Zobrazeno 1 - 10
of 833
pro vyhledávání: '"Wang, Juncheng"'
We consider joint beamforming and stream allocation to maximize the weighted sum rate (WSR) for non-coherent joint transmission (NCJT) in user-centric cell-free MIMO networks, where distributed access points (APs) are organized in clusters to transmi
Externí odkaz:
http://arxiv.org/abs/2402.18231
Federated Learning (FL) algorithms commonly sample a random subset of clients to address the straggler issue and improve communication efficiency. While recent works have proposed various client sampling methods, they have limitations in joint system
Externí odkaz:
http://arxiv.org/abs/2402.10097
In Earth Observation Satellite Networks (EOSNs) with a large number of battery-carrying satellites, proper power allocation and task scheduling are crucial to improving the data offloading efficiency. As such, we jointly optimize power allocation and
Externí odkaz:
http://arxiv.org/abs/2401.06419
Empirical risk minimization (ERM) is a fundamental machine learning paradigm. However, its generalization ability is limited in various tasks. In this paper, we devise Dummy Risk Minimization (DuRM), a frustratingly easy and general technique to impr
Externí odkaz:
http://arxiv.org/abs/2308.02287
The mainstream crowd counting methods regress density map and integrate it to obtain counting results. Since the density representation to one head accords to its adjacent distribution, it embeds the same category objects with variant values, while h
Externí odkaz:
http://arxiv.org/abs/2212.02248
Publikováno v:
Xibei zhiwu xuebao, Vol 44, Iss 4, Pp 529-538 (2024)
Abstract [Objective] The study aims to investigate the differential efficacy of anti-leaf spot in barley (Hordeum vulgare L.) of various concentrations of exogenous methyl jasmonate (MeJA) and understand the underlying mechanisms, thereby providing
Externí odkaz:
https://doaj.org/article/39653ae9981145d4a8f29b2417cd23b7
Autor:
Wang, Juncheng1,2 (AUTHOR) 15293153957@163.com, Yao, Lirong1,2 (AUTHOR) yaolr@gsau.edu.cn, Hao, Jing1,2 (AUTHOR) haoj@gsau.edu.cn, Li, Chengdao3 (AUTHOR) c.li@murdoch.edu.au, Li, Baochun1,4 (AUTHOR) libc@gsau.edu.cn, Meng, Yaxiong1,2 (AUTHOR) mengyx@gsau.edu.cn, Ma, Xiaole1,2 (AUTHOR) maxl@gsau.edu.cn, Si, Erjing1,2 (AUTHOR) siej@gsau.edu.cn, Yang, Ke1,2 (AUTHOR) yangk@gsau.edu.cn, Zhang, Hong1,2 (AUTHOR) zhangh@gsau.edu.cn, Shang, Xunwu2 (AUTHOR), Wang, Huajun1,2 (AUTHOR) wanghj@gsau.edu.cn
Publikováno v:
International Journal of Molecular Sciences. Jul2024, Vol. 25 Issue 13, p7224. 19p.
Crowd localization is to predict each instance head position in crowd scenarios. Since the distance of instances being to the camera are variant, there exists tremendous gaps among scales of instances within an image, which is called the intrinsic sc
Externí odkaz:
http://arxiv.org/abs/2206.05717
Publikováno v:
IEEE Wireless Communications Letters, 2022
We consider online wireless network virtualization (WNV) in a multi-cell multiple-input multiple output (MIMO) system with delayed feedback of channel state information (CSI). Multiple service providers (SPs) simultaneously share the base station res
Externí odkaz:
http://arxiv.org/abs/2201.07421
Publikováno v:
In Reliability Engineering and System Safety August 2024 248