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I am experienced in machine learning and deep learning techniques in the computer vision field, especially in medical image processing and reconstruction. During my Ph.D., I focused on the “acceleration and artifact correction of compressed sensing magnetic resonance image reconstruction with attention mechanism-based deep learning techniques.” I have studied various interdisciplinary fields, like artificial intelligence (AI), deep learning, pattern recognition, compressed sensing, and intelligence systems. Now, I am working to develop AI agents for multi-modal large languages. I wrote over 20 articles for academic journals and conferences based on deep learning approaches. Additionally, I’m a reviewer for various journals from multiple publishers, including IEEE, Springer Nature, Wiley, Elsevier, MDPI, Hindawi, Taylor & Francis LTD, and Tech Science Press.