Yali Liu

1 month ago | nature.com | Yali Liu |Can Zhu

In order to explore the application of deep learning (DL) and artificial intelligence (AI) technologies in art education, this work proposes and optimizes an innovative art creation system—Creative Intelligence Cloud (CIC). The system combines a deep generative adversarial network and convolutional neural network, aiming to enhance the automation level, consistency of artistic styles, and creation efficiency in art creation. This work first analyzes existing art creation methods. It points out the shortcomings of traditional systems in terms of image quality, style transfer, and computational performance, especially the application limitations in real teaching scenarios. Therefore, this work designs an art creation model optimized by DL and validates and evaluates it through extensive experiments. The experimental results show that CIC outperforms existing mainstream models in multiple dimensions, including image quality, computational performance, user experience, and style creation. For example, in image quality evaluation, CIC achieves high scores in clarity (0.89), detail performance (0.85), style consistency (0.87), and color accuracy (0.91). In terms of computational performance and resource consumption, CIC shows its superiority, with a training time of only 1500 s, memory consumption of 4.9GB, and a Graphics Processing Unit resource usage rate of 70%. Compared to models such as the Visual Perception Generative Adversarial Network and Artistic Recognition and Transfer Style Convolutional Neural Network, CIC is more efficient and consumes fewer resources. Furthermore, CIC’s scores in user experience and style transfer capability are significantly higher than those of other models, providing smoother and more creatively rich art creation tools for art education. Therefore, this work offers new ideas and methods for the application of DL and AI technologies in art creation and art education, and promotes the practical use of AI in art education. The work has certain academic contributions and practical value.

Jan 15, 2025 | tandfonline.com | Jiazhou Yao |Yali Liu

Advanced search Journal of Multilingual and Multicultural Development Latest Articles Submit an article Journal homepage Full Article Figures & data References Citations Metrics Reprints & Permissions Read this article /doi/full/10.1080/01434632.2025.2451719?needAccess=true ABSTRACT Transnational family language policy (FLP) research has mainly focused on traditional immigrant-receiving nations, with a particular concentration in English-speaking contexts. This study investigates the FLP of...

Jan 13, 2025 | mdpi.com | Xiaotong Ge |Xun Ge |Daizhao Chen |Yali Liu

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Jan 7, 2025 | mdpi.com | Yali Liu |Wangpeng Li |Botao Huang |Pei Li

All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. For more information, please refer to https://www.mdpi.com/openaccess.

Dec 10, 2024 | pubs.rsc.org | Shimin Li |Yali Liu |Chang Yoon Yang |Wenming Yin

Anisotropic conductive scaffolds for post-infarction cardiac repair Myocardial infarction (MI) remains one of the most common and lethal cardiovascular diseases (CVDs), leading to the deterioration of cardiac function due to myocardial cell necrosis and fibrous scar tissue formation.