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20212025
most citedSemi-Supervised Learning and Data Augmentation in Wearable-based Momentary Stress Detection in the Wild

6 citations · 24 across the 12 of their papers we have counts for

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7 papers · 1 filter

cs.LG2024★ 3 cited

AdaWaveNet: Adaptive Wavelet Network for Time Series Analysis

Han Yu, Peikun Guo, Akane Sano

Time series data analysis is a critical component in various domains such as finance, healthcare, and meteorology. Despite the progress in deep learning for time series analysis, t…

cs.LG2024★ 1 cited

Balanced Mixed-Type Tabular Data Synthesis with Diffusion Models

Zeyu Yang, Han Yu, Peikun Guo +3

Diffusion models have emerged as a robust framework for various generative tasks, including tabular data synthesis. However, current tabular diffusion models tend to inherit bias i…

cs.LG2023★ 1 cited

ECG-SL: Electrocardiogram(ECG) Segment Learning, a deep learning method for ECG signal

Han Yu, Huiyuan Yang, Akane Sano

Electrocardiogram (ECG) is an essential signal in monitoring human heart activities. Researchers have achieved promising results in leveraging ECGs in clinical applications with de…

cs.LG2022

PiRL: Participant-Invariant Representation Learning for Healthcare

Zhaoyang Cao, Han Yu, Huiyuan Yang +1

Due to individual heterogeneity, performance gaps are observed between generic (one-size-fits-all) models and person-specific models in data-driven health applications. However, in…

cs.LG2022★ 2 cited

Empirical Evaluation of Data Augmentations for Biobehavioral Time Series Data with Deep Learning

Huiyuan Yang, Han Yu, Akane Sano

Deep learning has performed remarkably well on many tasks recently. However, the superior performance of deep models relies heavily on the availability of a large number of trainin…

cs.LG2022

More to Less (M2L): Enhanced Health Recognition in the Wild with Reduced Modality of Wearable Sensors

Huiyuan Yang, Han Yu, Kusha Sridhar +3

Accurately recognizing health-related conditions from wearable data is crucial for improved healthcare outcomes. To improve the recognition accuracy, various approaches have focuse…