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pro vyhledávání: '"GUAN Zhong"'
Autor:
GUAN Zhong
Publikováno v:
Meikuang Anquan, Vol 53, Iss 12, Pp 54-61 (2022)
The 22206 working face of Huoluowan Coal Mine is under shallow buried depth and thin bedrock coal seam. Both the surface and overlying rock are rich in water. The study of safe mining technology under water is of great significance to the safe mining
Externí odkaz:
https://doaj.org/article/b0b6fcf7600e4a00a7442e528e6d7fa6
Website Fingerprinting (WF) aims to deanonymize users on the Tor network by analyzing encrypted network traffic. Recent deep-learning-based attacks show high accuracy on undefended traces. However, they struggle against modern defenses that use tacti
Externí odkaz:
http://arxiv.org/abs/2412.11487
Publikováno v:
Frontiers in Cellular and Infection Microbiology, Vol 12 (2022)
Dengue is a mosquito-borne disease which causes significant public health concerns in tropical and subtropical countries. Dengue virus (DENV) has evolved various strategies to manipulate the innate immune responses of the host such as ‘hiding’ in
Externí odkaz:
https://doaj.org/article/4420af95cb274883bde0643dbd4f9ca4
Autor:
Tian Ming Tu, Guan Zhong Tan, Seyed Ehsan Saffari, Chee Keong Wee, David Jeremiah Ming Siang Chee, Camlyn Tan, Hoon Chin Lim
Publikováno v:
BMC Neurology, Vol 20, Iss 1, Pp 1-9 (2020)
Abstract Background Acute ischemic stroke is a time-sensitive emergency where accurate diagnosis is required promptly. Due to time pressures, stroke mimics who present with similar signs and symptoms as acute ischemic stroke, pose a diagnostic challe
Externí odkaz:
https://doaj.org/article/fc0a23c050964f71a75d1ebaafe48a91
Significant efforts have been dedicated to integrating the powerful Large Language Models (LLMs) with diverse modalities, particularly focusing on the fusion of language, vision and audio data. However, the graph-structured data, which is inherently
Externí odkaz:
http://arxiv.org/abs/2406.15504
Recently, large language models (LLMs) have been widely researched in the field of graph machine learning due to their outstanding abilities in language comprehension and learning. However, the significant gap between natural language tasks and topol
Externí odkaz:
http://arxiv.org/abs/2406.13250
Large Language Models (LLMs) are increasingly prominent in the recommendation systems domain. Existing studies usually utilize in-context learning or supervised fine-tuning on task-specific data to align LLMs into recommendations. However, the substa
Externí odkaz:
http://arxiv.org/abs/2406.13235
Autor:
Wang, Kan, Fu, Yong, Li, Baochang, Tang, Xiangyu, Guan, Zhong, Wang, Bincheng, Lin, C. D., Jin, Cheng
An all-optical method for directly reconstructing the spectral phase of isolated attosecond pulse (IAP) has been proposed recently [New J. Phys. 25, 083003 (2023)]. This method is based on the high-harmonic generation (HHG) streaking spectra generate
Externí odkaz:
http://arxiv.org/abs/2309.02647
Autor:
Ye, Peng, Chen, Wei, Zhang, Guo-Wei, Lu, Feng-Yu, Wang, Fang-Xiang, Huang, Guan-Zhong, Wang, Shuang, He, De-Yong, Yin, Zhen-Qiang, Guo, Guang-Can, Han, Zheng-Fu
Publikováno v:
Physical Review APPLIED (2023)
Lithium niobate (LiNbO3, LN) devices play critical roles in quantum information processing. However, for special applications like quantum key distribution (QKD), the characteristics of materials and devices and their impact on practical systems must
Externí odkaz:
http://arxiv.org/abs/2303.10885
Physics-informed neural networks (PINNs) have been widely applied in different fields due to their effectiveness in solving partial differential equations (PDEs). However, the accuracy and efficiency of PINNs need to be considerably improved for scie
Externí odkaz:
http://arxiv.org/abs/2210.13212