I am Yinghao Zhang, a Ph.D. candidate at Harbin Institute of Technology, specializing in inverse problems in medical imaging. My primary research focuses on undersampled MRI image reconstruction, leveraging compressed sensing, deep learning, and tensor theory. The methodologies I develop are generalizable to a broader range of ill-posed problems, including image restoration and super-resolution. With a solid mathematical foundation and an in-depth research approach, I am dedicated to advancing computational imaging techniques for clinical applications.

我是张英豪，哈尔滨工业大学博士研究生，研究方向为医学影像逆问题，主要聚焦于欠采样MRI图像重建，利用压缩感知、深度学习和张量理论。所开发的方法可推广到更广泛的图像逆问题，包括图像恢复和超分辨率。数学基础扎实，研究深入，致力于做出真正推动科学发展的工作。