Zobrazeno 1 - 10
of 339
pro vyhledávání: '"Liu, Bingyu"'
Autor:
Xu, Youjun, Xiao, Jinchuan, Chou, Chia-Han, Zhang, Jianhang, Zhu, Jintao, Hu, Qiwan, Li, Hemin, Han, Ningsheng, Liu, Bingyu, Zhang, Shuaipeng, Han, Jinyu, Zhang, Zhen, Zhang, Shuhao, Zhang, Weilin, Lai, Luhua, Pei, Jianfeng
Molecular structures are always depicted as 2D printed form in scientific documents like journal papers and patents. However, these 2D depictions are not machine-readable. Due to a backlog of decades and an increasing amount of these printed literatu
Externí odkaz:
http://arxiv.org/abs/2205.11016
Publikováno v:
In iScience 16 August 2024 27(8)
Autor:
Chen, Changlong, Liu, Bingyu, Mittone, Alberto, Nikitin, Viktor, Lin, Hao, Marques, Otavio J., Liu, Yuzi, Segre, Carlo U., Shaw, Leon
Publikováno v:
In Journal of Power Sources 15 December 2024 623
Iron ore feed load control is one of the most critical settings in a mineral grinding process, directly impacting the quality of final products. The setting of the feed load is mainly determined by the characteristics of the ore pellets. However, the
Externí odkaz:
http://arxiv.org/abs/2110.04063
Deep learning as a service (DLaaS) has been intensively studied to facilitate the wider deployment of the emerging deep learning applications. However, DLaaS may compromise the privacy of both clients and cloud servers. Although some privacy preservi
Externí odkaz:
http://arxiv.org/abs/2102.03915
Recent domain adaptation methods have demonstrated impressive improvement on unsupervised domain adaptation problems. However, in the semi-supervised domain adaptation (SSDA) setting where the target domain has a few labeled instances available, thes
Externí odkaz:
http://arxiv.org/abs/2012.03438
In this paper, we present our proposed ensemble model with batch spectral regularization and data blending mechanisms for the Track 2 problem of the cross-domain few-shot learning (CD-FSL) challenge. We build a multi-branch ensemble framework by usin
Externí odkaz:
http://arxiv.org/abs/2006.04323
In this paper, we propose a feature transformation ensemble model with batch spectral regularization for the Cross-domain few-shot learning (CD-FSL) challenge. Specifically, we proposes to construct an ensemble prediction model by performing diverse
Externí odkaz:
http://arxiv.org/abs/2005.08463
Publikováno v:
In Journal of Power Sources 1 October 2023 580
Autor:
Chen, Tian, Feng, Yiting, Sun, Wanwei, Zhao, Guimin, Wu, Han, Cheng, Xiaochen, Zhao, Fabao, Zhang, Lei, Zheng, Yi, Zhan, Peng, Zhao, Wei, Liu, Bingyu, Gao, Chengjiang
Publikováno v:
In Immunity 8 August 2023 56(8):1727-1742