Assoc. Prof. Dr. Li Sun | Computer Science | Young Scientist Award
Beijing University of Posts and Telecommunications | China
Assoc. Prof. Dr. Li Sun specializes in data mining, deep learning, and graph-based foundation models, with a strong emphasis on Riemannian geometry in machine learning. His research advances graph neural networks, hyperbolic representation learning, and structural entropy–based data analysis for complex systems. According to Scopus, he has authored 65 publications, with 1,484 citations and an h-index of 17. His work is widely recognized in premier venues such as ICML, NeurIPS, ICLR, KDD, AAAI, and IEEE journals. Dr. Li Sun’s contributions focus on scalable graph learning, social network modeling, and privacy-preserving data mining, significantly impacting modern artificial intelligence and large-scale data analytics.
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Featured Publications
Enhancing Graph Neural Network-based Fraud Detectors against Camouflaged Fraudsters
– CIKM, 2020 | Cited by: 874
Graph-BERT: Only Attention is Needed for Learning Graph Representations
– arXiv, 2020 | Cited by: 467
A survey of graph neural network based recommendation in social networks
– Neurocomputing, 2023 | Cited by: 306
Hyperbolic variational graph neural network for modeling dynamic graphs
– AAAI Conference on Artificial Intelligence, 2021 | Cited by: 106
A Self-supervised Mixed-curvature Graph Neural Network
– AAAI Conference on Artificial Intelligence, 2021 | Cited by: 67