Yuxi Zhou
Orcid: 0009-0000-3723-110X
According to our database1,
Yuxi Zhou
authored at least 36 papers
between 2017 and 2025.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
On csauthors.net:
Bibliography
2025
Masked Training for Robust Arrhythmia Detection from Digitalized Multiple Layout ECG Images.
CoRR, August, 2025
IEEE Trans. Medical Imaging, July, 2025
SpiroLLM: Finetuning Pretrained LLMs to Understand Spirogram Time Series with Clinical Validation in COPD Reporting.
CoRR, July, 2025
KidneyTalk-open: No-code Deployment of a Private Large Language Model with Medical Documentation-Enhanced Knowledge Database for Kidney Disease.
CoRR, March, 2025
Vis. Comput., February, 2025
CORE: Multi-link graph attention network with inter-regional collaboration for continuous sign language recognition.
Pattern Recognit., 2025
Comput. Animat. Virtual Worlds, 2025
Al2O3/AlN/GaN MOS-HEMTs on 6-inch silicon substrate with high transconductance and state-of-the-art fmax × LG.
Sci. China Inf. Sci., 2025
A deep learning method for beat-level risk analysis and interpretation of atrial fibrillation patients during sinus rhythm.
Biomed. Signal Process. Control., 2025
Coordinating Music Signals and Electrocardiogram Signals in a Shared Valence-Arousal Emotional Space.
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2025
Intrusion Detection for Intelligent Transportation Systems: A lightweight interpretable model.
Proceedings of the 2025 IEEE International Conference on Acoustics, 2025
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 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
Proceedings of the IEEE International Conference on Real-time Computing and Robotics, 2024
Analysis and Optimization for Artificial Noise Aided Physical Layer Security Under Clock Jitter.
Proceedings of the IEEE International Conference on Communications Workshops, 2024
Co-site Interference Suppression of Airborne Joint Communication and Sensing Platform Based on NYFR.
Proceedings of the IEEE Globecom Workshops 2024, 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