Zobrazeno 1 - 10
of 7 444
pro vyhledávání: '"Du, Xin"'
Autor:
Du, Xin, Shi, Xiaoxia
What impact does import competition have on firms' production organizational choices? Existing literature has predominantly focused on the relationship between import competition and firms' global production networks, with less attention given to dom
Externí odkaz:
http://arxiv.org/abs/2408.13706
The spin-singlet state $\eta_{_{c2}}(^1D_{_2})$ has not been discovered in experiment and it is the only missing low-excited $D$-wave charmonium, so in this paper, we like to study its properties. Using the Bethe-Salpeter equation method, we obtain i
Externí odkaz:
http://arxiv.org/abs/2408.03011
Autor:
Chen, Zhuo, Ma, De, Jin, Xiaofei, Xing, Qinghui, Jin, Ouwen, Du, Xin, He, Shuibing, Pan, Gang
Spiking Neural Networks (SNNs) are extensively utilized in brain-inspired computing and neuroscience research. To enhance the speed and energy efficiency of SNNs, several many-core accelerators have been developed. However, maintaining the accuracy o
Externí odkaz:
http://arxiv.org/abs/2407.20947
We investigate tests of the parity P and the combined parity and charge-conjugate CP symmetries from differential angular distributions of $J/\psi$ decaying into the lowest-lying baryon pairs at BESIII and the next-generation super tau-charm faciliti
Externí odkaz:
http://arxiv.org/abs/2405.09625
We apply an information-theoretic perspective to reconsider generative document retrieval (GDR), in which a document $x \in X$ is indexed by $t \in T$, and a neural autoregressive model is trained to map queries $Q$ to $T$. GDR can be considered to i
Externí odkaz:
http://arxiv.org/abs/2405.10974
Semi-supervised anomaly detection for sensor signals is critical in ensuring system reliability in smart manufacturing. However, existing methods rely heavily on data correlation, neglecting causality and leading to potential misinterpretations due t
Externí odkaz:
http://arxiv.org/abs/2405.06925
Autor:
Du, Xin, Tanaka-Ishii, Kumiko
Publikováno v:
Physical Review Research, 6(2), L022028 (2024)
The correlation dimension of natural language is measured by applying the Grassberger-Procaccia algorithm to high-dimensional sequences produced by a large-scale language model. This method, previously studied only in a Euclidean space, is reformulat
Externí odkaz:
http://arxiv.org/abs/2405.06321
Temporal grounding is crucial in multimodal learning, but it poses challenges when applied to animal behavior data due to the sparsity and uniform distribution of moments. To address these challenges, we propose a novel Positional Recovery Training f
Externí odkaz:
http://arxiv.org/abs/2405.05523
Autor:
Hu, Shijing, Deng, Ruijun, Du, Xin, Lu, Zhihui, Duan, Qiang, He, Yi, Huang, Shih-Chia, Wu, Jie
Recent large vision models (e.g., SAM) enjoy great potential to facilitate intelligent perception with high accuracy. Yet, the resource constraints in the IoT environment tend to limit such large vision models to be locally deployed, incurring consid
Externí odkaz:
http://arxiv.org/abs/2404.10498
Emergence, a global property of complex adaptive systems (CASs) constituted by interactive agents, is prevalent in real-world dynamic systems, e.g., network-level traffic congestions. Detecting its formation and evaporation helps to monitor the state
Externí odkaz:
http://arxiv.org/abs/2401.10300