Hyung Ju Hwang

64 papers A* 3A 2Journal 59

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	Learning from Imperfect Data: Robust Inference of Dynamic Systems Using Simulation-Based Generative Model. AAAI Hyunwoo Cho, Hyeontae Jo, Hyung Ju Hwang
2026	J	`jnl`	Learning time-dependent PDE via graph neural networks and deep operator network for robust accuracy on irregular grids. J. Comput. Phys. Sung Woong Cho, Jae Yong Lee, Hyung Ju Hwang
2026	J	`jnl`	MBNO: Mamba-based neural operators for solving partial differential equations. J. Comput. Phys. Namkyeong Cho, Junseung Ryu, Hyung Ju Hwang
2026	J	`jnl`	Offline Data-Driven Recommender Systems for Improving Small Business Marketing Strategies. Big Data Hwijae Son, Sung Woong Cho, Hyung Ju Hwang
2026	J	`jnl`	SoFoNO: Arbitrary-scale image super-resolution via Sobolev Fourier neural operator. Neurocomputing Jong Kwon Oh, Hwijae Son, Hyung Ju Hwang, Jihyong Oh
2025	J	`jnl`	A Neural Operator Unifying Graph Neural Networks and Point Transformers. IEEE Access Junseung Ryu, Namkyeong Cho, Hyung Ju Hwang
2025	J	`jnl`	A Physics-Informed Neural Network framework for solving PDEs on point clouds via surface reconstruction. Neural Networks Junseung Ryu, Seungtae Park, Hyung Ju Hwang
2025	J	`jnl`	Enhancing Fourier Neural Operators with CNNs architectures: Pooling, groupwise convolution and inverted block. Neurocomputing Seungtae Park, Heejoon Jeon, Hyung Ju Hwang
2025	J	`jnl`	FourierSpecNet: Neural Collision Operator Approximation Inspired by the Fourier Spectral Method for Solving the Boltzmann Equation. CoRR Jae Yong Lee, Gwang Jae Jung, Byung Chan Lim, Hyung Ju Hwang
2025	J	`jnl`	Learning from Imperfect Data: Robust Inference of Dynamic Systems using Simulation-based Generative Model. CoRR Hyunwoo Cho, Hyeontae Jo, Hyung Ju Hwang
2025	J	`jnl`	Self-Supervised Drift-Resilient Classification for Time Series Industrial Anomaly Detection. IEEE Access Myung-Kyo Seo, Byeong Hoon Yoon, Junseung Ryu, Hyung Ju Hwang
2025	J	`jnl`	Sobolev training for operator learning. J. Comput. Phys. Namkyeong Cho, Junseung Ryu, Hyung Ju Hwang
2024	J	`jnl`	Density physics-informed neural networks reveal sources of cell heterogeneity in signal transduction. Patterns Hyeontae Jo, Hyukpyo Hong, Hyung Ju Hwang, Won Chang, Jae Kyoung Kim
2024	J	`jnl`	Estimating the Distribution of Parameters in Differential Equations with Repeated Cross-Sectional Data. CoRR Hyeontae Jo, Sung Woong Cho, Hyung Ju Hwang
2024	J	`jnl`	Estimating the distribution of parameters in differential equations with repeated cross-sectional data. PLoS Comput. Biol. Hyeontae Jo, Sung Woong Cho, Hyung Ju Hwang
2024	J	`jnl`	Estimation of System Parameters Including Repeated Cross-Sectional Data through Emulator-Informed Deep Generative Model. CoRR Hyunwoo Cho, Sung Woong Cho, Hyeontae Jo, Hyung Ju Hwang
2024	J	`jnl`	Learning time-dependent PDE via graph neural networks and deep operator network for robust accuracy on irregular grids. CoRR Sung Woong Cho, Jae Yong Lee, Hyung Ju Hwang
2024	J	`jnl`	Pseudo-Differential Neural Operator: Generalize Fourier Neural operator for Learning Solution Operators of Partial Differential Equations. Trans. Mach. Learn. Res. Jinyoung Shin, Jae Yong Lee, Hyung Ju Hwang
2024	J	`jnl`	Sobolev Training for Operator Learning. CoRR Namkyeong Cho, Junseung Ryu, Hyung Ju Hwang
2024	A	`conf`	Solving PDEs on Point Clouds by Physics-Informed Learning with Graph Neural Networks. ECAI Rakhoon Hwang, Junseung Ryu, Seungtae Park, Hyung Ju Hwang
