Machine learning based early warning system enables accurate mortality risk prediction for COVID-19
Y Gao, GY Cai, W Fang, HY Li, SY Wang… - Nature …, 2020 - nature.com
Soaring cases of coronavirus disease (COVID-19) are pummeling the global health system.
Overwhelmed health facilities have endeavored to mitigate the pandemic, but mortality of …
Overwhelmed health facilities have endeavored to mitigate the pandemic, but mortality of …
Towards 6G wireless communication networks: Vision, enabling technologies, and new paradigm shifts
The fifth generation (5G) wireless communication networks are being deployed worldwide
from 2020 and more capabilities are in the process of being standardized, such as mass …
from 2020 and more capabilities are in the process of being standardized, such as mass …
Copper-coordinated cellulose ion conductors for solid-state batteries
Although solid-state lithium (Li)-metal batteries promise both high energy density and safety,
existing solid ion conductors fail to satisfy the rigorous requirements of battery operations. …
existing solid ion conductors fail to satisfy the rigorous requirements of battery operations. …
Hypergraph neural networks
In this paper, we present a hypergraph neural networks (HGNN) framework for data
representation learning, which can encode high-order data correlation in a hypergraph structure. …
representation learning, which can encode high-order data correlation in a hypergraph structure. …
Polymer–inorganic solid–electrolyte interphase for stable lithium metal batteries under lean electrolyte conditions
The solid–electrolyte interphase (SEI) is pivotal in stabilizing lithium metal anodes for
rechargeable batteries. However, the SEI is constantly reforming and consuming electrolyte with …
rechargeable batteries. However, the SEI is constantly reforming and consuming electrolyte with …
Learning to prompt for open-vocabulary object detection with vision-language model
Recently, vision-language pre-training shows great potential in open-vocabulary object
detection, where detectors trained on base classes are devised for detecting new classes. The …
detection, where detectors trained on base classes are devised for detecting new classes. The …
Low-temperature and high-rate-charging lithium metal batteries enabled by an electrochemically active monolayer-regulated interface
Stable operation of rechargeable lithium-based batteries at low temperatures is important
for cold-climate applications, but is plagued by dendritic Li plating and unstable solid–…
for cold-climate applications, but is plagued by dendritic Li plating and unstable solid–…
3-D object retrieval and recognition with hypergraph analysis
View-based 3-D object retrieval and recognition has become popular in practice, eg, in
computer aided design. It is difficult to precisely estimate the distance between two objects …
computer aided design. It is difficult to precisely estimate the distance between two objects …
Gvcnn: Group-view convolutional neural networks for 3d shape recognition
3D shape recognition has attracted much attention recently. Its recent advances advocate
the usage of deep features and achieve the state-of-the-art performance. However, existing …
the usage of deep features and achieve the state-of-the-art performance. However, existing …
Enhancing the physical layer security of non-orthogonal multiple access in large-scale networks
This paper investigates the physical layer security of non-orthogonal multiple access (NOMA)
in large-scale networks with invoking stochastic geometry. Both single-antenna and …
in large-scale networks with invoking stochastic geometry. Both single-antenna and …