Yilong Zang

Orcid: 0000-0001-8535-071X

According to our database1, Yilong Zang authored at least 12 papers between 2022 and 2024.

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

Timeline

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Bibliography

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

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

Graph Condensation for Inductive Node Representation Learning.
CoRR, 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

User and Interaction Both Matter: Social Relationship Mining Via Interaction Graph Propagating.
Proceedings of the IEEE International Conference on Communications, 2023

2022
Cross-Regional Friendship Inference via Category-Aware Multi-Bipartite Graph Embedding.
Proceedings of the 47th IEEE Conference on Local Computer Networks, 2022

ITC: Influential-Truss Community Search.
Proceedings of the International Joint Conference on Neural Networks, 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

Dynamic Behavior Pattern: Mining the Fraudsters in Telecom Network.
Proceedings of the 24th IEEE Int Conf on High Performance Computing & Communications; 8th Int Conf on Data Science & Systems; 20th Int Conf on Smart City; 8th Int Conf on Dependability in Sensor, 2022


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