Xiaolan Liu - RankMe

45 papers A 1B 2C 2Journal 32Unranked 8

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Scheduling and Fusion for Multimodal Federated Learning in Energy-Constrained Wireless Networks. IEEE Trans. Mob. Comput. Jianing Zheng, Jiadong Yu, Xiaolan Liu
2025	J	`jnl`	A General Sensing-Assisted Channel Estimation Framework in Distributed MIMO Network. IEEE Wirel. Commun. Lett. Hui Zhou, Xiaolan Liu, Sangarapillai Lambotharan
2025	—	`conf`	Dynamic RAN Network Slicing Optimization via Hierarchical Reinforcement Learning. CommNet Jietao Zhao, Xiaolan Liu, Sangarapillai Lambotharan
2025	J	`jnl`	Enhancing Federated Learning Convergence With Dynamic Data Queue and Data-Entropy-Driven Participant Selection. IEEE Internet Things J. Charuka Herath, Xiaolan Liu, Sangarapillai Lambotharan, Yogachandran Rahulamathavan
2025	J	`jnl`	Maximizing Uncertainty for Federated Learning via Bayesian Optimization-Based Model Poisoning. IEEE Trans. Inf. Forensics Secur. Marios Aristodemou, Xiaolan Liu, Yuan Wang, Konstantinos G. Kyriakopoulos, Sangarapillai Lambotharan, Qingsong Wei
2025	J	`jnl`	Maximizing Uncertainty for Federated learning via Bayesian Optimisation-based Model Poisoning. CoRR Marios Aristodemou, Xiaolan Liu, Yuan Wang, Konstantinos G. Kyriakopoulos, Sangarapillai Lambotharan, Qingsong Wei
2024	J	`jnl`	AoU-Based Local Update and User Scheduling for Semi-Asynchronous Online Federated Learning in Wireless Networks. IEEE Internet Things J. Jianing Zheng, Xiaolan Liu, Zhuang Ling, Fengye Hu
2024	—	`conf`	Bayesian Optimisation-Driven Poisoning Attack Against Personalised Federated Learning in Metaverse. ICC Workshops Marios Aristodemou, Xiaolan Liu, Sangarapillai Lambotharan
2024	J	`jnl`	Enhancing Federated Learning Convergence with Dynamic Data Queue and Data Entropy-driven Participant Selection. CoRR Charuka Herath, Xiaolan Liu, Sangarapillai Lambotharan, Yogachandran Rahulamathavan
2024	J	`jnl`	Federated Learning in Heterogeneous Wireless Networks With Adaptive Mixing Aggregation and Computation Reduction. IEEE Open J. Commun. Soc. Jingxin Li, Xiaolan Liu, Toktam Mahmoodi
2024	A	`conf`	Fully Independent Communication in Multi-Agent Reinforcement Learning. AAMAS Rafael Pina, Varuna De Silva, Corentin Artaud, Xiaolan Liu
2024	J	`jnl`	Fully Independent Communication in Multi-Agent Reinforcement Learning. CoRR Rafael Pina, Varuna De Silva, Corentin Artaud, Xiaolan Liu
2023	—	`conf`	Adversarial Poisoning Attacks on Federated Learning in Metaverse. ICC Marios Aristodemou, Xiaolan Liu, Sangarapillai Lambotharan
2023	—	`conf`	Asynchronous Personalized Learning for Heterogeneous Wireless Networks. SPAWC Xiaolan Liu, Jackson Ross, Yue Liu, Yuanwei Liu
2023	J	`jnl`	Bayesian Optimization-Driven Adversarial Poisoning Attacks Against Distributed Learning. IEEE Access Marios Aristodemou, Xiaolan Liu, Sangarapillai Lambotharan, Basil AsSadhan
2023	J	`jnl`	Distributed Intelligence in Wireless Networks. IEEE Open J. Commun. Soc. Xiaolan Liu, Jiadong Yu, Yuanwei Liu, Yue Gao, Toktam Mahmoodi, Sangarapillai Lambotharan, Danny Hin-Kwok Tsang
2023	J	`jnl`	Distributed Learning for Metaverse over Wireless Networks. IEEE Commun. Mag. Xiaolan Liu, Yuanwei Liu
2023	—	`conf`	Energy Efficient IRS Assisted NOMA Aided Mobile Edge Computing via Heterogeneous Multi-Agent Reinforcement Learning. ICC Jiadong Yu, Yang Li, Xiaolan Liu, Bo Sun, Yuan Wu, Danny H. K. Tsang
2023	J	`jnl`	FheFL: Fully Homomorphic Encryption Friendly Privacy-Preserving Federated Learning with Byzantine Users. CoRR Yogachandran Rahulamathavan, Charuka Herath, Xiaolan Liu, Sangarapillai Lambotharan, Carsten Maple
2023	J	`jnl`	IRS Assisted NOMA Aided Mobile Edge Computing With Queue Stability: Heterogeneous Multi-Agent Reinforcement Learning. IEEE Trans. Wirel. Commun. Jiadong Yu, Yang Li, Xiaolan Liu, Bo Sun, Yuan Wu, Danny Hin-Kwok Tsang
