Journals
Point-wise Conditional Diffusion Models for Physical Systems with Shape Variations: Applications to Spatio-temporal and Large-scale Systems
Physics-Constrained Graph Neural Networks for Spatio-Temporal Prediction of Drop Impact on OLED Display Panels
International Conferences
Point-based Diffusion Model for Predicting Spatio-Temporal Dynamics in Physical Systems
Design Optimization of OLED Display Panels for Drop Impact Resistance Using A Graph Neural Network
Korean Conferences
Jiyong Kim, Seokjun Kim, Namwoo Kang* (2026). Constraint-Aware Large-Scale 3D Layout Optimization via Hybrid Deep Reinforcement Learning. KSME 2026 Spring (Poster).
Soyoung Yoo, Jiyong Kim, Leekyo Jeong, Wonjae Jang, Namwoo Kang* (2025). From Idea to Engineering-Aware Product Design: A Case Study of Toy Car Development. KSME 2025 Fall.
Jiyong Kim, Seokjun Kim, Sanghoon Jin, Yubin Lee, Namwoo Kang* (2025). Safe Reinforcement Learning for 3D Large Scale Constrained Layout Optimization. KSME 2025 Fall (🏆Best Paper Award).
Jiyong Kim, Sunwoong Yang, Namwoo Kang* (2025). Point-based Diffusion Model for Predicting 2D Spatio-Temporal and 3D Large-Scale Physical Systems with Shape Variations. KSME 2025 Spring.
Jiyong Kim, Sunwoong Yang, Namwoo Kang* (2024). Comparative Study of Spatiotemporal Prediction Performance in 2D Cylinder Fluid Flow: Meshgraphnet vs Neural Implicit Representation. KSME 2024 Fall (Poster).
Jiyong Kim, Namwoo Kang* (2024). A Hypergraph Neural Network-Based Surrogate Model for Predicting the Durability of OLED Displays under Drop Impact. KSME 2024 Spring.
Jiyong Kim, Namwoo Kang* (2023). Impact Analysis using Graph Neural Networks and Node-Element Hypergraph. KSME 2023 Spring.
Jiyong Kim, Ungki Lee, Yongmin Kwon, Namwoo Kang* (2022). Large-scale Layout Optimization for Chemical Plant. KSME 2022 Fall.
Jiyong Kim, Ungki Lee, Minyoung Jwa, Namwoo Kang* (2022). Machine Learning-based Crashworthiness Prediction and Sensitivity Analysis. KSME 2022 Spring (Poster).