Scholar
Kay Liu
Google Scholar ID: kPEaa0QAAAAJ
Applied Scientist, Amazon Web Services
Citations & Impact
Citations
523
H-index
8
i10-index
7
Publications
15
Co-authors
8
list available
Publications
Resume (English only)
Academic Achievements
- - TGTOD: A Global Temporal Graph Transformer for Outlier Detection at Scale (PAKDD 2025)
- - Data Augmentation for Supervised Graph Outlier Detection with Latent Diffusion Models (LoG 2024)
- - BOND: Benchmarking Unsupervised Outlier Node Detection on Static Attributed Graphs (NeurIPS 2022)
- - PyGOD: A Python Library for Graph Outlier Detection (JMLR 2024)
- - Enhancing Fairness in Unsupervised Graph Anomaly Detection through Disentanglement (TMLR 2025)
- - Multitask Active Learning for Graph Anomaly Detection (arXiv preprint 2024)
Research Experience
- - Multiple internships as a scientist and engineer at Amazon and Walmart
Education
- - Ph.D. in Computer Science, University of Illinois Chicago, Advisor: Prof. Philip S. Yu
- - Bachelor's degree from Beijing University of Posts and Telecommunications and Queen Mary University of London, graduated in 2021
Background
- Research interests include Graph Mining, Anomaly Detection, and Generative Models. Currently an Applied Scientist at Amazon GuardDuty.
Miscellany
- Personal interests and other information not provided
