Zobrazeno 1 - 10
of 230
pro vyhledávání: '"Dai, Zhenwei"'
Autor:
Xu, Ran, Liu, Hui, Nag, Sreyashi, Dai, Zhenwei, Xie, Yaochen, Tang, Xianfeng, Luo, Chen, Li, Yang, Ho, Joyce C., Yang, Carl, He, Qi
Retrieval-augmented generation (RAG) enhances the question-answering (QA) abilities of large language models (LLMs) by integrating external knowledge. However, adapting general-purpose RAG systems to specialized fields such as science and medicine po
Externí odkaz:
http://arxiv.org/abs/2410.17952
Autor:
Luo, Chen, Tang, Xianfeng, Lu, Hanqing, Xie, Yaochen, Liu, Hui, Dai, Zhenwei, Cui, Limeng, Joshi, Ashutosh, Nag, Sreyashi, Li, Yang, Li, Zhen, Goutam, Rahul, Tang, Jiliang, Zhang, Haiyang, He, Qi
Online shopping platforms, such as Amazon, offer services to billions of people worldwide. Unlike web search or other search engines, product search engines have their unique characteristics, primarily featuring short queries which are mostly a combi
Externí odkaz:
http://arxiv.org/abs/2408.02215
Publikováno v:
Zhongguo quanke yixue, Vol 27, Iss 10, Pp 1194-1200 (2024)
Background The risk of diabetes mellitus can increase with age, and the prevalence of prediabetes and diabetes mellitus in the middle-aged and elderly adults is 40% and 10%, respectively. Good adherence to blood glucose monitoring improves the rate o
Externí odkaz:
https://doaj.org/article/fb85c059707045cc9a0eab649c3b76af
Autor:
Dai, Zhenwei, Ioannidis, Vasileios, Adeshina, Soji, Jost, Zak, Faloutsos, Christos, Karypis, George
What target labels are most effective for graph neural network (GNN) training? In some applications where GNNs excel-like drug design or fraud detection, labeling new instances is expensive. We develop a data-efficient active sampling framework, Scat
Externí odkaz:
http://arxiv.org/abs/2206.04255
Autor:
Xin, You, Ren, Tianrui, Chen, Xu, Liu, Xin, Wu, Yijin, Jing, Shu, Zhang, Ling, Dai, Zhenwei, Wang, Ye, Su, Xiaoyou
Publikováno v:
In Comprehensive Psychoneuroendocrinology November 2024 20
Federated learning enables many local devices to train a deep learning model jointly without sharing the local data. Currently, most of federated training schemes learns a global model by averaging the parameters of local models. However, most of the
Externí odkaz:
http://arxiv.org/abs/2110.12292
Autor:
Zhang, Ling, Wu, Yijin, Jing, Shu, Liu, Xin, Ren, Tianrui, Liu, Xiaoyang, Dai, Zhenwei, Fu, Jiaqi, Chen, Xu, Xiao, Weijun, Huang, Yiman, Wang, Hao, Wang, Wenjun, Gu, Xiaofen, Ma, Li, Zhang, Shaokai, Yu, Yanqin, Li, Li, Su, Xiaoyou, Qiao, Youlin
Publikováno v:
In AJIC: American Journal of Infection Control May 2024 52(5):525-532
Autor:
Wu, Yijin, Dai, Zhenwei, Jing, Shu, Liu, Xin, Zhang, Ling, Liu, Xiaoyang, Ren, Tianrui, Fu, Jiaqi, Chen, Xu, Xiao, Weijun, Wang, Hao, Huang, Yiman, Wang, Wenjun, Gu, Xiaofen, Ma, Li, Zhang, Shaokai, Yu, Yanqin, Li, Li, Han, Zhili, Su, Xiaoyou, Qiao, Youlin
Publikováno v:
In Journal of Affective Disorders 1 March 2024 348:70-77
Autor:
Dai, Zhenwei1 (AUTHOR), Wu, Yijin1 (AUTHOR), Liu, Xin1 (AUTHOR), Fu, Jiaqi1 (AUTHOR), Si, Mingyu1 (AUTHOR), Chen, Xu1 (AUTHOR), Wang, Hao1 (AUTHOR), Xiao, Weijun1 (AUTHOR), Huang, Yiman1 (AUTHOR), Yu, Fei2 (AUTHOR), Mi, Guodong2 (AUTHOR), Su, Xiaoyou1 (AUTHOR) suxiaoyou@hotmail.com
Publikováno v:
Brain & Behavior. Apr2024, Vol. 14 Issue 4, p1-14. 14p.
Estimating and storing the covariance (or correlation) matrix of high-dimensional data is computationally challenging because both memory and computational requirements scale quadratically with the dimension. Fortunately, high-dimensional covariance
Externí odkaz:
http://arxiv.org/abs/2010.15951