Baojian Zhou

Young Associate Researcher, School of Big Data, Fudan University

Baojian Zhou is a Young Associate Researcher at School of Big Data, Fudan University.He received his Ph.D. degree from the State University of New York at Albany in 2020, followed by a postdoctoral fellowship at Stony Brook University (2020-2021). He has long been engaged in theoretical research work on large-scale graph machine learning and data mining, especially on dynamic graph representation learning and acceleration algorithms on graphs. In recent years, he has achieved a number of research results in the research directions of anomaly subgraph detection, graph structure constraint optimization, graph machine learning, and anomaly detection for dynamic graph representation learning on large-scale graph data mining. The research results have been published in more than 20 papers in international data mining and machine learning conferences, such as ICML, NeurIPS, KDD, IJCAI, AAAI, ICDM, CIKM, and TKDE.