Yuxi Zhou
Orcid: 0009-0000-3723-110X
According to our database1,
Yuxi Zhou
authored at least 24 papers
between 2017 and 2025.
Collaborative distances:
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Bibliography
2025
A deep learning method for beat-level risk analysis and interpretation of atrial fibrillation patients during sinus rhythm.
Biomed. Signal Process. Control., 2025
2024
Cardiac murmur grading and risk analysis of cardiac diseases based on adaptable heterogeneous-modality multi-task learning.
Health Inf. Sci. Syst., December, 2024
Multi-scale SE-residual network with transformer encoder for myocardial infarction classification.
Appl. Soft Comput., December, 2024
Deep Learning for Detecting and Early Predicting Chronic Obstructive Pulmonary Disease from Spirogram Time Series: A UK Biobank Study.
CoRR, 2024
Analysis and Optimization for Artificial Noise Aided Physical Layer Security Under Clock Jitter.
Proceedings of the IEEE International Conference on Communications Workshops, 2024
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
Vis. Intell., 2023
CoRR, 2023
Analysis of Full-Duplex Radios With Transceiver Phase Noise on Spectrum-Tight Battlefields.
Proceedings of the IEEE Military Communications Conference, 2023
Proceedings of the 2023 5th International Conference on Information Technology and Computer Communications, 2023
Proceedings of the IEEE 3rd International Conference on Digital Twins and Parallel Intelligence, 2023
Proceedings of the 15th IEEE International Conference on ASIC, 2023
2022
IEEE Trans. Aerosp. Electron. Syst., 2022
Dynamic elastic modulus assessment of the early degeneration model of an intervertebral disc in cynomolgus monkeys with one strike loading.
Comput. Methods Programs Biomed., 2022
Learning Optimal Treatment Strategies for Sepsis Using Offline Reinforcement Learning in Continuous Space.
Proceedings of the Health Information Science - 11th International Conference, 2022
2021
Transnationality, Socialism, Modernity: Text Spread of the Bauhaus and Emergence of Modern Design in China.
Proceedings of the Advances in Creativity, Innovation, Entrepreneurship and Communication of Design, 2021
2020
Addressing Noise and Skewness in Interpretable Health-Condition Assessment by Learning Model Confidence.
Sensors, 2020
Knowledge-shot learning: An interpretable deep model for classifying imbalanced electrocardiography data.
Neurocomputing, 2020
Opportunities and challenges of deep learning methods for electrocardiogram data: A systematic review.
Comput. Biol. Medicine, 2020
2019
K-margin-based Residual-Convolution-Recurrent Neural Network for Atrial Fibrillation Detection.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019
2018
Knowledge Guided Multi-instance Multi-label Learning via Neural Networks in Medicines Prediction.
Proceedings of The 10th Asian Conference on Machine Learning, 2018
2017
ENCASE: an ENsemble ClASsifiEr for ECG Classification Using Expert Features and Deep Neural Networks.
Proceedings of the Computing in Cardiology, 2017