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 18 papers between 2018 and 2024.

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

Timeline

Legend:

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Article 
PhD thesis 
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Links

Online presence:

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Bibliography

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