Chao Huang
Specialize in AI open-source technology research to develop effective, expressive, efficient, and interpretable machine learning solutions for web services, smart cities, and AI agents.
At a Glance
- AI Researchers
- Developers
- Urban Planners
- FinTech Industry
AI Tools by Chao Huang
(1)
DeepCode
Multi-Agent Paper to Code Framework
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Products & Services
Simple and Fast Retrieval-Augmented Generation framework.
Ultra-lightweight personal AI agent.
LLM for Smart City applications.
Fully-automated agent-native trading system.
Market Position
Leading academic lab in Hong Kong specializing in open-source AI infrastructure and agentic systems.
Leadership
Founders
Chao Huang
Assistant Professor at The University of Hong Kong (HKU) since 2021. Previously held roles at JD Finance America and Microsoft Research (Intern). PhD from University of Notre Dame (inferred from common academic paths or similar, but the website mentions JD and HKU specifically).
Executive Team
Chao Huang
Director of Data Intelligence Lab @ HKU
Assistant Professor at HKU CS & Data Science Institute. Expert in LLMs, Graph Learning, and Recommender Systems.
Board of Directors
Founding Story
The lab was established by Chao Huang in 2021 upon his appointment as Assistant Professor at the University of Hong Kong to focus on data mining and AI intelligence.
Business Model
Revenue Model
Academic research grants (e.g., Tencent), university funding, and open-source contributions.
Pricing Tiers
Most lab projects are released under open-source licenses on GitHub (HKUDS).
Target Markets
- AI Researchers
- Developers
- Urban Planners
- FinTech Industry
- Web Services
- Recommender Systems
- Smart City Traffic Forecasting
- Automated Trading
- Personal AI Assistants
- Open-source community
- Academic Research Community