Min Gao 高敏
Lecturer, School of Information Science and Engineering
East China University of Science and Technology
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Hello! 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 and hypergraph learning, and graph-based methods for large language models (LLMs). I develop learning methods for complex relational data, with a particular focus on multimodal representation learning that integrates relational, textual, and behavioral signals. My work addresses challenges in trust, safety, and behavior modeling on online platforms and emerging human–machine societies, at the intersection of network science, machine learning, and computational social science.

Alongside method development, I build and release open-source toolkits and benchmark datasets (e.g., EasyGraph, our higher-order network library EasyHypergraph, FediLive, and FediData) so that these evaluations stay reproducible for the community.

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

Portrait of Min Gao
LLMs on Graphs Graph / Hypergraph Learning Multimodal Representation Learning Social Bot Detection
Fraud Detection Computational Social Science Network Science AI Safety Human-Machine Societies

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Selected Publications

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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

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