default search action
Han 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
— 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
- Han Yu 0005
- Han Yu 0007
- Han Yu 0009 — Tsinghua University, Department of Computer Science and Technology, Beijing, China
- Han Yu 0010
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 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
- [j1]Han Yu
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) - [c11]Kei Shibuya, Zachary D. King, Maryam Khalid
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 - [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
- [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
More to Less (M2L): Enhanced Health Recognition in the Wild with Reduced Modality of Wearable Sensors. EMBC 2022: 3253-3256 - [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
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
- [c5]Han Yu, Thomas Vaessen
Modality Fusion Network and Personalized Attention in Momentary Stress Detection in the Wild. ACII 2021: 1-8 - [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) - 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
2010 – 2019
- 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
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from ,
, and
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and
to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-12-23 19:32 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by: