Zobrazeno 1 - 10
of 979
pro vyhledávání: '"Sun Jiaqi"'
Autor:
Hong Chengang, Wang Liping, Wang Shujin, Chen Chen, Yang Jiayue, Lu Jingjing, Hua Shujie, Wu Jieming, Yao Liyan, Zeng Ni, Chu Jinhui, Sun Jiaqi
Publikováno v:
BMC Nursing, Vol 23, Iss 1, Pp 1-12 (2024)
Abstract Background None of the early M-Health applications are designed for case management care services. This study aims to describe the process of developing a M-health component for the case management model in breast cancer transitional care an
Externí odkaz:
https://doaj.org/article/a92aa8bda4874792ae6e927756180040
Publikováno v:
电力工程技术, Vol 43, Iss 3, Pp 130-139 (2024)
Aiming at the randomness and uncertainty in the spatio-temporal distribution prediction of electric vehicle charging load, a method for electric vehicle load prediction that integrates travel chain theory and actual geographic information is proposed
Externí odkaz:
https://doaj.org/article/3e3325b362df4a5aa6b4bc9f2d17d7b6
Autor:
SUN Jiaqi, WANG Yudong
Publikováno v:
Zhongliu Fangzhi Yanjiu, Vol 51, Iss 3, Pp 203-209 (2024)
Liver is the common site for metastasis and spread of non-small cell lung cancer (NSCLC). Lung cancer patients with liver metastasis have poor prognosis, which may be related to liver-specific microenvironment composition. The metastasis of lung canc
Externí odkaz:
https://doaj.org/article/705c4e0ff753482b9c0616ea6cfc4c80
Autor:
Chen, Bobby, Chen, Siyu, Dowlatabadi, Jason, Hong, Yu Xuan, Iyer, Vinayak, Mantripragada, Uday, Narang, Rishabh, Pandey, Apoorv, Qin, Zijun, Sheikh, Abrar, Sun, Hongtao, Sun, Jiaqi, Walker, Matthew, Wei, Kaichen, Xu, Chen, Yang, Jingnan, Zhang, Allen T., Zhang, Guoqing
Budget allocation of marketplace levers, such as incentives for drivers and promotions for riders, has long been a technical and business challenge at Uber; understanding lever budget changes' impact and estimating cost efficiency to achieve predefin
Externí odkaz:
http://arxiv.org/abs/2407.19078
Recent works have introduced GNN-to-MLP knowledge distillation (KD) frameworks to combine both GNN's superior performance and MLP's fast inference speed. However, existing KD frameworks are primarily designed for node classification within single gra
Externí odkaz:
http://arxiv.org/abs/2406.19832
Knowledge Graph Completion (KGC) has emerged as a promising solution to address the issue of incompleteness within Knowledge Graphs (KGs). Traditional KGC research primarily centers on triple classification and link prediction. Nevertheless, we conte
Externí odkaz:
http://arxiv.org/abs/2404.09897
Bilinear based models are powerful and widely used approaches for Knowledge Graphs Completion (KGC). Although bilinear based models have achieved significant advances, these studies mainly concentrate on posterior properties (based on evidence, e.g.
Externí odkaz:
http://arxiv.org/abs/2309.13834
Subgraph matching is a fundamental building block for graph-based applications and is challenging due to its high-order combinatorial nature. Existing studies usually tackle it by combinatorial optimization or learning-based methods. However, they su
Externí odkaz:
http://arxiv.org/abs/2306.06380
Neural architecture search (NAS) for Graph neural networks (GNNs), called NAS-GNNs, has achieved significant performance over manually designed GNN architectures. However, these methods inherit issues from the conventional NAS methods, such as high c
Externí odkaz:
http://arxiv.org/abs/2305.14065
Graph neural networks aim to learn representations for graph-structured data and show impressive performance, particularly in node classification. Recently, many methods have studied the representations of GNNs from the perspective of optimization go
Externí odkaz:
http://arxiv.org/abs/2305.06142