Hezhe Qiao
PHD Candidate
Singapore, Singapore
Summary
👤
Senior🎓
Top SchoolHezhe Qiao is a PhD candidate at Singapore Management University with eight years of experience researching graph representation learning, graph anomaly detection, and LLM hallucination detection and mitigation. Currently seeking a summer 2025 US internship, he brings a strong academic track record including a visiting researcher stint at UIUC and a Master’s focused on graph learning from the University of Chinese Academy of Sciences. Hezhe blends theoretical rigor with practical evaluation of large language models and graph-based methods, with hands-on expertise in detecting anomalies and reducing hallucinations in LLM outputs. Based in Singapore, he is open to industry collaborations and roles that bridge cutting-edge research and deployable systems.
9 years of coding experience
Master of Computer Applications, Graph Representation Learning, Master of Computer Applications, Graph Representation Learning at University of Chinese Academy of SciencesDoctor of Philosophy, Graph，LLM, Doctor of Philosophy, Graph，LLM at Singapore Management University
Github Skills (32)
graph-algorithms10
anomaly-detection10
data-mining10
security10
fraud-detection10
spam-detection10
survey10
foundation-models10
outlier-detection10
graph-representation-learning10
gnn9
data-science9
llm9
machine-learning9
graph9
Programming languages (1)
Github contributions (5)
mala-lab/Awesome-Deep-Graph-Anomaly-Detection
Sep 2024 - Jun 2026
Official repository for 2025 TKDE survey paper "Deep Graph Anomaly Detection: A Survey and New Perspectives", including diverse types of resources for graph anomaly detection
Contributions:3 PRs, 170 pushes, 1 comment in 1 year 9 months
anomaly-detectiongraphdeep-anomaly-detectiongraph-anomaly-detectiongraph-neural-netowrks
fengduqianhe/ADrankCNN-master
Oct 2021 - Oct 2022
Contributions:9 commits, 4 pushes in 11 months
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