YunKyong's Home Page

Y. Min, Y. Kim, YunKyong Hyon, T. Ha, S. Lee, and J Hyun, RNN and GNN based prediction of agricultural prices with multivariatetime series and its short-term fluctuations smoothing effect, Scientific Reports, (Accepted), 2025.

J. Hyun · YunKyong Hyon · M. Lee · S. Lee · T. Ha · Y. R. KIM, Weight-Sharing Method for Upsampling Layer from Feature Embedding Recursive Block, Workshop on Machine Learning and Compression, NeurIPS 2024.

 D. K. Kim, S. Kim, D. H. Kang, H. Ju, D. K. Oh, S. Y. Lee, M. H. Park, C. Lim, YunKyong Hyon, S. I. Lee, Influence of underlying condition and performance of sepsis bundle in very old patients with sepsis: a nationwide cohort study, Annals of Intensive Care, vol. 14, no.179 (2024) 

Y. Kim , YunKyong Hyon, S.-D. Woo, S. Lee, S.-I Lee, T. Ha, C. Chung, Evolution of the Stethoscope: Advances with the Adoption of Machine Learning and Development of Wearable Devices, Tuberculosis and Respiratory Diseases, 2023 Oct;86(4):251-263.

J. Y. Choi, J. H. Lee, Y. Choi, YunKyong Hyon, and Y. H. Kim, Prediction of Disorders with Significant Coronary Lesions Using Machine Learning in Patients Admitted with Chest Symptom, PLOS ONE, October 10, 2022 (https://doi.org/10.1371/journal.pone.0274416)

Y. Kim, YunKyong Hyon, S. Lee, S. Woo, T. Ha, and C. Chung, The coming era of a new auscultation system for analyzing respiratory sounds, BMC Pulmonary Medicine, 22(119), 2022.

Y. M. Park, Y. Kwon, C. I. Choi, B. K. Choi, K. O. Seo, Y. Park, K. Yang, S. Lee, T. Ha, YunKyong Hyon, M. Yoon, Machine Learning-Based Survival Rate Prediction of Korean Hepatocellular Carcinoma Patients using Multi-center Data, BMC Gastroenterology, 22(85), 2022.

H. R. Kim, J. W. Jeon, H. J. Bae, J. A. Shin, Y. R. Ham,Ki R. Na, K. W. Lee, D. E. Choi, YunKyong Hyon, Body fat plays a important role in of bioimpedance spectros-copy-based dry weight measurement error for the patients with hemodialysis, Diagnostics, 11(10), 1907, 2021.

Y. Kim, YunKyong Hyon, S. S. Jung, S. Lee, G. Yoo, C. Chung, and T. Ha, Respiratory sound classification for crackles, wheezes, and rhonchi in the clinical field using deep learning, Scientific Reports, 11, 17186, 2021.

H. R. Kim, H. J. Bae, J. W. Jeon, Y. R. Ham, K. R. Na, K. W. Lee, YunKyong Hyon, and D. E. Choi, A Novel Approach To Dry Weight Adjustments For Dialysis Patients Using Machine Learning, PLOS ONE, April 23, pp.1--12, 2021.

J. Lee, J. Shin, T. Ko, S. Lee, H. Chang, and YunKyong Hyon, Descriptors of atoms and structure information for predicting properties of crystalline materials, Materials Research Express, 8(2) 026302, pp.1--8, 2021.

S. Lee, H. W. Kim, J. Im, S. K. Kim, Y. T. Kim, H. Chang, T. Ko, J. Lee and YunKyong Hyon, Applying Machine Learning Algorithms to Predict Potential Energies and Atomic Forces during C-H Activation Process , Journal of the Korean Physical Society, 77, pp.68--688, 2020.

S. W. Yang, YunKyong Hyon, H. S. Na, L. Jin, J. G. Lee, J. M. Park, J. Y. Lee, J. H. Shin, J. S. Lim, Y. G. Na, K. Jeon, T. Ha, J. Kim and K. H. Song, Machine Learning Prediction of Stone-free Success in Patients with Urinary Stone after Treatment of Shock Wave Lithotripsy, BioMed Central(BMC) Urology, 20(88), pp.1--8, 2020.

J. G. Lee, S. W. Yang, S. H Lee, YunKyong Hyon, J. B. Kim, L. Jin, J. Y. Lee, J. M. Park, T. Y. Ha, J. H. S., J. S. Lim, Y. G. Na and K. H. Song, Machine Learning Approaches for the Prediction of Prostate Cancer according to Age and the Prostate-Specific Antigen level, The Korean Journal of Urological Oncology, 17(2), pp.110--117, 2019.

Jino Im, Seongwon Lee, Tae-Wook Ko, Hyun Woo Kim, YunKyong Hyon and Hyunju Chang, Identifying Pb-free perovskites for solar cells by machine learning, npj Computational Materials 5, Article number:37, 2019.

