Zobrazeno 1 - 10
of 1 300
pro vyhledávání: '"Li Xiaochen"'
Publikováno v:
SHS Web of Conferences, Vol 185, p 02001 (2024)
With the rise of meta-cosmic technology and the increasing importance of intangible cultural heritage protection and inheritance, the integration of digitalization and intangible cultural heritage protection has become one of the hot spots in contemp
Externí odkaz:
https://doaj.org/article/874cb50bdd974c18b3effa5d8fe1e444
Autor:
Zhang Tianjiao, Feng Yuelin, Ge Xinmin, Meng Wei, Han Hongwei, Yu Jingqiang, Zhang Weizhong, Li Shuli, Li Xiaochen, Gao Ping
Publikováno v:
Open Geosciences, Vol 13, Iss 1, Pp 1375-1394 (2021)
Carbonate cements are primary cement types formed in deep sandstone reservoirs of Dongying Sag. We have proposed three stages of carbonate cements with different origin and material sources: carbonate cements in early stage are rim-shaped high-Mg cal
Externí odkaz:
https://doaj.org/article/1dad76f0f81a412ea8360799cc3adbb7
Many recent works have explored using language models for planning problems. One line of research focuses on translating natural language descriptions of planning tasks into structured planning languages, such as the planning domain definition langua
Externí odkaz:
http://arxiv.org/abs/2407.03321
Field Programmable Gate Array (FPGA) logic synthesis compilers (e.g., Vivado, Iverilog, Yosys, and Quartus) are widely applied in Electronic Design Automation (EDA), such as the development of FPGA programs.However, defects (i.e., incorrect synthesis
Externí odkaz:
http://arxiv.org/abs/2407.12037
Detoxifying multilingual Large Language Models (LLMs) has become crucial due to their increasing global use. In this work, we explore zero-shot cross-lingual generalization of preference tuning in detoxifying LLMs. Unlike previous studies that show l
Externí odkaz:
http://arxiv.org/abs/2406.16235
The rise of mobile devices with abundant sensory data and local computing capabilities has driven the trend of federated learning (FL) on these devices. And personalized FL (PFL) emerges to train specific deep models for each mobile device to address
Externí odkaz:
http://arxiv.org/abs/2401.15960
Streaming data, crucial for applications like crowdsourcing analytics, behavior studies, and real-time monitoring, faces significant privacy risks due to the large and diverse data linked to individuals. In particular, recent efforts to release data
Externí odkaz:
http://arxiv.org/abs/2312.04738
Publikováno v:
ACM Trans. Softw. Eng. Methodol. 33, 3, Article 77 (March 2024), 32 pages
Data entry forms use completeness requirements to specify the fields that are required or optional to fill for collecting necessary information from different types of users. However, some required fields may not be applicable for certain types of us
Externí odkaz:
http://arxiv.org/abs/2311.13517
Autor:
Li Xiaochen, Ren Liqing
Publikováno v:
E3S Web of Conferences, Vol 261, p 04024 (2021)
Using biochar to improve chromium-contaminated soil is a promising method. In this study, the Enteromorpha prolifera biochar was prepared at different temperatures (300 °C 700 °C), and rye pot experiment was conducted to examine the improvement eff
Externí odkaz:
https://doaj.org/article/c40703545b534b8384e10abe454ee733
Autor:
Hu, Yuke, Liang, Wei, Wu, Ruofan, Xiao, Kai, Wang, Weiqiang, Li, Xiaochen, Liu, Jinfei, Qin, Zhan
Knowledge Graph Embedding (KGE) is a fundamental technique that extracts expressive representation from knowledge graph (KG) to facilitate diverse downstream tasks. The emerging federated KGE (FKGE) collaboratively trains from distributed KGs held am
Externí odkaz:
http://arxiv.org/abs/2304.02932