Zobrazeno 1 - 10
of 31 958
pro vyhledávání: '"Jianbin An"'
Autor:
Xu, Ke, Liang, Ting, Xu, Nan, Ying, Penghua, Chen, Shunda, Wei, Ning, Xu, Jianbin, Fan, Zheyong
Water's unique hydrogen-bonding network and anomalous properties present significant challenges for accurately modeling its structural, thermodynamic, and transport behavior across varied conditions. Although machine-learned potentials have advanced
Externí odkaz:
http://arxiv.org/abs/2411.09631
Entity alignment is crucial for merging knowledge across knowledge graphs, as it matches entities with identical semantics. The standard method matches these entities based on their embedding similarities using semi-supervised learning. However, dive
Externí odkaz:
http://arxiv.org/abs/2410.20733
Autor:
Huo, Yejing, Huang, Guoheng, Cheng, Lianglun, He, Jianbin, Chen, Xuhang, Yuan, Xiaochen, Zhong, Guo, Pun, Chi-Man
Accurate prediction of mortality in nasopharyngeal carcinoma (NPC), a complex malignancy particularly challenging in advanced stages, is crucial for optimizing treatment strategies and improving patient outcomes. However, this predictive process is o
Externí odkaz:
http://arxiv.org/abs/2410.18551
Graph contrastive learning (GCL) has been widely applied to text classification tasks due to its ability to generate self-supervised signals from unlabeled data, thus facilitating model training. However, existing GCL-based text classification method
Externí odkaz:
http://arxiv.org/abs/2410.18130
Silicon modulators have garnered considerable attention owing to their potential applications in high-density integration and high-speed modulation. However, they are increasingly challenged by the limited 3 dB bandwidth as the demand for modulation
Externí odkaz:
http://arxiv.org/abs/2410.09816
Heterogeneous functional data are commonly seen in time series and longitudinal data analysis. To capture the statistical structures of such data, we propose the framework of Functional Singular Value Decomposition (FSVD), a unified framework with st
Externí odkaz:
http://arxiv.org/abs/2410.03619
Multi-modal Large Language Models (MLLMs) have exhibited impressive capability. However, recently many deficiencies of MLLMs have been found compared to human intelligence, $\textit{e.g.}$, hallucination. To drive the MLLMs study, the community dedic
Externí odkaz:
http://arxiv.org/abs/2410.01417
Phonon coherence elucidates the propagation and interaction of phonon quantum states within superlattice, unveiling the wave-like nature and collective behaviors of phonons. Taking MoSe$_2$/WSe$_2$ lateral heterostructures as a model system, we demon
Externí odkaz:
http://arxiv.org/abs/2410.01311
Large Language Models (LLMs) have demonstrated significant capabilities across numerous application domains. A key challenge is to keep these models updated with latest available information, which limits the true potential of these models for the en
Externí odkaz:
http://arxiv.org/abs/2409.12257
This paper investigates the mission planning problem for spacecraft confronting orbital debris to achieve autonomous avoidance. Firstly, combined with the avoidance requirements, a closed-loop framework of autonomous avoidance for orbital debris is p
Externí odkaz:
http://arxiv.org/abs/2409.09959