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20122023
most citedNonconvex Optimization Meets Low-Rank Matrix Factorization: An Overview

378 citations · 2.2k across the 69 of their papers we have counts for

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eess.SP2021★ 68 cited

A Large Collection of Real-world Pediatric Sleep Studies

Harlin Lee, Boyue Li, Shelly DeForte +4

Despite being crucial to health and quality of life, sleep -- especially pediatric sleep -- is not yet well understood. This is exacerbated by lack of access to sufficient pediatri…

eess.SP2021★ 29 cited

Beyond Procrustes: Balancing-Free Gradient Descent for Asymmetric Low-Rank Matrix Sensing

Cong Ma, Yuanxin Li, Yuejie Chi

Low-rank matrix estimation plays a central role in various applications across science and engineering. Recently, nonconvex formulations based on matrix factorization are provably…

eess.SP2019★ 36 cited

Vector-Valued Graph Trend Filtering with Non-Convex Penalties

Rohan Varma, Harlin Lee, Jelena Kovačević +1

This work studies the denoising of piecewise smooth graph signals that exhibit inhomogeneous levels of smoothness over a graph, where the value at each node can be vector-valued. W…

eess.SP2019★ 149 cited

Harnessing Sparsity over the Continuum: Atomic Norm Minimization for Super Resolution

Yuejie Chi, Maxime Ferreira Da Costa

Convex optimization recently emerges as a compelling framework for performing super resolution, garnering significant attention from multiple communities spanning signal processing…

eess.SP2017★ 50 cited

Quantized Spectral Compressed Sensing: Cramer-Rao Bounds and Recovery Algorithms

Haoyu Fu, Yuejie Chi

Efficient estimation of wideband spectrum is of great importance for applications such as cognitive radio. Recently, sub-Nyquist sampling schemes based on compressed sensing have b…