Zobrazeno 1 - 10
of 869
pro vyhledávání: '"Zhang Jian"'
Autor:
Jing, Naihuan, Zhang, Jian
$q$-Yangians can be viewed as quantum deformations of the upper triangular loop Lie algebras, and also be viewed as deformation of the Yangian algebra. In this paper, we study the twisted $q$-Yangians as coideal subalgebras of the quantum affine alge
Externí odkaz:
http://arxiv.org/abs/2408.04340
Open-source software (OSS) vulnerabilities are increasingly prevalent, emphasizing the importance of security patches. However, in widely used security platforms like NVD, a substantial number of CVE records still lack trace links to patches. Althoug
Externí odkaz:
http://arxiv.org/abs/2407.17065
In this paper, the inverse scattering transform for the integrable discrete nonlocal PT symmetric nonlinear Schr\"odinger equation with nonzero boundary conditions is presented. According to the two different signs of symmetry reduction and two diffe
Externí odkaz:
http://arxiv.org/abs/2407.16343
Domain generalization (DG) aims to avoid the performance degradation of the model when the distribution shift between the limited training data and unseen test data occurs. Recently, foundation models with enormous parameters have been pre-trained wi
Externí odkaz:
http://arxiv.org/abs/2407.15085
Quantum phase estimation based on Gaussian states plays a crucial role in many application fields. In this paper, we study the precision bound for the scheme using two-mode squeezed Gaussian states. The quantum Fisher information is calculated and it
Externí odkaz:
http://arxiv.org/abs/2407.13433
Despite the recent success of domain generalization in medical image segmentation, voxel-wise annotation for all source domains remains a huge burden. Semi-supervised domain generalization has been proposed very recently to combat this challenge by l
Externí odkaz:
http://arxiv.org/abs/2407.11356
Autor:
Jiang, Jincen, Zhou, Qianyu, Li, Yuhang, Lu, Xuequan, Wang, Meili, Ma, Lizhuang, Chang, Jian, Zhang, Jian Jun
Recent point cloud understanding research suffers from performance drops on unseen data, due to the distribution shifts across different domains. While recent studies use Domain Generalization (DG) techniques to mitigate this by learning domain-invar
Externí odkaz:
http://arxiv.org/abs/2407.08801
Inspired by the hunt for new phases of matter in quantum mixed states, it has recently been proposed that the equivalence of microcanonical and canonical ensembles in statistical mechanics is a manifestation of strong-to-weak spontaneous symmetry bre
Externí odkaz:
http://arxiv.org/abs/2407.08760
Autor:
Li, Shaoning, Li, Mingyu, Wang, Yusong, He, Xinheng, Zheng, Nanning, Zhang, Jian, Heng, Pheng-Ann
Investigating conformational landscapes of proteins is a crucial way to understand their biological functions and properties. AlphaFlow stands out as a sequence-conditioned generative model that introduces flexibility into structure prediction models
Externí odkaz:
http://arxiv.org/abs/2407.12053
During software evolution, it is advocated that test code should co-evolve with production code. In real development scenarios, test updating may lag behind production code changing, which may cause the project to fail to compile or bring other troub
Externí odkaz:
http://arxiv.org/abs/2407.03625