Zobrazeno 1 - 10
of 2 604
pro vyhledávání: '"Li Yuhong"'
Publikováno v:
Acta Biochimica et Biophysica Sinica, Vol 55, Pp 225-236 (2022)
Breast cancer is the most commonly diagnosed cancer worldwide. Previously, we reported that calycosin, a typical isoflavone phytoestrogen, triggers apoptosis and is associated with lncRNA HOTAIR in the estrogen receptor (ER)-positive breast cancer MC
Externí odkaz:
https://doaj.org/article/0fbb554413054dcd82f6b18f7ab17ee8
Autor:
Huang, Yingbing, Wan, Lily Jiaxin, Ye, Hanchen, Jha, Manvi, Wang, Jinghua, Li, Yuhong, Zhang, Xiaofan, Chen, Deming
Large Language Models (LLMs) have become extremely potent instruments with exceptional capacities for comprehending and producing human-like text in a wide range of applications. However, the increasing size and complexity of LLMs present significant
Externí odkaz:
http://arxiv.org/abs/2406.10903
Autor:
Zheng, Zhuonan, Zhou, Sheng, Xu, Hongjia, Gu, Ming, Xu, Yilun, Li, Ao, Li, Yuhong, Gu, Jingjun, Bu, Jiajun
Graph Neural Networks (GNNs) have achieved remarkable success in various graph mining tasks by aggregating information from neighborhoods for representation learning. The success relies on the homophily assumption that nearby nodes exhibit similar be
Externí odkaz:
http://arxiv.org/abs/2405.20640
Publikováno v:
Di-san junyi daxue xuebao, Vol 41, Iss 4, Pp 353-359 (2019)
Objective To investigate the differentially methylated genes between patients with anti-tuberculosis drug induced liver injury (ADLI) and patients without hepatic injury using DNA methylation microarrays and explore the relationship between DNA methy
Externí odkaz:
https://doaj.org/article/06610c50684d43ee88739ed1de941591
Autor:
Li, Yuhong, Huang, Yingbing, Yang, Bowen, Venkitesh, Bharat, Locatelli, Acyr, Ye, Hanchen, Cai, Tianle, Lewis, Patrick, Chen, Deming
Large Language Models (LLMs) have made remarkable progress in processing extensive contexts, with the Key-Value (KV) cache playing a vital role in enhancing their performance. However, the growth of the KV cache in response to increasing input length
Externí odkaz:
http://arxiv.org/abs/2404.14469
Autor:
Cai, Tianle, Li, Yuhong, Geng, Zhengyang, Peng, Hongwu, Lee, Jason D., Chen, Deming, Dao, Tri
Large Language Models (LLMs) employ auto-regressive decoding that requires sequential computation, with each step reliant on the previous one's output. This creates a bottleneck as each step necessitates moving the full model parameters from High-Ban
Externí odkaz:
http://arxiv.org/abs/2401.10774
With the increase in software vulnerabilities that cause significant economic and social losses, automatic vulnerability detection has become essential in software development and maintenance. Recently, large language models (LLMs) like GPT have rece
Externí odkaz:
http://arxiv.org/abs/2308.12697
Autor:
Lu, Yanjie, Cheng, Die, Pang, Jiayu, Peng, Yuqiao, Jin, Shunkang, Zhang, Xinyu, Li, Yuhong, Zuo, Yanzhen
Publikováno v:
Cell Stress & Chaperones, 2024 Jan 01. 29(1), 201-215.
Externí odkaz:
https://www.jstor.org/stable/48771909
Publikováno v:
International Journal of Clothing Science and Technology, 2024, Vol. 36, Issue 3, pp. 434-453.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/IJCST-12-2022-0165
Conditioned diffusion models have demonstrated state-of-the-art text-to-image synthesis capacity. Recently, most works focus on synthesizing independent images; While for real-world applications, it is common and necessary to generate a series of coh
Externí odkaz:
http://arxiv.org/abs/2211.10950