Oliver Y. Chén

Orcid: 0000-0002-5696-3127

According to our database1, Oliver Y. Chén authored at least 27 papers between 2018 and 2023.

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

2023
The roles, challenges, and merits of the p value.
Patterns, December, 2023

L-SeqSleepNet: Whole-cycle Long Sequence Modeling for Automatic Sleep Staging.
IEEE J. Biomed. Health Informatics, October, 2023

Personalized Longitudinal Assessment of Multiple Sclerosis Using Smartphones.
IEEE J. Biomed. Health Informatics, July, 2023

L-SeqSleepNet: Whole-cycle Long Sequence Modelling for Automatic Sleep Staging.
CoRR, 2023


Improving Automatic Sleep Staging Via Temporal Smoothness Regularization.
Proceedings of the IEEE International Conference on Acoustics, 2023

2022
SleepTransformer: Automatic Sleep Staging With Interpretability and Uncertainty Quantification.
IEEE Trans. Biomed. Eng., 2022

XSleepNet: Multi-View Sequential Model for Automatic Sleep Staging.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

Uniting Machine Intelligence, Brain and Behavioural Sciences to Assist Criminal Justice.
CoRR, 2022

2021
Towards More Accurate Automatic Sleep Staging via Deep Transfer Learning.
IEEE Trans. Biomed. Eng., 2021

Identifying neural signatures mediating behavioral symptoms and psychosis onset: High-dimensional whole brain functional mediation analysis.
NeuroImage, 2021

Personalized Health Care and Public Health in the Digital Age.
Frontiers Digit. Health, 2021

Multi-View Audio And Music Classification.
Proceedings of the IEEE International Conference on Acoustics, 2021

Self-Attention Generative Adversarial Network for Speech Enhancement.
Proceedings of the IEEE International Conference on Acoustics, 2021

2020
Building a Machine-Learning Framework to Remotely Assess Parkinson's Disease Using Smartphones.
IEEE Trans. Biomed. Eng., 2020

Improving GANs for Speech Enhancement.
IEEE Signal Process. Lett., 2020

XSleepNet: Multi-View Sequential Model for Automatic Sleep Staging.
CoRR, 2020

Personalized Automatic Sleep Staging with Single-Night Data: a Pilot Study with KL-Divergence Regularization.
CoRR, 2020

2019
Joint Classification and Prediction CNN Framework for Automatic Sleep Stage Classification.
IEEE Trans. Biomed. Eng., 2019

Spatio-Temporal Attention Pooling for Audio Scene Classification.
Proceedings of the Interspeech 2019, 2019

Unifying Isolated and Overlapping Audio Event Detection with Multi-label Multi-task Convolutional Recurrent Neural Networks.
Proceedings of the IEEE International Conference on Acoustics, 2019

Deep Transfer Learning for Single-Channel Automatic Sleep Staging with Channel Mismatch.
Proceedings of the 27th European Signal Processing Conference, 2019

Fusion of End-to-End Deep Learning Models for Sequence-to-Sequence Sleep Staging.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

2018
Beyond Equal-Length Snippets: How Long is Sufficient to Recognize an Audio Scene?
CoRR, 2018

SeqSleepNet: End-to-End Hierarchical Recurrent Neural Network for Sequence-to-Sequence Automatic Sleep Staging.
CoRR, 2018

Automatic Sleep Stage Classification Using Single-Channel EEG: Learning Sequential Features with Attention-Based Recurrent Neural Networks.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018

DNN Filter Bank Improves 1-Max Pooling CNN for Single-Channel EEG Automatic Sleep Stage Classification.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018


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