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FedHybrid: Breaking the Memory Wall of Federated Learning via Hybrid Tensor Management Conference paper
Tam, Kahou, Tian, Chunlin, Li, Li, Zhao, Haikai, Xu, Cheng Zhong. FedHybrid: Breaking the Memory Wall of Federated Learning via Hybrid Tensor Management[C], New York, NY, USA:Association for Computing Machinery, 2024, 394-408.
Authors:  Tam, Kahou;  Tian, Chunlin;  Li, Li;  Zhao, Haikai;  Xu, Cheng Zhong
Favorite | TC[Scopus]:0 | Submit date：2024/12/26
Federated Learning  Memory Optimization  Mobile Computing  
A Quantum Reinforcement Learning Approach for Joint Resource Allocation and Task Offloading in Mobile Edge Computing Journal article
Wei, Xinliang, Gao, Xitong, Ye, Kejiang, Xu, Cheng Zhong, Wang, Yu. A Quantum Reinforcement Learning Approach for Joint Resource Allocation and Task Offloading in Mobile Edge Computing[J]. IEEE Transactions on Mobile Computing, 2024.
Authors:  Wei, Xinliang;  Gao, Xitong;  Ye, Kejiang;  Xu, Cheng Zhong;  Wang, Yu
Favorite | TC[Scopus]:0  IF:7.7/6.5 | Submit date：2024/12/26
Hybrid Quantum Model  Mobile Edge Computing  Quantum Reinforcement Learning  Resource Allocation  Task Offloading  
Deep Reinforcement Learning for Integrated Sensing and Communication in RIS-assisted 6G V2X System Journal article
Long, Xudong, Zhao, Yubin, Wu, Huaming, Xu, Cheng Zhong. Deep Reinforcement Learning for Integrated Sensing and Communication in RIS-assisted 6G V2X System[J]. IEEE Internet of Things Journal, 2024.
Authors:  Long, Xudong;  Zhao, Yubin;  Wu, Huaming;  Xu, Cheng Zhong
Favorite | TC[WOS]:1 TC[Scopus]:1  IF:8.2/9.0 | Submit date：2024/10/10
6g Mobile Communication  6g V2x  Accuracy  Array Signal Processing  Channel Models  Deep Reinforcement Learning  Fisher Information Matrix  Integrated Sensing And Communication  Isac  Optimization  Reconfigurable Intelligent Surface  Vehicle-to-everything  
Joint Channel Estimation and Reinforcement-Learning-Based Resource Allocation of Intelligent-Reflecting-Surface-Aided Multicell Mobile Edge Computing Journal article
Xu Wenhan, Yu Jiadong, Wu Yuan, Tsang Danny Hin Kwok. Joint Channel Estimation and Reinforcement-Learning-Based Resource Allocation of Intelligent-Reflecting-Surface-Aided Multicell Mobile Edge Computing[J]. IEEE Internet of Things Journal, 2024, 11(7), 11862-11875.
Authors:  Xu Wenhan;  Yu Jiadong;  Wu Yuan;  Tsang Danny Hin Kwok
Favorite | TC[WOS]:0 TC[Scopus]:2  IF:8.2/9.0 | Submit date：2024/05/02
Channel Estimate  Intelligent Reflecting Surface (Irs)  Mobile Edge Computation  Multicell Networks  Proximal Policy Optimization (Ppo)  Reinforcement Learning (Rl)  
Dynamic Scheduling of Mobile Energy Storage for Post-Disaster Power Recovery from Storm Tides: A Multi-Agent Reinforcement Learning Framework Conference paper
Liu, Fengrui, Lao, Keng Weng, Guo, Haotian, Zhang, Ziyao, Kong, Weiming, Hu, Xiaorui. Dynamic Scheduling of Mobile Energy Storage for Post-Disaster Power Recovery from Storm Tides: A Multi-Agent Reinforcement Learning Framework[C]:IEEE, 2024.
