Min Gao

Min Gao

Final-year Ph.D. Student, Fudan University

Email Google Scholar ResearchGate GitHub

About Me

Hi, I am Min Gao. I am a final-year Ph.D. candidate at 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 the College of Computer and Cyber Security at Fujian Normal University, advised by Prof. Li Xu, and my B.S. degree from the College of Mathematics and Information Science at Anshan Normal University (GPA: 3.93/4).

My research interests lie in effective graph/hypergraph analysis and learning, LLMs on graphs, and real-world applications such as social bot detection and fraud detection.

LLMs on Graphs Graph/Hypergraph Learning Social Bot Detection Fraud Detection

News

• [2026/01/16] 🎉 EasyGraph has reached over 1 million downloads on pip! Thanks to our amazing community!
• [2026/01/13] 📄 Our paper titled “FediScan: Collaborative Social Bot Detection in the Fediverse” got accepted by ACM WWW 2026.
• [2025/10/21] 📄 Our paper titled “Fine-Grained Behavioral Modeling with Graph Neural Networks for Financial Identity Theft Detection” got accepted by IEEE TNSE.
• [2025/08/05] 📄 Two papers accepted by ACM CIKM 2025.
• [2025/05/30] 📄 Our paper titled “EasyHypergraph: an open-source software for fast and memory-saving analysis and learning of higher-order networks” got accepted by HSSC (Nature Portfolio).
• [2023/10/18] 📄 Our paper titled “Detecting compromised accounts caused by phone number recycling on e-commerce platforms: taking Meituan as an example” got accepted by FITEE.
• [2023/08/17] 🚀 We release EasyGraph 1.0!
• [2023/08/08] 📄 Our paper titled “EasyGraph: A Multifunctional, Cross-Platform, and Effective Library for Interdisciplinary Network Analysis” got 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

To appear: Proc. of WWW, 2026

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: TNSE, 2026

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

Proc. of CIKM, 2025

paper

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

paper

FediData: A Comprehensive Multi-Modal Fediverse Dataset from Mastodon

Min Gao, Haoran Du, Wen Wen, Qiang Duan, Xin Wang, and Yang Chen

Proc. of CIKM (Resource Track), 2025

paper code dataset

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, and Yang Chen

FITEE, 2024

paper WeChat (FITEE) WeChat (School of Computer Science, Fudan University)

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, and Yang Chen

Patterns (Cell Press), 2023

paper project code datasets WeChat (Cell Press) WeChat (Swarma)

Other Publications

• FediLive: A Framework for Collecting and Preprocessing Snapshots of Decentralized Online Social Networks
  Shaojie Min, Shaobin Wang, Yaxiao Luo, Min Gao, Qingyuan Gong, Yu Xiao, Yang Chen
  [WWW 2025] In Proceedings of the ACM on Web Conference (Resource Track)

• RoleScan: Enhancing Social Bot Detection Using Social Role Vector
  Wen Wen, Min Gao, Qingyuan Gong, Xin Wang, Yang Chen
  [ChineseCSCW 2024] In Proceedings of the 19th CCF Conference on Computer Supported Cooperative Work and Social Computing

• EGGPU: Enabling Efficient Large-Scale Network Analysis with Consumer-Grade GPUs
  Jiawei Tang, Min Gao, Yu Xiao, Cong Li, and Yang Chen
  [SocialMeta 2024] In Proceedings of the Third International Workshop on Social and Metaverse Computing, Sensing and Networking

• 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, and Yang Chen
  [IJCNN 2022] In Proceedings of the International Joint Conference on Neural Networks

• Influence maximization based on SATS scheme in social networks
  Xinxin Zhang, Min Gao, Li Xu, Zhaobin Zhou
  [Computing 2022]

• Understanding Scholar Networks: Taking SCHOLAT as an Example
  Min Gao, Yang Chen, Qingyuan Gong, Xin Wang, Pan Hui
  [ChineseCSCW 2021] In Proceedings of the 16th CCF Conference on Computer Supported Cooperative Work and Social Computing

• An Efficient Influence Maximization Algorithm Based on Social Relationship Priority in Mobile Social Networks
  Xinxin Zhang, Li Xu, and Min Gao
  [SocialSec 2020] In Proceedings of the International Symposium on Security and Privacy in Social Networks and Big Data

• Influence maximization based on activity degree in mobile social networks
  Min Gao, Li Xu, Limei Lin, Yanze Huang, and Xinxin Zhang
  [CCPE 2020] Concurrency and Computation: Practice and Experience

Selected Awards

• [2025] Student Travel Grant, ACM SIGIR
• [2025] Open Source Pioneer Award (Team Leader), Fudan University
• [2024] Open Source Security Reward Program Outstanding Student (Third Prize), CSAC
• [2023] Shanghai Open Source Innovation Excellence Award (Grand Prize)
• [2022] Speaker of “High-order Network”, Swarma Club
• [2019] Annual Outstanding Translator, AI Research Center
• [2017] Second Prize in the 9th National Mathematics Competition for College Students (Chinese Mathematical Society)
• [2017] Second Prize for C Class in the 20th National English Competition for College Students (TEFL China)
• [2015–2017] National Scholarship (highest honor in China), Ministry of Education of China

Teaching Experience

• Teaching Assistant
  COMP110045.01: Information Thinking and Practice, 2021 Fall, Fudan University

Professional Services

• Session Chair: CIKM 2025
• PC Member: BDSC 2023, ICSC 2025
• Web Chair: SocialMeta 2022
• Invited Reviewer: TSC 2026; IPM 2026; JSC 2023–2026; TKDD 2025; TCSS 2024