Zobrazeno 1 - 10
of 5 631
pro vyhledávání: '"SONG Hao"'
Parity of particle number is a new degree of freedom for manipulating metasurface, while its influence on controlling non-local metasurfaces remains an unresolved and intriguing question. We propose a metasurface consisting of periodically arranged i
Externí odkaz:
http://arxiv.org/abs/2409.00600
Hydrogen and hydrides materials have long been considered promising materials for high-temperature superconductivity. But the extreme pressures required for the metallization of hydrogen-based superconductors limit their applications. Here, we have d
Externí odkaz:
http://arxiv.org/abs/2407.03556
We surely enjoy the larger the better models for their superior performance in the last couple of years when both the hardware and software support the birth of such extremely huge models. The applied fields include text mining and others. In particu
Externí odkaz:
http://arxiv.org/abs/2406.00030
High-contrast refractive indexes are pivotal in dielectric metasurfaces for inducing various exotic phenomena, such as the bound state in the continuum (BIC) and electric mirror (EM). However, the limitations of high-index materials are adverse to th
Externí odkaz:
http://arxiv.org/abs/2404.17132
The question of whether the central limit theorem (CLT) holds for the total number of edges in exponential random graph models (ERGMs) in the subcritical region of parameters has remained an open problem. In this paper, we establish the CLT in a subs
Externí odkaz:
http://arxiv.org/abs/2404.01666
Autor:
Wu, Lijin, Lei, Shanshan, Liao, Feilong, Zheng, Yuanjun, Liu, Yuxin, Fu, Wentao, Song, Hao, Zhou, Jiajun
As the number of IoT devices increases, security concerns become more prominent. The impact of threats can be minimized by deploying Network Intrusion Detection System (NIDS) by monitoring network traffic, detecting and discovering intrusions, and is
Externí odkaz:
http://arxiv.org/abs/2403.17980
Autor:
Song, Hao, Yao, Jiacheng, Li, Zhengxi, Xu, Shaocong, Jin, Shibo, Zhou, Jiajun, Fu, Chenbo, Xuan, Qi, Yu, Shanqing
Over the past few years, federated learning has become widely used in various classical machine learning fields because of its collaborative ability to train data from multiple sources without compromising privacy. However, in the area of graph neura
Externí odkaz:
http://arxiv.org/abs/2403.16004
To enhance precision and comprehensiveness in identifying targets in electric power construction monitoring video, a novel target recognition algorithm utilizing infrared imaging is explored. This algorithm employs a color processing technique based
Externí odkaz:
http://arxiv.org/abs/2402.06152
Autor:
Yao, Liu-Quan, Liu, Song-Hao
In this paper, we consider the symmetric KL-divergence between the sum of independent variables and a Gaussian distribution, and obtain a convergence rates of order $O\left( \frac{\ln n}{\sqrt{n}}\right)$. The proof is based on Stein's method. The co
Externí odkaz:
http://arxiv.org/abs/2401.11381
Publikováno v:
Phys. Rev. Research 6, 013304 (2024)
Fracton codes host unconventional topological states of matter and are promising for fault-tolerant quantum computation due to their large coding space and strong resilience against decoherence and noise. In this work, we investigate the ground-state
Externí odkaz:
http://arxiv.org/abs/2311.11066