Zobrazeno 1 - 10
of 209
pro vyhledávání: '"Yang, Zijie"'
Autor:
Gao, Shoufei, Chen, Hao, Sun, Yizhi, Xiong, Yifan, Yang, Zijie, Zhao, Rui, Ding, Wei, Wang, Yingying
Hollow-core fibers are inherently multimode, making it crucial to filter out higher-order modes within the shortest possible fiber length for applications such as high speed coherent communications and fiber optic gyroscopes. However, current HCF des
Externí odkaz:
http://arxiv.org/abs/2409.13332
Natural Medicinal Materials (NMMs) have a long history of global clinical applications and a wealth of records and knowledge. Although NMMs are a major source for drug discovery and clinical application, the utilization and sharing of NMM knowledge f
Externí odkaz:
http://arxiv.org/abs/2401.00020
Autor:
Liu, Guixian, Liang, Jie, Li, Wei, Jiang, Suli, Song, Meiying, Xu, Shuo, Du, Qiaochu, Wang, Luoyang, Wang, Xiao, Liu, Xiaoli, Tang, Lei, Yang, Zijie, Zhou, Mengting, Meng, Haining, Zhang, Li, Yang, Yanyan, Zhang, Bei
Publikováno v:
In International Immunopharmacology 10 September 2024 138
Autor:
Wang, Yuchao, Chen, Dongxia, Rong, Lanxi, Chen, Jialing, Wang, Fuwei, He, Shijie, Wang, Yuqi, Yang, Zijie, Lei, Wenzhi
Publikováno v:
In Marine and Petroleum Geology December 2024 170
Publikováno v:
In Clinical Breast Cancer August 2024 24(6):552-561
Autor:
Ding, Dianyuan, Yang, Zijie, Wu, Lihong, Zhao, Ying, Zhang, Xi, Chen, Xiaoping, Feng, Hao, Zhang, Chao, Wendroth, Ole
Publikováno v:
In Agricultural Water Management 30 June 2024 299
Autor:
Liang, Yuwei, Yang, Mingcai, Kong, Dehao, Huang, Taihong, Wang, Jie, Yang, Zijie, Zheng, Biju, Song, Peng
Publikováno v:
In Journal of Materials Research and Technology March-April 2024 29:4622-4635
Publikováno v:
In International Immunopharmacology 15 February 2024 128
Publikováno v:
In Arabian Journal of Chemistry February 2024 17(2)
Autor:
Huo, Xinyue, Xie, Lingxi, Wei, Longhui, Zhang, Xiaopeng, Li, Hao, Yang, Zijie, Zhou, Wengang, Li, Houqiang, Tian, Qi
Contrastive learning has achieved great success in self-supervised visual representation learning, but existing approaches mostly ignored spatial information which is often crucial for visual representation. This paper presents heterogeneous contrast
Externí odkaz:
http://arxiv.org/abs/2011.09941