4 citations · 8 across the 4 of their papers we have counts for
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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
Empirical Study of Mix-based Data Augmentation Methods in Physiological Time Series Data
Peikun Guo, Huiyuan Yang, Akane Sano
Data augmentation is a common practice to help generalization in the procedure of deep model training. In the context of physiological time series classification, previous research…