Zobrazeno 1 - 10
of 1 454
pro vyhledávání: '"LIU Fusheng"'
Autor:
HOU Pengxiao (候朋晓), LI Ying (李影), LIU Fusheng (刘福生), REN Yaxing (任亚星), QIN Shasha (秦沙沙), HAN Jianping (韩建萍)
Publikováno v:
中西医结合护理, Vol 9, Iss 10, Pp 14-19 (2023)
Nurses in the Emergency departments of hospitals had faced great medical pressure and risks during COVID-19 epidemic. Emergency pre-examination and triage are important links in emergency nursing work. It is directly related to medical safety in scre
Externí odkaz:
https://doaj.org/article/67486b9fb0b541b6bb023e601e9a6d27
Autor:
WANG Huaxin (王华新), ZHOU Jie (周洁), TANG Ling (唐玲), WANG Xiao (王潇), GAO Bo (高波), LIU Guiying (刘桂英), SUN Mingli (孙明丽), CHEN Hong (陈宏), SHU Baozhen (舒宝珍), LIU Fusheng (刘福生)
Publikováno v:
中西医结合护理, Vol 8, Iss 3, Pp 101-105 (2022)
Objective To analyze the effect of training for medical caregivers, and provide reference for the standard training for medical caregivers. Methods A training group was established to formulate the teaching and training program, teaching objectives,
Externí odkaz:
https://doaj.org/article/f48f18097916457c812bf33432d94393
Collaborative machine learning (CML) provides a promising paradigm for democratizing advanced technologies by enabling cost-sharing among participants. However, the potential for rent-seeking behaviors among parties can undermine such collaborations.
Externí odkaz:
http://arxiv.org/abs/2412.11122
Autor:
Liu, Fusheng, Li, Qianxiao
Current methods for initializing state space model (SSM) parameters primarily rely on the HiPPO framework \citep{gu2023how}, which is based on online function approximation with the SSM kernel basis. However, the HiPPO framework does not explicitly a
Externí odkaz:
http://arxiv.org/abs/2411.19455
Domain generalization aims to develop models that are robust to distribution shifts. Existing methods focus on learning invariance across domains to enhance model robustness, and data augmentation has been widely used to learn invariant predictors, w
Externí odkaz:
http://arxiv.org/abs/2405.08586
Autor:
Liu, Fusheng, Li, Qianxiao
A State Space Model (SSM) is a foundation model in time series analysis, which has recently been shown as an alternative to transformers in sequence modeling. In this paper, we theoretically study the generalization of SSMs and propose improvements t
Externí odkaz:
http://arxiv.org/abs/2405.02670
Autor:
Ni, Xuejie, Li, Weijun, Xu, Zhong, Liu, Fusheng, Wang, Qun, Wan, Sinian, Li, Maojun, He, Hong
Publikováno v:
Industrial Lubrication and Tribology, 2024, Vol. 76, Issue 10, pp. 1308-1318.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/ILT-07-2024-0266
The emerging availability of trained machine learning models has put forward the novel concept of Machine Learning Model Market in which one can harness the collective intelligence of multiple well-trained models to improve the performance of the res
Externí odkaz:
http://arxiv.org/abs/2302.11751
Autor:
Dong, Yuqing1,2 (AUTHOR) dongyuqing@xjtu.edu.cn, Liu, Fusheng2,3 (AUTHOR) sunf@greatgz.cn
Publikováno v:
International Journal of Molecular Sciences. Dec2024, Vol. 25 Issue 24, p13396. 19p.
Publikováno v:
In Journal of Food Composition and Analysis January 2025 137 Part A