Zobrazeno 1 - 10
of 396
pro vyhledávání: '"Huang, Qiuping"'
Deep learning (DL) based channel state information (CSI) feedback in multiple-input multiple-output (MIMO) systems recently has attracted lots of attention from both academia and industrial. From a practical point of views, it is huge burden to train
Externí odkaz:
http://arxiv.org/abs/2210.09849
In text-to-SQL tasks -- as in much of NLP -- compositional generalization is a major challenge: neural networks struggle with compositional generalization where training and test distributions differ. However, most recent attempts to improve this are
Externí odkaz:
http://arxiv.org/abs/2205.02054
Autor:
Deng, Yi, Pang, Xiuqing, Chen, Li, Peng, Weihang, Huang, Xiaoyan, Huang, Peiying, Zhao, Shuai, Li, Zhishang, Cai, Xingui, Huang, Qiuping, Zeng, Jing, Feng, Yuchao, Chen, Bojun
Publikováno v:
In iScience 16 August 2024 27(8)
Autor:
Zhu, Xiaoshuai, Huang, Qiuping, Chen, Haiyun, Ling, Qiang, Ren, Ziyan, Peng, Baojin, Chen, Daru
Publikováno v:
In Optics Communications 1 November 2024 570
Autor:
Huang, Bo, Wang, Jianan, Xie, Dongling, Huang, Qiuping, Wen, Dan, Zeng, Xueqin, Lin, Dunmin, Guo, Wenhan, Sun, Huachuan, Xie, Fengyu
Publikováno v:
In Chemical Engineering Journal 15 October 2024 498
Autor:
Shan, Zheling, Deng, Qiang, Wang, Jianlin, Cui, Zhangzhang, Zhang, Jian, Shi, Wei, Han, Xu, Liu, Zhixin, Huang, Qiuping, Fu, Zhengping, Lu, Yalin
Publikováno v:
In Ceramics International 15 April 2024 50(8):13046-13052
Autor:
Gan, Yujian, Chen, Xinyun, Huang, Qiuping, Purver, Matthew, Woodward, John R., Xie, Jinxia, Huang, Pengsheng
Recently, there has been significant progress in studying neural networks to translate text descriptions into SQL queries. Despite achieving good performance on some public benchmarks, existing text-to-SQL models typically rely on the lexical matchin
Externí odkaz:
http://arxiv.org/abs/2106.01065
Publikováno v:
In Journal of Luminescence March 2024 267
Publikováno v:
In Case Studies in Thermal Engineering February 2024 54
Publikováno v:
Zeitschrift für Kristallographie - New Crystal Structures, Vol 239, Iss 1, Pp 51-52 (2024)
C11H11N3O2S, orthorhombic, Pna21 (no. 33), a = 22.6572(9) Å, b = 10.0205(4) Å, c = 4.9023(2) Å, V = 1113.01(8) Å3, Z = 5, Rgt(F) = 0.0341, wRref(F2) = 0.0857, T = 297 K.
Externí odkaz:
https://doaj.org/article/4c2f4be690024b789f367083e20f08ec