Namwoo Kang - RankMe

52 papers Journal 51

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Mesh-agnostic prediction of unsteady flow dynamics using graph U-Nets. Expert Syst. Appl. Sunwoong Yang, Ricardo Vinuesa, Namwoo Kang
2026	J	`jnl`	Point-Deeponet: Predicting nonlinear fields on non-Parametric geometries under variable load conditions. Neural Networks Jangseop Park, Namwoo Kang
2026	J	`jnl`	Three-dimensional geometric augmentation guided by engineering uncertainty. Eng. Appl. Artif. Intell. Yongmin Kwon, Namwoo Kang
2025	J	`jnl`	Decoupled Dynamics Framework with Neural Fields for 3D Spatio-temporal Prediction of Vehicle Collisions. CoRR Sanghyuk Kim, Minsik Seo, Namwoo Kang
2025	J	`jnl`	DeepWheel: Generating a 3D Synthetic Wheel Dataset for Design and Performance Evaluation. CoRR Soyoung Yoo, Namwoo Kang
2025	J	`jnl`	Estimation of Electromagnetic Field Strength: Experiments Using Vision Transformers. IEEE Access Doeon Kim, Dongryul Park, Jinbae Seo, Hyungchan Cho, Seungyoung Ahn, Namwoo Kang, Seongsin Kim
2025	J	`jnl`	Model-agnostic AI framework with explicit time integration for long-term fluid dynamics prediction. J. Comput. Des. Eng. Sunwoong Yang, Ricardo Vinuesa, Namwoo Kang
2025	J	`jnl`	Modular Mechanism Design Optimization in Large-Scale Systems with Manufacturing Cost Considerations. CoRR Sumin Lee, Namwoo Kang
2025	J	`jnl`	Multi-objective generative design framework and realization for quasi-serial manipulator: Considering kinematic and dynamic performance. Eng. Appl. Artif. Intell. Sumin Lee, Sunwoong Yang, Namwoo Kang
2025	J	`jnl`	Physics-Guided Multi-Fidelity DeepONet for Data-Efficient Flow Field Prediction. CoRR Sunwoong Yang, Youngkyu Lee, Namwoo Kang
2025	J	`jnl`	Physics-constrained graph neural networks for spatio-temporal prediction of drop impact on OLED display panels. Expert Syst. Appl. Jiyong Kim, Jangseop Park, Nayong Kim, Youn-Yeol Yu, Kiseok Chang, ChangSeung Woo, Sunwoong Yang, Namwoo Kang
2025	J	`jnl`	Projected variable three-term conjugate gradient algorithm for enhancing generalization performance in deep neural network training. Neurocomputing Sanghyuk Kim, Hansu Kim, Namwoo Kang, Tae Hee Lee
2025	J	`jnl`	PyTopo3D: A Python Framework for 3D SIMP-based Topology Optimization. CoRR Jihoon Kim, Namwoo Kang
2025	J	`jnl`	Three-dimensional Deep Shape Optimization with a Limited Dataset. CoRR Yongmin Kwon, Namwoo Kang
2025	J	`jnl`	Three-dimensional deep shape optimization with a limited dataset. Eng. Appl. Artif. Intell. Yongmin Kwon, Namwoo Kang
2024	J	`jnl`	AI-powered Digital Twin of the Ocean: Reliable Uncertainty Quantification for Real-time Wave Height Prediction with Deep Ensemble. CoRR DongEon Lee, Sunwoong Yang, Jae-Won Oh, Su-Gil Cho, Sanghyuk Kim, Namwoo Kang
2024	J	`jnl`	BMO-GNN: Bayesian mesh optimization for graph neural networks to enhance engineering performance prediction. J. Comput. Des. Eng. Jangseop Park, Namwoo Kang
2024	J	`jnl`	Bayesian Mesh Optimization for Graph Neural Networks to Enhance Engineering Performance Prediction. CoRR Jangseop Park, Namwoo Kang
2024	J	`jnl`	Data-Driven Physics-Informed Neural Networks: A Digital Twin Perspective. CoRR Sunwoong Yang, Hojin Kim, Yoonpyo Hong, Kwanjung Yee, Romit Maulik, Namwoo Kang
2024	J	`jnl`	Deep Generative Design for Mass Production. CoRR Jihoon Kim, Yongmin Kwon, Namwoo Kang
2024	J	`jnl`	Deep Generative Model-based Synthesis of Four-bar Linkage Mechanisms with Target Conditions. CoRR Sumin Lee, Jihoon Kim, Namwoo Kang
2024	J	`jnl`	Deep generative model-based synthesis framework of four-bar linkage mechanisms with target conditions. J. Comput. Des. Eng. Sumin Lee, Jihoon Kim, Namwoo Kang
2024	J	`jnl`	DeepJEB: 3D Deep Learning-based Synthetic Jet Engine Bracket Dataset. CoRR Seongjun Hong, Yongmin Kwon, Dongju Shin, Jangseop Park, Namwoo Kang
2024	J	`jnl`	Enhancing Graph U-Nets for Mesh-Agnostic Spatio-Temporal Flow Prediction. CoRR Sunwoong Yang, Ricardo Vinuesa, Namwoo Kang
2024	J	`jnl`	Learning Design Preferences through Design Feature Extraction and Weighted Ensemble. CoRR Dongju Shin, Sunghee Lee, Namwoo Kang
2024	J	`jnl`	Multi-objective Generative Design Framework and Realization for Quasi-serial Manipulator: Considering Kinematic and Dynamic Performance. CoRR Sumin Lee, Sunwoong Yang, Namwoo Kang
