IoT System With Hardware Acceleration. - Zhiheng Chen; Pei Liu 004; Bo Xu 020; Yun Chen 006; Wen Zhan; Giovanni Interdonato; Stefano Buzzi (IEEE Internet Things J., 2025)

Clustering-Based Charger Deployment and Trajectory Optimization for UAV-Assisted Wireless Networks. - Shenhui Ge; Jinlong Sun; Haitao Zhao 004; Jihong Wang; Bo Xu 020 (IEEE Wirel. Commun. Lett., 2025)