Yang Yang

Orcid: 0000-0002-0576-9455

Affiliations:
  • University of Oxford, Department of Engineering Science, nstitute of Biomedical Engineering, UK
  • Oxford-Suzhou Centre for Advanced Research, Suzhou, China
  • Shanghai Jiao Tong University School of Medicine, School of Public Health, Department of Mechanical Engineering, China (PhD 2013)


According to our database1, Yang Yang authored at least 16 papers between 2016 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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2021
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2023
2024
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Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
DuKA: A Dual-Keyless-Attention Model for Multi-Modality EHR Data Fusion and Organ Failure Prediction.
IEEE Trans. Biomed. Eng., April, 2024

A Comparison of Representation Learning Methods for Medical Concepts in EHR Databases.
Proceedings of the 15th ACM International Conference on Bioinformatics, 2024

2023
Patient Clustering for Vital Organ Failure Using ICD Code With Graph Attention.
IEEE Trans. Biomed. Eng., August, 2023

Privacy-Aware Early Detection of COVID-19 Through Adversarial Training.
IEEE J. Biomed. Health Informatics, March, 2023

An adversarial training framework for mitigating algorithmic biases in clinical machine learning.
npj Digit. Medicine, 2023

A medical multimodal large language model for future pandemics.
npj Digit. Medicine, 2023

2022
A Deep Learning Approach for the Assessment of Signal Quality of Non-Invasive Foetal Electrocardiography.
Sensors, 2022

Retrieve, Reason, and Refine: Generating Accurate and Faithful Patient Instructions.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021
An end-to-end heterogeneous graph attention network for Mycobacterium tuberculosis drug-resistance prediction.
Briefings Bioinform., 2021

2019
DeepAMR for predicting co-occurrent resistance of Mycobacterium tuberculosis.
Bioinform., 2019

Application of machine learning techniques to tuberculosis drug resistance analysis.
Bioinform., 2019

Patient-Specific Physiological Monitoring and Prediction Using Structured Gaussian Processes.
IEEE Access, 2019

2018
Machine learning for classifying tuberculosis drug-resistance from DNA sequencing data.
Bioinform., 2018

Does Higher Order LSTM Have Better Accuracy for Segmenting and Labeling Sequence Data?
Proceedings of the 27th International Conference on Computational Linguistics, 2018

2017
Does Higher Order LSTM Have Better Accuracy in Chunking and Named Entity Recognition?
CoRR, 2017

2016
Risk prediction for cardiovascular disease using ECG data in the China kadoorie biobank.
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016


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