Zobrazeno 1 - 10
of 111
pro vyhledávání: '"Chen, Weijing"'
Autor:
Fan, Tao, Kang, Yan, Chen, Weijing, Gu, Hanlin, Song, Yuanfeng, Fan, Lixin, Chen, Kai, Yang, Qiang
In the context of real-world applications, leveraging large language models (LLMs) for domain-specific tasks often faces two major challenges: domain-specific knowledge privacy and constrained resources. To address these issues, we propose PDSS, a pr
Externí odkaz:
http://arxiv.org/abs/2406.12403
Large Language Models (LLMs), such as ChatGPT, LLaMA, GLM, and PaLM, have exhibited remarkable performances across various tasks in recent years. However, LLMs face two main challenges in real-world applications. One challenge is that training LLMs c
Externí odkaz:
http://arxiv.org/abs/2310.10049
Image-text retrieval, as a fundamental and important branch of information retrieval, has attracted extensive research attentions. The main challenge of this task is cross-modal semantic understanding and matching. Some recent works focus more on fin
Externí odkaz:
http://arxiv.org/abs/2304.10824
Automatically generating textual descriptions for massive unlabeled images on the web can greatly benefit realistic web applications, e.g. multimodal retrieval and recommendation. However, existing models suffer from the problem of generating ``over-
Externí odkaz:
http://arxiv.org/abs/2211.09371
Autor:
WANG Jie, CHEN Weijing, LIN Naiming, WANG Qiang, WANG Huanhuan, YUAN Shuo, LIU Zhiqi, ZENG Qunfeng, WU Yucheng
Publikováno v:
Taiyuan Ligong Daxue xuebao, Vol 55, Iss 3, Pp 483-492 (2024)
Purposes 38CrMoAl steel is often used as pistons in a hydraulic pump, its surface performance is especially important for long-life safe working. Wear is the main failure mode of pistons in a hydraulic pump. With surface strengthening treatment, it i
Externí odkaz:
https://doaj.org/article/6493271137364045a28ab744bd4aa665
Autor:
Shen, Kai, Chen, Weijing, Feng, Xuning, Jin, Changyong, Zheng, Yuejiu, Lai, Xin, Li, Dawei, Xu, Chengshan, Hong, Yan, Yao, Shuai, Xie, Biheng
Publikováno v:
In Journal of Energy Storage 1 November 2024 101 Part A
Gradient boosting decision tree (GBDT) is an ensemble machine learning algorithm, which is widely used in industry, due to its good performance and easy interpretation. Due to the problem of data isolation and the requirement of privacy, many works t
Externí odkaz:
http://arxiv.org/abs/2110.10927
Publikováno v:
Journal of Hydrometeorology, 2021 Oct 01. 22(10), 2751-2766.
Externí odkaz:
https://www.jstor.org/stable/27202232
Akademický článek
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Publikováno v:
In Journal of Hydrology December 2021 603 Part A