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Hyung Ju Hwang
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2020 – today
- 2024
- [j25]Hyeontae Jo, Hyukpyo Hong
, Hyung Ju Hwang, Won Chang, Jae Kyoung Kim
Density physics-informed neural networks reveal sources of cell heterogeneity in signal transduction. Patterns 5(2): 100899 (2024) - [j24]Jinyoung Shin, Jae Yong Lee, Hyung Ju Hwang:
Pseudo-Differential Neural Operator: Generalize Fourier Neural operator for Learning Solution Operators of Partial Differential Equations. Trans. Mach. Learn. Res. 2024 (2024) - [c4]Rakhoon Hwang
Solving PDEs on Point Clouds by Physics-Informed Learning with Graph Neural Networks. ECAI 2024: 394-402 - [i21]Sung Woong Cho, Jae Yong Lee, Hyung Ju Hwang:
Learning time-dependent PDE via graph neural networks and deep operator network for robust accuracy on irregular grids. CoRR abs/2402.08187 (2024) - [i20]Namkyeong Cho, Junseung Ryu, Hyung Ju Hwang:
Sobolev Training for Operator Learning. CoRR abs/2402.09084 (2024) - [i19]Hyeontae Jo, Sung Woong Cho, Hyung Ju Hwang:
Estimating the Distribution of Parameters in Differential Equations with Repeated Cross-Sectional Data. CoRR abs/2404.14873 (2024) - 2023
- [j23]Hwijae Son, Hyunwoo Cho, Hyung Ju Hwang
Physics-Informed Neural Networks for Microprocessor Thermal Management Model. IEEE Access 11: 122974-122979 (2023) - [j22]Rakhoon Hwang
Anomaly Detection in Time Series Data and its Application to Semiconductor Manufacturing. IEEE Access 11: 130483-130490 (2023) - [j21]Hwijae Son, Sung Woong Cho, Hyung Ju Hwang:
Enhanced physics-informed neural networks with Augmented Lagrangian relaxation method (AL-PINNs). Neurocomputing 548: 126424 (2023) - [j20]Jae Yong Lee
opPINN: Physics-informed neural network with operator learning to approximate solutions to the Fokker-Planck-Landau equation. J. Comput. Phys. 480: 112031 (2023) - [j19]Min Sue Park
The deep minimizing movement scheme. J. Comput. Phys. 494: 112518 (2023) - [j18]Min Sue Park
Concept-Oriented Self-Explaining Neural Networks. Neural Process. Lett. 55(8): 10873-10904 (2023) - [c3]Jae Yong Lee, Sung Woong Cho, Hyung Ju Hwang:
HyperDeepONet: learning operator with complex target function space using the limited resources via hypernetwork. ICLR 2023 - [i18]Jae Yong Lee
HyperDeepONet: learning operator with complex target function space using the limited resources via hypernetwork. CoRR abs/2312.15949 (2023) - 2022
- [j17]Jinyoung Shin, Cheolhyeong Kim, Hyung Ju Hwang:
Prior preference learning from experts: Designing a reward with active inference. Neurocomputing 492: 508-515 (2022) - [j16]Rakhoon Hwang, Hanjin Lee, Hyung Ju Hwang:
Option compatible reward inverse reinforcement learning. Pattern Recognit. Lett. 154: 83-89 (2022) - [j15]Cheolhyeong Kim, Haeseong Moon, Hyung Ju Hwang
NEAR: Neighborhood Edge AggregatoR for Graph Classification. ACM Trans. Intell. Syst. Technol. 13(3): 45:1-45:17 (2022) - [j14]Cheolhyeong Kim
Local Stability of Wasserstein GANs With Abstract Gradient Penalty. IEEE Trans. Neural Networks Learn. Syst. 33(9): 4527-4537 (2022) - [c2]Rakhoon Hwang, Jae Yong Lee
Solving PDE-Constrained Control Problems Using Operator Learning. AAAI 2022: 4504-4512 - [i17]Jinyoung Shin, Jae Yong Lee, Hyung Ju Hwang:
Pseudo-Differential Integral Operator for Learning Solution Operators of Partial Differential Equations. CoRR abs/2201.11967 (2022) - [i16]Hwijae Son, Sung Woong Cho, Hyung Ju Hwang:
AL-PINNs: Augmented Lagrangian relaxation method for Physics-Informed Neural Networks. CoRR abs/2205.01059 (2022) - [i15]Jae Yong Lee
opPINN: Physics-Informed Neural Network with operator learning to approximate solutions to the Fokker-Planck-Landau equation. CoRR abs/2207.01765 (2022) - 2021
- [j13]Min Sue Park
Explainability of Machine Learning Models for Bankruptcy Prediction. IEEE Access 9: 124887-124899 (2021) - [j12]Sung Woong Cho, Hyung Ju Hwang
Traveling Wave Solutions of Partial Differential Equations Via Neural Networks. J. Sci. Comput. 89(1): 21 (2021) - [c1]Taehyun Kim, Hyomin Shin, Hyung Ju Hwang, Seungwon Jeong:
Posting Bot Detection on Blockchain-based Social Media Platform using Machine Learning Techniques. ICWSM 2021: 303-314 - [i14]Sung Woong Cho, Hyung Ju Hwang, Hwijae Son:
