Optimized Trajectory Design in UAV Based Cellular Networks: A Double Q-Learning Approach. - Xuanlin Liu; Mingzhe Chen; Changchuan Yin (ICCS, 2018)

Analysis of Memory Capacity for Deep Echo State Networks. - Xuanlin Liu; Mingzhe Chen; Changchuan Yin; Walid Saad 001 (ICMLA, 2018)

Federated Deep Learning for Immersive Virtual Reality over Wireless Networks. - Mingzhe Chen; Omid Semiari; Walid Saad 001; Xuanlin Liu; Changchuan Yin (GLOBECOM, 2019)

Task and Resource Allocation in Mobile Edge Computing: An Improved Reinforcement Learning Approach. - Sihua Wang; Mingzhe Chen; Xuanlin Liu; Changchuan Yin (GLOBECOM Workshops, 2019)

A FAHP and MPTCP Based Seamless Handover Method in Heterogeneous SDN Wireless Networks. - Haonan Tong; Xuanlin Liu; Changchuan Yin (WCSP, 2019)

Optimized Trajectory Design in UAV Based Cellular Networks for 3D Users: A Double Q-Learning Approach. - Xuanlin Liu; Mingzhe Chen; Changchuan Yin (J. Commun. Inf. Networks, 2019)

Deep Deterministic Policy Gradient Based Computation Offloading in Wireless-Powered MEC Networks. - Ruoqi Liu; Xuanlin Liu; Sihua Wang; Changchuan Yin (GLOBECOM (Workshops), 2020)

Joint Task and Resource Allocation in SDN-based UAV-assisted Cellular Networks. - Yujiao Zhu; Sihua Wang; Xuanlin Liu; Haonan Tong; Changchuan Yin (ICCC, 2020)

Trajectory Design for Energy Harvesting UAV Networks: A Foraging Approach. - Xuanlin Liu; Mingzhe Chen; Sihua Wang; Walid Saad 001; Changchuan Yin (WCNC, 2020)

VNF Placement and Resource Allocation in SDN/NFV-Enabled MEC Networks. - Kiran Nahida; Xuanlin Liu; Sihua Wang; Changchuan Yin (WCNC Workshops, 2020)

Federated Echo State Learning for Minimizing Breaks in Presence in Wireless Virtual Reality Networks. - Mingzhe Chen; Omid Semiari; Walid Saad 001; Xuanlin Liu; Changchuan Yin (IEEE Trans. Wirel. Commun., 2020)

Allocating Three-dimensional Resources for URLLC Services with Different Latency Requirements. - Haowei Wang; Xuanlin Liu; Changchuan Yin; Kai Zhang 018; Tao Wang 179 (ICCC, 2021)

Minimization of Age of Information for Monitoring Realistic Physical Processes in Unmanned Aerial Vehicle Networks. - Xuanlin Liu; Sihua Wang; Mingzhe Chen; Changchuan Yin; Shuguang Cui; H. Vincent Poor (SPAWC, 2021)

Optimising resource allocation for virtual network functions in SDN/NFV-enabled MEC networks. - Kiran Nahida; Xuanlin Liu; Sihua Wang; Changchuan Yin (IET Commun., 2021)

A Machine Learning Approach for Task and Resource Allocation in Mobile-Edge Computing-Based Networks. - Sihua Wang; Mingzhe Chen; Xuanlin Liu; Changchuan Yin; Shuguang Cui; H. Vincent Poor (IEEE Internet Things J., 2021)

Mobility-Aware Seamless Handover With MPTCP in Software-Defined HetNets. - Haonan Tong; Tao Wang 179; Yujiao Zhu; Xuanlin Liu; Sihua Wang; Changchuan Yin (IEEE Trans. Netw. Serv. Manag., 2021)

Enhanced Frame Preemption in Image and Video Transmission Over Time Sensitive Networks. - Haowei Wang; Jian Zhao; Xuanlin Liu; Changchuan Yin (PIMRC, 2022)

Biological Intelligence Inspired Trajectory Design for Energy Harvesting UAV Networks. - Xuanlin Liu; Sihua Wang; Changchuan Yin (Sensors, 2023)