Optimal Time Scheduling Scheme for Wireless Powered Ambient Backscatter Communication in IoT Network. - Xiaolan Liu 001; Yue Gao 001; Fengye Hu (CoRR, 2018)

Spatial Channel Covariance Estimation for Hybrid mmWave Multi-User MIMO Systems. - Jiadong Yu; Xiaolan Liu 001; Haoran Qi; Wei Zhang 001; Yue Gao 001 (GLOBECOM, 2019)

Resource Allocation for Edge Computing in IoT Networks via Reinforcement Learning. - Xiaolan Liu 001; Zhijin Qin; Yue Gao 001 (ICC, 2019)

Reinforcement Learning Approaches for IoT Networks with Energy Harvesting. - Xiaolan Liu 001; Yue Gao 001 (ICCC, 2019)

Optimal Time Scheduling Scheme for Wireless Powered Ambient Backscatter Communications in IoT Networks. - Xiaolan Liu 001; Yue Gao 001; Fengye Hu (IEEE Internet Things J., 2019)

Resource Allocation in Wireless Powered IoT Networks. - Xiaolan Liu 001; Zhijin Qin; Yue Gao 001; Julie A. McCann (IEEE Internet Things J., 2019)

Multi-agent Reinforcement Learning for Resource Allocation in IoT networks with Edge Computing. - Xiaolan Liu 001; Jiadong Yu; Yue Gao 001 (CoRR, 2020)

Resource Allocation With Edge Computing in IoT Networks via Machine Learning. - Xiaolan Liu 001; Jiadong Yu; Jian Wang 025; Yue Gao 001 (IEEE Internet Things J., 2020)

3D Channel Tracking for UAV-Satellite Communications in Space-Air-Ground Integrated Networks. - Jiadong Yu; Xiaolan Liu 001; Yue Gao 001; Xuemin Shen (IEEE J. Sel. Areas Commun., 2020)

Fairness-Aware Intragroup Cooperative Transmission in Wireless Powered Communication Networks. - Zhi Mao; Fengye Hu; Dayang Sun; Shaodan Ma; Xiaolan Liu 001 (IEEE Trans. Veh. Technol., 2020)

Long-Term Channel Statistic Estimation for Highly-Mobile Hybrid MmWave Multi-User MIMO Systems. - Jiadong Yu; Xiaolan Liu 001; Haoran Qi; Yue Gao 001 (IEEE Trans. Veh. Technol., 2020)

Learning to Predict the Mobility of Users in Mobile mmWave Networks. - Xiaolan Liu 001; Jiadong Yu; Haoran Qi; Jianxin Yang; Wenge Rong; Xiuyin Zhang; Yue Gao 001 (IEEE Wirel. Commun., 2020)

On-Grid 3D Dynamic Channel Tracking for Space-Air Communications with Multiple UAVs. - Jiadong Yu; Xiaolan Liu 001; Yue Gao 001 (ICCC, 2021)

A Novel Hybrid Split and Federated Learning Architecture in Wireless UAV Networks. - Xiaolan Liu 001; Yansha Deng; Toktam Mahmoodi (ICC, 2022)

3D On and Off-Grid Dynamic Channel Tracking for Multiple UAVs and Satellite Communications. - Jiadong Yu; Xiaolan Liu 001; Yue Gao 001; Xuemin Shen (IEEE Trans. Wirel. Commun., 2022)

Deep Learning for Channel Tracking in IRS-Assisted UAV Communication Systems. - Jiadong Yu; Xiaolan Liu 001; Yue Gao 001; Chiya Zhang; Wei Zhang 001 (IEEE Trans. Wirel. Commun., 2022)

Adversarial Poisoning Attacks on Federated Learning in Metaverse. - Marios Aristodemou; Xiaolan Liu 001; Sangarapillai Lambotharan (ICC, 2023)

Energy Efficient IRS Assisted NOMA Aided Mobile Edge Computing via Heterogeneous Multi-Agent Reinforcement Learning. - Jiadong Yu; Yang Li 049; Xiaolan Liu 001; Bo Sun 004; Yuan Wu 001; Danny H. K. Tsang (ICC, 2023)

Staged Reinforcement Learning for Complex Tasks Through Decomposed Environments. - Rafael Pina; Corentin Artaud; Xiaolan Liu 001; Varuna De Silva (ISPR (2), 2023)

