Journal Articles
Mudi, CKH,
Liu, X, Lambotharan, S, Rahulamathavan, Y (2024)
Enhancing federated learning convergence with dynamic data queue and data entropy-driven participant selection,
IEEE Internet of Things, ISSN: 2327-4662. DOI:
10.1109/JIOT.2024.3491034.
Zheng, J,
Liu, X, Ling, Z, Hu, F (2024)
AoU-based local update and user scheduling for semi-asynchronous online federated learning in wireless networks,
IEEE Internet of Things Journal, pp.1-1, ISSN: 2327-4662. DOI:
10.1109/jiot.2024.3399404.
Aristodemou, M,
Liu, X, Lambotharan, S, AsSadhan, B (2023)
Bayesian optimization-driven adversarial poisoning attacks against distributed learning,
IEEE Access, 11, pp.86214-86226, DOI:
10.1109/ACCESS.2023.3304541.
Liu, X and Liu, Y (2023)
Distributed Learning for Metaverse over Wireless Networks,
IEEE Communications Magazine, 61(9), pp.40-46, ISSN: 0163-6804. DOI:
10.1109/MCOM.002.2200632.
Liu, X, Yu, J, Liu, Y, Gao, Y, Mahmoodi, T, Lambotharan, S, Tsang, DH-K (2023)
Distributed intelligence in wireless networks,
IEEE Open Journal of the Communications Society, 4, pp.1001-1039, DOI:
10.1109/OJCOMS.2023.3265425.
Yu, J, Li, Y,
Liu, X, Sun, B, Wu, Y, Tsang, DHK (2022)
IRS assisted NOMA aided mobile edge computing with queue stability: Heterogeneous multi-agent reinforcement learning,
IEEE Transactions on Wireless Communications, 22(7), pp.4296-4312, ISSN: 1536-1276. DOI:
10.1109/twc.2022.3224291.
Liu, X, Deng, Y, Mahmoodi, T (2022)
Wireless distributed learning: a new hybrid split and federated learning approach,
IEEE Transactions on Wireless Communications, 22(4), pp.2650-2665, ISSN: 1536-1276. DOI:
10.1109/twc.2022.3213411.
Yu, J,
Liu, X, Gao, Y, Zhang, C, Zhang, W (2022)
Deep learning for channel tracking in IRS-assisted UAV communication systems,
IEEE Transactions on Wireless Communications, 21(9), pp.7711-7722, ISSN: 1536-1276. DOI:
10.1109/twc.2022.3160517.
Yu, J,
Liu, X, Gao, Y, Shen, X (2021)
3D on and off-grid dynamic channel tracking for multiple UAVs and satellite communications,
IEEE Transactions on Wireless Communications, 21(6), pp.3587-3604, ISSN: 1536-1276. DOI:
10.1109/twc.2021.3121301.
Yu, J,
Liu, X, Qi, H, Gao, Y (2020)
Long-Term Channel Statistic Estimation for Highly-Mobile Hybrid MmWave Multi-User MIMO Systems,
IEEE Transactions on Vehicular Technology, 69(12), pp.14277-14289, ISSN: 0018-9545. DOI:
10.1109/tvt.2020.3040794.
Yu, J,
Liu, X, Gao, Y, Shen, X (2020)
3D Channel Tracking for UAV-Satellite Communications in Space-Air-Ground Integrated Networks,
IEEE Journal on Selected Areas in Communications, 38(12), pp.2810-2823, ISSN: 0733-8716. DOI:
10.1109/jsac.2020.3005490.
Liu, X, Yu, J, Feng, Z, Gao, Y (2020)
Multi-agent reinforcement learning for resource allocation in IoT networks with edge computing,
China Communications, 17(9), pp.220-236, ISSN: 1673-5447. DOI:
10.23919/jcc.2020.09.017.
Mao, Z, Hu, F, Sun, D, Ma, S,
Liu, X (2020)
Fairness-Aware Intragroup Cooperative Transmission in Wireless Powered Communication Networks,
IEEE Transactions on Vehicular Technology, 69(6), pp.6463-6472, ISSN: 0018-9545. DOI:
10.1109/tvt.2020.2988084.
Liu, X, Yu, J, Wang, J, Gao, Y (2020)
Resource Allocation With Edge Computing in IoT Networks via Machine Learning,
IEEE Internet of Things Journal, 7(4), pp.3415-3426, DOI:
10.1109/jiot.2020.2970110.
Liu, X, Qin, Z, Gao, Y, McCann, JA (2019)
Resource Allocation in Wireless Powered IoT Networks,
IEEE Internet of Things Journal, 6(3), pp.4935-4945, DOI:
10.1109/jiot.2019.2895417.
Liu, X, Gao, Y, Hu, F (2019)
Optimal Time Scheduling Scheme for Wireless Powered Ambient Backscatter Communications in IoT Networks,
IEEE Internet of Things Journal, 6(2), pp.2264-2272, DOI:
10.1109/jiot.2018.2889700.
Conferences
Liu, X, Ross, J, Liu, Y, Liu, Y (2023)
Asynchronous personalized learning for heterogeneous wireless networks. In
IEEE Workshop on Signal Processing Advances in Wireless Communications, SPAWC, Shanghai, pp.81-85, ISBN: 9781665496261. DOI:
10.1109/SPAWC53906.2023.10304529.
Aristodemou, M, Liu, X, Lambotharan, S (Accepted for publication) Adversarial Poisoning Attacks against Federated Learning in Metaverse. In IEEE International Conference on Communications (ICC) 2023, Rome.
Herath, C, Rahulamathavan, Y,
Liu, X (2023)
Recursive Euclidean Distance-based Robust Aggregation Technique for Federated Learning. In
, 2023 IEEE IAS Global Conference on Emerging Technologies, GlobConET 2023. DOI:
10.1109/GlobConET56651.2023.10150168.
Liu, X (2023) AoU-based Local Update and Device Scheduling for Asyn-Federated Learning in Wireless UAV Networks. In
2022 IEEE Globecom Workshops (GC Wkshps), Rio de Janeiro, Brazil.
Liu, X, Deng, Y, Mahmoodi, T, IEEE, (2022)
Energy Efficient User Scheduling for Hybrid Split and Federated Learning in Wireless UAV Networks. In
, IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS (ICC 2022). DOI:
10.1109/ICC45855.2022.9882277.
Liu, X, Deng, Y, Mahmoodi, T, IEEE, (2022)
A Novel Hybrid Split and Federated Learning Architecture in Wireless UAV Networks. In
, IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS (ICC 2022). DOI:
10.1109/ICC45855.2022.9838867.
