Nan Tang

I am an associate professor at Data Science and Analytics Thrust, Information Hub, Hong Kong University of Science and Technology (Guangzhou). I also hold an affiliated position at Hong Kong University of Science and Technology, the Clear Water Bay campus at Hong Kong.

Before joining HKUST(GZ), I worked as a senior scientist at Qatar Computing Research Institute, a visiting scientist at MIT CSAIL, a research fellow at University of Edinburgh, a scientific staff member at CWI (national research institute for mathematics and computer science in the Netherlands), and a visiting scholar at University of Waterloo.

I am directing the Data Intelligence and Analytics Lab (DIAL), which focuses on finding good data and smart analytics that are fundamental to data management, data science and artificial intelligence.

• Retrieval-based language models using multi-modal data lakes. Data lakes have become increasingly popular for many organizations. Given a natural language question, retrieving datasets (e.g., text, tables, graphs) and reasoning with language models are key for business intelligence.
• Good data for AI (a.k.a. data-centric AI). For most machine learning practitioners, the success of machine learning projects heavily depends on whether we can find good data for model training.
• AI for good data. Data scientists spend at least 80% of their time on data preparation. Machine learning models can help address diverse data preparation challenges.
• Visualization. Data visualization is important to data analytics. I am working on automatic visualization, visualization recommendation, chat-to-story, chat-to-video, and visualization using AR/VR devices.

Office: E3 601
E-mail: nantang (at) hkust-gz.edu.cn
Call: (+86)-20-88330888