Zobrazeno 1 - 10
of 1 299
pro vyhledávání: '"Liu ziyang"'
Autor:
Gong Beiwen, Liu Ziyang, Yang Liya, Sun Xiaomei, Lu Jianjian, Teng Li, Bai Yuxing, Xie Xianju
Publikováno v:
Australasian Orthodontic Journal, Vol 39, Iss 2, Pp 15-31 (2023)
Clear aligner (CA) therapy has become popular worldwide but there is little research in the area from the perspective of bibliometrics. The present study aimed to identify the most impactful studies on CA over its 20 years of publishing since 2002.
Externí odkaz:
https://doaj.org/article/1a818cd140974f65bf59fb11575d4c7d
Autor:
Liu Ziyang
Publikováno v:
Applied Mathematics and Nonlinear Sciences, Vol 9, Iss 1 (2024)
Financial transaction transparency has gradually become one of the main directions for the development and construction of the financial transaction market. This paper integrates blockchain and smart contracts and proposes a strategy to improve finan
Externí odkaz:
https://doaj.org/article/c43ff66ca73845f4b6d51138b768e9df
Publikováno v:
Open Life Sciences, Vol 17, Iss 1, Pp 744-755 (2022)
We investigated the role of the interaction between the Notch and Toll-like receptor 4 (TLR4) pathways in septic myocardial injury. The sepsis model was induced in rats with lipopolysaccharide (LPS). Rats were divided into control, LPS, LPS + TAK242
Externí odkaz:
https://doaj.org/article/a61c415874a349cb812f46b06bc6318f
MMDocBench: Benchmarking Large Vision-Language Models for Fine-Grained Visual Document Understanding
Autor:
Zhu, Fengbin, Liu, Ziyang, Ng, Xiang Yao, Wu, Haohui, Wang, Wenjie, Feng, Fuli, Wang, Chao, Luan, Huanbo, Chua, Tat Seng
Large Vision-Language Models (LVLMs) have achieved remarkable performance in many vision-language tasks, yet their capabilities in fine-grained visual understanding remain insufficiently evaluated. Existing benchmarks either contain limited fine-grai
Externí odkaz:
http://arxiv.org/abs/2410.21311
Autor:
Liu, Ziyang, Zygouras, Nikos
The Critical $2d$ Stochastic Heat Flow (SHF) is a measure valued stochastic process on $\mathbb{R}^2$ that defines a non-trivial solution to the two-dimensional stochastic heat equation with multiplicative space-time noise. Its one-time marginals are
Externí odkaz:
http://arxiv.org/abs/2410.14601
The inverse medium problem, inherently ill-posed and nonlinear, presents significant computational challenges. This study introduces a novel approach by integrating a Neumann series structure within a neural network framework to effectively handle mu
Externí odkaz:
http://arxiv.org/abs/2409.09480
In this paper, we propose Neumann Series Neural Operator (NSNO) to learn the solution operator of Helmholtz equation from inhomogeneity coefficients and source terms to solutions. Helmholtz equation is a crucial partial differential equation (PDE) wi
Externí odkaz:
http://arxiv.org/abs/2401.13494
In this work, we address question answering (QA) over a hybrid of tabular and textual data that are very common content on the Web (e.g. SEC filings), where discrete reasoning capabilities are often required. Recently, large language models (LLMs) li
Externí odkaz:
http://arxiv.org/abs/2401.13223
Autor:
Liu Ziyang
Publikováno v:
E3S Web of Conferences, Vol 233, p 04038 (2021)
With the improvement of people’s living standards, the demand for books and the efficiency and accuracy of accessing books are also increasing. Because the information displayed to readers on the library management system is the position of the boo
Externí odkaz:
https://doaj.org/article/0a53509c3cca41c6bcee09fa0c4a65e0
Autor:
Zhang Hao, Zhang Changjian, Zhang Ying, Ma Jinhang, He Jie, Liu Ziyang, Yan Xintong, Hong Qiong
Publikováno v:
MATEC Web of Conferences, Vol 325, p 01003 (2020)
ETC and MTC lanes of China’s hybrid toll stations have various setting modes. When the vehicles passed through the toll stations, they would face a more complicated lane change process. If the ETC sign was set in the appropriate position in advance
Externí odkaz:
https://doaj.org/article/c253697999e24ed9b9c1eb0c5ceb6bce