Do Young Kwak, Seungwoo Lee and YunKyong Hyon, A New Finite Element For Interface Problems Having Robin Type Jump, International Journal Of Numerical Analysis And Modeling, 14(4), pp.532--549, 2017.

Chiun-Chang Lee, Hijin Lee, YunKyong Hyon, Tai-Chia Lin and Chun Liu, Boundary layer solutions of Charge Conserving Poisson-Boltzmann equations: one-dimensional case, Communications in Mathematical Sciences, 14(4), pp.911--940, 2016.

Chia-yu Hsieh, Yunkyong Hyon, Hijin Lee, Tai-chia Lin, and Chun Liu, Transport of Charged Particles: Entropy Production and Maximum Dissipation Principle, Journal of Mathematical Analysis and Applications, 422, pp.309--336, 2015.

Mehdi Jabbarzadeh, YunKyong Hyon, and Henry C. Fu, Swimming fluctuations of micro-organisms due to heterogeneous microstructure, Physical Review E 90, 043021 2014.

YunKyong Hyon, Hysteretic Behavior of Moment-Closure Approximation for FENE Model, Kinetic and Related Models, 7(3), pp.493--507, 2014.

YunKyong Hyon, Bob Eisenberg, and Chun Liu, An Energetic Variational Approach to Ion Channel Dynamics, Mathematical Methods in the Applied Sciences, 37(7), pp.952--961, 2014.

Marcos, YunKyong Hyon, Thomas R. Powers, Roman Stocker, and Henry C. Fu, The Wiggling Trajectories of Bacteria, Journal of Fluid Mechanics, 705, pp.58--76, 2012.

YunKyong Hyon, Jim Fonseca, Bob Eisenberg, and Chun Liu, Energy Variational Approach to Study Charge Inversion (Layering) near Charged Walls, DCDS-B, 17(8), pp.2725--2743, 2012.

YunKyong Hyon, Do Young Kwak, Superconvergence of New Mixed Finite Element Spaces, Journal of Computational and Applied Mathematics, 235, pp.4265--4271, 2011.

Chiun-Chang Lee, Hijin Lee, YunKyong Hyon, Tai-Chia Lin, and Chun Liu, New Poisson-Boltzmann Type Equations: One-Dimensional Solutions, Nonlinearity, 24, pp.431--458, 2011.

YunKyong Hyon, Bob Eisenberg, and Chun Liu, A Mathematical Model for the Hard Sphere Repulsion in Ionic Solutions, Communications in Mathematical Sciences, 9(2), pp.459--475, 2011.

YunKyong Hyon, Bob Eisenberg, and Chun Liu, Energy Variational Analysis EnVarA of Ions in Water and Channels: Field Theory for Primitive Models of Complex Ionic Fluids, Journal of Chemical Physics, 133, pp.104104-1--23 2010.

YunKyong Hyon, Do Young Kwak, New Quadrilateral Mixed Finite Elements, Electronic Transactions on Numerical Analysis, Vol. 37, pp. 189--201, 2010.

YunKyong Hyon, Qiang Du, and Chun Liu, On Some PDF Based Moment Closure Approximations of Micro-Macro Models for Viscoelastic Polymeric Fluids, J. Comput. and Theo. Nanoscience, Vol. 7(4), pp. 756--765, 2010

YunKyong Hyon, Do Young Kwak, and Chun Liu, Energetic Variational Approach in Complex Fluids : Maximum Dissipation Principle, DCDS-A, Vol. 26, No. 4, pp.1291--1304, 2010.

YunKyong Hyon, Qiang Du, and Chun Liu, An Enhanced Macroscopic Closure Approximation to the Micro-Macro FENE Models for Polymeric Materials, SIAM : Multiscale Modeling and Simulation, Vol. 7, No. 2, pp.978--1002, 2008.

YunKyong Hyon, Jose A. Carrillo, Qiang Du, and Chun Liu, A Maximum Entropy Principle based Closure Method for Macro-micro Models of Polymeric Materials, Kinetic and Related Models, v.1, no.2, p.171--184, 2008.

YunKyong Hyon, Ho-Jong Jang and Do Young Kwak, A Nonconforming Covolume Method for Elliptic Problems, Applied Mathematics and Computation, v.196, p.60--66, 2008.

P. A. Krutitskii, YunKyong Hyon, and Do Young Kwak, Numerical Treatment of A Skew Derivative Problem for the Laplace Equation in the Exterior of An Open Arc, Journal of Engineering Mathematics, v.59, p.25--60, 2007.

YunKyong Hyon, and Ho-Jong Jang, An Accelerated Deflation Technique for Large Symmetric Generalized Eigenproblems, Journal of Korean Society for Industrial and Applied Mathematics, v.3, no.1, 99--106, 1999.