Zobrazeno 1 - 10
of 251
pro vyhledávání: '"Hou Yuxuan"'
Automatic synthesis of analog circuits presents significant challenges. Existing methods usually treat the task as optimization problems, which limits their transferability and reusability for new requirements. To address this limitation, we introduc
Externí odkaz:
http://arxiv.org/abs/2410.00995
Autor:
Wang Huimei, Hou Yuxuan, Wang Shuang, Tong Xiaohong, Tang Liqun, Abolore Adijat Ajadi, Zhang Jian, Wang Yifeng
Publikováno v:
Rice Science, Vol 28, Iss 1, Pp 1-5 (2021)
Externí odkaz:
https://doaj.org/article/ec46eac990d44fee96717e82a4fa7d35
Autor:
Liu Lianmeng, Zhao Yuan, Lu Jiying, Liang Mengqi, Sun Lei, Gao Jian, Wang Ling, Hou Yuxuan, Huang Shiwen
Publikováno v:
Rice Science, Vol 27, Iss 5, Pp 359-362 (2020)
Externí odkaz:
https://doaj.org/article/9e201a8960d14e7e983c97c125593717
Autor:
Liu, Haoliang, Bai, Xue, Ning, Jingliang, Hou, Yuxuan, Song, Zifeng, Ramasamy, Akilan, Zhang, Ruiqi, Li, Yefei, Sun, Jianwei, Xiao, Bing
The recent development of the accurate and efficient semilocal density functionals on the third rung of Jacob's ladder of density functional theory such as the revised regularized strongly constrained and appropriately normed (r2SCAN) density functio
Externí odkaz:
http://arxiv.org/abs/2309.12554
Autor:
Wang, Xueqian, Liu, Chuanbao, Wang, Feilou, Luo, Weijia, Tao, Chengdong, Hou, Yuxuan, Qiao, Lijie, Zhou, Ji, Sun, Jingbo, Bai, Yang
Publikováno v:
In Engineering July 2024 38:194-200
Autor:
Song, Suocheng, Hou, Yuxuan, Sun, Miao, Wang, Bo, Bao, Chonggao, Liu, Rongzhen, Dong, Wencai, Lu, Bingheng, Ma, Evan
Publikováno v:
In Additive Manufacturing 5 April 2024 85
Publikováno v:
In Chemosphere March 2024 351
Autor:
He, Bingqiang, Niu, Li, Li, Shaolan, Li, Hui, Hou, Yuxuan, Li, Aicheng, Zhang, Xingyuan, Hao, Huifei, Song, Honghua, Cai, Rixin, Zhou, Yue, Wang, Yingjie, Wang, Yongjun
Publikováno v:
In Brain Behavior and Immunity February 2024 116:85-100
Efficient layout of large-scale graphs remains a challenging problem: the force-directed and dimensionality reduction-based methods suffer from high overhead for graph distance and gradient computation. In this paper, we present a new graph layout al
Externí odkaz:
http://arxiv.org/abs/2008.07799
Akademický článek
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