Youngsoo Choi - RankMe

83 papers A* 1C 2Journal 78Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Reduced Order Model approach for First-Principles Molecular Dynamics Computations. CoRR Siu Wun Cheung, Youngsoo Choi, Jean-Luc Fattebert, Jonas Kaufman, Daniel Osei-Kuffuor
2026	J	`jnl`	Hyper-reduction methods for accelerating nonlinear finite element simulations: open source implementation and reproducible benchmarks. CoRR Axel Larsson, Minji Kim, Chris Vales, Sigrid Adriaenssens, Dylan Matthew Copeland, Youngsoo Choi, Siu Wun Cheung
2026	J	`jnl`	Integrated validation framework for EDR data reliability: Application to Korean traffic accident cases. Forensic Sci. Int. Digit. Investig. Youngsoo Choi, Jongjin Park, Seung-Hyun Kong
2026	J	`jnl`	Latent Space Element Method. CoRR Seung Whan Chung, Youngsoo Choi, Christopher Miller, H. Keo Springer, Kyle T. Sullivan
2026	J	`jnl`	Local reduced-order modeling for electrostatic plasmas by physics-informed solution manifold decomposition. Comput. Phys. Commun. Ping-Hsuan Tsai, Seung Whan Chung, Debojyoti Ghosh, John Loffeld, Youngsoo Choi, Jonathan L. Belof
2026	J	`jnl`	Robust video-based vehicle speed estimation for occluded scenes for forensic analysis of traffic accidents. Multim. Tools Appl. Youngsoo Choi, Seung-Hyun Kong
2026	J	`jnl`	Theory and numerics of subspace approximation of eigenvalue problems. Appl. Math. Comput. Siu Wun Cheung, Youngsoo Choi, Seung Whan Chung, Jean-Luc Fattebert, Coleman Kendrick, Daniel Osei-Kuffuor
2026	J	`jnl`	Thermodynamically Consistent Latent Dynamics Identification for Parametric Systems. Trans. Mach. Learn. Res. Xiaolong He, Yeonjong Shin, Anthony Gruber, Sohyeon Jung, Kookjin Lee, Youngsoo Choi
2025	J	`jnl`	Defining Foundation Models for Computational Science: A Call for Clarity and Rigor. CoRR Youngsoo Choi, Siu Wun Cheung, Youngkyu Kim, Ping-Hsuan Tsai, Alejandro N. Diaz, Ivan Zanardi, Seung Whan Chung, Dylan Matthew Copeland, Coleman Kendrick, William Anderson, Traian Iliescu, Matthias Heinkenschloss
2025	J	`jnl`	Higher-Order LaSDI: Reduced Order Modeling with Multiple Time Derivatives. CoRR Robert Stephany, William Michael Anderson, Youngsoo Choi
2025	J	`jnl`	Machine-precision energy conservative quadrature hyperreduction of Lagrangian hydrodynamics. CoRR Chris Vales, Siu Wun Cheung, Dylan Matthew Copeland, Youngsoo Choi
2025	J	`jnl`	Model Order Reduction for Quantum Molecular Dynamics. CoRR Siu Wun Cheung, Youngsoo Choi, Jean-Luc Fattebert, Daniel Osei-Kuffuor
2025	J	`jnl`	Offline Maximizing Minimally Invasive Proper Orthogonal Decomposition for Reduced Order Modeling of S CoRR Quincy A. Huhn, Jean C. Ragusa, Youngsoo Choi
2025	J	`jnl`	Rollout-LaSDI: Enhancing the long-term accuracy of Latent Space Dynamics. CoRR Robert Stephany, Youngsoo Choi
2025	J	`jnl`	Sequential decoder training for improved latent space dynamics identification. CoRR William Anderson, Seung Whan Chung, Youngsoo Choi
2025	J	`jnl`	Thermodynamically Consistent Latent Dynamics Identification for Parametric Systems. CoRR Xiaolong He, Yeonjong Shin, Anthony Gruber, Sohyeon Jung, Kookjin Lee, Youngsoo Choi
