Zobrazeno 1 - 10
of 1 048 428
pro vyhledávání: '"Long AS"'
Autor:
Chen, Jing, Chen, Ji-Yuan, Chen, Jun-Feng, Chen, Xiang, Fu, Chang-Bo, Guo, Jun, Guo, Yi-Han, Khaw, Kim Siang, Li, Jia-Lin, Li, Liang, Li, Shu, Lin, Yu-ming, Liu, Dan-Ning, Liu, Kang, Liu, Kun, Liu, Qi-Bin, Liu, Zhi, Lu, Ze-Jia, Lv, Meng, Song, Si-Yuan, Sun, Tong, Tang, Jian-Nan, Wan, Wei-Shi, Wang, Dong, Wang, Xiao-Long, Wang, Yu-Feng, Wang, Zhen, Wang, Zi-Rui, Wu, Wei-Hao, Yang, Hai-Jun, Yang, Lin, Yang, Yong, Yu, Dian, Yuan, Rui, Zhang, Jun-Hua, Zhang, Yu-Lei, Zhang, Yun-Long, Zhao, Zhi-Yu, Zhou, Bai-Hong, Zhu, Chun-Xiang, Zhu, Xu-Liang, Zhu, Yi-Fan
DarkSHINE is a newly proposed fixed-target experiment initiative to search for the invisible decay of Dark Photon via missing energy/momentum signatures, based on the high repetition rate electron beam to be deployed/delivered by the Shanghai High re
Externí odkaz:
http://arxiv.org/abs/2411.09345
We study the three-dimensional Carrollian field theory on the Rindler horizon which is dual to a bulk massless scalar field theory in the four-dimensional Rindler wedge. The Carrollian field theory could be mapped to a two-dimensional Euclidean field
Externí odkaz:
http://arxiv.org/abs/2410.20372
Autor:
Ma, Xiao-Ping, Zhang, Lu, Wang, Wen-Tao, Nie, Jing-Zhe, Tian, Huan-Fang, Wu, Shi-Long, Sun, Shuai-Shuai, Xia, Tian-Long, Li, Jun, Li, Jian-Qi, Yang, Huai-Xin
Employing aberration-corrected scanning transmission electron microscopy (STEM), we meticulously investigated the intrinsic chemical heterogeneity of Fe1+yTe, Fe1+yTe0.8Se0.2, and Fe1+yTe0.5Se0.5. Comprehensive analysis reveals the presence of inters
Externí odkaz:
http://arxiv.org/abs/2410.03121
In the first paper of this sequence, we provided an explicit hypergeometric modularity method by combining different techniques from the classical, $p$-adic, and finite field settings. In this article, we explore an application of this method from a
Externí odkaz:
http://arxiv.org/abs/2411.15116
With the advancement of large language models (LLMs), researchers have explored various methods to optimally leverage their comprehension and generation capabilities in sequential recommendation scenarios. However, several challenges persist in this
Externí odkaz:
http://arxiv.org/abs/2411.14922
Autor:
Long, Wanqiu, Webber, Bonnie
Implicit discourse relation recognition involves determining relationships that hold between spans of text that are not linked by an explicit discourse connective. In recent years, the pre-train, prompt, and predict paradigm has emerged as a promisin
Externí odkaz:
http://arxiv.org/abs/2411.14880
This paper is devoted to the study of acceleration methods for an inequality constrained convex optimization problem by using Lyapunov functions. We first approximate such a problem as an unconstrained optimization problem by employing the logarithmi
Externí odkaz:
http://arxiv.org/abs/2411.14828
In this article, we address the challenge of identifying skilled mutual funds among a large pool of candidates, utilizing the linear factor pricing model. Assuming observable factors with a weak correlation structure for the idiosyncratic error, we p
Externí odkaz:
http://arxiv.org/abs/2411.14016
Autor:
Hou, Hongting, Zhang, Long
Motivated by the recent observation of real-space edge modes with ultracold atoms [Braun et al., Nat. Phys. 20, 1306 (2024)], we investigate the preparation and detection of anomalous counterpropagating edge states -- a defining feature of the anomal
Externí odkaz:
http://arxiv.org/abs/2411.13940
Autor:
Yang, Xue, Zhou, Rigui, Jia, ShiZheng, Li, YaoChong, Yan, Jicheng, Long, ZhengYu, Guo, Wenyu, Xiong, Fuhui, Xu, Wenshan
Leveraging quantum computing's intrinsic properties to enhance machine learning has shown promise, with quantum generative adversarial networks (QGANs) demonstrating benefits in data generation. However, the application of QGANs to complex unsupervis
Externí odkaz:
http://arxiv.org/abs/2411.13920