Zobrazeno 1 - 10
of 66 050
pro vyhledávání: '"WANG, Yong"'
Autor:
Liu, Siyao, Wang, Yong
In [21] and [22], we proved the Kastler-Kalau-Walze type theorem for the J-twist DJ of the Dirac operator on 3-dimensional, 4-dimensional and 6-dimensional almost product Riemannian spin manifold with boundary. In this paper, we generalize our previo
Externí odkaz:
http://arxiv.org/abs/2406.16368
Autor:
Wu, Tong, Wang, Yong
In [5], Connes and Chamseddine defined a Hochschild cocycle in the general framework of noncommutative geometry. They computed this Hochschild cocycle for the Dirac operator on 4-dimensioanl manifolds. We propose a way to study the Connes-Chamseddine
Externí odkaz:
http://arxiv.org/abs/2406.14300
Autor:
Wu, Yizhang, Liu, Yihan, Li, Yuan, Wei, Ziquan, Xing, Sicheng, Wang, Yunlang, Zhu, Dashuai, Guo, Ziheng, Zhang, Anran, Yuan, Gongkai, Zhang, Zhibo, Huang, Ke, Wang, Yong, Wu, Guorong, Cheng, Ke, Bai, Wubin
Symmetry lies at the heart of 2D bioelectronics, determining material properties at the fundamental level. Breaking the symmetry allows emergent functionalities and effects. However, symmetry modulation in 2D bioelectronics and the resultant applicat
Externí odkaz:
http://arxiv.org/abs/2406.13958
Autor:
Wu, Yizhang, Li, Yuan, Liu, Yihan, Zhu, Dashuai, Xing, Sicheng, Lambert, Noah, Weisbecker, Hannah, Liu, Siyuan, Davis, Brayden, Zhang, Lin, Wang, Meixiang, Yuan, Gongkai, You, Chris Zhoufan, Zhang, Anran, Duncan, Cate, Xie, Wanrong, Wang, Yihang, Wang, Yong, Kanamurlapudi, Sreya, Evert, Garcia-Guzman, Putcha, Arjun, Dickey, Michael D., Huang, Ke, Bai, Wubin
Bioelectronic implants with soft mechanics, biocompatibility, and excellent electrical performance enable biomedical implants to record electrophysiological signals and execute interventions within internal organs, promising to revolutionize the diag
Externí odkaz:
http://arxiv.org/abs/2406.13956
It is common to compare state changes of multiple data items and identify which data items have changed more in various applications (e.g., annual GDP growth of different countries and daily increase of new COVID-19 cases in different regions). Group
Externí odkaz:
http://arxiv.org/abs/2406.13721
Deep learning with physics-informed neural networks (PINNs) has emerged as a highly popular and effective approach for solving partial differential equations(PDEs). In this paper, we first investigate the extrapolation capability of the PINN method f
Externí odkaz:
http://arxiv.org/abs/2406.12460
Autor:
Li, Haoling, Li, Changhao, Xue, Mengqi, Fang, Gongfan, Zhou, Sheng, Feng, Zunlei, Wang, Huiqiong, Wang, Yong, Cheng, Lechao, Song, Mingli, Song, Jie
Structural pruning has emerged as a promising approach for producing more efficient models. Nevertheless, the community suffers from a lack of standardized benchmarks and metrics, leaving the progress in this area not fully comprehended. To fill this
Externí odkaz:
http://arxiv.org/abs/2406.12315
Autor:
Ma, Tian-Xiang, Wang, Yong-Qiang
In this paper, we present a solution for a five-dimensional boson star under gravity with infinite tower of higher curvature corrections. We discover that when the coupling constant exceeds a certain threshold, an alternative configuration emerges, d
Externí odkaz:
http://arxiv.org/abs/2406.08813
Autor:
Li, Yinglong, Wu, Hongyu, Wang, Xiaogang, Qin, Qingzhao, Zhao, Yijiao, wang, Yong, Hao, Aimin
We propose FaceCom, a method for 3D facial shape completion, which delivers high-fidelity results for incomplete facial inputs of arbitrary forms. Unlike end-to-end shape completion methods based on point clouds or voxels, our approach relies on a me
Externí odkaz:
http://arxiv.org/abs/2406.02074
Reinforcement Learning from Human Feedback (RLHF) has been commonly used to align the behaviors of Large Language Models (LLMs) with human preferences. Recently, a popular alternative is Direct Policy Optimization (DPO), which replaces an LLM-based r
Externí odkaz:
http://arxiv.org/abs/2405.21040