A Slot-Based Opportunistic Spectrum Access for Cognitive Radio Networks. - Linbo Zhai; Gang Xie (IEICE Trans. Commun., 2011)

A Particle Swarm Optimization Algorithm for Controller Placement Problem in Software Defined Network. - Chuangen Gao; Hua Wang; Fangjin Zhu; Linbo Zhai; Shanwen Yi (ICA3PP (3), 2015)

VM Migration Planning in Software-Defined Data Center Networks. - Xibo Yao; Hua Wang; Chuangen Gao; Fangjin Zhu; Linbo Zhai (HPCC/SmartCity/DSS, 2016)

Maximizing Network Utilization for SDN Based on WiseAnt Colony Optimization. - Shanwen Yi; Hua Wang; Xibo Yao; Chuangen Gao; Linbo Zhai (HPCC/SmartCity/DSS, 2016)

An Energy-Aware Ant Colony Algorithm for Network-Aware Virtual Machine Placement in Cloud Computing. - Chuangen Gao; Hua Wang; Linbo Zhai; Yanqing Gao; Shanwen Yi (ICPADS, 2016)

Optimizing Routing Rules Space through Traffic Engineering Based on Ant Colony Algorithm in Software Defined Network. - Chuangen Gao; Hua Wang; Linbo Zhai; Shanwen Yi; Xibo Yao (ICTAI, 2016)

Energy-Aware VM Placement with Periodical Dynamic Demands in Cloud Datacenters. - Qian Zhang; Hua Wang; Fangjin Zhu; Shanwen Yi; Kang Feng; Linbo Zhai (HPCC/SmartCity/DSS, 2017)

Optimizing Concurrent Evacuation Transfers for Geo-Distributed Datacenters in SDN. - Xiaole Li; Hua Wang; Shanwen Yi; Xibo Yao; Fangjin Zhu; Linbo Zhai (ICA3PP, 2017)

User Classification in Crowdsourcing-Based Cooperative Spectrum Sensing. - Linbo Zhai; Hua Wang (Symmetry, 2017)

Crowdsensing Task Assignment Based on Particle Swarm Optimization in Cognitive Radio Networks. - Linbo Zhai; Hua Wang (Wirel. Commun. Mob. Comput., 2017)

Distributed Schemes for Crowdsourcing-Based Sensing Task Assignment in Cognitive Radio Networks. - Linbo Zhai; Hua Wang; Chengcheng Liu (Wirel. Commun. Mob. Comput., 2017)

Redundancy-Guaranteed and Receiving-Constrained Disaster Backup in Cloud Data Center Network. - Xiaole Li; Hua Wang; Shanwen Yi; Xibo Yao; Fangjin Zhu; Linbo Zhai (IEEE Access, 2018)

A Multi-Objective Ant Colony System Algorithm for Virtual Machine Placement in Traffic Intense Data Centers. - Yao Qin; Hua Wang; Fangjin Zhu; Linbo Zhai (IEEE Access, 2018)

Intelligent Environment Monitoring System for University Laboratories. - Linbo Zhai; Wenwen Jiang (Future Internet, 2018)

Cost-Efficient Dependent Task Offloading for Multiusers. - Yinuo Fan; Linbo Zhai; Hua Wang (IEEE Access, 2019)

Disaster-and-Evacuation-Aware Backup Datacenter Placement Based on Multi-Objective Optimization. - Xiaole Li; Hua Wang; Shanwen Yi; Shuai Liu; Linbo Zhai; Chuanqi Jiang (IEEE Access, 2019)

Cost-Minimized Crowdsourced Spectrum Sensing. - Xinyu Qiu; Linbo Zhai; Yinuo Fan; Hua Wang (IEEE Access, 2019)

Time-Minimized Offloading for Mobile Edge Computing Systems. - Xinyu Qiu; Linbo Zhai; Hua Wang (IEEE Access, 2019)

A Novel Multi-Band Reduced Sampling Rate and I/Q Compensation Technique for RF Power Amplifiers. - Jingmei Zhao; Linbo Zhai; Feng Yang 009 (IEEE Access, 2019)

Cost-efficient disaster backup for multiple data centers using capacity-constrained multicast. - Xiaole Li; Hua Wang; Shanwen Yi; Linbo Zhai (Concurr. Comput. Pract. Exp., 2019)

Progressive Forwarding Disaster Backup among Cloud Datacenters. - Xiaole Li; Hua Wang; Shanwen Yi; Linbo Zhai (IEICE Trans. Inf. Syst., 2019)

Optimal Task Partition with Delay Requirement in Mobile Crowdsourcing. - Linbo Zhai; Hua Wang; Xiaole Li (Wirel. Commun. Mob. Comput., 2019)

