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Han Yu
Han Yu
Plaid Inc.
Подтвержден адрес электронной почты в домене plaid.com
Название
Процитировано
Процитировано
Год
Personalized wellbeing prediction using behavioral, physiological and weather data
H Yu, EB Klerman, RW Picard, A Sano
2019 IEEE EMBS International Conference on Biomedical & Health Informatics …, 2019
522019
Passive sensor data based future mood, health, and stress prediction: User adaptation using deep learning
H Yu, A Sano
2020 42nd Annual International Conference of the IEEE Engineering in …, 2020
342020
Zero-shot ECG diagnosis with large language models and retrieval-augmented generation
H Yu, P Guo, A Sano
Machine Learning for Health (ML4H), 650-663, 2023
322023
Bias reducing multitask learning on mental health prediction
K Zanna, K Sridhar, H Yu, A Sano
2022 10th International Conference on Affective Computing and Intelligent …, 2022
282022
Semi-supervised learning and data augmentation in wearable-based momentary stress detection in the wild
H Yu, A Sano
arXiv preprint arXiv:2202.12935, 2022
202022
Semi-supervised learning for wearable-based momentary stress detection in the wild
H Yu, A Sano
Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous …, 2023
182023
Modality fusion network and personalized attention in momentary stress detection in the wild
H Yu, T Vaessen, I Myin-Germeys, A Sano
2021 9th International Conference on Affective Computing and Intelligent …, 2021
162021
ECG Semantic Integrator (ESI): A Foundation ECG Model Pretrained with LLM-Enhanced Cardiological Text
H Yu, P Guo, A Sano
Transactions on Machine Learning Research (TMLR), 2024
112024
A survey on evaluation of out-of-distribution generalization
H Yu, J Liu, X Zhang, J Wu, P Cui
arXiv preprint arXiv:2403.01874, 2024
92024
More to Less (M2L): Enhanced health recognition in the wild with reduced modality of wearable sensors
H Yang, H Yu, K Sridhar, T Vaessen, I Myin-Germeys, A Sano
2022 44th Annual International Conference of the IEEE Engineering in …, 2022
92022
Forecasting Health and Wellbeing for Shift Workers Using Job-Role Based Deep Neural Network
H Yu, A Itoh, R Sakamoto, M Shimaoka, A Sano
Wireless Mobile Communication and Healthcare: 9th EAI International …, 2021
82021
Toward end-to-end prediction of future wellbeing using deep sensor representation learning
B Li, H Yu, A Sano
2019 8th international conference on affective computing and intelligent …, 2019
82019
Balanced mixed-type tabular data synthesis with diffusion models
Z Yang, H Yu, P Guo, K Zanna, X Yang, A Sano
arXiv preprint arXiv:2404.08254, 2024
72024
Empirical evaluation of data augmentations for biobehavioral time series data with deep learning
H Yang, H Yu, A Sano
arXiv preprint arXiv:2210.06701, 2022
72022
Internet-based individualized cognitive behavioral therapy for shift work sleep disorder empowered by well-being prediction: Protocol for a pilot study
A Ito-Masui, E Kawamoto, R Sakamoto, H Yu, A Sano, E Motomura, ...
JMIR Research Protocols 10 (3), e24799, 2021
62021
Investigating Receptivity and Affect Using Machine Learning: Ecological Momentary Assessment and Wearable Sensing Study
ZD King, H Yu, T Vaessen, I Myin-Germeys, A Sano
JMIR mHealth and uHealth 12 (1), e46347, 2024
52024
Leaves: learning views for time-series data in contrastive learning
H Yu, H Yang, A Sano
arXiv preprint arXiv:2210.07340, 2022
52022
Predicting Stress and Providing Counterfactual Explanations: A Pilot Study on Caregivers
K Shibuya, ZD King, M Khalid, H Yu, Y Shen, K Zanna, RL Brown, M Majd, ...
2023 11th International Conference on Affective Computing and Intelligent …, 2023
32023
Effect of an Internet–Delivered Cognitive Behavioral Therapy–Based Sleep Improvement App for Shift Workers at High Risk of Sleep Disorder: Single-Arm, Nonrandomized Trial
A Ito-Masui, R Sakamoto, E Matsuo, E Kawamoto, E Motomura, H Tanii, ...
Journal of medical Internet research 25, e45834, 2023
32023
Pirl: participant-invariant representation learning for healthcare using maximum mean discrepancy and triplet loss
Z Cao, H Yu, H Yang, A Sano
arXiv preprint arXiv:2302.09126, 2023
32023
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