Transferable Knowledge Modeling
Transferable Knowledge Modeling is a scholarly framework that systematically represents knowledge structures or processes in a way that enables their effective adaptation and application across distinct domains, tasks, or contexts.
81
Publications
4.7K
Citations
312
Authors
131
Institutions
Publications per year
2017–2026
62
Parents
81
A Fourier-based Framework for Domain Generalization
Qinwei Xu, Ruipeng Zhang, Ya Zhang et al. · 2021 · 519 citations
ECG Heartbeat Classification: A Deep Transferable Representation
2018 · 426 citations · Full text
Transferable Interactiveness Knowledge for Human-Object Interaction Detection
Yong–Lu Li, Siyuan Zhou, Xijie Huang et al. · 2019 · 252 citations
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131

Chinese Academy of Sciences
Beijing, China
7 h-index
27 publications
961 citations
University of Chinese Academy of Sciences
Beijing, China
5 h-index
13 publications
385 citations
Peng Cheng Laboratory
Shenzhen, China
5 h-index
5 publications
216 citations
Tencent (China)
Shenzhen, China
5 h-index
7 publications
324 citations

Shanghai Jiao Tong University
Shanghai, China
4 h-index
22 publications
4.6K citations
Shandong Jiaotong University
Jinan, China
3 h-index
9 publications
2.1K citations

Harbin Institute of Technology
Harbin, China
3 h-index
10 publications
264 citations

Shenzhen University
Shenzhen, China
3 h-index
8 publications
264 citations
1–8 of 131
Repository · 6 publications · 161 citations
6
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4 publications · 264 citations
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TPAMI · 4 publications · 304 citations
4
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2 publications · 438 citations
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GRSL · 2 publications · 108 citations
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