Zobrazeno 1 - 10
of 346
pro vyhledávání: '"Shen, Jingyi"'
Existing deep learning-based surrogate models facilitate efficient data generation, but fall short in uncertainty quantification, efficient parameter space exploration, and reverse prediction. In our work, we introduce SurroFlow, a novel normalizing
Externí odkaz:
http://arxiv.org/abs/2407.12884
Autor:
Shen, Jingyi, Shen, Han-Wei
Although many deep-learning-based super-resolution approaches have been proposed in recent years, because no ground truth is available in the inference stage, few can quantify the errors and uncertainties of the super-resolved results. For scientific
Externí odkaz:
http://arxiv.org/abs/2308.04605
Deep learning based latent representations have been widely used for numerous scientific visualization applications such as isosurface similarity analysis, volume rendering, flow field synthesis, and data reduction, just to name a few. However, exist
Externí odkaz:
http://arxiv.org/abs/2208.03345
Autor:
Shen, Jingyi
The correlation between NMR chemical shifts of interstitial atoms and electronic structures of boron- and carbon-centered hexazirconium halide clusters was investigated by density functional theory (DFT) calculation. The influences of bridging halide
Externí odkaz:
http://hdl.handle.net/1969.1/2444
Autor:
Yin, Caiyun, Wu, Zhou, Tong, Aidi, Shen, Jingyi, Ahmad, Bilal, Tong, Chunyi, Wang, Dongliang, Liu, Bin
Publikováno v:
In Chemical Engineering Journal 15 October 2024 498
Publikováno v:
In Journal of Vocational Behavior September 2024 153
Publikováno v:
In Case Studies in Thermal Engineering August 2024 60
Autor:
Shen, Jingyi1 (AUTHOR) 17555279938@163.com, Gao, Fangxin1 (AUTHOR), Pan, Qian1 (AUTHOR), Zong, Zhihui1 (AUTHOR), Liang, Lili1 (AUTHOR) 2014003@bbmc.edu.cn
Publikováno v:
Molecules. Jun2024, Vol. 29 Issue 11, p2643. 11p.
Autor:
Shen, Jingyi, Tong, Aidi, Zhong, Xianghua, Yin, Caiyun, Ahmad, Bilal, Wu, Zhou, Yang, Yuejun, Tong, Chunyi
Publikováno v:
In Biomedicine & Pharmacotherapy April 2024 173
Publikováno v:
In Journal of Archaeological Science: Reports February 2024 53