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Neighbor Distribution Learning for Minority Class Augmentation Journal article
Zhou, Mengting, Gong, Zhiguo. Neighbor Distribution Learning for Minority Class Augmentation[J]. IEEE Transactions on Knowledge and Data Engineering, 2024, 36(12), 8901-8913.
Authors:  Zhou, Mengting;  Gong, Zhiguo
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:8.9/8.8 | Submit date：2024/09/03
Training  Topology  Graph Neural Networks  Data Models  Accuracy  Task Analysis  Image Color Analysis  Class-imbalanced Learning  Data Mining  Node Classification  
Incentive Mechanism Design for Electricity Data Trading With Data Valuation-Aware Contract Conference paper
Ma, Liya, Hui, Hongxun, Song, Yonghua. Incentive Mechanism Design for Electricity Data Trading With Data Valuation-Aware Contract[C]:IEEE Computer Society, 2024.
Authors:  Ma, Liya;  Hui, Hongxun;  Song, Yonghua
Favorite | TC[Scopus]:0 | Submit date：2024/11/05
Data Trading  Data Valuation  Incentive Mechanism  Trading Volume-reward Bundled Contract  Data Privacy  Renewable Energy Sources  Electricity  Data Integrity  Dispatching  Data Models  Real-time Systems  Power Systems  Contracts  Cost Accounting  
Environment Sensing-aided Beam Prediction with Transfer Learning for Smart Factory Conference paper
Zhao, Chuanbing, Feng, Yuan, Gao, Feifei, Zhang, Yong, Ma, Shaodan, Poor, H. Vincent. Environment Sensing-aided Beam Prediction with Transfer Learning for Smart Factory[C]:Institute of Electrical and Electronics Engineers Inc., 2024, 2077-2082.
Authors:  Zhao, Chuanbing;  Feng, Yuan;  Gao, Feifei;  Zhang, Yong;  Ma, Shaodan; et al.
Favorite | TC[WOS]:0 TC[Scopus]:0 | Submit date：2024/11/05
Beam Prediction  Environment Sensing  Mmwave  Transfer Learning  Adaptation Models  Costs  Accuracy  Simulation  Training Data  Predictive Models  
Boosting Image Restoration via Priors from Pre-Trained Models Conference paper
Xu, Xiaogang, Kong, Shu, Hu, Tao, Liu, Zhe, Bao, Hujun. Boosting Image Restoration via Priors from Pre-Trained Models[C]:IEEE Computer Society, 2024, 2900-2909.
Authors:  Xu, Xiaogang;  Kong, Shu;  Hu, Tao;  Liu, Zhe;  Bao, Hujun
Favorite | TC[Scopus]:2 | Submit date：2024/11/05
Computer Vision  Shape  Computational Modeling  Noise Reduction  Training Data  Boosting  Data Models  Pre-trained Models  Image Restoration  Spatial-varying Enhancement  Channel-spatial Attention  
Federated Learning-Empowered AI-Generated Content in Wireless Networks Journal article
Huang Xumin, Li Peichun, Du Hongyang, Kang Jiawen, Niyato Dusit, Kim Dong In, Wu Yuan. Federated Learning-Empowered AI-Generated Content in Wireless Networks[J]. IEEE Network, 2024, 38(5), 304-313.
Authors:  Huang Xumin;  Li Peichun;  Du Hongyang;  Kang Jiawen;  Niyato Dusit; et al.
Favorite | TC[WOS]:8 TC[Scopus]:17  IF:6.8/8.5 | Submit date：2024/05/16
Adaptation Models  Aigc  Computational Modeling  Data Models  Deep Learning  Federated Learning  Generative Adversarial Networks  Stable Diffusion  Task Analysis  Training  Transformers  Wireless Networks  
Privacy-Enhanced and Efficient Federated Knowledge Transfer Framework in IoT Journal article
Pan, Yanghe, Su, Zhou, Wang, Yuntao, Li, Ruidong, Wu, Yuan. Privacy-Enhanced and Efficient Federated Knowledge Transfer Framework in IoT[J]. IEEE Internet of Things Journal, 2024.
