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Journal Articles
- 2024
[j28]Keunsu Kim, Hanbaek Lyu, Jinsu Kim, Jae-Hun Jung
:
Supervised Low-Rank Semi-nonnegative Matrix Factorization with Frequency Regularization for Forecasting Spatio-temporal Data. J. Sci. Comput. 100(2): 29 (2024)- 2023
- [j27]Jiaxi Gu, Xinjuan Chen, Jae-Hun Jung:
Fifth-order weighted essentially non-oscillatory schemes with new Z-type nonlinear weights for hyperbolic conservation laws. Comput. Math. Appl. 134: 140-166 (2023) - [j26]Dongjin Lee, Seong-Heon Lee, Jae-Hun Jung:
The effects of topological features on convolutional neural networks - an explanatory analysis via Grad-CAM. Mach. Learn. Sci. Technol. 4(3): 35019 (2023) - 2021
- [j25]Jiaxi Gu, Jae-Hun Jung:
Consistent, non-oscillatory RBF finite difference solutions to boundary layer problems for any degree on uniform grids. Appl. Math. Lett. 115: 106944 (2021) - [j24]Jiaxi Gu, Jae-Hun Jung:
Adaptive Gaussian radial basis function methods for initial value problems: Construction and comparison with adaptive multiquadric radial basis function methods. J. Comput. Appl. Math. 381: 113036 (2021) - 2020
- [j23]Zhao Song, Jae-Hun Jung:
The exact formula of the optimal penalty parameter value of the spectral penalty method for differential equations. Appl. Math. Comput. 381: 125313 (2020) - [j22]John Nicponski, Jae-Hun Jung:
Topological Data Analysis of Vascular Disease: A Theoretical Framework. Frontiers Appl. Math. Stat. 6: 34 (2020) - [j21]Jiaxi Gu, Jae-Hun Jung:
Adaptive Radial Basis Function Methods for Initial Value Problems. J. Sci. Comput. 82(2): 47 (2020) - 2018
- [j20]Ruonan Shi, Jae-Hun Jung:
A Domain Decomposition Fourier Continuation Method for Enhanced L1 Regularization Using Sparsity of Edges in Reconstructing Fourier Data. J. Sci. Comput. 74(2): 851-871 (2018) - [j19]John Nicponski, Jae-Hun Jung:
A Note on High-Precision Approximation of Asymptotically Decaying Solution and Orthogonal Decomposition. J. Sci. Comput. 76(1): 189-215 (2018) - [j18]Xinjuan Chen, Jae-Hun Jung, Anne Gelb:
Finite Fourier Frame Approximation Using the Inverse Polynomial Reconstruction Method. J. Sci. Comput. 76(2): 1127-1147 (2018) - 2017
- [j17]He Yang, Jingyang Guo, Jae-Hun Jung:
Schwartz duality of the Dirac delta function for the Chebyshev collocation approximation to the fractional advection equation. Appl. Math. Lett. 64: 205-212 (2017) - [j16]Dong-Hyun Yoon, Yohan Hong, Jae-Hun Jung, Youngkwon Jo, Kwang-Hyun Baek:
A low-jitter BMCDR for half-rate PON systems. IEICE Electron. Express 14(1): 20161045 (2017) - [j15]Jingyang Guo, Jae-Hun Jung:
A numerical study of the local monotone polynomial edge detection for the hybrid WENO method. J. Comput. Appl. Math. 321: 232-245 (2017) - [j14]Jingyang Guo, Jae-Hun Jung:
Radial Basis Function ENO and WENO Finite Difference Methods Based on the Optimization of Shape Parameters. J. Sci. Comput. 70(2): 551-575 (2017) - [j13]Kyomin Sohn, Won-Joo Yun, Reum Oh, Chi-Sung Oh, Seong-Young Seo, Min-Sang Park, Dong-Hak Shin, Won-Chang Jung, Sang-Hoon Shin, Je-Min Ryu, Hye-Seung Yu, Jae-Hun Jung, Hyunui Lee, Seok-Yong Kang, Young-Soo Sohn, Jung-Hwan Choi, Yong-Cheol Bae, Seong-Jin Jang, Gyo-Young Jin:
A 1.2 V 20 nm 307 GB/s HBM DRAM With At-Speed Wafer-Level IO Test Scheme and Adaptive Refresh Considering Temperature Distribution. IEEE J. Solid State Circuits 52(1): 250-260 (2017) - 2015
- [j12]Jan S. Hesthaven, Jae-Hun Jung, Allen M. Tesdall:
