Zobrazeno 1 - 10
of 29
pro vyhledávání: '"Chenhao Xie"'
Publikováno v:
Buildings, Vol 14, Iss 5, p 1441 (2024)
Based on the WindPACT-3MW wind turbine tower commonly used in wind power engineering, a finite element model (FEM) of a hybrid wind turbine tower combining an upper steel tube with a lower steel truss is designed and established. On this basis, a sta
Externí odkaz:
https://doaj.org/article/3550b4b9d9544cee924a5d370e16b671
Publikováno v:
2023 IEEE International Symposium on High-Performance Computer Architecture (HPCA).
Autor:
Hanwen Tong, Chenhao Xie, Jiaqing Liang, Qianyu He, Zhiang Yue, Jingping Liu, Yanghua Xiao, Wenguang Wang
Publikováno v:
Proceedings of the 31st ACM International Conference on Information & Knowledge Management.
Autor:
Ozgur O. Kilic, Nathan R. Tallent, Yasodha Suriyakumar, Chenhao Xie, Andres Marquez, Stephane Eranian
Publikováno v:
2022 IEEE International Conference on Cluster Computing (CLUSTER).
Publikováno v:
IEEE Transactions on Computers. 70:495-510
As the demand for the image processing increases, the image features become increasingly complicated. Although the Convolutional Neural Network (CNN) have been widely adopted for the imaging processing tasks, it has been found easily misled due to th
Autor:
Cheng Tan, Nicolas Bohm Agostini, Tong Geng, Chenhao Xie, Jiajia Li, Ang Li, Kevin J. Barker, Antonino Tumeo
Publikováno v:
2022 IEEE International Symposium on High-Performance Computer Architecture (HPCA).
Autor:
Lihan Chen, Sihang Jiang, Jingping Liu, Chao Wang, Sheng Zhang, Chenhao Xie, Jiaqing Liang, Yanghua Xiao, Rui Song
Knowledge graphs (KGs) are an important source repository for a wide range of applications and rule mining from KGs recently attracts wide research interest in the KG-related research community. Many solutions have been proposed for the rule mining f
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8a9b098f522ecbac70518643d3ae66cd
http://arxiv.org/abs/2202.10381
http://arxiv.org/abs/2202.10381
Autor:
Chunshu Wu, Yingyan Lin, Martin C. Herbordt, Ang Li, Tong Geng, Yongan Zhang, Cheng Tan, Haoran You, Chenhao Xie
Publikováno v:
MICRO
Graph Convolutional Networks (GCNs) have drawn tremendous attention in the past three years. Compared with other deep learning modalities, high-performance hardware acceleration of GCNs is as critical but even more challenging. The hurdles arise from
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8cdaca8542031e3ed50e8377330a58a7
Publikováno v:
CIKM
The World Wide Web contains rich up-to-date information for knowledge graph construction. However, most current relation extraction techniques are designed for free text and thus do not handle well semi-structured web content. In this paper, we propo
Autor:
Cheng Tan, Tong Geng, Chenhao Xie, Nicolas Bohm Agostini, Jiajia Li, Ang Li, Kevin Barker, Antonino Tumeo
Publikováno v:
2021 IEEE 39th International Conference on Computer Design (ICCD).