I am a Lecturer in the School of Information Science and Engineering at East China University of Science and Technology. I received my Ph.D. degree from the College of Computer Science and Artificial Intelligence, Fudan University, advised by Prof. Yang Chen and Prof. Xin Wang. I received my M.S. degree from Fujian Normal University, advised by Prof. Li Xu, and my B.S. degree from Anshan Normal University.
My research interests include data mining, graph/hypergraph learning, and graph for LLMs. My recent work focuses on effective learning methods for complex graph and hypergraph data, with applications to trust, safety, and behavior modeling in online platforms.
💌 I am always actively looking for highly motivated students. Please email me your CV if you are interested in!
News
- [2026/02] We released EasyGraph 1.6.
- [2026/01] EasyGraph reached over 1 million downloads on pip.
- [2026/01] Our paper "FediScan: Collaborative Social Bot Detection in the Fediverse" was accepted by WWW 2026 (Oral Presentation).
- [2025/10] Our paper "Fine-Grained Behavioral Modeling with Graph Neural Networks for Financial Identity Theft Detection" was accepted by IEEE TNSE.
- [2025/08] Two papers were accepted by ACM CIKM 2025.
- [2025/05] Our paper "EasyHypergraph: an open-source software for fast and memory-saving analysis and learning of higher-order networks" was accepted by HSSC (Nature Portfolio).
- [2025/05] Our paper "Detecting compromised accounts caused by phone number recycling on e-commerce platforms: taking Meituan as an example" was accepted by FITEE.
- [2025/05] Our paper "EasyGraph: A Multifunctional, Cross-Platform, and Effective Library for Interdisciplinary Network Analysis" was accepted by Patterns (Cell Press).
Selected Publications
FediScan: Collaborative Social Bot Detection in the Fediverse
Min Gao, Wen Wen, Haoran Du, Qiang Duan, Yu Xiao, Yupeng Li, Xin Wang, Yang Chen
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
Higher-Order Information Matters: A Representation Learning Approach for Social Bot Detection
Min Gao, Qiang Duan, Boen Liu, Yu Xiao, Xin Wang, and Yang Chen
Bodian Ye, Min Gao, Xiu-Xiu Zhan, Xinlei He, Zi-Ke Zhang, Qingyuan Gong, Xin Wang, Yang Chen
FediData: A Comprehensive Multi-Modal Fediverse Dataset from Mastodon
Min Gao, Haoran Du, Wen Wen, Qiang Duan, Xin Wang, and Yang Chen
Min Gao, Shutong Chen, Yangbo Gao, Zhenhua Zhang, Yu Chen, Yupeng Li, Qiongzan Ye, Xin Wang, and Yang Chen
Min Gao, Zheng Li, Ruichen Li, Chenhao Cui, Xinyuan Chen, Bodian Ye, Yupeng Li, Weiwei Gu, Qingyuan Gong, Xin Wang, and Yang Chen
Other Publications
Awards
- TSC Best Reviewer Award, ACM Transactions on Social Computing (TSC)
- Student Travel Grant, ACM SIGIR
- Open Source Pioneer Award (Team Leader), Fudan University
- Open Source Security Reward Program Outstanding Student (Third Prize), CSAC
- Shanghai Open Source Innovation Excellence Award (Grand Prize)
- Speaker of "High-order Network", Swarma Club
- Annual Outstanding Translator, AI Research Center
- Second Prize in the 9th National Mathematics Competition for College Students, Chinese Mathematical Society
- Second Prize for C Class in the 20th National English Competition for College Students, TEFL China
- National Scholarship (highest honor in China), Ministry of Education of China
Teaching Experience
- Teaching Assistant — Information Thinking and Practice (2021 Fall); Online Social Networks (2024 Fall); Mobile Computing (2025 Fall); Fudan University
Professional Services
- Session Chair: WWW 2026; CIKM 2025; SocialMeta 2024
- PC Member: ICSC 2025; BDSC 2023
- Web Chair: SocialMeta 2022
- Invited Reviewer: ICWSM 2026; Neurocomputing 2026; TIFS 2026; TSC 2026; IPM 2026; ESWA 2026; TST 2025; TKDD 2025; TCSS 2024; JSC 2023–2026