Xue Yang

Xue Yang is a Professor in the Department of Computer Science and Engineering at Shanghai Jiao Tong University's School of Electronic Information and Electrical Engineering. With an extensive publication record spanning from 2023 to 2026, Dr. Yang has established herself as a prominent researcher in multiple interdisciplinary fields at the intersection of computer science and practical applications.

Dr. Yang's research interests span a wide spectrum of cutting-edge computational fields including Artificial Intelligence, Machine Learning, Quantum Computing, Image Processing, and Healthcare Applications of AI. Her work demonstrates a remarkable ability to bridge theoretical computer science with practical applications across diverse domains such as biomedical informatics, oceanography, and e-commerce. The interdisciplinary nature of her research is evident in publications that combine computer vision with medical applications, quantum computing with image processing, and machine learning with environmental monitoring.

An analysis of Dr. Yang's recent publications reveals a strong focus on developing novel algorithms and computational frameworks that address complex real-world problems. Her work shows particular strength in generative models, feature learning architectures, and data-driven optimization approaches. The consistent publication output across multiple high-impact venues demonstrates sustained research productivity and influence in her fields of expertise.

• Exponential stability analysis for nonlinear systems
• Advanced machine learning architectures for biomedical applications
• Quantum-classical hybrid computing models
• Blockchain applications for network security
• Computer vision techniques for specialized imaging scenarios