Matrix completion algorithms with optimal phase transition. - Jared Tanner; Ke Wei 001 (EUSIPCO, 2013)

Normalized Iterative Hard Thresholding for Matrix Completion. - Jared Tanner; Ke Wei 001 (SIAM J. Sci. Comput., 2013)

Fast Iterative Hard Thresholding for Compressed Sensing. - Ke Wei 001 (IEEE Signal Process. Lett., 2015)

Conjugate Gradient Iterative Hard Thresholding: Observed Noise Stability for Compressed Sensing. - Jeffrey D. Blanchard; Jared Tanner; Ke Wei 001 (IEEE Trans. Signal Process., 2015)

Fast and Provable Algorithms for Spectrally Sparse Signal Reconstruction via Low-Rank Hankel Matrix Completion. - Jian-Feng Cai 001; Tianming Wang; Ke Wei 001 (CoRR, 2016)

Guarantees of Riemannian Optimization for Low Rank Matrix Recovery. - Ke Wei 001; Jian-Feng Cai 001; Tony F. Chan; Shingyu Leung (SIAM J. Matrix Anal. Appl., 2016)

New region force for variational models in image segmentation and high dimensional data clustering. - Ke Wei 001; Ke Yin; Xue-Cheng Tai; Tony F. Chan (CoRR, 2017)

A Fast Algorithm for the Convolution of Functions with Compact Support Using Fourier Extensions. - Kuan Xu; Anthony P. Austin; Ke Wei 001 (SIAM J. Sci. Comput., 2017)

Exploiting the structure effectively and efficiently in low rank matrix recovery. - Jian-Feng Cai 001; Ke Wei 001 (CoRR, 2018)

Towards the optimal construction of a loss function without spurious local minima for solving quadratic equations. - Zhenzhen Li; Jian-Feng Cai 001; Ke Wei 001 (CoRR, 2018)

Spectral Compressed Sensing via Projected Gradient Descent. - Jian-Feng Cai 001; Tianming Wang; Ke Wei 001 (SIAM J. Optim., 2018)

Exact matrix completion based on low rank Hankel structure in the Fourier domain. - Jinchi Chen; Weiguo Gao; Ke Wei 001 (CoRR, 2019)

Off-the-Grid Compressed Sensing MRI Reconstruction via Data Driven Tight Frame Regularization. - Jian-Feng Cai 001; Jae Kyu Choi; Ke Wei 001 (CoRR, 2019)

Accelerated Alternating Projections for Robust Principal Component Analysis. - HanQin Cai; Jian-Feng Cai 001; Ke Wei 001 (J. Mach. Learn. Res., 2019)

Image Restoration: Structured Low Rank Matrix Framework for Piecewise Smooth Functions and Beyond. - Jian-Feng Cai 001; Jae Kyu Choi; Jingyang Li; Ke Wei 001 (CoRR, 2020)

Data Driven Tight Frame for Compressed Sensing MRI Reconstruction via Off-the-Grid Regularization. - Jian-Feng Cai 001; Jae Kyu Choi; Ke Wei 001 (SIAM J. Imaging Sci., 2020)

Toward the Optimal Construction of a Loss Function Without Spurious Local Minima for Solving Quadratic Equations. - Zhenzhen Li; Jian-Feng Cai 001; Ke Wei 001 (IEEE Trans. Inf. Theory, 2020)

Fast Cadzow's Algorithm and a Gradient Variant. - Haifeng Wang; Jian-Feng Cai 001; Tianming Wang; Ke Wei 001 (J. Sci. Comput., 2021)

Approximation Theory of Total Variation Minimization for Data Completion. - Jian-Feng Cai 001; Jae Kyu Choi; Ke Wei 001 (CoRR, 2022)

Vectorized Hankel Lift: A Convex Approach for Blind Super-Resolution of Point Sources. - Jinchi Chen; Weiguo Gao; Sihan Mao; Ke Wei 001 (IEEE Trans. Inf. Theory, 2022)

On the Linear Convergence of Policy Gradient under Hadamard Parameterization. - Jiacai Liu; Jinchi Chen; Ke Wei 001 (CoRR, 2023)

Implicit Regularization and Entrywise Convergence of Riemannian Optimization for Low Tucker-Rank Tensor Completion. - Haifeng Wang; Jinchi Chen; Ke Wei 001 (J. Mach. Learn. Res., 2023)

Leave-One-Out Analysis for Nonconvex Robust Matrix Completion with General Thresholding Functions. - Tianming Wang; Ke Wei 001 (CoRR, 2024)

Decentralized Natural Policy Gradient with Variance Reduction for Collaborative Multi-Agent Reinforcement Learning. - Jinchi Chen; Jie Feng; Weiguo Gao; Ke Wei 001 (J. Mach. Learn. Res., 2024)

Global Convergence of Natural Policy Gradient with Hessian-Aided Momentum Variance Reduction. - Jie Feng; Ke Wei 001; Jinchi Chen (J. Sci. Comput., 2024)