About
Zhang Neng is a Visiting Professor at Queen Mary University of London's School of Electronic Engineering and Computer Science. His research focuses on interdisciplinary areas including computer vision, bioinformatics, and optimization algorithms. He specializes in camera calibration techniques for sports videos and machine learning applications in protein function prediction.
Key technical contributions include self-supervised feature extraction models for camera calibration, four-point calibration methods, and improved optimization algorithms like Adagrad. His work bridges theoretical computer science with practical applications in sports technology and biomedical systems.
No scientific awards or grants are explicitly listed. Advising roles are not documented in available texts. Research collaborations likely involve cross-disciplinary teams within the School's Electronic Engineering and Computer Science domains.
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