Yijun Bian

Yijun Bian is a Postdoctoral Research Fellow at the Department of Computer Science (DIKU), University of Copenhagen, specializing in machine learning research. They are affiliated with the Machine Learning section and the SCIENCE AI Centre, focusing on theoretical and applied aspects of fair machine learning, federated learning, and adversarial robustness.

Their research spans multiple domains including:

• Fairness-aware algorithms (HL-HGAT, FairSHAP)
• Federated learning security
• Heterogeneous graph modeling
• Adversarial attack analysis
• Ensemble learning optimization
• Biomedical data modeling

Recent publications highlight their work on fairness evaluation, topological graph attention networks, and robustness in vision-based tasks. They actively contribute to advancing trustworthy AI systems through theoretical foundations and practical implementations.