Zobrazeno 1 - 10
of 520
pro vyhledávání: '"Zhang, Zepeng"'
Autor:
Zhang, Zepeng, Fink, Olga
Detecting and localizing leakages is a significant challenge for the efficient and sustainable management of water distribution networks (WDN). Leveraging the inherent graph structure of WDNs, recent approaches have used graph-based data-driven metho
Externí odkaz:
http://arxiv.org/abs/2408.02797
Publikováno v:
IEEE Journal on Selected Areas in Communications 2024
Fractional programming (FP) arises in various communications and signal processing problems because several key quantities in the field are fractionally structured, e.g., the Cram\'{e}r-Rao bound, the Fisher information, and the signal-to-interferenc
Externí odkaz:
http://arxiv.org/abs/2312.05726
Weighted sum-rate (WSR) maximization plays a critical role in communication system design. This paper examines three optimization methods for WSR maximization, which ensure convergence to stationary points: two block coordinate ascent (BCA) algorithm
Externí odkaz:
http://arxiv.org/abs/2311.04546
Autor:
QIN Yunpu, ZHANG Zhirui, ZHAO Yongzhi, WANG Yong, LIU Luan, ZHANG Yiming, XU Haifeng, JI Xiaoxia, ZHANG Zepeng, WANG Yuelong, HE Qing, LU Huifeng, ZHANG Deyin, WU Haoyang, PU Enxiang, JIA Baorui, QU Xuanhui, QIN Mingli
Publikováno v:
Fenmo yejin jishu, Vol 42, Iss 3, Pp 215-225 (2024)
Aluminum nitride (AlN) has high thermal conductivity, good insulation, low thermal expansion coefficient, non-magnetic, and other excellent properties used as a key material for high-end equipment in semiconductor, electric vacuum, and other fields.
Externí odkaz:
https://doaj.org/article/f6cc267b4a944f06b5cc179c9225649e
The graph neural network (GNN) models have presented impressive achievements in numerous machine learning tasks. However, many existing GNN models are shown to be vulnerable to adversarial attacks, which creates a stringent need to build robust GNN a
Externí odkaz:
http://arxiv.org/abs/2210.01002
Publikováno v:
Tongxin xuebao, Vol 45, Pp 29-43 (2024)
In response to the difficulty in obtaining perfect channel state information (CSI) in high mobility scenarios leaded to the deterioration of the performance of reconfigurable intelligent surface multiple-input multiple-output (RIS-MIMO) system’s ac
Externí odkaz:
https://doaj.org/article/7a63af75d3014412b5e15bcc969bff9d
Autor:
Zhang, Zepeng, Zhao, Ziping
The graph neural network (GNN) has demonstrated its superior performance in various applications. The working mechanism behind it, however, remains mysterious. GNN models are designed to learn effective representations for graph-structured data, whic
Externí odkaz:
http://arxiv.org/abs/2206.04471
Autor:
Zhang, Zhirui, Wu, Haoyang, li, Tao, Zhang, Zepeng, Li, Jiaxin, Xu, Haifeng, Lu, Huifeng, He, Qing, Gu, Siyong, Zhang, Deyin, Yin, Haiqing, Chu, Aimin, Jia, Baorui, Qu, Xuanhui, Qin, Mingli
Publikováno v:
In Ceramics International 15 November 2024 50(22) Part A:44957-44964
Autor:
Liu, Zifan, Meng, Yu, Wang, Yue, Zhang, Zepeng, Yin, Zhonglong, Dai, Yong, Liu, Fuqiang, Yang, Weiben
Publikováno v:
In Applied Catalysis B: Environment and Energy 5 November 2024 356
Publikováno v:
In International Journal of Biological Macromolecules November 2024 280 Part 4