Hyung Ju Hwang

Publication Activity (10 Years)

Years Active: 2004-2024
Publications (10 Years): 45

Top Topics

Partial Differential Equations

Semiconductor Manufacturing

Top Venues

J. Comput. Phys.

SIAM J. Math. Anal.

Publications

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) (2024)
Namkyeong Cho, Junseung Ryu, Hyung Ju Hwang
Sobolev Training for Operator Learning. CoRR (2024)
Hyeontae Jo, Sung Woong Cho, Hyung Ju Hwang
Estimating the Distribution of Parameters in Differential Equations with Repeated Cross-Sectional Data. CoRR (2024)
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)
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 (2024)
Min Sue Park, Hyung Ju Hwang
Concept-Oriented Self-Explaining Neural Networks. Neural Process. Lett. 55 (8) (2023)
Jae Yong Lee, Sung Woong Cho, Hyung Ju Hwang
HyperDeepONet: learning operator with complex target function space using the limited resources via hypernetwork. CoRR (2023)
Min Sue Park, Cheolhyeong Kim, Hwijae Son, Hyung Ju Hwang
The deep minimizing movement scheme. J. Comput. Phys. 494 (2023)
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)
Jae Yong Lee, Juhi Jang, Hyung Ju Hwang
opPINN: Physics-informed neural network with operator learning to approximate solutions to the Fokker-Planck-Landau equation. J. Comput. Phys. 480 (2023)
Hwijae Son, Hyunwoo Cho, Hyung Ju Hwang
Physics-Informed Neural Networks for Microprocessor Thermal Management Model. IEEE Access 11 (2023)
Hwijae Son, Sung Woong Cho, Hyung Ju Hwang
Enhanced physics-informed neural networks with Augmented Lagrangian relaxation method (AL-PINNs). Neurocomputing 548 (2023)
Rakhoon Hwang, Seungtae Park, Youngwook Bin, Hyung Ju Hwang
Anomaly Detection in Time Series Data and its Application to Semiconductor Manufacturing. IEEE Access 11 (2023)
Jinyoung Shin, Jae Yong Lee, Hyung Ju Hwang
Pseudo-Differential Integral Operator for Learning Solution Operators of Partial Differential Equations. CoRR (2022)
Cheolhyeong Kim, Seungtae Park, Hyung Ju Hwang
Local Stability of Wasserstein GANs With Abstract Gradient Penalty. IEEE Trans. Neural Networks Learn. Syst. 33 (9) (2022)
Jinyoung Shin, Cheolhyeong Kim, Hyung Ju Hwang
Prior preference learning from experts: Designing a reward with active inference. Neurocomputing 492 (2022)
Rakhoon Hwang, Jae Yong Lee, Jinyoung Shin, Hyung Ju Hwang
Solving PDE-Constrained Control Problems Using Operator Learning. AAAI (2022)
Cheolhyeong Kim, Haeseong Moon, Hyung Ju Hwang
NEAR: Neighborhood Edge AggregatoR for Graph Classification. ACM Trans. Intell. Syst. Technol. 13 (3) (2022)
Rakhoon Hwang, Hanjin Lee, Hyung Ju Hwang
Option compatible reward inverse reinforcement learning. Pattern Recognit. Lett. 154 (2022)
Jae Yong Lee, Juhi Jang, Hyung Ju Hwang
opPINN: Physics-Informed Neural Network with operator learning to approximate solutions to the Fokker-Planck-Landau equation. CoRR (2022)
Hwijae Son, Sung Woong Cho, Hyung Ju Hwang
AL-PINNs: Augmented Lagrangian relaxation method for Physics-Informed Neural Networks. CoRR (2022)
Sung Woong Cho, Hyung Ju Hwang, Hwijae Son
Traveling Wave Solutions of Partial Differential Equations Via Neural Networks. J. Sci. Comput. 89 (1) (2021)
Taehyun Kim, Hyomin Shin, Hyung Ju Hwang, Seungwon Jeong
Posting Bot Detection on Blockchain-based Social Media Platform using Machine Learning Techniques. ICWSM (2021)
