Min Gao

Orcid: 0009-0002-9374-1459

Affiliations:
  • Fudan University (FDU), School of Computer Science, Shanghai, China


According to our database1, Min Gao authored at least 14 papers between 2020 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
Fine-Grained Behavioral Modeling With Graph Neural Networks for Financial Identity Theft Detection.
IEEE Trans. Netw. Sci. Eng., 2026

HIP: Model-agnostic hypergraph influence prediction via distance-centrality fusion and neural ODEs.
Expert Syst. Appl., 2026

FediScan: Collaborative Social Bot Detection in the Fediverse.
Proceedings of the ACM Web Conference 2026, 2026

2025
FediLive: A Framework for Collecting and Preprocessing Snapshots of Decentralized Online Social Networks.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025

FediData: A Comprehensive Multi-Modal Fediverse Dataset from Mastodon.
Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025

Higher-Order Information Matters: A Representation Learning Approach for Social Bot Detection.
Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025

2024
Detecting compromised accounts caused by phone number recycling on e-commerce platforms: taking Meituan as an example.
Frontiers Inf. Technol. Electron. Eng., August, 2024

2023
EasyGraph: A multifunctional, cross-platform, and effective library for interdisciplinary network analysis.
Patterns, October, 2023

Influence maximization based on SATS scheme in social networks.
Computing, February, 2023

2022
Account Takeover Detection on E-Commerce Platforms.
Proceedings of the 2022 IEEE International Conference on Smart Computing, 2022

Modeling Access Environment and Behavior Sequence for Financial Identity Theft Detection in E-Commerce Services.
Proceedings of the International Joint Conference on Neural Networks, 2022

2021
Understanding Scholar Social Networks: Taking SCHOLAT as an Example.
Proceedings of the Computer Supported Cooperative Work and Social Computing, 2021

2020
Influence maximization based on activity degree in mobile social networks.
Concurr. Comput. Pract. Exp., 2020

An Efficient Influence Maximization Algorithm Based on Social Relationship Priority in Mobile Social Networks.
Proceedings of the Security and Privacy in Social Networks and Big Data, 2020


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