L
Lihan He
Researcher at Duke University
Publications - 5
Citations - 1002
Lihan He is an academic researcher from Duke University. The author has contributed to research in topics: Bayesian probability & Markov chain Monte Carlo. The author has an hindex of 5, co-authored 5 publications receiving 954 citations.
Papers
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Journal ArticleDOI
Exploiting Structure in Wavelet-Based Bayesian Compressive Sensing
Lihan He,Lawrence Carin +1 more
TL;DR: A hierarchical Bayesian model is constituted, with efficient inference via Markov chain Monte Carlo (MCMC) sampling, with performance comparisons to many state-of-the-art compressive-sensing inversion algorithms.
Journal ArticleDOI
Bayesian Robust Principal Component Analysis
TL;DR: The Bayesian framework infers an approximate representation for the noise statistics while simultaneously inferring the low-rank and sparse-outlier contributions; the model is robust to a broad range of noise levels, without having to change model hyperparameter settings.
Journal ArticleDOI
Tree-Structured Compressive Sensing With Variational Bayesian Analysis
TL;DR: A hierarchical statistical model applicable to both wavelet and JPEG-based DCT bases is developed, in which the tree structure in the sparseness pattern is exploited explicitly.
Proceedings ArticleDOI
Airport detection in large aerial optical imagery
TL;DR: A method to detect airports in large aerial optical imagery by combining texture segmentation and shape detection, which shows advantages in analyzing large aerial imagery.
Journal ArticleDOI
Nonparametric Bayesian Segmentation of a Multivariate Inhomogeneous Space-Time Poisson Process.
TL;DR: A nonparametric Bayesian model is proposed for segmenting time-evolving multivariate spatial point process data, and two different inference techniques are considered: a Markov chain Monte Carlo sampler, which has relatively high computational complexity; and an approximate and efficient variational Bayesian analysis.