2023	J	`jnl`	Anomaly Detection in Time Series Data and its Application to Semiconductor Manufacturing. IEEE Access Rakhoon Hwang, Seungtae Park, Youngwook Bin, Hyung Ju Hwang
2023	J	`jnl`	Concept-Oriented Self-Explaining Neural Networks. Neural Process. Lett. Min Sue Park, Hyung Ju Hwang
2023	J	`jnl`	Enhanced physics-informed neural networks with Augmented Lagrangian relaxation method (AL-PINNs). Neurocomputing Hwijae Son, Sung Woong Cho, Hyung Ju Hwang
2023	A*	`conf`	HyperDeepONet: learning operator with complex target function space using the limited resources via hypernetwork. ICLR Jae Yong Lee, Sung Woong Cho, Hyung Ju Hwang
2023	J	`jnl`	HyperDeepONet: learning operator with complex target function space using the limited resources via hypernetwork. CoRR Jae Yong Lee, Sung Woong Cho, Hyung Ju Hwang
2023	J	`jnl`	Physics-Informed Neural Networks for Microprocessor Thermal Management Model. IEEE Access Hwijae Son, Hyunwoo Cho, Hyung Ju Hwang
2023	J	`jnl`	The deep minimizing movement scheme. J. Comput. Phys. Min Sue Park, Cheolhyeong Kim, Hwijae Son, Hyung Ju Hwang
2023	J	`jnl`	opPINN: Physics-informed neural network with operator learning to approximate solutions to the Fokker-Planck-Landau equation. J. Comput. Phys. Jae Yong Lee, Juhi Jang, Hyung Ju Hwang
2022	J	`jnl`	AL-PINNs: Augmented Lagrangian relaxation method for Physics-Informed Neural Networks. CoRR Hwijae Son, Sung Woong Cho, Hyung Ju Hwang
2022	J	`jnl`	Local Stability of Wasserstein GANs With Abstract Gradient Penalty. IEEE Trans. Neural Networks Learn. Syst. Cheolhyeong Kim, Seungtae Park, Hyung Ju Hwang
2022	J	`jnl`	NEAR: Neighborhood Edge AggregatoR for Graph Classification. ACM Trans. Intell. Syst. Technol. Cheolhyeong Kim, Haeseong Moon, Hyung Ju Hwang
2022	J	`jnl`	Option compatible reward inverse reinforcement learning. Pattern Recognit. Lett. Rakhoon Hwang, Hanjin Lee, Hyung Ju Hwang
2022	J	`jnl`	Prior preference learning from experts: Designing a reward with active inference. Neurocomputing Jinyoung Shin, Cheolhyeong Kim, Hyung Ju Hwang
2022	J	`jnl`	Pseudo-Differential Integral Operator for Learning Solution Operators of Partial Differential Equations. CoRR Jinyoung Shin, Jae Yong Lee, Hyung Ju Hwang
2022	A*	`conf`	Solving PDE-Constrained Control Problems Using Operator Learning. AAAI Rakhoon Hwang, Jae Yong Lee, Jinyoung Shin, Hyung Ju Hwang
2022	J	`jnl`	opPINN: Physics-Informed Neural Network with operator learning to approximate solutions to the Fokker-Planck-Landau equation. CoRR Jae Yong Lee, Juhi Jang, Hyung Ju Hwang
2021	J	`jnl`	Development of patients triage algorithm from nationwide COVID-19 registry data based on machine learning. CoRR Hyung Ju Hwang, Seyoung Jung, Min Sue Park, Hyeontae Jo
2021	J	`jnl`	Explainability of Machine Learning Models for Bankruptcy Prediction. IEEE Access Min Sue Park, Hwijae Son, Chongseok Hyun, Hyung Ju Hwang
2021	J	`jnl`	Lagrangian dual framework for conservative neural network solutions of kinetic equations. CoRR Hyung Ju Hwang, Hwijae Son
2021	A	`conf`	Posting Bot Detection on Blockchain-based Social Media Platform using Machine Learning Techniques. ICWSM Taehyun Kim, Hyomin Shin, Hyung Ju Hwang, Seungwon Jeong
2021	J	`jnl`	Prior Preference Learning from Experts: Designing a Reward with Active Inference. CoRR Jinyoung Shin, Cheolhyeong Kim, Hyung Ju Hwang
