Minghao Guo
Graduate Student
Primary DLC
Department of Electrical Engineering and Computer Science
MIT Room:
32-321
Research Summary
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.