Zobrazeno 1 - 10
of 279
pro vyhledávání: '"Zheng Wenting"'
Publikováno v:
Xiehe Yixue Zazhi, Vol 15, Iss 5, Pp 1006-1010 (2024)
As a practical carrier for promoting the tiered diagnosis and treatment model, the medical consor-tium is of great significance for balancing medical resources and boosting medical service efficiency. The construction of medical consortiums not only
Externí odkaz:
https://doaj.org/article/cd37cbaaf2304e0780315723715f51f5
Autor:
Xie, Rengan, Zheng, Wenting, Huang, Kai, Chen, Yizheng, Wang, Qi, Ye, Qi, Chen, Wei, Huo, Yuchi
Previous efforts have managed to generate production-ready 3D assets from text or images. However, these methods primarily employ NeRF or 3D Gaussian representations, which are not adept at producing smooth, high-quality geometries required by modern
Externí odkaz:
http://arxiv.org/abs/2405.14580
Recently, implicit neural representation has been widely used to generate animatable human avatars. However, the materials and geometry of those representations are coupled in the neural network and hard to edit, which hinders their application in tr
Externí odkaz:
http://arxiv.org/abs/2405.11270
Advances in generative models have made it possible for AI-generated text, code, and images to mirror human-generated content in many applications. Watermarking, a technique that aims to embed information in the output of a model to verify its source
Externí odkaz:
http://arxiv.org/abs/2402.16187
This paper proposes a new hybrid algorithm for sampling virtual point light (VPL). The indirect lighting calculation of the scene is used to distribute the VPL reasonably. In the process of generating VPL, we divide the scene into two parts according
Externí odkaz:
http://arxiv.org/abs/2203.11484
Vertical federated learning (VFL) system has recently become prominent as a concept to process data distributed across many individual sources without the need to centralize it. Multiple participants collaboratively train models based on their local
Externí odkaz:
http://arxiv.org/abs/2201.02775
Autor:
Law, Andrew, Leung, Chester, Poddar, Rishabh, Popa, Raluca Ada, Shi, Chenyu, Sima, Octavian, Yu, Chaofan, Zhang, Xingmeng, Zheng, Wenting
In recent years, gradient boosted decision tree learning has proven to be an effective method of training robust models. Moreover, collaborative learning among multiple parties has the potential to greatly benefit all parties involved, but organizati
Externí odkaz:
http://arxiv.org/abs/2010.02524
Akademický článek
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Autor:
Miao, Haocheng, Zheng, Wenting, Chen, Xueping, Yu, Guiying, Li, Xiaoying, Chu, Yongsheng, Xu, Peifan, Kubur Bokhari, Abdaseed, Wang, Fushun
Publikováno v:
In Environmental Research 15 August 2023 231 Part 1
Autor:
Yan, Hongyu, Cheng, Quhan, Si, Jianghua, Wang, Songdi, Wan, Ye, Kong, Xin, Wang, Ting, Zheng, Wenting, Rafique, Muhammad, Li, Xiaofeng, He, Ju, Midgley, Adam C., Zhu, Yi, Wang, Kai, Kong, Deling
Publikováno v:
In Bioactive Materials August 2023 26:292-305