Hyperbolic Problems: Theory and Computation. J. Sci. Comput. 64(3): 587-590 (2015) - 2013
- [j11]Debananda Chakraborty, Jae-Hun Jung:
A quantitative study of the nonlinear Schrödinger equation with singular potential of any derivative orders. Appl. Math. Lett. 26(8): 860-866 (2013) - [j10]Allen M. Tesdall, Jae-Hun Jung, Ilias S. Kotsireas, Roderick V. N. Melnik:
Preface. J. Comput. Sci. 4(1-2): 1-2 (2013) - [j9]Debananda Chakraborty, Jae-Hun Jung:
Efficient determination of the critical parameters and the statistical quantities for Klein-Gordon and sine-Gordon equations with a singular potential using generalized polynomial chaos methods. J. Comput. Sci. 4(1-2): 46-61 (2013) - [j8]Jae-Hun Jung, Joseph Lee, Kenneth R. Hoffmann, Todd Dorazio, E. Bruce Pitman:
A rapid interpolation method of finding vascular CFD solutions with spectral collocation methods. J. Comput. Sci. 4(1-2): 101-110 (2013) - 2012
- [j7]Xinjuan Chen, Jae-Hun Jung:
Matrix Stability of Multiquadric Radial Basis Function Methods for Hyperbolic Equations with Uniform Centers. J. Sci. Comput. 51(3): 683-702 (2012) - 2011
- [j6]Jae-Hun Jung, Wolfgang Stefan:
A Simple Regularization of the Polynomial Interpolation for the Resolution of the Runge Phenomenon. J. Sci. Comput. 46(2): 225-242 (2011) - 2010
- [j5]Jae-Hun Jung, Sigal Gottlieb, Saeja Oh Kim, Chris L. Bresten, Daniel Higgs:
Recovery of High Order Accuracy in Radial Basis Function Approximations of Discontinuous Problems. J. Sci. Comput. 45(1-3): 359-381 (2010) - [j4]Hong Chang Yeoh, Jae-Hun Jung, Yun-Hwan Jung, Kwang-Hyun Baek:
A 1.3-GHz 350-mW Hybrid Direct Digital Frequency Synthesizer in 90-nm CMOS. IEEE J. Solid State Circuits 45(9): 1845-1855 (2010) - 2009
- [j3]Jae-Hun Jung:
A Note on the Spectral Collocation Approximation of Some Differential Equations with Singular Source Terms. J. Sci. Comput. 39(1): 49-66 (2009) - 2007
- [j2]Jae-Hun Jung, Bernie D. Shizgal:
On the numerical convergence with the inverse polynomial reconstruction method for the resolution of the Gibbs phenomenon. J. Comput. Phys. 224(2): 477-488 (2007) - 2005
- [j1]Jae-Hun Jung, Bernie D. Shizgal:
Inverse Polynomial Reconstruction of Two Dimensional Fourier Images. J. Sci. Comput. 25(3): 367-399 (2005)
Conference and Workshop Papers
- 2024
- [c6]Jungeun Kim, Junwon You, Dongjin Lee, Ha Young Kim, Jae-Hun Jung:
Do Topological Characteristics Help in Knowledge Distillation? ICML 2024 - 2016
- [c5]Hyunui Lee, Sukyong Kang, Hye-Seung Yu, Won-Joo Yun, Jae-Hun Jung, Sungoh Ahn, Wang-Soo Kim, Beomyong Kil, Yoo-Chang Sung, Sang-Hoon Shin, Yong-Sik Park, Yong-Hwan Kim, Kyung-Woo Nam, Indal Song, Kyomin Sohn, Yong-Cheol Bae, Jung-Hwan Choi, Seong-Jin Jang, Gyo-Young Jin:
Design of non-contact 2Gb/s I/O test methods for high bandwidth memory (HBM). A-SSCC 2016: 169-172 - [c4]Dong-Hyuk Lee, Jae-Hun Jung, Ha-Neul Yoon, Young-Sik Park, Jang-Myung Lee:
Simulation of Time Delay Compensation Controller for a Mobile Robot Using the SMC and Smith Predictor. IAS 2016: 687-694 - [c3]Kyomin Sohn, Won-Joo Yun, Reum Oh, Chi-Sung Oh, Seong-Young Seo, Min-Sang Park, Dong-Hak Shin, Won-Chang Jung, Sang-Hoon Shin, Je-Min Ryu, Hye-Seung Yu, Jae-Hun Jung, Kyung-Woo Nam, Seouk-Kyu Choi, Jaewook Lee, Uksong Kang, Young-Soo Sohn, Jung-Hwan Choi, Chi-Wook Kim, Seong-Jin Jang, Gyo-Young Jin:
18.2 A 1.2V 20nm 307GB/s HBM DRAM with at-speed wafer-level I/O test scheme and adaptive refresh considering temperature distribution. ISSCC 2016: 316-317 - 2012
