Zobrazeno 1 - 10
of 168
pro vyhledávání: '"WANG Jiangshan"'
Autor:
ZHENG Hua, ZHI Yunfei, YING Lujing, ZHU Lan, JI Mingliang, LIANG Ze, WANG Jiangshan, SHI Haifeng, ZHANG Weihong, XIAO Mengsu, ZHANG Yushi, XU Kaifeng, LU Zhaohui, LIU Yaping, XU Ruiyi, ZHU Huijuan, WEN Li, ZHANG Yan, CHEN Gang, CHEN Limeng
Publikováno v:
罕见病研究, Vol 3, Iss 1, Pp 79-86 (2024)
Tuberous sclerosis complex(TSC)is a rare genetic disease that can lead to benign dysplasia in multiple organs such as the skin, brain, eyes, oral cavity, heart, lungs, kidneys, liver, and bones. Its main symptoms include epilepsy, intellectual disabi
Externí odkaz:
https://doaj.org/article/814077ec2af145b48d11a5b014acc542
Video editing is an emerging task, in which most current methods adopt the pre-trained text-to-image (T2I) diffusion model to edit the source video in a zero-shot manner. Despite extensive efforts, maintaining the temporal consistency of edited video
Externí odkaz:
http://arxiv.org/abs/2406.08850
Autor:
Xiao, Yicheng, Song, Lin, Huang, Shaoli, Wang, Jiangshan, Song, Siyu, Ge, Yixiao, Li, Xiu, Shan, Ying
The state space models, employing recursively propagated features, demonstrate strong representation capabilities comparable to Transformer models and superior efficiency. However, constrained by the inherent geometric constraints of sequences, it st
Externí odkaz:
http://arxiv.org/abs/2406.02395
Publikováno v:
Information Systems and Economics (2024) Clausius Scientific Press, Canada , ISSN 2523-6407 Vol. 5 Num. 2
With the continuous development of artificial intelligence technology, using machine learning technology to predict market trends may no longer be out of reach. In recent years, artificial intelligence has become a research hotspot in the academic ci
Externí odkaz:
http://arxiv.org/abs/2404.18184
Oriented object detection, an emerging task in recent years, aims to identify and locate objects across varied orientations. This requires the detector to accurately capture the orientation information, which varies significantly within and across im
Externí odkaz:
http://arxiv.org/abs/2403.11127
Autor:
Wang, Jiangshan, Peng, Zheng
We introduce two new stochastic conjugate frameworks for a class of nonconvex and possibly also nonsmooth optimization problems. These frameworks are built upon Stochastic Recursive Gradient Algorithm (SARAH) and we thus refer to them as Acc-Prox-CG-
Externí odkaz:
http://arxiv.org/abs/2310.13251
The mini-batch versions of StochAstic Recursive grAdient algoritHm and Semi-Stochastic Gradient Descent method, employed the random Barzilai-Borwein step sizes (shorted as MB-SARAH-RBB and mS2GD-RBB), have surged into prominence through timely step s
Externí odkaz:
http://arxiv.org/abs/2307.13930
In this paper, three efficient ensemble algorithms are proposed for fast-solving the random fluid-fluid interaction model. Such a model can be simplified as coupling two heat equations with random diffusion coefficients and a friction parameter due t
Externí odkaz:
http://arxiv.org/abs/2301.09271
Autor:
Zhang, Nan1 (AUTHOR), Wang, Jiangshan1 (AUTHOR), Li, Yan1 (AUTHOR), Liu, Jihai1 (AUTHOR), Zhu, Huadong1 (AUTHOR) zhuhuadong1970@126.com, Fortofoiu, Maria1 (AUTHOR)
Publikováno v:
Emergency Medicine International. 8/7/2024, Vol. 2024, p1-9. 9p.
Autor:
Yan-Ran, Wang, Qu, Liangqiong, Sheybani, Natasha Diba, Luo, Xiaolong, Wang, Jiangshan, Hawk, Kristina Elizabeth, Theruvath, Ashok Joseph, Gatidis, Sergios, Xiao, Xuerong, Pribnow, Allison, Rubin, Daniel, Daldrup-Link, Heike E.
Despite its tremendous value for the diagnosis, treatment monitoring and surveillance of children with cancer, whole body staging with positron emission tomography (PET) is time consuming and associated with considerable radiation exposure. 100x (1%
Externí odkaz:
http://arxiv.org/abs/2205.04044