Zobrazeno 1 - 10
of 33
pro vyhledávání: '"Bangyan Wang"'
Autor:
Bangyan Wang, Jiayu Liang, Edward Allen, Xin Chang, Zixi Jiang, Yao Yu, Meisen Shi, Shaoqing Wen
Publikováno v:
Frontiers in Ecology and Evolution, Vol 11 (2023)
AbstractThe Kazakhs of Xinjiang province are characterized by their nomadic lifestyle and patrilineal clan system. However, compared to Central Asian Kazakhs, a lack of Y chromosomal high-resolution analysis has hindered our understanding of the pate
Externí odkaz:
https://doaj.org/article/ea6a56e32590438ea7ef07441c224065
Publikováno v:
BMC Complementary and Alternative Medicine, Vol 19, Iss 1, Pp 1-9 (2019)
Abstract Background Cancer cachexia is a cancer-induced multifactorial debilitating syndrome directly accounting for 20% of cancer deaths without effective therapeutic approaches. It is extremely urgent to explore effective anti-cachexia drugs to ame
Externí odkaz:
https://doaj.org/article/beec71b9f44c4d9aa1098fc95cbc8c70
Autor:
Ting Zhou, Bangyan Wang, Huiquan Liu, Kaixiang Yang, Sudip Thapa, Haowen Zhang, Lu Li, Shiying Yu
Publikováno v:
Journal of Cachexia, Sarcopenia and Muscle, Vol 9, Iss 2, Pp 306-314 (2018)
Abstract Background Cachexia is a multifactorial syndrome that is highly prevalent in advanced cancer patients and leads to progressive functional impairments. The classification of cachexia stages is essential for diagnosing and treating cachexia. H
Externí odkaz:
https://doaj.org/article/db8ec3ce3adb4e8fa87657b54c15f2fe
Autor:
Zheng Qu, Bangyan Wang, Jilan Lin, Lei Deng, Yuan Xie, Ling Liang, Guoqi Li, Hengnu Chen, Zheng Zhang
Publikováno v:
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 41:372-385
In recent years, tensor computation has become a promising tool for solving big data analysis, machine learning, medical image and EDA problems. To ease the memory and computation intensity of tensor processing, decomposition techniques, especially T
Publikováno v:
IEEE Transactions on Computers. 71:266-281
We propose a novel architecture to efficiently perform sparse tensor decomposition (SpTD). As the generalization of vectors and matrices, tensors are widely used to process high-dimensional data. SpTD is not only an emerging tensor analysis technique
Publikováno v:
IEEE Transactions on Pattern Analysis and Machine Intelligence. 44:13-31
In recent years, plenty of metrics have been proposed to identify networks that are free of gradient explosion and vanishing. However, due to the diversity of network components and complex serial-parallel hybrid connections in modern DNNs, the evalu
Publikováno v:
Applied Energy. 344:121286
Publikováno v:
Bioresource Technology. 380:129062
Publikováno v:
International Journal of Electrical Power & Energy Systems. 149:109066
Autor:
Guohao Dai, Zhenhua Zhu, Tianyu Fu, Chiyue Wei, Bangyan Wang, Xiangyu Li, Yuan Xie, Huazhong Yang, Yu Wang
Publikováno v:
Proceedings of the 49th Annual International Symposium on Computer Architecture.