Zobrazeno 1 - 10
of 547
pro vyhledávání: '"Zhang Zhenhao"'
Exploring moral dilemmas allows individuals to navigate moral complexity, where a reversal in decision certainty, shifting toward the opposite of one's initial choice, could reflect open-mindedness and less rigidity. This study probes how nonverbal e
Externí odkaz:
http://arxiv.org/abs/2412.15834
Autor:
Zhang, Zhenhao
In our paper,we focus on robust variable selection for missing data and measurement error.Missing data and measurement errors can lead to confusing data distribution.We propose an exponential loss function with tuning parameter to apply to Missing an
Externí odkaz:
http://arxiv.org/abs/2410.16722
Autor:
Ding, Shutong, Hu, Ke, Zhang, Zhenhao, Ren, Kan, Zhang, Weinan, Yu, Jingyi, Wang, Jingya, Shi, Ye
Diffusion models have garnered widespread attention in Reinforcement Learning (RL) for their powerful expressiveness and multimodality. It has been verified that utilizing diffusion policies can significantly improve the performance of RL algorithms
Externí odkaz:
http://arxiv.org/abs/2405.16173
Autor:
Zheng, Jieyu, Zhu, Haoliang, Dong, Yifan, Song, Zhenyu, Zhang, Zhenhao, Yang, Yafang, Zhao, Yunlei
TLS is extensively utilized for secure data transmission over networks. However, with the advent of quantum computers, the security of TLS based on traditional public-key cryptography is under threat. To counter quantum threats, it is imperative to i
Externí odkaz:
http://arxiv.org/abs/2404.13544
Autor:
Liu, Yuxi, Zhang, Zhenhao, Qin, Shaowen, Salim, Flora D., Yepes, Antonio Jimeno, Shen, Jun, Bian, Jiang
The Intensive Care Unit (ICU) is one of the most important parts of a hospital, which admits critically ill patients and provides continuous monitoring and treatment. Various patient outcome prediction methods have been attempted to assist healthcare
Externí odkaz:
http://arxiv.org/abs/2308.12575
Predicting the risk of in-hospital mortality from electronic health records (EHRs) has received considerable attention. Such predictions will provide early warning of a patient's health condition to healthcare professionals so that timely interventio
Externí odkaz:
http://arxiv.org/abs/2308.09896
Autor:
Zhang, Zhenhao1,2 (AUTHOR), Liu, Yuxi3 (AUTHOR), Xiao, Meichen1 (AUTHOR), Wang, Kun1 (AUTHOR), Huang, Yu3 (AUTHOR), Bian, Jiang3 (AUTHOR), Yang, Ruolin1 (AUTHOR) desert.ruolin@gmail.com, Li, Fuyi2 (AUTHOR) desert.ruolin@gmail.com
Publikováno v:
Briefings in Bioinformatics. Nov2024, Vol. 25 Issue 6, p1-15. 15p.
Predicting the health risks of patients using Electronic Health Records (EHR) has attracted considerable attention in recent years, especially with the development of deep learning techniques. Health risk refers to the probability of the occurrence o
Externí odkaz:
http://arxiv.org/abs/2211.06045
Electronic Health Records (EHRs) exhibit a high amount of missing data due to variations of patient conditions and treatment needs. Imputation of missing values has been considered an effective approach to deal with this challenge. Existing work sepa
Externí odkaz:
http://arxiv.org/abs/2208.01320
Autor:
Zhang, Zhenhao, Wang, Yi, Huang, Yanqiu, Karkri, Mustapha, Tankari, Mahamadou Abdou, Ibos, Laurent
Publikováno v:
In Optical Materials January 2025 158