Shuai Ma

Shuai Ma is a researcher at Beihang University, School of Computer Science and Engineering, China. His work spans database systems, machine learning, and natural language processing, focusing on temporal knowledge graphs, graph neural networks, and privacy-preserving federated learning. He received his PhD from the University of Edinburgh, UK, in 2011.

Research interests include graph theory, spatiotemporal data analysis, data mining, and anomaly detection. His recent publications address:

• 2025: Technology mapping for ASICs, temporal network motifs, and 3D geometry compression.
• 2024: Knowledge graph completion, scene mining for e-commerce, and secure aggregation for federated learning.

Article trends reveal expertise in graph neural networks, temporal data processing, and privacy-aware systems. Collaborations with institutions like Concordia University and industry leaders underscore his interdisciplinary impact.