Zobrazeno 1 - 10
of 57
pro vyhledávání: '"Gao, Shangde"'
Recently, many foundation models for medical image analysis such as MedSAM, SwinUNETR have been released and proven to be useful in multiple tasks. However, considering the inherent heterogeneity and inhomogeneity of real-world medical data, directly
Externí odkaz:
http://arxiv.org/abs/2410.21085
Matrix factorization (MF) is a classical collaborative filtering algorithm for recommender systems. It decomposes the user-item interaction matrix into a product of low-dimensional user representation matrix and item representation matrix. In typical
Externí odkaz:
http://arxiv.org/abs/2308.04661
Knowledge amalgamation (KA) aims to learn a compact student model to handle the joint objective from multiple teacher models that are are specialized for their own tasks respectively. Current methods focus on coarsely aligning teachers and students i
Externí odkaz:
http://arxiv.org/abs/2307.14781
Although the effects of the social norm on mitigating misinformation are identified, scant knowledge exists about the patterns of social norm emergence, such as the patterns and variations of social tipping in online communities with diverse characte
Externí odkaz:
http://arxiv.org/abs/2301.00453
Autor:
Sun, Qinghui, Gu, Jie, Yang, Bei, Xu, XiaoXiao, Xu, Renjun, Gao, Shangde, Liu, Hong, Xu, Huan
User representation is essential for providing high-quality commercial services in industry. Universal user representation has received many interests recently, with which we can be free from the cumbersome work of training a specific model for each
Externí odkaz:
http://arxiv.org/abs/2109.08865
Autor:
Gao, Shangde, Wang, Yan
Publikováno v:
In Health and Place July 2024 88
Publikováno v:
In Information Sciences May 2024 669
During COVID-19, misinformation on social media affects the adoption of appropriate prevention behaviors. It is urgent to suppress the misinformation to prevent negative public health consequences. Although an array of studies has proposed misinforma
Externí odkaz:
http://arxiv.org/abs/2102.00976
Autor:
Gao, Shangde1 (AUTHOR), Wang, Yan1 (AUTHOR) yanw@ufl.edu
Publikováno v:
Scientific Reports. 10/5/2023, Vol. 13 Issue 1, p1-16. 16p.
Crowdsourcing the perceived urban built environment via social media: The case of underutilized land
Publikováno v:
In Advanced Engineering Informatics October 2021 50