175 citations
- Zhejiang UniversityCN18 papers
- State Key Laboratory of Satellite Ocean Environment Dynamics17 papers
- Zhejiang Ocean UniversityCN7 papers
- Ministry of Natural ResourcesCN5 papers
- Texas A&M UniversityUS5 papers
- ETH ZurichCH4 papers
- Universidade Federal do CearáBR4 papers
- Institute for Building MaterialsCH3 papers
- Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou)CN3 papers
- University of California, Los AngelesUS3 papers
- Friedrich-Alexander-Universität Erlangen-NürnbergDE2 papers
- Lanzhou UniversityCN2 papers
29 papers
Advancing biomolecular understanding and design following human instructions
Xiang Zhuang, Keyan Ding, Tianwen Lyu +9
Understanding and designing biomolecules, such as proteins and small molecules, is central to advancing drug discovery, synthetic biology and enzyme engineering. Recent breakthroug…
Quantitative causality, causality-guided scientific discovery, and causal machine learning
X. San Liang, Dake Chen, Renhe Zhang
It has been said, arguably, that causality analysis should pave a promising way to interpretable deep learning and generalization. Incorporation of causality into artificial intell…
The role of hydrodynamics for the spatial distribution of high-temperature hydrothermal vent-endemic fauna in the deep ocean environment
Zhiguo He, Yingzhong Lou, Haoyang Zhang +7
Active hydrothermal vents provide the surrounding submarine environment with substantial amounts of matter and energy, thus serving as important habitats for diverse megabenthic co…
A deep learning method for solving high-order nonlinear soliton equation
Shikun Cui, Zhen Wang, Jiaqi Han +1
We propose effective scheme of deep learning method for high-order nonlinear soliton equation and compare the activation function for high-order soliton equation. The neural networ…
BDANet: Multiscale Convolutional Neural Network with Cross-directional Attention for Building Damage Assessment from Satellite Images
Yu Shen, Sijie Zhu, Taojiannan Yang +5
Fast and effective responses are required when a natural disaster (e.g., earthquake, hurricane, etc.) strikes. Building damage assessment from satellite imagery is critical before…
Efficient Deep Learning of Non-local Features for Hyperspectral Image Classification
Yu Shen, Sijie Zhu, Chen Chen +4
Deep learning based methods, such as Convolution Neural Network (CNN), have demonstrated their efficiency in hyperspectral image (HSI) classification. These methods can automatical…