A5103094691- Atomic and Subatomic Physics Research
- Time Series Analysis and Forecasting
- Solar and Space Plasma Dynamics
- Complex Network Analysis Techniques
- Ionosphere and magnetosphere dynamics
- Bayesian Modeling and Causal Inference
- Sleep and Work-Related Fatigue
- Gamma-ray bursts and supernovae
- Scientific Computing and Data Management
- Explainable Artificial Intelligence (XAI)
- EEG and Brain-Computer Interfaces
- Advanced Graph Neural Networks
- Obstructive Sleep Apnea Research
- Astrophysics and Cosmic Phenomena
- Astrophysical Phenomena and Observations
Institute of Computing Technology
2023-2025
University of Chinese Academy of Sciences
2019-2023
Chinese Academy of Sciences
2019-2023
Institute of High Energy Physics
2019
<title>Abstract</title> Large-scale neural networks have revolutionized many general knowledge areas (e.g., computer vision and language processing), but are still rarely applied in expert healthcare), due to data sparsity high annotation expenses. Human-in-the-loop machine learning (HIL-ML) incorporates domain into the modeling process, effectively addressing these challenges.Recently, some researchers started using large models substitute for certain tasks typically performed by humans....
The long-term evolution of the centroid energy CRSF in Her X-1 is still a mystery. We report new measurement from campaign between Insight-HXMT and NuSTAR performed February 2018. Generally, two satellites show well consistent results timing spectral properties. joint analysis confirms that previously observed long decay phase has ended, line instead keeps constant around 37.5 keV after flux correction.
Sleep stage classification is crucial for sleep state monitoring and health interventions. In accordance with the standards prescribed by American Academy of Medicine, a episode follows specific structure comprising five distinctive stages that collectively form cycle. Typically, this cycle repeats about times, providing an insightful portrayal subject’s physiological attributes. The progress deep learning advanced domain generalization methods allows automatic even adaptive classification....
Exploring and explaining the effective connectivity (EC) between brain regions can help us understand mechanisms behind neurodegenerative diseases such as Alzheimer's disease, thus helping to diagnose patients better. Causal discovery techniques have been widely used in this domain recently, but diverse methods may produce conflicting outcomes because of differences underlying principles search methods. To solve problem, we integrate causal relationships generated by different algorithms...