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A method and device for training classification models and data classification Patent
专利类型: 发明专利Invention,
Authors:  Kafeng Wang;  Chengzhong Xu;  Haoyi Xiong;  Xingjian Li;  Dejing Dou
Favorite |  | Submit date：2022/08/29
Deep Learning  Efficiency  Neural Network  Compression  Dynamic Computing  
P3 ViT: A CIM-Based High-Utilization Architecture With Dynamic Pruning and Two-Way Ping-Pong Macro for Vision Transformer Journal article
Fu, Xiangqu, Ren, Qirui, Wu, Hao, Xiang, Feibin, Luo, Qing, Yue, Jinshan, Chen, Yong, Zhang, Feng. P3 ViT: A CIM-Based High-Utilization Architecture With Dynamic Pruning and Two-Way Ping-Pong Macro for Vision Transformer[J]. IEEE Transactions on Circuits and Systems I: Regular Papers, 2023, 70(12), 4938-4948.
Authors:  Fu, Xiangqu;  Ren, Qirui;  Wu, Hao;  Xiang, Feibin;  Luo, Qing; et al.
Favorite | TC[WOS]:3 TC[Scopus]:3  IF:5.2/4.5 | Submit date：2024/02/22
Accelerator  Cmos  Computing-in-memory (Cim)  Dynamic Prune  Prediction Network  Vision Transformer (Vit)  
IRS Aided MEC Systems with Binary Offloading: A Unified Framework for Dynamic IRS Beamforming Journal article
Guangji Chen, Qingqing Wu, Ruiqi Liu, Jingxian Wu, Chao Fang. IRS Aided MEC Systems with Binary Offloading: A Unified Framework for Dynamic IRS Beamforming[J]. IEEE Journal on Selected Areas in Communications, 2022, 41(2), 349-365.
Authors:  Guangji Chen;  Qingqing Wu;  Ruiqi Liu;  Jingxian Wu;  Chao Fang
Favorite | TC[WOS]:33 TC[Scopus]:45  IF:13.8/13.1 | Submit date：2023/01/30
Array Signal Processing  Binary Offloading  Cloud Computing  Computation Rate  Dynamic Beamforming  Intelligent Reflecting Surface (Irs)  Internet Of Things  Mobile Edge Computing  Optimization  Resource Allocation  Resource Management  Servers  Task Analysis  
IRS-aided Wireless Powered MEC Systems: TDMA or NOMA for Computation Offloading? Journal article
Guangji Chen, Qingqing Wu, Wen Chen, Derrick Wing Kwan Ng, Lajos Hanzo, Guangji Chen, Qingqing Wu, Wen Chen, Derrick Wing Kwan Ng, Lajos Hanzo. IRS-aided Wireless Powered MEC Systems: TDMA or NOMA for Computation Offloading?[J]. IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, 2022, 22(2), 1201-1218.
Authors:  Guangji Chen;  Qingqing Wu;  Wen Chen;  Derrick Wing Kwan Ng;  Lajos Hanzo; et al.
Favorite | TC[WOS]:60 TC[Scopus]:70  IF:8.9/8.6 | Submit date：2023/01/30
Irs  Wireless Powered Mobile Edge Computing  Dynamic Beamforming  Noma  Tdma  
Computation Rate Maximization for IRS-Aided Wireless Powered MEC Systems Conference paper
Chen, Guangji, Wu, Qingqing. Computation Rate Maximization for IRS-Aided Wireless Powered MEC Systems[C], 2022, 417-422.
Authors:  Chen, Guangji;  Wu, Qingqing
Favorite | TC[WOS]:8 TC[Scopus]:9 | Submit date：2022/08/05
Dynamic Beamforming  Irs  Noma  Tdma  Wireless Powered Mobile Edge Computing  
Optimal Dynamic Spectrum Allocation-assisted Latency Minimization for Multiuser Mobile Edge Computing Journal article
Li Yang, Wang Tianshun, Wu Yuan, Jia Weijia. Optimal Dynamic Spectrum Allocation-assisted Latency Minimization for Multiuser Mobile Edge Computing[J]. Digital Communications and Networks, 2021, 8(3), 247-256.
Authors:  Li Yang;  Wang Tianshun;  Wu Yuan;  Jia Weijia
Favorite | TC[WOS]:8 TC[Scopus]:13  IF:7.5/7.3 | Submit date：2022/05/17
Multiuser Mobile Edge Computing  Dynamic Bandwidth Allocation  Computation Offloading  Resource Allocations  
RPTCN: Resource Prediction for High-dynamic Workloads in Clouds based on Deep Learning Conference paper
Wenyan Chen, Chengzhi Lu, Kejiang Ye, Yang Wang, Cheng-Zhong Xu. RPTCN: Resource Prediction for High-dynamic Workloads in Clouds based on Deep Learning[C]:IEEE, 2021, 59-69.
Authors:  Wenyan Chen;  Chengzhi Lu;  Kejiang Ye;  Yang Wang;  Cheng-Zhong Xu
Favorite | TC[WOS]:14 TC[Scopus]:18 | Submit date：2022/05/13
Cloud Computing  Deep Learning  High Dynamic  Resource Prediction  
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]:131 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)  
Dynamic Spectrum Allocation Enabled Multi-user Latency Minimization in Mobile Edge Computing Conference paper
Li Yang, Wu Yuan, Jia Weijia. Dynamic Spectrum Allocation Enabled Multi-user Latency Minimization in Mobile Edge Computing[C], 2020, 161-168.
Authors:  Li Yang;  Wu Yuan;  Jia Weijia
Favorite | TC[WOS]:1 TC[Scopus]:2 | Submit date：2021/09/10
And Resource Management  Computation Offloading  Dynamic Bandwidth Allocation  Multi-user Mobile Edge Computing  
SMig-RL: An evolutionary migration framework for cloud services based on deep reinforcement learning Journal article
Ren,Hongshuai, Wang,Yang, Xu,Chengzhong, Chen,Xi. SMig-RL: An evolutionary migration framework for cloud services based on deep reinforcement learning[J]. ACM Transactions on Internet Technology, 2020, 20(4).
Authors:  Ren,Hongshuai;  Wang,Yang;  Xu,Chengzhong;  Chen,Xi
Favorite | TC[WOS]:7 TC[Scopus]:7  IF:3.9/3.6 | Submit date：2021/03/09
Cloud Computing  Deep Reinforcement Learning  Dynamic Service Migration  Mobile Access  Q-learning  Rnn