Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Hangyue Chen"'
Publikováno v:
IEEE Access, Vol 11, Pp 88403-88415 (2023)
This review explores the integration of enhanced personalization and seamless multimodal interfaces in the field of fashion design and recommendation. We examine the increasing demand for personalized fashion experiences and the potential of multimod
Externí odkaz:
https://doaj.org/article/bbeb925cc32e44b593eee89fbaacccea
Autor:
Yuhua Liu, Xinlong Zhang, Zhendong Yang, Fenghua Ye, Hangyue Chen, Zhouyang Zhang, Wenqiang Chen, Qian Wei
With the increasing size of social media datasets, it has become a difficult task to explore significant features such as sentiments from traditional geographical visualizations, because the visual elements of data items always overlap heavily with e
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f5b4eacebc72ba8f50b98466dad7d299
https://doi.org/10.21203/rs.3.rs-2823593/v1
https://doi.org/10.21203/rs.3.rs-2823593/v1
Autor:
Shuyue Feng, Cheng Yao, Weijia Lin, Jiayu Yao, Chao Zhang, Zhongyu Jia, Lijuan Liu, Masulani Bokola, Hangyue Chen, Fangtian Ying, Guanyun Wang
Publikováno v:
Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e265f95e73790459d6ab7a734935fcda
https://doi.org/10.1145/3544548.3581002
https://doi.org/10.1145/3544548.3581002
With the development of computer-assisted techniques, research communities including biochemistry and deep learning have been devoted into the drug discovery field for over a decade. Various applications of deep learning have drawn great attention in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e39d4494d4f2671748b6002c6268e9e2
Publikováno v:
2021 2nd International Seminar on Artificial Intelligence, Networking and Information Technology (AINIT).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9698d465aa9c944de96399fcd612d68a
https://doi.org/10.1109/ainit54228.2021.00034
https://doi.org/10.1109/ainit54228.2021.00034