CV
Education
- Ph.D, University of Chinese Academy of Sciences, 2026 (expected)
- B.S., Jilin University, 2021
Skills
- Language: C/C++, Python, Java, html, JavaScript, matlab.
- Framework: Django, Spring, Vue, WeChat Mini Program.
- Visualization: matplotlib, Apache ECharts, Seaborn, Graphviz, Microsoft Visio, PowerPoint.
- Development Software: Mysql, Redis, Postman, kafka, Nginx, Tomcat, bind.
- Machine and System: Windows, Linux, Cloud Server System, Raspberry Pi, Router.
- Tool: Git, Latex, CMake, vim.
- AI: Pytorch, CUDA, PyTorch Geometric, Deep Graph Library, networkx, scikit-learn, libtorch, Keras, CNTK.
- Large Language Model: Agent, Lora Fine-tuning, Transformer, GPT, BERT, Retrieval Augmented Generation, LangChain.
Publications
Flow Microelement-Driven Traffic Relationship Analysis: Robust Detection of Malicious Encrypted Traffic
Fu H, Sun D, Wei J, et al. Flow Microelement-Driven Traffic Relationship Analysis: Robust Detection of Malicious Encrypted Traffic[J]. IEEE Transactions on Information Forensics and Security, 2025.
Malicious Domain Detection Technology Based on Semantic Graph Learning
Fu Hao, Long Chun, Gong Liangyi, Wei Jinxia, Huang Pan, Lin Yanzhong, Sun Degang. Malicious Domain Detection Technology Based on Semantic Graph Learning[J]. Journal of Computer Research and Development, 2025, 62(9): 2298-2314. DOI: 10.7544/issn1000-1239.202440375
Robust Malicious Domain Detection Based on Spatio-Temporal Hypergraph Networks
Gong, L., Lv, K., Long, C., Fu, H., Wang, H., Wan, W., & Yang, W. (2024, October). Robust Malicious Domain Detection Based on Spatio-Temporal Hypergraph Networks. In 2024 IEEE International Symposium on Parallel and Distributed Processing with Applications (ISPA) (pp. 2038-2045). IEEE.
Malicious Domain Name Detection Method Based on Enhanced Embedded Feature Hypergraph Learning
Wei Jinxia, Long Chun, Fu Hao, Gong Liangyi, Zhao Jing, Wan Wei, Huang Pan. Malicious Domain Name Detection Method Based on Enhanced Embedded Feature Hypergraph Learning[J]. Journal of Computer Research and Development, 2024, 61(9): 2334-2346. DOI: 10.7544/issn1000-1239.202330117
Quicksolver: A lightweight malicious domains detection system based on adaptive autoencoder
Wan, W., Wang, K., Wei, J., Gong, L., Huang, P., Fu, H., & Fu, Y. (2023, October). Quicksolver: A lightweight malicious domains detection system based on adaptive autoencoder. In 2023 IEEE 48th Conference on Local Computer Networks (LCN) (pp. 1-4). IEEE.
Traffic Jam Prediction Based on Analysis of Residents Spatial Activities
Lv, Z., Fu, H., Tang, W., & Chen, X. (2020, April). Traffic jam prediction based on analysis of residents spatial activities. In 2020 International Conference on Computer Information and Big Data Applications (CIBDA) (pp. 37-40). IEEE.
Honors and Awards
- PhD National Scholarship, 2025
- Merit student, Chinese Academy of Sciences, 2025
- Pacemaker to Merit Student, Chinese Academy of Sciences, 2025
- Merit student, Chinese Academy of Sciences, 2024
- Merit student, Chinese Academy of Sciences, 2023