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pro vyhledávání: '"Peng, Zhihao"'
Existing graph clustering networks heavily rely on a predefined yet fixed graph, which can lead to failures when the initial graph fails to accurately capture the data topology structure of the embedding space. In order to address this issue, we prop
Externí odkaz:
http://arxiv.org/abs/2211.10627
Publikováno v:
In Micro and Nanostructures July 2024 191
Existing deep embedding clustering works only consider the deepest layer to learn a feature embedding and thus fail to well utilize the available discriminative information from cluster assignments, resulting performance limitation. To this end, we p
Externí odkaz:
http://arxiv.org/abs/2111.05548
Deep self-expressiveness-based subspace clustering methods have demonstrated effectiveness. However, existing works only consider the attribute information to conduct the self-expressiveness, which may limit the clustering performance. In this paper,
Externí odkaz:
http://arxiv.org/abs/2109.13742
The combination of the traditional convolutional network (i.e., an auto-encoder) and the graph convolutional network has attracted much attention in clustering, in which the auto-encoder extracts the node attribute feature and the graph convolutional
Externí odkaz:
http://arxiv.org/abs/2108.05499
Publikováno v:
In Toxicon April 2024 241
Autor:
He, Xueqin, Peng, Zhihao, Zhu, Yuxiong, Chen, Yufeng, Huang, Yuanping, Xiong, Jingpeng, Fang, Chen, Du, Shurong, Wang, Long, Zhou, Ling, Huang, Guangqun, Han, Lujia
Publikováno v:
In Waste Management 15 March 2024 176:41-51
Autor:
Wu, You, Peng, Zhihao, Wang, Hanbin, Zhang, Liang, Zeng, Wei, Cao, Yu-An, Liao, Jiajun, Liang, Zihao, Liang, Qifeng, Peng, Yongzhen
Publikováno v:
In Bioresource Technology February 2024 393
Publikováno v:
In Bioresource Technology February 2024 393
Autor:
Peng, Zhihao
Dans cette thèse, nous nous intéressons à la gestion des flux de marchandises en zone urbaine aussi appelée logistique du dernier kilomètre, et associée à divers enjeux d’actualité : économique, environnemental, et sociétal. Quatre princi
Externí odkaz:
http://www.theses.fr/2019UBFCA010/document