Zobrazeno 1 - 10
of 1 506
pro vyhledávání: '"Liu Yufang"'
Publikováno v:
Data Science and Engineering, Vol 9, Iss 3, Pp 325-340 (2024)
Abstract Sequential recommendation help users find interesting items by modeling the dynamic user-item interaction sequences. Due to the data sparseness problem, cross-domain sequential recommendation (CDSR) are proposed. CDSR explore rich data from
Externí odkaz:
https://doaj.org/article/50a2a16000ec4b96b7643e765cd8f29d
Autor:
Yuanyuan Hui, Haishuai Peng, Fuxin Zhang, Lei Zhang, Liu Yufang, Aiqing Zhao, Rong Jia, Bini Wang, Yuxuan Song
Publikováno v:
Journal of Dairy Science, Vol 105, Iss 3, Pp 1966-1977 (2022)
ABSTRACT: Aflatoxin M1 (AFM1) is a common toxin in dairy products that causes acute and chronic human health disorders. Thus, the development of a rapid and accurate AFM1 detection method is of vital importance for food safety monitoring. This work w
Externí odkaz:
https://doaj.org/article/2645aa42db4d43ca9e516fefc6f8d355
Large Vision-Language Models (LVLMs) have achieved impressive performance, yet research has pointed out a serious issue with object hallucinations within these models. However, there is no clear conclusion as to which part of the model these hallucin
Externí odkaz:
http://arxiv.org/abs/2410.03176
Multi-modal Large Language Models have recently experienced rapid developments and excel in various multi-modal tasks. However, they still struggle with mathematical geometric problem solving, which requires exceptional visual perception proficiency.
Externí odkaz:
http://arxiv.org/abs/2408.11397
Machine unlearning aims to revoke some training data after learning in response to requests from users, model developers, and administrators. Most previous methods are based on direct fine-tuning, which may neither remove data completely nor retain f
Externí odkaz:
http://arxiv.org/abs/2310.05331
Publikováno v:
Journal of Applied Physics; 8/28/2024, Vol. 136 Issue 8, p1-8, 8p
Autor:
Liu, Yufang, Huang, Ziyin, Wang, Yijun, Sun, Changzhi, Lan, Man, Wu, Yuanbin, Mou, Xiaofeng, Wang, Ding
Existing distantly supervised relation extractors usually rely on noisy data for both model training and evaluation, which may lead to garbage-in-garbage-out systems. To alleviate the problem, we study whether a small clean dataset could help improve
Externí odkaz:
http://arxiv.org/abs/2209.06596
Autor:
Zhang, Yingying, Xia, Shiqiang, Zhao, Xingdong, Qin, Lu, Feng, Xuejing, Qi, Wenrong, Jiang, Yajing, Lu, Hai, Song, Daohong, Tang, Liqin, Zhu, Zunlue, Liu, Yufang
Higher-order exceptional points (EPs), which appear as multifold degeneracies in the spectra of non-Hermitian systems, are garnering extensive attention in various multidisciplinary fields. However, constructing higher-order EPs still remains as a ch
Externí odkaz:
http://arxiv.org/abs/2206.00965
Publikováno v:
In AEUE - International Journal of Electronics and Communications October 2024 185
Publikováno v:
In International Journal of Heat and Mass Transfer 15 September 2024 230