Yulong Pei

Yulong Pei is an Assistant Professor at the Department of Mathematics and Computer Science, Eindhoven University of Technology. His research focuses on anomaly detection, adversarial machine learning, graph neural networks, and fairness in AI. He has contributed to the development of robust algorithms for network analysis, active learning frameworks, and applications in code quality assessment and financial data analysis.

Pei's work addresses challenges such as structural sparsity optimization, bias mitigation in language models, and efficient training techniques for deep neural networks. His research has been recognized with awards like the Best Paper Award of LoG 2022. He has advised 27 students and collaborated on projects involving financial transaction networks, social media data analysis, and healthcare informatics.

Key contributions include FAL-CUR (fair active learning), Hop-count based anomaly detection, and frameworks for adversarial example generation. His publications span conferences like ECML PKDD and journals like Expert Systems with Applications, demonstrating interdisciplinary impact across computer science, finance, and healthcare.