Zobrazeno 1 - 10
of 384
pro vyhledávání: '"Huang, Shijie"'
Autor:
Song, Yiren, Huang, Shijie, Yao, Chen, Ye, Xiaojun, Ci, Hai, Liu, Jiaming, Zhang, Yuxuan, Shou, Mike Zheng
The painting process of artists is inherently stepwise and varies significantly among different painters and styles. Generating detailed, step-by-step painting processes is essential for art education and research, yet remains largely underexplored.
Externí odkaz:
http://arxiv.org/abs/2406.06062
Accurate tissue segmentation of thick-slice fetal brain magnetic resonance (MR) scans is crucial for both reconstruction of isotropic brain MR volumes and the quantification of fetal brain development. However, this task is challenging due to the use
Externí odkaz:
http://arxiv.org/abs/2308.06762
We consider distributed learning problem in games with an unknown cost-relevant parameter, and aim to find the Nash equilibrium while learning the true parameter. Inspired by the social learning literature, we propose a distributed non-Bayesian rule
Externí odkaz:
http://arxiv.org/abs/2303.07212
No-regret learning has been widely used to compute a Nash equilibrium in two-person zero-sum games. However, there is still a lack of regret analysis for network stochastic zero-sum games, where players competing in two subnetworks only have access t
Externí odkaz:
http://arxiv.org/abs/2205.14662
Autor:
Yuan, Mao, Zhu, Weiwei, Zhang, Haiyan, Huang, Shijie, Xue, Mengyao, Li, Di, Yue, Youling, Wang, Pei, Niu, 1 Jiarui, Hu, Yuxuan, Li, Chunjiang, Miao, Chenchen, Wang, Yu, Meng, Lingqi, Peng, Bo
Publikováno v:
published in MNRAS,15 April 2022
Radio frequency interference (RFI) is a significant challenge faced by today's radio astronomers. While most past efforts were devoted to cleaning the RFI from the data, we develop a novel method for categorizing and cataloguing RFI for forensic purp
Externí odkaz:
http://arxiv.org/abs/2205.08724
Publikováno v:
In Journal of Computational Physics 15 September 2024 513
Publikováno v:
In Expert Systems With Applications 1 January 2025 259
In this paper, we consider a distributed learning problem in a subnetwork zero-sum game, where agents are competing in different subnetworks. These agents are connected through time-varying graphs where each agent has its own cost function and can re
Externí odkaz:
http://arxiv.org/abs/2108.02144
Publikováno v:
In Tribology International April 2024 192