Zobrazeno 1 - 10
of 12 463
pro vyhledávání: '"Fan Wei"'
Most studies on baryon number violating (BNV) processes in the literature focus on free or bound nucleons in nuclei, with limited attention given to the decay of bound atoms. Given that hydrogen is the most abundant atom in the universe, it is partic
Externí odkaz:
http://arxiv.org/abs/2412.20774
Autor:
Li, Zhuoran, Fan, Wei
Recently the Krylov operator complexity is proposed to evaluate the operator growth in quantum systems, and the variance of its Lanzcos coefficients is used as an important parameter for chaos. In this paper, we generate samples of random initial ope
Externí odkaz:
http://arxiv.org/abs/2411.18436
Variable Subset Forecasting (VSF) refers to a unique scenario in multivariate time series forecasting, where available variables in the inference phase are only a subset of the variables in the training phase. VSF presents significant challenges as t
Externí odkaz:
http://arxiv.org/abs/2411.09928
Embodied reference understanding is crucial for intelligent agents to predict referents based on human intention through gesture signals and language descriptions. This paper introduces the Attention-Dynamic DINO, a novel framework designed to mitiga
Externí odkaz:
http://arxiv.org/abs/2411.08451
While numerous forecasters have been proposed using different network architectures, the Transformer-based models have state-of-the-art performance in time series forecasting. However, forecasters based on Transformers are still suffering from vulner
Externí odkaz:
http://arxiv.org/abs/2411.01623
An asymptotically flat hairy black hole (HBH) can exhibit distinct characteristics when compared to the Schwarzschild black hole, due to the evasion of no-hair theorem by minimally coupling the Einstein gravity with a scalar potential which possesses
Externí odkaz:
http://arxiv.org/abs/2411.00565
Real estate appraisal is important for a variety of endeavors such as real estate deals, investment analysis, and real property taxation. Recently, deep learning has shown great promise for real estate appraisal by harnessing substantial online trans
Externí odkaz:
http://arxiv.org/abs/2410.08947
In-vehicle wireless networks are crucial for advancing smart transportation systems and enhancing interaction among vehicles and their occupants. However, there are limited studies in the current state of the art that investigate the in-vehicle chann
Externí odkaz:
http://arxiv.org/abs/2410.02410
Autor:
Xing, Yan, Xu, Qi'ao, Zeng, Jingcheng, Huang, Rui, Gao, Sihua, Xu, Weifeng, Zhang, Yuxiang, Fan, Wei
Semi-supervised change detection (SSCD) utilizes partially labeled data and a large amount of unlabeled data to detect changes. However, the transformer-based SSCD network does not perform as well as the convolution-based SSCD network due to the lack
Externí odkaz:
http://arxiv.org/abs/2409.15021
Spatio-temporal forecasting is pivotal in numerous real-world applications, including transportation planning, energy management, and climate monitoring. In this work, we aim to harness the reasoning and generalization abilities of Pre-trained Langua
Externí odkaz:
http://arxiv.org/abs/2408.14505