Authors:  Liu, Fengrui;  Lao, Keng Weng;  Guo, Haotian;  Zhang, Ziyao;  Kong, Weiming; et al.
Favorite | TC[Scopus]:0 | Submit date：2024/12/26
Hazard Assessment Framework  Mobile Energy Storage  Multi-agent Reinforcement Learning  Power System Security  Storm Tide  
Test takers’ attitudes of using exam-oriented mobile application as a tool to adapt in a high-stakes speaking test Journal article
Qianru Li, CHAN KAN KAN. Test takers’ attitudes of using exam-oriented mobile application as a tool to adapt in a high-stakes speaking test[J]. Education and Information Technologies, 2024, 29(1), 219-237.
Authors:  Qianru Li;  CHAN KAN KAN
Favorite | TC[WOS]:3 TC[Scopus]:3  IF:4.8/4.8 | Submit date：2023/12/29
Mobile-assisted Language Learning  Mobile Application  High-stakes Speaking Test  Artificial Intelligence  Test Takers' Attitudes  
MobiCharger: Optimal Scheduling for Cooperative EV-to-EV Dynamic Wireless Charging Journal article
Yan, Li, Shen, Haiying, Kang, Liuwang, Zhao, Juanjuan, Zhang, Zhe, Xu, Chengzhong. MobiCharger: Optimal Scheduling for Cooperative EV-to-EV Dynamic Wireless Charging[J]. IEEE Transactions on Mobile Computing, 2023, 22(12), 6889-6906.
Authors:  Yan, Li;  Shen, Haiying;  Kang, Liuwang;  Zhao, Juanjuan;  Zhang, Zhe; et al.
Favorite | TC[WOS]:4 TC[Scopus]:5  IF:7.7/6.5 | Submit date：2024/01/02
Mobile Charger Deployment  Mobility Data Analysis  Reinforcement Learning  Vehicle Wireless Charging  
Collaborative Honeypot Defense in UAV Networks: A Learning-Based Game Approach Journal article
Wang, Yuntao, Su, Zhou, Benslimane, Abderrahim, Xu, Qichao, Dai, Minghui, Li, Ruidong. Collaborative Honeypot Defense in UAV Networks: A Learning-Based Game Approach[J]. IEEE Transactions on Information Forensics and Security, 2023, 19, 1963-1978.
Authors:  Wang, Yuntao;  Su, Zhou;  Benslimane, Abderrahim;  Xu, Qichao;  Dai, Minghui; et al.
Favorite | TC[WOS]:4 TC[Scopus]:9  IF:6.3/7.3 | Submit date：2024/02/22
Unmanned Aerial Vehicle (Uav)  Mobile Honeypot  Collaborative Defense  Game  Reinforcement Learning  
AnycostFL: Efficient On-Demand Federated Learning over Heterogeneous Edge Devices Conference paper
Li Peichun, Cheng Guoliang, Huang Xumin, Kang Jiawen, Yu Rong, Wu Yuan, Pan Miao. AnycostFL: Efficient On-Demand Federated Learning over Heterogeneous Edge Devices[C]:Institute of Electrical and Electronics Engineers Inc., 2023.
Authors:  Li Peichun;  Cheng Guoliang;  Huang Xumin;  Kang Jiawen;  Yu Rong; et al.
Favorite | TC[Scopus]:11 | Submit date：2023/08/29
Federated Learning  Edge Intelligence  Mobile Computing  Resource Management  
Mobile Crowdsourcing Task Offloading on Social Collaboration Networks: An Empirical Study Book chapter
出自: Wireless Networks (United Kingdom):Springer Nature, 2023, 页码:433-457
Authors:  Wang, Liang;  Cheng, Yong;  Yang, Dingqi;  Xu, Haixing;  Wang, Xueqing; et al.
Favorite | TC[Scopus]:0 | Submit date：2024/02/23
Deep Learning  Mobile Crowdsourcing  Social Collaboration  Task Offloading