Chao Huang

Chao Huang is an Assistant Professor at the Department of Computer Science and Institute of Data Science at the University of Hong Kong (HKU). As the director of the Data Intelligence Lab@HKU, his research focuses on Large Language Models (LLMs), LLM Agents, Graph Learning, Recommender Systems, and AI for Smart Cities. He holds a PhD from the University of Notre Dame.

Education: PhD in Computer Science from University of Notre Dame (USA).

Research Interests: His work bridges machine learning with practical applications, including:

• Developing advanced LLM frameworks like GraphGPT and UrbanGPT
• Creating automated research tools (AutoAgent, AI-Researcher)
• Designing recommendation systems with LLM integration (RLMRec, LLMRec)
• Exploring spatio-temporal AI for urban challenges

Notable Achievements: Over 11,000 Google Scholar citations (h-index 55), multiple top conference awards (WWW/SIGIR/KDD), and open-source projects with thousands of GitHub stars. His work has been recognized as most influential/pioneering in major AI conferences.

Labs/Teams: Leads the Data Intelligence Lab, collaborating on projects like LightRAG, MiniRAG, and VideoRAG. The lab emphasizes open-source contributions with repositories on GitHub.

Grants/Advising: Supervises PhD/MPhil students and offers research internships. Active in recruiting motivated researchers and students through HKU's programs.