Zobrazeno 1 - 10
of 108
pro vyhledávání: '"CUI Jiali"'
Publikováno v:
Taiyuan Ligong Daxue xuebao, Vol 55, Iss 5, Pp 832-840 (2024)
Purposes In order to effectively alleviate the urban flood caused by extreme rainstorm weather, the site selection and quantity optimization of rainwater storage tanks (SST) in urban rainwater drainage system were investigated. Methods Game theory (G
Externí odkaz:
https://doaj.org/article/4c2f97f7b42b41f1b336bc249969de01
Autor:
CUI Jiali, WANG Qing
Publikováno v:
精准医学杂志, Vol 39, Iss 4, Pp 367-370 (2024)
Epithelial cell adhesion molecule (EpCAM) was first identified in colon cancer cells and is involved in the regulation of cell adhesion, proliferation, differentiation, migration, and signal transduction. Normally, EpCAM is only expressed in normal e
Externí odkaz:
https://doaj.org/article/22487c10ef7746edb9681ae031305c4c
Publikováno v:
Taiyuan Ligong Daxue xuebao, Vol 55, Iss 3, Pp 550-558 (2024)
Purposes 2, 4, 6-Trichlorophenol (2, 4, 6-TCP) has been listed in the blacklist of pollutants in water because of its strong toxicity and “three inducing” effects. It is of great significance to remove 2, 4, 6-TCP from water. Methods Nitrogen and
Externí odkaz:
https://doaj.org/article/f48203fd455c45f492f13c18e8a083d1
Autor:
Cui, Jiali, Han, Tian
This work studies the learning problem of the energy-based prior model and the multi-layer generator model. The multi-layer generator model, which contains multiple layers of latent variables organized in a top-down hierarchical structure, typically
Externí odkaz:
http://arxiv.org/abs/2405.13910
Autor:
Cui, Jiali, Han, Tian
This paper studies the fundamental learning problem of the energy-based model (EBM). Learning the EBM can be achieved using the maximum likelihood estimation (MLE), which typically involves the Markov Chain Monte Carlo (MCMC) sampling, such as the La
Externí odkaz:
http://arxiv.org/abs/2312.02469
This paper studies the fundamental problem of multi-layer generator models in learning hierarchical representations. The multi-layer generator model that consists of multiple layers of latent variables organized in a top-down architecture tends to le
Externí odkaz:
http://arxiv.org/abs/2310.09604
This paper studies the fundamental problem of learning multi-layer generator models. The multi-layer generator model builds multiple layers of latent variables as a prior model on top of the generator, which benefits learning complex data distributio
Externí odkaz:
http://arxiv.org/abs/2306.06323
Publikováno v:
In Journal of Water Process Engineering September 2024 66
Autor:
Zhang, Bo, Wang, Xiaotong, Meng, Fanping, Du, Shuhao, Li, Haiping, Xia, Yufan, Yao, Yu, Zhang, Ping, Cui, Jiali, Cui, Zhengguo
Publikováno v:
In Journal of Hazardous Materials 5 December 2024 480
Publikováno v:
In Journal of Environmental Chemical Engineering June 2024 12(3)