Zobrazeno 1 - 10
of 2 118
pro vyhledávání: '"LI Zeyu"'
We propose to transfer representational knowledge from multiple sources to a target noisy matrix completion task by aggregating singular subspaces information. Under our representational similarity framework, we first integrate linear representation
Externí odkaz:
http://arxiv.org/abs/2412.06233
Autor:
Zhang, Yiyue, Li, ZeYu, Yang, Kunya, Wei, Linlin, Mi, Xinrun, Wang, Aifeng, Zhou, Xiaoyuan, Yang, Xiaolong, Chai, Yisheng, He, Mingquan
In the ferrimagnetic semiconductor Mn$_3$Si$_2$Te$_6$, a colossal magnetoresistance (CMR) is observed only when a magnetic field is applied along the magnetic hard axis ($\mathbf{H}\parallel c$). This phenomenon suggests an unconventional CMR mechani
Externí odkaz:
http://arxiv.org/abs/2412.01518
While text-to-image models offer numerous benefits, they also pose significant societal risks. Detecting AI-generated images is crucial for mitigating these risks. Detection methods can be broadly categorized into passive and watermark-based approach
Externí odkaz:
http://arxiv.org/abs/2411.13553
Model editing has become an increasingly popular alternative for efficiently updating knowledge within language models. Current methods mainly focus on reliability, generalization, and locality, with many methods excelling across these criteria. Some
Externí odkaz:
http://arxiv.org/abs/2410.18785
We present the first application of color-kinematics (CK) duality at the three-loop level in non-supersymmetric pure Yang-Mills (YM) theory. Building on the minimal deformation approach introduced in \cite{Li:2023akg}, we extend its use to the three-
Externí odkaz:
http://arxiv.org/abs/2410.17041
Reduction of detailed chemical reaction mechanisms is one of the key methods for mitigating the computational cost of reactive flow simulations. Exploitation of species and elementary reaction sparsity ensures the compactness of the reduced mechanism
Externí odkaz:
http://arxiv.org/abs/2410.09901
Autor:
Li, Zeyu Michael
Vision Transformers (ViTs) have become popular in computer vision tasks. Backdoor attacks, which trigger undesirable behaviours in models during inference, threaten ViTs' performance, particularly in security-sensitive tasks. Although backdoor defenc
Externí odkaz:
http://arxiv.org/abs/2410.01128
This paper addresses the challenge of animal re-identification, an emerging field that shares similarities with person re-identification but presents unique complexities due to the diverse species, environments and poses. To facilitate research in th
Externí odkaz:
http://arxiv.org/abs/2410.00204
The reconstruction of physical fields from sparse measurements is pivotal in both scientific research and engineering applications. Traditional methods are increasingly supplemented by deep learning models due to their efficacy in extracting features
Externí odkaz:
http://arxiv.org/abs/2409.17825
Publikováno v:
Frontiers of Physics, 20, 14207 (2025)
Incorporating valley as a degree of freedom into quantum anomalous Hall systems offers a novel approach to manipulating valleytronics in electronic transport. Using the Kane-Mele monolayer as a concrete model, we comprehensively explore the various t
Externí odkaz:
http://arxiv.org/abs/2408.11468