Min Gao 高敏
Lecturer, School of Information Science and Engineering
East China University of Science and Technology
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Min Gao is a Lecturer at the School of Information Science and Engineering, East China University of Science and Technology. She received her Ph.D. degree from the College of Computer Science and Artificial Intelligence, Fudan University, advised by Prof. Yang Chen and Prof. Xin Wang. She received her M.S. degree from Fujian Normal University, advised by Prof. Li Xu, and her B.S. degree from Anshan Normal University.

Her research interests include graph learning, hypergraph analysis, LLMs on graphs, social bot detection, fraud detection, and social network analysis. Her recent work focuses on effective learning methods for complex graph and hypergraph data, with applications to trust, safety, and behavior modeling in online platforms.

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

💌 I am always actively looking for highly motivated students. Please email me your CV if you are interested in!

Portrait of Min Gao

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Selected Publications

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FediScan: Collaborative Social Bot Detection in the Fediverse

Min Gao, Wen Wen, Haoran Du, Qiang Duan, Yu Xiao, Yupeng Li, Xin Wang, Yang Chen

Proc. of WWW (Oral), 2026

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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

IEEE TNSE, 2025

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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

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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

HSSC (Nature Portfolio), 2025

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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

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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

EasyGraph cover image

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

Other Publications

HIP: Model-agnostic hypergraph influence prediction via distance-centrality fusion and neural ODEs
Susu Zhang, Jingfeng Xie, Yang Chen, Min Gao, Cong Li, Chuang Liu, Xiuxiu Zhan
ESWA 2026 Expert Systems with Applications
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
EGGPU: Enabling Efficient Large-Scale Network Analysis with Consumer-Grade GPUs
Jiawei Tang, Min Gao, Yu Xiao, Cong Li, and Yang Chen
SocialMeta 2024
Modeling Access Environment and Behavior Sequence for Financial Identity Theft Detection
Qiongzan Ye, Yangbo Gao, Zhenhua Zhang, Yu Chen, Yupeng Li, Min Gao, Shutong Chen, Xin Wang, Yang Chen
IJCNN 2022
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
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

Awards

Teaching Experience

Professional Services