Zobrazeno 1 - 10
of 472
pro vyhledávání: '"Hu Yongli"'
Long Document Classification (LDC) has gained significant attention recently. However, multi-modal data in long documents such as texts and images are not being effectively utilized. Prior studies in this area have attempted to integrate texts and im
Externí odkaz:
http://arxiv.org/abs/2407.10105
Autor:
HU Yongli
Publikováno v:
Meikuang Anquan, Vol 51, Iss 12, Pp 105-108 (2020)
This paper analyzes the problems of the main fan in Zhaogu No.1 mine, such as the long operation time of the fan reversing, the equipment fault information is not found in time, and the electrical protection settings are not reasonable. The paper put
Externí odkaz:
https://doaj.org/article/9891b4f816844c5cb197b5b0736cbb17
Conventional Knowledge graph completion (KGC) methods aim to infer missing information in incomplete Knowledge Graphs (KGs) by leveraging existing information, which struggle to perform effectively in scenarios involving emerging entities. Inductive
Externí odkaz:
http://arxiv.org/abs/2406.02205
Autor:
Wang, Jiapu, Sun, Kai, Luo, Linhao, Wei, Wei, Hu, Yongli, Liew, Alan Wee-Chung, Pan, Shirui, Yin, Baocai
Temporal Knowledge Graph Reasoning (TKGR) is the process of utilizing temporal information to capture complex relations within a Temporal Knowledge Graph (TKG) to infer new knowledge. Conventional methods in TKGR typically depend on deep learning alg
Externí odkaz:
http://arxiv.org/abs/2405.14170
LiDAR panoptic segmentation facilitates an autonomous vehicle to comprehensively understand the surrounding objects and scenes and is required to run in real time. The recent proposal-free methods accelerate the algorithm, but their effectiveness and
Externí odkaz:
http://arxiv.org/abs/2311.09499
Autor:
Wang, Jiapu, Wang, Boyue, Qiu, Meikang, Pan, Shirui, Xiong, Bo, Liu, Heng, Luo, Linhao, Liu, Tengfei, Hu, Yongli, Yin, Baocai, Gao, Wen
Temporal characteristics are prominently evident in a substantial volume of knowledge, which underscores the pivotal role of Temporal Knowledge Graphs (TKGs) in both academia and industry. However, TKGs often suffer from incompleteness for three main
Externí odkaz:
http://arxiv.org/abs/2308.02457
Autor:
Tharanga, Shan, Unlu, Eyyub Selim, Hu, Yongli, Sjaugi, Muhammad Farhan, Celik, Muhammet A., Hekimoglu, Hilal, Miotto, Olivo, Oncel, Muhammed Miran, Khan, Asif M.
Sequence diversity is one of the major challenges in the design of diagnostic, prophylactic and therapeutic interventions against viruses. DiMA is a novel tool that is big data-ready and designed to facilitate the dissection of sequence diversity dyn
Externí odkaz:
http://arxiv.org/abs/2205.13915
A self-powered and self-monitoring ultra-low frequency wave energy harvester for smart ocean ranches
Autor:
Peng, Yang, Tang, Hongjie, Pan, Hongye, Zhang, Zutao, Luo, Dabing, Tang, Minfeng, Kong, Weihua, Li, Yingjie, Liu, Genshuo, Hu, Yongli
Publikováno v:
In iScience 20 September 2024 27(9)
Autor:
Gu, Bangping, Chu, Jiahao, Wang, Yansong, Xu, Guanhua, Gao, Liqiang, Yang, Yuchen, Hu, Yongli, Zhang, Hanxu
Publikováno v:
In Surface & Coatings Technology 15 August 2024 489
Autor:
Xiao, Jialuan, Cheng, Ping, Cao, Junjun, Lin, Rui, Luo, Mengzhi, Yu, Caoyang, Yao, Baoheng, Hu, Yongli
Publikováno v:
In Ocean Engineering 15 August 2024 306