Minghao Guo

Research focuses on addressing the challenges of scientific discovery and 3D content creation in data-sparse contexts, where the validity, functionality, and efficiency of generated results are paramount. Guo draws on insights from procedural modeling and geometry processing to develop fundamental representations and generative models - typically featuring the combination of discrete graphs with associated continuous parameters - which inherently enforce necessary constraints without excluding any valid solutions, ensuring both data efficiency and the preservation of critical properties.