Zobrazeno 1 - 10
of 812
pro vyhledávání: '"Gaole An"'
Publikováno v:
Heliyon, Vol 10, Iss 12, Pp e33085- (2024)
Background: Blood metabolites serve as pivotal indicators in identifying and predicting the course of rheumatoid arthritis (RA). However, empirical substantiation of a direct causal link between these serum biomarkers and the development of RA is sti
Externí odkaz:
https://doaj.org/article/66651266879740d69fabbbfeb8f0c70f
Publikováno v:
PLoS ONE, Vol 19, Iss 3, p e0298997 (2024)
Infertility is a significant challenge in modern society, and observed studies have reported the association between telomere length and infertility. Whether this relationship is causal remains controversial.We employed two-sample mendelian randomiza
Externí odkaz:
https://doaj.org/article/3ee3df45651e4f4d8b030d3fcc8c9c28
Powerful predictive AI systems have demonstrated great potential in augmenting human decision making. Recent empirical work has argued that the vision for optimal human-AI collaboration requires 'appropriate reliance' of humans on AI systems. However
Externí odkaz:
http://arxiv.org/abs/2409.14377
Autor:
Dai, Gaole, Tang, Yiming, Fan, Chunkai, Zhang, Qizhe, Zhang, Zhi, Gan, Yulu, Zeng, Chengqing, Zhang, Shanghang, Huang, Tiejun
Pre-trained Artificial Neural Networks (ANNs) exhibit robust pattern recognition capabilities and share extensive similarities with the human brain, specifically Biological Neural Networks (BNNs). We are particularly intrigued by these models' abilit
Externí odkaz:
http://arxiv.org/abs/2409.06706
Rapid advancements in imaging techniques and analytical methods over the past decade have revolutionized our ability to comprehensively probe the biological world at multiple scales, pinpointing the type, quantity, location, and even temporal dynamic
Externí odkaz:
http://arxiv.org/abs/2407.19778
Autor:
Dai, Gaole, Tseng, Cheng-Ching, Wuwu, Qingpo, Zhang, Rongyu, Wang, Shaokang, Lu, Ming, Huang, Tiejun, Zhou, Yu, Tuz, Ali Ata, Gunzer, Matthias, Chen, Jianxu, Zhang, Shanghang
The rapid pace of innovation in biological microscopy imaging has led to large images, putting pressure on data storage and impeding efficient sharing, management, and visualization. This necessitates the development of efficient compression solution
Externí odkaz:
http://arxiv.org/abs/2405.19012
Autor:
Zhang, Rongyu, Cheng, Aosong, Luo, Yulin, Dai, Gaole, Yang, Huanrui, Liu, Jiaming, Xu, Ran, Du, Li, Du, Yuan, Jiang, Yanbing, Zhang, Shanghang
Continual Test-Time Adaptation (CTTA), which aims to adapt the pre-trained model to ever-evolving target domains, emerges as an important task for vision models. As current vision models appear to be heavily biased towards texture, continuously adapt
Externí odkaz:
http://arxiv.org/abs/2405.16486
Autor:
Dai, Gaole, Wang, Zhenyu, Xu, Qinwen, Lu, Ming, Chen, Wen, Shi, Boxin, Zhang, Shanghang, Huang, Tiejun
One of the most critical factors in achieving sharp Novel View Synthesis (NVS) using neural field methods like Neural Radiance Fields (NeRF) and 3D Gaussian Splatting (3DGS) is the quality of the training images. However, Conventional RGB cameras are
Externí odkaz:
http://arxiv.org/abs/2404.06710
Autor:
Yoon, Hyungjun, Kwak, Jaehyun, Tolera, Biniyam Aschalew, Dai, Gaole, Li, Mo, Gong, Taesik, Lee, Kimin, Lee, Sung-Ju
Self-supervised learning has emerged as a method for utilizing massive unlabeled data for pre-training models, providing an effective feature extractor for various mobile sensing applications. However, when deployed to end-users, these models encount
Externí odkaz:
http://arxiv.org/abs/2404.15305
Matrix factorization (MF) is a widely used collaborative filtering (CF) algorithm for recommendation systems (RSs), due to its high prediction accuracy, great flexibility and high efficiency in big data processing. However, with the dramatically incr
Externí odkaz:
http://arxiv.org/abs/2404.04265