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MaskCAE: Masked Convolutional AutoEncoder via Sensor Data Reconstruction for Self-Supervised Human Activity Recognition Journal article
Cheng, Dongzhou, Zhang, Lei, Qin, Lutong, Wang, Shuoyuan, Wu, Hao, Song, Aiguo. MaskCAE: Masked Convolutional AutoEncoder via Sensor Data Reconstruction for Self-Supervised Human Activity Recognition[J]. IEEE Journal of Biomedical and Health Informatics, 2024, 28(5), 2687-2698.
Authors:  Cheng, Dongzhou;  Zhang, Lei;  Qin, Lutong;  Wang, Shuoyuan;  Wu, Hao; et al.
Favorite | TC[WOS]:3 TC[Scopus]:4  IF:6.7/7.1 | Submit date：2024/05/16
Convolution  Convolutional Autoencoder  Data Models  Decoding  Feature Extraction  Human Activity Recognition  Human Activity Recognition  Masked Reconstruction  Self-supervised Learning  Self-supervised Learning  Sensor  Task Analysis  
The Image Data and Backbone in Weakly Supervised Fine-Grained Visual Categorization: A Revisit and Further Thinking Journal article
Ye,Shuo, Wang,Yu, Peng,Qinmu, You,Xinge, Philip Chen,C. L.. The Image Data and Backbone in Weakly Supervised Fine-Grained Visual Categorization: A Revisit and Further Thinking[J]. IEEE Transactions on Circuits and Systems for Video Technology, 2024, 34(1), 2-16.
Authors:  Ye,Shuo;  Wang,Yu;  Peng,Qinmu;  You,Xinge;  Philip Chen,C. L.
Favorite | TC[WOS]:4 TC[Scopus]:3  IF:8.3/7.1 | Submit date：2023/08/03
Training  Annotations  Visualization  Data Models  Birds  Automobiles  Analytical Models  Fine-grained Visual Categorization  Deep Learning  Weakly Supervised Learning  
Incentivizing Semisupervised Vehicular Federated Learning: A Multidimensional Contract Approach With Bounded Rationality Journal article
Ye Dongdong, Huang Xumin, Wu Yuan, Yu Rong. Incentivizing Semisupervised Vehicular Federated Learning: A Multidimensional Contract Approach With Bounded Rationality[J]. IEEE Internet of Things Journal, 2022, 9(19), 18573-18588.
Authors:  Ye Dongdong;  Huang Xumin;  Wu Yuan;  Yu Rong
Favorite | TC[WOS]:11 TC[Scopus]:20  IF:8.2/9.0 | Submit date：2022/05/17
Collaborative Work  Contracts  Convergence  Costs  Data Models  Multi-dimensional Contract Theory  Prospect Theory.  Semi-supervised Federated Learning  Servers  Training  Vehicular Edge Computing  
Novel deep supervised ML models with feature selection approach for large-scale utilities and buildings short and medium-term load requirement forecasts Journal article
Ahmad, Tanveer, Zhang, Hongcai. Novel deep supervised ML models with feature selection approach for large-scale utilities and buildings short and medium-term load requirement forecasts[J]. Energy, 2020, 209, 118477.
Authors:  Ahmad, Tanveer;  Zhang, Hongcai
Favorite | TC[WOS]:27 TC[Scopus]:34  IF:9.0/8.2 | Submit date：2021/09/09
Deep Supervised Learning Models  Multiple Feature Selection  Short & Medium-term Forecasting  Time Series  Utilities And Building Load  
A review on machine learning forecasting growth trends and their real-time applications in different energy systems Review article
2020
Authors:  Ahmad, Tanveer;  Chen, Huanxin
Favorite | TC[WOS]:99 TC[Scopus]:132  IF:10.5/10.0 | Submit date：2021/12/06
Forecasting  Load Demand Prediction  Machine Learning  Real-time Applications  Renewable Energy Forecasting  Supervised Models