User profiles for Shuai Yu

Shuai Yu

Sun Yat-sen University (SYSU)
Verified email at mail.sysu.edu.cn
Cited by 2646

Prevalence and proliferation of antibiotic resistance genes in two municipal wastewater treatment plants

D Mao, S Yu, M Rysz, Y Luo, F Yang, F Li, J Hou, Q Mu… - Water research, 2015 - Elsevier
The propagation of antibiotic resistance genes (ARGs) is an emerging health concern worldwide.
Thus, it is important to understand and mitigate their occurrence in different systems. In …

HFEL: Joint edge association and resource allocation for cost-efficient hierarchical federated edge learning

…, X Chen, Q Wu, Z Zhou, S Yu - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Federated Learning (FL) has been proposed as an appealing approach to handle data privacy
issue of mobile devices compared to conventional machine learning at the remote cloud …

[HTML][HTML] Subcritical water extraction of natural products

Y Cheng, F Xue, S Yu, S Du, Y Yang - Molecules, 2021 - mdpi.com
Subcritical water refers to high-temperature and high-pressure water. A unique and useful
characteristic of subcritical water is that its polarity can be dramatically decreased with …

When deep reinforcement learning meets federated learning: Intelligent multitimescale resource management for multiaccess edge computing in 5G ultradense …

S Yu, X Chen, Z Zhou, X Gong… - IEEE Internet of Things …, 2020 - ieeexplore.ieee.org
Recently, smart cities, healthcare system, and smart vehicles have raised challenges on the
capability and connectivity of state-of-the-art Internet-of-Things (IoT) devices, especially for …

Computation offloading with data caching enhancement for mobile edge computing

S Yu, R Langar, X Fu, L Wang… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
Computation offloading is a proven successful paradigm for enabling resource-intensive
applications on mobile devices. Moreover, in view of emerging mobile collaborative application, …

Computation offloading for mobile edge computing: A deep learning approach

S Yu, X Wang, R Langar - 2017 IEEE 28th Annual International …, 2017 - ieeexplore.ieee.org
Computation offloading has already shown itself to be successful for enabling resource-intensive
applications on mobile devices. Moreover, in view of mobile edge computing (MEC) …

Sustainable activated carbons from dead ginkgo leaves for supercapacitor electrode active materials

X Zhu, S Yu, K Xu, Y Zhang, L Zhang, G Lou… - Chemical Engineering …, 2018 - Elsevier
The practical applications of some advanced carbon nanomaterials in supercapacitors are
still hampered by the resource scarcity and high cost. It arouses great interest to seek for …

EC-SAGINs: Edge-computing-enhanced space–air–ground-integrated networks for internet of vehicles

S Yu, X Gong, Q Shi, X Wang… - IEEE Internet of Things …, 2021 - ieeexplore.ieee.org
Edge-computing-enhanced Internet of Vehicles (EC-IoV) enables ubiquitous data processing
and content sharing among vehicles and terrestrial edge computing (TEC) infrastructures (…

Review of macroporous materials as electrochemical supercapacitor electrodes

Y Zhang, S Yu, G Lou, Y Shen, H Chen, Z Shen… - Journal of Materials …, 2017 - Springer
Benefitting from excellent reversibility, high power density, and long cycle lifetime,
electrochemical supercapacitors have become a versatile solution to meet the needs of various …

FedLEO: An offloading-assisted decentralized federated learning framework for low earth orbit satellite networks

Z Zhai, Q Wu, S Yu, R Li, F Zhang… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Low Earth orbit (LEO) satellites enable complex Earth observation tasks (eg, remote sensing
and cooperative monitoring) by leveraging large-scale satellite-generated Earth imageries …