Joint Network Selection and Service Placement Based on Particle Swarm Optimization for Multi-Access Edge Computing. - Shuyue Ma; Shudian Song; Jingmei Zhao; Linbo Zhai; Feng Yang 009 (IEEE Access, 2020)

Virtual machine placement based on multi-objective reinforcement learning. - Yao Qin; Hua Wang; Shanwen Yi; Xiaole Li; Linbo Zhai (Appl. Intell., 2020)

An energy-aware scheduling algorithm for budget-constrained scientific workflows based on multi-objective reinforcement learning. - Yao Qin; Hua Wang; Shanwen Yi; Xiaole Li; Linbo Zhai (J. Supercomput., 2020)

Task Offloading and Parameter Optimization of MAR in Multi-access Edge Computing. - Yumei Li 008; Xiumin Zhu; Shudian Song; Shuyue Ma; Feng Yang 009; Linbo Zhai (HPCC/DSS/SmartCity/DependSys, 2021)

IMOPSOQ: Offloading Dependent Tasks in Multi-access Edge Computing. - Shuyue Ma; Shudian Song; Lingyu Yang; Jingmei Zhao; Feng Yang 009; Linbo Zhai (ISPA/BDCloud/SocialCom/SustainCom, 2021)

Computation Scheduling of Multi-Access Edge Networks Based on the Artificial Fish Swarm Algorithm. - Tiantian Li; Feng Yang 009; Depeng Zhang; Linbo Zhai (IEEE Access, 2021)

Dependent tasks offloading based on particle swarm optimization algorithm in multi-access edge computing. - Shuyue Ma; Shudian Song; Lingyu Yang; Jingmei Zhao; Feng Yang 009; Linbo Zhai (Appl. Soft Comput., 2021)

Progressive disaster evacuation in cloud datacenter network. - Xiaole Li; Yingji Luo; Wenyin Zhang; Deqian Fu; Hua Wang; Linbo Zhai (Concurr. Comput. Pract. Exp., 2021)

A multi-objective reinforcement learning algorithm for deadline constrained scientific workflow scheduling in clouds. - Yao Qin; Hua Wang; Shanwen Yi; Xiaole Li; Linbo Zhai (Frontiers Comput. Sci., 2021)

Service Caching and Task Offloading of Internet of Things Devices Guided by Lyapunov Optimization. - Nianxin Li; Xiumin Zhu; Yumei Li 008; LingLing Wang; Linbo Zhai (ISPA/BDCloud/SocialCom/SustainCom, 2022)

Delay-sensitive Task offloading combined with Bandwidth Allocation in Multi-access Edge Computing. - Shudian Song; Shuyue Ma; Xiumin Zhu; Yumei Li 008; Feng Yang 009; Linbo Zhai (LCN, 2022)

Dynamic Vehicle Aware Task Offloading Based on Reinforcement Learning in a Vehicular Edge Computing Network. - Lingling Wang; Xiumin Zhu; Nianxin Li; Yumei Li 008; Shuyue Ma; Linbo Zhai (MSN, 2022)

Number of UAVs and Mission Completion Time Minimization in Multi-UAV-Enabled IoT Networks. - Xingxia Gao; Xiumin Zhu; Linbo Zhai (NPC, 2022)

Cost-efficient multi-service task offloading scheduling for mobile edge computing. - Shudian Song; Shuyue Ma; Jingmei Zhao; Feng Yang 009; Linbo Zhai (Appl. Intell., 2022)

Multi-scale temporal features extraction based graph convolutional network with attention for multivariate time series prediction. - Yawen Chen; Fengqian Ding; Linbo Zhai (Expert Syst. Appl., 2022)

Delay-sensitive tasks offloading in multi-access edge computing. - Shudian Song; Shuyue Ma; Lingyu Yang; Jingmei Zhao; Feng Yang 009; Linbo Zhai (Expert Syst. Appl., 2022)

EOS.IO blockchain data analysis. - Wanshui Song; Wenyin Zhang; Linbo Zhai; Luanqi Liu; Jiuru Wang; Shanyun Huang; Bei Li (J. Supercomput., 2022)

Path planning of multi-UAVs based on deep Q-network for energy-efficient data collection in UAVs-assisted IoT. - Xiumin Zhu; Lingling Wang; Yumei Li 008; Shudian Song; Shuyue Ma; Feng Yang 009; Linbo Zhai (Veh. Commun., 2022)

Exploration of blended teaching mode based on Citespace visualization analysis in vocational schools. - Meiyu Jin; Linbo Zhai; Xiaoke Deng (ICIEAI, 2023)

Task offloading and parameters optimization of MAR in multi-access edge computing. - Yumei Li 008; Xiumin Zhu; Shudian Song; Shuyue Ma; Feng Yang 009; Linbo Zhai (Expert Syst. Appl., 2023)

