Zobrazeno 1 - 10
of 899
pro vyhledávání: '"GENG Xue"'
Autor:
ZHANG Qiannan, LI Yongning, LIANG Chunlai, FANG Jin, SUN Nana, GENG Xue, ZHANG Xiaopeng, JIA Xudong
Publikováno v:
Zhongguo shipin weisheng zazhi, Vol 34, Iss 5, Pp 889-895 (2022)
ObjectiveTo establish the Food Toxicology Database （FoodTox）.MethodsA food toxicology database website was established. The priority list of the database was determined. The toxicological data of related substances through literature search was c
Externí odkaz:
https://doaj.org/article/ee78fb5fedb54b5cb8d0603d10b8f524
Autor:
Xu, Kaixin, Feng, Qingtian, Chen, Hao, Wang, Zhe, Geng, Xue, Yang, Xulei, Wu, Min, Li, Xiaoli, Lin, Weisi
Applying deep neural networks to 3D point cloud processing has attracted increasing attention due to its advanced performance in many areas, such as AR/VR, autonomous driving, and robotics. However, as neural network models and 3D point clouds expand
Externí odkaz:
http://arxiv.org/abs/2407.02098
Autor:
Xu, Kaixin, Wang, Zhe, Chen, Chunyun, Geng, Xue, Lin, Jie, Yang, Xulei, Wu, Min, Li, Xiaoli, Lin, Weisi
Vision transformers have emerged as a promising alternative to convolutional neural networks for various image analysis tasks, offering comparable or superior performance. However, one significant drawback of ViTs is their resource-intensive nature,
Externí odkaz:
http://arxiv.org/abs/2407.02068
Autor:
Geng, Xue, Wang, Zhe, Chen, Chunyun, Xu, Qing, Xu, Kaixin, Jin, Chao, Gupta, Manas, Yang, Xulei, Chen, Zhenghua, Aly, Mohamed M. Sabry, Lin, Jie, Wu, Min, Li, Xiaoli
Deep neural networks (DNNs) have been widely used in many artificial intelligence (AI) tasks. However, deploying them brings significant challenges due to the huge cost of memory, energy, and computation. To address these challenges, researchers have
Externí odkaz:
http://arxiv.org/abs/2405.06038
Publikováno v:
Applied Sciences, Vol 11, Iss 20, p 9517 (2021)
To investigate the aerodynamic characteristics of a twin-box girder in turbulent incoming flow, we carried out wind tunnel tests, including two aerodynamic interferences: leading body-height grid, and leading circular cylinder. In this study, the pre
Externí odkaz:
https://doaj.org/article/9f136e43ee134003a276577e109ee700
In this paper, we propose a novel layer-adaptive weight-pruning approach for Deep Neural Networks (DNNs) that addresses the challenge of optimizing the output distortion minimization while adhering to a target pruning ratio constraint. Our approach t
Externí odkaz:
http://arxiv.org/abs/2308.10438
Autor:
Sui, Xiuchao, Li, Shaohua, Geng, Xue, Wu, Yan, Xu, Xinxing, Liu, Yong, Goh, Rick, Zhu, Hongyuan
Optical flow estimation aims to find the 2D motion field by identifying corresponding pixels between two images. Despite the tremendous progress of deep learning-based optical flow methods, it remains a challenge to accurately estimate large displace
Externí odkaz:
http://arxiv.org/abs/2203.16896
Publikováno v:
In Applied Soft Computing November 2024 166
Autor:
Wu, Dongzhe, Huang, Peng, Geng, Xue, Qu, Chaoyi, Rao, Zhijian, Zhang, Jianhong, Shen, Yulin, Wei, Qiangman, Liu, Shijie, Zhao, Jiexiu
Publikováno v:
In Journal of Exercise Science & Fitness October 2024 22(4):445-455
Autor:
Wang, Jiafei, Qu, Rongjun, Wang, Qianyi, Ren, Bingjie, Ma, Fang, Li, Xinyu, Zhang, Ying, Wang, Ying, Sun, Changmei, Song, Xiquan, Ma, Qianli, Jiang, Ming, Geng, Xue
Publikováno v:
In Surfaces and Interfaces October 2024 53