About Me

I am currently a first-year PhD candidate at Shanghai Jiao Tong Univeristy, supervised by Dr. Xi Lin. I received my bachelor’s degree of information security from School of Electronic Information and Electrical Engineering at Shanghai Jiao Tong University in 2022, supervised by Dr. Kui Meng. My research interest includes trustworthy AI, retrieval augmented generation, large language models and graph machine learning. If you are interested in my research or have any questions, please feel free to contact me.

Research Interests

• Retrieval Augmented Generation
• Large Language Models
• Graph Neural Networks
• Trustworthy AI

🔥 News

• 2025.01:  🎉🎉 My work “FeCoGraph: Label-aware Federated Graph Contrastive Learning for Few-shot Network Intrusion Detection” has been ACCEPTED for publication as a REGULAR paper in the IEEE Transactions on Information Forensics & Security.

📝 Publications

• FeCoGraph: Label-aware Federated Graph Contrastive Learning for Few-shot Network Intrusion Detection
  Qinghua Mao, Xi Lin, Wenchao Xu, Yuxin Qi, Xiu Su, Gaolei Li, Jianhua Li
  IEEE Transactions on Information Forensics & Security (Early access)

• Prompting Label Efficiency in Federated Graph Learning Via Personalized Semi-Supervision
  paper code
  Qinghua Mao, Xi Lin, Xiu Su, Gaolei Li, Lixing Chen, Jianhua Li
  ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

• Ensuring Minority Group Rights in Social IoT with Fairness-aware Federated Graph Node Classification
  paper
  Qinghua Mao, Xi Lin, Gaolei Li, Lixing Chen, Yuchen Liu, Yuxin Qi, Jianhua Li
  2023 IEEE Intl Conf on Parallel & Distributed Processing with Applications, Big Data & Cloud Computing, Sustainable Computing & Communications, Social Computing & Networking (ISPA/BDCloud/SocialCom/SustainCom)

• Multi-Level ACE-based IoT Knowledge Sharing for Personalized Privacy-Preserving Federated Learning
  paper
  Jing Wang, Xi Lin, Jun Wu, Qinghua Mao, Bei Pei, Jianhua Li, Suchang Guo, Baitao Zhang
  2023 19th International Conference on Mobility, Sensing and Networking (MSN)

• Improving Chinese Named Entity Recognition by Search Engine Augmentation
  paper code
  Qinghua Mao, Jiatong Li Kui Meng, arXiv preprint arXiv:2210.12662

• Towards Multi-Task Generative-AI Edge Services with an Attention-based Diffusion DRL Approach
  paper
  Yaju Liu, Xi Lin, Siyuan Li, Gaolei Li, Qinghua Mao, Jianhua Li, arXiv preprint arXiv:2405.0838

• GraphTheft: Quantifying Privacy Risks in Graph Prompt Learning
  paper
  Jiani Zhu, Xi Lin, Yuxin Qi, Qinghua Mao, arXiv preprint arXiv:2411.14718

Project

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• Lorem ipsum dolor sit amet, consectetur adipiscing elit. Vivamus ornare aliquet ipsum, ac tempus justo dapibus sit amet, A, B, C, CVPR 2020

🎖 Honors and Awards

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📖 Educations

• 2022.09 - 2028.03 (expected), PhD candidate (master-doctor combind program), Computer Science and Cybersecurity, School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University.
• 2018.09 - 2022.06, Bachelor, Information Security, School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University.

💬 Invited Talks

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• 2021.03, Lorem ipsum dolor sit amet, consectetur adipiscing elit. Vivamus ornare aliquet ipsum, ac tempus justo dapibus sit amet. | [video]

💻 Internships

• 2019.05 - 2020.02, Lorem, China.