Dr. Li Jing

Assistant Professor
School of Computing and Data Science
Xiamen University Malaysia

email: jing.li@xmu.edu.my
office: A1-349, Xiamen University Malaysia
profiles: Google Scholar · University profile

research: AI-driven cyber defense, trustworthy AI, secure agentic systems, agentic cybersecurity operations, and IoT / edge / cyber-physical security.

Intelligent, Autonomous & Trustworthy Cybersecurity

Dr. Li Jing
2026.09.08
at Qingshan Lake, Hangzhou

Recent representative publications

  • AITC 2026, SIFT-IDS: Sparse Iterative Feature Tuning for In-Vehicle Intrusion Detection [DOI]
  • EAAI 2025, NFIoT-GATE-DTL IDS: Genetic algorithm-tuned ensemble of deep transfer learning for NetFlow-based intrusion detection system for internet of things [DOI]
  • Journal of Big Data 2024, Optimizing IoT intrusion detection system: feature selection versus feature extraction in machine learning [DOI]
  • IEEE TNSM 2025, Adaptive NetFlow IIoT Intrusion Detection with Deep Transfer Learning, Genetic Optimization, and Ensemble Methods for Network Management [DOI]
  • IJCNDS 2024, A critical review of feature selection methods for machine learning in IoT security [DOI]
All publications →

Research directions

Detect → Understand → Reason → Act
Protect the AI that acts.

Students Research Publications

Funding Group 0071 Team

Team photoPhotos will appear here.
Funding Group 0071 Team

Research Club Team

Team photoPhotos will appear here.
Research Club Team

Potential research directions

  • Intrusion Detection
  • AI-LLM for Security
  • Network in Industries
  • Security in LLM
  • IoT Security
  • SOC Threat Models
  • Web Security
  • Zero-knowledge proofs
  • Credential Extraction Attack
  • Malicious Traffic Data Manipulation
  • Sentiment Analysis
  • DDoS Attack
  • Malware Attack
  • APT Attack
  • Phishing attack
  • Quantum computing

Bio

I’m Dr. Li Jing, an Assistant Professor at Xiamen University Malaysia.

My background combines a PhD in Informatics Engineering with academic and industry experience across China, the United States and Malaysia. My interests span AI, networking, IoT, cybersecurity, digital twins and LLM applications.

Official university profile ↗

This research agenda connects machine-learning-based threat detection with trustworthy AI, secure agent architectures and human-supervised cyber defense. IoT, edge and cyber-physical environments provide the deployment context where reliability, privacy and resource constraints matter.

The goal is a connected progression from observing threats to explaining evidence, making decisions and taking accountable action.

RobustnessExplainabilityPrivacyContinual learningHuman oversight

Research

Explore the questions, methods and emerging opportunities shaping the agenda. Related reading is curated from my research library and includes work by other researchers.

Teaching

Courses taught:

Learning & research resources

Bookshelf →

Fifteen recommended books across computer science, networks & cybersecurity, and AI, with introductions and official links.

Publications

Contact

Research conversations & collaboration.

jing.li@xmu.edu.my ↗

School of Computing and Data Science
Xiamen University Malaysia
Office A1-349