Collaborative Content Caching and Task Offloading in Multi-Access Edge Computing. - Yumei Li 008; Xiumin Zhu; Nianxin Li; Lingling Wang; Yawen Chen; Feng Yang 009; Linbo Zhai (IEEE Trans. Veh. Technol., 2023)

Joint bandwidth allocation and task offloading in multi-access edge computing. - Shudian Song; Shuyue Ma; Xiumin Zhu; Yumei Li 008; Feng Yang 009; Linbo Zhai (Expert Syst. Appl., 2023)

AoI-Sensitive Data Collection in Multi-UAV-Assisted Wireless Sensor Networks. - Xingxia Gao; Xiumin Zhu; Linbo Zhai (IEEE Trans. Wirel. Commun., 2023)

A comparative study on student performance prediction using machine learning. - Yawen Chen; Linbo Zhai (Educ. Inf. Technol., 2023)

Minimization of Aerial Cost and Mission Completion Time in Multi-UAV-Enabled IoT Networks. - Xingxia Gao; Xiumin Zhu; Linbo Zhai (IEEE Trans. Commun., 2023)

Lyapunov-guided Deep Reinforcement Learning for service caching and task offloading in Mobile Edge Computing. - Nianxin Li; Linbo Zhai; Zeyao Ma; Xiumin Zhu; Yumei Li 008 (Comput. Networks, 2024)

Dynamic task offloading and service caching based on game theory in vehicular edge computing networks. - Chen Cheng; Linbo Zhai; Xiumin Zhu; Yujuan Jia; Yumei Li 008 (Comput. Commun., 2024)

Volunteer vehicle assisted dependent task offloading based on ant colony optimization algorithm in vehicular edge computing. - Chen Cheng; Linbo Zhai; Yujuan Jia; Xiumin Zhu; Yumei Li 008 (Veh. Commun., 2024)

Multi-Objective Deployment Optimization of UAVs for Energy-Efficient Wireless Coverage. - Xiumin Zhu; Linbo Zhai; Nianxin Li; Yumei Li 008; Feng Yang 009 (IEEE Trans. Commun., 2024)

Cache allocation policy based on user preference using reinforcement learning in mobile edge computing. - Nianxin Li; Linbo Zhai; Shudian Song; Xiumin Zhu; Yumei Li 008; Feng Yang 009 (Concurr. Comput. Pract. Exp., 2024)

Service Experience Oriented Cooperative Computing in Cache-Enabled UAVs Assisted MEC Networks. - Xingxia Gao; Linbo Zhai (IEEE Trans. Mob. Comput., 2024)

Joint task offloading and computing resource allocation with DQN for task-dependency in Multi-access Edge Computing. - Linbo Zhai; Zekun Lu; Jiande Sun 001; Xiaole Li (Comput. Networks, 2025)

Task offloading and multi-cache placement in multi-access mobile edge computing. - Linbo Zhai; Ping Zhao; Kai Xue; Yumei Li 008; Chen Cheng (Comput. Networks, 2025)

Latency minimization in IRS-UAV assisted WPT-MEC systems: An ID-AOPDDQN-based trajectory and phase shift optimization approach. - Wenjie Zhou; Linbo Zhai; Zekun Lu; Kai Xue; Tian Zhang (Comput. Networks, 2025)

Task offloading strategy of vehicle edge computing based on reinforcement learning. - Lingling Wang; Wenjie Zhou; Linbo Zhai (J. Netw. Comput. Appl., 2025)

Beamforming design and trajectory optimization for integrated sensing and communication supported by multiple UAVs based on DRL. - Zekun Lu; Linbo Zhai; Wenjie Zhou; Kai Xue; Xingxia Gao (Veh. Commun., 2025)

Task offloading and multi-cache placement based on DRL in UAV-assisted MEC networks. - Kai Xue; Linbo Zhai; Yumei Li 008; Zekun Lu; Wenjie Zhou (Veh. Commun., 2025)

Deep reinforcement learning based migration and execution decisions for multi-hop task offloading in mobile vehicle edge computing. - Wenjie Zhou; Tian Zhang; Zekun Lu; Linbo Zhai (Veh. Commun., 2025)

Machine Learning-Driven Student Performance Prediction for Enhancing Tiered Instruction. - Yawen Chen; Jiande Sun 001; Jinhui Wang; Liang Zhao; Xinmin Song; Linbo Zhai (CoRR, 2025)

Energy Efficient Data Evacuation Path for Multi-UAV System Based on Multi-Objective Optimization Method. - Linbo Zhai; Xiumin Zhu; Chen Cheng (IEEE Trans. Veh. Technol., 2025)