Hyung Ju Hwang, Hwijae Son
Lagrangian dual framework for conservative neural network solutions of kinetic equations. CoRR (2021)
Rakhoon Hwang, Jae Yong Lee, Jinyoung Shin, Hyung Ju Hwang
Solving PDE-constrained Control Problems using Operator Learning. CoRR (2021)
Sung Woong Cho, Hyung Ju Hwang, Hwijae Son
Traveling Wave Solutions of Partial Differential Equations via Neural Networks. CoRR (2021)
Hwijae Son, Jin Woo Jang, Woo Jin Han, Hyung Ju Hwang
Sobolev Training for the Neural Network Solutions of PDEs. CoRR (2021)
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 (2021)
Jinyoung Shin, Cheolhyeong Kim, Hyung Ju Hwang
Prior Preference Learning from Experts: Designing a Reward with Active Inference. CoRR (2021)
Hyung Ju Hwang, Cheolhyeong Kim, Min Sue Park, Hwijae Son
The Deep Minimizing Movement Scheme. CoRR (2021)
Min Sue Park, Hwijae Son, Chongseok Hyun, Hyung Ju Hwang
Explainability of Machine Learning Models for Bankruptcy Prediction. IEEE Access 9 (2021)
Rakhoon Hwang, Hyeontae Jo, Kyung Seok Kim, Hyung Ju Hwang
Hybrid Model of Mathematical and Neural Network Formulations for Rolling Force and Temperature Prediction in Hot Rolling Processes. IEEE Access 8 (2020)
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. J. Comput. Phys. 419 (2020)
Taehyun Kim, Hyomin Shin, Hyung Ju Hwang, Seungwon Jeong
Posting Bot Detection on Blockchain-based Social Media Platform using Machine Learning Techniques. CoRR (2020)
Hyeontae Jo, Hwijae Son, Hyung Ju Hwang, Eun Heui Kim
Deep neural network approach to forward-inverse problems. Networks Heterog. Media 15 (2) (2020)
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 (2020)
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 (2019)
Hwijae Son, C. Hyun, Du Phan, Hyung Ju Hwang
Data analytic approach for bankruptcy prediction. Expert Syst. Appl. 138 (2019)
Rakhoon Hwang, Hanjin Lee, Hyung Ju Hwang
Option Compatible Reward Inverse Reinforcement Learning. CoRR (2019)
Cheolhyeong Kim, Haeseong Moon, Hyung Ju Hwang
NEAR: Neighborhood Edge AggregatoR for Graph Classification. CoRR (2019)
Hyeontae Jo, Hwijae Son, Hyung Ju Hwang, Eunheui Kim
Deep Neural Network Approach to Forward-Inverse Problems. CoRR (2019)
Cheolhyeong Kim, Seungtae Park, Hyung Ju Hwang
Local Stability and Performance of Simple Gradient Penalty mu-Wasserstein GAN. CoRR (2018)
Hyung Ju Hwang, Juhi Jang, Jaewoo Jung
The Fokker-Planck Equation with Absorbing Boundary Conditions in Bounded Domains. SIAM J. Math. Anal. 50 (2) (2018)
Marco A. Fontelos, Hyung Ju Hwang, Youngmin Oh
Stability, Instability, and Bifurcation in Electrified Thin Films. SIAM J. Math. Anal. 48 (4) (2016)
Emre Esentürk, Hyung Ju Hwang, Walter A. Strauss
Stationary Solutions of the Vlasov-Poisson System with Diffusive Boundary Conditions. J. Nonlinear Sci. 25 (2) (2015)
Hyeon Jeong Kim, Marco A. Fontelos, Hyung Ju Hwang
Capillary oscillations at a circular orifice. Appl. Math. Lett. 26 (5) (2013)
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) (2007)
Hyung Ju Hwang, Kyungkeun Kang, Angela Stevens
Global Solutions of Nonlinear Transport Equations for Chemosensitive Movement. SIAM J. Math. Anal. 36 (4) (2005)
Hyung Ju Hwang
Regularity for the Vlasov-Poisson System in a Convex Domain. SIAM J. Math. Anal. 36 (1) (2004)