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FedEKT: Ensemble Knowledge Transfer for Model-Heterogeneous Federated Learning Conference paper
Meihan Wu, Li Li, Tao Chang, Peng Qiao, Cui Miao, Jie Zhou, Jingnan Wang, Xiaodong Zhang. FedEKT: Ensemble Knowledge Transfer for Model-Heterogeneous Federated Learning[C]:Institute of Electrical and Electronics Engineers Inc., 2024, 202971.
Authors:  Meihan Wu;  Li Li;  Tao Chang;  Peng Qiao;  Cui Miao; et al.
Favorite | TC[WOS]:0 TC[Scopus]:0 | Submit date:2024/08/29
Federated Learning  Knowledge Transfer  Model Heterogeneity  
Can Low-Carbon Technological Innovation Reduce Haze Pollution?—Based on Spatial Econometric Analysis Journal article
Shunlin Jin, Weidong Wang, Sikandar Ali Qalati, Caijing Zhang, Na Lu, Guyu Zhu, Jiahui Wu. Can Low-Carbon Technological Innovation Reduce Haze Pollution?—Based on Spatial Econometric Analysis[J]. Frontiers in Environmental Science, 2022, 10, 893194.
Authors:  Shunlin Jin;  Weidong Wang;  Sikandar Ali Qalati;  Caijing Zhang;  Na Lu; et al.
Favorite | TC[WOS]:8 TC[Scopus]:9  IF:3.3/3.7 | Submit date:2022/08/02
Low-carbon Tech-innovation  Haze Pollution  Technological Heterogeneity  Spatial Spillover Effect  Dynamic Spatial Durbin Model  
Fusion convolutional neural network-based interpretation of unobserved heterogeneous factors in driver injury severity outcomes in single-vehicle crashes Journal article
Yu, Hao, Li, Zhenning, Zhang, Guohui, Liu, Pan, Ma, Tianwei. Fusion convolutional neural network-based interpretation of unobserved heterogeneous factors in driver injury severity outcomes in single-vehicle crashes[J]. Analytic Methods in Accident Research, 2021, 30, 100157.
Authors:  Yu, Hao;  Li, Zhenning;  Zhang, Guohui;  Liu, Pan;  Ma, Tianwei
Favorite | TC[WOS]:27 TC[Scopus]:27  IF:12.5/12.3 | Submit date:2021/12/08
Deep Neural Network  Driver Injury Severity  Heterogeneity  Model Interpretation  
Seismic attenuation relationship with homogeneous and heterogeneous prediction-error variance models Journal article
He-Qing Mu, Rong-Rong Xu, Ka-Veng Yuen. Seismic attenuation relationship with homogeneous and heterogeneous prediction-error variance models[J]. Earthquake Engineering and Engineering Vibration, 2014, 13(1), 1-11.
Authors:  He-Qing Mu;  Rong-Rong Xu;  Ka-Veng Yuen
Favorite | TC[WOS]:20 TC[Scopus]:21  IF:2.6/2.6 | Submit date:2018/11/06
Bayesian Inference  Boore-joyner-fumal Formula  Heterogeneity Variance  Input-dependent Variance  Model Class Selection  Peak Ground Acceleration  Seismic Attenuation