Kavli Affiliate: Ran Wang | First 5 Authors: Guanyu Gao, Yuqi Dong, Ran Wang, , | Summary: Deep Neural Network (DNN) based video analytics empowers many computer vision-based applications to achieve high recognition accuracy. To reduce inference delay and bandwidth cost for video analytics, the DNN models can be deployed on the edge nodes, which […]
Kavli Affiliate: Ran Wang | First 5 Authors: Guanyu Gao, Yuqi Dong, Ran Wang, Xin Zhou, | Summary: Deep Neural Network (DNN)-based video analytics significantly improves recognition accuracy in computer vision applications. Deploying DNN models at edge nodes, closer to end users, reduces inference delay and minimizes bandwidth costs. However, these resource-constrained edge nodes may […]
Kavli Affiliate: Zhuo Li | First 5 Authors: Jia Allen Li, Ge Li, Zhuo Li, Zhi Jin, Xing Hu | Summary: Developers often perform repetitive code editing activities for various reasons (e.g., code refactoring) during software development. Pre-trained code editing models have achieved the state-of-the-art (SOTA) results. Pre-trained models are first pre-trained with pre-training tasks […]
Kavli Affiliate: Zhuo Li | First 5 Authors: Jia Li, Ge Li, Zhuo Li, Zhi Jin, Xing Hu | Summary: Developers often perform repetitive code editing activities for various reasons (e.g., code refactoring) during software development. Pre-trained code editing models have achieved the state-of-the-art (SOTA) results. Pre-trained models are first pre-trained with pre-training tasks and […]
Kavli Affiliate: Ke Wang | First 5 Authors: Xiao-Ming Bi, Lu Chen, Ke Wang, , | Summary: Primordial black holes (PBHs) are mainly characterized by their mass function, in which there may be some huge suppression for certain mass spans. If this is the case, the absence of these PBHs will form mass gaps. In […]
Kavli Affiliate: Jiansheng Chen | First 5 Authors: Jingyuan Zhu, Huimin Ma, Jiansheng Chen, Jian Yuan, | Summary: Few-shot image generation aims to generate images of high quality and great diversity with limited data. However, it is difficult for modern GANs to avoid overfitting when trained on only a few images. The discriminator can easily […]
Kavli Affiliate: Jiansheng Chen | First 5 Authors: Jingyuan Zhu, Huimin Ma, Jiansheng Chen, Jian Yuan, | Summary: Few-shot image generation aims to generate images of high quality and great diversity with limited data. However, it is difficult for modern GANs to avoid overfitting when trained on only a few images. The discriminator can easily […]
Kavli Affiliate: Feng Yuan | First 5 Authors: Aditi Vijayan, Bocheng Zhu, Miao Li, Feng Yuan, Luis C. Ho | Summary: Interstellar (ISM) and circumgalactic mediums (CGM) around galaxies are linked to several physical processes that drive galaxy evolution. For example, the X-ray emission from the CGM gas around ellipticals has been linked to the […]
Kavli Affiliate: Feng Yuan | First 5 Authors: Aditi Vijayan, Bocheng Zhu, Miao Li, Feng Yuan, Luis C. Ho | Summary: Interstellar (ISM) and circumgalactic mediums (CGM) around galaxies are linked to several physical processes that drive galaxy evolution. For example, the X-ray emission from the CGM gas around ellipticals has been linked to the […]
Kavli Affiliate: Ran Wang | First 5 Authors: Ran Wang, , , , | Summary: Consider the stochastic partial differential equation begin{equation*} frac{partial }{partial t}u_t(x)= -(-Delta)^{frac{alpha}{2}}u_t(x) +bleft(u_t(x)right)+sigmaleft(u_t(x)right) dot F(t, x), tge0, xin mathbb R^d, end{equation*} where $-(-Delta)^{frac{alpha}{2}}$ denotes the fractional Laplacian with the power $alpha/2in (1/2,1]$, and the driving noise $dot F$ is a centered […]