Zobrazeno 1 - 10
of 32 154
pro vyhledávání: '"YAN, JUN"'
In response to the rapid growth of global videomtraffic and the limitations of traditional wireless transmission systems, we propose a novel dual-stage vector quantization framework, VQ-DeepVSC, tailored to enhance video transmission over wireless ch
Externí odkaz:
http://arxiv.org/abs/2409.03393
Backdoor attacks, in which a model behaves maliciously when given an attacker-specified trigger, pose a major security risk for practitioners who depend on publicly released language models. Backdoor detection methods aim to detect whether a released
Externí odkaz:
http://arxiv.org/abs/2409.00399
Nowadays, many applications do not exist independently but rely on various frameworks or libraries. The frequent evolution and the complex implementation of framework APIs induce many unexpected post-release crashes. Starting from the crash stack tra
Externí odkaz:
http://arxiv.org/abs/2408.12070
With a broad range of emerging applications in 6G networks, wireless traffic prediction has become a critical component of network management. However, the dynamically shifting distribution of wireless traffic in non-stationary 6G networks presents s
Externí odkaz:
http://arxiv.org/abs/2408.10390
Semantic segmentation is a significant perception task in autonomous driving. It suffers from the risks of adversarial examples. In the past few years, deep learning has gradually transitioned from convolutional neural network (CNN) models with a rel
Externí odkaz:
http://arxiv.org/abs/2408.09839
With the rise of large language models (LLMs), researchers are increasingly exploring their applications in var ious vertical domains, such as software engineering. LLMs have achieved remarkable success in areas including code generation and vulnerab
Externí odkaz:
http://arxiv.org/abs/2408.02479
Autor:
Cambie, Stijn, Yan, Jun
In this paper, we generalise several recent results by Archer and Geary on descents in powers of permutations, and confirm all their conjectures. Specifically, for all $k\in\mathbb{Z}^+$, we prove explicit formulas for the expected numbers of descent
Externí odkaz:
http://arxiv.org/abs/2408.01211
The $f(R)$ modified gravity theory can explain the accelerating expansion of the late Universe without introducing dark energy. In this study, we predict the constraint strength on the $f(R)$ theory using the mock data generated from the China Space
Externí odkaz:
http://arxiv.org/abs/2407.17154
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
Autor:
Liu, He-Xin, Xu, Yan-Jun, Zhang, Shuang-Nan, Yu, Wei, Huang, Yue, Tao, Lian, Zhang, Liang, Yang, Zi-Xu, Zhao, Qing-Chang, Qu, Jin-Lu, Song, Li-Ming
We report data analysis results about the outburst evolution and spectral properties during the hard state of the recently discovered X-ray transient Swift J1727.8-163 as observed by \emph{Insight}-HXMT and NuSTAR. We find that the broadband X-ray sp
Externí odkaz:
http://arxiv.org/abs/2406.03834