Yang Liu

Orcid: 0000-0002-1525-0788

Affiliations:
  • Chinese Academy of Sciences, Institute of Computing Technology, Key Lab of Intelligent Information Processing, Beijing, China
  • University of Chinese Academy of Sciences, Beijing, China


According to our database1, Yang Liu authored at least 20 papers between 2018 and 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

Online presence:

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Bibliography

2025
LOGIN: A Large Language Model Consulted Graph Neural Network Training Framework.
Proceedings of the Eighteenth ACM International Conference on Web Search and Data Mining, 2025

2024
Improving fraud detection via imbalanced graph structure learning.
Mach. Learn., 2024

Boosting the Adversarial Robustness of Graph Neural Networks: An OOD Perspective.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023
Dynamic graph neural network-based fraud detectors against collaborative fraudsters.
Knowl. Based Syst., October, 2023

FLOOD: A Flexible Invariant Learning Framework for Out-of-Distribution Generalization on Graphs.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Revisiting Graph Adversarial Attack and Defense From a Data Distribution Perspective.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Spatiotemporal Activity Modeling via Hierarchical Cross-Modal Embedding : Extended Abstract.
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

2022
Spatiotemporal Activity Modeling via Hierarchical Cross-Modal Embedding.
IEEE Trans. Knowl. Data Eng., 2022

Winter-Spring Prediction of Snow Avalanche Susceptibility Using Optimisation Multi-Source Heterogeneous Factors in the Western Tianshan Mountains, China.
Remote. Sens., 2022

AUC-oriented Graph Neural Network for Fraud Detection.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

UD-GNN: Uncertainty-aware Debiased Training on Semi-Homophilous Graphs.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Reliable Representations Make A Stronger Defender: Unsupervised Structure Refinement for Robust GNN.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Bi-Level Selection via Meta Gradient for Graph-Based Fraud Detection.
Proceedings of the Database Systems for Advanced Applications, 2022

Explainable Graph-based Fraud Detection via Neural Meta-graph Search.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021
Temporal high-order proximity aware behavior analysis on Ethereum.
World Wide Web, 2021

Pick and Choose: A GNN-based Imbalanced Learning Approach for Fraud Detection.
Proceedings of the WWW '21: The Web Conference 2021, 2021

2020
Financial Defaulter Detection on Online Credit Payment via Multi-view Attributed Heterogeneous Information Network.
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

Alike and Unlike: Resolving Class Imbalance Problem in Financial Credit Risk Assessment.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

2019
Grid-based DBSCAN: Indexing and inference.
Pattern Recognit., 2019

2018
Free-Rider Episode Screening via Dual Partition Model.
Proceedings of the Database Systems for Advanced Applications, 2018


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