Qilei Li

Qilei Li is an Associate Professor at Faculty of Artificial Intelligence in Education, Central China Normal University, Wuhan, China. He received Ph.D. in Computer Science from Queen Mary University of London in 2024. From 2024 to 2025, he was a Postdoctoral Research Assistants at SAYED Systems Group, working with Dr. Ahmed Sayed. His current research interests lie in multimodal large language models (LLMs) for education, with a particular emphasis on learning domain-invariant knowledge representation with privacy-aware distributed machine learning from multimodal data captured in diverse environments and developing AI systems tailored for educational applications.

Selected Publications

  1. Towards multimodal disinformation detection by Vision-language Knowledge Interaction
    Qilei Li, Mingliang Gao, Guisheng Zhang, Wenzhe Zhai, Jinyong Chen, Gwanggil Jeon
    Information Fusion, September 2023, IF=15.5
  2. Mitigating Malicious Model Fusion in Federated Learning via Confidence-Aware Defense
    Qilei Li, Pantelis Papageorgiou, Gaoyang Liu, Mingliang Gao, Linlin You, Chen Wang, Ahmed M. Abdelmoniem
    Information Fusion, July 2025, IF=15.5
  3. Leverage Cross-Domain Variations for Generalizable Person ReID Representation Learning
    Qilei Li, Shitong Sun, Weitong Cai, Shaogang Gong
    Pattern Recognition, August, 2025, IF=7.6
  4. Coupled GAN with relativistic discriminators for infrared and visible images fusion
    Qilei Li, Lu Lu, Zhen Li, Wei Wu, Zheng Liu, Gwanggil Jeon, Xiaomin Yang
    IEEE Sensors Journal, June 2021, ESI Highly Cited*3
  5. Discovering Latent Knowledge Prototypes for Heterogeneous Federated Learning
    Qilei Li, Ahmed M. Abdelmoniem
    European Conference on Artificial Intelligence, (ECAI), Italy, October 2025