2025	J	`jnl`	mLaSDI: Multi-stage latent space dynamics identification. CoRR William Anderson, Seung Whan Chung, Youngsoo Choi
2024	J	`jnl`	A Comprehensive Review of Latent Space Dynamics Identification Algorithms for Intrusive and Non-Intrusive Reduced-Order-Modeling. CoRR Christophe Bonneville, Xiaolong He, April Tran, Jun Sur Richard Park, William Fries, Daniel A. Messenger, Siu Wun Cheung, Yeonjong Shin, David M. Bortz, Debojyoti Ghosh, Jiun-Shyan Chen, Jonathan L. Belof, Youngsoo Choi
2024	J	`jnl`	Data-Driven, Parameterized Reduced-order Models for Predicting Distortion in Metal 3D Printing. CoRR Indu Kant Deo, Youngsoo Choi, Saad A. Khairallah, Alexandre Reikher, Maria Strantza
2024	J	`jnl`	Data-driven Virtual Test-bed of the Blown Powder Directed Energy Deposition Process. CoRR Michael Juhasz, Eric B. Chin, Youngsoo Choi, Joseph T. McKeown, Saad A. Khairallah
2024	J	`jnl`	Physics-informed active learning with simultaneous weak-form latent space dynamics identification. CoRR Xiaolong He, April Tran, David M. Bortz, Youngsoo Choi
2024	J	`jnl`	Physics-informed reduced order model with conditional neural fields. CoRR Minji Kim, Tianshu Wen, Kookjin Lee, Youngsoo Choi
2024	J	`jnl`	Quantifying Qualitative Insights: Leveraging LLMs to Market Predict. CoRR Hoyoung Lee, Youngsoo Choi, Yuhee Kwon
2024	J	`jnl`	S-OPT: A Points Selection Algorithm for Hyper-Reduction in Reduced Order Models. SIAM J. Sci. Comput. Jessica T. Lauzon, Siu Wun Cheung, Yeonjong Shin, Youngsoo Choi, Dylan Matthew Copeland, Kevin Huynh
2024	J	`jnl`	Scalable nonlinear manifold reduced order model for dynamical systems. CoRR Ivan Zanardi, Alejandro N. Diaz, Seung Whan Chung, Marco Panesi, Youngsoo Choi
2024	J	`jnl`	Scalable physics-guided data-driven component model reduction for steady Navier-Stokes flow. CoRR Seung Whan Chung, Youngsoo Choi, Pratanu Roy, Thomas Roy, Tiras Y. Lin, Du T. Nguyen, Christopher Hahn, Eric B. Duoss, Sarah E. Baker
2024	J	`jnl`	Scaled-up prediction of steady Navier-Stokes equation with component reduced order modeling. CoRR Seung Whan Chung, Youngsoo Choi, Pratanu Roy, Thomas Roy, Tiras Y. Lin, Du T. Nguyen, Christopher Hahn, Eric B. Duoss, Sarah E. Baker
2024	J	`jnl`	Theory and numerics of subspace approximation of eigenvalue problems. CoRR Siu Wun Cheung, Youngsoo Choi, Seung Whan Chung, Jean-Luc Fattebert, Coleman Kendrick, Daniel Osei-Kuffuor
2024	J	`jnl`	Train Small, Model Big: Scalable Physics Simulators via Reduced Order Modeling and Domain Decomposition. CoRR Seung Whan Chung, Youngsoo Choi, Pratanu Roy, Thomas Moore, Thomas Roy, Tiras Y. Lin, Du Y. Nguyen, Christopher Hahn, Eric B. Duoss, Sarah E. Baker
2024	J	`jnl`	tLaSDI: Thermodynamics-informed latent space dynamics identification. CoRR Jun Sur Richard Park, Siu Wun Cheung, Youngsoo Choi, Yeonjong Shin
2023	J	`jnl`	A Data-Driven, Non-Linear, Parameterized Reduced Order Model of Metal 3D Printing. CoRR Aaron L. Brown, Eric B. Chin, Youngsoo Choi, Saad A. Khairallah, Joseph T. McKeown
2023	—	`conf`	A Novel Approach for Estimating Vehicle Speed in Nighttime Traffic Accidents from Daytime Video Information. ITSC Youngsoo Choi, Yongmun Yun, Woo-Jeong Jeon, Seung-Hyun Kong
