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CASIA OpenIR
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Black swan event small-sample transfer learning (BEST-L) and its case study on electrical power prediction in COVID-19 期刊论文
APPLIED ENERGY, 2022, 卷号: 309, 页码: 10
作者:  Hu, Chenxi;  Zhang, Jun;  Yuan, Hongxia;  Gao, Tianlu;  Jiang, Huaiguang;  Yan, Jing;  Gao, David Wenzhong;  Wang, Fei-Yue
收藏  |  浏览/下载：176/0  |  提交时间：2022/07/25
Transfer learning  Black swan event  Small-sample learning  COVID-19  Load forecasting  
Pay attention to doctor & ndash;patient dialogues: Multi-modal knowledge graph attention image-text embedding for COVID-19 diagnosis 期刊论文
INFORMATION FUSION, 2021, 卷号: 75, 页码: 168-185
作者:  Zheng, Wenbo;  Yan, Lan;  Gou, Chao;  Zhang, Zhi-Cheng;  Zhang, Jun Jason;  Hu, Ming;  Wang, Fei-Yue
收藏  |  浏览/下载：239/0  |  提交时间：2021/11/02
COVID-19 diagnose  Knowledge attention mechanism  Knowledge-based representation learning  Knowledge embedding  
A novel framework of collaborative early warning for COVID-19 based on blockchain and smart contracts 期刊论文
INFORMATION SCIENCES, 2021, 卷号: 570, 页码: 124-143
作者:  Ouyang, Liwei;  Yuan, Yong;  Cao, Yumeng;  Wang, Fei-Yue
Adobe PDF(1322Kb)  |  收藏  |  浏览/下载：276/58  |  提交时间：2021/08/15
Blockchain  Smart contracts  Federated learning  Learning markets  Collaborative early warning  
Learning to learn by yourself: Unsupervised meta-learning with self-knowledge distillation for COVID-19 diagnosis from pneumonia cases 期刊论文
INTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS, 2021, 页码: 32
作者:  Zheng, Wenbo;  Yan, Lan;  Gou, Chao;  Zhang, Zhi-Cheng;  Zhang, Jun J.;  Hu, Ming;  Wang, Fei-Yue
收藏  |  浏览/下载：227/0  |  提交时间：2021/06/15
biomedical imaging  COVID‐  19  knowledge distillation  meta‐  learning  unsupervised learning