Traveling Wave Solutions of Partial Differential Equations via Neural Networks. CoRR abs/2101.08520 (2021) - [i13]Hwijae Son, Jin Woo Jang, Woo Jin Han, Hyung Ju Hwang:
Sobolev Training for the Neural Network Solutions of PDEs. CoRR abs/2101.08932 (2021) - [i12]Jinyoung Shin, Cheolhyeong Kim, Hyung Ju Hwang:
Prior Preference Learning from Experts: Designing a Reward with Active Inference. CoRR abs/2101.08937 (2021) - [i11]Hyung Ju Hwang, Hwijae Son:
Lagrangian dual framework for conservative neural network solutions of kinetic equations. CoRR abs/2106.12147 (2021) - [i10]Hyung Ju Hwang, Seyoung Jung, Min Sue Park, Hyeontae Jo:
Development of patients triage algorithm from nationwide COVID-19 registry data based on machine learning. CoRR abs/2109.09001 (2021) - [i9]Hyung Ju Hwang, Cheolhyeong Kim, Min Sue Park, Hwijae Son:
The Deep Minimizing Movement Scheme. CoRR abs/2109.14851 (2021) - [i8]Rakhoon Hwang, Jae Yong Lee, Jinyoung Shin, Hyung Ju Hwang:
Solving PDE-constrained Control Problems using Operator Learning. CoRR abs/2111.04941 (2021) - 2020
- [j11]Rakhoon Hwang
Hybrid Model of Mathematical and Neural Network Formulations for Rolling Force and Temperature Prediction in Hot Rolling Processes. IEEE Access 8: 153123-153133 (2020) - [j10]Hyung Ju Hwang
Trend to equilibrium for the kinetic Fokker-Planck equation via the neural network approach. J. Comput. Phys. 419: 109665 (2020) - [j9]Hyeontae Jo, Hwijae Son, Hyung Ju Hwang, Eun Heui Kim:
Deep neural network approach to forward-inverse problems. Networks Heterog. Media 15(2): 247-259 (2020) - [i7]Taehyun Kim, Hyomin Shin, Hyung Ju Hwang, Seungwon Jeong:
Posting Bot Detection on Blockchain-based Social Media Platform using Machine Learning Techniques. CoRR abs/2008.12471 (2020) - [i6]Jae Yong Lee, Jin Woo Jang, Hyung Ju Hwang:
The model reduction of the Vlasov-Poisson-Fokker-Planck system to the Poisson-Nernst-Planck system via the Deep Neural Network Approach. CoRR abs/2009.13280 (2020)
2010 – 2019
- 2019
- [j8]Hwijae Son, C. Hyun, Du Phan, Hyung Ju Hwang
Data analytic approach for bankruptcy prediction. Expert Syst. Appl. 138 (2019) - [i5]Hyeontae Jo, Hwijae Son, Hyung Ju Hwang, Eunheui Kim:
Deep Neural Network Approach to Forward-Inverse Problems. CoRR abs/1907.12925 (2019) - [i4]Cheolhyeong Kim, Haeseong Moon, Hyung Ju Hwang:
NEAR: Neighborhood Edge AggregatoR for Graph Classification. CoRR abs/1909.02746 (2019) - [i3]Rakhoon Hwang, Hanjin Lee, Hyung Ju Hwang:
Option Compatible Reward Inverse Reinforcement Learning. CoRR abs/1911.02723 (2019) - [i2]Hyung Ju Hwang, Jin Woo Jang, Hyeontae Jo, Jae Yong Lee:
Trend to Equilibrium for the Kinetic Fokker-Planck Equation via the Neural Network Approach. CoRR abs/1911.09843 (2019) - 2018
- [j7]Hyung Ju Hwang, Juhi Jang, Jaewoo Jung:
The Fokker-Planck Equation with Absorbing Boundary Conditions in Bounded Domains. SIAM J. Math. Anal. 50(2): 2194-2232 (2018) - [i1]Cheolhyeong Kim, Seungtae Park, Hyung Ju Hwang:
Local Stability and Performance of Simple Gradient Penalty mu-Wasserstein GAN. CoRR abs/1810.02528 (2018) - 2016
- [j6]Marco A. Fontelos
Stability, Instability, and Bifurcation in Electrified Thin Films. SIAM J. Math. Anal. 48(4): 2730-2782 (2016) - 2015
- [j5]Emre Esentürk
Stationary Solutions of the Vlasov-Poisson System with Diffusive Boundary Conditions. J. Nonlinear Sci. 25(2): 315-342 (2015) - 2013
- [j4]Hyeon Jeong Kim, Marco A. Fontelos
Capillary oscillations at a circular orifice. Appl. Math. Lett. 26(5): 559-565 (2013)
2000 – 2009
- 2007
- [j3]Hyung Ju Hwang, Kyungkeun Kang, Angela Stevens:
Erratum: "Global Solutions of Nonlinear Transport Equations for Chemosensitive Movement" [SIAM J. Math. Analysis 36 (2005) 1177-1199]. SIAM J. Math. Anal. 39(3): 1018-1021 (2007) - 2005
- [j2]Hyung Ju Hwang, Kyungkeun Kang, Angela Stevens:
Global Solutions of Nonlinear Transport Equations for Chemosensitive Movement. SIAM J. Math. Anal. 36(4): 1177-1199 (2005) - 2004
- [j1]Hyung Ju Hwang:
Regularity for the Vlasov-Poisson System in a Convex Domain. SIAM J. Math. Anal. 36(1): 121-171 (2004)
Coauthor Index
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