2023	J	`jnl`	A fast and accurate domain-decomposition nonlinear manifold reduced order model. CoRR Alejandro N. Diaz, Youngsoo Choi, Matthias Heinkenschloss
2023	J	`jnl`	Accelerating Flow Simulations using Online Dynamic Mode Decomposition. CoRR Seung-Won Suh, Seung Whan Chung, Peer-Timo Bremer, Youngsoo Choi
2023	J	`jnl`	Accelerating Kinetic Simulations of Electrostatic Plasmas with Reduced-Order Modeling. CoRR Ping-Hsuan Tsai, Seung Whan Chung, Debojyoti Ghosh, John Loffeld, Youngsoo Choi, Jonathan L. Belof
2023	J	`jnl`	Data-Driven Autoencoder Numerical Solver with Uncertainty Quantification for Fast Physical Simulations. CoRR Christophe Bonneville, Youngsoo Choi, Debojyoti Ghosh, Jonathan L. Belof
2023	J	`jnl`	Data-scarce surrogate modeling of shock-induced pore collapse process. CoRR Siu Wun Cheung, Youngsoo Choi, H. Keo Springer, Teeratorn Kadeethum
2023	J	`jnl`	Epistemic Uncertainty-Aware Barlow Twins Reduced Order Modeling for Nonlinear Contact Problems. IEEE Access Teeratorn Kadeethum, John D. Jakeman, Youngsoo Choi, Nikolaos Bouklas, Hongkyu Yoon
2023	J	`jnl`	GPLaSDI: Gaussian Process-based Interpretable Latent Space Dynamics Identification through Deep Autoencoder. CoRR Christophe Bonneville, Youngsoo Choi, Debojyoti Ghosh, Jonathan L. Belof
2023	J	`jnl`	Local Lagrangian reduced-order modeling for the Rayleigh-Taylor instability by solution manifold decomposition. J. Comput. Phys. Siu Wun Cheung, Youngsoo Choi, Dylan Matthew Copeland, Kevin Huynh
2023	J	`jnl`	Nonlinear-manifold reduced order models with domain decomposition. CoRR Alejandro N. Diaz, Youngsoo Choi, Matthias Heinkenschloss
2023	J	`jnl`	On the implementation of a quasi-Newton interior-point method for PDE-constrained optimization using finite element discretizations. Optim. Methods Softw. Cosmin G. Petra, Miguel A. Salazar de Troya, Noemi Petra, Youngsoo Choi, Geoffrey M. Oxberry, Daniel A. Tortorelli
2023	J	`jnl`	Parametric dynamic mode decomposition for reduced order modeling. J. Comput. Phys. Quincy A. Huhn, Mauricio E. Tano, Jean C. Ragusa, Youngsoo Choi
2023	J	`jnl`	Progressive reduced order modeling: empowering data-driven modeling with selective knowledge transfer. CoRR Teeratorn Kadeethum, Daniel O'Malley, Youngsoo Choi, Hari S. Viswanathan, Hongkyu Yoon
2023	J	`jnl`	Reduced-order modeling for parameterized PDEs via implicit neural representations. CoRR Tianshu Wen, Kookjin Lee, Youngsoo Choi
2023	J	`jnl`	Weak-Form Latent Space Dynamics Identification. CoRR April Tran, Xiaolong He, Daniel A. Messenger, Youngsoo Choi, David M. Bortz
2023	J	`jnl`	gLaSDI: Parametric physics-informed greedy latent space dynamics identification. J. Comput. Phys. Xiaolong He, Youngsoo Choi, William D. Fries, Jonathan L. Belof, Jiun-Shyan Chen
2022	J	`jnl`	A fast and accurate physics-informed neural network reduced order model with shallow masked autoencoder. J. Comput. Phys. Youngkyu Kim, Youngsoo Choi, David P. Widemann, Tarek I. Zohdi
2022	J	`jnl`	Certified data-driven physics-informed greedy auto-encoder simulator. CoRR Xiaolong He, Youngsoo Choi, William D. Fries, Jonathan L. Belof, Jiun-Shyan Chen