2024	J	`jnl`	Point-DeepONet: A Deep Operator Network Integrating PointNet for Nonlinear Analysis of Non-Parametric 3D Geometries and Load Conditions. CoRR Jangseop Park, Namwoo Kang
2024	J	`jnl`	Towards Robust Spatio-Temporal Auto-Regressive Prediction: Adams-Bashforth Time Integration with Adaptive Multi-Step Rollout. CoRR Sunwoong Yang, Ricardo Vinuesa, Namwoo Kang
2024	J	`jnl`	Vehicle Suspension Recommendation System: Multi-Fidelity Neural Network-based Mechanism Design Optimization. CoRR Sumin Lee, Namwoo Kang
2024	J	`jnl`	Weighted unsupervised domain adaptation considering geometry features and engineering performance of 3D design data. Expert Syst. Appl. Seungyeon Shin, Namwoo Kang
2023	J	`jnl`	Adaptive neural network ensemble using prediction frequency. J. Comput. Des. Eng. Ungki Lee, Namwoo Kang
2023	J	`jnl`	Performance Comparison of Design Optimization and Deep Learning-based Inverse Design. CoRR Minyoung Jwa, Jihoon Kim, Seungyeon Shin, Ah-hyeon Jin, Dongju Shin, Namwoo Kang
2023	J	`jnl`	Topology optimization via machine learning and deep learning: a review. J. Comput. Des. Eng. Seungyeon Shin, Dongju Shin, Namwoo Kang
2023	J	`jnl`	Weighted Unsupervised Domain Adaptation Considering Geometry Features and Engineering Performance of 3D Design Data. CoRR Seungyeon Shin, Namwoo Kang
2022	J	`jnl`	Adaptive Neural Network Ensemble Using Frequency Distribution. CoRR Ungki Lee, Namwoo Kang
2022	J	`jnl`	Deep Learning-Based Inverse Design for Engineering Systems: Multidisciplinary Design Optimization of Automotive Brakes. CoRR Seongsin Kim, Minyoung Jwa, Soonwook Lee, Sunghoon Park, Namwoo Kang
2022	J	`jnl`	Generative Design by Reinforcement Learning: Enhancing the Diversity of Topology Optimization Designs. Comput. Aided Des. Seowoo Jang, Soyoung Yoo, Namwoo Kang
2022	J	`jnl`	Safety monitoring system of personal mobility driving using deep learning. J. Comput. Des. Eng. Eunji Kim, Hanyoung Ryu, Hyunji Oh, Namwoo Kang
2022	J	`jnl`	Topology Optimization via Machine Learning and Deep Learning: A Review. CoRR Seungyeon Shin, Dongju Shin, Namwoo Kang
2022	J	`jnl`	Wheel Impact Test by Deep Learning: Prediction of Location and Magnitude of Maximum Stress. CoRR Seungyeon Shin, Ah-hyeon Jin, Soyoung Yoo, Sunghee Lee, ChangGon Kim, Sungpil Heo, Namwoo Kang
2021	J	`jnl`	Explainable artificial intelligence for manufacturing cost estimation and machining feature visualization. Expert Syst. Appl. Soyoung Yoo, Namwoo Kang
2020	J	`jnl`	A Study on Anxiety about Using Robo-taxis: HMI Design for Anxiety Factor Analysis and Anxiety Relief Based on Field Tests. CoRR Soyoung Yoo, Sunghee Lee, Seongsin Kim, Eunji Kim, Hwan Hwangbo, Namwoo Kang
2020	J	`jnl`	Autonomous Taxi Service Design and User Experience. Int. J. Hum. Comput. Interact. Sangwon Kim, Jennifer Jah Eun Chang, Hyun Ho Park, Seon Uk Song, Chang Bae Cha, Ji Won Kim, Namwoo Kang
2020	J	`jnl`	Explainable Artificial Intelligence for Manufacturing Cost Estimation and Machining Feature Visualization. CoRR Soyoung Yoo, Namwoo Kang
2020	J	`jnl`	Generative Design by Reinforcement Learning: Maximizing Diversity of Topology Optimized Designs. CoRR Seowoo Jang, Namwoo Kang
2020	J	`jnl`	Idle Vehicle Relocation Strategy through Deep Learning for Shared Autonomous Electric Vehicle System Optimization. CoRR Seongsin Kim, Ungki Lee, Ikjin Lee, Namwoo Kang
2020	J	`jnl`	Integrating Deep Learning into CAD/CAE System: Case Study on Road Wheel Design Automation. CoRR Soyoung Yoo, Sunghee Lee, Seongsin Kim, Kwang Hyeon Hwang, Jong Ho Park, Namwoo Kang
2020	J	`jnl`	The Effect of Robo-taxi User Experience on User Acceptance: Field Test Data Analysis. CoRR Sunghee Lee, Soyoung Yoo, Seongsin Kim, Eunji Kim, Namwoo Kang
2019	J	`jnl`	Form + Function: Optimizing Aesthetic Product Design via Adaptive, Geometrized Preference Elicitation. CoRR Namwoo Kang, Yi Ren, Fred M. Feinberg, Panos Y. Papalambros
2019	J	`jnl`	Generative Design Exploration by Integrating Deep Generative Models and Topology Optimization. CoRR Sangeun Oh, Yongsu Jung, Seongsin Kim, Ikjin Lee, Namwoo Kang
2014	—	`—`	Multidomain Demand Modeling in Design for Market Systems. Namwoo Kang
2007	J	`jnl`	Integration of marketing domain and R&D domain in NPD design process. Ind. Manag. Data Syst. Namwoo Kang, Junyoung Kim, Yongtae Park