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I am a PhD student within the College of Computer Science and Artificial Intelligence at Fudan University. My research interests include LLMs, social computing, graph/hypergraph learning and applications.
(E-mail: mgao21@m.fudan.edu.cn)
Education
- PhD (Sept. 2021 - present)
College of Computer Science and Artificial Intelligence, Fudan University
Advisor: Professor, Yang Chen
- Master (Sept. 2018 - Jun. 2021)
College of Computer and Cyber Security, Fujian Normal University
Advisor: Professor, Li Xu
- Bachelor (Sept. 2014 - Jun. 2018)
College of Mathematics and Information Science, Anshan Normal University
GPA: 3.93
News and Highlights
- [10-21-2025] Our paper titled "Fine-Grained Behavioral Modeling with Graph Neural Networks for Financial Identity Theft Detection" was accepted by TNSE. [Paper]
- [08-05-2025] Our paper titled "Higher-Order Information Matters: A Representation Learning Approach for Social Bot Detection" was accepted by CIKM 2025. [Paper]
- [08-05-2025] Our paper titled "FediData: A Comprehensive Multi-Modal Fediverse Dataset from Mastodon" was accepted by CIKM 2025 (Resource Track). [Paper | Code | Dataset]
- [05-30-2025] Our paper titled "EasyHypergraph: an open-source software for fast and memory-saving analysis and learning of higher-order networks" was accepted by HSSC (Nature Portfolio). [Paper | Media Coverage]
- [01-21-2025] Our paper titled "FediLive: A Framework for Collecting and Preprocessing Snapshots of Decentralized Online Social Networks" was accepted by WWW 2025 (Resource Track). [Paper | Project]
- [10-18-2023] Our paper titled "Detecting Compromised Accounts Caused by Phone Number Recycling on E-Commerce Platforms: Taking Meituan as an Example" was accepted by FITEE. [Paper | Media Coverage]
- [08-17-2023] We release EasyGraph 1.0! [Project]
- [08-08-2023] Our paper titled "EasyGraph: A Multifunctional, Cross-Platform, and Effective Library for Interdisciplinary Network Analysis" was accepted by Patterns (Cell Press). [Project | Paper | Code| Dataset | Media Coverage]
Projects
EasyGraph (EG)
- Leading EG team for developing an effective and comprehensive network analysis open-source library
- By leveraging multi-processing and Python/C++ hybrid programming techniques, EG achieves more than 4 times than existing libraries in terms of running time.
Fraud Detection (Meituan Intership)
- Formulating the problem and designing solutions for detecting top fraud types
- Behavior modeling and graph learning for fraud detection on real-world O2O financial platform
Publications
(* denotes corresponding author, # denotes co-first author)
Fine-Grained Behavioral Modeling with Graph Neural Networks for Financial Identity Theft Detection.
Min Gao, Qiongzan Ye, Yangbo Gao, Zhenhua Zhang, Yu Chen, Yupeng Li, Shutong Chen, Qingyuan Gong, Xin Wang, Yang Chen*.
To appear: IEEE Transactions on Network Science and Engineering.
FediData: A Comprehensive Multi-Modal Fediverse Dataset from Mastodon.
Min Gao, Haoran Du, Wen Wen, Qiang Duan, Xin Wang*, Yang Chen*.
Proc. of the 34th ACM International Conference on Information and Knowledge Management (CIKM’25), Resource Track, Seoul, Korea, Nov. 2025. [Code|Dataset]
Higher-Order Information Matters: A Representation Learning Approach for Social Bot Detection.
Min Gao, Qiang Duan, Boen Liu, Yu Xiao, Xin Wang*, Yang Chen*.
Proc. of the 34th ACM International Conference on Information and Knowledge Management (CIKM’25), Seoul, Korea, Nov. 2025. (Acceptance ratio: 443/1627=27.23%)
EasyHypergraph: an open-source software for fast and memory-saving analysis and learning of higher-order networks.
Bodian Ye, Min Gao, Xiu-Xiu Zhan, Xinlei He, Zi-Ke Zhang, Qingyuan Gong*, Xin Wang, Yang Chen*.
Humanities and Social Sciences Communications, 2025, 12:1291. (Nature Portfolio)
Detecting Compromised Accounts Caused by Phone Number Recycling on E-Commerce Platforms: Taking Meituan as an Example.
Min Gao, Shutong Chen, Yangbo Gao, Zhenhua Zhang, Yu Chen, Yupeng Li, Qiongzan Ye, Xin Wang, Yang Chen*.
Frontiers of Information Technology & Electronic Engineering, 2024.
EasyGraph: A Multifunctional, Cross-Platform, and Effective Library for Interdisciplinary Network Analysis.
Min Gao, Zheng Li, Ruichen Li, Chenhao Cui, Xinyuan Chen, Bodian Ye, Yupeng Li, Weiwei Gu, Qingyuan Gong, Xin Wang, Yang Chen*.
Patterns, 2023, 4(10):100839. (Cell Press) [Project | Paper]
Account Takeover Detection on E-commerce Platforms.
Min Gao
Proc. of the 2022 International Conference on Smart Computing (SMARTCOMP), 2022, 196-197.
Modeling Access Environment and Behavior Sequence for Financial Identity Theft Detection in E-Commerce Services.
Qiongzan Ye, Yangbo Gao, Zhenhua Zhang, Yu Chen, Yupeng Li, Min Gao, Shutong Chen, Xin Wang, Yang Chen*.
Proc. of the 2022 International Joint Conference on Neural Networks (IJCNN'22), 2022, 1-8.
Understanding Scholar Social Networks: Taking SCHOLAT as An Example.
Min Gao, Yang Chen*, Qingyuan Gong, Xin Wang, Pan Hui.
Proc. of the 16th CCF Chinese Conference on Computer Supported Cooperative Work (ChineseCSCW’21), Xiangtan, China, Nov. 2021.
Influence maximization based on activity degree in mobile social networks.
Min Gao, Li Xu*, Limei Lin, Yanze Huang, Xinxin Zhang.
Concurrency and Computation: Practice and Experience 32.11 (2020): e5677.
An Efficient Influence Maximization Algorithm Based on Social Relationship Priority in Mobile Social Networks.
Xinxin Zhang, Li Xu*, Min Gao.
Proc. of the International Symposium on Security and Privacy in Social Networks and Big Data. Springer, Singapore, 2020.
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