- [c2]Boris Brimkov, Jae-Hun Jung, Jim Kotary, Xinwei Liu, Jing Zheng:
A spectral and radial basis function hybrid method for visualizing vascular flows. CompIMAGE 2012: 205-208 - 2010
- [c1]Chang-Soo Lee, Chang-Hyung Choi, Jae-Hun Jung:
Microfluidic system for the synthesis of functional materials. NEMS 2010: 902-905
Informal and Other Publications
- 2024
- [i17]Jiaxi Gu, Xinjuan Chen, Jae-Hun Jung:
Explicit radial basis function Runge-Kutta methods. CoRR abs/2403.08253 (2024) - [i16]Junwon You, Eunwoo Heo, Jae-Hun Jung:
PHLP: Sole Persistent Homology for Link Prediction - Interpretable Feature Extraction. CoRR abs/2404.15225 (2024) - [i15]Eunwoo Heo, Jae-Hun Jung:
Persistent homology of featured time series data and its applications. CoRR abs/2405.04796 (2024) - [i14]Eddel Elí Ojeda Avilés, Daniel Olmos-Liceaga, Jae-Hun Jung:
Stratified Sampling Algorithms for Machine Learning Methods in Solving Two-scale Partial Differential Equations. CoRR abs/2405.15686 (2024) - [i13]Kwanghyuk Park, Xinjuan Chen, Dongjin Lee, Jiaxi Gu, Jae-Hun Jung:
A third-order finite difference weighted essentially non-oscillatory scheme with shallow neural network. CoRR abs/2407.06333 (2024) - [i12]Jiaxi Gu, Daniel Olmos-Liceaga, Jae-Hun Jung:
A Numerical Study of WENO Approximations to Sharp Propagating Fronts for Reaction-Diffusion Systems. CoRR abs/2407.09393 (2024) - [i11]Eddel Elí Ojeda Avilés, Jae-Hun Jung, Daniel Olmos-Liceaga:
Neural network Approximations for Reaction-Diffusion Equations - Homogeneous Neumann Boundary Conditions and Long-time Integrations. CoRR abs/2409.08941 (2024) - 2023
- [i10]Xinjuan Chen, Jiaxi Gu, Jae-Hun Jung:
A temporal weight analysis and novel nonlinear weights of weighted essentially non-oscillatory schemes for hyperbolic conservation laws. CoRR abs/2310.05679 (2023) - [i9]Keunsu Kim, Hanbaek Lyu, Jinsu Kim, Jae-Hun Jung:
Supervised low-rank semi-nonnegative matrix factorization with frequency regularization for forecasting spatio-temporal data. CoRR abs/2311.08636 (2023) - 2022
- [i8]Sijin Yeom, Jae-Hun Jung:
Weighted Random Cut Forest Algorithm for Anomaly Detections. CoRR abs/2202.01891 (2022) - [i7]Mai Lan Tran, Dongjin Lee, Jae-Hun Jung:
Machine Composition of Korean Music via Topological Data Analysis and Artificial Neural Network. CoRR abs/2203.15468 (2022) - 2021
- [i6]Mai Lan Tran, Changbom Park, Jae-Hun Jung:
Topological Data Analysis of Korean Music in Jeongganbo: A Cycle Structure. CoRR abs/2103.06620 (2021) - [i5]Jae-Hun Jung, Daniel Olmos-Liceaga:
A Chebyshev multidomain adaptive mesh method for Reaction-Diffusion equations. CoRR abs/2103.08484 (2021) - [i4]Megan Johnson, Jae-Hun Jung:
Instability of the Betti Sequence for Persistent Homology and a Stabilized Version of the Betti Sequence. CoRR abs/2109.09218 (2021) - [i3]Jiaxi Gu, Xinjuan Chen, Jae-Hun Jung:
Fifth-order Z-type weighted essentially non-oscillatory schemes for hyperbolic conservation laws. CoRR abs/2112.03094 (2021) - 2020
- [i2]Megan Johnson, Jae-Hun Jung:
The Interconnectivity Vector: A Finite-Dimensional Vector Representation of Persistent Homology. CoRR abs/2011.11579 (2020) - 2019
- [i1]Christopher Bresten, Jae-Hun Jung:
Detection of gravitational waves using topological data analysis and convolutional neural network: An improved approach. CoRR abs/1910.08245 (2019)
Coauthor Index
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