Haoqi Sun

Orcid: 0000-0002-5041-8312

According to our database1, Haoqi Sun authored at least 29 papers between 2014 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Annotation of Sleep Depth Index with Scalable Deep Learning Yields Novel Digital Biomarkers for Sleep Health.
CoRR, 2024

Contactless Polysomnography: What Radio Waves Tell Us about Sleep.
CoRR, 2024

2023
Brain health scores to predict neurological outcomes from electronic health records.
Int. J. Medical Informatics, December, 2023

Classification of neurologic outcomes from medical notes using natural language processing.
Expert Syst. Appl., 2023

2022
Automated Scoring of Respiratory Events in Sleep With a Single Effort Belt and Deep Neural Networks.
IEEE Trans. Biomed. Eng., 2022

Age estimation from sleep studies using deep learning predicts life expectancy.
npj Digit. Medicine, 2022

How Machine Learning is Powering Neuroimaging to Improve Brain Health.
Neuroinformatics, 2022

Why Interpretable Causal Inference is Important for High-Stakes Decision Making for Critically Ill Patients and How To Do It.
CoRR, 2022

2021
Sleep Apnea and Respiratory Anomaly Detection from a Wearable Band and Oxygen Saturation.
CoRR, 2021

Automated Respiratory Event Detection Using Deep Neural Networks.
CoRR, 2021

Deep Learning Based Anomaly Detection for Muti-dimensional Time Series: A Survey.
Proceedings of the Cyber Security - 18th China Annual Conference, 2021

2020
Adaptive Sedation Monitoring From EEG in ICU Patients With Online Learning.
IEEE Trans. Biomed. Eng., 2020

Natural Language Processing to Detect Cognitive Concerns in Electronic Health Records Using Deep Learning.
CoRR, 2020

A Task Execution Framework Based on Aging Indicator and SARIMI.
Proceedings of the IEEE International Conference on Parallel & Distributed Processing with Applications, 2020

2019
Automated tracking of level of consciousness and delirium in critical illness using deep learning.
npj Digit. Medicine, 2019

Automatic Detection of General Anesthetic-States using ECG-Derived Autonomic Nervous System Features.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

Drug-Specific Models Improve the Performance of an EEG-based Automated Brain-State Prediction System.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

2018
Expert-level sleep scoring with deep neural networks.
J. Am. Medical Informatics Assoc., 2018

HAMLET: Interpretable Human And Machine co-LEarning Technique.
CoRR, 2018

Brain Monitoring of Sedation in the Intensive Care Unit Using a Recurrent Neural Network.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018

A Mean Field Model of Acute Hepatic Encephalopathy.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018

Predicting Ordinal Level of Sedation from the Spectrogram of Electroencephalography.
Proceedings of the 2018 International Conference on Cyberworlds, 2018

You Snooze, You Win: The PhysioNet/Computing in Cardiology Challenge 2018.
Proceedings of the Computing in Cardiology, 2018

2017
SLEEPNET: Automated Sleep Staging System via Deep Learning.
CoRR, 2017

Mobile EEG-based situation awareness recognition for air traffic controllers.
Proceedings of the 2017 IEEE International Conference on Systems, Man, and Cybernetics, 2017

2016
Learning Polychronous Neuronal Groups Using Joint Weight-Delay Spike-Timing-Dependent Plasticity.
Neural Comput., 2016

2015
Runtime detection of activated polychronous neuronal group towards its spatiotemporal analysis.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

Estimating vigilance from EEG using manifold clustering guided by instantaneous lapse rate.
Proceedings of the 10th International Conference on Information, 2015

2014
iPEAP: integrating multiple omics and genetic data for pathway enrichment analysis.
Bioinform., 2014


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