20 citations · 21 across the 4 of their papers we have counts for
4 papers
Generalized Robust Adaptive-Bandwidth Multi-View Manifold Learning in High Dimensions with Noise
Xiucai Ding, Chao Shen, Hau-Tieng Wu
Multiview datasets are common in scientific and engineering applications, yet existing fusion methods offer limited theoretical guarantees, particularly in the presence of heteroge…
Scalability and robustness of spectral embedding: landmark diffusion is all you need
Chao Shen, Hau-Tieng Wu
While spectral embedding is a widely applied dimension reduction technique in various fields, so far it is still challenging to make it scalable to handle ``big data''. On the othe…
Can a composite heart rate variability biomarker shed new insights about autism spectrum disorder in school-aged children?
Martin G Frasch, Chao Shen, Hau-Tieng Wu +5
High-frequency heart rate variability (HRV) has identified parasympathetic nervous system alterations in autism spectrum disorder (ASD). In a cohort of school-aged children with an…
Connecting Dots -- from Local Covariance to Empirical Intrinsic Geometry and Locally Linear Embedding
John Malik, Chao Shen, Hau-Tieng Wu +1
Local covariance structure under the manifold setup has been widely applied in the machine learning society. Based on the established theoretical results, we provide an extensive s…