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Guangrui Liu

grliu.ntu@gmail.com GitHub

Guangrui Liu 刘广睿

Research Fellow, College of Computing and Data Science,
Nanyang Technological University

Formerly Associate Researcher, Faculty of Computing,
Harbin Institute of Technology, 2025–2026

I work with Prof. Dacheng Tao of Nanyang Technological University. My research interests include agent scheduling, automated scientific research, and trustworthy and explainable AI. I study how to schedule and coordinate AI agents, and how to make them reliable and their decisions explainable. My published work studies the security of machine-learning systems, especially attacks and defenses for machine learning–based network intrusion detection.

Projects

I built AI Scientist, a system that can run research end to end from scratch: building a knowledge base, surveying and reading the literature, proposing ideas, testing hypotheses, running experiments, writing and auditing papers, and even submitting them. The question it seeks to answer is where humans belong in scientific research in a future of fully automated science.

Selected Publications

VulnerGAN: A Backdoor Attack through Vulnerability Amplification against Machine Learning-Based Network Intrusion Detection Systems Guangrui Liu, Weizhe Zhang, Xinjie Li, Kaisheng Fan, and Shui Yu Science China Information Sciences, 65(7):170303, 2022.

A Membership Inference and Adversarial Attack Defense Framework for Network Traffic Classifiers Guangrui Liu, Weizhe Zhang, Xurun Wang, Stephen King, and Shui Yu IEEE Transactions on Artificial Intelligence, 6(2):317–332, 2025.

Flow-MI: Reconstructing Private Traffic Patterns via Flow-Matching Model Inversion Kaisheng Fan, Guangrui Liu, Yishu Gao, Xinyue Sun, Jiahui Wu, Arun Kumar Sangaiah, and Weizhe Zhang IEEE Transactions on Consumer Electronics, 2026.

FMSA: A Meta-Learning Framework-Based Fast Model Stealing Attack Technique against Intelligent Network Intrusion Detection Systems Kaisheng Fan, Weizhe Zhang, Guangrui Liu, and Hui He Cybersecurity, 6(1):35, 2023.

Data Contamination Defense Method for Intelligent Network Intrusion Detection Systems Based on Edge Examples Guangrui Liu, Weizhe Zhang, and Xinjie Li Journal of Computer Research and Development, 59(10):2348–2361, 2022.

Algal Bloom Trend Prediction Using Residual Attention Bidirectional LSTM Network K. Yang, Guangrui Liu, Y. Bao, and Y. Shi International Conference on Machine Learning and Computer Applications (ICMLCA), pp. 1–6, 2025.

Machine Learning-Based Detection of Gambling-Like Mobile Applications and Their Resource Coordination H. Su, Z. Ning, Z. Zhang, Z. Xi, C. Wu, Guangrui Liu, and Y. Cheng International Conference on Machine Learning, Big Data and Business Intelligence (MLBDBI), 2025.

Patents and Honors

Teaching

Education