Paper-Conference

Constraint-Aware Large-Scale 3D Layout Optimization via Hybrid Deep Reinforcement Learning

Safe Reinforcement Learning for 3D Large Scale Constrained Layout Optimization

From Idea to Engineering-Aware Product Design: A Case Study of Toy Car Development

Point-based Diffusion Model for Predicting Spatio-Temporal Dynamics in Physical Systems

Point-based Diffusion Model for Predicting 2D Spatio-Temporal and 3D Large-Scale Physical Systems with Shape Variations

Comparative Study of Spatiotemporal Prediction Performance in 2D Cylinder Fluid Flow: Meshgraphnet vs Neural Implicit Representation

Design Optimization of OLED Display Panels for Drop Impact Resistance Using A Graph Neural Network

A Hypergraph Neural Network-Based Surrogate Model for Predicting the Durability of OLED Displays under Drop Impact

Impact Analysis using Graph Neural Networks and Node-Element Hypergraph

Large-scale Layout Optimization for Chemical Plant