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, supervised by Prof. Shaogang (Sean) Gong FREng. From 2024 to 2025, he was a Postdoctoral Research Assistants at SAYED Systems Group, working with Dr. Ahmed Sayed. He previously earned an M.S. degree from Sichuan University in 2020. 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. His research has been recognized as an ESI Highly Cited Paper. In addition, he serves as an evaluator for the ELLIS PhD Program and is an Associate Editor for the Expert Systems (SCI-indexed).
Selected Publications [ Full List ]
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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
[ PDF ] [ Link ] -
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
[ PDF ] [ Link ] -
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
[ PDF ] [ Link ] -
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
[ PDF ] [ Link ] -
Discovering Latent Knowledge Prototypes for Heterogeneous Federated Learning
Qilei Li, Ahmed M. Abdelmoniem
European Conference on Artificial Intelligence, (ECAI), Italy, October 2025
[ PDF ] [ Link ]
Workshop
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Image processing and deep learning Technologies in
Communication,
International Conference on 6G Communication and Internet of Things Technology (6GIoTT), Fuzhou, China, Oct. 2022
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Computer Vision Technologies for Smart City
Applications,
Frontiers of Electronics, Information and Computation Technologies (ICFEICT), Yangzhou, China, Apr. 2024
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Advancing AIGC: Faithful Generation and
Trustworthy Identification,
International conference on Computer, Big Data and Artificial Intelligence (ICCBD+AI), Jingdezhen, China, Nov. 2024
Work Experience
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Research Assistant (Full-time)
National University of Singapore (Singapore), Aug. 2020 – Oct. 2020
Worked on real-world image super-resolution with deep learning. -
Deep Learning Algorithm Engineer (Full-time)
Vision Semantics Limited (London, UK), July 2022 – Oct. 2022,
Improved person ReID framework using foundation models (ViT, CLIP, BLIP) for accurate retrieval of pedestrians. -
Analysis Algorithm Engineer (Part-time, 40% Full time)
Veritone Limited (London branch, US), Oct. 2022 – April 2024
Implementing large-scale models for object detection, applying domain generalization techniques to enhance real-world performance.