Published several papers in leading international conferences such as ICML, VLDB, ICDE, WWW, AAAI, and IJCAI.
Research Experience
Organizer or contributor of scalable graph learning system project SGL, federated graph learning system project OpenFGL, and graph unlearning system project OpenGU.
Education
Ph.D. student at the School of Computer Science, Beijing Institute of Technology (since 2022), supervised by Prof. Rong-Hua Li; B.Eng. degree in computer science from Shandong University (June 2022).
Background
Research interests: Data-centric Graph Intelligence, Data-centric AI, Graph Machine Learning, and AI4Science. Focuses on developing efficient ML solutions for structured data representation and mining, aiming to bridge the gap between theoretical advancements and practical applications.