Jun Lei

Jun Lei is a researcher at the National University of Defense Technology, College of Systems Engineering, with significant contributions to machine learning, biomedical informatics, and network analysis. His work spans interdisciplinary domains including wireless sensor networks, clinical diagnostics, and recommendation systems.

• University: National University of Defense Technology
• School: College of Systems Engineering
• Primary Fields: Machine Learning, Artificial Intelligence, Data Science

Research interests focus on deep learning for clinical and behavioral analysis, tensor decomposition for network modeling, and multi-modal entity alignment in federated systems. His recent work emphasizes uncertainty quantification in fake news detection and adversarial robustness in neural networks.

Key publication trends from 2023-2025 include CTR prediction (via attention networks and auxiliary tasks), biomedical signal processing (atrial fibrillation risk analysis), and network latency modeling using tensor completion. Collaborators include Jia Cheng, Ke Hu, and Zhe Wang on 8+ joint publications.