Lingfei Ren

Orcid: 0000-0002-3756-3427

According to our database1, Lingfei Ren authored at least 18 papers between 2021 and 2024.

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

Timeline

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Bibliography

2024
AF-DETR: efficient UAV small object detector via Assemble-and-Fusion mechanism.
Pattern Anal. Appl., December, 2024

Beyond the individual: An improved telecom fraud detection approach based on latent synergy graph learning.
Neural Networks, January, 2024

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

A GNN-based fraud detector with dual resistance to graph disassortativity and imbalance.
Inf. Sci., 2024

Do not ignore heterogeneity and heterophily: Multi-network collaborative telecom fraud detection.
Expert Syst. Appl., 2024

Heterophilic Graph Invariant Learning for Out-of-Distribution of Fraud Detection.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Robust Heterophilic Graph Learning against Label Noise for Anomaly Detection.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

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

Where Have You Gone: Category-aware Multigraph Embedding for Missing Point-of-Interest Identification.
Neural Process. Lett., June, 2023

Who is your friend: inferring cross-regional friendship from mobility profiles.
Multim. Tools Appl., March, 2023

Collaborative Fraud Detection: How Collaboration Impacts Fraud Detection.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

Don't Ignore Alienation and Marginalization: Correlating Fraud Detection.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

2022
Where have you been: Dual spatiotemporal-aware user mobility modeling for missing check-in POI identification.
Inf. Process. Manag., 2022

Learning Dynamic Behavior Patterns for Fraud Detection.
Proceedings of the IEEE Intl Conf on Parallel & Distributed Processing with Applications, 2022

IDGL: An Imbalanced Disassortative Graph Learning Framework for Fraud Detection.
Proceedings of the Service-Oriented Computing - 20th International Conference, 2022

A Bi-directional Category-Aware Multi-task Learning Framework for Missing Check-in POI Identification.
Proceedings of the Service-Oriented Computing - 20th International Conference, 2022

2021
Multi-level Graph Attention Network based Unsupervised Network Alignment.
Proceedings of the 46th IEEE Conference on Local Computer Networks, 2021

Multi-network Embedding for Missing Point-of-Interest Identification.
Proceedings of the 2021 IEEE Intl Conf on Parallel & Distributed Processing with Applications, Big Data & Cloud Computing, Sustainable Computing & Communications, Social Computing & Networking (ISPA/BDCloud/SocialCom/SustainCom), New York City, NY, USA, September 30, 2021


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