Zobrazeno 1 - 10
of 133
pro vyhledávání: '"Zhang, Canlin"'
Autor:
Zhang, Canlin, Liu, Xiuwen
Deep neural networks trained in an end-to-end manner are proven to be efficient in a wide range of machine learning tasks. However, there is one drawback of end-to-end learning: The learned features and information are implicitly represented in neura
Externí odkaz:
http://arxiv.org/abs/2405.11684
Autor:
Zhang, Canlin, Liu, Xiuwen
Publikováno v:
IJCNN 2024
Link prediction is a crucial research area in knowledge graphs, with many downstream applications. In many real-world scenarios, inductive link prediction is required, where predictions have to be made among unseen entities. Embedding-based models us
Externí odkaz:
http://arxiv.org/abs/2312.10293
Publikováno v:
In Journal of Molecular Liquids 15 September 2024 410
Publikováno v:
In Construction and Building Materials 13 September 2024 443
Publikováno v:
In Thin-Walled Structures 15 August 2024 201 Part B
Publikováno v:
In Structural Safety July 2024 109
Publikováno v:
In Fuel 1 June 2024 365
Autor:
Xu, Song, Tang, Guangming, Pan, Shilong, Ji, Zhiyuan, Fang, Lei, Zhang, Canlin, Cao, Zhilong, Zhou, Xinxing, Jia, Xiaojuan
Publikováno v:
In Construction and Building Materials 29 March 2024 421
Publikováno v:
In Fuel 1 March 2024 359
Autor:
Zhang, Canlin, Chen, Minxuan, Wang, Ting, Xu, Song, Li, Yifei, Que, Yun, Wang, Lan, Lin, Xiaowei
Publikováno v:
In Construction and Building Materials 26 January 2024 413