Zobrazeno 1 - 10
of 6 334
pro vyhledávání: '"A-qiao Li"'
Autor:
Peng-xiang Diwu, Beichen Zhao, Hangxiangpan Wang, Chao Wen, Siwei Nie, Wenjing Wei, A-qiao Li, Jingjie Xu, Fengyuan Zhang
Publikováno v:
Petroleum Research, Vol 9, Iss 4, Pp 541-552 (2024)
CO2 huff and puff technology can enhance the recovery of heavy oil in high-water-cut stages. However, the effectiveness of this method varies significantly under different geological and fluid conditions, which leads to a high-dimensional and small-s
Externí odkaz:
https://doaj.org/article/2e6f244aaf12435d860b7e068538247f
Generative diffusion models (GDMs) have recently shown great success in synthesizing multimedia signals with high perceptual quality enabling highly efficient semantic communications in future wireless networks. In this paper, we develop an intent-aw
Externí odkaz:
http://arxiv.org/abs/2411.02334
Autor:
Ren, Mengmeng, Qiao, Li, Yang, Long, Gao, Zhen, Chen, Jian, Mashhadi, Mahdi Boloursaz, Xiao, Pei, Tafazolli, Rahim, Bennis, Mehdi
This paper develops an edge-device collaborative Generative Semantic Communications (Gen SemCom) framework leveraging pre-trained Multi-modal/Vision Language Models (M/VLMs) for ultra-low-rate semantic communication via textual prompts. The proposed
Externí odkaz:
http://arxiv.org/abs/2409.09715
We consider collaborative inference at the wireless edge, where each client's model is trained independently on their local datasets. Clients are queried in parallel to make an accurate decision collaboratively. In addition to maximizing the inferenc
Externí odkaz:
http://arxiv.org/abs/2407.21151
Autor:
Zeng, Ye, Qiao, Li, Gao, Zhen, Qin, Tong, Wu, Zhonghuai, Khalaf, Emad, Chen, Sheng, Guizani, Mohsen
In massive multiple-input multiple-output (MIMO) systems, how to reliably acquire downlink channel state information (CSI) with low overhead is challenging. In this work, by integrating the generative pre-trained Transformer (GPT) with federated-tuni
Externí odkaz:
http://arxiv.org/abs/2406.03438
Over-the-air computation (AirComp) is a promising technology converging communication and computation over wireless networks, which can be particularly effective in model training, inference, and more emerging edge intelligence applications. AirComp
Externí odkaz:
http://arxiv.org/abs/2405.15969
Publikováno v:
Phys. Rev. Materials 8, 034003 (2024)
Twist between neighboring layers and variation of interlayer distance are two extra ways to control the physical properties of stacked two-dimensional van der Waals materials without alteration of chemical compositions or application of external fiel
Externí odkaz:
http://arxiv.org/abs/2404.11911
Generative foundation AI models have recently shown great success in synthesizing natural signals with high perceptual quality using only textual prompts and conditioning signals to guide the generation process. This enables semantic communications a
Externí odkaz:
http://arxiv.org/abs/2403.17256
Autor:
Liu, Hongshan, Qin, Tong, Gao, Zhen, Mao, Tianqi, Ying, Keke, Wan, Ziwei, Qiao, Li, Na, Rui, Li, Zhongxiang, Hu, Chun, Mei, Yikun, Li, Tuan, Wen, Guanghui, Chen, Lei, Wu, Zhonghuai, Liu, Ruiqi, Chen, Gaojie, Wang, Shuo, Zheng, Dezhi
This article presents a comprehensive study on the emerging near-space communications (NS-COM) within the context of space-air-ground-sea integrated network (SAGSIN). Specifically, we firstly explore the recent technical developments of NS-COM, follo
Externí odkaz:
http://arxiv.org/abs/2401.00283
In this paper, we present a stochastic forward-backward-half forward splitting algorithm with variance reduction for solving the structured monotone inclusion problem composed of a maximally monotone operator, a maximally monotone and Lipschitz conti
Externí odkaz:
http://arxiv.org/abs/2312.00272