معرفی
Shuhan Yuan is an Assistant Professor in the Computer Science Department at Utah State University (USU). He holds a Ph.D. in Computer Science from Tongji University, China, and bachelor's and master's degrees from Huaqiao University, China. Prior to USU, he was a postdoctoral researcher at the University of Arkansas under Dr. Xintao Wu.
- Affiliations: Utah State University, Computer Science Department
- Research Focus: Data Mining, Machine Learning, Anomaly Detection in Cyberspace, Explainable AI, Fairness, and Privacy-Preserving Techniques
His research emphasizes developing trustworthy anomaly detection models that ensure explainability, robustness, and fairness. Key contributions include work on adversarial attacks, counterfactual explanations, and fair data generation. He has advised multiple PhD and Master’s students, focusing on anomaly detection applications in cybersecurity and fraud detection.
Selected publications highlight advancements in log anomaly detection, backdoor attack defenses, and causal inference for root cause analysis. His work has been presented at top conferences like ICLR, ICML, and AAAI. He co-organized the Trustworthy Anomaly Detection tutorial at SDM24.
