Pengfei Jiao

Pengfei Jiao

Professor

Hangzhou Dianzi University

Biography

Pengfei Jiao, a professor and doctoral supervisor at the college of Cybersecurity, Hangzhou Dianzi University. He is engaged in research in network science and data intelligence, with specific research directions including complex networks, graph machine learning, data mining, and cybersecurity.

He has published over 40 high-level journal and conference papers as first author and corresponding author, including in journals and conferences such as the Journal of Computer Science and Technology, Journal of Computer Research and Development, Chinese Journal of Information, TKDE, TNNLS, TCYB, TBD, TCSS, AAAI, IJCAI, WWW, SIGIR, ICDM, and CIKM. Among these, there are more than 30 papers indexed by CCF-A and SCI-E.

He serves as a reviewer for several top international journals. He has been the principal investigator for projects funded by the National Natural Science Foundation of China (NSFC), including general and youth projects, projects under the National Key Research and Development Program, and major projects funded by the Zhejiang Provincial Natural Science Foundation.

[招生]热烈欢迎广大优秀学子来本实验室攻读博士或硕士学位。

感兴趣的同学可将简历发至 pjiao@hdu.edu.cn, 申请邮件的主题命名格式为“姓名-学校-专业”。

Interests
  • complex networks
  • graph machine learning
  • data mining
  • cybersecurity
Education

  • PhD in Computer Science

    Tianjin University

What’s New

Selected Publications

Pengfei Jiao, Hongqian Chen, Wang Zhang, Huaming Wu (2024). Enhancing Multi-Scale Diffusion Prediction via Sequential Hypergraphs and Adversarial Learning. AAAI2024.

Cite

Huan Liu, Pengfei Jiao*, Xuan Guo, Huaming Wu, Mengzhou Gao, Jilin Zhang (2024). HGN2T: A Simple but Plug-and-Play Framework Extending HGNNs on Heterogeneous Temporal Graphs. IEEE Transactions on Big Data.

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Meiting Xue, Zian Zhou, Pengfei Jiao*, Huijun Tang (2024). Fine-tuned Personality Federated Learning for Graph Data. IEEE Transactions on Big Data.

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Pengfei Jiao, Tianpeng Li, Yingjie Xie, Yinghui Wang, Wenjun Wang, Dongxiao He, Huaming Wu (2023). Generative Evolutionary Anomaly Detection in Dynamic Networks. IEEE Transactions on Knowledge and Data Engineering.

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Pengfei Jiao, Tianpeng Li, Huaming Wu, Chang-Dong Wang, Dongxiao He, Wenjun Wang (2023). HB-DSBM: Modeling the Dynamic Complex Networks From Community Level to Node Level. IEEE Transactions on Neural Networks and Learning Systems.

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Di Jin, Zhizhi Yu, Pengfei Jiao*, Shirui Pan, Dongxiao He*, Jia Wu, Philip S. Yu, Weixiong Zhang (2023). A Survey of Community Detection Approaches: From Statistical Modeling to Deep Learning. IEEE Transactions on Knowledge and Data Engineering.

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焦鹏飞, 刘欢, 吕乐, 高梦州, 张纪林, 刘栋 (2023). 基于对比学习的全局增强动态异质图神经网络. 计算机研究与发展.

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焦鹏飞, 潘婷, 金弟, 王文俊, 何东晓, 高梦州, 赵治栋 (2023). 角色导向的网络表示学习综述. 计算机学报.

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Pengfei Jiao, Xuan Guo, Xin Jing, Dongxiao He, Huaming Wu, Shirui Pan, Maoguo Gong, Wenjun Wang (2022). Temporal Network Embedding for Link Prediction via VAE Joint Attention Mechanism. IEEE Transactions on Neural Networks and Learning Systems.

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Pengfei Jiao, Xuan Guo, Ting Pan, Wang Zhang, Yulong Pei, Lin Pan (2022). A Survey on Role-Oriented Network Embedding. IEEE Transactions on Big Data.

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Dongxiao He, Chundong Liang, Huixin Liu, Mingxiang Wen, Pengfei Jiao*, Zhiyong Feng* (2022). Block Modeling-Guided Graph Convolutional Neural Networks. Proceedings of the AAAI Conference on Artificial Intelligence.

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Pengfei Jiao, Ruili Lu, Di Jin, Yinghui Wang, Huaming Wu (2021). An Effective and Robust Framework by Modeling Correlations of Multiplex Network Embedding. 2021 IEEE International Conference on Data Mining (ICDM).

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Xuan Guo, Tian Qiang, Wang Zhang, Wenjun Wang, Pengfei Jiao* (2021). Learning Stochastic Equivalence based on Discrete Ricci Curvature.

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Dongxiao He, Shuai Li, Di Jin, Pengfei Jiao*, Yuxiao Huang (2021). Self-Guided Community Detection on Networks with Missing Edges. Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence.

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Professional Services

Program Committee

  • AAAI Conference on Artificial Intelligence
  • International Joint Conference on Artificial Intelligence
  • Association for Computational Linguistics
  • IEEE International Conference on Data Mining
  • ACM Multimedia Conference
  • The Web Conference
  • European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases
  • ACM SIGKDD International Conference on Knowledge Discovery and Data Mining

Journal Reviewer

  • IEEE Transactions on Pattern Analysis and Machine Intelligence
  • IEEE Transactions on Knowledge and Data Engineering
  • IEEE Transactions on Fuzzy Systems
  • IEEE Transactions on Cybernetics
  • IEEE Transactions on Neural Networks and Learning Systems
  • IEEE Transactions on Computational Social Systems
  • IEEE Transactions on Big Data
  • Physica A: Statistical Mechanics and its Applications
  • Information Sciences
  • Knowledge-Based Systems
  • Neurocomputing
  • 中文信息学报
  • 计算机应用

Contact

  • pjiao@hdu.edu.cn
  • 1158, No.2 Street, Baiyang Street, HangZhou, Hangzhou Economic and Technological Development Zone 310018
  • Hangzhou Dianzi University Science Hall 708