Zobrazeno 1 - 10
of 716
pro vyhledávání: '"Qiao,Tong"'
Autor:
Zhou, Ao, Yang, Jianlei, Qi, Yingjie, Qiao, Tong, Shi, Yumeng, Duan, Cenlin, Zhao, Weisheng, Hu, Chunming
Graph Neural Networks (GNNs) are becoming increasingly popular for graph-based learning tasks such as point cloud processing due to their state-of-the-art (SOTA) performance. Nevertheless, the research community has primarily focused on improving mod
Externí odkaz:
http://arxiv.org/abs/2408.12840
Autor:
Qiao, Tong, Yang, Jianlei, Qi, Yingjie, Zhou, Ao, Bai, Chen, Yu, Bei, Zhao, Weisheng, Hu, Chunming
Graph Neural Networks (GNNs) succeed significantly in many applications recently. However, balancing GNNs training runtime cost, memory consumption, and attainable accuracy for various applications is non-trivial. Previous training methodologies suff
Externí odkaz:
http://arxiv.org/abs/2404.09544
The key to device-edge co-inference paradigm is to partition models into computation-friendly and computation-intensive parts across the device and the edge, respectively. However, for Graph Neural Networks (GNNs), we find that simply partitioning wi
Externí odkaz:
http://arxiv.org/abs/2404.05605
Graph neural networks (GNNs) have gained significant popularity due to the powerful capability to extract useful representations from graph data. As the need for efficient GNN computation intensifies, a variety of programming abstractions designed fo
Externí odkaz:
http://arxiv.org/abs/2310.12184
Graph neural networks (GNNs) have emerged as a popular strategy for handling non-Euclidean data due to their state-of-the-art performance. However, most of the current GNN model designs mainly focus on task accuracy, lacking in considering hardware r
Externí odkaz:
http://arxiv.org/abs/2303.10875
Publikováno v:
Frontiers in Cardiovascular Medicine, Vol 11 (2024)
ObjectiveTo develop and validate a new prediction model based on the Lass-logistic regression with inflammatory serologic markers for the assessment of carotid plaque stability, providing clinicians with a reliable tool for risk stratification and de
Externí odkaz:
https://doaj.org/article/f8f7fd66d1fa43e797f642eeebf00ffc
Publikováno v:
PLoS Computational Biology, Vol 20, Iss 10, p e1012034 (2024)
Zebrafish collective behaviour is widely used to assess their physical and mental state, serving as a valuable tool to assess the impact of ageing, disease genetics, and the effect of drugs. The essence of these macroscopic phenomena can be represent
Externí odkaz:
https://doaj.org/article/3eade64344cc4b4bb22103e3bc6c5f34
Autor:
He, Qiao-Tong, Qian, Peipei, Yang, Xin-Yi, Kuang, Qiancheng, Lin, Yue-Ting, Yi, Wei, Tian, Tianzhao, Cai, Yue-Peng, Hong, Xu-Jia
Publikováno v:
In Chemical Engineering Journal 1 August 2024 493
Autor:
Qiao, Tong, Ding, Binhua, Dai, Weixing, Wang, Qiming, Cheng, Guoguang, Zhang, Yanling, Gao, Yuan
Publikováno v:
In Engineering Failure Analysis July 2024 161
Autor:
Shu, Chang, Fang, Kun, Chen, Dong, Liu, Xunqiang, Gao, Yongsheng, Huang, Jianhua, Zhang, Xiwei, Qiao, Tong, Dai, Xiangchen, Zhou, Weimin, Han, Tao, Zhang, Xiaoming, Jiang, Weiliang, Chen, Liangwan, Luo, Mingyao, Li, Quanming
Publikováno v:
In Annals of Vascular Surgery July 2024 104:315-323