Han Yu
Orcid: 0000-0003-1944-4173Affiliations:
- Rice University, Department of Electrical and Computer Engineering, Houston, TX, USA
According to our database1,
Han Yu
authored at least 18 papers
between 2019 and 2023.
Collaborative distances:
Collaborative distances:
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Bibliography
2023
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2023
ECG-SL: Electrocardiogram(ECG) Segment Learning, a deep learning method for ECG signal.
CoRR, 2023
Towards the Understanding of Receptivity and Affect in EMAs using Physiological based Machine Learning Method: Analysis of Receptivity and Affect.
CoRR, 2023
Zero-Shot ECG Diagnosis with Large Language Models and Retrieval-Augmented Generation.
Proceedings of the Machine Learning for Health, 2023
Burnout Prediction and Analysis in Shift Workers: Counterfactual Explanation Approach.
Proceedings of the IEEE EMBS International Conference on Biomedical and Health Informatics, 2023
Proceedings of the IEEE EMBS International Conference on Biomedical and Health Informatics, 2023
Predicting Stress and Providing Counterfactual Explanations: A Pilot Study on Caregivers.
Proceedings of the 11th International Conference on Affective Computing and Intelligent Interaction, ACII 2023, 2023
2022
Empirical Evaluation of Data Augmentations for Biobehavioral Time Series Data with Deep Learning.
CoRR, 2022
Semi-Supervised Learning and Data Augmentation in Wearable-based Momentary Stress Detection in the Wild.
CoRR, 2022
More to Less (M2L): Enhanced Health Recognition in the Wild with Reduced Modality of Wearable Sensors.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022
Proceedings of the 10th International Conference on Affective Computing and Intelligent Interaction, 2022
2021
Modality Fusion Network and Personalized Attention in Momentary Stress Detection in the Wild.
Proceedings of the 9th International Conference on Affective Computing and Intelligent Interaction, 2021
2020
Forecasting Health and Wellbeing for Shift Workers Using Job-Role Based Deep Neural Network.
Proceedings of the Wireless Mobile Communication and Healthcare, 2020
Passive Sensor Data Based Future Mood, Health, and Stress Prediction: User Adaptation Using Deep Learning.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020
2019
Proceedings of the 2019 IEEE EMBS International Conference on Biomedical & Health Informatics, 2019
Toward End-to-end Prediction of Future Wellbeing using Deep Sensor Representation Learning.
Proceedings of the 8th International Conference on Affective Computing and Intelligent Interaction Workshops and Demos, 2019