Zobrazeno 1 - 10
of 42 239
pro vyhledávání: '"Wang,Min"'
Autor:
Wang, Min, Zhang, Zhimin
The Fredholm-Hammerstein integral equations (FHIEs) with weakly singular kernels exhibit multi-point singularity at the endpoints or boundaries. The dense discretized matrices result in high computational complexity when employing numerical methods.
Externí odkaz:
http://arxiv.org/abs/2410.22759
Autor:
Wang, Min
We study a class of positive random variables having moments of Gamma type, whose density can be expressed by the three-parametric Mittag-Leffler functions. We give some necessary conditions and some sufficient conditions for their existence. As a co
Externí odkaz:
http://arxiv.org/abs/2410.19330
Artificial intelligence (AI) has become a buzz word since Google's AlphaGo beat a world champion in 2017. In the past five years, machine learning as a subset of the broader category of AI has obtained considerable attention in the research community
Externí odkaz:
http://arxiv.org/abs/2410.14767
In this paper, we propose multicontinuum splitting schemes for multiscale problems, focusing on a parabolic equation with a high-contrast coefficient. Using the framework of multicontinuum homogenization, we introduce spatially smooth macroscopic var
Externí odkaz:
http://arxiv.org/abs/2410.05253
Autor:
Xu, Yonghua, Wen, Zhigang, Yuan, Jianping, Wang, Zhen, Duan, Xuefeng, Wang, Na, Wang, Min, Wang, Hongguang, Rusul, Abdujappar, Hao, Longfei, Han, Wei
We have carried out a detailed study of individual pulse emission from the pulsar J1741$-$0840 (B1738$-$08), observed using the Parkes and Effelsberg radio telescopes at the $L$ band. The pulsar exhibits four emission components which are not well re
Externí odkaz:
http://arxiv.org/abs/2409.20128
Embodied Everyday Task is a popular task in the embodied AI community, requiring agents to make a sequence of actions based on natural language instructions and visual observations. Traditional learning-based approaches face two challenges. Firstly,
Externí odkaz:
http://arxiv.org/abs/2409.11279
Autor:
Xing, Tianyi, Liu, Junxuan, Zhang, Likang, Wang, Min-Yan, Li, Yu-Huai, Liu, Ruiyin, Peng, Qingquan, Wang, Dongyang, Wang, Yaxuan, Liu, Hongwei, Li, Wei, Cao, Yuan, Huang, Anqi
One of the most significant vulnerabilities in the source unit of quantum key distribution (QKD) is the correlation between quantum states after modulation, which shall be characterized and evaluated for its practical security performance. In this wo
Externí odkaz:
http://arxiv.org/abs/2408.07960
Autor:
Zheng, Muxi, Zeng, Jinfeng, Yang, Wentao, Chang, Pei-Jie, Yan, Bao, Zhang, Haoran, Wang, Min, Wei, Shijie, Long, Gui-Lu
The Learning-With-Errors (LWE) problem is a crucial computational challenge with significant implications for post-quantum cryptography and computational learning theory. Here we propose a quantum-classical hybrid algorithm with Ising model (HAWI) to
Externí odkaz:
http://arxiv.org/abs/2408.07936
Autor:
Huang, Shoujin, Luo, Guanxiong, Wang, Yuwan, Yang, Kexin, Zhang, Lingyan, Liu, Jingzhe, Guo, Hua, Wang, Min, Lyu, Mengye
Simultaneous multislice (SMS) imaging is a powerful technique for accelerating magnetic resonance imaging (MRI) acquisitions. However, SMS reconstruction remains challenging due to the complex signal interactions between and within the excited slices
Externí odkaz:
http://arxiv.org/abs/2407.21600
Different from traditional video retrieval, sign language retrieval is more biased towards understanding the semantic information of human actions contained in video clips. Previous works typically only encode RGB videos to obtain high-level semantic
Externí odkaz:
http://arxiv.org/abs/2407.16394