Zobrazeno 1 - 10
of 949
pro vyhledávání: '"Huang Xiaowen"'
Publikováno v:
Pifu-xingbing zhenliaoxue zazhi, Vol 31, Iss 9, Pp 634-642 (2024)
Aging in the sebaceous glands typically begins on the sun-exposed areas, characterized by sebaceous gland hyperplasia and lipid dysbiosis. These changes result in dry and dull skin, alterations in the microbiota, pigmentation, and various skin diseas
Externí odkaz:
https://doaj.org/article/5b91fda9436344f9bffe09f58b5dd918
The denoising model has been proven a powerful generative model but has little exploration of discriminative tasks. Representation learning is important in discriminative tasks, which is defined as "learning representations (or features) of the data
Externí odkaz:
http://arxiv.org/abs/2406.08773
Conversational Recommender System (CRS) leverages real-time feedback from users to dynamically model their preferences, thereby enhancing the system's ability to provide personalized recommendations and improving the overall user experience. CRS has
Externí odkaz:
http://arxiv.org/abs/2405.08035
Recently, recommender system has achieved significant success. However, due to the openness of recommender systems, they remain vulnerable to malicious attacks. Additionally, natural noise in training data and issues such as data sparsity can also de
Externí odkaz:
http://arxiv.org/abs/2404.17844
Existing works have made strides in video generation, but the lack of sound effects (SFX) and background music (BGM) hinders a complete and immersive viewer experience. We introduce a novel semantically consistent v ideo-to-audio generation framework
Externí odkaz:
http://arxiv.org/abs/2404.16305
Integrating artificial intelligence (AI) and federated learning (FL) in smart transportation has raised critical issues regarding their responsible use. Ensuring responsible AI is paramount for the stability and sustainability of intelligent transpor
Externí odkaz:
http://arxiv.org/abs/2404.06777
Large language models (LLMs), renowned for their impressive capabilities in various tasks, have significantly advanced artificial intelligence. Yet, these advancements have raised growing concerns about privacy and security implications. To address t
Externí odkaz:
http://arxiv.org/abs/2403.18205
Conversational Recommender System (CRS) interacts with users through natural language to understand their preferences and provide personalized recommendations in real-time. CRS has demonstrated significant potential, prompting researchers to address
Externí odkaz:
http://arxiv.org/abs/2403.16416
Autor:
Deng, Huifeng, Yang, Yanqun, Ju, Jianbin, Jiang, Yu, Huang, Xiaowen, Li, Zhenyu, Shi, Rui, Ruan, Guihua, Huang, Yipeng
Publikováno v:
In Journal of Chromatography A 4 January 2025 1739
Publikováno v:
In Environmental Research 15 December 2024 263 Part 2