Authors:  Pan, Yanghe;  Su, Zhou;  Wang, Yuntao;  Li, Ruidong;  Wu, Yuan
Favorite | TC[Scopus]:0  IF:8.2/9.0 | Submit date：2024/10/10
Federated Learning  Knowledge Transfer  Data Models  Differential Privacy  Iot  
Cloud-Edge Collaborative Large Model Services: Challenges and Solutions Journal article
Pan Yanghe, Su Zhou, Wang Yuntao, Guo Shaolong, Liu Han, Li Ruidong, Wu Yuan. Cloud-Edge Collaborative Large Model Services: Challenges and Solutions[J]. IEEE Network, 2024.
Authors:  Pan Yanghe;  Su Zhou;  Wang Yuntao;  Guo Shaolong;  Liu Han; et al.
Favorite | TC[Scopus]:0  IF:6.8/8.5 | Submit date：2024/08/26
Adaptation Models  Artificial Intelligence  Cloud Computing  Cloud-edge Computing  Collaboration  Computational Modeling  Data Models  Data Privacy  Large Model  Task Analysis  
Hypercomplex Signal Processing in Digital Twin of the Ocean: Theory and application [Hypercomplex Signal and Image Processing] Journal article
Yu, Zhaoyuan, Li, Dongshuang, Du, Pei, Luo, Wen, Kou, Kit Ian, Bhatti, Uzair Aslam, Benger, Werner, Lv, Guonian, Yuan, Linwang. Hypercomplex Signal Processing in Digital Twin of the Ocean: Theory and application [Hypercomplex Signal and Image Processing][J]. IEEE Signal Processing Magazine, 2024, 41(3), 33-48.
Authors:  Yu, Zhaoyuan;  Li, Dongshuang;  Du, Pei;  Luo, Wen;  Kou, Kit Ian; et al.
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:9.4/18.0 | Submit date：2024/09/03
Analytical Models  Computational Modeling  Data Visualization  Geoscience  Signal Processing  Predictive Models  Hypercomplex  Digital Twins  Oceanography  Artificial Intelligence  High Performance Computing  
Broadband Digital Over-the-Air Computation for Wireless Federated Edge Learning Journal article
You, Lizhao, Zhao, Xinbo, Cao, Rui, Shao, Yulin, Fu, Liqun. Broadband Digital Over-the-Air Computation for Wireless Federated Edge Learning[J]. IEEE Transactions on Mobile Computing, 2024, 23(5), 5212 - 5228.
Authors:  You, Lizhao;  Zhao, Xinbo;  Cao, Rui;  Shao, Yulin;  Fu, Liqun
Favorite | TC[WOS]:2 TC[Scopus]:5  IF:7.7/6.5 | Submit date：2024/02/23
Atmospheric Modeling  Channel Codes  Data Models  Decoding  Federated Edge Learning  Multiple Access  Ofdm  Over-the-air Computation  Real-time Implementation  Real-time Systems  Servers  Symbols  
Customized Load Profiles Synthesis for Electricity Customers Based on Conditional Diffusion Models Journal article
Zhenyi Wang, Hongcai Zhang. Customized Load Profiles Synthesis for Electricity Customers Based on Conditional Diffusion Models[J]. IEEE Transactions on Smart Grid, 2024, 15(4), 10438078.
Authors:  Zhenyi Wang;  Hongcai Zhang
Favorite | TC[WOS]:1 TC[Scopus]:5  IF:8.6/9.6 | Submit date：2024/04/24
Analytical Models  Conditional Diffusion Models  Data Analytics Applications  Data Models  Deep Generative Model  Load Modeling  Load Profiles Synthesis  Mathematical Models  Numerical Models  Power Systems  Task Analysis