Zobrazeno 1 - 10
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pro vyhledávání: '"LI, MENGYAN"'
Covariate shift and outcome model heterogeneity are two prominent challenges in leveraging external sources to improve risk modeling for underrepresented cohorts in paucity of accurate labels. We consider the transfer learning problem targeting some
Externí odkaz:
http://arxiv.org/abs/2410.06484
Autor:
Li, Haoyuan, Jiang, Hao, Jin, Tao, Li, Mengyan, Chen, Yan, Lin, Zhijie, Zhao, Yang, Zhao, Zhou
Product Retrieval (PR) and Grounding (PG), aiming to seek image and object-level products respectively according to a textual query, have attracted great interest recently for better shopping experience. Owing to the lack of relevant datasets, we col
Externí odkaz:
http://arxiv.org/abs/2304.03669
In this work, we propose a Semi-supervised Triply Robust Inductive transFer LEarning (STRIFLE) approach, which integrates heterogeneous data from a label-rich source population and a label-scarce target population and utilizes a large amount of unlab
Externí odkaz:
http://arxiv.org/abs/2209.04977
Due to label scarcity and covariate shift happening frequently in real-world studies, transfer learning has become an essential technique to train models generalizable to some target populations using existing labeled source data. Most existing trans
Externí odkaz:
http://arxiv.org/abs/2208.05134
Autor:
Li, Mengyan, Wang, Hua, Zhao, Huihai, Jiang, Mengyu, Cui, Mengge, Jia, Keran, Lei, Daxin, Wang, Fukun
Publikováno v:
In Heliyon 15 October 2024 10(19)
Publikováno v:
In Water Research 1 October 2024 263
Publikováno v:
In Optics Communications 1 January 2025 574
Autor:
Di, Longjiang1 (AUTHOR), Li, Mengyan2 (AUTHOR), Lei, Xianli3 (AUTHOR), Xie, Wenting4 (AUTHOR), Liu, Guoqiang4 (AUTHOR), Wang, Yongqing5 (AUTHOR), Zhang, Wenjing4 (AUTHOR) wenjingzhang@hrbmu.edu.cn, Zhu, Wei-Guo1,2,6,7 (AUTHOR) zhuweiguo@szu.edu.cn
Publikováno v:
Scientific Reports. 7/29/2024, Vol. 14 Issue 1, p1-21. 21p.
Publikováno v:
In Water Research 15 September 2024 262
Publikováno v:
In Water Research 1 May 2024 254