Xin Liu

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HI! I am a researcher at Supcon working on Industrial AI. Our team is building a suite of industrial intelligent agents based on HGT fostering steady and sustainable business growth, including:

HR Agent Data Agent Biding Agent Selling Agent Meeting Agent Purchasing Agent EfficiencyPi

My current work mainly focuses on using (hyper-)graph, ontology and large language models (LLMs) to encapsulate enterprise knowledge, business entities, and operational logic, enabling structured reasoning and task planning while preserving explainability and execution determinism. I am particularly interested in graph retrieval-augmented generation (GraphRAG) methods and graph foundation models (GFMs), bridging the gap between cutting-edge AI research and real-world industrial applications.

Before joining Supcon, I received my Ph.D. from Tsinghua University in 2025, advised by Prof. Wei Xu, where I worked on fraud detection, multi-party computation, graph algorithms, and graph neural networks.

selected publications

  1. arXiv
    Hypergraph Enterprise Agentic Reasoner over Heterogeneous Business Systems
    Ling Wang*, Xin Liu*, Songnan Liu, and 8 more authors
    arXiv preprint arXiv:2605.14259, 2026
  2. arXiv
    Detecting LLM-Generated Spam Reviews by Integrating Language Model Embeddings and Graph Neural Network
    Xin Liu*, Rongwu Xu*, Xinyi Jia, and 4 more authors
    arXiv preprint arXiv:2510.01801, 2025
  3. CIKM
    Collaborative Fraud Detection on Large Scale Graph Using Secure Multi-Party Computation
    Xin Liu, Xiaoyu Fan, Rong Ma, and 4 more authors
    In Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024
  4. WWW
    No place to hide: Catching fraudulent entities in tensors
    Yikun Ban, Xin Liu, Ling Huang, and 3 more authors
    In The World Wide Web Conference, 2019