Zobrazeno 1 - 10
of 186
pro vyhledávání: '"Shen, Ruimin"'
Despite the emerging progress of integrating evolutionary computation into reinforcement learning, the absence of a high-performance platform endowing composability and massive parallelism causes non-trivial difficulties for research and applications
Externí odkaz:
http://arxiv.org/abs/2209.10055
Autor:
Shen, Ruimin, Shao, Zungui, Chen, Ruixin, Wang, Qibin, Gui, Zeqian, Qi, Yude, Song, Wenzhengyi, Liu, Yifang, Zheng, Gaofeng
Publikováno v:
In Separation and Purification Technology 9 August 2024 341
Autor:
Wang, Qibin, Shao, Zungui, Sui, Jian, Shen, Ruimin, Chen, Ruixin, Gui, Zeqian, Qi, Yude, Song, Wenzhengyi, Li, Guoxin, Liu, Yifang, Zheng, Gaofeng
Publikováno v:
In International Journal of Biological Macromolecules August 2024 275 Part 2
Autor:
Shao, Zungui, Shen, Ruimin, Gui, Zeqian, Xie, Junjie, Jiang, Jiaxin, Wang, Xiang, Li, Wenwang, Guo, Shumin, Liu, Yifang, Zheng, Gaofeng
Publikováno v:
In International Journal of Biological Macromolecules January 2024 254 Part 2
Autor:
Shao, Zungui, Wang, Qibin, Gui, Zeqian, Shen, Ruimin, Chen, Ruixin, Liu, Yifang, Zheng, Gaofeng
Publikováno v:
In Separation and Purification Technology 7 June 2025 358 Part B
Autor:
Shao, Zungui, Kang, Guoyi, Xie, Junjie, Shen, Ruimin, Li, Haonan, Zeng, Ziyue, Jiang, Jiaxin, Wang, Xiang, Li, Wenwang, Guo, Shumin, Liu, Yifang, Zheng, Gaofeng
Publikováno v:
In Separation and Purification Technology 15 December 2023 327
this paper has been withdrawn
Comment: 1. there is some discrepancy between some contributors with respect to the order of the authors; 2. the paper is rather "raw" - significant effort and improvement in terms of the paper's language and struct
Comment: 1. there is some discrepancy between some contributors with respect to the order of the authors; 2. the paper is rather "raw" - significant effort and improvement in terms of the paper's language and struct
Externí odkaz:
http://arxiv.org/abs/1910.09022
Autor:
Zheng, Gaofeng, Zeng, Ziyue, Shao, Zungui, Shen, Ruimin, Li, Haonan, Jiang, Jiaxin, Wang, Xiang, Li, Wenwang, Liu, Yifang
Publikováno v:
In Materials Chemistry and Physics 1 June 2023 301
Akademický článek
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Sparse coding (SC) is an automatic feature extraction and selection technique that is widely used in unsupervised learning. However, conventional SC vectorizes the input images, which breaks apart the local proximity of pixels and destructs the eleme
Externí odkaz:
http://arxiv.org/abs/1703.09690