2022	J	`jnl`	Continuous conditional generative adversarial networks for data-driven solutions of poroelasticity with heterogeneous material properties. Comput. Geosci. Teeratorn Kadeethum, Daniel O'Malley, Youngsoo Choi, Hari S. Viswanathan, Nikolaos Bouklas, Hongkyu Yoon
2022	J	`jnl`	LaSDI: Parametric Latent Space Dynamics Identification. CoRR William Fries, Xiaolong He, Youngsoo Choi
2022	J	`jnl`	Local Lagrangian reduced-order modeling for Rayleigh-Taylor instability by solution manifold decomposition. CoRR Siu Wun Cheung, Youngsoo Choi, Dylan Matthew Copeland, Kevin Huynh
2022	J	`jnl`	Parametric Dynamic Mode Decomposition for Reduced Order Modeling. CoRR Quincy A. Huhn, Mauricio E. Tano, Jean C. Ragusa, Youngsoo Choi
2022	J	`jnl`	Reduced order modeling with Barlow Twins self-supervised learning: Navigating the space between linear and nonlinear solution manifolds. CoRR Teeratorn Kadeethum, Francesco Ballarin, Daniel O'Malley, Youngsoo Choi, Nikolaos Bouklas, Hongkyu Yoon
2022	J	`jnl`	S-OPT: A Points Selection Algorithm for Hyper-Reduction in Reduced Order Models. CoRR Jessica T. Lauzon, Siu Wun Cheung, Yeonjong Shin, Youngsoo Choi, Dylan Matthew Copeland, Kevin Huynh
2022	J	`jnl`	Stress-constrained topology optimization of lattice-like structures using component-wise reduced order models. CoRR Sean McBane, Youngsoo Choi, Karen Willcox
2022	J	`jnl`	Using Conservation Laws to Infer Deep Learning Model Accuracy of Richtmyer-Meshkov Instabilities. CoRR Charles F. Jekel, Dane M. Sterbentz, Sylvie Aubry, Youngsoo Choi, Daniel A. White, Jonathan L. Belof
2022	J	`jnl`	gLaSDI: Parametric Physics-informed Greedy Latent Space Dynamics Identification. CoRR Xiaolong He, Youngsoo Choi, William D. Fries, Jon Belof, Jiun-Shyan Chen
2021	J	`jnl`	A framework for data-driven solution and parameter estimation of PDEs using conditional generative adversarial networks. CoRR Teeratorn Kadeethum, Daniel O'Malley, Jan Niklas Fuhg, Youngsoo Choi, Jonghyun Lee, Hari S. Viswanathan, Nikolaos Bouklas
2021	J	`jnl`	A framework for data-driven solution and parameter estimation of PDEs using conditional generative adversarial networks. Nat. Comput. Sci. Teeratorn Kadeethum, Daniel O'Malley, Jan Niklas Fuhg, Youngsoo Choi, Jonghyun Lee, Hari S. Viswanathan, Nikolaos Bouklas
2021	J	`jnl`	Continuous conditional generative adversarial networks for data-driven solutions of poroelasticity with heterogeneous material properties. CoRR Teeratorn Kadeethum, Dan O'Malley, Youngsoo Choi, Hari S. Viswanathan, Nikolaos Bouklas, Hongkyu Yoon
2021	J	`jnl`	Non-intrusive reduced order modeling of natural convection in porous media using convolutional autoencoders: comparison with linear subspace techniques. CoRR Teeratorn Kadeethum, Francesco Ballarin, Youngsoo Choi, Daniel O'Malley, Hongkyu Yoon, Nikolaos Bouklas
2021	J	`jnl`	Reduced order models for Lagrangian hydrodynamics. CoRR Dylan Matthew Copeland, Siu Wun Cheung, Kevin Huynh, Youngsoo Choi
2021	J	`jnl`	Space-time reduced order model for large-scale linear dynamical systems with application to Boltzmann transport problems. J. Comput. Phys. Youngsoo Choi, Peter Brown, William J. Arrighi, Robert W. Anderson, Kevin Huynh
