Hui Fang

Hui Fang is a researcher at Loughborough University, Department of Computer Science, UK. Their work spans Artificial Intelligence, Machine Learning, and Remote Sensing, with recent focus on Medical Imaging, Natural Language Processing, and Urban Mobility. Publications highlight innovations in MRI Reconstruction, Legal Judgment Prediction, and Video SAR Analysis.

Research Interests include Graph Neural Networks, Transformer Models, and Data Mining applied to domains like Agricultural Technology, Healthcare Systems, and Smart Cities. Methodologies emphasize Interpretable AI, Federated Learning, and Multimodal Integration.

Key 2024-2025 Trends involve Transformer-Based Architectures for Medical Imaging, Information Bottleneck in Spatio-Temporal Networks, and Bootstrapping Techniques for Information Extraction. Collaborative projects with Dongdong Weng, Zhu Xiao, and Yong He demonstrate interdisciplinary applications in Transportation, Healthcare, and Agriculture.

Recent Co-authored Publications span IEEE Transactions, Neurocomputing, and Remote Sensing Journals, addressing Dynamic Phasor Modeling, 4D Facial Capture, and Virtual Reality Usability.