Zobrazeno 1 - 10
of 7 575
pro vyhledávání: '"LIANG Jian"'
Autor:
Liang, Jian, Cheng, JunSheng
Fires can cause severe damage to heritage buildings, making timely fire detection essential. Traditional dense cabling and drilling can harm these structures, so reducing the number of cameras to minimize such impact is challenging. Additionally, avo
Externí odkaz:
http://arxiv.org/abs/2411.13997
Autor:
Chu, Min-Huan, Bai, Haoyang, Hua, Jun, Liang, Jian, Ji, Xiangdong, Schafer, Andreas, Su, Yushan, Wang, Wei, Yang, Yi-Bo, Zeng, Jun, Zhang, Jian-Hui, Zhang, Qi-An
We calculate the leading-twist light-cone distribution amplitudes of the light $\Lambda$ baryon using lattice methods within the framework of large momentum effective theory. Our numerical computations are conducted employing $N_f=2+1$ stout smeared
Externí odkaz:
http://arxiv.org/abs/2411.12554
Autor:
Huang, Wenke, Liang, Jian, Shi, Zekun, Zhu, Didi, Wan, Guancheng, Li, He, Du, Bo, Tao, Dacheng, Ye, Mang
Multimodal Large Language Model (MLLM) have demonstrated strong generalization capabilities across diverse distributions and tasks, largely due to extensive pre-training datasets. Fine-tuning MLLM has become a common practice to improve performance o
Externí odkaz:
http://arxiv.org/abs/2411.10928
We perform the first Lattice calculation about the charmed hadron spin decomposition using overlap fermions on a 2+1 flavor RBC/UKQCD domain-wall gauge configurations at 0.083 fm with 300 MeV pion mass. It is found that the contributions of quark spi
Externí odkaz:
http://arxiv.org/abs/2410.08046
Federated Learning (FL) allows collaborative machine learning training without sharing private data. Numerous studies have shown that one significant factor affecting the performance of federated learning models is the heterogeneity of data across di
Externí odkaz:
http://arxiv.org/abs/2409.18578
Out-of-distribution (OOD) detection aims to detect test samples outside the training category space, which is an essential component in building reliable machine learning systems. Existing reviews on OOD detection primarily focus on method taxonomy,
Externí odkaz:
http://arxiv.org/abs/2409.11884
Low-rank adaptation, also known as LoRA, has emerged as a prominent method for parameter-efficient fine-tuning of foundation models. Despite its computational efficiency, LoRA still yields inferior performance compared to full fine-tuning. In this pa
Externí odkaz:
http://arxiv.org/abs/2407.18242
Test-time adaptation (TTA) aims to address the distribution shift between the training and test data with only unlabeled data at test time. Existing TTA methods often focus on improving recognition performance specifically for test data associated wi
Externí odkaz:
http://arxiv.org/abs/2407.15773
Structure-dynamics correlation is one of the major ongoing debates in the glass transition, although a number of structural features have been found connected to the dynamic heterogeneity in different glass-forming colloidal systems. Here using collo
Externí odkaz:
http://arxiv.org/abs/2407.11479
The decay $\eta\to \pi^+\pi^-\pi^0$ is an ideal process in which to study flavor-conserving $C$ and $CP$ violation beyond the Standard Model. We deduce the $C$- and $CP$-odd quark operators that contribute to $\eta\to \pi^+\pi^-\pi^0$ originating fro
Externí odkaz:
http://arxiv.org/abs/2407.08766