activity
20142021
most citedConnection graph Laplacian methods can be made robust to noise

23 citations · 32 across the 7 of their papers we have counts for

collaborators

14 papers

cs.LG2024

Sleep Staging from Airflow Signals Using Fourier Approximations of Persistence Curves

Shashank Manjunath, Hau-Tieng Wu, Aarti Sathyanarayana

Sleep staging is a challenging task, typically manually performed by sleep technologists based on electroencephalogram and other biosignals of patients taken during overnight sleep…

cs.LG2024

Landmark Alternating Diffusion

Sing-Yuan Yeh, Hau-Tieng Wu, Ronen Talmon +1

Alternating Diffusion (AD) is a commonly applied diffusion-based sensor fusion algorithm. While it has been successfully applied to various problems, its computational burden remai…

stat.ML20241 cited

Convergence analysis of t-SNE as a gradient flow for point cloud on a manifold

Seonghyeon Jeong, Hau-Tieng Wu

We present a theoretical foundation regarding the boundedness of the t-SNE algorithm. t-SNE employs gradient descent iteration with Kullback-Leibler (KL) divergence as the objectiv…

stat.ML2024

Design a Metric Robust to Complicated High Dimensional Noise for Efficient Manifold Denoising

Hau-Tieng Wu

In this manuscript, we propose an efficient manifold denoiser based on landmark diffusion and optimal shrinkage under the complicated high dimensional noise and compact manifold se…

q-bio.NC2023

Unveil Sleep Spindles with Concentration of Frequency and Time

Riki Shimizu, Hau-Tieng Wu

Objective: Sleep spindles contain crucial brain dynamics information. We introduce the novel non-linear time-frequency analysis tool 'Concentration of Frequency and Time' (ConceFT)…

eess.SP2023

Enhancing Missing Data Imputation of Non-stationary Signals with Harmonic Decomposition

Joaquin Ruiz, Hau-tieng Wu, Marcelo A. Colominas

Dealing with time series with missing values, including those afflicted by low quality or over-saturation, presents a significant signal processing challenge. The task of recoverin…