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DeepTM: Efficient Tensor Management in Heterogeneous Memory for DNN Training Journal article
Zhou, Haoran, Rang, Wei, Chen, Hongyang, Zhou, Xiaobo, Cheng, Dazhao. DeepTM: Efficient Tensor Management in Heterogeneous Memory for DNN Training[J]. IEEE Transactions on Parallel and Distributed Systems, 2024, 35(11), 1920-1935.
Authors:  Zhou, Haoran;  Rang, Wei;  Chen, Hongyang;  Zhou, Xiaobo;  Cheng, Dazhao
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:5.6/4.5 | Submit date：2024/08/05
Deep Neural Network Training  Heterogeneous Memory  Memory Management  Performance Optimization  
FedMG: A Federated Multi-Global Optimization Framework for Autonomous Driving Control Conference paper
Ma, Jialiang, Tian, Chunlin, Li, Li, Xu, Chengzhong. FedMG: A Federated Multi-Global Optimization Framework for Autonomous Driving Control[C]:Institute of Electrical and Electronics Engineers Inc., 2024, 202971.
Authors:  Ma, Jialiang;  Tian, Chunlin;  Li, Li;  Xu, Chengzhong
Favorite | TC[WOS]:0 TC[Scopus]:2 | Submit date：2024/11/05
Training  Federated Learning  Velocity Control  Process Control  Collaboration  Quality Of Service  Distance Measurement  Autonomous Driving  Federated Learning  Control Optimization  
UAV Swarm-Assisted Two-Tier Hierarchical Federated Learning Journal article
Wang Tianshun, Huang Xumin, Wu Yuan, Qian Liping, Lin Bin, Su Zhou. UAV Swarm-Assisted Two-Tier Hierarchical Federated Learning[J]. IEEE Transactions on Network Science and Engineering, 2024, 11(1), 943-956.
Authors:  Wang Tianshun;  Huang Xumin;  Wu Yuan;  Qian Liping;  Lin Bin; et al.
Favorite | TC[WOS]:8 TC[Scopus]:10  IF:6.7/6.0 | Submit date：2023/12/13
Autonomous Aerial Vehicles  Computational Modeling  Data Models  Hierarchical Federated Learning  Optimization  Relays  Servers  Training  Uav Swarm  Wireless Federated Learning  
Filling the Missing: Exploring Generative AI for Enhanced Federated Learning over Heterogeneous Mobile Edge Devices Journal article
Li Peichun, Zhang Hanwen, Wu Yuan, Qian Liping, Yu Rong, Niyato Dusit, Shen Xuemin. Filling the Missing: Exploring Generative AI for Enhanced Federated Learning over Heterogeneous Mobile Edge Devices[J]. IEEE Transactions on Mobile Computing, 2024, 23(10), 10001 - 10015.
Authors:  Li Peichun;  Zhang Hanwen;  Wu Yuan;  Qian Liping;  Yu Rong; et al.
Favorite | TC[WOS]:10 TC[Scopus]:17  IF:7.7/6.5 | Submit date：2024/05/16
Convergence  Data Compensation  Data Models  Energy Consumption  Federated Learning  Generative Ai  Generative Ai  Optimization  Performance Evaluation  Resource Management  Training  
Empowering multi-class medical data classification by Group-of-Single-Class-predictors and transfer optimization: Cases of structured dataset by machine learning and radiological images by deep learning Journal article
Li, Tengyue, Fong, Simon, Mohammed, Sabah, Fiaidhi, Jinan, Guan, Steven, Chang, Victor. Empowering multi-class medical data classification by Group-of-Single-Class-predictors and transfer optimization: Cases of structured dataset by machine learning and radiological images by deep learning[J]. Future Generation Computer Systems-The International Journal of eScience, 2022, 133, 10-22.
Authors:  Li, Tengyue;  Fong, Simon;  Mohammed, Sabah;  Fiaidhi, Jinan;  Guan, Steven; et al.
Favorite | TC[WOS]:2 TC[Scopus]:2  IF:6.2/5.9 | Submit date：2022/05/13
Algorithm  Classification Model Training  Deep Learning  Machine Learning  Medical Dataset  Multi-class Classification  Parameter Optimization  Radiological Images Recognition  
Empowering multi-class medical data classification by Group-of-Single-Class-predictors and transfer optimization: Cases of structured dataset by machine learning and radiological images by deep learni Journal article
Li, Tengyue, Fong, Simon, Mohammed, Sabah, Fiaidhi, Jinan, Guan, Steven, Chang, Victor. Empowering multi-class medical data classification by Group-of-Single-Class-predictors and transfer optimization: Cases of structured dataset by machine learning and radiological images by deep learni[J]. Future Generation Computer Systems, 2022, 133(1), 10-22.
