461 citations · 1.3k across the 29 of their papers we have counts for
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A Sparse Bayesian Estimation Framework for Conditioning Prior Geologic Models to Nonlinear Flow Measurements
Lianlin Li, Behnam Jafarpour
We present a Bayesian framework for reconstruction of subsurface hydraulic properties from nonlinear dynamic flow data by imposing sparsity on the distribution of the solution coef…
An Iteratively Reweighted Algorithm for Sparse Reconstruction of Subsurface Flow Properties from Nonlinear Dynamic Data
Lianlin Li, B. Jafarpour
In this paper, we present a practical algorithm based on sparsity regularization to effectively solve nonlinear dynamic inverse problems that are encountered in subsurface model ca…
Novel Algorithm for Sparse Solutions to Linear Inverse Problems with Multiple Measurements
Lianlin Li, Fang Li
In this report, a novel efficient algorithm for recovery of jointly sparse signals (sparse matrix) from multiple incomplete measurements has been presented, in particular, the NEST…
Compressive Diffraction Tomography for Weakly Scattering
Lianlin Li, Wenji Zhang, Fang Li
An appealing requirement from the well-known diffraction tomography (DT) exists for success reconstruction from few-view and limited-angle data. Inspired by the well-known compress…
A Novel Algorithm for Compressive Sensing: Iteratively Reweighed Operator Algorithm (IROA)
Lianlin Li, Fang Li
Compressive sensing claims that the sparse signals can be reconstructed exactly from many fewer measurements than traditionally believed necessary. One of issues ensuring the succe…