2020	J	`jnl`	A fast and accurate physics-informed neural network reduced order model with shallow masked autoencoder. CoRR Youngkyu Kim, Youngsoo Choi, David P. Widemann, Tarek I. Zohdi
2020	J	`jnl`	Component-wise reduced order model lattice-type structure design. CoRR Sean McBane, Youngsoo Choi
2020	J	`jnl`	Domain-decomposition least-squares Petrov-Galerkin (DD-LSPG) nonlinear model reduction. CoRR Chi Hoang, Youngsoo Choi, Kevin Carlberg
2020	J	`jnl`	Efficient nonlinear manifold reduced order model. CoRR Youngkyu Kim, Youngsoo Choi, David P. Widemann, Tarek I. Zohdi
2020	J	`jnl`	Efficient space-time reduced order model for linear dynamical systems in Python using less than 120 lines of code. CoRR Youngkyu Kim, Karen May Wang, Youngsoo Choi
2020	J	`jnl`	Gradient-based constrained optimization using a database of linear reduced-order models. J. Comput. Phys. Youngsoo Choi, Gabriele Boncoraglio, Spenser Anderson, David Amsallem, Charbel Farhat
2020	J	`jnl`	SNS: A Solution-Based Nonlinear Subspace Method for Time-Dependent Model Order Reduction. SIAM J. Sci. Comput. Youngsoo Choi, Deshawn Coombs, Robert W. Anderson
2020	—	`conf`	Semantic-based quality of service management for real-time WebRTC streaming service. ISWC (Demos/Industry) Seikwon Kim, Sunwoo Nam, Youngsoo Choi, Hyowon Kim, Venugopal S. M, Chirag Kataria, Kodam Nagaraju, Surya Kumar, Eun Namgung
2019	J	`jnl`	Accelerating design optimization using reduced order models. CoRR Youngsoo Choi, Geoffrey Oxberry, Daniel A. White, Trenton Kirchdoerfer
2019	J	`jnl`	Space-Time Least-Squares Petrov-Galerkin Projection for Nonlinear Model Reduction. SIAM J. Sci. Comput. Youngsoo Choi, Kevin Carlberg
2019	J	`jnl`	Space-time reduced order model for large-scale linear dynamical systems with application to Boltzmann transport problems. CoRR Youngsoo Choi, Peter Brown, Bill Arrighi, Robert W. Anderson
2018	J	`jnl`	Conservative model reduction for finite-volume models. J. Comput. Phys. Kevin Carlberg, Youngsoo Choi, Syuzanna Sargsyan
2018	J	`jnl`	SNS: A Solution-based Nonlinear Subspace method for time-dependent nonlinear model order reduction. CoRR Youngsoo Choi, Deshawn Coombs, Robert W. Anderson
2017	J	`jnl`	Conservative model reduction for finite-volume models. CoRR Kevin Carlberg, Youngsoo Choi, Syuzanna Sargsyan
2017	J	`jnl`	Space-time least-squares Petrov-Galerkin projection for nonlinear model reduction. CoRR Youngsoo Choi, Kevin Carlberg
2015	J	`jnl`	A Practical Factorization of a Schur Complement for PDE-Constrained Distributed Optimal Control. J. Sci. Comput. Youngsoo Choi, Charbel Farhat, Walter Murray, Michael A. Saunders
2005	C	`conf`	Autonomous and Dependable Recovery Scheme in UPnP Network Settings. IDEAL Youngsoo Choi, Sanguk Noh, Kyunghee Choi, Gihyun Jung
2004	C	`conf`	An Intelligent Topic-Specific Crawler Using Degree of Relevance. IDEAL Sanguk Noh, Youngsoo Choi, Haesung Seo, Kyunghee Choi, Gihyun Jung
2001	A*	`conf`	The impact of if-conversion and branch prediction on program execution on the Intel Itanium processor. MICRO Youngsoo Choi, Allan D. Knies, Luke Gerke, Tin-Fook Ngai