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ORCIDHan Yu 0008
Person information
- affiliation: Rice University, Department of Electrical and Computer Engineering, Houston, TX, USA
Other persons with the same name
- Han Yu — disambiguation page
- Han Yu 0001
![[0000-0001-6893-8650]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0001-6893-8650")
— Nanyang Technological University, School of Computer Science and Engineering, Joint NTU-UBC Research Centre of Excellence in Active Living for the Elderly, Singapore - Han Yu 0002 — General Electric Global Research Center, Niskayuna, NY, USA (and 1 more)
- Han Yu 0003 — University of Central Florida, School of Computer Science, Orlando, FL, USA
- Han Yu 0004 — Zhongnan University of Economics and Law, School of Information and Safety Engineering, Wuhan, China
- Han Yu 0005 — Shanghai Jiao Tong University, China
- Han Yu 0007 — University at Buffalo, New York, USA
- Han Yu 0009 — Tsinghua University, Department of Computer Science and Technology, Beijing, China
- Han Yu 0010 — Chalmers University of Technology, Gothenburg, Sweden (and 1 more)
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Journal Articles
- 2023
[j1]Han Yu, Akane Sano:
Semi-Supervised Learning for Wearable-based Momentary Stress Detection in the Wild. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 7(2): 80:1-80:23 (2023)
Conference and Workshop Papers
- 2023
- [c11]Kei Shibuya, Zachary D. King, Maryam Khalid, Han Yu, Yufei Shen, Khadija Zanna, Ryan L. Brown, Marzieh Majd, Christopher P. Fagundes, Akane Sano:
Predicting Stress and Providing Counterfactual Explanations: A Pilot Study on Caregivers. ACIIW 2023: 1-4 - [c10]Peikun Guo, Han Yu, Sruthi Gopinath Karicheri, Allen Kuncheria, Huiyuan Yang, Siena Blackwell, Zulfi Haneef, Akane Sano:
Empowering Wearable Seizure Forecasting with Scheduled Sampling. BHI 2023: 1-4 - [c9]Ziang Tang, Zachary King, Alicia Choto Segovia, Han Yu, Gia Braddock, Asami Ito, Ryota Sakamoto, Motomu Shimaoka, Akane Sano:
Burnout Prediction and Analysis in Shift Workers: Counterfactual Explanation Approach. BHI 2023: 1-4 - [c8]Han Yu, Peikun Guo, Akane Sano:
Zero-Shot ECG Diagnosis with Large Language Models and Retrieval-Augmented Generation. ML4H@NeurIPS 2023: 650-663 - 2022
- [c7]Khadija Zanna, Kusha Sridhar, Han Yu, Akane Sano:
Bias Reducing Multitask Learning on Mental Health Prediction. ACII 2022: 1-8 - [c6]Huiyuan Yang, Han Yu, Kusha Sridhar, Thomas Vaessen, Inez Myin-Germeys, Akane Sano:
More to Less (M2L): Enhanced Health Recognition in the Wild with Reduced Modality of Wearable Sensors. EMBC 2022: 3253-3256 - 2021
- [c5]Han Yu, Thomas Vaessen, Inez Myin-Germeys, Akane Sano:
Modality Fusion Network and Personalized Attention in Momentary Stress Detection in the Wild. ACII 2021: 1-8 - 2020
- [c4]Han Yu, Akane Sano:
Passive Sensor Data Based Future Mood, Health, and Stress Prediction: User Adaptation Using Deep Learning. EMBC 2020: 5884-5887 - [c3]Han Yu, Asami Itoh, Ryota Sakamoto, Motomu Shimaoka, Akane Sano:
Forecasting Health and Wellbeing for Shift Workers Using Job-Role Based Deep Neural Network. MobiHealth 2020: 89-103 - 2019
- [c2]Boning Li, Han Yu, Akane Sano:
Toward End-to-end Prediction of Future Wellbeing using Deep Sensor Representation Learning. ACII Workshops 2019: 253-257 - [c1]Han Yu, Elizabeth B. Klerman, Rosalind W. Picard, Akane Sano:
Personalized Wellbeing Prediction using Behavioral, Physiological and Weather Data. BHI 2019: 1-4
Informal and Other Publications
- 2024
- [i12]Han Yu, Peikun Guo, Akane Sano:
AdaWaveNet: Adaptive Wavelet Network for Time Series Analysis. CoRR abs/2405.11124 (2024) - [i11]Han Yu, Peikun Guo, Akane Sano:
ECG Semantic Integrator (ESI): A Foundation ECG Model Pretrained with LLM-Enhanced Cardiological Text. CoRR abs/2405.19366 (2024) - 2023
- [i10]Zachary D. King, Han Yu, Thomas Vaessen, Inez Myin-Germeys, Akane Sano:
Towards the Understanding of Receptivity and Affect in EMAs using Physiological based Machine Learning Method: Analysis of Receptivity and Affect. CoRR abs/2303.09077 (2023) - [i9]Han Yu, Huiyuan Yang, Akane Sano:
ECG-SL: Electrocardiogram(ECG) Segment Learning, a deep learning method for ECG signal. CoRR abs/2310.00818 (2023) - 2022
- [i8]Huiyuan Yang, Han Yu, Kusha Sridhar, Thomas Vaessen, Inez Myin-Germeys, Akane Sano:
More to Less (M2L): Enhanced Health Recognition in the Wild with Reduced Modality of Wearable Sensors. CoRR abs/2202.08267 (2022) - [i7]Han Yu, Akane Sano:
Semi-Supervised Learning and Data Augmentation in Wearable-based Momentary Stress Detection in the Wild. CoRR abs/2202.12935 (2022) - [i6]Khadija Zanna, Kusha Sridhar, Han Yu, Akane Sano:
Bias Reducing Multitask Learning on Mental Health Prediction. CoRR abs/2208.03621 (2022) - [i5]Huiyuan Yang, Han Yu, Akane Sano:
Empirical Evaluation of Data Augmentations for Biobehavioral Time Series Data with Deep Learning. CoRR abs/2210.06701 (2022) - [i4]Han Yu, Huiyuan Yang, Akane Sano:
LEAVES: Learning Views for Time-Series Data in Contrastive Learning. CoRR abs/2210.07340 (2022) - [i3]Zhaoyang Cao, Han Yu, Huiyuan Yang, Akane Sano:
PiRL: Participant-Invariant Representation Learning for Healthcare. CoRR abs/2211.12422 (2022) - 2021
- [i2]Han Yu, Asami Itoh, Ryota Sakamoto, Motomu Shimaoka, Akane Sano:
Forecasting Health and Wellbeing for Shift Workers Using Job-role Based Deep Neural Network. CoRR abs/2106.12081 (2021) - [i1]Han Yu, Thomas Vaessen, Inez Myin-Germeys, Akane Sano:
Modality Fusion Network and Personalized Attention in Momentary Stress Detection in the Wild. CoRR abs/2107.09510 (2021)
Coauthor Index
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