Zobrazeno 1 - 10
of 54
pro vyhledávání: '"Shao, Chenyang"'
Spatio-temporal modeling is foundational for smart city applications, yet it is often hindered by data scarcity in many cities and regions. To bridge this gap, we propose a novel generative pre-training framework, GPD, for spatio-temporal few-shot le
Externí odkaz:
http://arxiv.org/abs/2402.11922
The powerful reasoning capabilities of large language models (LLMs) have brought revolutionary changes to many fields, but their performance in human behaviour generation has not yet been extensively explored. This gap likely emerges because the inte
Externí odkaz:
http://arxiv.org/abs/2402.09836
Spatio-temporal point process (STPP) is a stochastic collection of events accompanied with time and space. Due to computational complexities, existing solutions for STPPs compromise with conditional independence between time and space, which consider
Externí odkaz:
http://arxiv.org/abs/2305.12403
Publikováno v:
Shipin Kexue, Vol 45, Iss 5, Pp 137-148 (2024)
In this study, a dynamic headspace (DHS) combined with thermal desorption/gas chromatography-mass spectrometry (TD/GC-MS) method was established to analyze the volatile composition of baked green tea. Extraction parameters including tea amount, trapp
Externí odkaz:
https://doaj.org/article/6f64a33959a94681b7701b8e08adb565
Autor:
Ma, Yuelong, Shao, Chenyang, Wu, Lan, Li, Xingcan, Tian, Ye, Zeng, Lingwei, Lu, Lili, Zhang, Boqiang, Wang, Zongcai, Chen, Xingzhou, Xue, Dongbin, Jiang, Guoxing, Hui, Yanbo, Chen, Shuqi, Chen, Daqin
Publikováno v:
In Ceramics International 1 August 2024 50(15):26624-26633
Autor:
Shao, Chenyang, Huang, Ruya, Okyere, Samuel Kumi, Muhammad, Yousif, Wang, Shu, Wang, Jianchen, Wang, Xiaoxuan, Hu, Yanchun
Publikováno v:
In Toxicon 23 February 2024 239
Akademický článek
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Autor:
Huang, Ruya, Okyere, Samuel Kumi, Shao, Chenyang, Yousif, Muhammad, Liao, Fei, Wang, Xiaoxuan, Wen, Juan, Wang, Jianchen, Hu, Yanchun
Publikováno v:
In Ecotoxicology and Environmental Safety 15 November 2023 267
Publikováno v:
In Transportation Research Part C September 2023 154
Autor:
QIAN Zhimin, SUN Yilu, ZHANG Xuening, SHAO Chenyang, ZHANG Jingzhe, PAN Chenchen, CHENG Haoyi, REN Nanqi, WANG Aijie
Publikováno v:
能源环境保护, Vol 37, Iss 2, Pp 1-15 (2023)
In order to reduce the pollution pressure of nitrogen pollutants from human life and industrial productions on natural water body, China government has been constantly raising the standards of total nitrogen emissions from sewage treatment plants in
Externí odkaz:
https://doaj.org/article/413bd140d9e04a83998003b02cb79b8c