Yilong Zang

According to our database, Yilong Zang authored at least 13 papers between 2022 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Beyond the individual: An improved telecom fraud detection approach based on latent synergy graph learning.

Junhang Wu, Ruimin Hu, Dengshi Li, Lingfei Ren, Zijun Huang, Yilong Zang

Neural Networks, January, 2024

Improving fraud detection via imbalanced graph structure learning.

Lingfei Ren, Ruimin Hu, Yang Liu, Dengshi Li, Junhang Wu, Yilong Zang, Wenyi Hu

Mach. Learn., 2024

A GNN-based fraud detector with dual resistance to graph disassortativity and imbalance.

Junhang Wu, Ruimin Hu, Dengshi Li, Lingfei Ren, Wenyi Hu, Yilong Zang

Inf. Sci., 2024

2023

Dynamic graph neural network-based fraud detectors against collaborative fraudsters.

Lingfei Ren, Ruimin Hu, Dengshi Li, Yang Liu, Junhang Wu, Yilong Zang, Wenyi Hu

Knowl. Based Syst., October, 2023

Graph Condensation for Inductive Node Representation Learning.

Xinyi Gao, Tong Chen, Yilong Zang, Wentao Zhang, Quoc Viet Hung Nguyen, Kai Zheng, Hongzhi Yin

CoRR, 2023

Collaborative Fraud Detection: How Collaboration Impacts Fraud Detection.

Jinzhang Hu, Ruimin Hu, Zheng Wang, Dengshi Li, Junhang Wu, Lingfei Ren, Yilong Zang, Zijun Huang, Mei Wang

Proceedings of the 31st ACM International Conference on Multimedia, 2023

Don't Ignore Alienation and Marginalization: Correlating Fraud Detection.

Yilong Zang, Ruimin Hu, Zheng Wang, Danni Xu, Jia Wu, Dengshi Li, Junhang Wu, Lingfei Ren

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

User and Interaction Both Matter: Social Relationship Mining Via Interaction Graph Propagating.

Yilong Zang, Ruimin Hu, Xixi Li, Zheng Wang, Dengshi Li

Proceedings of the IEEE International Conference on Communications, 2023

2022

Cross-Regional Friendship Inference via Category-Aware Multi-Bipartite Graph Embedding.

Linfei Ren, Ruimin Hu, Dengshi Li, Junhang Wu, Yilong Zang, Wenyi Hu

Proceedings of the 47th IEEE Conference on Local Computer Networks, 2022

ITC: Influential-Truss Community Search.

Dengshi Li, Lu Zeng, Ruimin Hu, Xiaocong Liang, Yilong Zang

Proceedings of the International Joint Conference on Neural Networks, 2022

IDGL: An Imbalanced Disassortative Graph Learning Framework for Fraud Detection.

Junhang Wu, Ruimin Hu, Dengshi Li, Lingfei Ren, Wenyi Hu, Yilong Zang

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.

Junhang Wu, Ruimin Hu, Dengshi Li, Lingfei Ren, Wenyi Hu, Yilong Zang

Proceedings of the Service-Oriented Computing - 20th International Conference, 2022

Dynamic Behavior Pattern: Mining the Fraudsters in Telecom Network.

Dengshi Li, Lu Zeng, Ruimin Hu, Zijun Huang, Xiaocong Liang, Yilong Zang

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