Zobrazeno 1 - 10
of 1 368
pro vyhledávání: '"WANG Shuyi"'
Autor:
ZHANG Xiaodan, DU Jinxiang, LI Tao, SHE Yichong, ZHAO Rui, KE Xizheng, KANG Junwei, WANG Shuyi
Publikováno v:
Xi'an Gongcheng Daxue xuebao, Vol 36, Iss 2, Pp 40-48 (2022)
In view of the problem of low accuracy of emotion recognition caused by insufficient feature information of a single physiological signal and the mismatch between individual specificity and the global threshold, an improved Relief F matching multi-ph
Externí odkaz:
https://doaj.org/article/bd84fc9dd9554ba59f39fb8d129a47f0
Publikováno v:
Zhishi guanli luntan, Vol 7, Iss 6, Pp 0-0 (2022)
[Purpose/Significance] This paper aims to analyze the characteristics and advantages of digital note tools, so as to remove the obstacles encountered in the process of scientific research, dredge the scientific research process, and improve the scien
Externí odkaz:
https://doaj.org/article/f52530b8f0784b8ca465c5bd0fd413af
Data protection legislation like the European Union's General Data Protection Regulation (GDPR) establishes the \textit{right to be forgotten}: a user (client) can request contributions made using their data to be removed from learned models. In this
Externí odkaz:
http://arxiv.org/abs/2401.13410
Autor:
Wang, Shuyi, Zuccon, Guido
Federated online learning to rank (FOLTR) aims to preserve user privacy by not sharing their searchable data and search interactions, while guaranteeing high search effectiveness, especially in contexts where individual users have scarce training dat
Externí odkaz:
http://arxiv.org/abs/2307.01565
Imaging polarimetry based on dielectric metasurface is well-known for its ultra-compactness and high integration. However, previous works suffer from low energy efficiency, limited restrictions on choice of target polarization states, or inability to
Externí odkaz:
http://arxiv.org/abs/2307.01707
Autor:
Wang, Shuyi1,2 (AUTHOR), Choi, S.H.2 (AUTHOR), Xiao, Jianhua3,4 (AUTHOR), Huang, George Q.5 (AUTHOR) gq.huang@polyu.edu.hk
Publikováno v:
International Journal of Production Research. Sep2024, Vol. 62 Issue 18, p6627-6648. 22p.
Autor:
Wang, Shuyi, Zuccon, Guido
In this perspective paper we study the effect of non independent and identically distributed (non-IID) data on federated online learning to rank (FOLTR) and chart directions for future work in this new and largely unexplored research area of Informat
Externí odkaz:
http://arxiv.org/abs/2204.09272
Autor:
Li, Feng-Juan, Hu, Huantao, Wu, Liangyan, Luo, Bijun, Zhou, Yuan, Ren, Jun, Lin, Jie, Reiter, Russel J., Wang, Shuyi, Dong, Maolong, Guo, Jun, Peng, Hu
Publikováno v:
In Free Radical Biology and Medicine 20 November 2024 225:75-86
Autor:
Song, Kaiwen, Jin, Longyang, Cai, Meng, Wang, Qi, Wu, Xingyu, Wang, Shuyi, Sun, Shijun, Wang, Ruobing, Chen, Fengning, Wang, Hui
Publikováno v:
In eBioMedicine October 2024 108
Publikováno v:
In International Journal of Production Economics October 2024 276