Hi there! I'm a 2nd-year Ph.D. student at Nanjing University, advised by Prof. Tieke He and Prof. Jianhua Zhao. I'm also fortunate to be mentored by Dr. Yongchao Liu during my research internship at Ant Group.

My research is mainly about learning on structured data (e.g., graphs, knowledge graphs, and tabular data), as well as leveraging these techniques to advance real-world applications, from fraud detection to knowledge extraction from unstructured data. Recently, I've been exploring tabular foundation models and large language models for better structured data learning.

Earlier in my journey, I worked on topics including self-supervised learning, deep graph clustering, scalable graph learning, and graph anomaly detection. I remain committed to developing methods that are not only technically sound and scalable, but also practical and impactful in real-world applications.