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2020 – today
- 2024
[j30]Arumugam Parivallal
, Sangwoon Yun, Yoon Mo Jung:
Hybrid-Triggered Output Feedback Containment Control for Multi-Agent Systems With Missing Measurements. IEEE Trans. Signal Inf. Process. over Networks 10: 108-118 (2024)- 2023
- [j29]Jae Hwa Lee, Yoon Mo Jung, Sangwoon Yun:
A limited-memory trust-region method for nonlinear optimization with many equality constraints. Comput. Appl. Math. 42(3) (2023) - [j28]Juyoung Jeong, Yoon Mo Jung, Soo Hyun Kim, Sangwoon Yun:
Trend filtering by adaptive piecewise polynomials. Commun. Nonlinear Sci. Numer. Simul. 116: 106866 (2023) - [j27]Arumugam Parivallal, Yoon Mo Jung, Sangwoon Yun:
Hybrid-triggered bipartite leader-following consensus for multi-agent systems with controller gain variations. Commun. Nonlinear Sci. Numer. Simul. 126: 107455 (2023) - [c3]Sangwoon Yun, Kyungtae Kang:
Runtime WCET Estimation Using Machine Learning. MobiCom 2023: 133:1-133:3 - [c2]Jiwoong Won, Sangwoon Yun, Jemin Ahn, Jong-Chan Kim, Kyungtae Kang:
Spidermine: Low Overhead User-Level Prefetching. SAC 2023: 1332-1341 - 2022
- [j26]Yoon Mo Jung, Bomi Shin, Sangwoon Yun:
Global attractor and limit points for nonsmooth ADMM. Appl. Math. Lett. 128: 107890 (2022) - 2020
- [j25]Yoon Mo Jung, Joyce Jiyoung Whang, Sangwoon Yun:
Sparse probabilistic K-means. Appl. Math. Comput. 382: 125328 (2020)
2010 – 2019
- 2019
- [j24]Chi Young Ahn, Sangwoon Yun:
A mathematical model for the 3d location estimation of 2D echocardiography data. Appl. Math. Lett. 88: 186-192 (2019) - [j23]Muralitharan Krishnan, Sangwoon Yun, Yoon Mo Jung:
Enhanced clustering and ACO-based multiple mobile sinks for efficiency improvement of wireless sensor networks. Comput. Networks 160: 33-40 (2019) - [j22]Jae Hwa Lee, Yoon Mo Jung, Ya-Xiang Yuan, Sangwoon Yun:
A subspace SQP method for equality constrained optimization. Comput. Optim. Appl. 74(1): 177-194 (2019) - [j21]Muralitharan Krishnan, Sangwoon Yun, Yoon Mo Jung:
Dynamic clustering approach with ACO-based mobile sink for data collection in WSNs. Wirel. Networks 25(8): 4859-4871 (2019) - 2018
- [j20]Chi Young Ahn, Sangwoon Yun:
A study on the 3D position estimation of ventricular borders extracted from 2D echocardiography data. Comput. Math. Appl. 75(4): 1143-1158 (2018) - 2017
- [j19]Sangho Kum, Sangwoon Yun:
Incremental Gradient Method for Karcher Mean on Symmetric Cones. J. Optim. Theory Appl. 172(1): 141-155 (2017) - 2016
- [j18]Chang-Ock Lee, Jong Ho Lee, Hyenkyun Woo, Sangwoon Yun:
Block Decomposition Methods for Total Variation by Primal-Dual Stitching. J. Sci. Comput. 68(1): 273-302 (2016) - [j17]Yoon Mo Jung, Sangwoon Yun:
A coordinate descent homotopy method for linearly constrained nonsmooth convex minimization. Optim. Methods Softw. 31(2): 342-358 (2016) - 2015
- [j16]Da Kuang, Sangwoon Yun, Haesun Park:
SymNMF: nonnegative low-rank approximation of a similarity matrix for graph clustering. J. Glob. Optim. 62(3): 545-574 (2015) - [j15]Yoon Mo Jung, Sangwoon Yun:
Impedance Imaging With First-Order TV Regularization. IEEE Trans. Medical Imaging 34(1): 193-202 (2015) - 2014
- [j14]Paul Tseng, Sangwoon Yun:
Incrementally Updated Gradient Methods for Constrained and Regularized Optimization. J. Optim. Theory Appl. 160(3): 832-853 (2014) - [j13]Sangwoon Yun:
On the Iteration Complexity of Cyclic Coordinate Gradient Descent Methods. SIAM J. Optim. 24(3): 1567-1580 (2014) - 2013
- [j12]Myeongmin Kang, Sangwoon Yun, Hyenkyun Woo, Myungjoo Kang:
Accelerated Bregman Method for Linearly Constrained ℓ1-ℓ2 Minimization. J. Sci. Comput. 56(3): 515-534 (2013) - [j11]Seungmi Oh, Hyenkyun Woo, Sangwoon Yun, Myungjoo Kang:
Non-convex hybrid total variation for image denoising. J. Vis. Commun. Image Represent. 24(3): 332-344 (2013) - [j10]Myungjoo Kang, Sangwoon Yun, Hyenkyun Woo:
Two-Level Convex Relaxed Variational Model for Multiplicative Denoising. SIAM J. Imaging Sci. 6(2): 875-903 (2013) - [j9]Hyenkyun Woo, Sangwoon Yun:
Proximal Linearized Alternating Direction Method for Multiplicative Denoising. SIAM J. Sci. Comput. 35(2) (2013) - 2012
- [j8]Hyenkyun Woo, Sangwoon Yun:
Alternating Minimization Algorithm for Speckle Reduction With a Shifting Technique. IEEE Trans. Image Process. 21(4): 1701-1714 (2012) - [j7]Sangwoon Yun, Hyenkyun Woo:
A New Multiplicative Denoising Variational Model Based on $m$th Root Transformation. IEEE Trans. Image Process. 21(5): 2523-2533 (2012) - 2011
- [j6]Sangwoon Yun, Kim-Chuan Toh:
A coordinate gradient descent method for ℓ1-regularized convex minimization. Comput. Optim. Appl. 48(2): 273-307 (2011) - [j5]Sangwoon Yun, Paul Tseng, Kim-Chuan Toh:
A block coordinate gradient descent method for regularized convex separable optimization and covariance selection. Math. Program. 129(2): 331-355 (2011) - [j4]Sangwoon Yun, Hyenkyun Woo:
Linearized proximal alternating minimization algorithm for motion deblurring by nonlocal regularization. Pattern Recognit. 44(6): 1312-1326 (2011) - [j3]Zuowei Shen, Kim-Chuan Toh, Sangwoon Yun:
An Accelerated Proximal Gradient Algorithm for Frame-Based Image Restoration via the Balanced Approach. SIAM J. Imaging Sci. 4(2): 573-596 (2011) - [c1]Sangwoon Yun, Hyenkyun Woo:
Alternating minimization algorithm for shifted speckle reduction variational model. IGARSS 2011: 4188-4191 - 2010
- [j2]Paul Tseng, Sangwoon Yun:
A coordinate gradient descent method for linearly constrained smooth optimization and support vector machines training. Comput. Optim. Appl. 47(2): 179-206 (2010)
2000 – 2009
- 2009
- [j1]Paul Tseng, Sangwoon Yun:
A coordinate gradient descent method for nonsmooth separable minimization. Math. Program. 117(1-2): 387-423 (2009)
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