Zobrazeno 1 - 10
of 425
pro vyhledávání: '"Yuan, Dongfeng"'
Traditional regression and prediction tasks often only provide deterministic point estimates. To estimate the uncertainty or distribution information of the response variable, methods such as Bayesian inference, model ensembling, or MC Dropout are ty
Externí odkaz:
http://arxiv.org/abs/2406.11397
In this paper, we find that ubiquitous time series (TS) forecasting models are prone to severe overfitting. To cope with this problem, we embrace a de-redundancy approach to progressively reinstate the intrinsic values of TS for future intervals. Spe
Externí odkaz:
http://arxiv.org/abs/2402.02332
Meeting the strict Quality of Service (QoS) requirements of terminals has imposed a signiffcant challenge on Multiaccess Edge Computing (MEC) systems, due to the limited multidimensional resources. To address this challenge, we propose a collaborativ
Externí odkaz:
http://arxiv.org/abs/2307.09691
The existing computation and communication (2C) optimization schemes for vehicular edge computing (VEC) networks mainly focus on the physical domain without considering the influence from the social domain. This may greatly limit the potential of tas
Externí odkaz:
http://arxiv.org/abs/2307.03921
As Transformer-based models have achieved impressive performance on various time series tasks, Long-Term Series Forecasting (LTSF) tasks have also received extensive attention in recent years. However, due to the inherent computational complexity and
Externí odkaz:
http://arxiv.org/abs/2306.05035
Reconfigurable intelligent surface (RIS) provides a promising way to build programmable wireless transmission environments. Owing to the massive number of controllable reflecting elements on the surface, RIS is capable of providing considerable passi
Externí odkaz:
http://arxiv.org/abs/2209.15156
The next generation ultra-reliable and low-latency communications (xURLLC) need novel design to provide satisfactory services to the emerging mission-critical applications. To improve the spectrum efficiency and enhance the robustness of xURLLC, this
Externí odkaz:
http://arxiv.org/abs/2209.09138
Autor:
Yuan, Dongfeng1 (AUTHOR), Yang, Junyi1 (AUTHOR), Wu, Weisong1 (AUTHOR), Amier, Yirixiatijiang1 (AUTHOR), Li, Xianmiu1 (AUTHOR), Wan, Wenlong1 (AUTHOR), Huang, Yisheng1 (AUTHOR), Li, Jiabo1 (AUTHOR), Yu, Xiao1,2 (AUTHOR) yujiuhu@163.com
Publikováno v:
BMC Immunology. 6/14/2024, Vol. 25 Issue 1, p1-10. 10p.
Publikováno v:
In Knowledge-Based Systems 25 November 2024 304
Reconfigurable intelligent surface (RIS) provides a promising way to build the programmable wireless transmission environments in the future. Owing to the large number of reflecting elements used at the RIS, joint optimization for the active beamform
Externí odkaz:
http://arxiv.org/abs/2101.02904