Kavli Affiliate: Jing Wang | First 5 Authors: Wen-Hao Bian, Xiao-Zhuo Chu, Jing Wang, , | Summary: We study the interplay between fermion-fermion interactions and disorder scatterings beneath the superconducting dome of noncentrosymmetric nodal-line superconductors. With the application of renormalization group, several interesting low-energy behaviors are extracted from the coupled equations of all interaction parameters. […]

Kavli Affiliate: Ran Wang | First 5 Authors: Mohamed Naveed Gul Mohamed, Raman Goyal, Suman Chakravorty, Ran Wang, | Summary: This paper considers the problem of system identification for linear time varying systems. We propose a new system realization approach that uses an "information-state" as the state vector, where the "information-state" is composed of a […]

Kavli Affiliate: Jing Wang | First 5 Authors: Phanuel Mariano, Jing Wang, , , | Summary: Assuming the heat kernel on a doubling Dirichlet metric measure space has a generalized sub-Gaussian bound, we prove an asymptotically sharp spectral upper bound on the survival probability of the associated diffusion process. As a consequence, we can show […]

Kavli Affiliate: Kejia Lee | First 5 Authors: Mingyu Ge, Yuan-Pei Yang, Fangjun Lu, Shiqi Zhou, Long Ji | Summary: Fast radio bursts (FRBs) are short pulses observed in radio frequencies usually originating from cosmological distances. The discovery of FRB 200428 and its X-ray counterpart from the Galactic magnetar SGR J1935+2154 suggests that at least […]

Kavli Affiliate: Kejia Lee | First 5 Authors: Mingyu Ge, Yuan-Pei Yang, Fangjun Lu, Shiqi Zhou, Long Ji | Summary: Fast radio bursts (FRBs) are short pulses observed in radio frequencies usually originating from cosmological distances. The discovery of FRB 200428 and its X-ray counterpart from the Galactic magnetar SGR J1935+2154 suggests that at least […]

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 […]