Zobrazeno 1 - 10
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pro vyhledávání: '"Liu Hongzhi"'
For each orientation-preserving homotopy equivalence between two closed oriented smooth manifolds, there are mainly two different approaches to the higher $\rho$ invariant associated to this homotopy equivalence. In this article, we show that these t
Externí odkaz:
http://arxiv.org/abs/2411.16716
In this paper, we employ the framework of localization algebras to compute the equivariant K-homology class of the Euler characteristic operator, a central object in studying equivariant index theory on manifolds. This approach provides a powerful al
Externí odkaz:
http://arxiv.org/abs/2410.15103
Publikováno v:
Waike lilun yu shijian, Vol 26, Iss 02, Pp 130-137 (2021)
Objective To investigate the effect of wide surgical margin on the prognosis of patients with single intrahepatic cholangiocarcinoma (ICC) undergoing hepatectomy and the effect of microvascular invasion (MVI) on the treatment of hepatectomy with both
Externí odkaz:
https://doaj.org/article/97f3e202b9cb41bdb2c737c0ec7087b3
Anomaly detection is a crucial task in various domains. Most of the existing methods assume the normal sample data clusters around a single central prototype while the real data may consist of multiple categories or subgroups. In addition, existing m
Externí odkaz:
http://arxiv.org/abs/2408.14498
Autor:
Liu, Hongzhi, Li, Guicheng, Nie, Jiacheng, Tang, Hui, Yang, Chunfeng, Feng, Qianjin, Xu, Hailin, Chen, Yang
Because of the complicated mechanism of ankle injury, it is very difficult to diagnose ankle fracture in clinic. In order to simplify the process of fracture diagnosis, an automatic diagnosis model of ankle fracture was proposed. Firstly, a tibia-fib
Externí odkaz:
http://arxiv.org/abs/2403.19983
Autor:
Du, Yingpeng, Wang, Ziyan, Sun, Zhu, Chua, Haoyan, Liu, Hongzhi, Wu, Zhonghai, Ma, Yining, Zhang, Jie, Sun, Youchen
In recent years, efforts have been made to use text information for better user profiling and item characterization in recommendations. However, text information can sometimes be of low quality, hindering its effectiveness for real-world applications
Externí odkaz:
http://arxiv.org/abs/2402.08859
Autor:
Zhang, Wenxuan, Liu, Hongzhi, Du, Yingpeng, Zhu, Chen, Song, Yang, Zhu, Hengshu, Wu, Zhonghai
Generative large language models(LLMs) are proficient in solving general problems but often struggle to handle domain-specific tasks. This is because most of domain-specific tasks, such as personalized recommendation, rely on task-related information
Externí odkaz:
http://arxiv.org/abs/2311.03778
Recommending suitable jobs to users is a critical task in online recruitment platforms, as it can enhance users' satisfaction and the platforms' profitability. While existing job recommendation methods encounter challenges such as the low quality of
Externí odkaz:
http://arxiv.org/abs/2307.10747
Publikováno v:
Foundations of Computing and Decision Sciences, Vol 40, Iss 2, Pp 107-117 (2015)
The development of digital goods has profoundly changed the economic relationship and trading methods. Among all the digital goods recommendation information, ranking information is of prominent significance. The rankings impact consumers positively
Externí odkaz:
https://doaj.org/article/fb37e5888ab3489fb149f61d3a9a8e21
Autor:
Zhang, Yusen, Li, Zhongli, Zhou, Qingyu, Liu, Ziyi, Li, Chao, Ma, Mina, Cao, Yunbo, Liu, Hongzhi
To automatically correct handwritten assignments, the traditional approach is to use an OCR model to recognize characters and compare them to answers. The OCR model easily gets confused on recognizing handwritten Chinese characters, and the textual i
Externí odkaz:
http://arxiv.org/abs/2208.12505