Sparse linear representation. - Halyun Jeong; Young-Han Kim 001 (ISIT, 2009)

Convergence of the randomized Kaczmarz method for phase retrieval. - Halyun Jeong; C. Sinan Güntürk (CoRR, 2017)

Are we there yet? Manifold identification of gradient-related proximal methods. - Yifan Sun 001; Halyun Jeong; Julie Nutini; Mark Schmidt 001 (AISTATS, 2019)

Polar Alignment and Atomic Decomposition. - Zhenan Fan; Halyun Jeong; Yifan Sun 001; Michael P. Friedlander (CoRR, 2019)

Sub-Gaussian Matrices on Sets: Optimal Tail Dependence and Applications. - Halyun Jeong; Xiaowei Li 008; Yaniv Plan; Özgür Yilmaz (CoRR, 2020)

Atomic Decomposition via Polar Alignment: The Geometry of Structured Optimization. - Zhenan Fan; Halyun Jeong; Yifan Sun 001; Michael P. Friedlander (Found. Trends Optim., 2020)

NBIHT: An Efficient Algorithm for 1-Bit Compressed Sensing With Optimal Error Decay Rate. - Michael P. Friedlander; Halyun Jeong; Yaniv Plan; Özgür Yilmaz (IEEE Trans. Inf. Theory, 2022)

Polar Deconvolution of Mixed Signals. - Zhenan Fan; Halyun Jeong; Babhru Joshi; Michael P. Friedlander (IEEE Trans. Signal Process., 2022)

Nearly Optimal Bounds for Cyclic Forgetting. - William Swartworth; Deanna Needell; Rachel A. Ward; Mark Kong; Halyun Jeong (NeurIPS, 2023)

Linear Convergence of Reshuffling Kaczmarz Methods With Sparse Constraints. - Halyun Jeong; Deanna Needell (CoRR, 2023)

Stochastic gradient descent for streaming linear and rectified linear systems with Massart noise. - Halyun Jeong; Deanna Needell; Elizaveta Rebrova (CoRR, 2024)

Robust Fourier Neural Networks. - Halyun Jeong; Jihun Han (CoRR, 2024)

Federated Gradient Matching Pursuit. - Halyun Jeong; Deanna Needell; Jing Qin 003 (IEEE Trans. Inf. Theory, 2024)

A federated Kaczmarz algorithm. - Halyun Jeong; Deanna Needell; Chi-Hao Wu 001 (CoRR, 2025)

Beyond Discreteness: Finite-Sample Analysis of Straight-Through Estimator for Quantization. - Halyun Jeong; Jack Xin; Penghang Yin (CoRR, 2025)