Shenda Hong
Peking University(CN)Beijing Academy of Artificial Intelligence(CN)
Publications by Year
Research Areas
ECG Monitoring and Analysis, EEG and Brain-Computer Interfaces, Machine Learning in Healthcare, Time Series Analysis and Forecasting, Phonocardiography and Auscultation Techniques
Most-Cited Works
- → Diffusion Models: A Comprehensive Survey of Methods and Applications(2023)1,297 cited
- → Opportunities and challenges of deep learning methods for electrocardiogram data: A systematic review(2020)438 cited
- → ENCASE: an ENsemble ClASsifiEr for ECG Classification Using Expert Features and Deep Neural Networks(2017)165 cited
- → A Systematic Review of Echo State Networks From Design to Application(2022)84 cited
- → Combining deep neural networks and engineered features for cardiac arrhythmia detection from ECG recordings(2019)77 cited
- → HOLMES: Health OnLine Model Ensemble Serving for Deep Learning Models in Intensive Care Units(2020)76 cited
- → Pay Attention to Evolution: Time Series Forecasting With Deep Graph-Evolution Learning(2021)75 cited
- → MINA: Multilevel Knowledge-Guided Attention for Modeling Electrocardiography Signals(2019)73 cited
- → Development of Expert-Level Classification of Seizures and Rhythmic and Periodic Patterns During EEG Interpretation(2023)68 cited