Welcome to my GitHub!
I'm Yinghao Zhang, Ph.D. candidate at Harbin Institute of Technology, China. I'm researching MR image reconstruction, and dynamic MRI specifically, and I'm also focusing on the inverse problems in computer vision and math.
| 🎁 Projects | ⭐ Stars | 📚 Forks | 🛎 Issues | 📬 Pull requests |
| HIT-PowerPoint |  |
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| TMNN (Tensor Nuclear Norm) |  |
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| UnrollingNets-dMRI |  |
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| SVD-inv (Diff. SVD) |  |
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- JotlasNet: Joint tensor low-rank and attention-based sparse unrolling network for accelerating dynamic MRI
Y. Zhang, H. Gui, N. Yang, Y. Hu. Magnetic Resonance Imaging, 118, 110337, 2025. - Differentiable SVD based on Moore-Penrose Pseudoinverse for Inverse Imaging Problems
Y. Zhang, Y. Hu. arXiv preprint arXiv:2411.14141, 2024. - T2LR-Net: An unrolling network learning transformed tensor low-rank prior for dynamic MR image reconstruction
Y. Zhang, P. Li, Y. Hu. Computers in Biology and Medicine, 170, 108034, 2024. - Deep image-pass filter for accelerating dynamic MRI
Y. Zhang, C. Zhou, Y. Hu, Y. Hu. IEEE ISBI, 1–4, 2024. - Alternating Unrolling Network Of Jointly Low-Rank And Sparse Tensor For Accelerating Dynamic MRI
Y. Zhang, Y. Hu, C. Zhou, Y. Hu. IEEE ISBI, 1–4, 2024.
Above is the Harbin I've seen on 2022/09/15
That night I almost lost my cell phone and Y left Harbin tomorrow.
