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Yixin Liu

Yixin Liu

ARC Research Fellow

Monash University

Faculty of IT

Interests
  • Artificial Intelligence
  • Machine Learning
Education
  • Doctor of Philosophy, 2024

    Monash University

  • M.S in Aeronautical Engineering, 2020

    Beihang University

  • B.S in Engineering Mechanics, 2017

    Beihang University

Latest

  • Divide and Denoise: Empowering Simple Models for Robust Semi-Supervised Node Classification against Label Noise
  • GOODAT: Towards Test-time Graph Out-of-Distribution Detection
  • Towards Self-Interpretable Graph-Level Anomaly Detection
  • PREM: A Simple Yet Effective Approach for Node-Level Graph Anomaly Detection
  • Learning Strong Graph Neural Networks with Weak Information
  • Beyond Smoothing: Unsupervised Graph Representation Learning with Edge Heterophily Discriminating
  • GOOD-D: On Unsupervised Graph Out-Of-Distribution Detection
  • Graph self-supervised learning: A survey
  • Towards Unsupervised Deep Graph Structure Learning
  • Anomaly Detection in Dynamic Graphs via Transformer
  • ANEMONE: Graph Anomaly Detection with Multi-Scale Contrastive Learning
  • Cyclic label propagation for graph semi-supervised learning
  • Anomaly Detection on Attributed Networks via Contrastive Self-Supervised Learning

© {2024} TrustAGI Lab. This work is licensed under CC BY NC ND 4.0

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