1.2k citations
- Zhejiang UniversityCN156 papers
- Chinese Academy of SciencesCN141 papers
- University of Chinese Academy of SciencesCN122 papers
- National Astronomical ObservatoriesCN107 papers
- Nanjing UniversityCN69 papers
- Peking UniversityCN64 papers
- Tsinghua UniversityCN54 papers
- Shanghai Astronomical ObservatoryCN53 papers
- Beijing Normal UniversityCN50 papers
- Purple Mountain ObservatoryCN50 papers
- University of Science and Technology of ChinaCN49 papers
- Shanghai Jiao Tong UniversityCN41 papers
19 papers · 1 filter
Phase sensitivity approaching quantum Cramer-Rao bound in a modified SU(1,1) interferometer
Jian-Dong Zhang, Chenglong You, Chuang Li +1
SU(1,1) interferometers, based on the usage of nonlinear elements, are superior to passive interferometers in phase sensitivity. However, the SU(1,1) interferometer cannot make ful…
Detecting climate teleconnections with Granger causality
Filipi N Silva, Didier A. Vega-Oliveros, Xiaoran Yan +5
Climate system teleconnections are crucial for improving climate predictability, but difficult to quantify. Standard approaches to identify teleconnections are often based on corre…
Deep Learning -- A first Meta-Survey of selected Reviews across Scientific Disciplines, their Commonalities, Challenges and Research Impact
Jan Egger, Antonio Pepe, Christina Gsaxner +3
Deep learning belongs to the field of artificial intelligence, where machines perform tasks that typically require some kind of human intelligence. Similar to the basic structure o…
BCGGAN: Ballistocardiogram artifact removal in simultaneous EEG-fMRI using generative adversarial network
Guang Lin, Jianhai Zhang, Yuxi Liu +4
Due to its advantages of high temporal and spatial resolution, the technology of simultaneous electroencephalogram-functional magnetic resonance imaging (EEG-fMRI) acquisition and…
Efficient Learning of Control Policies for Robust Quadruped Bounding using Pretrained Neural Networks
Zhicheng Wang, Anqiao Li, Yixiao Zheng +4
Bounding is one of the important gaits in quadrupedal locomotion for negotiating obstacles. The authors proposed an effective approach that can learn robust bounding gaits more eff…
VolumeNet: A Lightweight Parallel Network for Super-Resolution of Medical Volumetric Data
Yinhao Li, Yutaro Iwamoto, Lanfen Lin +2
Deep learning-based super-resolution (SR) techniques have generally achieved excellent performance in the computer vision field. Recently, it has been proven that three-dimensional…