Zobrazeno 1 - 10
of 164
pro vyhledávání: '"Zhao Yihao"'
Publikováno v:
Frontiers in Public Health, Vol 10 (2023)
ObjectivesChina has implemented an equalization of public health Services policy for migrants in 40 pilot cities since 2013. The main objective of this study is to explore the effect of this migrant-based reform policy on the health status of the mig
Externí odkaz:
https://doaj.org/article/113bde7b086848d1b5f59847f043a755
Autor:
Zhao, Yihao, Zhong, Enhao, Yuan, Cuiyun, Li, Yang, Zhao, Man, Li, Chunxia, Hu, Jun, Liu, Chenbin
We propose TG-LMM (Text-Guided Large Multi-Modal Model), a novel approach that leverages textual descriptions of organs to enhance segmentation accuracy in medical images. Existing medical image segmentation methods face several challenges: current m
Externí odkaz:
http://arxiv.org/abs/2409.03412
Autor:
Zhao, Yihao, Yuan, Cuiyun, Liang, Ying, Li, Yang, Li, Chunxia, Zhao, Man, Hu, Jun, Liu, Wei, Liu, Chenbin
The delineation of tumor target and organs-at-risk is critical in the radiotherapy treatment planning. Automatic segmentation can be used to reduce the physician workload and improve the consistency. However, the quality assurance of the automatic se
Externí odkaz:
http://arxiv.org/abs/2405.11732
Publikováno v:
J. Chem. Phys. 161, 054102 (2024)
An outstanding property of any Hamiltonian system is the symplecticity of its flow, namely, the continuous trajectory preserves volume in phase space. Given a symplectic but discrete trajectory generated by a transition matrix applied at a fixed time
Externí odkaz:
http://arxiv.org/abs/2405.07410
Autor:
Xu, Mengwei, Yin, Wangsong, Cai, Dongqi, Yi, Rongjie, Xu, Daliang, Wang, Qipeng, Wu, Bingyang, Zhao, Yihao, Yang, Chen, Wang, Shihe, Zhang, Qiyang, Lu, Zhenyan, Zhang, Li, Wang, Shangguang, Li, Yuanchun, Liu, Yunxin, Jin, Xin, Liu, Xuanzhe
Large foundation models, including large language models (LLMs), vision transformers (ViTs), diffusion, and LLM-based multimodal models, are revolutionizing the entire machine learning lifecycle, from training to deployment. However, the substantial
Externí odkaz:
http://arxiv.org/abs/2401.08092
Autor:
Zhao, Yihao, Liu, Xin, Liu, Shufan, Li, Xiang, Zhu, Yibo, Huang, Gang, Liu, Xuanzhe, Jin, Xin
Large-scale GPU clusters are widely-used to speed up both latency-critical (online) and best-effort (offline) deep learning (DL) workloads. However, most DL clusters either dedicate each GPU to one workload or share workloads in time, leading to very
Externí odkaz:
http://arxiv.org/abs/2303.13803
Autor:
Wu, Songyang, Wang, Bingzhu, Guo, Haonan, Li, Ruorou, Zhao, Yihao, Xie, Changxiang, Wang, Haiwang
Publikováno v:
In Applied Surface Science 30 October 2024 671
Publikováno v:
In Journal of Affective Disorders 15 October 2024 363:445-455
Autor:
Zhao, Yihao, Wang, Bingzhu, Fang, Qimin, Wu, Songyang, Ma, Yuan, Xie, Changxiang, Wang, Haiwang
Publikováno v:
In Journal of Environmental Chemical Engineering October 2024 12(5)
Autor:
Shen, Kaixuan, Zhao, Han, Zhao, Yihao, Wang, Xiaoxiang, Cheng, Ping, Yao, Congfei, Zhang, Jie, Yang, Yongpeng, Huang, Weijia
Publikováno v:
In Journal of Molecular Structure 15 April 2024 1302