Zobrazeno 1 - 10
of 83
pro vyhledávání: '"Liu, Faqiang"'
Autor:
Xu, Mingkun, Yin, Huifeng, Wu, Yujie, Li, Guoqi, Liu, Faqiang, Pei, Jing, Zhong, Shuai, Deng, Lei
In recent years, spiking neural networks (SNNs) have attracted substantial interest due to their potential to replicate the energy-efficient and event-driven processing of biological neurons. Despite this, the application of SNNs in graph representat
Externí odkaz:
http://arxiv.org/abs/2407.20508
Biological spiking neurons with intrinsic dynamics underlie the powerful representation and learning capabilities of the brain for processing multimodal information in complex environments. Despite recent tremendous progress in spiking neural network
Externí odkaz:
http://arxiv.org/abs/2107.06865
Autor:
Liu, Faqiang, Zhao, Rong
Deep neural networks have achieved remarkable performance in various applications but are extremely vulnerable to adversarial perturbation. The most representative and promising methods that can enhance model robustness, such as adversarial training
Externí odkaz:
http://arxiv.org/abs/2103.13124
Autor:
Liu, Faqiang1 (AUTHOR), Zheng, Hao1 (AUTHOR), Ma, Songchen1 (AUTHOR), Zhang, Weihao1 (AUTHOR), Liu, Xue1 (AUTHOR), Chua, Yansong2 (AUTHOR), Shi, Luping1 (AUTHOR), Zhao, Rong1 (AUTHOR) r_zhao@mail.tsinghua.edu.cn
Publikováno v:
National Science Review. May2024, Vol. 11 Issue 5, p1-16. 16p.
Publikováno v:
Applied Mathematics and Nonlinear Sciences, Vol 9, Iss 1 (2024)
Influenced by the new crown epidemic, online teaching has entered the public’s view, and exploring the hybrid teaching between online and offline has become the hot content of university Chemistry course practice nowadays. This paper systematically
Externí odkaz:
https://doaj.org/article/d3e0757b940f4d6981edb5c6045c7bb2
Publikováno v:
Neural networks,2020
Generative adversarial networks have achieved remarkable performance on various tasks but suffer from training instability. Despite many training strategies proposed to improve training stability, this issue remains as a challenge. In this paper, we
Externí odkaz:
http://arxiv.org/abs/1912.09670
Akademický článek
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Publikováno v:
In Neural Networks January 2021 133:148-156
Publikováno v:
Journal of Dispersion Science & Technology; Jun2024, Vol. 45 Issue 8, p1494-1501, 8p
Publikováno v:
Zhongliu Fangzhi Yanjiu, Vol 46, Iss 7, Pp 610-613 (2019)
Objective To assess the clinical effect of oral nutritional supplements in patients with colorectal cancer after emergency surgery. Methods Based on a retrospective comparative analytic design, 38 CRC patients undergoing emergency surgery were divide
Externí odkaz:
https://doaj.org/article/aa069ac0a6c04788b36b94fdbf1012b8