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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]:9 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  
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  
Deep Generative Imputation Model for Missing Not At Random Data Conference paper
Jialei Chen, Yuanbo Xu, Pengyang Wang, Yongjian Yang. Deep Generative Imputation Model for Missing Not At Random Data[C]:ASSOC COMPUTING MACHINERY1601 Broadway, 10th Floor, NEW YORK, NY, UNITED STATES, 2023, 316 - 325.
Authors:  Jialei Chen;  Yuanbo Xu;  Pengyang Wang;  Yongjian Yang
Favorite | TC[WOS]:2 TC[Scopus]:3 | Submit date：2023/12/13
Deep Generative Models  Imputation  Missing Data  Missing Not At Random  Variational Autoencoder  
Multilevel Feature Fusion for End-to-End Blind Image Quality Assessment Journal article
Lan,Xuting, Zhou,Mingliang, Xu,Xueyong, Wei,Xuekai, Liao,Xingran, Pu,Huayan, Luo,Jun, Xiang,Tao, Fang,Bin, Shang,Zhaowei. Multilevel Feature Fusion for End-to-End Blind Image Quality Assessment[J]. IEEE Transactions on Broadcasting, 2023, 69(3), 801-811.
Authors:  Lan,Xuting;  Zhou,Mingliang;  Xu,Xueyong;  Wei,Xuekai;  Liao,Xingran; et al.
Favorite | TC[WOS]:15 TC[Scopus]:18  IF:3.2/3.6 | Submit date：2023/08/03
Blind Image Quality Assessment  Deep Learning  Distortion  Feature Extraction  Feature Extraction  Generative Adversarial Networks  Image Quality  Multilevel Feature Fusion  Predictive Models  Semantics