Zobrazeno 1 - 10
of 7 676
pro vyhledávání: '"An Zheng-Hua"'
Autor:
Feng, Pei-Yi, An, Zheng-Hua, Li, Yu-Hui, Le, Qi, Zhang, Da-Li, Li, Xin-Qiao, Xiong, Shao-Lin, Liu, Cong-Zhan, Liu, Wei-Bin, Wang, Jian-Li, Deng, Bing-Lin, Xu, He, Lu, Hong
The Gamma-Ray Transient Monitor (GTM) is an all-sky monitor onboard the Distant Retrograde Orbit-A (DRO-A) satellite, with the scientific objective of detecting gamma-ray bursts in the energy range of 20 keV to 1 MeV. The GTM is equipped with five Ga
Externí odkaz:
http://arxiv.org/abs/2411.18988
Autor:
Lei, An-Ke, She, Zhi-Lei, Yan, Yu-Liang, Zhou, Dai-Mei, Zheng, Liang, Zhang, Wen-Chao, Zheng, Hua, Bravina, Larissa V., Zabrodin, Evgeny E., Sa, Ben-Hao
Parton And-hadron China Institute of Atomic Energy (PACIAE) is a multipurpose Monte Carlo event generator developed to describe a wide range of high-energy collisions, including lepton-lepton, lepton-hadron, lepton-nucleus, hadron-hadron, hadron-nucl
Externí odkaz:
http://arxiv.org/abs/2411.14255
We investigate the pre-equilibrium dipole response in the charge-asymmetric reaction $^{40}$Ca+$^{152}$Sm, of recent experimental interest, at several beam energies within the range $[5, 11]$ AMeV and different collision centralities. By employing Sk
Externí odkaz:
http://arxiv.org/abs/2411.07159
In this work, we present BiSSL, a first-of-its-kind training framework that introduces bilevel optimization to enhance the alignment between the pretext pre-training and downstream fine-tuning stages in self-supervised learning. BiSSL formulates the
Externí odkaz:
http://arxiv.org/abs/2410.02387
Autor:
Kühne, Nikolai L., Kitchen, Astrid H. F., Jensen, Marie S., Brøndt, Mikkel S. L., Gonzalez, Martin, Biscio, Christophe, Tan, Zheng-Hua
Automatic speech recognition (ASR) systems are known to be vulnerable to adversarial attacks. This paper addresses detection and defence against targeted white-box attacks on speech signals for ASR systems. While existing work has utilised diffusion
Externí odkaz:
http://arxiv.org/abs/2409.07936
Speech signals encompass various information across multiple levels including content, speaker, and style. Disentanglement of these information, although challenging, is important for applications such as voice conversion. The contrastive predictive
Externí odkaz:
http://arxiv.org/abs/2409.03520
While the transformer has emerged as the eminent neural architecture, several independent lines of research have emerged to address its limitations. Recurrent neural approaches have also observed a lot of renewed interest, including the extended long
Externí odkaz:
http://arxiv.org/abs/2408.16568
Autor:
Shi, Jia-Hao, Qin, Zhi-Ying, Zhang, Jin-Peng, Cao, Jian, Jiang, Ze-Fang, Zhang, Wen-Chao, Zheng, Hua
A non-extensive (3+1)-dimensional hydrodynamic model for multi-particle production processes, NEX-CLVisc, is developed in the framework of CLVisc where the viscous corrections are turned off. It assumes that the non-extensive effects consistently exi
Externí odkaz:
http://arxiv.org/abs/2408.12405
Autor:
Cao, Jian, She, Zhi-Lei, Zhang, Jin-Peng, Shi, Jia-Hao, Qin, Zhi-Ying, Zhang, Wen-Chao, Zheng, Hua, Lei, An-Ke, Zhou, Dai-Mei, Yan, Yu-Liang, Sa, Ben-Hao
Publikováno v:
Physical Review D 110, 054046 (2024)
Inspired by the BESIII newest observation of X(2370) glueball-like particle, we search its productions in both $e^+e^-$ collisions at $\sqrt{s}=$ 4.95 GeV and proton-proton (pp) collisions at $\sqrt{s}=$ 13 TeV with a parton and hadron cascade model
Externí odkaz:
http://arxiv.org/abs/2408.04130
Autor:
She, Zhi-Lei, Lei, An-Ke, Zhang, Wen-Chao, Yan, Yu-Liang, Zhou, Dai-Mei, Zheng, Hua, Sa, Ben-Hao
The parton and hadron cascade model {\footnotesize PACIAE} is employed to confirm the BESIII newest observation of glueball-like particle $\rm X(2370)$ production in $e^+e^-$ collisions at $\sqrt{s}=4.95\,\mathrm{GeV}$. We coalesce the $\rm X(2370)$
Externí odkaz:
http://arxiv.org/abs/2407.07661