2023	B	`conf`	Opportunistic Transmission of Distributed Learning Models in Mobile UAVs. PIMRC Jingxin Li, Xiaolan Liu, Toktam Mahmoodi
2023	J	`jnl`	Opportunistic Transmission of Distributed Learning Models in Mobile UAVs. CoRR Jingxin Li, Xiaolan Liu, Toktam Mahmoodi
2023	J	`jnl`	Recursive Euclidean Distance Based Robust Aggregation Technique For Federated Learning. CoRR Charuka Herath, Yogachandran Rahulamathavan, Xiaolan Liu
2023	—	`conf`	Staged Reinforcement Learning for Complex Tasks Through Decomposed Environments. ISPR (2) Rafael Pina, Corentin Artaud, Xiaolan Liu, Varuna De Silva
2023	J	`jnl`	Staged Reinforcement Learning for Complex Tasks through Decomposed Environments. CoRR Rafael Pina, Corentin Artaud, Xiaolan Liu, Varuna De Silva
2023	J	`jnl`	Wireless Distributed Learning: A New Hybrid Split and Federated Learning Approach. IEEE Trans. Wirel. Commun. Xiaolan Liu, Yansha Deng, Toktam Mahmoodi
2022	J	`jnl`	3D On and Off-Grid Dynamic Channel Tracking for Multiple UAVs and Satellite Communications. IEEE Trans. Wirel. Commun. Jiadong Yu, Xiaolan Liu, Yue Gao, Xuemin Shen
2022	—	`conf`	A Novel Hybrid Split and Federated Learning Architecture in Wireless UAV Networks. ICC Xiaolan Liu, Yansha Deng, Toktam Mahmoodi
2022	J	`jnl`	Deep Learning for Channel Tracking in IRS-Assisted UAV Communication Systems. IEEE Trans. Wirel. Commun. Jiadong Yu, Xiaolan Liu, Yue Gao, Chiya Zhang, Wei Zhang
2022	J	`jnl`	Distributed Intelligence in Wireless Networks. CoRR Xiaolan Liu, Jiadong Yu, Yuanwei Liu, Yue Gao, Toktam Mahmoodi, Sangarapillai Lambotharan, Danny H. K. Tsang
2022	J	`jnl`	IRS Assisted NOMA Aided Mobile Edge Computing with Queue Stability: Heterogeneous Multi-Agent Reinforcement Learning. CoRR Jiadong Yu, Yang Li, Xiaolan Liu, Bo Sun, Yuan Wu, Danny H. K. Tsang
2021	C	`conf`	On-Grid 3D Dynamic Channel Tracking for Space-Air Communications with Multiple UAVs. ICCC Jiadong Yu, Xiaolan Liu, Yue Gao
2020	J	`jnl`	3D Channel Tracking for UAV-Satellite Communications in Space-Air-Ground Integrated Networks. IEEE J. Sel. Areas Commun. Jiadong Yu, Xiaolan Liu, Yue Gao, Xuemin Shen
2020	J	`jnl`	Fairness-Aware Intragroup Cooperative Transmission in Wireless Powered Communication Networks. IEEE Trans. Veh. Technol. Zhi Mao, Fengye Hu, Dayang Sun, Shaodan Ma, Xiaolan Liu
2020	J	`jnl`	Learning to Predict the Mobility of Users in Mobile mmWave Networks. IEEE Wirel. Commun. Xiaolan Liu, Jiadong Yu, Haoran Qi, Jianxin Yang, Wenge Rong, Xiuyin Zhang, Yue Gao
2020	J	`jnl`	Long-Term Channel Statistic Estimation for Highly-Mobile Hybrid MmWave Multi-User MIMO Systems. IEEE Trans. Veh. Technol. Jiadong Yu, Xiaolan Liu, Haoran Qi, Yue Gao
2020	J	`jnl`	Multi-agent Reinforcement Learning for Resource Allocation in IoT networks with Edge Computing. CoRR Xiaolan Liu, Jiadong Yu, Yue Gao
2020	J	`jnl`	Resource Allocation With Edge Computing in IoT Networks via Machine Learning. IEEE Internet Things J. Xiaolan Liu, Jiadong Yu, Jian Wang, Yue Gao
2019	J	`jnl`	Optimal Time Scheduling Scheme for Wireless Powered Ambient Backscatter Communications in IoT Networks. IEEE Internet Things J. Xiaolan Liu, Yue Gao, Fengye Hu
2019	C	`conf`	Reinforcement Learning Approaches for IoT Networks with Energy Harvesting. ICCC Xiaolan Liu, Yue Gao
2019	—	`conf`	Resource Allocation for Edge Computing in IoT Networks via Reinforcement Learning. ICC Xiaolan Liu, Zhijin Qin, Yue Gao
2019	J	`jnl`	Resource Allocation in Wireless Powered IoT Networks. IEEE Internet Things J. Xiaolan Liu, Zhijin Qin, Yue Gao, Julie A. McCann
2019	B	`conf`	Spatial Channel Covariance Estimation for Hybrid mmWave Multi-User MIMO Systems. GLOBECOM Jiadong Yu, Xiaolan Liu, Haoran Qi, Wei Zhang, Yue Gao
2018	J	`jnl`	Optimal Time Scheduling Scheme for Wireless Powered Ambient Backscatter Communication in IoT Network. CoRR Xiaolan Liu, Yue Gao, Fengye Hu
2018	J	`jnl`	Resource Allocation in in wireless powered IoT networks. CoRR Xiaolan Liu, Zhijin Qin, Yue Gao, Julie A. McCann