Zobrazeno 1 - 10
of 14 543
pro vyhledávání: '"Chang, Hong"'
In this paper, we first focus on the speed selection problem for the reaction-diffusion equation of the monostable type. By investigating the decay rates of the minimal traveling wave front, we propose a sufficient and necessary condition that reveal
Externí odkaz:
http://arxiv.org/abs/2408.10480
Autor:
Tan, Wei, Liu, Wei-Xin, Chen, Ying-Xin, Zhou, Chi-Hua, Zhao, Guo-Dong, Chang, Hong, Wang, Tao
Manipulating quantum states is at the heart of quantum information processing and quantum metrology. Landau-Zener Rabi oscillation (LZRO), which arises from a quantum two-level system swept repeatedly across the avoided crossing point in the time dom
Externí odkaz:
http://arxiv.org/abs/2408.09922
Traditional semi-supervised learning (SSL) assumes that the feature distributions of labeled and unlabeled data are consistent which rarely holds in realistic scenarios. In this paper, we propose a novel SSL setting, where unlabeled samples are drawn
Externí odkaz:
http://arxiv.org/abs/2405.20596
Autor:
Luo, Mingshuang, Hou, Ruibing, Li, Zhuo, Chang, Hong, Liu, Zimo, Wang, Yaowei, Shan, Shiguang
This paper presents M$^3$GPT, an advanced $\textbf{M}$ultimodal, $\textbf{M}$ultitask framework for $\textbf{M}$otion comprehension and generation. M$^3$GPT operates on three fundamental principles. The first focuses on creating a unified representat
Externí odkaz:
http://arxiv.org/abs/2405.16273
Autor:
Zhao, Jiahe, Hou, Ruibing, Chang, Hong, Gu, Xinqian, Ma, Bingpeng, Shan, Shiguang, Chen, Xilin
Current clothes-changing person re-identification (re-id) approaches usually perform retrieval based on clothes-irrelevant features, while neglecting the potential of clothes-relevant features. However, we observe that relying solely on clothes-irrel
Externí odkaz:
http://arxiv.org/abs/2404.09507
Autor:
Li, Xuetong, Gao, Yuan, Chang, Hong, Huang, Danyang, Ma, Yingying, Pan, Rui, Qi, Haobo, Wang, Feifei, Wu, Shuyuan, Xu, Ke, Zhou, Jing, Zhu, Xuening, Zhu, Yingqiu, Wang, Hansheng
This paper presents a selective review of statistical computation methods for massive data analysis. A huge amount of statistical methods for massive data computation have been rapidly developed in the past decades. In this work, we focus on three ca
Externí odkaz:
http://arxiv.org/abs/2403.11163
Multi-modal 3D object detection has exhibited significant progress in recent years. However, most existing methods can hardly scale to long-range scenarios due to their reliance on dense 3D features, which substantially escalate computational demands
Externí odkaz:
http://arxiv.org/abs/2403.10036
Few-shot learning (FSL) aims to learn novel tasks with very few labeled samples by leveraging experience from \emph{related} training tasks. In this paper, we try to understand FSL by delving into two key questions: (1) How to quantify the relationsh
Externí odkaz:
http://arxiv.org/abs/2403.03535
Publikováno v:
JMIR Medical Informatics, Vol 8, Iss 11, p e20031 (2020)
BackgroundHuman sperm quality fluctuates over time. Therefore, it is crucial for couples preparing for natural pregnancy to monitor sperm motility. ObjectiveThis study verified the performance of an artificial intelligence–based image recognition
Externí odkaz:
https://doaj.org/article/7064e42ed206406c945ddcc91165bdb8
Autor:
Lu, Xiao-Tong, Guo, Feng, Liu, Yan-Yan, Xia, Jing-Jing, Zhao, Guo-Dong, Chen, Ying-Xin, Wang, Ye-Bing, Lu, Ben-Quan, Chang, Hong
We report a measurement of the radiative lifetime of the $5s5p \; {}^{\rm{3}}P^{\rm{o}}_{\rm{0}}$ metastable state in ${}^{87}$Sr, which is coupled to the 5$s^{\rm{2}} \;$ ${}^{\rm{1}}S_{\rm{0}}$ ground state via a hyperfine-induced electric dipole t
Externí odkaz:
http://arxiv.org/abs/2401.11173