Zobrazeno 1 - 10
of 40 240
pro vyhledávání: '"An, Chunmei"'
Autor:
Wang, Chunmei, Zhang, Shangyou
This paper presents a weak Galerkin (WG) finite element method for linear elasticity on general polygonal and polyhedral meshes, free from convexity constraints, by leveraging bubble functions as central analytical tools. The proposed method eliminat
Externí odkaz:
http://arxiv.org/abs/2411.17879
Generative foundation models can revolutionize the design of semantic communication (SemCom) systems allowing high fidelity exchange of semantic information at ultra low rates. In this work, a generative SemCom framework with pretrained foundation mo
Externí odkaz:
http://arxiv.org/abs/2411.04575
Autor:
Wang, Chunmei, Zhang, Shangyou
This paper presents an efficient weak Galerkin (WG) finite element method with reduced stabilizers for solving the time-harmonic Maxwell equations on both convex and non-convex polyhedral meshes. By employing bubble functions as a critical analytical
Externí odkaz:
http://arxiv.org/abs/2410.20615
Utilizing functional near-infrared spectroscopy (fNIRS) signals for emotion recognition is a significant advancement in understanding human emotions. However, due to the lack of artificial intelligence data and algorithms in this field, current resea
Externí odkaz:
http://arxiv.org/abs/2409.16081
The Open Radio Access Network (O-RAN) initiative, characterized by open interfaces and AI/ML-capable RAN Intelligent Controller (RIC), facilitates effective spectrum sharing among RANs. In this context, we introduce AdapShare, an ORAN-compatible solu
Externí odkaz:
http://arxiv.org/abs/2408.16842
Autor:
Wang, Chunmei
This paper introduces an auto-stabilized weak Galerkin (WG) finite element method for biharmonic equations with built-in stabilizers. Unlike existing stabilizer-free WG methods limited to convex elements in finite element partitions, our approach acc
Externí odkaz:
http://arxiv.org/abs/2409.05887
Autor:
Yang, Xuemei, Zhang, Dunxiang, Wang, Weizhe, Tian, Kan, He, Linzhen, Guo, Jinmiao, Hu, Bo, Pu, Tao, Li, Wenlong, Sun, Shiran, Ding, Chunmei, Wu, Han, Li, Kenkai, Peng, Yujie, Li, Jianshu, Leng, Yuxin, Liang, Houkun
High-power broadband tunable long-wavelength infrared (LWIR) femtosecond lasers operating at fingerprint wavelengths of 7-14 {\mu}m hold significant promise across a range of applications, including molecular hyperspectral imaging, strong-field light
Externí odkaz:
http://arxiv.org/abs/2408.13789
We propose a novel formulation for parametric finite element methods to simulate surface diffusion of closed curves, which is also called as the curve diffusion. Several high-order temporal discretizations are proposed based on this new formulation.
Externí odkaz:
http://arxiv.org/abs/2408.13443
Autor:
Wang, Chunmei
This paper introduces an auto-stabilized weak Galerkin (WG) finite element method with a built-in stabilizer for Poisson equations. By utilizing bubble functions as a key analytical tool, our method extends to both convex and non-convex elements in f
Externí odkaz:
http://arxiv.org/abs/2408.11927
Recent advancements in diffusion models have made a significant breakthrough in generative modeling. The combination of the generative model and semantic communication (SemCom) enables high-fidelity semantic information exchange at ultra-low rates. A
Externí odkaz:
http://arxiv.org/abs/2407.03050