Authors:  Li, Tengyue;  Fong, Simon;  Mohammed, Sabah;  Fiaidhi, Jinan;  Guan, Steven; et al.
Adobe PDF | Favorite | TC[WOS]:2 TC[Scopus]:2  IF:6.2/5.9 | Submit date：2022/08/31
Machine Learning  Deep Learning  Multi-class Classification  Parameter Optimization  Classification Model Training  Medical Dataset  Radiological Images Recognition  
Proximal Policy Optimization With Policy Feedback Journal article
Gu, Yang, Cheng, Yuhu, Chen, C. L.P., Wang, Xuesong. Proximal Policy Optimization With Policy Feedback[J]. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2022, 52(7), 4600-4610.
Authors:  Gu, Yang;  Cheng, Yuhu;  Chen, C. L.P.;  Wang, Xuesong
Favorite | TC[WOS]:47 TC[Scopus]:66  IF:8.6/8.7 | Submit date：2022/05/13
Actor-critic (Ac)  Clipped Discount Factor  Estimation  Games  Optimization  Policy Feedback  Proximal Policy Optimization (Ppo)  Space Exploration  Task Analysis  Training  Trajectory  Value Function.  
Non-orthogonal Multiple Access assisted Federated Learning via Wireless Power Transfer: A Cost-Efficient Approach Journal article
Wu Yuan, Song Yuxiao, Wang Tianshun, Qian Liping, Quek Tony Q.S.. Non-orthogonal Multiple Access assisted Federated Learning via Wireless Power Transfer: A Cost-Efficient Approach[J]. IEEE Transactions on Communications, 2022, 70(4), 2853-2869.
Authors:  Wu Yuan;  Song Yuxiao;  Wang Tianshun;  Qian Liping;  Quek Tony Q.S.
Favorite | TC[WOS]:106 TC[Scopus]:125  IF:7.2/6.3 | Submit date：2022/08/18
Noma  Resource Management  Training  Optimization  Convergence  Mathematical Models  Energy Consumprion  Federated Learning(Fl)  Non-orthogonal Multiple Access(Noma)  Wireless Power Transfer(Wpt)  Resourse Allocations  
Training Optimization for Subarray-Based IRS-Assisted MIMO Communications Journal article
Dai, Hui, Zhang, Zhongshan, Gong, Shiqi, Xing, Chengwen, An, Jianping. Training Optimization for Subarray-Based IRS-Assisted MIMO Communications[J]. IEEE Internet of Things Journal, 2021, 9(4), 2890-2905.
Authors:  Dai, Hui;  Zhang, Zhongshan;  Gong, Shiqi;  Xing, Chengwen;  An, Jianping
Favorite | TC[WOS]:13 TC[Scopus]:14  IF:8.2/9.0 | Submit date：2022/03/04
Channel Estimation  Intelligent Reflecting Surface (Irs)  Mean-square Error (Mse)  Minimization Or Mutual infOrmation (Mui)  Training Optimization  
Addi-Reg: A Better Generalization-Optimization Tradeoff Regularization Method for Convolutional Neural Networks Journal article
Yao Lu, Zheng Zhang, Guangming Lu, Yicong Zhou, Jinxing Li, David Zhang. Addi-Reg: A Better Generalization-Optimization Tradeoff Regularization Method for Convolutional Neural Networks[J]. IEEE Transactions on Cybernetics, 2021, 52(10), 10827-10842.
Authors:  Yao Lu;  Zheng Zhang;  Guangming Lu;  Yicong Zhou;  Jinxing Li; et al.
Favorite | TC[WOS]:11 TC[Scopus]:9  IF:9.4/10.3 | Submit date：2022/05/13
Additional Regularization (Addi-reg)  Convergence  Convolutional Neural Networks (Cnns)  Deep Learning  Learning Systems  Multiplicative Regularization (Multi-reg)  Neural Networks  Optimization  Perturbation Methods  Regularization.  Residual Neural Networks  Training