Zobrazeno 1 - 10
of 4 238
pro vyhledávání: '"WANG, Jinfeng"'
Autor:
Liang, Yuting, Wang, Jinfeng
The growing number of citations to original publications highlighted their utility across academia, but the dissemination of knowledge from tacit conceptualization to scientific publications and its global applications remains understudied, and the p
Externí odkaz:
http://arxiv.org/abs/2408.06839
Autor:
Song, Sifan, Wang, Jinfeng, Zhao, Qiaochu, Li, Xiang, Wu, Dufan, Stefanidis, Angelos, Su, Jionglong, Zhou, S. Kevin, Li, Quanzheng
Invariant Contrastive Learning (ICL) methods have achieved impressive performance across various domains. However, the absence of latent space representation for distortion (augmentation)-related information in the latent space makes ICL sub-optimal
Externí odkaz:
http://arxiv.org/abs/2406.00262
Publikováno v:
JMIR mHealth and uHealth, Vol 8, Iss 1, p e14800 (2020)
BackgroundIn China, the cases of newly diagnosed HIV/AIDS in men who have sex with men (MSM) have increased more than tenfold since 2006. However, the MSM population size, geographical distribution, and migration patterns are largely unknown. Object
Externí odkaz:
https://doaj.org/article/9124427db1a2424ebdbd2c64b2c43aa0
Autor:
Wang, Jinfeng, Song, Sifan, Wang, Xinkun, Wang, Yiyi, Miao, Yiyi, Su, Jionglong, Zhou, S. Kevin
With the proposal of the Segment Anything Model (SAM), fine-tuning SAM for medical image segmentation (MIS) has become popular. However, due to the large size of the SAM model and the significant domain gap between natural and medical images, fine-tu
Externí odkaz:
http://arxiv.org/abs/2403.04164
Autor:
Liu, Yiman, Huang, Qiming, Han, Xiaoxiang, Liang, Tongtong, Zhang, Zhifang, Chen, Lijun, Wang, Jinfeng, Stefanidis, Angelos, Su, Jionglong, Chen, Jiangang, Li, Qingli, Zhang, Yuqi
Purpose: Congenital heart defect (CHD) is the most common birth defect. Thoracic echocardiography (TTE) can provide sufficient cardiac structure information, evaluate hemodynamics and cardiac function, and is an effective method for atrial septal def
Externí odkaz:
http://arxiv.org/abs/2306.03835
Autor:
An, Yipeng, Chen, Juncai, Yan, Yong, Wang, Jinfeng, Zhou, Yinong, Wang, Zhengxuan, Ma, Chunlan, Wang, Tianxing, Wu, Ruqian, Liu, Wuming
Publikováno v:
Phys. Rev. B 108, 054519 (2023)
Intrinsic topological superconducting materials are exotic and vital to develop the next-generation topological superconducting devices, topological quantum calculations, and quantum information technologies. Here, we predict the topological and noda
Externí odkaz:
http://arxiv.org/abs/2304.03062
Self-supervised learning is well known for its remarkable performance in representation learning and various downstream computer vision tasks. Recently, Positive-pair-Only Contrastive Learning (POCL) has achieved reliable performance without the need
Externí odkaz:
http://arxiv.org/abs/2303.05066
Autor:
Song, Sifan, Wang, Jinfeng, Wang, Zilong, Wang, Hongxing, Su, Jionglong, Ding, Xiaowei, Dang, Kang
Accurate fovea localization is essential for analyzing retinal diseases to prevent irreversible vision loss. While current deep learning-based methods outperform traditional ones, they still face challenges such as the lack of local anatomical landma
Externí odkaz:
http://arxiv.org/abs/2302.06961
Autor:
Shen, Yujun1,2 (AUTHOR), Wang, Jinfeng1,2 (AUTHOR), Liang, Junxing1,2 (AUTHOR), Chen, Ying1,2 (AUTHOR), Wu, Xueyan1,3 (AUTHOR), Ren, Zhenhua1,3 (AUTHOR), Zhou, Jiangning3 (AUTHOR), Feng, Lijie1,2,3 (AUTHOR) fenglijie1128@sina.com, Shen, Yuxian1,2,3 (AUTHOR) shenyx@ahmu.edu.cn
Publikováno v:
CNS Neuroscience & Therapeutics. Nov2024, Vol. 30 Issue 11, p1-15. 15p.
Transformer-based models have been widely demonstrated to be successful in computer vision tasks by modelling long-range dependencies and capturing global representations. However, they are often dominated by features of large patterns leading to the
Externí odkaz:
http://arxiv.org/abs/2212.11677