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Attention-Based SIC Ordering and Power Allocation for Non-Orthogonal Multiple Access Networks Journal article
Huang, Liang, Zhu, Bincheng, Nan, Runkai, Chi, Kaikai, Wu, Yuan. Attention-Based SIC Ordering and Power Allocation for Non-Orthogonal Multiple Access Networks[J]. IEEE Transactions on Mobile Computing, 2024.
Authors:  Huang, Liang;  Zhu, Bincheng;  Nan, Runkai;  Chi, Kaikai;  Wu, Yuan
Favorite | TC[Scopus]:0  IF:7.7/6.5 | Submit date：2024/11/05
Non-orthogonal Multiple Access (Noma)  Successive Interference Cancellation (Sic)  Deep Reinforcement Learning (Drl)  Resource Allocation  
Intelligent Home Energy Management Strategy With Internal Pricing Mechanism Based on Multiagent Artificial Intelligence-of-Things Journal article
Xu, Tianyun, Chen, Tao, Gao, Ciwei, Hui, Hongxun. Intelligent Home Energy Management Strategy With Internal Pricing Mechanism Based on Multiagent Artificial Intelligence-of-Things[J]. IEEE Systems Journal, 2023, 17(4), 6045-6056.
Authors:  Xu, Tianyun;  Chen, Tao;  Gao, Ciwei;  Hui, Hongxun
Favorite | TC[WOS]:4 TC[Scopus]:7  IF:4.0/3.9 | Submit date：2024/01/02
Artificial Intelligence-of-things (Aiot)  Deep Reinforcement Learning (Drl)  Electricity Pricing Mechanism  Home Energy Management  
Deep Reinforcement Learning Empowered Rate Selection of XP-HARQ Journal article
Wu, Da, Feng, Jiahui, Shi, Zheng, Lei, Hongjiang, Yang, Guanghua, Ma, Shaodan. Deep Reinforcement Learning Empowered Rate Selection of XP-HARQ[J]. IEEE Communications Letters, 2023, 27(9), 2363-2367.
Authors:  Wu, Da;  Feng, Jiahui;  Shi, Zheng;  Lei, Hongjiang;  Yang, Guanghua; et al.
Favorite | TC[WOS]:2 TC[Scopus]:2  IF:3.7/3.5 | Submit date：2023/10/10
Cross-packet Hybrid Automatic Repeat Request (Xp-harq)  Deep Reinforcement Learning (Drl)  Outdated Channel State Information  Rate Selection  
Joint Scheduling and Beamforming Design in Traffic-Aware RIS Aided MEC Network Conference paper
Li, Aichen, Liu, Yang, Wu, Qingqing, Shi, Qingjiang, Zhao, Jun. Joint Scheduling and Beamforming Design in Traffic-Aware RIS Aided MEC Network[C], 2023, 1646-1651.
Authors:  Li, Aichen;  Liu, Yang;  Wu, Qingqing;  Shi, Qingjiang;  Zhao, Jun
Favorite | TC[Scopus]:1 | Submit date：2023/03/06
Deep Reinforcement Learning (Drl)  Lyapunov Optimization  Multi-access Edge Computing (Mec)  Reconfigurable Intelligent Surface (Ris)  
A Deep Reinforcement Learning Recommender System With Multiple Policies for Recommendations Journal article
Mingsheng Fu, Liwei Huang, Ananya Rao, Athirai A. Irissappane, Jie Zhang, Hong Qu. A Deep Reinforcement Learning Recommender System With Multiple Policies for Recommendations[J]. IEEE Transactions on Industrial Informatics, 2022, 19(2), 2049-2061.
Authors:  Mingsheng Fu;  Liwei Huang;  Ananya Rao;  Athirai A. Irissappane;  Jie Zhang; et al.
Favorite | TC[WOS]:6 TC[Scopus]:7  IF:11.7/11.4 | Submit date：2023/02/22
Deep Reinforcement Learning (Drl)  Multitask Markov Decision Process (Mdp)  Recommender System  
Off-Policy Deep Reinforcement Learning Based on Steffensen Value Iteration Journal article
Cheng, Yuhu, Chen, Lin, Chen, C. L.Philip, Wang, Xuesong. Off-Policy Deep Reinforcement Learning Based on Steffensen Value Iteration[J]. IEEE Transactions on Cognitive and Developmental Systems, 2021, 13(4), 1023-1032.
Authors:  Cheng, Yuhu;  Chen, Lin;  Chen, C. L.Philip;  Wang, Xuesong
Favorite | TC[WOS]:7 TC[Scopus]:10  IF:5.0/4.6 | Submit date：2022/01/14
Convergence Speed  Deep Reinforcement Learning (Drl)  Off-policy  Steffensen Iteration  Value Iteration (Vi)  
Joint scheduling design in wireless powered MEC IoT networks aided by reconfigurable intelligent surface Conference paper
Aichen Li, Yang Liu, Ming Li, Qingqing Wu, Jun Zhao. Joint scheduling design in wireless powered MEC IoT networks aided by reconfigurable intelligent surface[C], 2021, 159-164.
Authors:  Aichen Li;  Yang Liu;  Ming Li;  Qingqing Wu;  Jun Zhao
Favorite | TC[Scopus]:18 | Submit date：2021/11/22
Mobile Edge Computing (Mec)  Econfigurable Intelligent Surfaces (Ris)  Deep Reinforcement Learning (Drl)  Wireless Power Transfer (Wpt)  
Deep Reinforcement Learning-Based Dynamic Resource Management for Mobile Edge Computing in Industrial Internet of Things Journal article
Chen Ying, Liu Zhiyong, Zhang Yongchao, Wu Yuan, Chen Xin, Zhao Lian. Deep Reinforcement Learning-Based Dynamic Resource Management for Mobile Edge Computing in Industrial Internet of Things[J]. IEEE Transactions on Industrial Informatics, 2021, 17(7), 4925-4934.
Authors:  Chen Ying;  Liu Zhiyong;  Zhang Yongchao;  Wu Yuan;  Chen Xin; et al.
Favorite | TC[WOS]:133 TC[Scopus]:161  IF:11.7/11.4 | Submit date：2021/09/10
Deep Reinforcement Learning (Drl)  Dynamic Resource Management  Industrial Internet Of Things (Iiot)  Mobile Edge Computing (Mec)  
Learning a Deep Agent to Predict Head Movement in 360 Degree Images Journal article
YUCHENG ZHU, GUANGTAO ZHAI, XIONGKUO MIN, JIANTAO ZHOU. Learning a Deep Agent to Predict Head Movement in 360 Degree Images[J]. ACM Transactions on Multimedia Computing, Communications and Applications, 2020, 16(4).
Authors:  YUCHENG ZHU;  GUANGTAO ZHAI;  XIONGKUO MIN;  JIANTAO ZHOU
Adobe PDF | Favorite | TC[WOS]:16 TC[Scopus]:20  IF:5.2/4.9 | Submit date：2021/03/11
360 Degree  Deep Reinforcement Learning (Drl)  Head Movement Prediction  Omnidirectional  Panoramic  Saliency  Vr