Source Domain Selection
Source Domain Selection is the process of identifying and choosing a domain with abundant labeled data that shares transferable knowledge or relational structure with the target domain, enabling effective cross-domain recommendation through transfer learning.
62
Publications
3K
Citations
237
Authors
109
Institutions
Publications per year
2017–2026
41
62
Deep Transfer Learning for Cross-domain Activity Recognition
Jindong Wang, Vincent W. Zheng, Yiqiang Chen et al. · 2018 · 141 citations
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109

Chinese Academy of Sciences
Beijing, China
5 h-index
16 publications
807 citations
The University of Texas at San Antonio
San Antonio, United States
3 h-index
3 publications
183 citations
Institute of Computing Technology
Beijing, China
3 h-index
7 publications
738 citations
Hangzhou Dianzi University
Hangzhou, China
3 h-index
12 publications
573 citations
University of Chinese Academy of Sciences
Beijing, China
3 h-index
7 publications
329 citations
China Academy of Space Technology
Beijing, China
3 h-index
3 publications
241 citations
Nanyang Technological University
Singapore, Singapore
3 h-index
4 publications
510 citations

Zhejiang University
Hangzhou, China
3 h-index
8 publications
244 citations
1–8 of 109
Repository · 3 publications · 60 citations
3
h-index
3 publications · 138 citations
3
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2 publications · 58 citations
2
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2 publications · 134 citations
2
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TFS · 2 publications · 198 citations
2
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1–5