Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Jinyan Qiu"'
Autor:
Jinyan Qiu, Guanlin Xiao, Minjuan Yang, Xuejun Huang, Dake Cai, Canhui Xie, Zhao Chen, Xiaoli Bi, Aili Xu
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-18 (2023)
Abstract Jasminum elongatum (JE), an ethnic Chinese medicine, is widely used in the Lingnan region of China, because of its analgesic and antidiarrheal action, as well as its anti-inflammatory effects in gastrointestinal diseases. However, whether JE
Externí odkaz:
https://doaj.org/article/0474aa51551c421bb0878a0fcd582fca
Autor:
Zhen Huang, Shiyi Xu, Minghao Hu, Xinyi Wang, Jinyan Qiu, Yongquan Fu, Yuncai Zhao, Yuxing Peng, Changjian Wang
Publikováno v:
IEEE Access, Vol 8, Pp 94341-94356 (2020)
Open-domain textual question answering (QA), which aims to answer questions from large data sources like Wikipedia or the web, has gained wide attention in recent years. Recent advancements in open-domain textual QA are mainly due to the significant
Externí odkaz:
https://doaj.org/article/09371752c15a407f8a6ff7cabf847c9a
Publikováno v:
China Communications. 17:77-89
To security support large-scale intelligent applications, distributed machine learning based on blockchain is an intuitive solution scheme. However, the distributed machine learning is difficult to train due to that the corresponding optimization sol
Autor:
Changjian Wang, Zhen Huang, Shiyi Xu, Yongquan Fu, Yuxing Peng, Jinyan Qiu, Xinyi Wang, Yuncai Zhao, Minghao Hu
Publikováno v:
IEEE Access, Vol 8, Pp 94341-94356 (2020)
Open-domain textual question answering (QA), which aims to answer questions from large data sources like Wikipedia or the web, has gained wide attention in recent years. Recent advancements in open-domain textual QA are mainly due to the significant
Publikováno v:
IJCNN
Open-domain question answering extract the answer for a question from a large scale corpus, which typically employs ranker to filter irrelevant paragraphs. As traditional retrieval approaches based on statistical characteristics, neural ranking model
Publikováno v:
Knowledge Science, Engineering and Management ISBN: 9783030821524
KSEM
KSEM
Since rumors have affected real society harmfully, automatic rumor verification attracts much attention from researchers. Incorporating the stance-aware knowledge into rumor verification is a hot direction, because its great potential to boost verifi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::40ba51db3c8a3e28a3cb0131edc56fe2
https://doi.org/10.1007/978-3-030-82153-1_13
https://doi.org/10.1007/978-3-030-82153-1_13
Autor:
Yuan Yuan, Jinyan Qiu, Yuxing Peng, Feng Liu, Hangjun Zhou, Dongsheng Li, Changjian Wang, Mingxing Tang, Zhen Huang
Publikováno v:
2020 IEEE International Conference on Joint Cloud Computing.
To support large-scale intelligent applications, distributed machine learning based on JointCloud is an intuitive solution scheme. However, the distributed machine learning is difficult to train due to that the corresponding optimization solver algor