Zobrazeno 1 - 10
of 323
pro vyhledávání: '"GUO Shasha"'
Publikováno v:
Open Geosciences, Vol 16, Iss 1, Pp 43-59 (2024)
To reveal the diagenetic sequence of reservoir rocks in the central part of the deep depression basin, the Wuerhe Formation in Junggar Basin was taken as an example to conduct the detailed studies on its sedimentary facies, diagenetic sequence, and t
Externí odkaz:
https://doaj.org/article/fdbf63e19d2645f6b1c83283705d0707
Publikováno v:
Zhongguo linchuang yanjiu, Vol 37, Iss 7, Pp 1090-1096 (2024)
"Objective To explore the timing of blood purification (BP) therapy in patients with acute pancreatitis (AP) who develop systemic inflammatory response syndrome (SIRS). Methods A retrospective collection was made of 254 AP patients with SIRS who unde
Externí odkaz:
https://doaj.org/article/31899f588068473a8dc1b4381b01eda7
Publikováno v:
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
Conversational Question Generation (CQG) enhances the interactivity of conversational question-answering systems in fields such as education, customer service, and entertainment. However, traditional CQG, focusing primarily on the immediate context,
Externí odkaz:
http://arxiv.org/abs/2410.01363
Event cameras are renowned for their high efficiency due to outputting a sparse, asynchronous stream of events. However, they are plagued by noisy events, especially in low light conditions. Denoising is an essential task for event cameras, but evalu
Externí odkaz:
http://arxiv.org/abs/2406.08909
Fast large-scale network scanning is an important way to understand internet service configurations and security in real time, among which stateless scan is representative. Existing stateless scanners can perform single-packet scans for internet-wide
Externí odkaz:
http://arxiv.org/abs/2405.07409
Knowledge base question generation (KBQG) aims to generate natural language questions from a set of triplet facts extracted from KB. Existing methods have significantly boosted the performance of KBQG via pre-trained language models (PLMs) thanks to
Externí odkaz:
http://arxiv.org/abs/2404.01923
In this survey, we present a detailed examination of the advancements in Neural Question Generation (NQG), a field leveraging neural network techniques to generate relevant questions from diverse inputs like knowledge bases, texts, and images. The su
Externí odkaz:
http://arxiv.org/abs/2402.18267
Previous methods on knowledge base question generation (KBQG) primarily focus on enhancing the quality of a single generated question. Recognizing the remarkable paraphrasing ability of humans, we contend that diverse texts should convey the same sem
Externí odkaz:
http://arxiv.org/abs/2309.14362
Autor:
Li, Xinglin, Wang, Qian, Guo, Shasha, He, Cheng, Mao, Hengyang, Meng, Xiaoshan, Zhou, Zhengzhong, Zheng, Tao
Publikováno v:
In Journal of Membrane Science February 2025 715
Autor:
Guo, Shasha1 (AUTHOR), Ai, Junmin1 (AUTHOR), Zheng, Nannan1 (AUTHOR), Hu, Hairui1 (AUTHOR), Xu, Zhuoyi1 (AUTHOR), Chen, Quanquan1 (AUTHOR), Li, Li1 (AUTHOR), Liu, Yunjun2 (AUTHOR), Zhang, Hongwei2 (AUTHOR), Li, Jieping3 (AUTHOR), Pan, Qingchun3 (AUTHOR), Chen, Fanjun3 (AUTHOR), Yuan, Lixing3 (AUTHOR), Fu, Junjie2 (AUTHOR), Gu, Riliang1,4 (AUTHOR) rilianggu@cau.edu.cn, Wang, Jianhua1 (AUTHOR) wangjh63@cau.edu.cn, Du, Xuemei1 (AUTHOR) duxuemei@cau.edu.cn
Publikováno v:
Plant Biotechnology Journal. Sep2024, Vol. 22 Issue 9, p2472-2487. 16p.