Zobrazeno 1 - 10
of 57 856
pro vyhledávání: '"wang, Rui"'
Euclidean representation learning methods have achieved commendable results in image fusion tasks, which can be attributed to their clear advantages in handling with linear space. However, data collected from a realistic scene usually have a non-Eucl
Externí odkaz:
http://arxiv.org/abs/2411.10679
Autor:
Ni, Liwei, Wang, Rui, Liu, Miao, Meng, Xingyu, Lin, Xiaoze, Liu, Junfeng, Luo, Guojie, Chu, Zhufei, Qian, Weikang, Yang, Xiaoyan, Xie, Biwei, Li, Xingquan, Li, Huawei
This paper introduces OpenLS-DGF, an adaptive logic synthesis dataset generation framework, to enhance machine learning~(ML) applications within the logic synthesis process. Previous dataset generation flows were tailored for specific tasks or lacked
Externí odkaz:
http://arxiv.org/abs/2411.09422
Solving constrained multi-objective optimization problems (CMOPs) is a challenging task. While many practical algorithms have been developed to tackle CMOPs, real-world scenarios often present cases where the constraint functions are unknown or unqua
Externí odkaz:
http://arxiv.org/abs/2411.08437
Estimating the strength of Lorentzian distribution in non-commutative geometry by solar system tests
In this paper, we study four classical tests of Schwarzschild space-time with Lorentzian distribution in non-commutative geometry. We performed detailed calculations of the first-order corrections induced by the non-commutative parameter on planetary
Externí odkaz:
http://arxiv.org/abs/2411.06628
With the rapid growth of digital information, personalized recommendation systems have become an indispensable part of Internet services, especially in the fields of e-commerce, social media, and online entertainment. However, traditional collaborati
Externí odkaz:
http://arxiv.org/abs/2411.06374
Autor:
Liu, Yikang, Shen, Yeting, Zhu, Hongao, Xu, Lilong, Qian, Zhiheng, Song, Siyuan, Zhang, Kejia, Tang, Jialong, Zhang, Pei, Yang, Baosong, Wang, Rui, Hu, Hai
Whether and how language models (LMs) acquire the syntax of natural languages has been widely evaluated under the minimal pair paradigm. However, a lack of wide-coverage benchmarks in languages other than English has constrained systematic investigat
Externí odkaz:
http://arxiv.org/abs/2411.06096
Applications that run in large-scale data center networks (DCNs) rely on the DCN's ability to deliver application requests in a performant manner. DCNs expose a complex design and operational space, and network designers and operators care how differ
Externí odkaz:
http://arxiv.org/abs/2411.06004
Autor:
Li, Bei, Zheng, Tong, Wang, Rui, Liu, Jiahao, Guo, Qingyan, Guo, Junliang, Tan, Xu, Xiao, Tong, Zhu, Jingbo, Wang, Jingang, Cai, Xunliang
Residual networks, as discrete approximations of Ordinary Differential Equations (ODEs), have inspired significant advancements in neural network design, including multistep methods, high-order methods, and multi-particle dynamical systems. The preci
Externí odkaz:
http://arxiv.org/abs/2411.03042
The gyrotropic magnetic effect, manifesting as a gyropropic current under a slowly-varying magnetic field, represents a fundamental property of Bloch electrons on the Fermi surface; however, it has not been observed in experiments. Here, we theoretic
Externí odkaz:
http://arxiv.org/abs/2411.02916
Image restoration has experienced significant advancements due to the development of deep learning. Nevertheless, it encounters challenges related to ill-posed problems, resulting in deviations between single model predictions and ground-truths. Ense
Externí odkaz:
http://arxiv.org/abs/2410.22959