Zobrazeno 1 - 10
of 2 037
pro vyhledávání: '"Xiong, Bo"'
Recently, MBConv blocks, initially designed for efficiency in resource-limited settings and later adapted for cutting-edge image classification performances, have demonstrated significant potential in image classification tasks. Despite their success
Externí odkaz:
http://arxiv.org/abs/2402.04618
Reasoning with knowledge graphs (KGs) has primarily focused on triple-shaped facts. Recent advancements have been explored to enhance the semantics of these facts by incorporating more potent representations, such as hyper-relational facts. However,
Externí odkaz:
http://arxiv.org/abs/2312.09219
Modeling evolving knowledge over temporal knowledge graphs (TKGs) has become a heated topic. Various methods have been proposed to forecast links on TKGs. Most of them are embedding-based, where hidden representations are learned to represent knowled
Externí odkaz:
http://arxiv.org/abs/2311.10112
We study the buildup of antiferromagnetic (AF) correlation in the dynamically tuned Ising models which are realized by the Rydberg atomic system. In short-time scale, we apply Magnus expansion (ME) to derive the high-order analytic expression of the
Externí odkaz:
http://arxiv.org/abs/2311.01785
Computed Tomography (CT) with its remarkable capability for three-dimensional imaging from multiple projections, enjoys a broad range of applications in clinical diagnosis, scientific observation, and industrial detection. Neural Adaptive Tomography
Externí odkaz:
http://arxiv.org/abs/2311.01653
Light-field fluorescence microscopy (LFM) is a powerful elegant compact method for long-term high-speed imaging of complex biological systems, such as neuron activities and rapid movements of organelles. LFM experiments typically generate terabytes i
Externí odkaz:
http://arxiv.org/abs/2310.09467
Logical rules are essential for uncovering the logical connections between relations, which could improve reasoning performance and provide interpretable results on knowledge graphs (KGs). Although there have been many efforts to mine meaningful logi
Externí odkaz:
http://arxiv.org/abs/2309.01538
Autor:
Wang, Jiapu, Wang, Boyue, Qiu, Meikang, Pan, Shirui, Xiong, Bo, Liu, Heng, Luo, Linhao, Liu, Tengfei, Hu, Yongli, Yin, Baocai, Gao, Wen
Temporal characteristics are prominently evident in a substantial volume of knowledge, which underscores the pivotal role of Temporal Knowledge Graphs (TKGs) in both academia and industry. However, TKGs often suffer from incompleteness for three main
Externí odkaz:
http://arxiv.org/abs/2308.02457
Publikováno v:
Frontiers of Physics, 18, 62302 (2023)
The combination of multi-component Bose-Einstein condensates (BECs) and phase imprinting techniques provides an ideal platform for exploring nonlinear dynamics and investigating the quantum transport properties of superfluids. In this paper, we study
Externí odkaz:
http://arxiv.org/abs/2307.14925
Link prediction on knowledge graphs (KGs) has been extensively studied on binary relational KGs, wherein each fact is represented by a triple. A significant amount of important knowledge, however, is represented by hyper-relational facts where each f
Externí odkaz:
http://arxiv.org/abs/2306.02199