Zobrazeno 1 - 10
of 231
pro vyhledávání: '"WANG Yuanzhuo"'
Publikováno v:
Xibei Gongye Daxue Xuebao, Vol 40, Iss 5, Pp 1109-1115 (2022)
Aiming at the problem of trajectory tracking control in the process of missile network formation flying, based on the optimal nominal trajectory obtained by solving the two-point boundary value problem, combined with the anti-jamming characteristics
Externí odkaz:
https://doaj.org/article/fbf65e4b0d0544f796e8dc344d5f4017
Publikováno v:
Xibei Gongye Daxue Xuebao, Vol 39, Iss 6, Pp 1240-1248 (2021)
In order to effectively realize the dynamic time-varying reliability analysis of the radial deformation of the aero-engine low pressure compressor, based on Kriging model combined with particle swarm optimization (PSO) and extreme value idea, a parti
Externí odkaz:
https://doaj.org/article/2ad91b42dc15420cbf4ada3ab6409cd2
Autor:
Jiang, Xuhui, Shen, Yinghan, Shi, Zhichao, Xu, Chengjin, Li, Wei, Li, Zixuan, Guo, Jian, Shen, Huawei, Wang, Yuanzhuo
Entity Alignment (EA) is vital for integrating diverse knowledge graph (KG) data, playing a crucial role in data-driven AI applications. Traditional EA methods primarily rely on comparing entity embeddings, but their effectiveness is constrained by t
Externí odkaz:
http://arxiv.org/abs/2402.15048
The questionnaire is a professional research methodology used for both qualitative and quantitative analysis of human opinions, preferences, attitudes, and behaviors. However, designing and evaluating questionnaires demands significant effort due to
Externí odkaz:
http://arxiv.org/abs/2402.14272
Hallucinations in large language models (LLMs) are always seen as limitations. However, could they also be a source of creativity? This survey explores this possibility, suggesting that hallucinations may contribute to LLM application by fostering cr
Externí odkaz:
http://arxiv.org/abs/2402.06647
While auxiliary information has become a key to enhancing Large Language Models (LLMs), relatively little is known about how LLMs merge these contexts, specifically contexts generated by LLMs and those retrieved from external sources. To investigate
Externí odkaz:
http://arxiv.org/abs/2401.11911
Autor:
Jiang, Xuhui, Xu, Chengjin, Shen, Yinghan, Sun, Xun, Tang, Lumingyuan, Wang, Saizhuo, Chen, Zhongwu, Wang, Yuanzhuo, Guo, Jian
Knowledge graphs (KGs) are structured representations of diversified knowledge. They are widely used in various intelligent applications. In this article, we provide a comprehensive survey on the evolution of various types of knowledge graphs (i.e.,
Externí odkaz:
http://arxiv.org/abs/2310.04835
Autor:
Jiang, Xuhui, Xu, Chengjin, Shen, Yinghan, Wang, Yuanzhuo, Su, Fenglong, Sun, Fei, Li, Zixuan, Shi, Zhichao, Guo, Jian, Shen, Huawei
The flourishing of knowledge graph applications has driven the need for entity alignment (EA) across KGs. However, the heterogeneity of practical KGs, characterized by differing scales, structures, and limited overlapping entities, greatly surpasses
Externí odkaz:
http://arxiv.org/abs/2304.03468
Publikováno v:
Industrial Management & Data Systems, 2023, Vol. 123, Issue 12, pp. 3018-3037.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/IMDS-05-2022-0310
Autor:
Feng, Jianzhou, Liu, Junxin, Gu, Chenghan, Qi, Haotian, Ren, Zhongcan, Xu, Kehan, Wang, Yuanzhuo
Publikováno v:
In Expert Systems With Applications 1 December 2024 255 Part A