Toward End-to-end Prediction of Future Wellbeing using Deep Sensor Representation Learning. - Boning Li; Han Yu 008; Akane Sano (ACII Workshops, 2019)

Personalized Wellbeing Prediction using Behavioral, Physiological and Weather Data. - Han Yu 008; Elizabeth B. Klerman; Rosalind W. Picard; Akane Sano (BHI, 2019)

Passive Sensor Data Based Future Mood, Health, and Stress Prediction: User Adaptation Using Deep Learning. - Han Yu 008; Akane Sano (EMBC, 2020)

Forecasting Health and Wellbeing for Shift Workers Using Job-Role Based Deep Neural Network. - Han Yu 008; Asami Itoh; Ryota Sakamoto; Motomu Shimaoka; Akane Sano (MobiHealth, 2020)

Modality Fusion Network and Personalized Attention in Momentary Stress Detection in the Wild. - Han Yu 008; Thomas Vaessen; Inez Myin-Germeys; Akane Sano (ACII, 2021)

Bias Reducing Multitask Learning on Mental Health Prediction. - Khadija Zanna; Kusha Sridhar; Han Yu 008; Akane Sano (ACII, 2022)

More to Less (M2L): Enhanced Health Recognition in the Wild with Reduced Modality of Wearable Sensors. - Huiyuan Yang; Han Yu 008; Kusha Sridhar; Thomas Vaessen; Inez Myin-Germeys; Akane Sano (EMBC, 2022)

Semi-Supervised Learning and Data Augmentation in Wearable-based Momentary Stress Detection in the Wild. - Han Yu 008; Akane Sano (CoRR, 2022)

Empirical Evaluation of Data Augmentations for Biobehavioral Time Series Data with Deep Learning. - Huiyuan Yang; Han Yu 008; Akane Sano (CoRR, 2022)

LEAVES: Learning Views for Time-Series Data in Contrastive Learning. - Han Yu 008; Huiyuan Yang; Akane Sano (CoRR, 2022)

PiRL: Participant-Invariant Representation Learning for Healthcare. - Zhaoyang Cao; Han Yu 008; Huiyuan Yang; Akane Sano (CoRR, 2022)

Predicting Stress and Providing Counterfactual Explanations: A Pilot Study on Caregivers. - Kei Shibuya; Zachary D. King; Maryam Khalid; Han Yu 008; Yufei Shen; Khadija Zanna; Ryan L. Brown; Marzieh Majd; Christopher P. Fagundes; Akane Sano (ACIIW, 2023)

Empowering Wearable Seizure Forecasting with Scheduled Sampling. - Peikun Guo; Han Yu 008; Sruthi Gopinath Karicheri; Allen Kuncheria; Huiyuan Yang; Siena Blackwell; Zulfi Haneef; Akane Sano (BHI, 2023)

Burnout Prediction and Analysis in Shift Workers: Counterfactual Explanation Approach. - Ziang Tang; Zachary King; Alicia Choto Segovia; Han Yu 008; Gia Braddock; Asami Ito; Ryota Sakamoto; Motomu Shimaoka; Akane Sano (BHI, 2023)

Zero-Shot ECG Diagnosis with Large Language Models and Retrieval-Augmented Generation. - Han Yu 008; Peikun Guo; Akane Sano (ML4H@NeurIPS, 2023)

Towards the Understanding of Receptivity and Affect in EMAs using Physiological based Machine Learning Method: Analysis of Receptivity and Affect. - Zachary D. King; Han Yu 008; Thomas Vaessen; Inez Myin-Germeys; Akane Sano (CoRR, 2023)

ECG-SL: Electrocardiogram(ECG) Segment Learning, a deep learning method for ECG signal. - Han Yu 008; Huiyuan Yang; Akane Sano (CoRR, 2023)

Semi-Supervised Learning for Wearable-based Momentary Stress Detection in the Wild. - Han Yu 008; Akane Sano (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2023)

ECG Semantic Integrator (ESI): A Foundation ECG Model Pretrained with LLM-Enhanced Cardiological Text. - Han Yu 008; Peikun Guo; Akane Sano (Trans. Mach. Learn. Res., 2024)

AdaWaveNet: Adaptive Wavelet Network for Time Series Analysis. - Han Yu 008; Peikun Guo; Akane Sano (Trans. Mach. Learn. Res., 2024)

Contrastive Pretraining for Stress Detection with Multimodal Wearable Sensor Data and Surveys. - Zeyu Yang; Han Yu 008; Akane Sano (CHIL, 2025)

Balanced Mixed-Type Tabular Data Synthesis with Diffusion Models. - Zeyu Yang; Han Yu 008; Peikun Guo; Khadija Zanna; Xiaoxue Yang; Akane Sano (Trans. Mach. Learn. Res., 2025)

Machine Learning-based Context-Aware EMAs: An Offline Feasibility Study. - Zachary D. King; Maryam Khalid; Han Yu 008; Kei Shibuya; Khadija Zanna; Marzieh Majd; Ryan L. Brown; Yufei Shen; Thomas Vaessen; George Kypriotakis; Christopher P. Fagundes; Akane Sano (CoRR, 2025)