Zobrazeno 1 - 10
of 20 285
pro vyhledávání: '"An, Dongyang"'
Continuous prompts have become widely adopted for augmenting performance across a wide range of natural language tasks. However, the underlying mechanism of this enhancement remains obscure. Previous studies rely on individual words for interpreting
Externí odkaz:
http://arxiv.org/abs/2412.01644
Vehicular Ad-hoc Networks (VANETs) operate in highly dynamic environments characterized by high mobility, time-varying channel conditions, and frequent network disruptions. Addressing these challenges, this paper presents a novel temporal-aware multi
Externí odkaz:
http://arxiv.org/abs/2412.07011
This letter presents a blockchain-based multi-path mobile access point (MAP) selection strategy for secure 5G vehicular ad-hoc networks (VANETs). The proposed method leverages blockchain technology for decentralized, transparent, and secure MAP selec
Externí odkaz:
http://arxiv.org/abs/2411.03371
To alleviate computational load on RSUs and cloud platforms, reduce communication bandwidth requirements, and provide a more stable vehicular network service, this paper proposes an optimized pinning control approach for heterogeneous multi-network v
Externí odkaz:
http://arxiv.org/abs/2411.03027
Despite significant progress in visual decoding with fMRI data, its high cost and low temporal resolution limit widespread applicability. To address these challenges, we introduce RealMind, a novel EEG-based visual decoding framework that leverages m
Externí odkaz:
http://arxiv.org/abs/2410.23754
In this work, we investigate the sampling and reconstruction of spectrally $s$-sparse bandlimited graph signals governed by heat diffusion processes. We propose a random space-time sampling regime, referred to as {randomized} dynamical sampling, wher
Externí odkaz:
http://arxiv.org/abs/2410.18005
Data-free knowledge distillation (DFKD) has emerged as a pivotal technique in the domain of model compression, substantially reducing the dependency on the original training data. Nonetheless, conventional DFKD methods that employ synthesized trainin
Externí odkaz:
http://arxiv.org/abs/2410.17606
The Integrated Timetabling and Vehicle Scheduling (TTVS) problem has extensive applications in all sorts of transit networks. Recently, the emerging modular autonomous vehicles composed of modular autonomous units have made it possible to dynamically
Externí odkaz:
http://arxiv.org/abs/2410.16409
Rectified Flow Transformers (RFTs) offer superior training and inference efficiency, making them likely the most viable direction for scaling up diffusion models. However, progress in generation resolution has been relatively slow due to data quality
Externí odkaz:
http://arxiv.org/abs/2410.07536
Autor:
Liang, Jing, Yang, Dongyang, Wu, Jingda, Xiao, Yunhuan, Watanabe, Kenji, Taniguchi, Takashi, Dadap, Jerry I., Ye, Ziliang
Exploring the pathways of polarization switching in 2D sliding ferroelectrics with multiple internal interfaces is crucial for understanding the switching mechanism and for enhancing their performance in memory-related applications. However, distingu
Externí odkaz:
http://arxiv.org/abs/2410.02973