Zobrazeno 1 - 10
of 1 393
pro vyhledávání: '"Huang Wenjie"'
Publikováno v:
Chengshi guidao jiaotong yanjiu, Vol 27, Iss 5, Pp 57-62 (2024)
Objective In response to the national call of 'carbon peaking and carbon neutrality' polies, the metro industry urgently seeks to develop metro trains with the capability for rapid, efficient, and online dynamic flexible formation without compromisin
Externí odkaz:
https://doaj.org/article/481fe23264734b45a667b03fc87b1b0d
Autor:
Huang Wenjie
Publikováno v:
Applied Mathematics and Nonlinear Sciences, Vol 9, Iss 1 (2024)
This paper proposes a deep learning method for face recognition in the self-service customs clearance system at border crossings and designs the encoder and face feature mining module in the learning framework. Meanwhile, the loss function is constru
Externí odkaz:
https://doaj.org/article/6b5eaa8a9d2b487d8bb162e98ca4a756
Autor:
Chen Rui, Li Defu, Wang Lingling, Dong Jiahui, Xiong Richeng, Ye Yuanyuan, Guo Zhenhui, Huang Wenjie
Publikováno v:
COPD, Vol 19, Iss 1, Pp 206-215 (2022)
A high smoking-independent chronic obstructive pulmonary disease (COPD) prevalence is observed in lung cancer patients. However, the underlying connection between these two diseases still remains unclear. Cigarette smoking and ambient air pollution a
Externí odkaz:
https://doaj.org/article/d111953ff1344ff086f878dd0353fb42
With the rapid development of the internet, the richness of User-Generated Contentcontinues to increase, making Multimodal Aspect-Based Sentiment Analysis (MABSA) a research hotspot. Existing studies have achieved certain results in MABSA, but they h
Externí odkaz:
http://arxiv.org/abs/2410.14150
Autor:
LIU Guofang, SUN Juan, CHEN Zhenzhen, ZUO Shiyi, ZHANG Lei, HUANG Wenjie, ZHANG Dong, HU Zhi, LIU Yong, YAO Zhongxiang
Publikováno v:
Di-san junyi daxue xuebao, Vol 43, Iss 15, Pp 1437-1443 (2021)
Objective To analyze the value of CT signs in the prediction of disorders of consciousness (DOC) in patients with primary brainstem hemorrhage (PBH). Methods A total of 377 patients with brainstem hemorrhage admitted to the Second Affiliated Hospital
Externí odkaz:
https://doaj.org/article/a0ba9e30c22246f993ec051dea8e9ba5
The growing demand for high-quality point cloud transmission over wireless networks presents significant challenges, primarily due to the large data sizes and the need for efficient encoding techniques. In response to these challenges, we introduce a
Externí odkaz:
http://arxiv.org/abs/2408.04889
Mini-batch Graph Transformer (MGT), as an emerging graph learning model, has demonstrated significant advantages in semi-supervised node prediction tasks with improved computational efficiency and enhanced model robustness. However, existing methods
Externí odkaz:
http://arxiv.org/abs/2407.09904
Autor:
Pan, Shijie, Huang, Wenjie
A novel Follow-the-Perturbed-Leader type algorithm is proposed and analyzed for solving general long-term constrained optimization problems in online manner, where the objective and constraints are arbitrarily generated and not necessarily convex. In
Externí odkaz:
http://arxiv.org/abs/2311.02426
Autor:
Wu, Yupeng, Huang, Wenjie
The use of reinforcement learning (RL) in practical applications requires considering sub-optimal outcomes, which depend on the agent's familiarity with the uncertain environment. Dynamically adjusting the level of epistemic risk over the course of l
Externí odkaz:
http://arxiv.org/abs/2310.05179
Autor:
Zheng, Tongya, Zhang, Tianli, Guan, Qingzheng, Huang, Wenjie, Feng, Zunlei, Song, Mingli, Chen, Chun
Graph Neural Networks have emerged as an effective machine learning tool for multi-disciplinary tasks such as pharmaceutical molecule classification and chemical reaction prediction, because they can model non-euclidean relationships between differen
Externí odkaz:
http://arxiv.org/abs/2307.13909