Zobrazeno 1 - 10
of 8 192
pro vyhledávání: '"HUANG, YAO"'
Autor:
Ruan, Shouwei, Liu, Hanqing, Huang, Yao, Wang, Xiaoqi, Kang, Caixin, Su, Hang, Dong, Yinpeng, Wei, Xingxing
Vision Language Models (VLMs) have exhibited remarkable generalization capabilities, yet their robustness in dynamic real-world scenarios remains largely unexplored. To systematically evaluate VLMs' robustness to real-world 3D variations, we propose
Externí odkaz:
http://arxiv.org/abs/2412.03002
Autor:
Huang, Yao-Huei1 (AUTHOR), Hu, Bohan2 (AUTHOR), Hwang, F. J.3 (AUTHOR) feng-jang.hwang@mail.nsysu.edu.tw
Publikováno v:
International Journal of Production Research. Dec2024, p1-22. 22p. 15 Illustrations, 26 Charts.
Autor:
Zhang, Yichi, Huang, Yao, Sun, Yitong, Liu, Chang, Zhao, Zhe, Fang, Zhengwei, Wang, Yifan, Chen, Huanran, Yang, Xiao, Wei, Xingxing, Su, Hang, Dong, Yinpeng, Zhu, Jun
Despite the superior capabilities of Multimodal Large Language Models (MLLMs) across diverse tasks, they still face significant trustworthiness challenges. Yet, current literature on the assessment of trustworthy MLLMs remains limited, lacking a holi
Externí odkaz:
http://arxiv.org/abs/2406.07057
Vision-Language Pre-training (VLP) models like CLIP have achieved remarkable success in computer vision and particularly demonstrated superior robustness to distribution shifts of 2D images. However, their robustness under 3D viewpoint variations is
Externí odkaz:
http://arxiv.org/abs/2404.12139
Autor:
Lo, Wei-Cheng, Wang, Fu-Chung, Lin, Li-Yin, Jyan, Hong-Wei, Wu, Hsuan-Chien, Huang, Yao-Liang, Parng, I-Ming, Chiou, Hung-Yi
Publikováno v:
Journal of Medical Internet Research, Vol 23, Iss 5, p e24294 (2021)
Digital technology has been widely used in health care systems and disease management, as well as in controlling the spread of COVID-19. As one of the most successful countries in combating the COVID-19 pandemic, Taiwan has successfully used digital
Externí odkaz:
https://doaj.org/article/e35929b4acfa4b18933a008af27d7b75
Autor:
Huang, Yao
This paper has three chapters. In the first chapter, we develop a measure of housing sentiment for 24 cities in China by parsing through newspaper articles from 2006 to 2017.We find that the sentiment index has strong predictive power for future hous
Externí odkaz:
http://hdl.handle.net/10919/97518
Autor:
Chen, Bo, Liu, Hao, Wu, Qi-Yi, Zhang, Chen, Ye, Xue-Qing, Zhao, Yin-Zou, Song, Jiao-Jiao, Tian, Xin-Yi, Tan, Ba-Lei, Liu, Zheng-Tai, Ye, Mao, Chen, Zhen-Hua, Huang, Yao-Bo, Shen, Da-Wei, Yuan, Ya-Hua, He, Jun, Duan, Yu-Xia, Meng, Jian-Qiao
Publikováno v:
Phys. Rev. B 110, L041120 (2024)
In this study, we investigate the electronic structure of a spin-triplet superconductor candidate CeRh$_2$As$_2$ using high-resolution angle-resolved photoemission spectroscopy and density functional theory calculations. Notably, Fermi surface nestin
Externí odkaz:
http://arxiv.org/abs/2403.14057
Autor:
Guan, Hua, Qi, Xiao-Qiu, Zhou, Peng-Peng, Sun, Wei, Chen, Shao-Long, Chang, Xu-Rui, Huang, Yao, Zhang, Pei-Pei, Yan, Zong-Chao, Drake, G. W. F., Chen, Ai-Xi, Zhong, Zhen-Xiang, Shi, Ting-Yun, Gao, Ke-Lin
The optical Ramsey technique is used to obtain precise measurements of the hyperfine splittings in the $2\,^3\!S_1$ and $2\,^3\!P_J$ states of $^7$Li$^+$. Together with bound-state quantum electrodynamic theory, the Zemach radius and quadrupole momen
Externí odkaz:
http://arxiv.org/abs/2403.06384
Federated Contrastive Learning (FCL) represents a burgeoning approach for learning from decentralized unlabeled data while upholding data privacy. In FCL, participant clients collaborate in learning a global encoder using unlabeled data, which can se
Externí odkaz:
http://arxiv.org/abs/2404.16850
Compared with transferable untargeted attacks, transferable targeted adversarial attacks could specify the misclassification categories of adversarial samples, posing a greater threat to security-critical tasks. In the meanwhile, 3D adversarial sampl
Externí odkaz:
http://arxiv.org/abs/2312.09558