Zobrazeno 41 - 50
of 3 045
pro vyhledávání: '"Zhang, Guojun"'
Autor:
Zhai, Xiaoping, Zhang, Wendong, Cui, Jiangong, Huang, Haoming, Wang, Yajie, Zhang, Guojun, Wang, Renxin, Yang, Yuhua, Wang, Yonghua
Publikováno v:
In Optical Fiber Technology May 2024 84
Autor:
Zhong, Hua, Sun, Shengjie, Chen, Jianhua, Wang, Ziping, Zhao, Yanqiu, Zhang, Guojun, Chen, Gongyan, Zhou, Ming, Zhou, Jianying, Du, Yingying, Wu, Lin, Xu, Zhi, Mei, Xiaodong, Zhang, Weidong, He, Jingdong, Cui, Jiuwei, Zhang, Zhihong, Luo, Hui, Liu, Weiyou, Sun, Meili, Wu, Jingxun, Shen, Yongchun, Zhang, Shucai, Yang, Nong, Wang, Mengzhao, Lu, Junguo, Li, Kai, Yao, Weirong, Sun, Qian, Yue, Hongmei, Wang, Lin, Ye, Sheng, Li, Bin, Zhuang, Xibin, Pan, Yueyin, Zhang, Min, Shu, Yongqian, He, Zhiyong, Pan, Lei, Ling, Yang, Liu, Shengming, Zhang, Qi, Jiao, Shunchang **, Han, Baohui *
Publikováno v:
In The Lancet Respiratory Medicine May 2024 12(5):355-365
Publikováno v:
In Sensors and Actuators: A. Physical 16 October 2024 377
Autor:
Zhang, Jiachen, Na, Qingze, Su, Haijun, Lu, Fan, Lu, Wenjie, Wang, Juan, Wang, Ciaxia, Li, Rui, Zhang, Guojun
Publikováno v:
In Journal of Alloys and Compounds 5 September 2024 998
Publikováno v:
In Intermetallics September 2024 172
Autor:
Tan, Changsheng, Yang, Tao, Huang, Chaowen, Zhang, Jiachen, Wang, Xueliang, Lu, Hengping, Wen, Linxian, Zhang, Guojun
Publikováno v:
In Materials Science & Engineering A September 2024 909
Publikováno v:
In Surface & Coatings Technology 15 August 2024 489
Publikováno v:
In Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy 5 August 2024 316
Unsupervised domain adaptation is used in many machine learning applications where, during training, a model has access to unlabeled data in the target domain, and a related labeled dataset. In this paper, we introduce a novel and general domain-adve
Externí odkaz:
http://arxiv.org/abs/2106.11344
Out-of-distribution generalization is one of the key challenges when transferring a model from the lab to the real world. Existing efforts mostly focus on building invariant features among source and target domains. Based on invariant features, a hig
Externí odkaz:
http://arxiv.org/abs/2106.03632