A coordinate gradient descent method for nonsmooth separable minimization. - Paul Tseng; Sangwoon Yun (Math. Program., 2009)

A coordinate gradient descent method for linearly constrained smooth optimization and support vector machines training. - Paul Tseng; Sangwoon Yun (Comput. Optim. Appl., 2010)

Alternating minimization algorithm for shifted speckle reduction variational model. - Sangwoon Yun; Hyenkyun Woo (IGARSS, 2011)

A coordinate gradient descent method for ℓ1-regularized convex minimization. - Sangwoon Yun; Kim-Chuan Toh (Comput. Optim. Appl., 2011)

A block coordinate gradient descent method for regularized convex separable optimization and covariance selection. - Sangwoon Yun; Paul Tseng; Kim-Chuan Toh (Math. Program., 2011)

Linearized proximal alternating minimization algorithm for motion deblurring by nonlocal regularization. - Sangwoon Yun; Hyenkyun Woo (Pattern Recognit., 2011)

An Accelerated Proximal Gradient Algorithm for Frame-Based Image Restoration via the Balanced Approach. - Zuowei Shen; Kim-Chuan Toh; Sangwoon Yun (SIAM J. Imaging Sci., 2011)

Alternating Minimization Algorithm for Speckle Reduction With a Shifting Technique. - Hyenkyun Woo; Sangwoon Yun (IEEE Trans. Image Process., 2012)

A New Multiplicative Denoising Variational Model Based on $m$th Root Transformation. - Sangwoon Yun; Hyenkyun Woo (IEEE Trans. Image Process., 2012)

Accelerated Bregman Method for Linearly Constrained ℓ1-ℓ2 Minimization. - Myeongmin Kang; Sangwoon Yun; Hyenkyun Woo; Myungjoo Kang (J. Sci. Comput., 2013)

Non-convex hybrid total variation for image denoising. - Seungmi Oh; Hyenkyun Woo; Sangwoon Yun; Myungjoo Kang (J. Vis. Commun. Image Represent., 2013)

Two-Level Convex Relaxed Variational Model for Multiplicative Denoising. - Myungjoo Kang; Sangwoon Yun; Hyenkyun Woo (SIAM J. Imaging Sci., 2013)

Proximal Linearized Alternating Direction Method for Multiplicative Denoising. - Hyenkyun Woo; Sangwoon Yun (SIAM J. Sci. Comput., 2013)

Incrementally Updated Gradient Methods for Constrained and Regularized Optimization. - Paul Tseng; Sangwoon Yun (J. Optim. Theory Appl., 2014)

On the Iteration Complexity of Cyclic Coordinate Gradient Descent Methods. - Sangwoon Yun (SIAM J. Optim., 2014)

SymNMF: nonnegative low-rank approximation of a similarity matrix for graph clustering. - Da Kuang; Sangwoon Yun; Haesun Park (J. Glob. Optim., 2015)

Impedance Imaging With First-Order TV Regularization. - Yoon Mo Jung; Sangwoon Yun (IEEE Trans. Medical Imaging, 2015)

Block Decomposition Methods for Total Variation by Primal-Dual Stitching. - Chang-Ock Lee; Jong Ho Lee; Hyenkyun Woo; Sangwoon Yun (J. Sci. Comput., 2016)

A coordinate descent homotopy method for linearly constrained nonsmooth convex minimization. - Yoon Mo Jung; Sangwoon Yun (Optim. Methods Softw., 2016)

Incremental Gradient Method for Karcher Mean on Symmetric Cones. - Sangho Kum; Sangwoon Yun (J. Optim. Theory Appl., 2017)

A study on the 3D position estimation of ventricular borders extracted from 2D echocardiography data. - Chi Young Ahn; Sangwoon Yun (Comput. Math. Appl., 2018)

A mathematical model for the 3d location estimation of 2D echocardiography data. - Chi Young Ahn; Sangwoon Yun (Appl. Math. Lett., 2019)

Enhanced clustering and ACO-based multiple mobile sinks for efficiency improvement of wireless sensor networks. - Muralitharan Krishnan; Sangwoon Yun; Yoon Mo Jung (Comput. Networks, 2019)

A subspace SQP method for equality constrained optimization. - Jae Hwa Lee; Yoon Mo Jung; Ya-Xiang Yuan; Sangwoon Yun (Comput. Optim. Appl., 2019)

Dynamic clustering approach with ACO-based mobile sink for data collection in WSNs. - Muralitharan Krishnan; Sangwoon Yun; Yoon Mo Jung (Wirel. Networks, 2019)

Sparse probabilistic K-means. - Yoon Mo Jung; Joyce Jiyoung Whang; Sangwoon Yun (Appl. Math. Comput., 2020)

Global attractor and limit points for nonsmooth ADMM. - Yoon Mo Jung; Bomi Shin; Sangwoon Yun (Appl. Math. Lett., 2022)

Runtime WCET Estimation Using Machine Learning. - Sangwoon Yun; Kyungtae Kang (MobiCom, 2023)

Spidermine: Low Overhead User-Level Prefetching. - Jiwoong Won; Sangwoon Yun; Jemin Ahn; Jong-Chan Kim; Kyungtae Kang (SAC, 2023)

Trend filtering by adaptive piecewise polynomials. - Juyoung Jeong; Yoon Mo Jung; Soo Hyun Kim; Sangwoon Yun (Commun. Nonlinear Sci. Numer. Simul., 2023)

A limited-memory trust-region method for nonlinear optimization with many equality constraints. - Jae Hwa Lee; Yoon Mo Jung; Sangwoon Yun (Comput. Appl. Math., 2023)

Hybrid-triggered bipartite leader-following consensus for multi-agent systems with controller gain variations. - Arumugam Parivallal; Yoon Mo Jung; Sangwoon Yun (Commun. Nonlinear Sci. Numer. Simul., 2023)

Hybrid-Triggered Output Feedback Containment Control for Multi-Agent Systems With Missing Measurements. - Arumugam Parivallal; Sangwoon Yun; Yoon Mo Jung (IEEE Trans. Signal Inf. Process. over Networks, 2024)

Containment control of PDE-type T-S fuzzy multi-agent systems via event-triggered scheme. - Arumugam Parivallal; Sangwoon Yun; Yoon Mo Jung (Commun. Nonlinear Sci. Numer. Simul., 2025)

On the linear convergence rate of Riemannian proximal gradient method. - Woocheol Choi; Changbum Chun; Yoon Mo Jung; Sangwoon Yun (Optim. Lett., 2025)