2021	J	`jnl`	Sobolev Training for the Neural Network Solutions of PDEs. CoRR Hwijae Son, Jin Woo Jang, Woo Jin Han, Hyung Ju Hwang
2021	J	`jnl`	Solving PDE-constrained Control Problems using Operator Learning. CoRR Rakhoon Hwang, Jae Yong Lee, Jinyoung Shin, Hyung Ju Hwang
2021	J	`jnl`	The Deep Minimizing Movement Scheme. CoRR Hyung Ju Hwang, Cheolhyeong Kim, Min Sue Park, Hwijae Son
2021	J	`jnl`	Traveling Wave Solutions of Partial Differential Equations Via Neural Networks. J. Sci. Comput. Sung Woong Cho, Hyung Ju Hwang, Hwijae Son
2021	J	`jnl`	Traveling Wave Solutions of Partial Differential Equations via Neural Networks. CoRR Sung Woong Cho, Hyung Ju Hwang, Hwijae Son
2020	J	`jnl`	Deep neural network approach to forward-inverse problems. Networks Heterog. Media Hyeontae Jo, Hwijae Son, Hyung Ju Hwang, Eun Heui Kim
2020	J	`jnl`	Hybrid Model of Mathematical and Neural Network Formulations for Rolling Force and Temperature Prediction in Hot Rolling Processes. IEEE Access Rakhoon Hwang, Hyeontae Jo, Kyung Seok Kim, Hyung Ju Hwang
2020	J	`jnl`	Posting Bot Detection on Blockchain-based Social Media Platform using Machine Learning Techniques. CoRR Taehyun Kim, Hyomin Shin, Hyung Ju Hwang, Seungwon Jeong
2020	J	`jnl`	The model reduction of the Vlasov-Poisson-Fokker-Planck system to the Poisson-Nernst-Planck system via the Deep Neural Network Approach. CoRR Jae Yong Lee, Jin Woo Jang, Hyung Ju Hwang
2020	J	`jnl`	Trend to equilibrium for the kinetic Fokker-Planck equation via the neural network approach. J. Comput. Phys. Hyung Ju Hwang, Jin Woo Jang, Hyeontae Jo, Jae Yong Lee
2019	J	`jnl`	Data analytic approach for bankruptcy prediction. Expert Syst. Appl. Hwijae Son, C. Hyun, Du Phan, Hyung Ju Hwang
2019	J	`jnl`	Deep Neural Network Approach to Forward-Inverse Problems. CoRR Hyeontae Jo, Hwijae Son, Hyung Ju Hwang, Eunheui Kim
2019	J	`jnl`	NEAR: Neighborhood Edge AggregatoR for Graph Classification. CoRR Cheolhyeong Kim, Haeseong Moon, Hyung Ju Hwang
2019	J	`jnl`	Option Compatible Reward Inverse Reinforcement Learning. CoRR Rakhoon Hwang, Hanjin Lee, Hyung Ju Hwang
2019	J	`jnl`	Trend to Equilibrium for the Kinetic Fokker-Planck Equation via the Neural Network Approach. CoRR Hyung Ju Hwang, Jin Woo Jang, Hyeontae Jo, Jae Yong Lee
2018	J	`jnl`	Local Stability and Performance of Simple Gradient Penalty mu-Wasserstein GAN. CoRR Cheolhyeong Kim, Seungtae Park, Hyung Ju Hwang
2018	J	`jnl`	The Fokker-Planck Equation with Absorbing Boundary Conditions in Bounded Domains. SIAM J. Math. Anal. Hyung Ju Hwang, Juhi Jang, Jaewoo Jung
2016	J	`jnl`	Stability, Instability, and Bifurcation in Electrified Thin Films. SIAM J. Math. Anal. Marco A. Fontelos, Hyung Ju Hwang, Youngmin Oh
2015	J	`jnl`	Stationary Solutions of the Vlasov-Poisson System with Diffusive Boundary Conditions. J. Nonlinear Sci. Emre Esentürk, Hyung Ju Hwang, Walter A. Strauss
2013	J	`jnl`	Capillary oscillations at a circular orifice. Appl. Math. Lett. Hyeon Jeong Kim, Marco A. Fontelos, Hyung Ju Hwang
2007	J	`jnl`	Erratum: "Global Solutions of Nonlinear Transport Equations for Chemosensitive Movement" [SIAM J. Math. Analysis 36 (2005) 1177-1199]. SIAM J. Math. Anal. Hyung Ju Hwang, Kyungkeun Kang, Angela Stevens
2005	J	`jnl`	Global Solutions of Nonlinear Transport Equations for Chemosensitive Movement. SIAM J. Math. Anal. Hyung Ju Hwang, Kyungkeun Kang, Angela Stevens
2004	J	`jnl`	Regularity for the Vlasov-Poisson System in a Convex Domain. SIAM J. Math. Anal. Hyung Ju Hwang