Yuejie Chi

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Robust Spectral Compressed Sensing via Structured Matrix Completion

Yuxin Chen, Yuejie Chi
IEEE Transactions on Information Theory
2014

This paper explores the problem of spectral compressed sensing, which aims to recover a spectrally sparse signal from a small random subset of its n time domain samples. The signal of interest is… (More)

Exact and Stable Covariance Estimation From Quadratic Sampling via Convex Programming

Yuxin Chen, Yuejie Chi, Andrea J. Goldsmith
IEEE Transactions on Information Theory
2015

Statistical inference and information processing of high-dimensional data often require an efficient and accurate estimation of their second-order statistics. With rapidly changing data, limited… (More)

Sensitivity to Basis Mismatch in Compressed Sensing

Yuejie Chi, Ali Pezeshki, Louis L. Scharf, A. Robert Calderbank
IEEE Transactions on Signal Processing
2010

The theory of compressed sensing suggests that successful inversion of an image of the physical world (broadly defined to include speech signals, radar/sonar returns, vibration records, sensor array… (More)

Off-the-Grid Line Spectrum Denoising and Estimation With Multiple Measurement Vectors

Yuanxin Li, Yuejie Chi
IEEE Transactions on Signal Processing
2016

Compressed Sensing suggests that the required number of samples for reconstructing a signal can be greatly reduced if it is sparse in a known discrete basis, yet many real-world signals are sparse in… (More)

PETRELS: Parallel Subspace Estimation and Tracking by Recursive Least Squares From Partial Observations

Yuejie Chi, Yonina C. Eldar, A. Robert Calderbank
IEEE Transactions on Signal Processing
2013

Many real world datasets exhibit an embedding of low-dimensional structure in a high-dimensional manifold. Examples include images, videos and internet traffic data. It is of great significance to… (More)

Guaranteed Blind Sparse Spikes Deconvolution via Lifting and Convex Optimization

Yuejie Chi
IEEE Journal of Selected Topics in Signal…
2016

Neural recordings, returns from radars and sonars, images in astronomy and single-molecule microscopy can be modeled as a linear superposition of a small number of scaled and delayed copies of a… (More)

PETRELS: Subspace estimation and tracking from partial observations

Yuejie Chi, Yonina C. Eldar, A. Robert Calderbank
2012 IEEE International Conference on Acoustics…
2012

We consider the problem of reconstructing a data stream from a small subset of its entries, where the data stream is assumed to lie in a low-dimensional linear subspace, possibly corrupted by noise.… (More)

Provable Non-convex Phase Retrieval with Outliers: Median TruncatedWirtinger Flow

Huishuai Zhang, Yuejie Chi, Yingbin Liang
ICML
2016

Solving systems of quadratic equations is a central problem in machine learning and signal processing. One important example is phase retrieval, which aims to recover a signal from only magnitudes of… (More)

Connecting the dots in multi-class classification: From nearest subspace to collaborative representation

Yuejie Chi, Fatih Murat Porikli
2012 IEEE Conference on Computer Vision and…
2012

We present a novel multi-class classifier that strikes a balance between the nearest-subspace classifier, which assigns a test sample to the class that minimizes the distance between the test sample… (More)

Compressive Two-Dimensional Harmonic Retrieval via Atomic Norm Minimization

Yuejie Chi, Yuxin Chen
IEEE Transactions on Signal Processing
2015

This paper is concerned with estimation of two-dimensional (2-D) frequencies from partial time samples, which arises in many applications such as radar, inverse scattering, and super-resolution… (More)

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