People

I supervise master’s students at Fudan University and welcome conversations with motivated students and collaborators working on federated learning, graph machine learning, generative AI, and secure financial technology.

Prospective students

A strong fit usually includes solid foundations in machine learning, optimization, probability, or computer systems, together with an interest in translating research into dependable financial technology.

When reaching out, please include a concise introduction, your CV, representative work, and the research question you would most like to explore.

Collaboration

I am interested in academic and industry collaborations involving privacy-sensitive multi-party data, graph-structured financial systems, and trustworthy domain AI.