Zobrazeno 1 - 10
of 38
pro vyhledávání: '"Wu, Mincheng"'
Autor:
Shi, Xiufang, Zhang, Wei, Wu, Mincheng, Liu, Guangyi, Wen, Zhenyu, He, Shibo, Shah, Tejal, Ranjan, Rajiv
In federated learning, the heterogeneity of client data has a great impact on the performance of model training. Many heterogeneity issues in this process are raised by non-independently and identically distributed (Non-IID) data. This study focuses
Externí odkaz:
http://arxiv.org/abs/2409.17517
Publikováno v:
Entropy 25, 1 (2023)
Network structure provides critical information for understanding the dynamic behavior of networks. However, the complete structure of real-world networks is often unavailable, thus it is crucially important to develop approaches to infer a more comp
Externí odkaz:
http://arxiv.org/abs/2208.01739
Publikováno v:
In Physica A: Statistical Mechanics and its Applications 15 November 2024 654
Autor:
Zhang, Yongtao, Zhang, Hongshen, Wu, Mincheng, He, Shibo, Fang, Yi, Cheng, Yanggang, Shi, Zhiguo, Shao, Cunqi, Li, Chao, Ying, Songmin, Gong, Zhenyu, Liu, Yu, Ye, Xinjiang, Chen, Jinlai, Sun, Youxian, Chen, Jiming, Stanley, H. Eugene
Currently, the global situation of COVID-19 is aggravating, pressingly calling for efficient control and prevention measures. Understanding spreading pattern of COVID-19 has been widely recognized as a vital step for implementing non-pharmaceutical m
Externí odkaz:
http://arxiv.org/abs/2012.15161
Network reconstruction is fundamental to understanding the dynamical behaviors of the networked systems. Many systems, modeled by multiplex networks with various types of interactions, display an entirely different dynamical behavior compared to the
Externí odkaz:
http://arxiv.org/abs/2001.09809
Autor:
Wu, Mincheng, He, Shibo, Zhang, Yongtao, Chen, Jiming, Sun, Youxian, Liu, Yang-Yu, Zhang, Junshan, Poor, H. Vincent
Centrality is widely recognized as one of the most critical measures to provide insight in the structure and function of complex networks. While various centrality measures have been proposed for single-layer networks, a general framework for studyin
Externí odkaz:
http://arxiv.org/abs/1708.07763
Publikováno v:
IEEE Sensors Journal; November 2024, Vol. 24 Issue: 21 p35113-35125, 13p
Akademický článek
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Autor:
Wu, Mincheng, He, Shibo, Zhang, Yongtao, Chen, Jiming, Sun, Youxian, Liu, Yang-Yu, Zhang, Junshan, Poor, H. Vincent
Publikováno v:
Proceedings of the National Academy of Sciences of the United States of America, 2019 Jul . 116(31), 15407-15413.
Externí odkaz:
https://www.jstor.org/stable/26848134
Autor:
Yu, Jin-Zhu1 (AUTHOR), Wu, Mincheng2 (AUTHOR), Bichler, Gisela3 (AUTHOR), Aros-Vera, Felipe4 (AUTHOR), Gao, Jianxi5,6 (AUTHOR) jianxi.gao@gmail.com
Publikováno v:
Entropy. Jan2023, Vol. 25 Issue 1, p142. 18p.