معرفی
Neng Zhang is a Visiting Professor at the School of Electronic Engineering and Computer Science, Queen Mary University of London. His research focuses on computer vision, machine learning, and optimization algorithms with applications in biomedical informatics and sports technology. He has contributed to camera calibration methods for sport videos and developed models for protein function prediction using secondary structure analysis.
His work bridges theoretical advancements in optimization (e.g., Adagrad improvements) and practical applications in computer vision. Recent research highlights include self-supervised feature extraction (SSFE-M) and high-accuracy camera calibration frameworks.
Notable technical contributions include four-point calibration techniques and deep learning approaches for biological data. His research aligns with interdisciplinary themes in AI, sports analytics, and computational biology.
Neng Zhang در سایتهای دیگر
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- ZZhang NengQueen Mary University of London · استاد مهمان
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