Zobrazeno 1 - 10
of 6 314
pro vyhledávání: '"HE, HUI"'
Publikováno v:
Phys. Rev. B 110, 195121 (2024)
While the conducting CuO$_2$ planes in cuprate superconductors have been widely recognized as a crucial component in producing high superconducting $T_\text{c}$, recent experimental and theoretical studies on Ba$_{2-x}$Sr$_x$CuO$_{3+}$$_\delta$ have
Externí odkaz:
http://arxiv.org/abs/2411.13301
While numerous forecasters have been proposed using different network architectures, the Transformer-based models have state-of-the-art performance in time series forecasting. However, forecasters based on Transformers are still suffering from vulner
Externí odkaz:
http://arxiv.org/abs/2411.01623
Temporal Heterogeneous Networks play a crucial role in capturing the dynamics and heterogeneity inherent in various real-world complex systems, rendering them a noteworthy research avenue for link prediction. However, existing methods fail to capture
Externí odkaz:
http://arxiv.org/abs/2411.00612
Schizophrenia is a serious psychiatric disorder. Its pathogenesis is not completely clear, making it difficult to treat patients precisely. Because of the complicated non-Euclidean network structure of the human brain, learning critical information f
Externí odkaz:
http://arxiv.org/abs/2408.13830
Autor:
He, Hui
We consider a two-type reducible branching Brownian motion, defined as a particle system on the real line in which particles of two types move according to independent Brownian motions and create offspring at a constant rate. Particles of type $1$ ca
Externí odkaz:
http://arxiv.org/abs/2408.00532
The non-stationary nature of real-world Multivariate Time Series (MTS) data presents forecasting models with a formidable challenge of the time-variant distribution of time series, referred to as distribution shift. Existing studies on the distributi
Externí odkaz:
http://arxiv.org/abs/2407.13194
Multi-modal recommendation greatly enhances the performance of recommender systems by modeling the auxiliary information from multi-modality contents. Most existing multi-modal recommendation models primarily exploit multimedia information propagatio
Externí odkaz:
http://arxiv.org/abs/2407.05420
Autor:
Lv, Xing-Jian, Bi, Xiao-Jun, Fang, Kun, Guo, Yi-Qing, He, Hui-Hai, Ma, Ling-Ling, Yin, Peng-Fei, Yuan, Qiang, Zhao, Meng-Jie
Recently LHAASO Collaboration gives precise measurements of cosmic rays (CR) all particle energy spectrum and mean logarithmic mass $\left \langle \ln A \right \rangle$ from 0.3 PeV to 30 PeV. Combining the CR measurements by AMS-02 and DAMPE in spac
Externí odkaz:
http://arxiv.org/abs/2403.11832
Multivariate time series (MTS) forecasting is crucial in many real-world applications. To achieve accurate MTS forecasting, it is essential to simultaneously consider both intra- and inter-series relationships among time series data. However, previou
Externí odkaz:
http://arxiv.org/abs/2402.15134
Publikováno v:
Wireless Communications and Mobile Computing, 2021
Mobile edge computing (MEC) pushes computing resources to the edge of the network and distributes them at the edge of the mobile network. Offloading computing tasks to the edge instead of the cloud can reduce computing latency and backhaul load simul
Externí odkaz:
http://arxiv.org/abs/2402.13529