Zobrazeno 1 - 10
of 95 298
pro vyhledávání: '"Yanan An"'
Autor:
Yanan An, Chao Wang, Baozhen Fan, Ziqi Wang, Ying Li, Feng Kong, Chengjun Zhou, Zhang Cao, Mingxia Wang, Hui Sun, Shengtian Zhao, Yongfeng Gong
Publikováno v:
Cell Reports, Vol 42, Iss 9, Pp 113118- (2023)
Summary: Lipolysis-stimulated lipoprotein receptor (LSR) is a multi-functional protein that is best known for its roles in assembly of epithelial tricellular tight junctions and hepatic clearance of lipoproteins. Here, we investigated whether LSR con
Externí odkaz:
https://doaj.org/article/29d1911cb54344b0b93e48b7e124ba48
We introduce a novel uncertainty principle for generalized graph signals that extends classical time-frequency and graph uncertainty principles into a unified framework. By defining joint vertex-time and spectral-frequency spreads, we quantify signal
Externí odkaz:
http://arxiv.org/abs/2409.04229
Bird's-Eye-View (BEV) representation has emerged as a mainstream paradigm for multi-view 3D object detection, demonstrating impressive perceptual capabilities. However, existing methods overlook the geometric quality of BEV representation, leaving it
Externí odkaz:
http://arxiv.org/abs/2409.01816
An early, non-invasive, and on-site detection of nutrient deficiencies is critical to enable timely actions to prevent major losses of crops caused by lack of nutrients. While acquiring labeled data is very expensive, collecting images from multiple
Externí odkaz:
http://arxiv.org/abs/2409.00903
Knowledge graph embedding (KGE) constitutes a foundational task, directed towards learning representations for entities and relations within knowledge graphs (KGs), with the objective of crafting representations comprehensive enough to approximate th
Externí odkaz:
http://arxiv.org/abs/2408.14840
The stabilization of quantum states is a fundamental problem for realizing various quantum technologies. Measurement-based-feedback strategies have demonstrated powerful performance, and the construction of quantum control signals using measurement i
Externí odkaz:
http://arxiv.org/abs/2408.11328
Due to emergent capabilities, large language models (LLMs) have been utilized as language-based agents to perform a variety of tasks and make decisions with an increasing degree of autonomy. These autonomous agents can understand high-level instructi
Externí odkaz:
http://arxiv.org/abs/2408.11021
Radio Frequency Fingerprint Identification (RFFI) has emerged as a pivotal task for reliable device authentication. Despite advancements in RFFI methods, background noise and intentional modulation features result in weak energy and subtle difference
Externí odkaz:
http://arxiv.org/abs/2408.07592
Large language models (LLMs) have brought autonomous agents closer to artificial general intelligence (AGI) due to their promising generalization and emergent capabilities. There is, however, a lack of studies on how LLM-based agents behave, why they
Externí odkaz:
http://arxiv.org/abs/2408.06318
In recent years, Few-Shot Object Detection (FSOD) has gained widespread attention and made significant progress due to its ability to build models with a good generalization power using extremely limited annotated data. The fine-tuning based paradigm
Externí odkaz:
http://arxiv.org/abs/2408.05674