Zobrazeno 1 - 10
of 126
pro vyhledávání: '"Wu, Juncheng"'
Autor:
Xie, Yunfei, Wu, Juncheng, Tu, Haoqin, Yang, Siwei, Zhao, Bingchen, Zong, Yongshuo, Jin, Qiao, Xie, Cihang, Zhou, Yuyin
Large language models (LLMs) have exhibited remarkable capabilities across various domains and tasks, pushing the boundaries of our knowledge in learning and cognition. The latest model, OpenAI's o1, stands out as the first LLM with an internalized c
Externí odkaz:
http://arxiv.org/abs/2409.15277
Autor:
Xie, Yunfei, Zhou, Ce, Gao, Lang, Wu, Juncheng, Li, Xianhang, Zhou, Hong-Yu, Liu, Sheng, Xing, Lei, Zou, James, Xie, Cihang, Zhou, Yuyin
This paper introduces MedTrinity-25M, a comprehensive, large-scale multimodal dataset for medicine, covering over 25 million images across 10 modalities, with multigranular annotations for more than 65 diseases. These enriched annotations encompass b
Externí odkaz:
http://arxiv.org/abs/2408.02900
There are many excellent solutions in image restoration.However, most methods require on training separate models to restore images with different types of degradation.Although existing all-in-one models effectively address multiple types of degradat
Externí odkaz:
http://arxiv.org/abs/2406.12587
Image deep features extracted by pre-trained networks are known to contain rich and informative representations. In this paper, we present Deep Degradation Response (DDR), a method to quantify changes in image deep features under varying degradation
Externí odkaz:
http://arxiv.org/abs/2406.08377
This paper aims to address a common challenge in deep learning-based image transformation methods, such as image enhancement and super-resolution, which heavily rely on precisely aligned paired datasets with pixel-level alignments. However, creating
Externí odkaz:
http://arxiv.org/abs/2402.18192
Autor:
WU Juncheng, XUE Huadan
Publikováno v:
Xiehe Yixue Zazhi, Vol 15, Iss 4, Pp 877-883 (2024)
Pancreatic cancer, one of the most lethal cancers in the world, has been increasing in incidence and mortality year by year, and the overall prognosis of patients is poor. Early detection and effective treatment are crucial for improving the prognosi
Externí odkaz:
https://doaj.org/article/3692f93d82b2416c9354ec8cb7a84bc3
Publikováno v:
In Urban Climate November 2024 58
Optimizing BenMAP health impact assessment with meteorological factor driven machine learning models
Publikováno v:
In Science of the Total Environment 1 November 2024 949
Publikováno v:
In Journal of Cleaner Production 15 September 2024 471
Publikováno v:
In Urban Climate July 2024 56