Published over 20 papers as first author in IEEE/ACM Transactions and CCF-A conferences. Notable works include 'A Survey of Large Language Models for Data Challenges in Graphs' (published in Expert Systems with Applications) and 'Attrireboost: A gradient-free propagation optimization method for cold start mitigation in attribute missing graphs' (preprint on arXiv).
Research Experience
Gained research experience through internships at Baidu, SIAT (Chinese Academy of Sciences, Shenzhen Institute of Advanced Technology), Westlake University, and the Hong Kong Centre for Artificial Intelligence and Robotics (CAIR).
Education
Ph.D. Student - Control Science & Engineering, Sun Yat-sen University, Advised by: Prof. Ronghui Zhang (SYSU) and Prof. Yong Zhang (BJUT)
Background
A Ph.D. student in Control Science and Engineering at Sun Yat-sen University. Research interests include AI for Science, heterogeneous graph learning, hypergraph learning, temporal modeling, traffic big data, and bioinformatics.