Hugh Xuechen, Liu

“Study hard what interests you the most in the most undisciplined, irreverent and original manner possible.” — Richard Feynman

Interdisciplinary researcher using emerging technologies to create meaningful experiences for people.

Currently, my research explores game studies knowledge discovery, completion, and utilization through AI/ML, with the aim of enabling explainable and accessible game design.

My ongoing work develops along three directions:

• Computationalizing Game Design Knowledge: Building AI-friendly knowledge bases of game design principles and patterns (ontologies, knowledge graphs, knowledge discovery).

• Explainable & Generative Game Development: Creating AI systems that transform high-level design intent (e.g., “make a platformer like Super Mario Bros.”) into interpretable, playable code in engines such as Godot.

• User-Centered AI for Games: Designing AI tools to support diverse users (designers, educators, domain experts) and purposes (creativity, education, health), ensuring accessibility and transparency.

#AI #GameDesign #ComputationalCreativity #LLM #GenerativeAI #HCI #KnowledgeGraph #Neo4j #Godot #Blockchain #AR #ScienceViz #Gamification

“How could you describe this heart in words without filling a whole book?” — Leonardo da Vinci