Opportunistic Transmission of Distributed Learning Models in Mobile UAVs. - Jingxin Li; Xiaolan Liu 001; Toktam Mahmoodi (PIMRC, 2023)

Asynchronous Personalized Learning for Heterogeneous Wireless Networks. - Xiaolan Liu 001; Jackson Ross; Yue Liu 001; Yuanwei Liu (SPAWC, 2023)

Bayesian Optimization-Driven Adversarial Poisoning Attacks Against Distributed Learning. - Marios Aristodemou; Xiaolan Liu 001; Sangarapillai Lambotharan; Basil AsSadhan (IEEE Access, 2023)

Recursive Euclidean Distance Based Robust Aggregation Technique For Federated Learning. - Charuka Herath; Yogachandran Rahulamathavan; Xiaolan Liu 001 (CoRR, 2023)

FheFL: Fully Homomorphic Encryption Friendly Privacy-Preserving Federated Learning with Byzantine Users. - Yogachandran Rahulamathavan; Charuka Herath; Xiaolan Liu 001; Sangarapillai Lambotharan; Carsten Maple (CoRR, 2023)

Distributed Intelligence in Wireless Networks. - Xiaolan Liu 001; Jiadong Yu; Yuanwei Liu; Yue Gao 001; Toktam Mahmoodi; Sangarapillai Lambotharan; Danny Hin-Kwok Tsang (IEEE Open J. Commun. Soc., 2023)

Wireless Distributed Learning: A New Hybrid Split and Federated Learning Approach. - Xiaolan Liu 001; Yansha Deng; Toktam Mahmoodi (IEEE Trans. Wirel. Commun., 2023)

IRS Assisted NOMA Aided Mobile Edge Computing With Queue Stability: Heterogeneous Multi-Agent Reinforcement Learning. - Jiadong Yu; Yang Li 049; Xiaolan Liu 001; Bo Sun 004; Yuan Wu 001; Danny Hin-Kwok Tsang (IEEE Trans. Wirel. Commun., 2023)

Distributed Learning for Metaverse over Wireless Networks. - Xiaolan Liu 001; Yuanwei Liu (IEEE Commun. Mag., 2023)

Fully Independent Communication in Multi-Agent Reinforcement Learning. - Rafael Pina; Varuna De Silva; Corentin Artaud; Xiaolan Liu 001 (AAMAS, 2024)

Bayesian Optimisation-Driven Poisoning Attack Against Personalised Federated Learning in Metaverse. - Marios Aristodemou; Xiaolan Liu 001; Sangarapillai Lambotharan (ICC Workshops, 2024)

Federated Learning in Heterogeneous Wireless Networks With Adaptive Mixing Aggregation and Computation Reduction. - Jingxin Li; Xiaolan Liu 001; Toktam Mahmoodi (IEEE Open J. Commun. Soc., 2024)

AoU-Based Local Update and User Scheduling for Semi-Asynchronous Online Federated Learning in Wireless Networks. - Jianing Zheng; Xiaolan Liu 001; Zhuang Ling; Fengye Hu (IEEE Internet Things J., 2024)

Maximizing Uncertainty for Federated Learning via Bayesian Optimization-Based Model Poisoning. - Marios Aristodemou; Xiaolan Liu 001; Yuan Wang 008; Konstantinos G. Kyriakopoulos; Sangarapillai Lambotharan; Qingsong Wei (IEEE Trans. Inf. Forensics Secur., 2025)

Maximizing Uncertainty for Federated learning via Bayesian Optimisation-based Model Poisoning. - Marios Aristodemou; Xiaolan Liu 001; Yuan Wang 008; Konstantinos G. Kyriakopoulos; Sangarapillai Lambotharan; Qingsong Wei (CoRR, 2025)

Enhancing Federated Learning Convergence With Dynamic Data Queue and Data-Entropy-Driven Participant Selection. - Charuka Herath; Xiaolan Liu 001; Sangarapillai Lambotharan; Yogachandran Rahulamathavan (IEEE Internet Things J., 2025)

A General Sensing-Assisted Channel Estimation Framework in Distributed MIMO Network. - Hui Zhou 009; Xiaolan Liu 001; Sangarapillai Lambotharan (IEEE Wirel. Commun. Lett., 2025)